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. 2013 May 15;1(1):cot006. doi: 10.1093/conphys/cot006

Overcoming the challenges of studying conservation physiology in large whales: a review of available methods

Kathleen E Hunt 1,*, Michael J Moore 2, Rosalind M Rolland 1, Nicholas M Kellar 3, Ailsa J Hall 4, Joanna Kershaw 4, Stephen A Raverty 5, Cristina E Davis 6, Laura C Yeates 7, Deborah A Fauquier 8, Teresa K Rowles 8, Scott D Kraus 9
PMCID: PMC4806609  PMID: 27293590

A description and comparison of the four major methods available for studying conservation physiology of large whales, namely analysis of faecal, respiratory vapour, and skin/blubber biopsy samples, and photographs.

Keywords: Blow, biopsy dart, Cetacea, faecal samples, non-invasive, visual health assessment

Abstract

Large whales are subjected to a variety of conservation pressures that could be better monitored and managed if physiological information could be gathered readily from free-swimming whales. However, traditional approaches to studying physiology have been impractical for large whales, because there is no routine method for capture of the largest species and there is presently no practical method of obtaining blood samples from free-swimming whales. We review the currently available techniques for gathering physiological information on large whales using a variety of non-lethal and minimally invasive (or non-invasive) sample matrices. We focus on methods that should produce information relevant to conservation physiology, e.g. measures relevant to stress physiology, reproductive status, nutritional status, immune response, health, and disease. The following four types of samples are discussed: faecal samples, respiratory samples (‘blow’), skin/blubber samples, and photographs. Faecal samples have historically been used for diet analysis but increasingly are also used for hormonal analyses, as well as for assessment of exposure to toxins, pollutants, and parasites. Blow samples contain many hormones as well as respiratory microbes, a diverse array of metabolites, and a variety of immune-related substances. Biopsy dart samples are widely used for genetic, contaminant, and fatty-acid analyses and are now being used for endocrine studies along with proteomic and transcriptomic approaches. Photographic analyses have benefited from recently developed quantitative techniques allowing assessment of skin condition, ectoparasite load, and nutritional status, along with wounds and scars from ship strikes and fishing gear entanglement. Field application of these techniques has the potential to improve our understanding of the physiology of large whales greatly, better enabling assessment of the relative impacts of many anthropogenic and ecological pressures.


Large whales experience numerous anthropogenic pressures that warrant closer study from a conservation physiology perspective. Most large cetacean species were subjected to severe overexploitation by commercial whaling over the last two centuries (Clapham et al., 1999). Since the international moratorium on commercial whaling in 1986, some populations have recovered to varying degrees, but most have not yet reattained their historical numbers, and most populations are still threatened or endangered (Kraus et al., 2005; Freeman, 2008; Lotze and Worm, 2008; Reynolds et al., 2009; IUCN, 2012; McClenachan et al., 2012). Large whale populations today are facing a novel mix of anthropogenic impacts, including ship strikes, entanglement in fishing gear, exposure to anthropogenic noise (e.g. shipping noise, military sonar, and seismic exploration), chronic exposure to a variety of toxins and pollutants, and possible impacts of global climate change that include potential shifts in prey availability as well as changes in ice cover and human use of polar oceans (Doney et al., 2011; Pompa et al., 2011; Davidson et al., 2012).

Many of these conservation pressures are thought to elicit acute or chronic physiological responses that may be detectable in individual animals before population-level impacts on health, mortality, or fecundity become apparent (Wikelski and Cooke, 2008; Cooke and O'Connor, 2010). Examples of these responses include elevations in stress-associated hormones, declines in reproductive hormones, depressed immune responses, and declines in body condition (Wikelski and Cooke, 2008; Cooke and O'Connor, 2010; Homyack, 2010). Such physiological changes could be used as indicators to monitor the occurrence, extent, severity, and cumulative effects of various conservation-relevant pressures on large whales. Physiological measures can also help to elucidate specific causes and changes in patterns of mortality and reproduction (Wikelski and Cooke, 2008; Cooke and O'Connor, 2010). A recent workshop of the United States National Marine Fisheries Service (Marine Mammal Breath Workshop, La Jolla, CA, USA, 13–14 August 2012, a result of which is this review) concluded that physiological measures could be useful for monitoring, studying, and managing various conservation crises that periodically affect large whale populations, potentially including long-term impacts of oil spills, unusual mortality events, episodes of unexplained reductions in reproduction, and monitoring of individual whales to assess the need for possible management intervention in unusual situations (e.g. an entangled whale or a whale that has swum up a freshwater river). Such measures could also be informative for assessing the effects of chronic sources of disturbance (shipping noise, seismic exploration, and climate change). Furthermore, cetaceans have been proposed as model species to use as ‘ecosystem sentinels’, particularly migratory mysticetes and polar species, due to their use of multiple marine ecosystems across large geographical areas (Moore, 2008; Fossi et al., 2012). There is therefore increasing interest in development and application of conservation physiology techniques for large whales.

Unfortunately, large whales are perhaps the most difficult taxon of vertebrates to study physiologically. Perhaps the greatest logistical difficulty is that there is currently no routine method of capturing and restraining a live large whale unharmed. This means that there is no practical means of obtaining that most classic of physiological samples, a blood sample, without killing the animal. Furthermore, there are no facilities that can accommodate species larger than ∼8 m in body length (e.g. larger than killer whales, Orcinus orca), which limits application of many classic physiological methods to whales. This is particularly a problem for research on basic physiology of baleen whales, because no mysticete species are routinely kept in captivity. Compounding the problem, cetaceans in general are difficult to observe and spend only brief periods of time at the surface. The result is that our present understanding of large whale physiology is limited compared with most other vertebrate taxa.

Fortunately, several techniques have recently become available that allow direct study of many physiological parameters through a variety of non-lethal, minimally invasive approaches. We review the major methods currently available for non-lethal assessment of cetacean physiology, focusing on techniques that can be applied to faecal samples, respiratory vapour samples, blubber and skin biopsy samples, and photographic data. Our purpose is to encourage conservation physiologists to further develop and apply these techniques to the conservation and management of large whales.

Faecal samples

Faecal samples have long been studied for information specific to digestive physiology, particularly intestinal parasitology and diet analysis, but more recently mammalian faeces have been shown to contain very high concentrations of steroid hormones as well as several other measures of interest (Wasser et al., 1988; Schwarzenberger et al., 1996a; Brown and Wildt, 1997; Palme, 2005). As a result, there has been increasing interest in applying these faecal analytical techniques to large whales.

Faecal sample collection from large whales

Faecal samples have been collected successfully from multiple species of large whales, including North Atlantic right whales (NARWs; Eubalaena glacialis; Weisbrod et al., 2000; Rolland et al., 2005, 2007), sperm whales (Physeter macrocephalus; Smith and Whitehead, 2000), killer whales (Ayres et al., 2012), humpback whales (Megaptera novaeangliae; Roman and McCarthy, 2012), blue whales (Balaenoptera musculus; Lefebvre et al., 2002), and Blainville's beaked whales (Mesoplodon densirostris; D. Claridge, personal communication, Bahamas Marine Mammal Research Organization, Abaco, Bahamas). Many species defaecate at the surface prior to diving and, in the case of right whales, also in the vicinity of surface active (courtship) groups. Faecal samples have been located opportunistically during whale population surveys, and can also be collected by dedicated focal following of individuals or groups of whales. In the case of Blainville's beaked whales, the animals defaecate while travelling ∼3–4 m subsurface during intervals between deep dives, and samples have been collected successfully by towing a researcher in snorkel gear who follows the whales underwater and dives to collect samples using a small dipnet and Ziploc bag (D. Claridge, personal communication, Bahamas Marine Mammal Research Organization, Abaco, Bahamas). Scent-detection dogs working from the bow of a boat have been successfully used to locate floating faecal samples of NARWs (Rolland et al., 2006) and killer whales (Ayres et al., 2012). In right whales, use of detection dogs increased sampling rates over 4-fold, with dogs locating samples from as far away as a nautical mile (Rolland et al., 2006; Fig. 1).

Figure 1:

Figure 1:

faecal samples from large whales can be located opportunistically, via focal follows, or with trained dogs. This photograph illustrates use of a trained scenting dog for collection of North Atlantic right whale (Eubalaena glacialis) faecal samples. Once scent is detected, the boat is steered into the wind until the sample is located, upon which the dog receives a tennis-ball reward (Rolland et al., 2007). (Photo: New England Aquarium, Fisheries and Oceans Canada permit #MAR-SA-2005-2007.)

Faecal sample consistency in large whales varies with species (and sometimes season and diet), from well-formed floating semi-solid clumps (e.g. right whales and sperm whales) to a more fluid, dispersed plume (e.g. humpback whales). Floating semi-solid samples can be scooped from the water surface using a fine-mesh nylon dipnet, draining off as much seawater as possible. More fluid faeces can be scooped into a plastic container or bag, although this can result in a sample containing a high ratio of saltwater to faeces. In the latter case, the possibility of migration of polar hormone metabolites into the seawater should be examined.

Faecal hormone analysis

Many recent faecal studies in large whales have focused on faecal steroid hormones (e.g. Ayres et al., 2012; Rolland et al., 2012). In vertebrates, steroid hormones (androgens, oestrogens, progestagens, mineralocorticoids, and glucocorticoids), are primarily cleared from blood by the liver and excreted via two routes: (i) secretion in bile to the gut lumen, from which the hormones are voided in faeces; and (ii) conjugation to polar side-groups and eventual voiding via the urine (Palme et al., 1996; Möstl and Palme, 2002; Busch and Hayward, 2009; Sheriff et al., 2010; Wasser et al., 2010). In faeces, steroid hormones accumulate over ∼4–48 h, depending on the species-specific gut transit time (e.g. Wasser et al., 2010). Thus, faecal hormone measures are usually interpreted to reflect average endocrine activity of the previous day or two, unlike a blood sample that represents a single point in time. Upon excretion, the final concentration of steroids per gram of faeces is often several orders of magnitude higher than it is per millilitre of plasma (e.g. Wasser et al., 1988), such that even a small faecal sample typically contains sufficient hormone for multiple analyses.

Steroid hormones are usually altered chemically during gut transit, with each parent hormone producing a family of related ‘faecal hormone metabolites’ (FHMs; Brown and Wildt, 1997; Palme et al., 2005). The chemical identity of these FHMs is species specific, and in most mammalian taxa (including cetaceans) is currently unknown. Thus, techniques that recognize only certain specific steroids, such as high-performance liquid chromatography (HPLC) and mass spectrometry, are typically not used for FHM analysis. Rather, antibody-based techniques, such as immunoassays, are the preferred method, because many antibodies can detect not only the parent hormones but also certain of the FHMs. In the last two decades, several antibodies have been identified that recognize common mammalian FHMs across a wide variety of taxa (Schwarzenberger et al., 1996b; Wasser et al., 2000, 2010; Graham et al., 2001).

Owing to the variety of FHMs that may be present, every assay must be validated for each new species studied. Essential validations include parallelism tests, which verify that the antibody binds well to FHMs of that species, and accuracy tests (also known as ‘matrix tests’), which determine whether the assay can distinguish low from high hormone concentrations in the presence of faecal matrix (Grotjan and Keel, 1996). A second set of validations, often termed ‘physiological validations’, must then be performed to test whether the measured FHM concentrations truly reflect the physiological state of the animal (Palme, 2005). In large whales, physiological validation can be accomplished via study of animals of known physiological state (e.g. adult males, pregnant females, lactating females, etc.) to test whether FHM measures correctly assign animals to their (independently known) physiological state. Ideally, normal ranges for each FHM should be established for each demographic group under study (age, sex, and reproductive state) and sometimes for different seasons and diets as well (Touma and Palme, 1996; Goymann, 2012). It is particularly important to delineate the normal range in a healthy control population. For example, during long-term chronic stress it is possible for glucocorticoid levels to fall below normal values (Cyr and Romano, 2009). Such a drop below normal may only be recognized and interpreted correctly if the normal range in a healthy, relatively unstressed, control population has been adequately described or, alternatively, if the same population is available for study before vs. after exposure to a given stressor.

A host of studies in terrestrial mammals have demonstrated that if the aforementioned validations are carefully performed, FHMs accurately reflect reproductive state, adrenal activity, and even thyroid activity, and can be useful as non-invasive measures of reproduction, stress, nutritional status, and metabolic rate (Schwarzenberger et al., 1996b; Wasser et al., 2000, 2010; Schwarzenberger, 2007; Busch and Hayward, 2009; Sheriff et al., 2010). The initial validations are commonly performed in small, well-studied populations with known individuals, but once validations are successful the technique can frequently be applied to larger, less well-studied populations. The same approach has been used successfuly in faecal hormone studies of terrestrial species, many of which began with validations performed on known individuals, with later extension of the techniques to larger, less well-known populations (e.g. Hunt and Wasser, 2003; followed by Wasser et al., 2004).

In large whales, faecal hormone techniques have been applied successfully to both mysticetes and odontocetes, with the most thorough studies so far focusing on right whales and killer whales. Over a decade of research on western NARWs has shown that it is possible to collect large numbers of faecal samples from free-swimming whales for non-invasive studies of reproductive and stress endocrinology (Rolland et al., 2005, 2006, 2012; Hunt et al., 2006). Analysis of reproductive hormone metabolites (oestrogens, progestins, and androgens), in combination with life history data from photographically identified right whales, has demonstrated that levels of faecal hormones discriminate accurately between right whales of known reproductive state (Rolland et al., 2005). The ratio of faecal androgens to oestrogens is 100% accurate for determining the gender of samples from right whales of known sex. Mature males have more than double the faecal androgen level of younger males, highly elevated levels of faecal progestins correctly predict pregnancy, and lactating females can be distinguished from non-lactating, non-pregnant females via higher faecal oestrogen and androgen levels.

In addition, faecal glucocorticoid (GC) analysis has been validated for evaluation of relative levels of adrenocortical activity and physiological stress in right whales (Hunt et al., 2006). Baseline levels of faecal GCs varied with age and reproductive state and, therefore, GCs must be interpreted with knowledge of the age-class and reproductive condition of the whale (Hunt et al., 2006); fortunately, this information can often be gathered via the other steroid hormones. Highly elevated GCs in whales in a known stressed condition (i.e. severe entanglement in fishing gear), compared with expected GC levels for that whale's demographic class, have provided biological validation that glucocorticoid FHMs accurately reflect adrenocortical activation and physiological stress (Hunt et al., 2006). Finally, measurement of faecal GCs in tandem with acoustic studies has provided the first evidence that exposure to low-frequency underwater noise from ships may be associated with chronic stress in right whales (Rolland et al., 2012).

Similar techniques have recently been applied to odontocetes as well, notably the southern resident killer whales in Puget Sound (Ayres et al., 2012). This population has declined in recent years, and theories for the decline include nutritional stress from depleted stocks of prey (chinook salmon) and/or seasonal disturbance related to high levels of vessel traffic in close proximity to the whales. By using a combination of faecal GCs (interpreted as a measure of both types of stressors) and faecal thyroid hormone metabolites (interpreted as a measure of nutritional stress specifically), Ayres et al. (2012) were able to assess the relative impacts of the two types of stressors. The authors concluded that the more important factor impacting the population is nutritional stress.

Non-endocrine faecal measures

Faecal samples have long been used for diet analysis, traditionally via visual inspection of skeletal elements and more recently using genetic methods and stable isotope analysis (e.g. killer whale, Hanson et al., 2010). Digestive efficiency can also be assessed via comparison of faeces to the composition of prey. Using this approach, Swaim et al. (2009) demonstrated that while the NARW's primary prey contains a high proportion of wax esters relative to other lipids, NARW faeces contain very few wax esters. This indicates that NARWs are highly efficient at digestion of wax esters—an unusual property among mammals. Such approaches could be useful for modelling of habitat quality, e.g. determining the prey base necessary to support a given population size in a given habitat.

Faecal samples can also be used to monitor exposure to toxins and parasites. The algal toxin domoic acid, which has caused dramatic mortality events in pinnipeds, has been detected in humpback and blue whale faeces, particularly during episodes of toxic algal blooms (Lefebvre et al., 2002). During a 6 year study of NARWs, more than one-quarter of faecal samples indicated annual exposure to domoic acid and 70–80% to paralytic shellfish toxins, with 22% of samples showing concurrent exposure to both neurotoxins (Doucette et al., 2012). The protozoan parasites Cryptosporidium spp. and Giardia spp. have been detected in both NARW faeces and bowhead whale (Balaena mysticetus) faeces (Hughes-Hanks et al., 2005). Prevalence of the two parasites was much higher in NARWs (71% of NARWs were exposed to Giardia, and nearly a quarter to Cryptosporidium), but genotyping of the isolates is needed to determine the species and potential source of these organisms.

Finally, faecal matter also includes DNA from a variety of sources, including the host animal, the prey species, and gut microflora (Valentini et al., 2009). Characterization of the gut microbiome of large whales via genomic analyses may be useful for monitoring digestive physiology and disease. In mammals, the composition of gut microflora often shows dramatic shifts associated with stress and disease (e.g. Guarner and Malagelada, 2003; Bailey et al., 2010). Additionally, recent studies in several species indicate that the composition of the gut microflora plays an important role in host energy metabolism (Cani and Delzenne, 2007), stress physiology (Dinan and Cryan, 2012), and immune response (Round and Mazmanian, 2009).

The host's own DNA is also present in faeces. Host DNA can be useful for identifying the individual whale (e.g. in cases where the sample was found floating among a group of whales), for associating analytical results with a particular individual, and for confirming the species. Generally, mammalian faecal DNA is highly degraded and presents some analytical challenges, including poor amplification success, ‘allelic dropout’ (heterozygotes appearing as homozygotes), and short fragment length. However, with selection of appropriate markers and modification of extraction techniques to eliminate faecal PCR inhibitors, genetic techniques have been successfully adapted to faeces (Pages et al., 2009). In NARWs, approximately half of tested faecal samples could be successfully genotyped to the individual (Gillett et al., 2010).

Faecal sample analysis: advantages, disadvantages, and next steps

Faecal analysis offers a window into aspects of digestive, reproductive, adrenal, and thyroid physiology that have until now been difficult to study in large whales (Table 1). Faecal hormone analyses, in particular, have already proved useful for applied conservation questions in two endangered populations, i.e. elucidating effects of chronic noise in NARWs (Rolland et al., 2012), and disentangling relative impacts of boat disturbance and food availability in southern resident killer whales (Ayres et al., 2012). Faecal DNA and toxin analyses have recently been successful as well (see above).

Table 1:

comparison of techniques currently available for study of conservation physiology of large whales

Sample type Typical collection methods Typical sampling rate Positive aspects Potential limitations Information relevant to conservation physiology
Faeces Locate visually or with dog Low without dog Non-invasive Low sampling rate Diet analysis
Surface collection with scoop or net; subsurface collection with divers Medium with dog Extremely high steroid content (easily detectable) Targeted sampling difficult Endoparasites
Well-established steroid hormone techniques Individual not always known (cannot always be genotyped due to DNA degradation) Lipophilic hormones
Long ‘sampling time frame’ may enable study of chronic stress Cannot sample fasting seasons Fatty acid and stable isotope analysis of diet
Repeated sampling possible Toxin exposure (e.g. domoic acid)
Gut microbiome and relationships to stress, immunity, and disease
Some immunoglobulins and other hormones may be detectable (?)
Respiratory vapour (‘blow’) Pole-based samplers Medium Non-invasive Novel technique; many validations remain to be done Several hormones detectable
Remote-controlled devices possible (?) Targeted biomarker sampling possible May contain large variety of other detectable compounds (?)
Different methods for droplets, exhaled breath condensate, and gases Repeated sampling possible Target biomarkers at trace concentratons May be proxy for blood, as has been observed in human studies
Wide range of metabolites can be studied simultaneously Advanced detection strategies needed for quantitative analysis Respiratory microbiome
Host immune response
Epithelium and blubber biopsies Biopsy dart used with crossbow, pole, or pneumatic rifle Medium/high Good sampling rate Invasive; causes small wound Lipophilic hormones in blubber
Sloughed skin may also be collectable (?) Many archived samples available Permit restrictions Lipid/fatty acid analysis: contaminent load (POPs), diet, age, etc.
Tissue sample obtained; living cells present; high protein and nucleic acid content Repeated sampling not always possible Epidermal microbiome, skin lesions, and epidermal diseases
‘Lag’ time of blubber hormones unknown Epidemal proteomics (CYP450-related enzymes for contaminants, SRPs for stress studies)
If sloughed, then non-invasive Transcriptomic and genomic approaches possible (?)
Photographic analysis Lateral view with boat-based photography Very high Non-invasive External appearance only Blubber reserves/nutritional state
Best sampling rate Epidermal lesions
Dorsal view/body outline with aeroplanes or remote-control devices Repeated sampling possible Aeroplane-based photography has cost/safety issues Ectoparasites
Entanglement and injury
Infrared thermography Thermal physiology (infrared)

Novel, untested possibilities are indicated with question marks. POP = persistent organic pollutants; CYP450 = cytochrome P450; SRP = stress-response proteins.

Faecal sampling has several advantages; it is entirely non-invasive (i.e. the animal is not contacted during sampling), and FHMs tend to be present in very high concentrations and are readily detectable with cost-effective techniques. The development of faecal hormone analytical techniques for whales has benefited from a vast literature on terrestrial species. Finally, given that FHMs reflect a relatively long time frame of circulating hormone (often 1–2 days), FHMs may be well suited for distinguishing effects of acute vs. chronic environmental stressors (Busch and Hayward, 2009).

The major disadvantages to faecal sampling include low sampling rate, difficulty of targeted sampling (that is, focal whales may not defaecate while under observation), occasional uncertainty as to which individual the sample is from, and inability to collect samples during fasting seasons for some species, which precludes study of a potentially important part of the annual cycle (Table 1). For FHM analysis, each new species studied requires assay validations, physiological validations on known-state individuals, and establishment of normal ranges for different demographic groups. Other issues that have not been fully resolved include potential effects of diet and season, individual variation, possible degradation of FHMs after sample collection, and potential loss of polar hormone metabolites to seawater.

There are many additional novel faecal measures that should be investigated in large whales. Faecal thyroid hormones are a recent addition to the available endocrine panel (Wasser et al., 2010; Ayres et al., 2012), and faecal aldosterone offers the potential of additional nuanced information on adrenal activity. The potential exists to develop faecal immune measures, particularly immunoglobulin A, which in other mammals tends to increase in faeces during episodes of inflammation (e.g. human infants, Saarinen et al., 2002) and other forms of stress (e.g. social stress in mice, Bundgaard et al., 2012). Other possible measures of interest from faeces include various different oestrogens (estriol, estrone, etc.), reverse-triiodothyronine, and further development of genetic and genomic techniques.

Respiratory samples (‘blow’)

Large whales produce clouds of ‘blow’ (exhaled droplets of condensed respiratory vapour) as they exhale at the surface. Individual whales usually blow several times during a single surfacing interval, and often they can be approached closely by boats during this time. The potential to sample part of this ‘blow cloud’ has not gone unnoticed, and in recent years it has been realized that blow may represent a valuable, entirely non-invasive, physiological sample that could be collected with relative ease. Recent developments in human breath research (Schubert et al., 2004; Dummer et al., 2011; Dweik, 2011) have accelerated interest in developing this novel method for cetaceans.

Human breath studies have shown that mammalian breath contains a mixture of volatile compounds in the gaseous phase (Miekisch et al., 2004), as well as non-volatile compounds that occur in small aerosolized droplets (Kharitonov and Barnes, 2002; Grob et al., 2008). Thousands of putative compounds have been identified in human breath (Bean et al., 2012). Some of these have been shown to be physiologically relevant indicators of health and disease, such as breath biomarkers indicative of specific bacterial, fungal, and viral respiratory infections (Phillips et al., 2010a, b, 2012; Chambers et al., 2012), and others associated with various types of cancer (Miekisch et al., 2004; Machado et al., 2005; Mazzone, 2008; Horvath et al., 2009; Fuchs et al., 2010; Amann et al., 2011). Breath analysis can also detect the presence of ingested compounds (Beck et al., 2012), exposure to specific exogenous substances from the environment (Maniscalco et al., 2006; Pleil, 2008), and changes in biomarkers that precede immunological events (Phillips et al., 2004a, b) and stressful events (Turner et al., 2013). The potential application of these measures to cetacean conservation physiology studies is obvious.

Human breath studies have shown that the sampling method can have profound effects on the analytical results (Bojko et al., 2011). In humans, inert Tedlar® bags are often used for collection of whole breath (Groves and Zellers, 1996; Steeghs et al., 2007; Beauchamp et al., 2008), while non-volatile components are often collected via cooling of exhaled breath to produce ‘exhaled breath condensate’ (EBC; Soyer et al., 2006; Davidsson and Schmekel, 2010), and volatile compounds can be collected with vacuum canisters (Lindstrom and Pleil, 2002) or sorbent traps (Phillips, 1997; Ligor et al., 2008; Mieth et al., 2009; Bojko et al., 2011). Analytical methods for human breath analysis have primarily relied on various forms of traditional mass spectrometry, but other alternative methods are also being developed, including ion mobility spectrometry (Baumbach, 2009), differential mobility spectrometry (Krebs et al., 2005; Molina et al., 2008), selected ion flow tube mass spectrometry (Diskin et al., 2003; Smith and Spanel, 2011a, b; Spanel and Smith, 2011), colorimetric sensors that indicate the presence of fingerprints of breath compounds of interest (Mazzone et al., 2007), and single compound detectors (e.g. nitrogen oxide sensors, Mondal et al., 2011).

Respiratory sample collection from large whales

Several of the human breath-sampling methods described above have been successfully modified for cetaceans. Blow samples have been collected from small trained odontocetes in captivity by holding an inverted tube or other device directly over the animal's blowhole (Frere et al., 2010; Thompson et al., 2013). Blow droplets have been collected from both humpbacks and NARWs using a variety of sampling devices attached to long poles positioned over the blowholes. Pole-based samplers have included the following: nylon fabric suspended across a 15 cm ring or a plastic framework (NARW and humpback; Hogg et al., 2009; Hunt et al., 2012; Fig. 2), an inverted funnel (used with a stranded grey whale, Eschrichtius robustus; C. Davis, unpublished data), and Petri dishes (killer whales, Schroeder et al., 2009). A remote-controlled helicopter has been used to collect blow droplets on Petri dishes attached to the helicopter skids (humpback whales, Acevedo-Whitehouse et al., 2010). Recently, a remote-controlled ‘hexacopter’—a small, stable remote-controlled helicopter with six rotors—has been developed that shows potential for blow collection (W. Perryman, personal communication, NOAA SW Fisheries Science Center, La Jolla, CA, USA). Sample volume and sampling rate have generally been acceptable with the aforementioned techniques. These studies demonstrate that routine blow droplet collection from large whales is feasible. Finally, the potential exists to develop a device that could capture a portion of the exhaled air for analysis of gaseous components.

Figure 2:

Figure 2:

respiratory vapour samples (‘blow’) from large whales can be collected by a variety of pole-based or remote-controlled helicopter-based methods. This photograph shows collection of respiratory vapour (blow) droplets from a North Atlantic right whale (Eubalaena glacialis) using a nylon-fabric sampler suspended on the end of a carbon-fibre pole. (Photo: Amy Knowlton, New England Aquarium, SARA permit #325863, NMFS permit #14233.)

Blow hormones

In 2009, detectable testosterone and progesterone were reported in blow droplets collected from both humpbacks and NARWs, as assessed with liquid chromatography–mass spectrometry (Hogg et al., 2009). Although many samples did not have detectable hormones and concentrations were not quantified, hormone detectability in humpbacks correlated with the sex of the animal (Hogg et al., 2009). Cortisol has recently been reported in humpback blow as well, using ultra-high-performance liquid chromatography (Dunstan et al., 2012). More recently, immunoassay of blow samples from NARWs and belugas has detected a wide variety of steroid and thyroid hormones (Hunt et al., 2012; Thompson et al., 2013). Overall, these studies indicate that the potential is high to use blow samples for endocrine studies, although sampling methodology needs to be tested and standardized, and physiological validations remain to be done.

Blow microbiology

Blow sampling may provide a unique window into the microbiology and, potentially, the immune status of large whales. The mammalian respiratory tract typically has a diverse microflora, and because it represents a site of potential invasion by pathogens, it is under constant surveillance by the immune system using both active innate and adaptive host responses (Hooper et al., 2012). Therefore, both the microflora and the host immune response can potentially be investigated by analysis of exhaled breath samples.

Efforts to characterize the respiratory microbiome of large whales have recently begun, although studies are in the early stages. In southern resident killer whales, 56 different microbial genera, many of them antibiotic resistant, were isolated from blow droplet samples (Schroeder et al., 2009). Two mysticete species have also been studied recently using pole-based or remote-controlled helicopter sampling methods; β-haemolytic Streptococcus spp., Haemophilus spp., and Staphylococcus aureus were detected in blow of humpback whales (Acevedo-Whitehouse et al., 2010), and Staphylococcus, Pseudomonas, Bacillus, Streptococcus, and Candida spp. were isolated from blow of western North Pacific grey whales (Denisenko et al., 2012). It is unclear whether these microbial species compose part of the normal respiratory microflora of these species. Further studies involving more individuals of known health status will be needed to characterize the respiratory microbiome profiles of each species fully, to characterize normal vs. pathogenic microbial communites, and to extend the technique to other species. Individual composition variability is apparent; killer whale data suggest that the microbial community varies between individual cetaceans and geographical regions (Schroeder et al., 2009).

Blow proteomics as a measure of host immune response

Based on studies in other mammals, it is likely that cetacean blow contains a variety of inflammation- and immunity-related compounds, such as fibronectin, lysozymes, immunoglobulin G, cathelicidins, collectins, lactoferrins, and defensins (Brogden et al., 2003; Mitchell et al., 2008). In other vertebrates (mammals and birds), these compounds are involved with wound repair, inflammatory recruitment to sites of infection, and other immune responses (Ganz and Lehrer, 1998; Sugiarto and Yu, 2004). Expression profiles of these peptides, proteins, and their associated genes may reflect the physiological state of the individual. For example, stressed cattle (Bos taurus) exhibit alterations in expression of a variety of stress-response proteins (SRPs) in epithelial lining fluid (Mitchell et al., 2008). Although these compounds have not yet been investigated in cetacean blow, parallel studies of cetacean skin (see biopsy sample section) suggest that proteomic techniques developed for terrestrial mammals may be transferable to cetaceans, as long as markers are chosen appropriately (e.g. evolutionarily conserved markers).

Blow transcriptomics and gene expression

Transcriptomics is the study of all the RNA produced by a cell, tissue, or entire organism at any given time, reflecting the genes that are being expressed at that point in time. Transcriptomic techniques have been applied successfully to cetacean skin (see biopsy sample section) and may also be applicable to blow. Mitochondrial and microsatellite DNA have been isolated from cetacean blow from small odontocetes (Frere et al., 2010), and the potential exists to develop transcriptome techniques as well. This could be a valuable adjunct for assessment of respiratory and systemic immune function and status, e.g. gene expression in cells recovered from exhaled air of cetaceans. For example, characterization of peripheral white blood cell transcript profiles, a technique used successfully in another marine mammal (sea otters, Enhydra lutris; Miles et al., 2012), may be possible with whale blow.

Blow samples: advantages, disadvantages, and next steps

Blow sample analysis offers unique potential for expanding conservation physiology research of large whales, due to the ability to obtain non-invasive samples repeatedly from targeted individuals with a relatively good sampling rate, as well as the wide variety of physiologically relevant measures that appear to be present in mammalian exhaled breath (Table 1). However, blow analysis is still in its infancy, and many validation questions remain to be addressed. Sampling methodology will require detailed study, e.g. determination of the best method for droplet collection, studies of possible interference by sampling materials (e.g. various substrates used for droplet collection), further study of possible methods of acquiring gaseous samples, and addressing potential variation in biomarker content of the sample. Continued collaborations between human breath researchers and cetacean conservation biologists will be most useful.

Biopsy samples (blubber and skin)

Since the early 1990s, dart biopsying has become one of the most common collection methods for obtaining biological tissue samples from free-ranging cetaceans (Lambertsen, 1987; Mathews et al., 1988; Barrett-Lennard et al., 1996; Noren and Mocklin, 2012). These samples have traditionally provided information about diet (lipid composition and stable isotopes), pollutant exposure, and genetics (Noren and Mocklin, 2012). Increasingly, they are also being used to study the physiological states of sampled individuals, by measuring lipophilic hormones (especially steroids) in the blubber and by characterizing gene expression in the epidermis.

Biopsy sample collection methods for large whales

Dart biopsy samples are predominantly collected using either a crossbow or a pneumatic rifle with modified dart tips (Lambertsen, 1987; Mathews et al., 1988; Barrett-Lennard et al., 1996). The tips are usually hollow, thin-walled, surgical grade stainless-steel cylinders, ∼4–6 mm in diameter and 20–40 mm in length, each with a cutting lead edge and small internal barbs to retract the sample (Barrett-Lennard et al., 1996; Larsen, 1998). The core sample collected from the dart is usually 4–6 mm in diameter with varying lengths, usually between 5 and 30 mm (Fig. 3). This core sample typically consists of both of the two main cetacean skin layers, the outer skin or epidermis (often simply called ‘the skin’) and the dermis (usually called the ‘blubber layer’ or ‘blubber’), consisting largely of adipocytes (Haldiman and Tarpley, 1993; Rommel and Lowenstein, 2001). Here, we will use the terms epidermis and blubber to distinguish these two layers.

Figure 3:

Figure 3:

example of a biopsy-dart sample obtained via crossbow, showing epidermis (black tissue) and blubber (white tissue) of a sample obtained from a humpback whale. (Photo: Joanna Kershaw and Christian Ramp, Mingan Island Cetacean Study, Quebec, Canada, permit #QUE02C-2012.)

It may also be possible to collect epidermal samples in the form of sloughed skin, which is occasionally visible at the water surface after vigorous activites, such as breeching. Such samples have been collected successfully for genetic analyses (e.g. Whitehead et al., 1990; Amos et al., 1992; Valsecchi et al., 1998), but the potential of additional analyses using sloughed skin has not been rigorously explored.

Blubber hormones

Recently, a nascent but growing field of research has focused on measurement of lipophilic hormones, especially steroids, in blubber (Mansour et al., 2002; Kellar et al., 2006, 2009; Perez et al., 2011). Typically, the tissue has been processed using a multistep organic solvent extraction to isolate lipophilic hormones, and then these hormones are measured using immunoassays or chromatography separation followed by mass spectrometry. Several investigators have used immunoassay of blubber progesterone to assess pregnancy state (in several delphinids, Kellar et al., 2006; minke whale, Balaenoptera acutorostrata, Mansour et al., 2002; bottlenose dolphins, Tursiops truncatus, and long-finned pilot whales, Globicephala melas, Perez et al., 2011). These studies have shown large differences in blubber progesterone of pregnant vs. non-pregnant animals, but no measurable progesterone differences between pregnancy stages. Likewise, in short-beaked common dolphins (Delphinus delphis) during the presumed mating period, sexually mature males had substantially higher levels of blubber testosterone than immature males, with no overlap between the two groups (Kellar et al., 2009). Outside the mating period, mature males still had significantly higher testosterone than immature animals, but with more overlap between groups. Thus, blubber hormone analyses may prove to be a useful complement to faecal hormone and blow hormone analyses. Other lipophilic hormones are also likely to be measurable in blubber, including cortisol, aldosterone, and thyroid hormones (Kershaw and Flier, 2004; MacKenzie et al., 2008).

Blubber hormone analysis is still relatively novel. Next steps will involve applying the techniques to more species (particularly mysticetes), and increasing the number of lipophilic hormones validated. As with faecal and blow hormone analyses, validations for large whales will need to include a phase of physiological validations, i.e. determination of normal ranges of various hormones in different demographic groups, using populations that have a high proportion of individuals of known age, sex, and reproductive state. In addition, little is known about the temporal dynamics of hormone deposition in cetacean blubber, i.e. the possible ‘lag’ between hormone increase in blood and subsequent deposition in blubber. Likewise, there may also be lag between reduced levels in blood and clearance from blubber.

Blubber contaminants

Blubber biopsies have long been used to measure exposure to organic pollutants. Given that cetaceans are long-lived predators, they are predisposed to the accumulation of lipophilic and bioaccumulative contaminants, such as persistent organic pollutants (POPs). Persistent organic pollutants are a significant concern for cetacean health and population sustainability (Tanabe et al., 1994). Most biomonitoring efforts rely on blubber biopsies to assess contaminant exposure in wild cetacean populations, because the blubber is the primary site of accumulation for lipophilic contaminants (Tanabe et al., 1994; Weisbrod et al., 2000; Houde et al., 2005; Balmer et al., 2011; Noren and Mocklin, 2012). Extensive studies have been carried out using blubber biopsy samples to assess the contaminant burdens of a number of cetacean species and populations (Tanabe et al., 1981; Borrell, 1993; Bruhn et al., 1999; Hoekstra et al., 2002; Metcalfe et al., 2004; Tuerk et al., 2005; Krahn et al., 2007, 2008; Litz et al., 2007; McHugh et al., 2007; Pierce et al., 2008; Noël et al., 2009). Overall, males tend to have higher POP concentrations in blubber than females, because females rid themselves of some of their POP burden during lactation. Pollutant levels are positively correlated with increasing trophic level and negatively correlated with body size (Borrell, 1993). Age and sex influences on accumulation must be taken into consideration (Tuerk et al., 2005; Krahn et al., 2009). Generally, analytical procedures for contaminant studies tend to be expensive and time consuming, but the information produced has been invaluable for assessing contaminant exposure and consequent effects on reproduction, mortality, immune function, and other parameters relevant to conservation physiology.

Blubber lipid analysis

Blubber contains a variety of different fatty acids (FAs), and the types and proportions of FAs present can reveal information relevant to dietary physiology, thermal physiology, and even the age of the individual. Fatty acid profiles have been used to answer qualitative questions about spatial or temporal variation in diets between individuals or populations (Budge et al., 2006), and may be used to some extent to provide a quantitative estimate of diet from FA signatures of predator and prey (quantitative fatty acid signature analysis, QFASA; Iverson et al., 2004). Fatty acid analysis has been used to assess stock structure, trophic positions, diet, and individual age in a variety of mysticetes and odontocetes (Borobia et al., 1995; Dahl et al., 2000; Hooker et al., 2001; Olsen and Grahl-Nielsen, 2003; Herman et al., 2005, 2008, 2009; Thiemann et al., 2007; Walton et al., 2007, 2008; Budge et al., 2008; Loseto et al., 2009; Grahl-Nielsen et al., 2010; Waugh et al., 2012). One complication is that cetacean blubber is highly stratified (Koopman et al., 1996; Krahn et al., 2004; Samuel and Worthy, 2004; Smith and Worthy, 2006), and thus blubber sampling depth can affect FA-based measures. Finally, variations in FA characteristics are known to affect insulative properties of the blubber and thus can be used to study aspects of thermal physiology (pygmy sperm whales, Kogia breviceps, and short-finned pilot whales, Globicephala macrorhynchus, Bagge et al., 2012).

Epidermal diseases and microbiology

Epidermal diseases in free-ranging whales and dolphins have been studied primarily using photographic analyses (see next main section), but can also be studied via epidermal and blubber samples. Current understanding of cetacean epidermal diseases is based on samples taken from stranded and bycaught animals (Baker, 1992; Van Bressem et al., 1993; Van Bressem and Waerebeek, 1996; Smolarek Benson et al., 2006), analysed via histology and genetic analysis of samples extracted from lesions. Where possible, collection of biopsy samples from lesions of free-ranging animals would increase our knowledge of pathogens affecting cetaceans and contribute to a better understanding of the pathogenesis of epidermal lesions.

Epidermal proteomics

A unique aspect of biopsy samples, in comparison to other matrices (faeces and blow), is that biopsy samples contain large quantities of intact peptides and proteins. In terrestrial mammals, proteome-associated profiling is a useful tool to assess energetic balance, immune system function, contaminant exposure, and responses to a diverse range of environmental stressors (Silvestre et al., 2012; Veldhoen et al., 2012), and it is likely that these techniques can be adapted to cetaceans.

A large variety of identification and quantification methods are available for proteomics studies; these include liquid chromatography and two-dimensional polyacrylamide gel electrophoresis (Brewis and Brennan, 2010), tandem mass spectrometry (Dhingra et al., 2005; Brewis and Brennan, 2010), various antibody-based techniques (immunoblotting, immunosorbent assays, competitive binding assays, flow cytometry, etc.; Stoevesandt and Taussig, 2012), gel-free mass spectrometry-based methods, such as differential isotope-coded affinity tags (Stults and Arnott, 2005), and isobaric tagging for relative and absolute quantification (Christoforou and Lilley, 2012). There is, as yet, limited molecular information for many large whales, which limits applications of certain species-specific proteomics tools (Veldhoen et al., 2012). However, those proteins and peptides that appear to be highly conserved across mammals could probably be investigated in large whales with relative ease. Preliminary studies in small odontocetes over the past decade have been encouraging, and indicate that proteomics and transcriptomics may be useful for the types of physiological information outlined below.

CYP enzymes and contaminant exposure

It has long been known that the mammalian liver expresses a class of cytochrome P450 (CYP450)-dependent monoxygenases or mixed function oxidases after exposure to various hydrocarbons, xenobiotic chemicals, and pharmaceutical drugs (Liska, 1998; Sanchez et al., 2009). Post-mortem liver analyses of sperm whales (Boon et al., 2001) and belugas (Delphinapterus leucas; White et al., 1994, 2000; McKinney et al., 2004) have shown that CYP-related enzymes in liver samples are effective biomarkers of contaminant exposure. It is now known that these and related enzymes also occur in the endothelium of the dermal papillae (Bickers et al., 1984; Van Eijl et al., 2012). These enzymes have now been measured in epidermal samples from over 17 species of cetaceans, including both odontocetes and mysticetes (Fossi et al., 1992; Angell et al., 2004), and appear to be useful indices of contaminant exposure (Fossi et al., 1997, 1999, 2008, 2010; Marsili et al., 1998; Wilson et al., 2007; Montie et al., 2008; Waugh et al., 2011).

Stress-response proteins

Exposure to various stressors often causes systemic cellular stress, characterized by physical and chemical disturbances in the cellular microenvironment, including ionic, pH, and redox changes (Kültz, 2004). These changes, in turn, induce counteracting molecular stress responses, including expression of SRPs that are detectable in many tissues and organs, including the epidermis (Arck et al., 2000). The analytical approach involves assessment of molecular profiles in the epidermis that are indicative of a stress response. For example, spotted dolphins (Stenella attenuata) subjected to acute stress associated with chase and purse-seine encirclement exhibited altered SRP expression in epidermal samples, in comparison to control dolphins (Dizon et al., 2002; Southern et al., 2002). The spotted dolphin studies indicate that this method may be suitable for assessing chronic stress (e.g. rather than the acute stress associated with sampling). Additionally, the SRP analytical technique is rapid and relatively inexpensive. The SRPs used in these dolphin studies are thought to be highly conserved across mammals and are likely to be present in large whales as well. Many validations still remain to be done, including age, sex, and stressor relationships in different species, duration of the signal, possible decreased responsiveness to frequently repeated stressors (Southern et al., 2002; Kahan et al., 2009), effect of anatomical sampling location (e.g. jaw, back, and dorsal fin; Dizon et al., 2002), and the relationships between perturbed SRP profiles and long-term health (Dizon et al., 2002).

Epidermal transcriptomics and gene expression

Transcriptomics has become a widely used approach for the study of normal and diseased gene expression in human skin (Cole et al., 2001; Quan et al., 2009). Some transcriptome studies on cetacean epidermis have been conducted in vitro (Ellis et al., 2009; Mollenhauer et al., 2009), and certain genes have been identified that may be particularly useful for cetacean health assessment relevant to conservation issues (Spinsanti et al., 2006). Methods have also been published for sample collection and the development of cetacean cell lines (Marsili et al., 2000), with most studies focusing largely on assessing health, immune system function, or exposure to environmental contaminants. For example, Romano and Warr (2004) have developed genomics-based diagnostic methods for health assessment of bottlenose dolphins (Tursiops truncatus) using microarray techniques based on blood-based biomarkers related to immune response and stress. However, application of these microarrays to biopsy samples awaits an assessment of the degree to which these genes are also expressed in dermis and epidermis. Another avenue of research has concentrated on the genes involved in the vitamin D3 pathway, which are detectable in dolphin epidermis and may provide information on immune system function (Ellis et al., 2009). Various in vivo and in vitro studies of dolphins have also investigated altered gene expression profiles in response to contaminant exposure (Mollenhauer et al., 2009; Panti et al., 2011), although long-term implications for health will require further investigation (Panti et al., 2011). Finally, thyroid hormones, thyroid hormone receptors, and certain vitamin A-related measures have also been shown to be disrupted by various environmental contaminants; these measures are detectable in pinniped epidermis and have been shown to reflect contaminant exposure (Tabuchi et al., 2006; Mos et al., 2007), but have not yet been investigated in whales.

Biopsy samples: advantages, disadvantages, and next steps

In summary, biopsy samples contain a wide variety of invaluable physiological information, ranging from lipophilic hormones and contaminants to CYP-related enzymes, stress-related proteins, RNA and associated indices of gene expression, and potential information on disease states. Use of cetacean biopsy samples in such analyses has two major advantages (Table 1). First, for the last 20 years, biopsies have been routinely collected, resulting in archived collections of tens of thousands of cetacean samples (e.g. The Southwest Fisheries Science Center's Marine Mammal Research Sample Collection, La Jolla, CA, USA). Second, sampling rate is high—to date, higher than for faeces or blow collection—especially when biopsying effort is coupled with traditional line-transect surveying. Up to 75 samples have been acquired from a single species during 1 day of effort from one vessel (Chivers et al., 2010). In fact, several previous studies have resulted in over 1000 samples collected during a single survey season (e.g. Smith et al., 1999). One disadvantage of dart biopsying is that it is invasive (e.g. the skin is penetrated and a small wound created); as a result, certain demographic classes are usually unavailable for sampling due to permit restrictions (Kellar et al., 2013). Fortunately, the small wounds generated by biopsy darting appear to be minor (Noren and Mocklin, 2012), and behavioural responses are minimal (Gauthier and Sears, 1999; Clapham and Mattila, 2006).

In skin sample analyses, an additional challenge for ‘omics’ approaches is divergence in molecular structure and function between model species and marine mammals, particularly regarding comparisons with existing protein and peptide sequence databases. Genome sequences for a few marine mammal species are beginning to emerge, but coverage is still limited. One solution has been to use sequence databases from phylogenetically similar species, thereby allowing identification of highly conserved proteins. As discussed above, there has been parallel interest for developing similar techniques (proteomics, transcriptomics, and genomics) for blow and faecal samples. Overall, the time is ripe to bring the ‘omics’ to the large whales. Such new and emerging molecular approaches will benefit from interdisciplinary research collaborations involving both cetacean field biologists and researchers from other disciplines.

External appearance of the animal

Visual assessment of the external appearance of an animal is a time-honoured technique for assessing the health and nutritional status of individuals. Subjective assessment has recently been augmented by a variety of semi-quantitative and quantitative methods, which allow more rigorous assessment of changes in large whale body condition, within and between years, in the context of varying food supplies and other conservation-related stressors. The basic premise is that blubber, muscle, and visceral mass increase with nutritional status, enhancing the ability of females to conceive, suckle, and wean offspring, and also enhancing reproductive success of males, and that these changes in mass can be detected by assessment of overall body shape. Furthermore, particular visible aspects, such as skin condition, parasite load and distribution, fresh wounds, and old scars (from vessel and fishing gear interactions) can contribute additional information on health. In small marine mammals, such health assessment can be undertaken by capture and release (Wells et al., 2004), but for the large whales this is impractical, so a series of photography-based studies have been undertaken using remote observational methods.

Imaging techniques for large whales

Most imaging techniques to assess appearance have been based on photographs from planes (Fig. 4) or boats (Fig. 5). Boat-based photography produces close-up lateral views of whatever portion of the animal is above the surface of the water (typically, the dorsal surface of the animal, and often the entire tail when the animal dives). Aerial photographs are necessarily taken from a greater distance, but if obtained from a perpendicular vantage point above the animal, they provide a unique whole-body perspective that enables measurement of body length-to-width ratios, and true calibrated measurements if altitude and scale are available. Finally, infrared thermography can potentially provide additional information relevant to thermal physiology.

Figure 4:

Figure 4:

example of aerial photography. This image of an entangled, emaciated North Atlantic right whale (Eubalaena glacialis; Eg 3311) has been marked for length-to-width ratio analysis for comparison to unentangled animals, to assess likely body weight prior to dosing with sedatives for disentanglement efforts (van der Hoop et al., 2013). (Photo: Florida Fish and Wildlife Conservation Commission/NOAA, NOAA Fisheries Permit #594-1759.)

Figure 5:

Figure 5:

example of boat-based photography. These visual health-assessment photographs show three North Atlantic right whales (Eubalaena glacialis) in good (a), fair (b) and poor body condition (c). Body condition is evaluated based on the degree of convexity (good) or concavity (fair or poor) in the dorsal back profile in the post-blowhole area (white arrows). The whale in poor body condition (c) is entangled in fishing line and has other indicators of severely compromised health, including white skin lesions (ellipses) and rake marks forward of the blowholes (rectangle). (Photos a and b: New England Aquarium, SARA permit #322835; Photo c: Georgia Department of Natural Resources, NMFS permit #932-1905/MA-009526.)

Aerial photography

Initial aerial measurement of whales at sea primarily focused on measuring body length (Best and Ruther, 1992; Angliss et al., 1995). Body length is often used as a proxy for age in cetacean biology, and many age-related aspects of whale physiology are traditionally expressed in terms of body length (e.g. age of first reproduction). More recently, measurements of length in association with widths in NARWs have allowed estimates of body volume in addition to length (Miller et al., 2012; van der Hoop et al., 2013; Fig. 4), given that necropsy data suggest that widths are predictive of volume and hence mass. In that study, principal components analyses indicated that body width is most variable at 60% of the body length from the snout. Thoracic, abdominal, and caudal body width of southern right whales thinned significantly during the initial months of lactation, especially at 60% of body length from the snout, while their calves' widths and width-to-length ratios increased. Loss of body mass was also observed during lactation. Thus, body width provides a useful measure of nutritional status (Miller et al., 2012).

An integration of these body condition measures has been obtained by quantifying transitions between swimming and gliding for tagged diving whales. Miller et al. (2004) showed that sperm whales glide more when buoyancy aids progression. On the ascent, gliding begins once lung expansion overcomes the negative buoyancy of the rest of the animal. Thus, thinner whales, with less fat, will start to glide later during the ascent than fatter animals. Given that body fat can affect diving characteristics, with associated metabolic costs, measures of body condition are highly relevant to many energetic and physiological studies.

Boat-based photography

Lateral body condition assessment from a boat is only semi-quantitative, given the inability to observe the full submerged body outline, but data indicate that viewing even a portion of the animal may provide useful information on individual health. For example, boat-based photography allows a close-up view of skin condition with a level of detail that is not visible from manned aeroplanes (Hamilton and Marx, 2005). Pettis et al. (2004) developed a semi-quantitative visual health-assessment method for NARWs that uses photographs of the visible portions of the head and body (Fig. 5). This method uses a scoring system to evaluate body condition using the following parameters: dorsal blubber profile immediately posterior to the blowholes; skin condition based on the presence, severity, and extent of skin lesions and sloughing; presence and extent of visible ectoparasites (orange cyamids) around the blowholes; and presence of ‘rake marks’ (parallel lines that appear forward of the blowholes of thin animals). Comparison of body condition scores of females during calving and non-calving years indicated that females had poorer body condition in calving years, and also in the year after calving compared with the year before calving. Animals that later disappeared (e.g. presumed dead) had poorer scores than animals that were later resighted alive. Comparison of these body condition scores to blubber thicknesses measured acoustically at sea (Moore et al., 2001; Miller et al., 2011) showed that the semi-quantitative score was less sensitive to subtle differences in body condition detected by blubber thickness measurement, but was very useful for detecting major loss of condition in emaciated animals (Angell, 2005). An extension of this method used on western Pacific grey whales (Bradford et al., 2012) semi-quantified body condition in the post-cranial, scapular, and lateral flank areas, and found that body condition improved significantly as the summer progressed, although not all whales replenished their energy stores by the end of the season. Body condition varied annually, with years of significantly better and worse values. The body condition of lactating females was significantly worse than that of other whales at all times and was most often determined to be compromised.

Photographs can also reveal information on characteristic scars from previous entanglements in fishing gear, enabling analysis of entanglement rate, likelihood of entanglement in different age/sex classes, rate of wound repair and resolution, and associated mortality risks, sublethal costs, and potential short- and long-term physiological effects. Knowlton et al. (2012) analysed 30 years of entanglement data on NARWs showing that, on average, 25.9% of adequately photographed NARWs acquired new wounds or scars from fishing gear annually, and 83% of the population had been entangled at least once. Although there was no significant trend in scars over time, the annual percentage of animals observed with rope still on the body (i.e. actual rope, not a scar) increased significantly during the study period, suggesting that it is becoming more difficult for whales to free themselves completely from fishing gear. Parallel studies on entanglement scars in humpback whales suggest that entanglement is a major conservation issue in other species as well; the majority of humpback whales in the Gulf of Maine and also in northern Southeast Alaska suffer an entanglement at some point in their lives (Neilson et al., 2007; Robbins, 2011). Entanglement has been traditionally viewed as an issue of immediate mortality, but an episode of entanglement may also induce long-term physiological costs even if the whale frees itself from the fishing gear, including reduced reproduction, reduced feeding, increased drag with swimming, and increased susceptibility to disease (Knowlton and Kraus, 2001; Kot et al., 2009).

Infrared thermography

In terrestrial mammals, infrared (IR) photography or ‘thermography’ is increasingly employed for non-invasive studies of thermal physiology (McCafferty, 2007). For cetaceans, IR thermography can only assess the temperature of parts of the animal visible above the water surface, yet even this small portion of the animal can reveal interesting patterns in physiological responses to environmental changes and human stressors. In dolphins, thermal imaging of the dorsal fin has been used to study effects of human disturbance (e.g. prolonged chases, Pabst et al., 2002), as well as seasonal cycles and physiological responses to changes in water temperature (Barbieri et al., 2010). Infrared studies in large whales date back to 1992, when Cuyler et al. (1992) used IR thermography to study relationships of body trunk temperatures with ambient water temperatures in five species of baleen whales. Infrared studies of large whales since then have primarily focused on detection of whale presence (e.g. for collision avoidance at night), but lighter and more portable IR imaging systems have become available that may enable greater application of this technique for boat-based physiology studies of large whales (McCafferty, 2007).

External appearance: advantages, disadvantages, and next steps

Overall, quantitative scoring of visual appearance has proved useful for monitoring nutritional status and general health. Visual appearance in several species has been shown to correlate directly to both reproduction and presumed mortality. Compared with other methods discussed above, visual analysis is entirely non-invasive (like blow and faeces), and also has the great advantage of having by far the highest sampling rate (Table 1). Challenges include the following: relating observations of abnormal skin colouration and texture to specific pathogens or other clinical conditions; revisiting individually recognized animals sufficiently often in the wild to enable meaningful temporal series; and understanding the underlying factors that drive changes in body condition and appearance, such as interannual variation in food availability, human stressors such as background and episodic noise, fishing gear entanglement, and contaminant burden. Aerial imaging provides a desirable whole-body perspective, but has the substantial drawbacks of cost and safety issues. However, it may be possible to use remote-controlled hexacopters as a low-cost option for aerial photography that could be operated from small boats at sea (W. Perryman, personal communication, NOAA SW Fisheries Science Center, La Jolla, CA, USA). Another limitation of the aerial method is the difficulty of accurately assessing the maximal width at each point on the animal when it may be submerged in water that is variably opaque.

Next steps should amalgamate assessment of body condition in photo-identified whale populations with a better understanding of cumulative human impacts upon their rates of morbidity and mortality. For example, long-term photographic assessment of entanglement rates (e.g. Knowlton et al., 2012) could be combined with other measures, such as aerial estimates of nutritional status (Miller et al., 2012), close-up analyses of skin appearance and ectoparasite load (Pettis et al., 2004), and assessment of subsequent impacts on reproduction (both via calving rate and via endocrine approaches discussed above). Such multi-analytical approaches would be very informative about the sublethal costs of human impacts.

Summary and conclusions

In contrast to the dearth of physiological information available from large whales in the past, we now have three types of physiological samples that are fairly readily obtainable from whales (faeces, blow, and biopsy samples) as well as an increasing amount of physiological data that can be gleaned from visual assessment. All four methods are feasible to implement from a field perspective. Many, if not most, cetacean research teams already routinely take photographs and collect biopsy samples during population surveys; many teams also have considerable skill with using cantilevered poles around whales (for disentanglement, tagging, etc.) and can readily adjust this methodology to blow sampling; and faecal samples are easily scooped up opportunistically (although sampling rate is typically higher with a dedicated boat, and higher still with a trained dog). Endocrine studies can potentially take advantage of three possible sample types—faeces, blow, and blubber—with all three matrices being likely to represent different time frames for acute vs. chronic endocrine changes. Furthermore, each sample type can provide separate information on specific organ systems, e.g. blow for respiratory physiology, faeces for digestive physiology, biopsies and photographs for the integument, and biopsies for fat stores. Finally, the possibility of developing a remote blood-sampling apparatus should not be discounted; creative engineering approaches might yet devise a solution to this difficult problem.

Whatever the sample type, the value of beginning with well-studied populations of known individuals cannot be overstated. For all the techniques discussed here, assay validation and careful development using populations with known individuals has been extremely useful. Specific examples include the well-studied NARW population in the Bay of Fundy, the southern resident killer whale population of Puget Sound, and certain populations of humpbacks. We encourage researchers to take advantage of well-known, photo-identified populations when translating novel analytical methods from terrestrial species and small captive odontocetes to large free-swimming whales. When feasible, testing and validating methods with display or rehabilitated animals would also be invaluable. Once these techniques have been validated and proven in several baleen species and several odontocetes, we consider it likely that the techniques can then be applied to other populations that may not have known individuals, especially if study designs take advantage of comparison of populations before vs. after an event, or comparisons across populations exposed to different conservation pressures.

We expect that combinations of different techniques will provide useful cross-checks and cross-validations. For example, stress assessment, a common issue in conservation management, can be approached via multiple independent techniques, potentially including the following: changes in faecal, blow, and blubber glucocorticoids (bearing in mind the possibility of depression below normal, e.g. ‘adrenal insufficiency’, in cases of severe long-term stress); possible depression of thyroid hormones in cases of long-term chronic stress (particularly long-term nutritional stress); depressed reproductive hormones in long-term chronic stress (e.g. decreased androgens of adult males, and decreased progesterone and oestrogens in females); loss of body condition (as assessed from photographs); potentially decreased immune measures and increased SRPs; and so forth. Correspondence of such patterns across matrices and across techniques, and subsequent comparison to impacts on reproduction and mortality, would provide powerful evidence that the methods used can provide valid ‘early warning’ information indicating significant conservation impacts.

The study of large whale physiology is now at a stage at which a ‘critical mass’ of non-lethal assessment methods has become available. Together, faecal samples, blow samples, biopsy samples, and visual assessment methods have the potential to revolutionize our understanding of large whale reproductive cycles, stress physiology, nutritional status, host immune response, pathogen and parasite load, and more. Ultimately, these data can be used to assess how these physiological parameters are affected by the numerous conservation pressures impacting many large whale populations today. Further development of these techniques could identify which measures will be most useful as early warning indicators of potentially serious sublethal (or even lethal) impacts and which may indicate long-term chronic impacts. As a next step, conservation physiology studies of large whales will benefit greatly from cross-disciplinary approaches that include cetacean conservation researchers along with experts from other fields (e.g. endocrinology, proteomics, genomics, microbiology, and human breath research), along with further testing on well-studied populations of large whales.

Acknowledgements

This manuscript developed from valuable discussions with the organizers and participants of the United States National Marine Fisheries Service's Marine Mammal Breath Workshop, 13–14 August 2012, in La Jolla, CA, USA. We wish to thank the members of the North Atlantic Right Whale Consortium for collecting samples for right whale studies, permitting use of sightings and life history data, and for decades of dedicated research on these endangered whales. We are grateful to Heather Pettis for assistance with compilation of the visual health-assessment figures, and Jodie Treloar for manuscript assistance. This work was supported by the United States Office of Naval Research (award #N000141110435 to K.E.H., award #N000141110540 to R.M.R., and award #N0001412WX20890 to L.C.Y. and C.E.D.); the United Kingdom Natural Environmental Research Council (supporting A.J.H.); the National Center for Research Resources, a component of the United States National Institutes of Health (NIH; supporting C.E.D.); the NIH Roadmap for Medical Research (UL1 RR024146 supporting C.E.D.); The Hartwell Foundation (supporting C.E.D.) and the 2012 Marine Mammal Breath Workshop, which was funded by the National Oceanic and Atmopsheric Administration's Marine Mammal Health and Stranding Response Program. The content of this work is solely the responsibility of the authors and does not necessarily represent the official view of these agencies.

References

  • 1.Acevedo-Whitehouse K, Rocha-Gosselin A, Gendron D. (2010) A novel non-invasive tool for disease surveillance of free-ranging whales and its relevance to conservation programs. Anim Conserv 13: 217–225. [Google Scholar]
  • 2.Amann A, Corradi M, Mazzone P, Mutti A. (2011) Lung cancer biomarkers in exhaled breath. Expert Rev Mol Diagn 11: 207–217. [DOI] [PubMed] [Google Scholar]
  • 3.Amos W, Whitehead H, Ferran MJ, Glockner-Ferrari DA, Payne R, Gordon J. (1992) Restrictable DNA from sloughed cetacean skin: its potential for use in population analysis. Mar Mamm Sci 8: 275–283. [Google Scholar]
  • 4.Angell CM. (2005) Body fat condition of free-ranging right whales, Eubalaena glacialis and Eubalaena australis. PhD thesis, Boston University, Biology Department, 256 pp. [Google Scholar]
  • 5.Angell CM, Wilson JY, Moore MJ, Stegeman JJ. (2004) Cytochrome P450 1A1 expression in cetacean integument: implications for detecting contaminant exposure and effects. Mar Mamm Sci 20: 554–566. [Google Scholar]
  • 6.Angliss RP, Rugh DJ, Withrow DE, Hobbs RC. (1995) Evaluations of aerial photogrammetric length measurements of the Bering-Chukchi-Beaufort Seas stock of bowhead whales (Balaena mysticetus). Report of the International Whaling Commission, 45: 313–324. [Google Scholar]
  • 7.Arck PC, Slominski A, Theoharides TC, Peters EMJ, Paus R. (2000) Neuroimmunology of stress: skin takes center stage. J Invest Dermatol 126: 1697–1704. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Ayres KL, Booth RK, Hempelmann JA, Koski KL, Emmons CK, Baird RW, Balcomb-Bartok K, Hanson MB, Ford MJ, Wasser SK. (2012) Distinguishing the impacts of inadequate prey and vessel traffic on an endangered killer whale (Orcinus orca) population. PLoS One 7: e36842. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Bagge LE, Koopman HN, Rommel SA, McLellan WA, Pabst DA. (2012) Lipid class and depth-specific thermal properties in the blubber of the short-finned pilot whale and the pygmy sperm whale. J Exp Biol 215: 4330–4339. [DOI] [PubMed] [Google Scholar]
  • 10.Bailey MT, Dowd SE, Parry NMA, Galley JD, Schauer DB, Lyte M. (2010) Stressor exposure disrupts commensal microbial populations in the intestines and leads to increased colonization by Citrobacter rodentium. Infect Immun 78: 1509–1519. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Baker JR. (1992) Skin disease in wild cetaceans from British waters. Aquat Mamm 18: 27–32. [Google Scholar]
  • 12.Balmer BC, Schwacke LH, Wells RS, George RC, Hoguet J, Kucklick JR, Lane SM, Martinez A, McLellan WA, Rosel PE, et al. (2011) Relationship between persistent organic pollutants (POPs) and ranging patterns in common bottlenose dolphins (Tursiops truncatus) from coastal Georgia, USA. Sci Total Environ 409: 2094–2101. [DOI] [PubMed] [Google Scholar]
  • 13.Barbieri MM, McLellan WA, Wells RS, Blum JE, Hofmann S, Gannon J, Pabst DA. (2010) Using infrared thermography to assess seasonal trends in dorsal fin surface temperatures of free-swimming bottlenose dolphins (Tursiops truncatus) in Sarasota Bay, Florida. Mar Mamm Sci 26: 53–66. [Google Scholar]
  • 14.Barrett-Lennard LG, Smith TG, Ellis GM. (1996) A cetacean biopsy system using lightweight pneumatic darts, and its effect on the behavior of killer whales. Mar Mamm Sci 12: 14–27. [Google Scholar]
  • 15.Baumbach JI. (2009) Ion mobility spectrometry coupled with multi-capillary columns for metabolic profiling of human breath. J Breath Res 3: 034001. [DOI] [PubMed] [Google Scholar]
  • 16.Bean HD, Dimandja JMD, Hill JE. (2012) Bacterial volatile discovery using solid phase microextraction and comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 901: 41–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Beauchamp J, Herbig J, Gutmann R, Hansel A. (2008) On the use of Tedlar® bags for breath-gas sampling and analysis. J Breath Res 2: 046001. [DOI] [PubMed] [Google Scholar]
  • 18.Beck O, Stephanson N, Sandqvist S, Franck J. (2012) Detection of drugs of abuse in exhaled breath from users following recovery from intoxication. J Anal Toxicol 36: 638–646. [DOI] [PubMed] [Google Scholar]
  • 19.Best PB, Ruther H. (1992) Aerial photogrammetry of southern right whales, Eubalaena australis. J Zool 228: 595–614. [Google Scholar]
  • 20.Bickers DR, Mukhtar H, Dutta-Choudhury T, Marcelo CL, Voorhees JJ. (1984) Aryl hydrocarbon hydroxylase, epoxide hydrolase, and benzo[a]-pyrene metabolism in human epidermis: comparative studies in normal subjects and patients with psoriasis. J Invest Dermatol 83: 51–56. [DOI] [PubMed] [Google Scholar]
  • 21.Bojko B, Cudjoe E, Pawliszyn J, Wasowicz M. (2011) Solid-phase microextraction. How far are we from clinical practice? Trends Analyt Chem 30: 1505–1512. [Google Scholar]
  • 22.Boon JP, Lewis WE, Goksøyr A. (2001) Immunochemical and catalytic characterization of hepatic microsomal cytochrome P450 in the sperm whale (Physeter macrocephalus). Aquat Toxicol 52: 297–309. [DOI] [PubMed] [Google Scholar]
  • 23.Borobia M, Gearing PJ, Simard Y, Gearing JN, Béland P. (1995) Blubber fatty acids of finback and humpback whales from the Gulf of St. Lawrence. Mar Biol 122: 341–353. [Google Scholar]
  • 24.Borrell A. (1993) PCB and DDT in blubber of cetaceans from the northeastern north Atlantic. Mar Pollut Bull 26: 146–151. [Google Scholar]
  • 25.Bradford AL, Weller DW, Punt AE, Ivashchenko YV, Burdin AM, VanBlaricom GR, Brownell RL. (2012) Leaner leviathans: body condition variation in a critically endangered whale population. J Mammal 93: 251–266. [Google Scholar]
  • 26.Brewis IA, Brennan P. (2010) Proteomics technologies for the global identification and quantification of proteins. Adv Protein Chem Struct Biol 80: 1–44. [DOI] [PubMed] [Google Scholar]
  • 27.Brogden KA, Ackermann M, McCray PB, Tack BF. (2003) Antimicrobial peptides in animals and their role in host defences. Int J Antimicrob Agents 22: 465–478. [DOI] [PubMed] [Google Scholar]
  • 28.Brown JL, Wildt DE. (1997) Assessing reproductive status in wild felids by noninvasive faecal steroid monitoring. Int Zoo Yearb 35: 173–191. [Google Scholar]
  • 29.Bruhn R, Kannan N, Petrick G, Schulz-Bull DE, Duinker JC. (1999) Persistent chlorinated organic contaminants in harbour porpoises from the North Sea, the Baltic Sea and Arctic waters. Sci Total Environ 237–238: 351–361. [DOI] [PubMed] [Google Scholar]
  • 30.Budge SM, Iverson SJ, Koopman HN. (2006) Studying trophic ecology in marine ecosystems using fatty acids: a primer on analysis and interpretation. Mar Mamm Sci 22: 759–801. [Google Scholar]
  • 31.Budge SM, Springer AM, Iverson SJ, Sheffield G, Rosa C. (2008) Blubber fatty acid composition of bowhead whales, Balaena mysticetus: implications for diet assessment and ecosystem monitoring. J Exp Mar Bio Ecol 359: 40–46. [Google Scholar]
  • 32.Bundgaard CJ, Kalliokoski O, Abelson KS, Hau J. (2012) Acclimitization of mice to different cage types and social groupings with respect to fecal secretion of IgA and corticosterone metabolites. In Vivo 26: 883–888. [PubMed] [Google Scholar]
  • 33.Busch DS, Hayward LS. (2009) Stress in a conservation context: a discussion of glucocorticoid actions and how levels change with conservation-relevant variables. Biol Conserv 142: 2844–2853. [Google Scholar]
  • 34.Cani PD, Delzenne NM. (2007) Gut microflora as a target for energy and metabolic homeostasis. Curr Opin Clin Nutr Metab Care 10: 729–734. [DOI] [PubMed] [Google Scholar]
  • 35.Chambers ST, Scott-Thomas A, Epton M. (2012) Developments in novel breath tests for bacterial and fungal pulmonary infection. Curr Opin Pulm Med 18: 228–232. [DOI] [PubMed] [Google Scholar]
  • 36.Chivers SJ, Perryman WL, Kellar NM, Carretta JV, Archer FI, Redfern JV, Henry AE, Lynn MS, Hall C, Jackson A, et al. (2010) Ecosystem survey of Delphinus species cruise report. NOAA Technical Memorandum NMFS-SWFSC-464 to the Southwest Fisheries Science Center, National Oceanographic and Atmospheric Administration, La Jolla, CA, USA, 54 pp. [Google Scholar]
  • 37.Christoforou AL, Lilley KS. (2012) Isobaric tagging approaches in quantitative proteomics: the ups and downs. Anal Bioanal Chem 404: 1029–1037. [DOI] [PubMed] [Google Scholar]
  • 38.Clapham P, Young S, Brownell R. (1999) Baleen whales: conservation issues and the status of the most endangered populations. Mamm Rev 29: 35–60. [Google Scholar]
  • 39.Clapham PJ, Mattila D. (2006) Reactions of humpback whales to skin biopsy sampling on a West Indies breeding ground. Mar Mamm Sci 9: 382–391. [Google Scholar]
  • 40.Cole J, Tsou R, Wallace K, Gibran N, Isik F. (2001) Comparison of normal human skin gene expression using cDNA microarrays. Wound Repair Regen 9: 77–85. [DOI] [PubMed] [Google Scholar]
  • 41.Cooke SJ, O'Connor CM. (2010) Making conservation physiology relevant to policy makers and conservation practitioners. Conserv Lett 3: 159–166. [Google Scholar]
  • 42.Cuyler LC, Wiulsrød R, Øritsland NA. (1992) Thermal infrared radiation from free living whales. Mar Mamm Sci 8: 120–134. [Google Scholar]
  • 43.Cyr NE, Romano LM. (2009) Identifying hormonal habituation in field studies of stress. Gen Comp Endocrinol 161: 295–303. [DOI] [PubMed] [Google Scholar]
  • 44.Dahl TM, Lydersen C, Kovacs KM, Falk-Petersen S, Sargent J, Gjertz I, Gulliksen B. (2000) Fatty acid composition of the blubber in white whales (Delphinapterus leucas). Polar Biol 23: 401–409. [Google Scholar]
  • 45.Davidson AD, Boyer AG, Kim H, Pompa-Mansilla S, Hamilton MJ, Costa DP, Ceballos G, Brown JH. (2012) Drivers and hotspots of extinction risk in marine mammals. Proc Natl Acad Sci USA 109: 3395–3400. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Davidsson A, Schmekel B. (2010) Efficacy of two breath condensers. J Clin Lab Anal 24: 219–223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Denisenko T, Sokolova O, Vertyankin V. (2012) Microbiology investigation of blow samples of gray whale (Eschrichtius robustus) as one way of estimating the health status of a population. Galway, Ireland: 26th European Cetacean Society Conference, 275 (abstract). [Google Scholar]
  • 48.Dhingra V, Gupta M, Andacht T, Fu ZF. (2005) New frontiers in proteomics research: a perspective. Int J Pharm 299: 1–18. [DOI] [PubMed] [Google Scholar]
  • 49.Dinan TG, Cryan JF. (2012) Regulation of the stress response by the gut microbiota: implications for psychoneuroendocrinology. Psychoneuroendocrinology 37: 1369–1378. [DOI] [PubMed] [Google Scholar]
  • 50.Diskin AM, Spanel P, Smith D. (2003) Time variation of ammonia, acetone, isoprene and ethanol in breath: a quantitative SIFT-MS study over 30 days. Physiol Meas 24: 107–119. [DOI] [PubMed] [Google Scholar]
  • 51.Dizon A, Allen A, Kellar N, Southern S. (2002) Stress in spotted dolphins (Stenella attenuata) associated with purse-seine tuna fishing in the Eastern Tropical Pacific. Administrative Report LJ-02-26 to the Southwest Fisheries Science Center, National Oceanographic and Atmospheric Administration, La Jolla, CA, USA: 24 pp. [Google Scholar]
  • 52.Doney SC, Ruckelshaus M, Duffy JE, Barry JP, Chan F, English CA, Galindo HM, Grebmeier JM, Hollowed AB, Knowlton N, et al. (2011) Climate change impacts on marine ecosystems. Annu Rev Mar Sci 4: 11–37. [DOI] [PubMed] [Google Scholar]
  • 53.Doucette GJ, Mikulski CM, King KL, Roth PB, Wang Z, Leandro LF, DeGrasse SL, White KD, De Baise D, Gillett RM, et al. (2012) Endangered North Atlantic right whales (Eubalaena glacialis) experience repeated, concurrent exposure to multiple environmental neurotoxins produced by marine algae. Environ Res 112: 67–76. [DOI] [PubMed] [Google Scholar]
  • 54.Dummer J, Storer M, Swanney M, McEwan M, Scott-Thomas A, Bhandari S, Chambers S, Dweik R, Epton M. (2011) Analysis of biogenic volatile organic compounds in human health and disease. Trends Analyt Chem 30: 960–967. [Google Scholar]
  • 55.Dunstan J, Gledhell A, Hall A, Miller P, Ramp C. (2012) Quantification of the hormones progesterone and cortisol in whale breath samples using novel, non-invasive sampling and analysis with highly-sensitive ACQUITY UPLC and Xevo TQ-S. Waters Application Note: Waters Corporation, Milford, MA, USA. [Google Scholar]
  • 56.Dweik RA. (2011) The great challenge for exhaled breath analysis: embracing complexity, delivering simplicity. J Breath Res 5: 030201. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Ellis BC, Gattoni-Celli S, Mancia A, Kindy MS. (2009) The vitamin D3 transcriptomic response in skin cells derived from the Atlantic bottlenose dolphin. Dev Comp Immunol 33: 901–912. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Fossi MC, Marsili L, Leonzio C, Notarbartolo di Sciara G, Zanardelli M, Focardi S. (1992) The use of non-destructive biomarker in Mediterranean cetaceans: preliminary data on MFO activity in skin biopsy. Mar Pollut Bull 24: 459–461. [Google Scholar]
  • 59.Fossi MC, Marsili L, Junin M, Castello H, Lorenzani JA, Casini S, Savelli C, Leonzio C. (1997) Use of nondestructive biomarkers and residue analysis to assess the health status of endangered species of pinnipeds in the south-west Atlantic. Mar Pollut Bull 34: 157–162. [Google Scholar]
  • 60.Fossi MC, Casini S, Marsili L. (1999) Nondestructive biomarkers of exposure to endocrine disrupting chemicals in endangered species of wildlife. Chemosphere 39: 1273–1285. [DOI] [PubMed] [Google Scholar]
  • 61.Fossi MC, Casini S, Bucalossi D, Marsili L. (2008) First detection of CYP1A1 and CYP2B induction in Mediterranean cetacean skin biopsies and cultured fibroblasts by Western blot analysis. Mar Environ Res 66: 3–6. [DOI] [PubMed] [Google Scholar]
  • 62.Fossi MC, Urban J, Casini S, Maltese S, Casini S, Spinsanti G, Panti C, Porcelloni S, Panigada S, Lauriano G, et al. (2010) A multi-trial diagnostic tool in fin whale (Balaenoptera physalus) skin biopsies of the Pelagos Sanctuary (Mediterranean Sea) and the Gulf of California (Mexico). Mar Environ Res 69Supplement 1: S17–S20. [DOI] [PubMed] [Google Scholar]
  • 63.Fossi MC, Casini S, Caliani I, Panti C, Marsili L, Viarengo A, Giangreco R, Notabartolo di Sciara G, Serena F, Ouerghi A, et al. (2012) The role of large marine vertebrates in the assessment of the quality of pelagic marine ecosystems. Mar Environ Res 77: 156–158. [DOI] [PubMed] [Google Scholar]
  • 64.Freeman MMR. (2008) Challenges of assessing cetacean population recovery and conservation status. Endang Species Res 6: 173–184. [Google Scholar]
  • 65.Frere CH, Krzyszczyk E, Patterson EM, Hunter S, Ginsburg A, Mann J. (2010) Thar she blows! A novel method for DNA collection from cetacean blow. PLoS One 5: e12299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Fuchs P, Loeseken C, Schubert JK, Miekisch W. (2010) Breath gas aldehydes as biomarkers of lung cancer. Int J Cancer 126: 2663–2670. [DOI] [PubMed] [Google Scholar]
  • 67.Ganz T, Lehrer R. (1998) Antimicrobial peptides in vertebrates. Curr Opin Immunol 10: 41–44. [DOI] [PubMed] [Google Scholar]
  • 68.Gauthier J, Sears R. (1999) Behavioral response of four species of balaenopterid whales to biopsy sampling. Mar Mamm Sci 15: 85–101. [Google Scholar]
  • 69.Gillett RM, Frasier TR, Rolland RM, White BN. (2010) Molecular identification of individual North Atlantic right whales (Eubalaena glacialis) using free-floating feces. Mar Mamm Sci 26: 917–936. [Google Scholar]
  • 70.Goymann W. (2012) On the use of non-invasive hormone research in uncontrolled, natural environments: the problem with sex, diet, metabolic rate and the individual. Methods Ecol Evol 3: 757–765. [Google Scholar]
  • 71.Graham L, Schwarzenberger F, Möstl E, Galama W, Savage A. (2001) A versatile enzyme immunoassay for the determination of progestogens in feces and serum. Zoo Biol 20: 227–236. [Google Scholar]
  • 72.Grahl-Nielsen O, Krakstad JO, Nøttestad L, Axelsen BE. (2010) Dusky dolphins Lagenorhynchus obscurus and Cape fur seals Arctocephalus pusillus pusillus: fatty acid composition of their blubber and prey species. Afr J Mar Sci 32: 187–196. [Google Scholar]
  • 73.Grob NM, Aytekin M, Dweik RA. (2008) Biomarkers in exhaled breath condensate: a review of collection, processing and analysis. J Breath Res 2: 037004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Grotjan HE, Keel BA. (1996) Data interpretation and quality control. In EP Diamandis, TK Christopoulos, eds. Immunoassay. Academic Press, San Diego, CA, pp 51–95. [Google Scholar]
  • 75.Groves WA, Zellers ET. (1996) Investigation of organic vapor losses to condensed water vapor in Tedlar® bags used for exhaled-breath sampling. Am Ind Hyg Assoc J 57: 257–263. [DOI] [PubMed] [Google Scholar]
  • 76.Guarner F, Malagelada J-R. (2003) Gut flora in health and disease. Lancet 360: 512–519. [DOI] [PubMed] [Google Scholar]
  • 77.Haldiman J, Tarpley R. (1993) Anatomy and physiology. In Burns J, Montague J, Cowles C, eds. The Bowhead Whale. The Society for Marine Mammalogy, Lawrence, KS, pp 71–156. [Google Scholar]
  • 78.Hamilton P, Marx M. (2005) Skin lesions on North Atlantic right whales: categories, prevalence and change in occurrence in the 1990s. Dis Aquat Organ 68: 71–82. [DOI] [PubMed] [Google Scholar]
  • 79.Hanson MB, Baird RW, Ford JKB, Hempelmann-Halos J, Van Doornik DM, Candy JR, Emmons CK, Schorr GS, Gisborne B, Ayres KL. et al. (2010) Species and stock identification of prey consumed by endangered southern resident killer whales in their summer range. Endang Species Res 11: 69–82. [Google Scholar]
  • 80.Herman DP, Burrows DG, Wade PR, Durban JW, Matkin CO, LeDuc RG, Barrett-Lennard LG, Krahn MM. (2005) Feeding ecology of eastern North Pacific killer whales Orcinus orca from fatty acid, stable isotope, and organochlorine analyses of blubber biopsies. Mar Ecol Prog Ser 302: 275–291. [Google Scholar]
  • 81.Herman DP, Matkin CO, Ylitalo GM, Durban JW, Hanson MB, Dahlheim ME, Straley JM, Wade PR, Tilbury KL, Boyer RH, et al. (2008) Assessing age distributions of killer whale Orcinus orca populations from the composition of endogenous fatty acids in their outer blubber layers. Mar Ecol Prog Ser 372: 289–302. [Google Scholar]
  • 82.Herman DP, Ylitalo GM, Robbins J, Straley JM, Gabriele CM, Clapham PJ, Boyer RH, Tilbury KL, Pearce RW, Krahn MM. (2009) Age determination of humpback whales Megaptera novaeangliae through blubber fatty acid compositions of biopsy samples. Mar Ecol Prog Ser 392: 277–293. [Google Scholar]
  • 83.Hoekstra PF, O'Hara TM, Pallant SJ, Solomon KR, Muir DCG. (2002) Bioaccumulation of organochlorine contaminants in bowhead whales (Balaena mysticetus) from Barrow, Alaska. Arch Environ Contam Toxicol 42: 497–507. [DOI] [PubMed] [Google Scholar]
  • 84.Hogg CJ, Rogers TL, Shorter A, Barton K, Miller PJO, Nowacek D. (2009) Determination of steroid hormones in whale blow: it is possible. Mar Mamm Sci 25: 605–618. [Google Scholar]
  • 85.Homyack JA. (2010) Evaluating habitat quality of vertebrates using conservation physiology tools. Wildl Res 37: 332–342. [Google Scholar]
  • 86.Hooker SK, Iverson SJ, Ostrom P, Smith SC. (2001) Diet of northern bottlenose whales inferred from fatty-acid and stable-isotope analyses of biopsy samples. Can J Zool 79: 1442–1454. [Google Scholar]
  • 87.Hooper LV, Littman DR, Macpherson AJ. (2012) Interactions between the microbiota and the immune system. Science 336: 1268–1273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Horvath I, Lázár Z, Gyulai N, Kollai M, Losonczy G. (2009) Exhaled biomarkers in lung cancer. Eur Respir J 34: 261–275. [DOI] [PubMed] [Google Scholar]
  • 89.Houde M, Hoekstra PF, Solomon KR, Muir DCG. (2005) Organohalogen contaminants in delphinoid cetaceans. In GW Ware, ed. Reviews of Environmental Contamination and Toxicology, Vol. 184 Springer, New York, pp 1–57. [DOI] [PubMed] [Google Scholar]
  • 90.Hughes-Hanks JM, Rickard LG, Panuska C, Saucier JR, O'Hara TM, Dehn L, Rolland RM. (2005) Prevalence of Cryptosporidium and Giardia spp. in five marine mammal species. J Parasitol 91: 1225–1228. [DOI] [PubMed] [Google Scholar]
  • 91.Hunt KE, Wasser SK. (2003) Effect of long-term preservation methods on fecal glucocorticoid concentrations of grizzly bear and African elephant. Physiol Biochem Zool 76: 918–928. [DOI] [PubMed] [Google Scholar]
  • 92.Hunt KE, Rolland RM, Kraus SD, Wasser SK. (2006) Analysis of fecal glucocorticoids in the North Atlantic right whale (Eubalaena glacialis). Gen Comp Endocrinol 148: 260–272. [DOI] [PubMed] [Google Scholar]
  • 93.Hunt KE, Rolland R, Kraus S. (2012) Development of respiratory sampling to assess stress responses in North Atlantic right whales. Annual Report to the US Office of Naval Research, Arlington, VA. [Google Scholar]
  • 94.IUCN (2012) The IUCN Red List of Threatened Species. Version 2012.2. www.iucnredlist.org. Accessed on 1 December 2012. [Google Scholar]
  • 95.Iverson SJ, Field C, Don Bowen W, Blanchard W. (2004) Quantitative fatty acid signature analysis: a new method of estimating predator diets. Ecol Monogr 74: 211–235. [Google Scholar]
  • 96.Kahan V, Andersen ML, Tomimori J, Tufik S. (2009) Stress, immunity and skin collagen integrity: evidence from animal models and clinical conditions. Brain Behav Immun 23: 1089–1095. [DOI] [PubMed] [Google Scholar]
  • 97.Kellar NM, Trego ML, Marks CI, Dizon AE. (2006) Determining pregnancy from blubber in three species of delphinids. Mar Mamm Sci 22: 1–16. [Google Scholar]
  • 98.Kellar NM, Trego ML, Marks CI, Chivers SJ, Danil K, Archer FI. (2009) Blubber testosterone: a potential marker of male reproductive status in short-beaked common dolphins. Mar Mamm Sci 25: 507–522. [Google Scholar]
  • 99.Kellar NM, Trego ML, Chivers SJ, Archer FI, Minich JJ, Perryman WL. (2013) Are there biases in biopsy sampling? Potential drivers of sex ratio in projectile biopsy samples from two small delphinids. Mar Mamm Sci, in press. [Google Scholar]
  • 100.Kershaw EE, Flier JS. (2004) Adipose tissue as an endocrine organ. J Clin Endocrinol Metab 89: 2548–2556. [DOI] [PubMed] [Google Scholar]
  • 101.Kharitonov SA, Barnes PJ. (2002) Biomarkers of some pulmonary diseases in exhaled breath. Biomarkers 7: 1–32. [DOI] [PubMed] [Google Scholar]
  • 102.Knowlton AR, Kraus SD. (2001) Mortality and serious injury of northern right whales (Eubalaena glacialis) in the western North Atlantic ocean. J Cetacean Res Manage 2 Special Issue: 193–208. [Google Scholar]
  • 103.Knowlton AR, Hamilton PK, Marx MK, Pettis HM, Kraus SD. (2012) Monitoring North Atlantic right whale Eubalaena glacialis entanglement rates: a 30 yr retrospective. Mar Ecol Prog Ser 466: 293–302. [Google Scholar]
  • 104.Koopman HN, Iverson SJ, Gaskin DE. (1996) Stratification and age-related differences in blubber fatty acids of the male harbour porpoise (Phocoena phocoena). J Comp Physiol B 165: 628–639. [DOI] [PubMed] [Google Scholar]
  • 105.Kot BW, Ramp C, Sears R. (2009) Decreased feeding ability of a minke whale (Balaenoptera acuturostrata) with entanglement-like injuries. Mar Mamm Sci 25: 706–713. [Google Scholar]
  • 106.Krahn MM, Herman DP, Ylitalo GM, Sloan CA, Burrows DG, Hobbs RC, Mahoney BA, Yanagida GK, Calambokidis J, Moore SE. (2004) Stratification of lipids, fatty acids and organochlorine contaminants in blubber of white whales and killer whales. J Cetacean Res Manage 6: 175–189. [Google Scholar]
  • 107.Krahn MM, Hanson MB, Baird RW, Boyer RH, Burrows DG, Emmons CK, Ford JKB, Jones LL, Noren DP, Ross PS, et al. (2007) Persistent organic pollutants and stable isotopes in biopsy samples (2004/2006) from Southern Resident killer whales. Mar Pollut Bull 54: 1903–1911. [DOI] [PubMed] [Google Scholar]
  • 108.Krahn MM, Pitman RL, Burrows DG, Herman DP, Pearce RW. (2008) Use of chemical tracers to assess diet and persistent organic pollutants in Antarctic Type C killer whales. Mar Mamm Sci 24: 643–663. [Google Scholar]
  • 109.Krahn MM, Hanson MB, Schorr GS, Emmons CK, Burrows DG, Bolton JL, Baird RW, Ylitalo GM. (2009) Effects of age, sex and reproductive status on persistent organic pollutant concentrations in “Southern Resident” killer whales. Mar Pollut Bull 58: 1522–1529. [DOI] [PubMed] [Google Scholar]
  • 110.Kraus SD, Brown MB, Caswell H, Clark CW, Fujiwara M, Hamilton PK, Kenney RD, Knowlton AR, Landry S, Mayo CA, et al. (2005) North Atlantic right whales in crisis. Science 309: 561–562. [DOI] [PubMed] [Google Scholar]
  • 111.Krebs MD, Zapata AM, Nazarov EG, Miller RA, Costa IS, Sonenshein AL, Davis CE. (2005) Detection of biological and chemical agents using differential mobility spectrometry (DMS) technology. IEEE Sens J 5: 696–703. [Google Scholar]
  • 112.Kültz D. (2004) Molecular and evolutionary basis of the cellular stress response. Annu Rev Physiol 67: 225–257. [DOI] [PubMed] [Google Scholar]
  • 113.Lambertsen RH. (1987) A biopsy system for large whales and its use for cytogenetics. J Mammal 68: 443–445. [Google Scholar]
  • 114.Larsen F. (1998) Development of a biopsy system primarily for use on large cetaceans. Report SC/50/0 15 to the International Whaling Commission Scientific Committee, 7 pp. [Google Scholar]
  • 115.Lefebvre KA, Bargu S, Kieckhefer T, Silver MW. (2002) From sanddabs to blue whales: the pervasiveness of domoic acid. Toxicon 40: 971–977. [DOI] [PubMed] [Google Scholar]
  • 116.Ligor T, Ligor M, Amann A, Ager C, Bachler M, Dzien A, Buszewski B. (2008) The analysis of healthy volunteers' exhaled breath by the use of solid-phase microextraction and GC-MS. J Breath Res 2: 046006. [DOI] [PubMed] [Google Scholar]
  • 117.Lindstrom AB, Pleil JD. (2002) A review of the USEPA's single breath canister (SBC) method for exhaled volatile organic biomarkers. Biomarkers 7: 189–208. [DOI] [PubMed] [Google Scholar]
  • 118.Liska DJ. (1998) The detoxification enzyme systems. Altern Med Rev 3: 187–198. [PubMed] [Google Scholar]
  • 119.Litz JA, Garrison LP, Fieber LA, Martinez A, Contillo JP, Kucklick JR. (2007) Fine-scale spatial variation of persistent organic pollutants in bottlenose dolphins (Tursiops truncatus) in Biscayne Bay, Florida. Environ Sci Technol 41: 7222–7228. [DOI] [PubMed] [Google Scholar]
  • 120.Loseto LL, Stern GA, Connelly TL, Deibel D, Gemmill B, Prokopowicz A, Fortier L, Ferguson SH. (2009) Summer diet of beluga whales inferred by fatty acid analysis of the eastern Beaufort Sea food web. J Exp Mar Bio Ecol 374: 12–18. [Google Scholar]
  • 121.Lotze HK, Worm B. (2008) Historical baselines for large marine mammals. Trends Ecol Evol 24: 254–262. [DOI] [PubMed] [Google Scholar]
  • 122.McCafferty DJ. (2007) The value of infrared thermography for research on mammals: previous applications and future directions. Mamm Rev 37: 207–223. [Google Scholar]
  • 123.McClenachan L, Ferretti F, Baum JK. (2012) From archives to conservation: why historical data are needed to set baselines for marine animals and ecosystems. Conserv Lett 5: 349–359. [Google Scholar]
  • 124.Machado RF, Laskowski D, Deffenderfer O, Burch T, Zheng Z, Mazzone PJ, Mekhail T, Jennings C, Stoller JK, Pyle J, et al. (2005) Detection of lung cancer by sensor array analyses of exhaled breath. Am J Respir Crit Care Med 171: 1286–1291. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.McHugh B, Law RJ, Allchin CR, Rogan E, Murphy S, Foley MB, Glynn D, McGovern E. (2007) Bioaccumulation and enantiomeric profiling of organochlorine pesticides and persistent organic pollutants in the killer whale (Orcinus orca) from British and Irish waters. Mar Pollut Bull 54: 1724–1731. [DOI] [PubMed] [Google Scholar]
  • 126.MacKenzie SM, Huda SS, Sattar N, Fraser R, Connell JM, Davies E. (2008) Depot-specific steroidogenic gene transcription in human adipose tissue. Clin Endocrinol 69: 848–854. [DOI] [PubMed] [Google Scholar]
  • 127.McKinney MA, Arukwe A, De Guise S, Martineau D, Béland P, Dallaire A, Lair S, Lebeuf M, Letcher RJ. (2004) Characterization and profiling of hepatic cytochromes P450 and phase II xenobiotic-metabolizing enzymes in beluga whales (Delphinapterus leucas) from the St. Lawrence River estuary and the Canadian Arctic. Aquat Toxicol 69: 35–49. [DOI] [PubMed] [Google Scholar]
  • 128.Maniscalco M, De Laurentiis G, Pentella C, Mormile M, Sanduzzi A, Carratu P, Sofia M. (2006) Exhaled breath condensate as matrix for toluene detection: a preliminary study. Biomarkers 11: 233–240. [DOI] [PubMed] [Google Scholar]
  • 129.Mansour AAH, McKay DW, Lien J, Orr JC, Banoub JH, Oien N, Stenson G. (2002) Determination of pregnancy status from blubber samples in minke whales (Balaenoptera acutorostrata). Mar Mamm Sci 18: 112–120. [Google Scholar]
  • 130.Marsili L, Fossi MC, Notarbartolo di Sciara G, Zanardelli M, Nani B, Panigada S, Focardi S. (1998) Relationship between organochlorine contaminants and mixed function oxidase activity in skin biopsy specimens of mediterranean fin whales (Balaenoptera physalus). Chemosphere 37: 1501–1510. [DOI] [PubMed] [Google Scholar]
  • 131.Marsili L, Fossi MC, Neri G, Casini S, Gardi C, Palmeri S, Tarquini E, Panigada S. (2000) Skin biopsies for cell cultures from Mediterranean free-ranging cetaceans. Mar Environ Res 50: 523–526. [DOI] [PubMed] [Google Scholar]
  • 132.Mathews EA, Keller S, Weiner DB. (1988) A method to collect and process skin biopsies for cell-culture from free-ranging gray whales (Eschrichtius robustus). Mar Mamm Sci 4: 1–12. [Google Scholar]
  • 133.Mazzone PJ. (2008) Analysis of volatile organic compounds in the exhaled breath for the diagnosis of lung cancer. J Thorac Oncol 3: 774–780. [DOI] [PubMed] [Google Scholar]
  • 134.Mazzone PJ, Hammel J, Dweik R, Na J, Czich C, Laskowski D, Mekhail T. (2007) Diagnosis of lung cancer by the analysis of exhaled breath with a colorimetric sensor array. Thorax 62: 565–568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Metcalfe C, Koenig B, Metcalfe T, Paterson G, Sears R. (2004) Intra- and inter-species differences in persistent organic contaminants in the blubber of blue whales and humpback whales from the Gulf of St. Lawrence, Canada. Mar Environ Res 57: 245–260. [DOI] [PubMed] [Google Scholar]
  • 136.Miekisch W, Schubert JK, Noeldge-Schomburg GFE. (2004) Diagnostic potential of breath analysis—focus on volatile organic compounds. Clin Chim Acta 347: 25–39. [DOI] [PubMed] [Google Scholar]
  • 137.Mieth M, Kischkel S, Schubert JK, Hein D, Miekisch W. (2009) Multibed needle trap devices for on site sampling and preconcentration of volatile breath biomarkers. Anal Chem 81: 5851–5857. [DOI] [PubMed] [Google Scholar]
  • 138.Miles AK, Bowen L, Ballachey B, Bodkin JL, Murray M, Estes JL, Keister RA, Stott JL. (2012) Variations of transcript profiles between sea otters Enhydra lutris from Prince William Sound, Alaska, and clinically normal reference otters. Mar Ecol Prog Ser 451: 201–212. [Google Scholar]
  • 139.Miller C, Best P, Perryman W, Baumgartner M, Moore M. (2012) Body shape changes associated with reproductive status, nutritive condition and growth in right whales Eubalaena glacialis and Eubalaena australis. Mar Ecol Prog Ser 459: 135–156. [Google Scholar]
  • 140.Miller CA, Reeb D, Best PB, Knowlton AR, Brown MW, Moore MJ. (2011) Blubber thickness in right whales Eubalaena glacialis and Eubalaena australis related with reproduction, life history status and prey abundance. Mar Ecol Prog Ser 438: 267–283. [Google Scholar]
  • 141.Miller PJO, Johnson MP, Tyack PL, Terray EA. (2004) Swimming gaits, passive drag and buoyancy of diving sperm whales Physeter macrocephalus. J Exp Biol 207: 1953–1967. [DOI] [PubMed] [Google Scholar]
  • 142.Mitchell GB, Clark ME, Siwicky M, Caswell JL. (2008) Stress alters the cellular and proteomic compartments of bovine bronchoalveolar lavage fluid. Vet Immunol Immunopathol 125: 111–125. [DOI] [PubMed] [Google Scholar]
  • 143.Molina MA, Zhao W, Sankaran S, Schivo M, Kenyon NJ, Davis CE. (2008) Design-of-experiment optimization of exhaled breath condensate analysis using a miniature differential mobility spectrometer (DMS). Anal Chim Acta 628: 155–161. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Mollenhauer MAM, Carter BJ, Peden-Adams MM, Bossart GD, Fair PA. (2009) Gene expression changes in bottlenose dolphin, Tursiops truncatus, skin cells following exposure to methylmercury (MeHg) or perfluorooctane sulfonate (PFOS). Aquat Toxicol 91: 10–18. [DOI] [PubMed] [Google Scholar]
  • 145.Mondal SP, Dutta PK, Hunter GW, Ward BJ, Laskowski D, Dweik RA. (2011) Development of high sensitivity potentiometric NOx sensor and its application to breath analysis. Sens Actuators B Chem 158: 292–298. [Google Scholar]
  • 146.Montie EW, Fair PA, Bossart GD, Mitchum GB, Houde M, Muir DC, Letcher RJ, McFee WE, Starczak VR, Stegeman JJ, et al. (2008) Cytochrome P4501A1 expression, polychlorinated biphenyls and hydroxylated metabolites, and adipocyte size of bottlenose dolphins from the Southeast United States. Aquat Toxicol 86: 397–412. [DOI] [PubMed] [Google Scholar]
  • 147.Moore MJ, Miller CA, Morss MS, Arthur R, Lange WA, Prada KG, Marx MK, Frey EA. (2001) Ultrasonic measurement of blubber thickness in right whales. J Cetacean Res Manage 2 Special Issue: 301–309. [Google Scholar]
  • 148.Moore SE. (2008) Marine mammals as ecosystem sentinels. J Mammal 89: 534–540. [Google Scholar]
  • 149.Mos L, Tabuchi M, Dangerfield N, Jeffries SJ, Koop BF, Ross PS. (2007) Contaminant-associated disruption of vitamin A and its receptor (retinoic acid receptor α) in free-ranging harbour seals (Phoca vitulina). Aquat Toxicol 81: 319–328. [DOI] [PubMed] [Google Scholar]
  • 150.Möstl E, Palme R. (2002) Hormones as indicators of stress. Domest Anim Endocrinol 23: 67–74. [DOI] [PubMed] [Google Scholar]
  • 151.Neilson JL, Straley JM, Gabriele CM, Hills S. (2007) Non-lethal entanglement of humpback whales (Megaptera novaeangliae) in fishing gear in northern Southeast Alaska. J Biogeogr 36: 452–464. [Google Scholar]
  • 152.Noël M, Barrett-Lennard L, Guinet C, Dangerfield N, Ross PS. (2009) Persistent organic pollutants (POPs) in killer whales (Orcinus orca) from the Crozet Archipelago, southern Indian Ocean. Mar Environ Res 68: 196–202. [DOI] [PubMed] [Google Scholar]
  • 153.Noren DP, Mocklin JA. (2012) Review of cetacean biopsy techniques: factors contributing to successful sample collection and physiological and behavioral impacts. Mar Mamm Sci 28: 154–199. [Google Scholar]
  • 154.Olsen E, Grahl-Nielsen O. (2003) Blubber fatty acids of minke whales: stratification, population identification and relation to diet. Mar Biol 142: 13–24. [Google Scholar]
  • 155.Pabst DA, McLellan WA, Meagher EM, Westgate AJ. (2002) Measuring temperatures and heat flux from dolphins in the Eastern Tropical Pacific: is thermal stress associated with chase and capture in the ETP-tuna purse seine fishery? Final Report on the Chase Encirclement Stress Study, CIE-S04 to the US National Marine Fisheries Service, La Jolla, CA, USA 50 pp. [Google Scholar]
  • 156.Pages M, Maudet C, Bellemain E, Taberlet P, Hughes S, Hanni C. (2009) A system for sex determination from degraded DNA: a useful tool for palaeogenetics and conservation genetics of ursids. Conserv Genet 10: 897–907. [Google Scholar]
  • 157.Palme R. (2005) Measuring fecal steroids: guidelines for practical application. Ann N Y Acad Sci 1046: 75–80. [DOI] [PubMed] [Google Scholar]
  • 158.Palme R, Fischer P, Schildorfer H, Ismail MN. (1996) Excretion of infused 14C-steroid hormones via faeces and urine in domestic livestock. Anim Reprod Sci 43: 43–63. [Google Scholar]
  • 159.Palme R, Rettenbacher S, Touma C, El-Bahr SM, Möstl E. (2005) Stress hormones in mammals and birds: comparative aspects regarding metabolism, excretion, and noninvasive measurement in fecal samples. Ann N Y Acad Sci 1040: 162–171. [DOI] [PubMed] [Google Scholar]
  • 160.Panti C, Spinsanti G, Marsili L, Casini S, Frati F, Fossi M. (2011) Ecotoxicological diagnosis of striped dolphin (Stenella coeruleoalba) from the Mediterranean basin by skin biopsy and gene expression approach. Ecotoxicology 20: 1791–1800. [DOI] [PubMed] [Google Scholar]
  • 161.Perez S, Garcia-Lopez A, De Stephanis R, Gimenez J, Garcia-Tiscar S, Verborgh P, Mancera JM, Martinez-Rodriguez G. (2011) Use of blubber levels of progesterone to determine pregnancy in free-ranging live cetaceans. Mar Biol 158: 1677–1680. [Google Scholar]
  • 162.Pettis H, Rolland R, Hamilton P, Knowlton A, Kraus S, Brault S. (2004) Visual health assessment of North Atlantic right whales (Eubalaena glacialis) using photographs. Can J Zool 82: 8–19. [Google Scholar]
  • 163.Phillips M. (1997) Method for the collection and assay of volatile organic compounds in breath. Anal Biochem 247: 272–278. [DOI] [PubMed] [Google Scholar]
  • 164.Phillips M, Boehmer JP, Cataneo RN, Cheema T, Eisen HJ, Fallon JT, Fisher PE, Gass A, Greenberg J, Kobashigawa J. et al. (2004a) Heart allograft rejection: detection with breath alkanes in low levels (the HARDBALL study). J Heart Lung Transplant 23: 701–708. [DOI] [PubMed] [Google Scholar]
  • 165.Phillips M, Boehmer JP, Cataneo RN, Cheema T, Eisen HJ, Fallon JT, Fisher PE, Gass A, Greenberg J, Kobashigawa J. et al. (2004b) Prediction of heart transplant rejection with a breath test for markers of oxidative stress. Am J Cardiol 94: 1593–1594. [DOI] [PubMed] [Google Scholar]
  • 166.Phillips M, Basa-Dalay V, Bothamley G, Cataneo RN, Lam PK, Natividad MPR, Schmitt P, Wai J. (2010a) Breath biomarkers of active pulmonary tuberculosis. Tuberculosis 90: 145–151. [DOI] [PubMed] [Google Scholar]
  • 167.Phillips M, Cataneo RN, Chaturvedi A, Danaher PJ, Devadiga A, Legendre DA, Nail KL, Schmitt P, Wai J. (2010b) Effect of influenza vaccination on oxidative stress products in breath. J Breath Res 4: 026001. [DOI] [PubMed] [Google Scholar]
  • 168.Phillips M, Basa-Dalay V, Blais J, Bothamley G, Chaturvedi A, Modi KD, Pandya M, Natividad MP, Patel U, Ramraje NN, et al. (2012) Point-of-care breath test for biomarkers of active pulmonary tuberculosis. Tuberculosis 92: 314–320. [DOI] [PubMed] [Google Scholar]
  • 169.Pierce GJ, Santos MB, Murphy S, Learmonth JA, Zuur AF, Rogan E, Bustamante P, Caurant F, Lahaye V, Ridoux V, et al. (2008) Bioaccumulation of persistent organic pollutants in female common dolphins (Delphinus delphis) and harbour porpoises (Phocoena phocoena) from western European seas: geographical trends, causal factors and effects on reproduction and mortality. Environ Pollut 153: 401–415. [DOI] [PubMed] [Google Scholar]
  • 170.Pleil JD. (2008) Role of exhaled breath biomarkers in environmental health science. J Toxicol Environ Health B Crit Rev 11: 613–629. [DOI] [PubMed] [Google Scholar]
  • 171.Pompa S, Ehrlich PR, Ceballos G. (2011) Global distribution and conservation of marine mammals. Proc Natl Acad Sci USA 108: 13600–13605. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172.Quan T, Shin S, Qin Z, Fisher GJ. (2009) Expression of CCN family of genes in human skin in vivo and alterations by solar-simulated ultraviolet irradiation. J Cell Commun Signal 3: 19–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 173.Reynolds JE, Marsh H, Ragen TJ. (2009) Marine mammal conservation. Endang Species Res 7: 23–28. [Google Scholar]
  • 174.Robbins J. (2011) Scar-based inference into Gulf of Maine humpback whale entanglement: 2009. Report to the Northeast Fisheries Science Center, US National Marine Fisheries Service, Woods Hole, MA, USA: 26 pp. [Google Scholar]
  • 175.Rolland RM, Hunt KE, Kraus SD, Wasser SK. (2005) Assessing reproductive status of right whales (Eubalaena glacialis) using fecal hormone metabolites. Gen Comp Endocrinol 142: 308–317. [DOI] [PubMed] [Google Scholar]
  • 176.Rolland RM, Hamilton PK, Kraus PK, Davenport B, Gillett RM, Wasser SK. (2006) Faecal sampling using detection dogs to study reproduction and health in North Atlantic right whales (Eubalaena glacialis). J Cetacean Res Manage 8: 121–125. [Google Scholar]
  • 177.Rolland RM, Hunt KE, Doucette GJ, Rickard LG, Wasser SK. (2007) The inner whale: hormones, biotoxins and parasites. In SD Kraus, RM Rolland, eds. The Urban Whale: North Atlantic Right Whales at the Crossroads. Harvard University Press, Cambridge, MA, pp 232–272. [Google Scholar]
  • 178.Rolland RM, Parks SE, Hunt KE, Castellote M, Corkeron PJ, Nowacek DP, Wasser SK, Kraus SD. (2012) Evidence that ship noise increases stress in right whales. Proc R Soc Biol Sci 279: 2363–2368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 179.Roman J, McCarthy JJ. (2012) The whale pump: marine mammals enhance primary productivity in a coastal basin. PloS One 5: e13255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180.Romano TA, Warr GW. (2004) A functional genomics approach to understanding and evaluating health in Navy dolphins. Final Report to the Office of Naval Research (Grant N00014-02-1-0386), Arlington, VA, USA 5 pp. [Google Scholar]
  • 181.Rommel SA, Lowenstein LJ. (2001) Gross and microscopic anatomy of marine mammals. In LA Dierauf, FMD Gulland, eds. CRC Handbook of Marine Mammal Medicine. CRC Press, Boca Raton, FL, pp 129–164. [Google Scholar]
  • 182.Round JL, Mazmanian SK. (2009) The gut microbiota shapes intestinal immune responses during health and disease. Nat Rev Immunol 9: 313–323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 183.Saarinen KM, Sarnesto A, Savilahti E. (2002) Markers of inflammation in the feces of infants with cow's milk allergy. Pediatr Allergy Immunol 13: 188–194. [DOI] [PubMed] [Google Scholar]
  • 184.Samuel AM, Worthy GAJ. (2004) Variability in fatty acid composition of bottlenose dolphin (Tursiops truncatus) blubber as a function of body site, season, and reproductive state. Can J Zool 82: 1933–1942. [Google Scholar]
  • 185.Sanchez BC, Ralston-Hooper KJ, Kowalski KA, Inerowicz HD, Adamec J, Sepulveda MS. (2009) Liver proteome response of largemouth bass (Micropterus salmoides) exposed to several environmental contaminants: potential insights into biomarker development. Aquat Toxicol 95: 52–59. [DOI] [PubMed] [Google Scholar]
  • 186.Schroeder P, Raverty S, Cameron C, Zabek E, Eshghi A, Bain D, Wood B, Rhodes L, Hanson B. (2009) Investigation into the microbial culture and molecular screening of exhaled breaths of endangered southern resident killer whales (SRKW) and pathogen screening of the sea-surface microlayer (SML) in Puget Sound. Report to the Northwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, WA, USA: 8 pp. [Google Scholar]
  • 187.Schubert JK, Miekisch W, Geiger K, Noldge-Schomburg GFE. (2004) Breath analysis in critically ill patients: potential and limitations. Expert Rev Mol Diagn 4: 619–629. [DOI] [PubMed] [Google Scholar]
  • 188.Schwarzenberger F. (2007) The many uses of non-invasive faecal steroid monitoring in zoo and wildlife species. Int Zoo Yearb 41: 52–74. [Google Scholar]
  • 189.Schwarzenberger F, Möstl E, Palme R, Bamberg E. (1996a) Faecal steroid analysis for non-invasive monitoring of reproductive status in farm, wild and zoo animals. Anim Reprod Sci 42: 515–526. [Google Scholar]
  • 190.Schwarzenberger F, Son CH, Pretting R, Arbeiter K. (1996b) Use of group-specific antibodies to detect fecal progesterone metabolites during the estrous cycle of cows. Theriogenology 46: 23–32. [Google Scholar]
  • 191.Sheriff MJ, Krebs CJ, Boonstra R. (2010) Assessing stress in animal populations: do fecal and plasma glucocorticoids tell the same story? Gen Comp Endocrinol 166: 614–619. [DOI] [PubMed] [Google Scholar]
  • 192.Silvestre F, Gillardin V, Dorts J. (2012) Proteomics to assess the role of phenotypic plasticity in aquatic organisms exposed to pollution and global warming. Integr Comp Biol 52: 681–694. [DOI] [PubMed] [Google Scholar]
  • 193.Smith D, Spanel P. (2011a) Ambient analysis of trace compounds in gaseous media by SIFT-MS. Analyst 136: 2009–2032. [DOI] [PubMed] [Google Scholar]
  • 194.Smith D, Spanel P. (2011b) Direct, rapid quantitative analyses of BVOCs using SIFT-MS and PTR-MS obviating sample collection. Trends Analyt Chem 30: 945–959. [Google Scholar]
  • 195.Smith HR, Worthy GAJ. (2006) Stratification and intra- and inter-specific differences in fatty acid composition of common dolphin (Delphinus sp.) blubber: implications for dietary analysis. Comp Biochem Physiol B Biochem Mol Biol 143: 486–499. [DOI] [PubMed] [Google Scholar]
  • 196.Smith SC, Whitehead H. (2000) The diet of Galapagos sperm whales Physeter macrocephalus as indicated by fecal sample analysis. Mar Mamm Sci 16: 315–325. [Google Scholar]
  • 197.Smith TD, Allen J, Clapham PJ, Hammond PS, Katona S, Larsen F, Lien J, Mattila D, Palsbøll PJ, Sigurjónsson J, et al. (1999) An ocean-basin-wide mark-recapture study of the North Atlantic humpback whale (Megaptera novaeangliae). Mar Mamm Sci 15: 1–32. [Google Scholar]
  • 198.Smolarek Benson KA, Manire CA, Ewing RY, Saliki JT, Townsend FI, Ehlers B, Romero CH. (2006) Identification of novel alpha- and gammaherpesviruses from cutaneous and mucosal lesions of dolphins and whales. J Virol Methods 136: 261–266. [DOI] [PubMed] [Google Scholar]
  • 199.Southern S, Allen A, Kellar N. (2002) Molecular signature of physiological stress in dolphins based on protein expression profiling of skin. Administrative Report LJ-02-27 to the Southwest Fisheries Science Center, US National Marine Fisheries Service, La Jolla, CA, USA: 35 pp. [Google Scholar]
  • 200.Soyer OU, Dizdar EA, Keskin O, Lilly C, Kalayci O. (2006) Comparison of two methods for exhaled breath condensate collection. Allergy 61: 1016–1018. [DOI] [PubMed] [Google Scholar]
  • 201.Spanel P, Smith D. (2011) Progress in SIFT-MS: breath analysis and other applications. Mass Spectrom Rev 30: 236–267. [DOI] [PubMed] [Google Scholar]
  • 202.Spinsanti G, Panti C, Lazzeri E, Marsili L, Casini S, Frati F, Fossi C. (2006) Selection of reference genes for quantitative RT-PCR studies in striped dolphin (Stenella coeruleoalba) skin biopsies. BMC Mol Biol 7: 32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 203.Steeghs MML, Cristescu SM, Harren FJM. (2007) The suitability of Tedlar® bags for breath sampling in medical diagnostic research. Physiol Meas 28: 73–84. [DOI] [PubMed] [Google Scholar]
  • 204.Stoevesandt O, Taussig MJ. (2012) Affinity proteomics: the role of specific binding reagents in human proteome analysis. Expert Rev Proteomics 9: 401–414. [DOI] [PubMed] [Google Scholar]
  • 205.Stults JT, Arnott D. (2005) Proteomics. In AL Burlingame, ed. Methods in Enzymology, Vol. 402 Academic Press, New York, NY, pp 245–289. [DOI] [PubMed] [Google Scholar]
  • 206.Sugiarto H, Yu PL. (2004) Avian antimicrobial peptides: the defense role of β-defensins. Biochem Biophys Res Commun 323: 721–727. [DOI] [PubMed] [Google Scholar]
  • 207.Swaim ZT, Westgate AJ, Koopman HN, Rolland RM, Kraus SD. (2009) Metabolism of ingested lipids by North Atlantic right whales. Endang Species Res 6: 259–271. [Google Scholar]
  • 208.Tabuchi M, Veldhoen N, Dangerfield N, Jeffries SJ, Helbing CC, Ross PS. (2006) PCB-related alteration of thyroid hormones and thyroid hormone receptor gene expression in free-ranging harbor seals (Phoca vitulina). Environ Health Perspect 114: 1024–1031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 209.Tanabe S, Tatsukawa R, Tanaka H, Maruyama K, Miyazaki N, Fujiyama T. (1981) Distribution and total burdens of chlorinated hydrocarbons in bodies of striped dolphins (Stenella coeruleoalba). Agric Biol Chem 45: 2569–2578. [Google Scholar]
  • 210.Tanabe S, Iwata H, Tatsukawa R. (1994) Global contamination by persistent organochlorines and their ecotoxicological impact on marine mammals. Sci Total Environ 154: 163–177. [DOI] [PubMed] [Google Scholar]
  • 211.Thiemann GW, Iverson SJ, Stirling I. (2007) Variation in blubber fatty acid composition among marine mammals in the Canadian Arctic. Mar Mamm Sci 24: 91–111. [Google Scholar]
  • 212.Thompson LA, Spoon TR, Romano TA. (2013) Non invasive techniques for measuring stress in belugas (Delphinapterus leucas). 44th Annual Conference of the International Association for Aquatic Animal Medicine, Sausalito, CA, April 21–26. [Google Scholar]
  • 213.Touma C, Palme R. (1996) Measuring fecal glucocorticoid metabolites in mammals and birds: the importance of validation. Ann N Y Acad Sci 1046: 54–74. [DOI] [PubMed] [Google Scholar]
  • 214.Tuerk KJS, Kucklick JR, McFee WE, Pugh RS, Becker PR. (2005) Factors influencing persistent organic pollutant concentrations in the Atlantic white-sided dolphin (Lagenorhynchus acutus). Environ Toxicol Chem 24: 1079–1087. [DOI] [PubMed] [Google Scholar]
  • 215.Turner MA, Bandelow S, Edwards L, Patel P, Martin HJ, Wilson ID, Thomas CLP. (2013) The effect of a paced auditory serial addition test (PASAT) intervention on the profile of volatile organic compounds in human breath: a pilot study. J Breath Res 7: 017102. [DOI] [PubMed] [Google Scholar]
  • 216.Valentini A, Pompanon F, Taberlet P. (2009) DNA barcoding for ecologists. Trends Ecol Evol 24: 110–117. [DOI] [PubMed] [Google Scholar]
  • 217.Valsecchi E, Glockner-Ferrari D, Ferrari M, Amos W. (1998) Molecular analysis of the efficiency of sloughed skin sampling in whale population genetics. Mol Ecol 7: 1419–1422. [DOI] [PubMed] [Google Scholar]
  • 218.van Bressem M, Van Waerebeek K, Reyes J, Dekegel D, Pastoret P. (1993) Evidence of poxvirus in dusky dolphin (Lagenorhynchus obscurus) and Burmeister's porpoise (Phocoena spinipinnis) from coastal Peru. J Wildl Dis 29: 109–113. [DOI] [PubMed] [Google Scholar]
  • 219.van Bressem M-F, Waerebeek KV. (1996) Epidemiology of poxvirus in small cetaceans from the Eastern South Pacific. Mar Mamm Sci 12: 371–382. [Google Scholar]
  • 220.van der Hoop JVD, Moore M, Fahlman A, Bocconcelli A, George C, Jackson K, Miller C, Morin D, Pitchford T, Rowles T, et al. (2013) Behavioral impacts of disentanglement of a right whale under sedation and the energetic cost of entanglement. Mar Mamm Sci, in press. [Google Scholar]
  • 221.van Eijl S, Zhu Z, Cupitt J, Gierula M, Götz C, Fritsche E, Edwards RJ. (2012) Elucidation of xenobiotic metabolism pathways in human skin and human skin models by proteomic profiling. PLoS One 7: e41721. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 222.Veldhoen N, Ikonomou MG, Helbing CC. (2012) Molecular profiling of marine fauna: integration of omics with environmental assessment of the world's oceans. Ecotoxicol Environ Saf 76: 23–38. [DOI] [PubMed] [Google Scholar]
  • 223.Walton MJ, Silva MA, Magalhães SM, Prieto R, Santos RS. (2007) Using blubber biopsies to provide ecological information about bottlenose dolphins (Tursiops truncatus) around the Azores. J Mar Biol Assoc U.K. 87: 223–230. [Google Scholar]
  • 224.Walton MJ, Silva MA, Magalhães SM, Prieto R, Santos RS. (2008) Fatty acid characterization of lipid fractions from blubber biopsies of sperm whales Physeter macrocephalus located around the Azores. J Mar Biol Assoc U.K. 88: 1109–1115. [Google Scholar]
  • 225.Wasser SK, Risler L, Steiner RA. (1988) Excreted steroids in primate feces over the menstrual cycle and pregnancy. Biol Reprod 39: 862–872. [DOI] [PubMed] [Google Scholar]
  • 226.Wasser SK, Hunt KE, Brown JL, Cooper K, Crockett CM, Bechert U, Millspaugh JJ, Larson S, Monfort SL. (2000) A generalized fecal glucocorticoid assay for use in a diverse array of nondomestic mammalian and avian species. Gen Comp Endocrinol 120: 260–275. [DOI] [PubMed] [Google Scholar]
  • 227.Wasser SK, Davenport B, Ramage ER, Hunt KE, Parker M, Clarke C, Stenhouse G. (2004) Scat detection dogs in wildlife research and management: application to grizzly and black bears in the Yellowhead Ecosystem, Alberta, Canada. Can J Zool 82: 475–492. [Google Scholar]
  • 228.Wasser SK, Azkarate JC, Booth RK, Hayward L, Hunt K, Ayres K, Vynne C, Gobush K, Canales-Espinosa D, Rodriguez-Luna E. (2010) Non-invasive measurement of thyroid hormone in feces of a diverse array of avian and mammalian species. Gen Comp Endocrinol 168: 1–7. [DOI] [PubMed] [Google Scholar]
  • 229.Waugh CA, Huston WM, Noad MJ, Bengtson Nash S. (2011) Cytochrome P450 isozyme protein verified in the skin of southern hemisphere humpback whales (Megaptera novaeangliae): implications for biochemical biomarker assessment. Mar Pollut Bull 62: 758–761. [DOI] [PubMed] [Google Scholar]
  • 230.Waugh CA, Nichols PD, Noad MC, Bengtson Nash S. (2012) Lipid and fatty acid profiles of migrating Southern Hemisphere humpback whales Megaptera novaeangliae. Mar Ecol Prog Ser 471: 271–281. [Google Scholar]
  • 231.Weisbrod AV, Shea D, Moore MJ, Stegeman JJ. (2000) Organochlorine exposure and bioaccumulation in the endangered Northwest Atlantic right whale (Eubalaena glacialis) population. Environ Toxicol Chem 19: 654–666. [Google Scholar]
  • 232.Wells RS, Rhinehart HL, Hansen LJ, Sweeney JC, Townsend FI, Stone R, Casper DR, Scott MD, Hohn AA, Rowles TK. (2004) Bottlenose dolphins as marine ecosystem sentinels: developing a health monitoring system. Ecohealth 1: 246–254. [Google Scholar]
  • 233.White RD, Hahn ME, Lockhard WL, Stegeman JJ. (1994) Catalytic and immunochemical characterization of hepatic microsomal cytochromes P450 in beluga whale (Delphinapterus leucas). Toxicol Appl Pharmacol 126: 45–57. [DOI] [PubMed] [Google Scholar]
  • 234.White RD, Shea D, Schlezinger JJ, Hahn ME, Stegeman JJ. (2000) In vitro metabolism of polychlorinated biphenyl congeners by beluga whale (Delphinapterus leucas) and pilot whale (Globicephala melas) and relationship to cytochrome P450 expression. Comp Biochem Physiol 126: 267–284. [DOI] [PubMed] [Google Scholar]
  • 235.Whitehead H, Gordon J, Mathews EA, Richard KR. (1990) Obtaining skin samples from living sperm whales. Mar Mamm Sci 6: 316–326. [Google Scholar]
  • 236.Wikelski M, Cooke SJ. (2008) Conservation physiology. Trends Ecol Evol 21: 38–46. [DOI] [PubMed] [Google Scholar]
  • 237.Wilson J, Wells R, Aguilar A, Borrell A, Tornero V, Reijnders P, Moore M, Stegeman JJ. (2007) Correlates of cytochrome P450 1A1 expression in bottlenose dolphin (Tursiops truncatus) integument biopsies. Toxicol Sci 97: 111–119. [DOI] [PubMed] [Google Scholar]

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