Abstract
The measurement of bulk tissue nitrogen (δ15N) and carbon isotope values (δ13C) chronologically along biologically inert tissues sampled from offspring can provide a longitudinal record of their mothers’ foraging habits. This study tested the important assumption that mother–offspring stable isotope values are positively and linearly correlated. In addition, any change in the mother–offspring bulk tissues and individual amino acids that occurred during gestation was investigated. Whiskers sampled from southern elephant seal pups (Mirounga leonina) and temporally overlapping whiskers from their mothers were analyzed. This included n = 1895 chronologically subsampled whisker segments for bulk tissue δ15N and δ13C in total and n = 20 whisker segments for amino acid δ15N values, sampled from recently weaned pups (n = 17), juvenile southern elephant seals (SES) < 2 years old (n = 23) and adult female SES (n = 17), which included nine mother–offspring pairs. In contrast to previous studies, the mother–offspring pairs were not in isotopic equilibrium or linearly correlated during gestation: the Δ15N and Δ13C mother–offspring offsets increased by 0.8 and 1.2‰, respectively, during gestation. The foetal bulk δ15N values were 1.7 ± 0.5‰ (0.9–2.7‰) higher than mothers’ δ15N values before birth, while the foetal δ13C increased by ~1.7‰ during gestation and were 1.0 ± 0.5‰ (0.0–1.9‰) higher than their mothers’ δ13C at the end of pregnancy. The mother–offspring serine and glycine Δ15N differed by ~4.3‰, while the foetal alanine δ15N values were 1.4‰ lower than that of their mothers during the third trimester of pregnancy. The observed mother–offspring δ15N differences are likely explained by shuttling of glutamate–glutamine and glycine–serine amongst skeletal muscle, liver, placenta and foetal tissue. Foetal development relies primarily on remobilized endogenous maternal proteinaceous sources. Researchers should consider foetal physiology when using offspring bulk tissue isotope values as biomarkers for the mother’s isotopic composition as part of monitoring programmes.
Keywords: Amino acid–specific stable isotopes, intrauterine, marine mammals, mother–offspring pairs, nutrition, whiskers
Introduction
The interaction between the nutritional ecology and reproduction of organisms regulates their population dynamics (e.g. Gardner and Grafen, 2009; Bergman et al., 2019). Female fecundity often controls population growth rates (Pistorius et al., 1999; Gardner and Grafen, 2009; Birkhofer et al., 2017), and female fitness is highly correlated with diet composition (McMahon et al., 2000; Donnelly et al., 2003). However, traditional methods for dietary analyses, such as stomach lavage and scat analysis, only provide a ‘snapshot’ of the most recently ingested prey (Tollit et al., 2007, 2015; McInnes et al., 2016; Roslin and Majaneva, 2016) and are often confounded by varied retention of diagnostic prey remains and an inability to account for spatial and temporal dietary variations. Sampling approaches that can provide longitudinal dietary data are required and are especially insightful for species with complex life histories that include extensive movement between foraging and breeding grounds (Young et al., 2015; Nielsen et al., 2018). However, such approaches must consider that the capture and handling of free-ranging large animals for dietary investigations are notoriously challenging.
Indirect biochemical analyses of non-lethally sampled tissues are increasingly utilized for longitudinal, retrospective studies of animal ecology and physiology (Newsome et al., 2010; Pauli et al., 2010; Trumble et al., 2018). Specifically, the carbon (δ13C) and nitrogen (δ15N) stable isotope values of animal tissues are particularly useful for reconstructing diet composition as well as inferring broad-scale patterns in habitat use and movement (Newsome et al., 2010; Ohkouchi et al., 2017; Pagani-Núñez et al., 2017). δ13C and δ15N values of a consumers’ tissue(s) reflect its diet but are offset in a predictable fashion due to physiologically mediated processes associated with nutrient assimilation and excretion (DeNiro and Epstein, 1976). For example, isotopically heavier 15N is preferentially retained in the whole-body nitrogen pool because deamination of amino acids tends to remove 14N that is excreted via urine and faeces (DeNiro and Epstein, 1976; Post, 2002). Such diet-to-tissue isotopic offsets (Δ13Cdiet–tissue or Δ15Ndiet–tissue) are commonly called trophic discrimination factors (TDFs) and are required for the use of mixing models to quantify dietary inputs (Parnell et al., 2013).
In comparison to adults, offspring can often be handled more readily and safely (Jenkins et al., 2001) and as such are regularly targeted for isotope analysis (Pagani-Núñez et al., 2017). It is safe to assume that the tissues of offspring sampled shortly after parturition were synthesized in utero (intrauterine synthesized tissues; Lowther et al., 2013). Paired mother–offspring stable isotope values of both income and capital breeders are often assumed to be either in isotopic equilibrium or positively correlated (e.g. Jenkins et al., 2001; Table 1 and S1). As such, the isotopic composition of tissue sampled from neonates or nursing offspring are widely used to infer the diet and foraging habitats of their mothers (e.g. Table 1). Shortly after birth, the isotopic values of offspring tissues begin to equilibrate with maternal milk, resulting in increased δ15N values (~+0.3 − +3.0‰; Fogel, 1989; Newsome et al., 2006; De Luca et al., 2012). Patterns in δ13C values between nursing offspring and their mothers are more variable and can be either positive or negative depending on the lipid content of maternal milk (Table 1 and S1). Although species-specific mother–offspring isotopic discrimination can occur during both gestation and lactation (Table 1), few studies have considered if or how such discrimination changes as gestation and lactation progress (but see Stricker et al., 2015; Habran et al., 2019). Moreover, studies validating this approach relied on a single, cross-sectional sampling approach focused on offspring that were wholly dependent on maternal milk for their nutrition (Dalerum et al., 2007; Drago et al., 2010; De Luca et al., 2012; but see Hindell et al., 2012; Table S1).
Table 1. Differences between the mother–offspring bulk tissue δ15N and δ13C values measured in offspring tissue (whiskers, whole blood, serum/plasma, red blood cells, skin biopsy, hair; studies of fossilized material are excluded) of 31 mammal species in 25 studies to infer the foraging habits of their mothers during gestation and lactation.
| Breeding strategy | Period | Δ 15 N mother–offspring (‰) | Δ 13 C mother–offspring (‰) |
|---|---|---|---|
| Income breeder | Intrauterine/late gestationd,j,l | +0.8–+1.5 | +0.4–+1.1 |
| Lactationa,b,d,g,i,l,n,p,q,r | +0.8–+3.0 | −2.9–+1.2 | |
| Capital breeder | Intrauterine/late gestatione,f,h,k | +0.5–+2.0 | +0.1–+1.1 |
| Lactationa,c,f,g,h,k,m,o | +0.3–+2.6 | −1.2–+1.9 | |
| Applications | |||
| Trophic ecology reconstructionso,w | Foraging ecotypesa,c,u | Traced breast feeding or weaningl,m | Inter-colony/site variation in maternal foraging habitsb,s,t,v,e,x,y |
a Lowther and Goldsworthy, 2011; bPorras-Peters et al., 2008; cDucatez et al., 2008; dStricker et al., 2015; eHindell et al., 2012; fBorrell et al., 2016; gJenkins et al., 2001; hHabran et al., 2010; iDalerum et al., 2007; jDe Luca et al., 2012; kHabran et al., 2019; lFogel et al., 1997; mPolischuk et al., 2001; nCherel et al., 2015; oHobson et al., 2000; pElorriaga-Verplancken et al., 2016; qSare et al., 2005; rKravchenko et al., 2019; sWolf et al., 2008; tAurioles et al., 2006; uBaylis et al., 2016; vDrago et al., 2010, wLerner et al., 2018; xLowther et al., 2013; yScherer et al., 2015. See Table S1 for additional details of studies listed herein.
Foetal nutritional demands may change as gestation progresses (Lindsay et al., 2015), and therefore, the assumption that mother–offspring isotopic offsets remain constant throughout pregnancy is unlikely. However, when using continuously growing, metabolically inert keratinous tissues such as whiskers or baleen to chronologically analyze the trophic ecology of mammals, it is assumed that TDFs remain constant during the period (months to years) of tissue synthesis (Lowther and Goldsworthy, 2011; Stricker et al., 2015). To our knowledge, the only measurements available for mother–offspring whisker isotopic offsets are for whiskers of income-breeding pinnipeds, including Australian (Neophoca cinereal; Lowther and Goldsworthy, 2011) and Steller (Eumetopias jubatus; Stricker et al., 2015) sea lions. For sea lion pup whiskers grown during gestation, studies show negligible differences in Δ13C between mother and pup, but a slight and significant increase in foetus δ15N values (~0.8‰) relative to their mothers (Lowther and Goldsworthy, 2011; Stricker et al., 2015). For sea lion pup whiskers grown while nursing, mean mother–offspring Δ15N increased to ~1.6‰ (Stricker et al., 2015). The δ15N and δ13C values of blood sampled from phocid offspring, such as southern elephant seals (SES; Mirounga leonina) and northern elephant seals (M. angustirostris), have similarly been used to reconstruct the maternal trophic ecology (Ducatez et al., 2008; Habran et al., 2010, 2019). Until now, the possibility that mother–offspring isotopic offsets might change during the 7–9-month gestation period has not been investigated. Coupling isotope analysis of bulk keratin tissues and their constituent amino acids (Whiteman et al., 2019) could provide information on the maternal resource pool that supports foetal development as gestation progresses.
This study evaluates the assumption that bulk tissue δ13C and δ15N values measured along the length of phocid pup whiskers grown in utero predictably reflect the isotopic composition of their mothers (e.g. Lerner et al., 2018). Variation in δ13C and δ15N values of subsampled whiskers collected from recently weaned SES pups (~23-day-old) and juvenile SES (<2-year-old) were used to isolate the portions of the whisker grown during gestation, which was compared with similar segments of adult female whiskers to provide isotopic signatures between unpaired mother–offspring samples. Paired mother–offspring whisker samples were used to describe individual and temporal differences in the mother–offspring bulk tissue isotopic discrimination as well as patterns in the δ13C and δ15N values of individual amino acids in the whiskers. Our final objective was to assess changes in longitudinal amino acid isotopic signatures in the endogenous resource pool that supports foetal development. Few studies have analyzed concurrently synthesised tissues from both the mother and offspring (Borrell et al., 2016), and our study represents the first combined bulk tissue and amino acid isotope approach to investigate the resource pool contributing to foetal development, explore foetal amino acid metabolism and provide mechanistic explanations between mother and offspring isotope offsets in SES.
Materials and methods
Study area and whisker collection
Whiskers from recently weaned SES pups (n = 17), juveniles (n = 23) and adult female SES (>3-year-old; n = 17) were cut as close to the skin as possible. All samples were collected from individually identified SESs (flipper tags) on Marion Island (46.7731° S, 37.8525° E) in the Southern Ocean (Pistorius et al., 2011). Sampling procedures and chemical immobilization techniques used on SES are detailed in Lübcker et al., (2017) and Bester (1988).
Pup whisker growth rates
Segments of SES pup whiskers that reflected growth in utero were identified. Foetal whiskers of SES are known to be ~10 mm long at 60-day post-conception when blastocyst implantation occurs at the end of the female pelage molt (Ling, 1966). A ~12-mm whisker segment remained after the initial whisker were removed from pups <2 days after weaning during the breeding seasons of October 2009–2014. This embedded whisker segment was grown during the ~21–23-day SES lactation period (Fig. S1; Lübcker et al., 2016). Regrown ex utero whisker growth sampled from SES juveniles (n = 17) was used to identify the lactation period. These whisker ‘regrowths’ were 68.7 ± 13.8 mm long and were collected during the annual molt in January 2013 and 2014 (Lübcker et al., 2016). Isotope values of whisker regrowths and (previously unsampled) fully grown whiskers collected from juvenile SES (<2 years old; n = 6; 102.0 ± 26.8 mm long) collected after these individual SES spent a year at sea (Fig. S2) were used to confirm that no portion of the whiskers grown ex utero was included when assessing the in utero mother–offspring whisker isotopic offsets.
Identifying segments of adult female whiskers reflecting gestation
Isolating the adult SES female whisker segments reflecting gestation, and subsequently aligning these segments with the foetal (intrauterine) whisker growth, requires detailed information about the adult female whisker growth rate and history (e.g. McHuron et al., 2019). The segments of the adult female whiskers grown on land while fasting can be identified based on the chronology of both bulk tissue and amino acid δ15N values (McHuron et al., 2019; Lübcker et al., 2020). The fasting-enriched δ15N values of adult female whiskers start declining at the onset of the post-molt foraging period, which were assumed to overlap with the delayed blastocyst implantation that occurs during the molt, although the timing of blastocyst implantation can be variable (Ling, 2013; McHuron et al., 2019; Lübcker et al., 2020). The whisker segments of the same n = 17 breeding adult females that reflected gestation were contrasted to isotope values of unpaired, in utero grown pup whiskers.
The amino acid δ15N values measured in whiskers sampled from five recently weaned SES pups were compared to temporally matched amino acid δ15N values measured in the whiskers of their mothers (Lübcker et al., 2020). From these five SES mothers, we analyzed two segments per whisker that were grown during the first/second trimester of pregnancy (middle of whisker: T1/2-mother) and the third trimester (base of whisker: T3-mother; n = 10 samples; Fig. S1). The maternal amino acid δ15N values measured during T1/2 and T3 were compared to the temporally overlapping in utero grown whiskers sampled from their offspring (n = 5 pairs; detailed below).
Paired mother–offspring whisker sampling
Whiskers collected from recently weaned SES pups (n = 5) were subdivided into two segments per whisker to obtain the required sample mass (~8 mg) needed for amino acid δ15N and δ13C analysis; this sampling strategy produced 10 total samples that were categorized as either from the tip (T1/2-foetus) or base (T3-foetus) of the whisker (Fig. S1). The distal T1/2-foetus segment was grown during the first and second trimesters of pregnancy while the basal T3-foetus segment reflected the third trimester of pregnancy (Table 2). The position along the length of the maternal whiskers where the overlapping foetal whisker growth would have started was then identified (Supplementary Material). Furthermore, to ensure that the bulk tissue isotope data are temporally comparable to the amino acid δ15N data and that the maternal and foetal isotope data overlapped; the first-to-second trimester (T1/2-mother) and third-trimester (T3-mother) bulk tissue isotope data of adult females were pooled (Fig. S1). Similarly, the bulk tissue isotope data of each recently weaned SES pup that reflect the time periods represented by T1/2-foetus and T3-foetus were pooled to correspond to the time periods for which accompanying amino acid δ15N data were available (Fig. 2). Grouping data into two time points (T1/2 and T3) reduced the risk that autocorrelation influenced the statistical comparisons and that any temporal mismatching of the mother–offspring isotope data could affect our conclusions. The difference in the mother–offspring stable isotope values was reported as the mean difference (Δ15N or Δ13C) for each time point.
Table 2. Bulk tissue δ15N and δ13C values (Mean ± SD) reflecting different life-history events captured along the length of whiskers sampled for recently weaned pups, juvenile and breeding adult female southern elephant seals (Mirounga leonina), corresponding to the first-to-second trimester of gestation (T1/2) and the third trimester of pregnancy (T3).
| Age class | Sample size (number of individuals) | Period | Whisker/segment length (mm) | Number of segments (average/individual) | δ15N (‰) | δ13C (‰) |
|---|---|---|---|---|---|---|
| Recently weaned pups | 12 | Full intrauterine | 78.4 ± 8.3 | 252 (21.0 ± 6.0) | 10.2 ± 0.5 | −20.3 ± 0.7 |
| T1/2-foetus | 35.0 ± 4.2 | 110 | 10.0 ± 0.5 | −20.6 ± 0.6 | ||
| T3-foetus | 13.4 ± 5.7 | 76 | 10.5 ± 0.5 | −19.9 ± 0.6 | ||
| Juveniles | 17 | Full regrowth | 68.7 ± 13.8 | 560 (32.9 ± 6.6) | - | - |
| Intrauterine | 10.0 ± 8.2 | 77 | 10.9 ± 0.5 | −19.3 ± 0.7 | ||
| Lactation | 6.6 ± 1.4 | 73 | 11.3 ± 0.8 | −19.9 ± 0.6 | ||
| Transition | 10.3 ± 0.8 | 105 | - | - | ||
| Fasting | 20.5 ± 1.1 | 186 | 11.9 ± 0.7 | −20.2 ± 0.6 | ||
| Foraging | 13.4 ± 9.8 | 119 | 8.7 ± 0.5 | −20.2 ± 0.4 | ||
| Adult females | 17 | Full whisker | 116.4 ± 19.1 | 805 * (47.4 ± 10.0) | - | - |
| Fastinga | 21.4 ± 12.1 | 136 | - | −19.4 ± 0.9 | ||
| Fastingb | 11.5 ± 1.3 | 108 | 11.6 ± 0.8† | −19.2 ± 0.8 | ||
| Transition | 25.6 ± 1.3 | 231 | 11.2 ± 0.8† | −19.6 ± 0.9 | ||
| Gestation | 40.1 ± 19.5 | 330 | 10.0 ± 0.7† | −20.0 ± 1.1 | ||
| T1/2-mother | 35.1 ± 7.1 | 309 | 10.1 ± 0.6 | −20.1 ± 1.0 | ||
| T3-mother | 10.5 ± 6.2 | 68 | 9.6 ± 0.8 | −20.3 ± 1.2 |
*Excludes n = 16 plucked whisker segments. Mean (± SD) attributes of full whiskers are given in bold.
†Values correspond to piecewise regression of nitrogen isotope values, as reported in Lübcker et al., (2020).
- = Not applicable.
a,bBreakpoint during foraging.
Figure 2. Temporally overlapping bulk tissue δ15N (a) and δ13C (b) values measured chronologically along the length of whiskers sampled from unpaired adult female (n = 17), and intrauterine grown whiskers sampled from n = 12 recently weaned southern elephant seal pups (Mirounga leonina). The plot position (x axis) was set to zero based on the onset of the post-molt fast-associated δ15N depletion, with grey reflecting the segments of the adult female whiskers predicted to have grown on land. The solid red vertical line indicates the position along the adult female whiskers where the foetal (intrauterine) whisker growth started with the standard deviation indicated by the vertical dashed lines. The whisker segments were divided into two periods corresponding to the first-to-second trimester of gestation (T1/2) and the third trimester of pregnancy (T3) for further analyses. The blue line with grey bars represents the fitted Loess smoother (span = 0.3), while the piecewise linear regression model is indicated by black lines. Least trimmed squares robust regression models were used to illustrate the correlation of the foetal isotope values (red dashed lines).

Bulk tissue δ15N and δ13C tissue values representing SES foetal growth were compared with their mother’s isotopes during the same time period (n = 4 pairs). All paired mother–offspring samples, which included four pairs for bulk tissue analysis and five pairs for amino acid analysis, were collected during the 2015 breeding season. The logistical coordination and associated risk involved with the temporary marking of unweaned pups (De Bruyn et al., 2008) and subsequent sampling of mother–offspring pairs when the pups are weaned before the mothers return to sea, restricted our sample size of mother–offspring pairs (Stricker et al., 2015).
Bulk tissue- and amino acid stable isotope analysis
For bulk tissue isotope analysis, all whiskers were chronologically sectioned into 2.0 ± 0.4 mm sections, and surficial contaminants were removed by rinsing in a (2:1) chloroform:methanol solvent solution (Lübcker et al., 2017). A ~0.5-mg aliquot of each whisker segment was weighed into a tin capsule and measured δ13C and δ15N values using a Thermo Scientific Flash 1112 Series Elemental Analyzer (Thermo™, Thermo Fisher Scientific, Bremen, Germany) coupled to a Thermo Scientific Delta V Plus isotope ratio mass spectrometer (EA-IRMS; Thermo Finnigan, Bremen, Germany) at the Stable Isotope Laboratory at the University of Pretoria (Pretoria, South Africa). The thinner distal portion of the whiskers required larger sections to obtain the required sample mass for δ13C and δ15N analysis. Isotopic measurements were corrected to the international reference standards, Vienna Pee Dee Belemnite (VPDB) for δ13C and atmospheric air for δ15N. In each run, two internal reference materials (Merck gel and DL-alanine) were used to assess analytical precision. The results are expressed in parts per mil (‰) relative to the international standard atmospheric N2. Sample precision (SD) was ±0.3‰ for δ15N and ± 0.2‰ for δ13C.
For amino acid δ15N analysis, pup whisker segments with a mean (± SD) sample mass of 8.2 ± 2.0 mg (minimum: 5.6 mg; n = 10 samples) and adult female whisker segments with a mass of 9.9 ± 2.9 mg (n = 30 samples) were hydrolyzed in 1 ml 6 N hydrochloric acid (HCl) for 20 h at 110°C in muffled glassware. The SES whisker segment amino acids were hydrolyzed using 2-isopropanol and N-TFAA (Fantle et al., 1999). The analyses were performed using a 60 m DB-5 column (SGE Analytical Science) in a Thermo Scientific Trace 1310 gas chromatographer coupled to a Isolink II and Thermo Scientific Delta V Plus IRMS at the University of New Mexico Center for Stable Isotopes (Albuquerque, NM, USA). This method provided δ15N measurement of 13 amino acids: alanine (Ala), isoleucine (Iso), leucine (Leu), valine (Val), proline (Pro), glycine (Gly), serine (Ser), phenylalanine (Phe), lysine (Lys), tyrosine (Tyr), threonine (Thr), glutamic acid (Glu) and aspartic acid (Asp). The within-run precision (SD) for amino acid δ15N analysis for multiple injections of duplicate unknown samples averaged 0.3‰ and ranged from 0.3‰ for Lys and 0.4‰ for Ile. The precision of the stock internal stock standard consisting of pure amino acids (Sigma–Aldrich Co.) that bracketed each set of unknown samples averaged 0.6‰ and ranged from 0.4‰ for Thr and 0.8‰ for Tyr.
Statistical analyses
A piecewise linear regression model was applied to characterize isotopic variation along the length of the whisker that corresponds to specific life-history events, using the package segmented (Muggeo, 2008) in R (version 3.4.4). Breakpoints in the bulk tissue δ15N and δ13C values were estimated by visual inspection of the plotted data and the fitted Loess smoothing polynomial regression. A least trimmed squares robust regression model (ltsReg package in R) was applied to describe the correlation of maternal and foetal bulk tissue isotope data over the whisker length, respectively. A similar approach was used to characterize the correlation of the mother–offspring isotopic differences for each pair (Table S4). Lastly, linear mixed-effect models (lme4 package in R 1.1–21; Bates et al. 2015) were used to assess the influence of maternal whisker bulk isotope values on the temporally paired offspring whisker values. In these models, the stable isotope value of offspring whisker (e.g. δ15Noffspring) was predicted by the fixed effect of the corresponding value from the mother (e.g. δ15Nmother) and the random effects of period (i.e. T1/2-foetus or T3-foetus) and pairs (pair 1–4). These mixed-effect models included data from 67 paired mother–offspring whisker segments (39 from T1/2-foetus, 28 from T3-foetus). The inclusion of pairs and period as random effects accounted for non-independence of repeated measures between the mother and offspring. Where applicable, residual and data normalities were assessed using a Shapiro–Wilk test. Visual inspection of residual plots then confirmed homoscedasticity and normality. The P-values of the full model were ascertained via restricted likelihood ratio tests and calculated based on Satterthwaite’s approximations (Luke, 2017) by comparison with reduced models that excluded the random effects (e.g. Grecian et al., 2015) using the lmerTest package in R (Kuznetsova et al. 2017; version 3.1–1). Model selection was based on Akaike’s information criterion (AIC) and Bayesian Information Criterion (BIC) values (Burnham and Anderson, 2002). The proportion variance explained by the final models is expressed as marginal and conditional R2 values (R2GLMM(m) and R2GLMM(c); Nakagawa and Schielzeth, 2013). The error (residual) term (ϵ) in the models can be attributed to intra-individual variability in δ13C and δ15N (Hückstädt et al., 2012). For bulk tissue δ15N, the mean and standard deviation (SD) are reported, while the medians and associated upper and lower 95% confidence intervals are reported for the amino acid δ15N results. The mean difference between the offspring’s amino acid δ15N values and its mother’s Phe (Δ15NPup-MotherPhe) and Lys (Δ15NPup-MotherLys) δ15N value for each pair were calculated. Phe and Lys are source amino acids and their δ15N values reflect the nitrogen isotope composition of primary producers at the base of the food web (O’Connell, 2017) and therefore used to assess potential baseline isotopic variability when comparing amino acid δ15N data amongst individuals.
Results
Juvenile SES whisker bulk tissue δ15N and δ13C values
Bulk tissue δ15N values measured along the length of whiskers sampled from both recently weaned pups (Fig. 1a) and juvenile SES (Fig. 1b) increased significantly (Kruskal–Wallis χ2 = 351.75, df = 4, P < 0.001) from the onset of gestation to the end of the post-weaning fast (also see Fig. S2). The lactation-associated δ15N values (Fig. S1) of the ~12-mm whisker segment left embedded in the muzzle of recently weaned pups had significantly higher δ15N values by ~0.7‰ than pre-parturition δ15N values in the distal 12 mm of the resulting whisker regrowths Table 2; Fig. 1b). It was confirmed that the entire whisker sampled from recently weaned pups only reflects whisker growth that occurred in utero and does not include post-parturition growth influenced by nursing. δ15N values increased by ~1.0‰ during gestation as measured along the length of the whiskers sampled from n = 12 recently weaned SES pups (least-squared linear regression; y = 0.013 × + 9.6, SE = 0.4‰; df = 242; Adj. R2 = 0.32; P < 0.001; Fig. 1a).
Figure 1. Chronology of corresponding bulk tissue δ15N (a, b) and δ13C values (c, d) measured along the length of intrauterine grown whiskers sampled from recently weaned pups (a, c), and (b, d) ex utero grown whisker regrowths of n = 17 juvenile southern elephant seals (Mirounga leonina), fitted with a linear regression (black line) and a Loess smoother (SE in grey = 0.12‰, blue line). The growth starts from the onset of gestation (left) ending just before birth. The plot position (x axis) was set to zero based on the beginning of the post-weaning δ15N depletion (b, d), with light grey (far left) reflecting the intrauterine grown segment of the whiskers, followed by lactation and the post-weaning fast depicted in darker grey (right). The red vertical line indicates the start of the predicted independent foraging.

The corresponding δ13C values measured along the length of intrauterine grown whiskers sampled from recently weaned pups increased by ~1.7‰ as gestation progressed (Fig. 1c; least-squared linear regression: SE = 0.5‰; df = 244; Adj. R2 = 0.40; P < 0.001). δ13C values then declined by ~0.6‰ during lactation relative to pre-parturition values (Kruskal–Wallis χ2 = 102.86, df = 4, P < 0.001; Fig. 1d) and decreased by a further 0.3‰ during the post-weaning fast (piecewise linear regression: SE = 0.6‰; df = 554; Adj. R2 = 0.29; P < 0.001; Table S2).
Adult female whisker bulk tissue δ15N and δ13C values
The increase of the bulk whisker δ15N values of ~1.8‰ measured in the distal segments of adult female whiskers are likely associated with fasting (piecewise linear regression: SE = 0.7‰; df = 799; Adj. R2 = 0.48; P < 0.001; Fig. 2a), and coupled with the subsequent precipitous decrease of 1.4‰ over the length of their whiskers associated with the post-molt foraging trip, enabled identification of the switch from endogenous to exogenous resource use (Table 2). After this initial steep decline, δ15N values continued to decrease by on average ~1.3‰ over the length of their whiskers and reflect at sea foraging during which females are pregnant (P < 0.001; δ15N= −0.012 × + 10.6).
Bulk tissue δ13C values (Fig. 2b) for adult females differed significantly along whiskers (Kruskal–Wallis χ2 = 64.8, df = 3, P < 0.001), and observed changes were associated with life-history events (piecewise linear regression SE = 1.0‰; df = 813; Adj. R2 = 0.12; P < 0.001). δ13C values in whisker segments grown while fasting during the molt were significantly higher by ~0.8‰ in comparison to portions of the whisker grown during the post-molting foraging trip (P < 0.001; Table 2 and S2). Inter-individual variation in δ13C values (SD: 1.0–1.2‰; Table 2) occurred in the portion of the whisker grown during the post-molting foraging trip (Fig. 2b; S3–S4).
Overlapping adult female and foetal whisker bulk tissue δ15N and δ13C values
Adult female and foetal whisker growth overlap started 56.0 ± 7.0 mm from the tip of female whiskers based on whisker growth rates and the δ15N depletion associated with the onset of active foraging detected along the whiskers of 17 adult females (Fig. 2a, Supplementary Material). The slope of the increase in foetal δ15N (0.013‰/mm) was comparable to the slope of the decline in adult female δ15N (−0.012‰/mm), and on average female δ15N values declined by ~0.5‰ while foetal δ15N increased by ~0.5‰ throughout pregnancy (Fig. 2a). The pooled (unpaired) mother–offspring bulk whisker isotope data were grouped into two overlapping time points corresponding to the approach used to generate our amino acid dataset (T1/2, T3; Fig. 2a; Table 2). The bulk whisker δ15N and δ13C values differed significantly between T1/2 and T3 (δ15N: Kruskal–Wallis χ2 = 64.1, df = 3, P < 0.001; δ13C: Kruskal–Wallis χ2 = 46.3, df = 3, P < 0.001).
Paired mother–offspring bulk tissue δ15N and δ13C values
Most of the paired maternal (n = 149 whisker segments) and offspring (n = 97 whisker segments) δ15N and δ13C values were significantly negatively correlated (P < 0.001; least trimmed squares robust regression models, Table S3); the exception was δ15N values for Pair 3 (P = 0.07; Fig. 3). Excluding Pair 3, the median adjusted R2 values for the relationships between mother and foetal δ15N and δ13C values were 0.8 ± 0.1 and 0.8 ± 0.1 (± SE) respectively, indicating strong linear negative correlation as gestation progressed (Table S3). The mean bulk whisker δ15N and δ13C values of mother–offspring pairs differed significantly (Kruskal–Wallis χ2 = 46.3, df = 3, P < 0.001), except for the δ13C values of Pair 4 (P = 1.000; but see Fig. 3).
Figure 3. Bulk tissue δ15N and δ13C values measured sequentially along the length of whiskers sampled from four southern elephant seal (SES, Mirounga leonina) mother–offspring pairs. The predicted onset of the overlap between the foetal and maternal whisker growth is indicated by the vertical red line (SE ± 3.3 mm, black dashed lines). The segments of the whisker grown on land while fasting is indicated in grey. Overlapping sampled whisker growth segments T1/2 and T3 are indicated in the top left panel. The least trimmed squares robust regression models used to illustrate the correlation of the maternal and foetal isotope values, respectively (red dashed line), are detailed elsewhere (Table S2).

The mother–offspring Δ15N and Δ13C values of the overlapping 67 whisker segments during T1/2 and T3 increased on average by 0.8 and 1.2‰ respectively, from sampling period T1/2 to T3; T1/2 (Δ15Nmother–offspring: 0.9 ± 0.5‰; range: 0.0–1.7‰; T3 Δ15Nmother–offspring: 1.7 ± 0.5‰; range: 0.9–2.7‰; T1/2 Δ13Cmother–offspring: −0.2 ± 0.6‰; range: −1.6–1.1‰; T3Δ13Cmother–offspring:T31.0 ± 0.5‰; range: 0.0–1.9‰). Δ13Cmother–offspring ranged from being −1.6‰ to +1.9‰ before parturition. The least trimmed squares robust regression models describing the temporally matched mother–offspring isotopic correlations are detailed in Table S4 and were all significantly and negatively correlated, except for the Δ15Nmother–offspring values of Pair 1 (P = 0.62). Overall, the isotopic composition of mothers and offspring did not appear to be in isotopic equilibrium during gestation (Fig. 4a and b). Based on the three linear mixed-effect model used to describe the influence of the sampling period (T1/2 and T3) and individual pairs (Table S5), the model containing the random effects, pair and period, described the Δ15Nmother–offspring (χ2 = 13.07, df = 5, P < 0.001, R2GLMM(c) = 55.0) and Δ13Cmother–offspring (χ2 = 52.45, df = 5, P < 0.001, R2GLMM(c) = 92.6%) relationship the best (Table 3), which is confirmed based on the model AIC and BIC values (Table S5). For Δ13Cmother–offspring, both random effects significantly affected the model (log-likelihood ratio test; P < 0.001). For Δ15Nmother–offspring, the sample pair had a significant influence on the offspring δ15N values (P < 0.001), while the influence of the sampling period were marginal (P = 0.059). The maternal δ15N values were 0.6 ± 0.2‰ (SE; 95% CI: −0.9 – −0.2‰) lower than their offspring’s δ15N values and significantly negatively correlated (P < 0.01; Table S6). The maternal δ13C values were 0.4 ± 0.1‰ (SE; 95% CI: −0.6 – −0.2‰) lower than their offsprings’ δ13C values and were also significantly negatively correlated (P < 0.001;Table S7).
Figure 4. Correlation between maternal and foetal bulk tissue δ15N (a) and δ13C (b) values measured sequentially along the length of whiskers during the first-to-second trimester of gestation (T1/2; solid fill symbols) and third trimester of pregnancy (T3; open symbols) of four southern elephant seal (Mirounga leonina) mother–offspring pairs. The dashed black line represents a 1:1 correlation and coloured dashed line represent fitted Loess smoothers for each mother–offspring pair. Details of fitted models are provided elsewhere (Table 3 and S3–S7).

Table 3. Results of the best-fit linear mixed-effect model fit by reduced maximum likelihood (REML, model M3-δ15N/δ13C Table S5) for predicting whisker δ15N/δ13Coffspring values from their temporally overlapping mother whisker δ15N values (δ15N/δ13Cmother), with ‘period’ and ‘pair’ as random effects.
| Model | M 3 -δ 15 N | M 3 -δ 13 C | ||||
|---|---|---|---|---|---|---|
| δ15Noffspring | δ13Coffspring | |||||
| Predictors | Estimates | CI | P | Estimates | CI | P |
| (Intercept) | 15.06 | 11.62–18.50 | <0.001 | −28.50 | −33.13 – −23.87 | <0.001 |
| δ15Nmother | −0.53 | −0.91 – −0.15 | 0.007 | −0.38 | −0.60 – −0.17 | <0.001 |
| Random effects | ||||||
| σ2 | 0.08 | 0.06 | ||||
| τ00 | 0.05pairs | 0.47pairs | ||||
| 0.03period | 0.26period | |||||
| ICC | 0.49 | 0.92 | ||||
| n | 2period | 2period | ||||
| 4pairs | 4pairs | |||||
| Observations | 67 | 67 | ||||
| Marginal R2/Conditional R2 | 0.116/0.550 | 0.059/0.926 | ||||
Residual variance = σ2; random intercept variance, or ‘between-subject’ variance = τ00, intraclass-correlation coefficient = ICC; number of classes/groups = n.
Paired mother–offspring amino acid δ15N values
Apart from Ala (and to a lesser extent Val), δ15N values of trophic and source amino acids were similar between paired offspring and mothers at T1/2 and T3 (Table S8; Fig. S5). Both Gly and Ser were significantly higher in offspring relative to the median of their mothers by ~4.3‰ (Gly: Kruskal–Wallis χ2 = 14.6, df = 3, P < 0.01; Ser: Kruskal–Wallis χ2 = 13.7, df = 3, P < 0.01; Fig. 5). During T3, Ala δ15N values in offspring were 1.4‰ lower than the median of their mothers’, while Val δ15N values in offspring were 1.4‰ higher than their mothers’ median Val δ15N values.
Figure 5. Maternal phenylalanine and lysine δ15N (baseline) corrected amino acid–specific δ15N values measured during the first-to-second trimester of gestation (T1/2; open symbols) and third trimester of pregnancy (T3; closed symbols) along the length of whiskers sampled from five mother–offspring pairs. Adult females (red); intrauterine offspring whisker (blue). T/S = trophic or source amino acid. *P < 0.05.

Discussion
Contrary to the assumptions made by previous studies, temporally overlapping bulk tissue δ15N and δ13C values from paired adult SES females and their offspring, are not in isotopic equilibrium during gestation. Furthermore, offsets in both bulk nitrogen (Δ15N) and carbon (Δ13C) isotope values between mothers and their offspring changed as gestation progressed and were pair specific. The findings of studies that assumed that mother–offspring isotopic offsets remain (i) constant over time and (ii) constant between all sampled pups, or (iii) those that applied no mother–offspring isotopic corrections, should be reconsidered (Table 1 & S1). Our findings shed new light on foetal amino acid metabolism and highlight the mechanisms behind the offsets in mother–offspring bulk tissue δ15N and δ13C values observed here and elsewhere (Stricker et al., 2015; Borrell et al., 2016). Ecologists must differentiate between ecological and physiological factors that influence tissue isotope values before drawing inferences about foraging and movement ecology of animals.
Differences in mother–offspring bulk whisker δ15N and δ13C values
The δ15N and δ13C values measured in tissues sampled from offspring are an attractive proxy for the isotopic composition of their mothers because pup tissues are generally easier to collect than those from adult females (Table 1). While phocids are capital breeders, they do actively forage while pregnant and minimal isotopic differences between mother and foetus are expected, a pattern also observed in income breeders (Table 1 and S1). By extension, most studies assume that mother–offspring δ15N and δ13C values are linearly and positively correlated (Jenkins et al., 2001; Table 1), and isotopic discrimination between mother and offspring for carbon (Δ13C) is generally smaller than for nitrogen (Δ15N) (Jenkins et al., 2001; Hindell et al., 2012). It is also assumed that Δ13C and Δ15N between income or capital breeding mother–offspring pairs are constant during gestation and consistent amongst individuals (Aurioles et al., 2006; Drago et al., 2010; Hindell et al., 2012; but see Table 1). In contrast to these assumptions and findings, temporally comparable whiskers sampled from SES mothers and their foetuses differ significantly in both δ15N and δ13C composition and are not predictably correlated. In 75% of the cases, both δ15N and δ13C values of SES mothers and their pups were negatively correlated during gestation (Figs 2–3; this study). While mother–offspring Δ15N and Δ13C were generally positive during the third trimester of pregnancy (T3), the magnitude of the offset varied by several per mil amongst pairs. Importantly, SES mother–offspring discrimination changed as gestation progressed (Fig. 3) as both foetal δ15N and δ13C values increased relative to the decreasing δ15N and δ13C values of their mothers (Fig. 3), which was also observed in the larger dataset for unrelated adult females and pups (Fig. 2). In the only other study to our knowledge that measured paired tissues of phocid mother and pups, the δ15N values measured in the in utero grown whiskers of bearded seal (Erignathus barbatus) pups similarly increased consistently from the distal (oldest) to basal (most recent) sections (Hindell et al., 2012).
Foetal δ15N and δ13C values were comparable to their mothers in the first and second trimester, but mean Δ15N and Δ13C offsets between mother and pup increased to +1.7 ± 0.5 and + 1.0 ± 0.5‰, respectively during the third trimester (T3) of pregnancy (Fig. 3). Since whiskers are assumed to be in isotopic equilibrium with blood plasma (Hirons et al., 2001; Newsome et al., 2010), changes in foetal bulk whisker δ15N and δ13C values suggest possible differential isotopic discrimination and/or routing of particular amino acids occurred across the placental barrier during pregnancy. Of particular interest is that the negative correlations between pup and mother δ13C and δ15N values over the course of gestation were pair-specific and influenced by the period represented (Table 3). This likely reflects differences in the amount of endogenous (stored) maternal protein and adipose fat catabolized to support foetal development and may be related to the maternal body condition as gestation progressed (e.g. Fuller et al., 2004; De Luca et al., 2012). These biochemical mechanisms were further explored via amino acid δ15N and bulk tissue δ13C analysis.
Differences in paired mother–offspring amino acid δ15N values
Interestingly, when corrected for baseline effects by using the mother’s lysine and phenylalanine δ15N values of each mother-pup pair, most offsets in amino acid δ15N values between mothers and pups were isotopically indistinguishable. Lysine and phenylalanine are thus likely routed from the maternal plasma to the foetus with minimal isotopic alteration. Exceptions were foetal valine and leucine δ15N values, which were ~1.4 and ~0.8‰ higher than that of their mothers, respectively. Likewise, foetal serine and glycine δ15N values were >4‰ higher than that of their mothers (Fig. 5). Given the amino acid composition of α-keratin, which is primarily composed of half-cystine (13.1%), glutamic acid (11.1%), serine (10.8%) and glycine (8.6%) (Marshall et al., 1991), the combined isotopic offsets of glycine and serine can explain the majority of the observed offsets in bulk tissue δ15N values between pups and their mothers (Fig. 2). The glutamate–glutamine and glycine–serine shuttles are likely the most dominant pathways in maternal-foetal amino acid transport (Kalhan, 1998; Fig. 6) and provide a mechanistic explanation for the observed mother–offspring δ15N differences in valine, leucine, glycine, and serine.
Figure 6. Maternal, placenta and foetal amino acid transfer portraying the mechanism responsible for isotopic enriched foetal δ15N values. The isotopically light nitrogen (14N) alanine formed when alanine aminotransferase catalyzes the synthesis of alanine from pyruvate, are transferred to the foetus (glucose–alanine cycle). The pathways by which 14N are delivered to the foetus are indicated in red. Blue lines depict the glycine and serine placenta to foetal interaction (glycine–serine shuttle) while the glutamate–glutamine shuttle is indicated in green. Together with the catabolism of branched-chain amino acids (BCAA), the glutamate–glutamine shuttle delivers carbon skeletons and amino acids required for foetal development and are involved in the process of enriching the foetal δ15N values. Abbreviations explanation for amino acids can be found in the Materials and methods section.

Branched-chain amino acids (valine and leucine) are deaminated by the placenta to form glutamate, which is then transaminated to form glutamine and ultimately transferred to the foetus by the glutamate–glutamine shuttle between the mother and foetus (Fig. 6). Amine groups containing 14N are preferentially removed during deamination, resulting in 15N-enrichment of the remaining pool of branch-chained amino acids. This isotopic fractionation may explain the +1.4 and +0.8‰ increase in foetal valine and leucine δ15N values relative to maternal values during the third trimester (T3) of pregnancy. Furthermore, the abundance of glutamate/mine (Wu et al., 2015), along with the rapid rate of cycling of these two amino acids between the mother and foetus, likely eliminates any isotopic discrimination in glutamic acid δ15N values between mother and foetus (Fig. 6): note that the derivatization method used converts both glutamate and glutamine into glutamic acid (Silfer et al., 1991; Whiteman et al., 2019).
The placenta also converts maternal serine to glycine, which is actively transported across the foetal-placenta barrier along with alanine by transport System A (Narkewicz et al., 2002; Kalhan, 2016; Fig. 6). Some foetal serine is transferred back to the placenta to form the glycine–serine shuttle, while the remaining serine and glycine can be used for foetal tissue or pyruvate synthesis. The glycine–serine shuttle and demethylation of glycine by the foetal liver provide essential one-carbon units (via s-adenosylmethionine) required for nucleotide synthesis and foetal growth (Lindsay et al., 2015; Kalhan, 2016). The significantly higher (>4‰) foetal serine and glycine δ15N values relative to maternal values (Fig. 5) suggest that the amine groups containing 14N are preferentially deaminated to form pyruvate during this process, which leaves the remaining serine and glycine that are used to build foetal tissues 15N-enriched. Ammonia containing deaminated 14N is excreted from the placenta into the mother’s bloodstream (plasma), leaving the heavier isotope in the foetus. This process, akin to Rayleigh distillation, could cause the observed systematic increase in foetal tissue δ15N values over time (Fig. 6). It is possible that 14N-enriched ammonia excreted by the foetus contributes to the preservation of maternal amino acid homoeostasis (Kalhan, 1998; De Luca et al., 2012) but is more likely that this ammonia pool gets incorporated into the mother’s urea cycle and is excreted via urine. Although many of these placental dynamics have primarily been described in humans (Kalhan, 2016), we expect that they are common to all placental mammals.
Glucose–alanine cycle explains mother–offspring amino acid δ15N offsets
Foetal δ15N alanine values were depleted on average 1.4‰ relative to their mothers, possibly driven by the glucose–alanine (Cahill) cycle. When SES are in a catabolic (fasting) state associated with negative nitrogen balance (Lübcker et al., 2020), the waste nitrogen produced by amino acid catabolism in extrahepatic tissues is combined with glucose-derived carbon, yielding alanine (Felig et al., 1970). This alanine is then transferred to the liver, providing a safe means of shuttling what would otherwise be dangerous nitrogen atoms (i.e. ammonium ions). Because this waste nitrogen is expected to have relatively low δ15N values relative to the amino acid pool from which it originated, the newly synthesized alanine is likewise expected to have low δ15N values (Lübcker et al., 2020). The depleted 14N-alanine in the plasma is then incorporated in tissues that are vital to maintain but will also be transferred to the foetus by transport System A. The low foetal alanine δ15N values observed here therefore suggests that pregnant females are in an anabolic–catabolic physiological state during gestation (e.g. Fuller et al., 2004; Habran et al., 2019).
Lastly, foetal and maternal lysine and phenylalanine δ15N values were similar and remained consistent during gestation. Thus, comparison of δ15N in trophic (glutamic acid) and source (phenylalanine) amino acids could still provide an accurate estimate of trophic level assuming beta values and TDF for amino acids are known and do not appreciably vary amongst individuals (Chikaraishi et al., 2015). The increase in foetal threonine δ15N values (+1.3‰) was offset by a decrease in maternal threonine δ15N values of similar magnitude (−1.1‰). Threonine can be converted to glycine by the enzyme threonine dehydrogenase and could contribute to the maternal-to-foetal nitrogen flux (Anderson et al., 1997).
Nutritional pool supporting foetal development
While SES foetal δ13C values were similar to their mother’s at the onset of gestation, the 13C-enrichment of foetal whiskers relative to mother throughout pregnancy further confirms that foetal development is reliant on endogenous maternal protein reserves rather than maternal adipose tissue, which has significantly lower δ13C values than proteinaceous tissues by 6–8‰ (DeNiro and Epstein, 1976; Tieszen et al., 1983). Foetal development depends on the steady supply of glucose and catabolized endogenous maternal nitrogen (tissue proteins) from the onset of gestation. The maintenance of the maternal anabolic–catabolic state ensures a constant nutrient supply to the foetus, buffered from acute fluctuations in the mother’s nutritional status during gestation. This makes sense from a maternal fitness, and perhaps evolutionary, perspective given that foetal development requires a reliable and constant supply of nutrients.
Although lactate is considered to be the main gluconeogenic precursor in fasting elephant seals and influences carbon cycling (Houser and Crocker, 2004; Champagne et al., 2005; Crocker et al., 2017), the glucose–alanine cycle also contributes to the maintenance of elephant seal glucose and nitrogen homoeostasis, as described above and evident through the decrease in alanine δ15N values (Lübcker et al., 2020). The glucose-lactate (Cori) cycle and the glucose–alanine (Cahill) cycle differ from each other in the three carbon (C3) molecules used as intermediates and recycled to produce glucose (Dashty, 2013). The Cori cycle returns carbon to the liver as pyruvate (C3H4O3), whereas the glucose–alanine cycle returns carbon to the liver as alanine (C3H7NO2; Felig et al., 1969). The effects of the glucose–alanine cycle on the δ15N values of pregnant elephant seals have not been investigated. Potential alanine synthesis by the tricarboxylic acid (TCA) cycle is likely inadequate to replenish the plasma alanine concentrations (Felig et al., 1969). It would be of interest to assess if the reported de novo synthesis of amino acids (e.g. glycine, serine) in fasting elephant seals could have misrepresented the actual contribution of amino acids to their glucose cycling/amount of protein sparing (e.g. Houser and Costa, 2001).
Implications and conclusions
Our study is the first to combine bulk tissue and amino acid analysis to assess whether the isotopic composition of pup tissues can be used as proxies for their mothers’ isotopic composition during gestation. Contrary to the assumption that mother–offspring isotope values are positively and linearly correlated, whisker δ15N and δ13C values of paired, temporally overlapping mother–offspring SES were negatively correlated during gestation. It is hypothesized that the magnitude of both the nitrogen (Δ15N) and carbon (Δ13C) offset relates to foraging success and associated maternal body condition while pregnant, and caution is advised when using bulk tissue isotope values of offspring as a proxy for inferring the trophic ecology of their mothers. The observed increases in δ15N values of branched-chain amino acids (valine and leucine), glycine and serine in offspring relative to their mothers, and the concurrent depletion of offspring alanine δ15N values indicates that pregnant females are in a constant catabolic–anabolic state from at least the onset of gestation. Our findings shed new light on foetal amino acid metabolism, and the patterns in δ13C values amongst mother and foetus confirm that foetal development primarily relies on endogenous maternal proteinaceous sources throughout gestation rather than adipose tissue. Keratinous tissue (e.g. hair) sampled from human mother–offspring pairs can similarly provide longitudinal data of foetal amino acid metabolism during pregnancy, especially when isotopically labelled one-carbon metabolites are supplemented to improve DNA methylation and promote foetal development (Kalhan, 2016).
Stable isotope analysis of offspring tissue is increasingly used to infer maternal diet selection and habitat use in free-ranging animals (Table 1). If a constant offset is assumed between offspring and maternal tissue, our results indicate that researchers could erroneously conclude that females substantially shift their resource and/or habitat use. Such misrepresentation of species ecology could mislead managers and have consequences for conservation strategies. The ecological inferences made from over two dozen studies that applied bulk tissue δ15N and δ13C values measured in tissues sampled from offspring of ~30 mammal species might require reconsideration (Table 1) and potentially have serious conservation consequences. Lastly, physiological method validations that advocate minimally invasive sampling designs such as the collection of tissues from pups as proxies of their mothers’ ecology should include a description of the possible limitations of this approach that are highlighted by our study.
Supplementary Material
Acknowledgements
Fieldwork was carried out under approved permits from the Animal Ethics Committee of the University of Pretoria (AUCC 040827-022, AUCC 040827-023, EC030602-016 and EC077-15). We specially thank Prof. Dan Costa [National Marine Fisheries Service (NMFS), National Oceanic and Atmospheric Administration (NOAA) Permit number 19439] for his assistance, as well as Dr Viorel Atudorei, Dr Emma Elliot Smith, Dr Grant Hall, Nicolas Prinsloo, Michael Mole and André van Tonder and other field personnel from the Marion Island Marine Mammal Programme, University of Pretoria, South Africa. Two anonymous reviewers are thanked for their insightful comments that improved the manuscript.
Funding
This work was supported by the Society for Marine Mammalogy (SMM) Small Grant in Aid of Research, the National Research Foundation (NRF), with the logistic support of the Department of Environmental Affairs under the South African National Antarctic Program (SANAP). The conclusions drawn are attributed to the authors and not necessarily to the funders.
Data Accessibility
Data will be made available on the Dryad Digital Repository.
Authors Contributions
All authors conceived the ideas and designed methodology and enabled sample analyses. N.L., S.D.N. and J.P.W. analyzed the samples and processed the data. P.J.N.dB. maintained the fieldwork programme, facilitating access to sampling. All authors assisted with the writing of the manuscript.
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Data Availability Statement
Data will be made available on the Dryad Digital Repository.
