Abstract
Photosynthesis evolved in the oceans more than 3 billion years ago and has persisted throughout all major extinction events in Earth's history. The most recent of such events is linked to an abrupt collapse of primary production due to darkness following the Chicxulub asteroid impact 65.5 million years ago. Coastal phytoplankton groups (particularly dinoflagellates and diatoms) appear to have been resilient to this biotic crisis, but the reason for their high survival rates is still unknown. Here we show that the growth performance of dinoflagellate cells germinated from resting stages is unaffected by up to a century of dormancy. Our results clearly indicate that phytoplankton resting stages can endure periods of darkness far exceeding those estimated for the Cretaceous-Paleogene extinction and may effectively aid the rapid resurgence of primary production in coastal areas after events of prolonged photosynthesis shut-down.
Global darkness from an asteroid impact 65.5 million years ago led to massive extinction of oceanic phytoplankton, but coastal groups survived. Ribeiro et al. revive coastal dinoflagellates after a century of dormancy, suggesting phytoplankton survived the extinction and helped restore photosynthesis in the ocean.
Photosynthesis in the oceans is responsible for about half of the global carbon fixation. This life-sustaining process has been resilient to episodes of catastrophic environmental change across geological times. Understanding the means by which marine primary producers have survived major crises in the past might help predict their resilience to future changes.
The Cretaceous-Paleogene (K-Pg) mass extinction is the most recent and well-studied biotic crisis of the Phanerozoic (last ca. 500 million years), and its evolutionary consequences extend to modern biota1. Strong evidence indicates that the impact of an ∼10-km-wide asteroid on the Earth's seafloor 65.5 million years ago ejected large amounts of material into the atmosphere, blocking sunlight to levels below photosynthesis compensation, and contributing to a global collapse of terrestrial and marine food webs2,3. The impact is expected to have resulted in massive earthquakes, widespread tsunamis, acid rain, ozone destruction and wildfires4,5, but the collapse of primary productivity is generally accepted to have been a major cause of extinction6. Model calculations suggest an atmospheric blackout lasting at least 6–9 months7,8, followed by a 50% drop in solar transmission for about a decade8. Moreover, severe cooling is expected to have altered ocean stratification and circulation for several decades, resulting in highly unstable conditions8.
In the ocean, extinction rates between the major groups of primary producers were strikingly different, as evidenced by the fossil record9. Oceanic calcifying plankton (mainly coccolithophores) suffered the most drastic diversity loss ever, for example (ref. 10), resulting in a carbonate production crash that disrupted organic matter fluxes to the deep ocean for a period of up to 3–4 million years11. Much less catastrophic extinction rates were inferred from the K-Pg fossil record of coastal primary producers such as diatoms12 and dinoflagellates13,14,15. In fact, life resurgence in coastal areas appears to have been relatively rapid, possibly occurring in less than a century16.
Many modern phytoplankton species are able to combine photosynthesis with uptake of particulate food by phagocytosis, a nutritional strategy termed mixotrophy. Although mixotrophy might have been a survival advantage to some species17, it cannot solely explain the differential extinction. Phagotrophic mixotrophy is unknown in diatoms and some mixotrophic dinoflagellates have been reported to encyst when exposed to sudden darkness18. The end-Cretaceous asteroid impact is predicted to have released excessive CO2 into the atmosphere and caused nitric- and sulphuric-acid rain4,5,8. Ocean acidification might have negatively affected biocalcifying organisms and has been proposed as an important cause for the near-extermination of calcareous nannoplankton, although culturing studies have shown that coccolitophores are able to maintain intracellular calcification in calcite-undersaturated waters, and can grow at low pH values19. A few calcareous nannoplankton survivors of the K-Pg event have recently been identified and, notably, these include species with cyst-like morphologies adapted to neritic environments20. Resting stages are also common among the phytoplankton groups least affected by the K-Pg extinction (diatoms and dinoflagellates). It has, therefore, been hypothesized that this life-history trait may have provided an escape from extinction21,22.
In order for phytoplankton resting stages to have conferred a survival advantage at the K-Pg, these would have to remain viable for as long as the darkness and environmental instability lasted (up to several decades) and, more importantly, maintain the ability to resume vegetative growth at high rates after prolonged dormancy. Phytoplankton resting stages often result from sexual reproduction and are classically considered life-history traits to survive short-term and seasonal unfavourable conditions. They provide a seeding stock for new populations, aid dispersal, and are an import source of genetic novelty23. A few studies have reported survival of dinoflagellate and diatom resting stages from months to years ex situ24,25 and up to several decades when naturally preserved (buried in marine sediments)26,27,28, but the effect of long-term dormancy on the growth performance of revived cells is unknown. Dormant stages have a highly reduced metabolism relative to actively growing vegetative cells (a 60-fold reduction was reported for the dinoflagellate Scrippsiella trochoidea)29. Respiratory substrates (storage products) are used throughout the dormancy period, and resting stages also depend upon these endogenous energy reserves to germinate and become photosynthetically active29. Energy losses associated with long-term dormancy are, thus, expected to affect the growth performance of germinated cells.
We isolated phytoplankton resting stages from sediment cores retrieved from a low-oxygen sill fjord, and found these to be viable for up to 87±12 years. We cultured strains of the dinoflagellate Pentapharsodinium dalei germinated from cysts isolated from discrete sediment core layers (Fig. 1). The growth performance of the tested strains was not affected by nearly a century of dormancy. As this species belongs to a lineage well-established by the Cretaceous, and presumably little affected by the K-Pg crisis30, we argue that resting stages could effectively have contributed to the survival of phytoplankton groups possessing this life-history trait. Our findings indicate that resting stages in coastal sediments may play a significant role for the recovery of primary production after events of global photosynthesis disruption.
Results
Sediment core chronology
The age–depth model displays a linear relationship between core depth and age (Fig. 2a). Dry bulk density did not change markedly downcore (Fig. 2b), indicating relatively uniform sediment texture and compaction through time, which provides support for the reliability of the age model. The activity of unsupported 210Pb decreased exponentially with depth (Fig. 2c), and was detectable down to a sediment core depth of ∼45 cm. The 137Cs profile showed a distinct peak at a core depth of ∼10 cm that corresponds to the Chernobyl disaster of 1986 (Fig. 2d). The radionuclide profiles indicate that the core represents an undisturbed archive of sediments deposited through time, as supported by the laminations visible in the X-ray image (Fig. 2e).
Resting stage viability and germination
We were able to revive resting cysts of P. dalei naturally preserved in the fjord sediments down to a core depth of 34 cm, corresponding to year 1,922±12 (Fig. 2a). Sediments deeper than 34 cm (1,922±12) were barren in viable resting cysts. Germination experiments targeted this species, but we encountered resting stages of 28 other dinoflagellate cyst taxa with visible cell contents. Viable diatoms were found in fjord sediments down to core depths corresponding to ca. 40 years of age, the non-calcifying haptophyte Isochrysis sp. was found alive after incubation of sediments dated to ca. 25 years, and filamentous cyanobacteria germinated from sediments ca. 10 years old.
From a total of ∼450 isolated cysts, 193 Petapharsodinium dalei laboratory cultures (hereafter refereed to as strains) were established by single-cell isolation of vegetative stages germinated from individual cysts (Fig. 1). All germinations took place within the first two weeks of incubation.
Growth experiment
Strains selected for the growth experiment were revived from three discrete sediment core layers: the surface layer, dated to 2006; an intermediate layer at 21 cm depth (1,960±5); and the layer at 34 cm depth (1,922±12) (arrows in Fig. 2e). Germination frequency varied between 28% for the recent layer, 61% for the intermediate and 5% for the oldest layer, and more than 50 cysts were isolated from each layer. We randomly picked 18 strains for the growth experiment, comprising 6 strains revived from each of the three discrete layers.
Vegetative cell concentrations increased exponentially as a function of time for all the tested strains (Fig. 2f–h). Balanced growth was successfully achieved, as division rates between successive samplings were nearly constant throughout the exponential growth phase. Cell division rates differed significantly among the P. dalei strains and varied between 0.17±0.07 and 0.60±0.07 day−1 (Linear Model (LM), F=4.48, d.f.=17, 225, P<2.2×10−16) (Table 1, Fig. 2f–h). The strain with the highest cell division rate originated from the recent layer, and the slowest from the oldest layer (Table 1). Production rates, calculated as the product of division rate and cell size, also varied significantly between the strains (LM, F=264.5, d.f.=17, 11,325, P<2.2×10−16; Table 1). The lowest and highest production rates (521±31 and 2,279±36 μm3 day−1, respectively) corresponded to strains germinated from the recent layer (Table 1). Strain represented an important source of variation for the growth variables studied. When taking into account the random variation due to strain, no significant differences were found in cell division rates, cell size, and production rates between the three age depths tested (Linear Mixed Effects Model (LMEM), cell division rate χ2=0.45, d.f.=2, P=0.80; cell size χ2=5.63, d.f.=2, P=0.06; production rate χ2=1.94, d.f.=2, P=0.37; Fig. 3). Hence, growth performance was independent of cyst dormancy period.
Table 1. Summary statistics of growth performance for the Pentapharsodinium dalei strains tested.
Cyst dormancy period (years) | Strain | Division rate (day−1) | Cell size (μm3) | Production rate (μm3 day−1) |
---|---|---|---|---|
3 | 1 | 0.32 (0.06) | 2,121 (228) | 678 (33) |
2 | 0.28 (0.06) | 3,140 (229) | 888 (33) | |
3 | 0.20 (0.06) | 2,813(229) | 553 (33) | |
4 | 0.22 (0.06) | 2,390 (229) | 521 (31) | |
5 | 0.60 (0.07) | 3,760 (229) | 2,279 (36) | |
6 | 0.42 (0.06) | 2,786 (229) | 1,163 (33) | |
49±5 | 7 | 0.41 (0.06) | 2,322 (199) | 943 (26) |
8 | 0.45 (0.06) | 2,717 (210) | 1,231 (28) | |
9 | 0.36 (0.06) | 2,080 (228) | 742 (29) | |
10 | 0.28 (0.06) | 2,767 (231) | 788 (33) | |
11 | 0.46 (0.06) | 3,613 (229) | 1,688 (33) | |
12 | 0.23 (0.06) | 4,482 (229) | 1,049 (31) | |
87±12 | 13 | 0.36 (0.04) | 1,750 (162) | 628 (20) |
14 | 0.37 (0.05) | 2,423 (209) | 907 (26) | |
15 | 0.35 (0.06) | 2,411 (229) | 836 (28) | |
16 | 0.35 (0.06) | 2,213 (229) | 771 (33) | |
17 | 0.17 (0.07) | 3,826 (229) | 659 (36) | |
|
18 |
0.37 (0.07) |
2,077 (229) |
764 (36) |
Mean cell division rate, cell size, and production rate values are given with standard errors (in brackets) as obtained from linear models. The growth experiment was conducted using three replicates per strain.
The quartile variation coefficient (QVC), a measure of variability, varied between the three layers (see height of the boxes in Fig. 3a–c). The recent layer was the most diverse in terms of cell division rates (QVC=31%), and the deepest layer was the least diverse (QVC=3%), while the intermediate layer had a coefficient of 23% (Fig. 3a). The quartile variation coefficient of production rate was 35% for the recent layer, 22% for the intermediate and 12% for the oldest layer (Fig. 3c). This indicates an important drop in P. dalei growth performance variability after 49±5 years of dormancy.
Discussion
By germinating resting stages of the cyst-forming dinoflagellate P. dalei deposited in fjord sediments, we were able to show that the dormancy period had no reducing effect on the growth performance of revived cells. The sediment record used here was retrieved from a sill fjord experiencing recurrent anoxic conditions and virtually no bioturbation31. A lack of sediment disturbance was evident from the X-ray image, showing discrete laminations, and was also supported by the activity of 210Pb and 137Cs, providing a robust age control. In addition, any vertical contamination by smearing between layers was avoided by discarding the outer portion of each sediment layer while slicing the cores. We can therefore assume that the cysts isolated from the sediments represent, indeed, resting stages deposited in bottom sediments of the fjord over a time span from 2006 (the year of core collection) to 1,922±12. As P. dalei cysts were germinated in early 2009, we have tested growth performance after up to 87±12 years of cyst dormancy.
The variation in growth parameters of P. dalei was comparable between the recent group and the group of strains revived from sediments dated to 1,960±5, but notably lower for the oldest layer (1,922±12). This drop in variability after ca. 50 years of dormancy suggests a link between the ability to optimally utilize respiratory substrates, and the ability to resume vegetative growth at high rates. This is reflected by the low germination success of the oldest layer (5%). Although a higher percentage of cysts with cell contents were no longer viable in the deepest sediment layer, those able to germinate had the same potential to actively grow in the water-column as cells germinated from recently formed cysts. For P. dalei cysts to have remained viable for nearly a century, an extremely low respiration rate and/or extensive reserves would have been needed. Carbohydrate reserves are more suitable as storage than lipids in anoxic conditions, but previous studies with dinoflagellate cysts have shown that this storage product would quickly be depleted at a constant rate of degradation29. Therefore, either respiration rates decrease with cyst age or other respiratory substrates (lipids or proteins) are recruited after depletion of carbohydrates29.
The cysts retrieved from Koljö Fjord were naturally preserved in a confined environment experiencing recurrent bottom anoxia31. Anaerobiosis has been shown to be a crucial factor for resting cyst preservation, as it inhibits early germination without affecting cyst survival32. At the time of the asteroid impact, eustatic sea level was 100–200 m higher than today33 and shallow marine environments experiencing oxygen deficiency were the rule34. It is, therefore, reasonable to assume that at the end-Cretaceous low-oxygen shallow environments would have provided suitable conditions for resting stage survival.
The cysts isolated from Koljö Fjord sediments were able to germinate quickly after being placed at 15 °C in light and nutrient-replete conditions, regardless of dormancy period. Many studies have shown resting-stage germination to be triggered by an increase in temperature, oxygen and light conditions23. In the natural environment, resting stages, buried deep in the sediment, experience anoxia, darkness and lower temperatures and are unlikely to germinate unless they are brought back to the surface. This might be achieved by the movement of benthic fauna (bioturbation) or by physical processes.
Impact-driven tsunamis and earthquakes are imprinted in K-Pg sediment sequences worldwide and would have had sufficient magnitude to re-suspend resting stages buried deep in shelf sediments across the globe5. These immediate physical processes could have transported resting stages closer to the surface, which would then contribute to the 'seed pool' after light was restored. Normal wave and current-induced resuspension of fine-grained deposits in sub- and inter-tidal environments would then provide sufficient changes in the micro-scale environment to trigger resting-stage germination35. Modelling studies indicate that cooling of the surface ocean would result in strong upwelling for over a decade, also leading to sediment re-suspension8.
While screening the Koljö fjord sediments for Pentapharsodinum dalei cysts, we found viable resting stages of diatoms in sediments dated to ca. 40 years. This was not surprising, as several diatom species had previously been reported to germinate after decades of dormancy27, and Skeletonema marinoi over a period of more than 100 years36. Our observations on resting stages of other primary producers such as cyanobacteria, and non-calcifying haptophytes are relevant to discuss differential extinction, as these groups are generally not fossilizable.
Our observations indicate that coastal cyanobacteria are also capable of forming resting stages that are viable for at least a decade. Many cyanobacteria produce akinetes, which are spore-like reproductive structures containing reserve material. The viability of akinetes is enhanced by low temperatures, darkness and anaerobic conditions37, and these can survive in lake sediments for up to 64 years38. A high-resolution geochemical and biomarker record from the Fiskeler K-Pg boundary layer clearly shows that whereas there was a marked decrease in chlorophyll-c-containing eukaryotic phytoplankton, cyanobacteria crossed the boundary unscathed16.
We observed that non-calcifying haptophytes can produce resting stages able to survive in coastal sediments for at least 25 years. Isochrysis, Pavlova and Prymnesium species had previously been shown to survive in darkness, but not for periods exceeding 1 year39. Molecular-clock studies indicate that numerous clades of non-calcifying species with coastal affinities have survived the K-Pg extinction40. In contrast, calcifying (coccolitophorid) and non-calcifying oceanic clades were severely affected10,40. The fact that haptophyte resting stages have only been found in coastal species might be related to the major divergence occurring at the K-Pg between coastal and oceanic forms.
Germination after long-term dormancy appears to be common for resting stages of diatoms, non-calcifying haptophytes and cyanobacteria, indicating that the ability to maintain high-growth performance, as shown here for the dinoflagellate P. dalei, is also taxonomically widespread. We, thus, propose that phytoplankton resting stages accumulated in coastal sediments have aided survival across the K-Pg and played a crucial role for the resurgence of primary production and ecosystem recovery. Phytoplankton resting stage 'banks' in coastal sediments should be incorporated in scenarios aimed at reconstructing or predicting recovery from catastrophes. It should be noted, however, that photosynthesis and biodiversity recovery do not occur at the same rates. Considering that only a fraction of modern phytoplankton groups are able to form resting stages (for example, less than 20% of modern dinoflagellate species are known to produce cysts), removing non-cyst formers at the K-Pg likely resulted in a larger diversity loss than that inferred from the fossil record (because non-cyst formers do not fossilize). Although the recovery of primary productivity after the K-Pg was relatively rapid, the recuperation in biodiversity is expected to have been delayed, due to intrinsic limits to how quickly global biodiversity can recover after extinction events41.
The benthic realm has recently been shown to have served as an important refuge not only for primary producers but also foraminifera42. Benthic–pelagic coupling probably contributed to the resilience and diversification of marine life across other biological crisis in Earth history.
Methods
Sediment-core sampling and dating
Five sediment cores were retrieved at 45 m depth from Koljö Fjord, north of Gothenburg, Sweden (58°13′N, 11°34′E) in April 2006. This is a sill fjord with limited oxygen supply, minimum tidal activity and virtually no benthic macrofauna (resulting in nearly no bioturbation)31. The cores were taken with a modified micro-Kullenberg piston corer. All cores were X-rayed while intact and correlated by easily distinguishable features (lamination patterns). The cores were sliced at 1 cm intervals by extrusion from the bottom of the tube. Apart from the first sample, which had high water content, the outer 5–10 mm of each slice was scraped off to eliminate potential contamination by smearing between the layers while pushing the core upwards, and the equipment used was thoroughly rinsed between samples. The inner portion of each slice (after discarding the outer ring) was collected in individually labelled plastic bags and stored in the dark at 4 °C. Dating was based on the activity of 210Pb, 226Ra and 137Cs via gamma-spectrometry measured on K4 on a Canberra low-background Germanium well detector. The activity of 210Pb was measured via its gamma-peak at 46.5 keV, 226Ra via the granddaughter 214Pb (peaks at 295 and 352 keV) and 137Cs via its peak at 661 keV. A combined constant rate of supply and constant initial concentration model43 was applied, where the inventory below 45 cm (below the 210Pb detection limit) was calculated on the basis of a regression.
Resting stage isolation and germination
To separate aggregated particles, sediment samples (ca. 5 cm3 of wet sediment) were placed in an ultrasonic bath for 2 min, and wet-sieved with filtered seawater through a 100 μm onto a 25 μm metallic-mesh calibrated sieve. The resting stage fraction was separated from the sediments by density centrifugation (sieved aliquot added to a solution of sodium metatungstate with density 1.3 g ml−1 and centrifuged at 1,500 g for 10 min). We registered the taxonomic affinity of all resting stages encountered with cell contents (that is, potentially viable). Single resting cysts of the target species, P. dalei, were transferred with a micropipette into 96-microwell plates containing ∼0.25 ml of TL medium44. The plates were placed in a temperature controlled room at 15 °C, under an irradiance of ca. 80 μmol photons m−2 s−1, and a light:dark cycle of 16 h:8 h. The microwells were examined for motile stages on a regular daily-to-weekly basis. Successful germinations were recorded and individual P. dalei motile cells were transferred to culture flasks and kept in TL medium under the same conditions as those for germination. A total of 193 P. dalei strains were established.
Experimental conditions
To test the effect of dormancy time on growth performance, we randomly picked 18 P. dalei strains revived from three discrete sediment layers (K3) dated to recent, 1,960±5 and 1,922±12. The selected strains were subjected to similar laboratory conditions until the start of the experiment. Vegetative cells were acclimated for 12 days at salinity 30 to an irradiance of 150 μmol photons m−2 s−1, and a light:dark cycle of 16 h: 8 h. After the acclimation period, 300 vegetative cells ml−1 were transferred to fresh TL medium (pH 7.5) in closed triplicate sterile polycarbonate flasks (70 ml) filled to capacity. The 54 replicates were left to grow for 4 additional days before the first sampling for cell-concentration determination. Volumes of 5 ml were fixed with Lugol's acid and cell concentrations determined by counting at least 300 cells in Sedgewick Rafter chambers. To avoid growth limitation by increased pH due to high photosynthetic production in the closed containers45, we monitored pH at each sampling and assured it did not increase above the levels that affected the growth rate (<8.7). Fresh medium replaced the sample volume (5 ml). To eliminate the potential effects of slight spatial differences in irradiance, the positions of the flasks were changed randomly during the course of the experiment.
Cultures used in the study are kept at the Scandinavian Culture Collection for Algae and Protozoa (http://www.sccap.dk).
Calculations and statistics
We determined cell division rates (day−1), cell size (μm3) and production rates (μm3 day−1) for the 18 tested strains. Cell division rates were calculated for each of the 54 flasks (3 replicates per strain) as the logarithm of the change in cell concentration divided by the time elapsed for each successive sampling interval (1–3 days intervals for up to 14 days of exponential growth). Cumulative cell concentrations were calculated, to account for the dilution rate (as 5 ml of sample was replaced by fresh medium at each sampling). The end of the exponential growth phase was defined as the point where the mean division rates of successively added sampling points changed in comparison to the sampling time interval day 4–8 (LM, P>0.05). Cell size was calculated assuming the shape of an elliptical sphere, based on length and width measurements of 60 exponentially growing cells per strain. Production rates were estimated as the product of cell size and division rate.
To test the growth performance of revived P. dalei strains, we used a linear model of the response variables (cell division rate, cell size and production rate) as a function of strain. Accounting for random variation between the strains, we used an LMEM to study the effect of cyst dormancy period on growth performance. Initially, we modelled log-transformed cell concentrations using a 'random-slope LMEM', including all possible sources of random variation due to the variables: flask (a 54-level factor), time of sampling and strain (an 18-level factor). Random variation due to strain was ∼7 times higher than random variation between sampling times and no variation was explained by the random flask effect, indicating low replication error and good reproducibility in our experiment. Therefore, we chose a simplified LMEM including only the response variables (division rate, cell size and production rates) as a function of dormancy period (a 3-level factor) with strain (an 18-level factor) as a random effect. P-values were estimated based on maximum likelihood by comparing the null model including dormancy period (0-model) with the reduced nested model without the fixed effect using χ2-tests. The mean values (coefficients) for the three groups of strains (representing three distinct cyst dormancy periods) were calculated based on restricted maximum likelihoods. All statistical analyses were performed using R version 2.10.1 (ref. 46). For the LMEM we used the R package lme4 (ref. 46).
The QVC was calculated as a means to assess the growth performance variability for each of the three cyst dormancy periods, according to the formula: QVC=100((Q3−Q1)/(Q3+Q1)), where Q1 and Q3 are the first and third quartile, respectively.
Author contributions
M.E. developed the research project leading to this study. S.R., N.L., M.E., and T.J.A. collected the sediment cores. T.J.A. dated the samples and constructed the age–depth model. S.R., N.L. and M.E. performed resting stage isolations and germinations. S.R., T.B., M.E. and N.L. designed the growth experiment. S.R. and T.B. conducted the growth experiment and analysed the data. F.A. contributed with ideas to the study framework. S.R. and T.B. wrote the manuscript. All the authors discussed the results and commented on the manuscript.
Additional information
How to cite this article: Ribeiro, S. et al. Phytoplankton growth after a century of dormancy illuminates past resilience to catastrophic darkness. Nat. Commun. 2:311 doi: 10.1038/ncomms1314 (2011).
Acknowledgments
This study was funded by the Danish Research Council through the project: 'Changes in Community Structure and Microevolution in Marine Protists'. S.R. and T.B. hold doctoral grants from the Portuguese Foundation for Science and Technology (SFRH/BD/30847/2006) and University of Copenhagen, respectively. We thank T. Gilbert, G. Simpson, T. Fenchel, P. Cermeño and P.J. Hansen for comments and suggestions, P. Frandsen for laboratory assistance, and A.-M. Nyby for the cyst SEM micrograph. The sediment core was kindly X-rayed at Hvidovre Hospital by J. Søgaard, D. Møller and A. Vestergaard.
References
- Krug A. Z., Jablonski D. & Valentine J. W. Signature of the end-Cretaceous mass extinction in the modern biota. Science 323, 767–771 (2009). [DOI] [PubMed] [Google Scholar]
- Alvarez L. W., Alvarez W., Asaro F. & Michel H. V. Extraterrestrial cause for the Cretaceous-Tertiary extinction. Science 208, 1095–1108 (1980). [DOI] [PubMed] [Google Scholar]
- Schulte P. et al. The Chicxulub asteroid impact and mass extinction at the Cretaceous-Paleogene boundary. Science 327, 1214–1218 (2010). [DOI] [PubMed] [Google Scholar]
- Toon O. B., Turco R. P. & Covey C. Environmental perturbations caused by the impacts of asteroids and comets. Rev. Geophys. 35, 41–78 (1996). [Google Scholar]
- Kring D. The Chicxulub impact event and its environmental consequences at the Cretaceous-Tertiary boundary. Palaeogeogr. Palaeocl. Palaeoecol. 255, 4–21 (2007). [Google Scholar]
- Twittchett R. J. The palaeoclimatology, palaeoecology and palaeoenvironmental analysis of mass extinction events. Palaeogeogr. Palaeocl. Palaeoecol. 232, 190–213 (2006). [Google Scholar]
- Pollack J. B., Toon O. B., Ackerman T. P. & McKay C. P. Environmental effects of an impact-generated dust cloud: implications for the Cretaceous-Tertiary Extinctions. Science 219, 287–289 (1983). [DOI] [PubMed] [Google Scholar]
- Pope K. O., Baines K. H., Ocampo A. C. & Ivanov B. A. Energy, volatile production, and climatic effects of the Chicxulub Cretaceous/Tertiary impact. J. Geophys. Res. 102, 21645–21664 (1997). [DOI] [PubMed] [Google Scholar]
- McLeod N. et al. The Cretaceous-Tertiary biotic transition. J. Geol. Soc. London 154, 265–292 (1997). [Google Scholar]
- Pospichal J. J. in The Cretaceous-Tertiary Event and Other Catastrophes in Earth History Vol. 307 (eds Ryder, G., Fastovsky, D. & Gartner, S.) (Geological Society of America Special Papers, 1988). [Google Scholar]
- D'Hondt S., Donaghay P., Zachos J. C., Luttenberg D. & Lindinger M. Organic carbon fluxes and ecological recovery from the Cretaceous-Tertiary mass extinction. Science 282, 276–279 (1998). [DOI] [PubMed] [Google Scholar]
- Harwood D. M. in Geology and Palaeontology of Seymour Island, Antarctic Peninsula, Vol. 169 (eds Feldmann, R. M. & Woodburne, M. O.) 55–129 (Geological Society of America Memoirs, 1988). [Google Scholar]
- Brinkhuis H. & Zachariasse W. J. Dinoflagellate cysts, sea level changes and planktonic foraminifers across the Cretaceous-Tertiary boundary at El Haria, northern Tunisia. Mar. Micropaleontol. 13, 153–191 (1988). [Google Scholar]
- Willumsen P. S. Palynodinium minus sp. nov., a new dinoflagellate from the Cretaceous-Paleogene boundary in New Zealand. Its significance and palaeoecology. Cretaceous Res. 27, 954–963 (2006). [Google Scholar]
- Prauss M. L. The K/Pg boundary at Brazos-River, Texas, USA—an approach by marine palynology. Palaeogeogr. Palaeocl. Palaeoecol. 283, 195–215 (2009). [Google Scholar]
- Sepúlveda J., Wendler J. E., Summons R. E. & Hinrichs K.- U. Rapid resurgence of marine productivity after the Cretaceous-Paleogene mass extinction. Science 326, 129–132 (2009). [DOI] [PubMed] [Google Scholar]
- Jones H. et al. Experiments on mixotrophic protists and catastrophic darkness. Astrobiology 9, 563–571 (2009). [DOI] [PubMed] [Google Scholar]
- Rintala J.- M., Spilling K. & Blomster J. Temporary cyst enables long-term dark survival of Scrippsiella hangoei (Dinophyceae). Mar. Biol. 152, 57–62 (2007). [Google Scholar]
- D'Hondt S., Pilson M. E. Q., Sigurdsson H., Hanson A. K. Jr. & Carey S. Surface-water acidification and extinction at the Cretaceous-Tertiary boundary. Geology 22, 983–986 (1994). [Google Scholar]
- Bown P. Selective calcareous nannoplankton survivorship at the Cretaceous-Tertiary boundary. Geology 33, 653–656 (2005). [Google Scholar]
- Kitchell J. A., Clark D. L. & Gombos A. M. Jr. Biological selectivity to extinction: a link between background and mass extinction. Palaios 1, 504–511 (1986). [Google Scholar]
- Knoll A. H. Evolution and extinction in the marine realm: some constraints imposed by phytoplankton. Phil. Trans. R. Soc. Lond. B 325, 279–290 (1989). [DOI] [PubMed] [Google Scholar]
- Genovesi-Giunti B., Laabir A. & Vaquer A. The benthic resting cyst: a key actor in harmful dinoflagellate blooms—a review. Vie. Milieu. 56, 327–337 (2006). [Google Scholar]
- Hargraves P. E. & French F. W. in Survival Strategies of the Algae (ed. Fryxell, G. A.) 49–68 (Cambridge University Press, 1983). [Google Scholar]
- Lewis J., Harris A. S. D., Jones K. J. & Edmonds R. L. Long-term survival of marine planktonic diatoms and dinoflagellates in stored sediment samples. J. Plankton Res. 21, 343–354 (1999). [Google Scholar]
- Keafer B. A., Buesseler K. O. & Anderson D. M. Burial of living dinoflagellate cysts in estuarine and nearshore sediments. Mar. Micropaleontol. 20, 147–161 (1992). [Google Scholar]
- McQuoid M. R., Godhe A. & Nordberg K. Viability of phytoplankton resting stages in the sediments of a coastal Swedish fjord. Eur. J. Phycol. 37, 191–201 (2002). [Google Scholar]
- Mizushima K. & Matsuoka K. Vertical distribution and germination ability of Alexandrium spp. cysts (Dinophyceae) in the sediments collected from Kure Bay of the Seto Inland Sea, Japan. Phycol. Res. 52, 408–413 (2004). [Google Scholar]
- Binder B. J. & Anderson D. M. Biochemical composition and metabolic activity of Scrippsiella trochoidea (Dinophyceae) resting cysts. J. Phycol. 26, 289–298 (1990). [Google Scholar]
- Gottschling M., Renner S. S., Meier K. J. S., Willems H. & Keupp H. Timing deep divergence events in calcareous dinoflagellates. J. Phycol. 44, 429–438 (2008). [DOI] [PubMed] [Google Scholar]
- Nordberg K., Filipsson H. L., Gustafsson M., Harland R. & Roos P. Climate, hydrographic variations and marine benthic hypoxia in Koljö Fjord, Sweden. J. Sea Res. 46, 187–200 (2001). [Google Scholar]
- Anderson D. M., Taylor C. D. & Armbrust E. V. The effects of darkness and anaerobiosis on dinoflagellate cyst germination. Limnol. Oceanogr. 32, 340–351 (1987). [Google Scholar]
- Müller R. D., Sdrolias M., Gaina C., Steinberger B. & Heine C. Long-term sea level driven by ocean basin volume change. Science 319, 1357–1362 (2008). [DOI] [PubMed] [Google Scholar]
- Arthur M. A. & Sageman B. B. Marine black shales: depositional mechanisms and environments of ancient deposits. Annu. Rev. Earth Planet. Sci. 22, 499–551 (1994). [Google Scholar]
- Kremp A. Effects of cyst resuspension on germination and seeding of two bloom-forming dinoflagellates in the Baltic Sea. Mar. Ecol. Prog. Ser. 216, 57–66 (2001). [Google Scholar]
- Härnström K., Ellegaard M., Andersen T. J. & Godhe A. Hundred years of genetic structure in a sediment revived diatom population. Proc. Natl Acad. Sci. USA 108, 4252–4257 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fay P. Viability of akinetes of the planktonic cyanobacterium Anabaena circinalis. Proc. R. Soc. Lond. B 234, 283–301 (1988). [Google Scholar]
- Livingstone D. & Jaworski G. H. M. The viability of akinetes of blue-green algae recovered from the sediments of Rostherne Mere. Br. Phycol. J. 15, 357–364 (1980). [Google Scholar]
- Antia N. J. Effects of temperature on the darkness survival of marine microplanktonic algae. Microbial Ecol. 3, 41–54 (1976). [DOI] [PubMed] [Google Scholar]
- Medlin L. K., Sáez A. G. & Young J. R. A molecular clock for coccolitophores and implications for selectivity of phytoplankton extinctions across the K/T boundary. Mar. Micropaleontol. 67, 69–86 (2008). [Google Scholar]
- Kirchner J. & Weil A. Delayed biological recovery from extinctions throughout the fossil record. Nature 404, 177–180 (2000). [DOI] [PubMed] [Google Scholar]
- Darling K. F., Thomas E., Kasemann S. A., Seears H. A., Smart C. W. & Wade C. M. Surviving mass extinction by bridging the benthic/planktic divide. Proc. Natl Acad. Sci. USA 106, 12629–12633 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Appleby P. G. in Tracking Environmental Change Using Lake Sediments (eds Last, W. M. & Smol, J. P.) 171–203 (Kluwer Academic Publishers, 2001). [Google Scholar]
- Larsen N. H., Moestrup Ø. & Pedersen P. M. (eds) Scandinavian Culture Centre. Catalogue 1994. (Department of Biology, University of Copenhagen, 1994). [Google Scholar]
- Hansen P. J. Effect of high pH on the growth and survival of marine phytoplankton. Aquat. Microb. Ecol. 28, 279–288 (2002). [Google Scholar]
- R Development Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2011) http://www.R-project.org. [Google Scholar]