Biology subjects

Rynearson, T. A.

Publications and source records attributed to Rynearson, T. A..

7 recordsLinked to original sources

bioRxiv2024

Ocean carbon export can be predicted from ocean color-based phytoplankton communities

Carbon flux to the deep sea can be dictated by surface ocean phytoplankton community composition, but translating surface ocean observations into quantitative predictions of carbon export requires additional consideration of the underlying ecosystem drivers. Here, we used genetic tracers of phytoplankton detected in surface seawater and within sinking particles collected in the mesopelagic ocean to identify mechanistic links between surface communities and carbon export in the North Pacific and North Atlantic Oceans. Phytoplankton 18S rRNA sequences were sampled over a one-month period in surface seawater and within bulk-collected and individually-isolated sinking particles using mesopelagic sediment traps (100-500m). Nearly all phytoplankton amplicon sequence variants (ASVs) exported from the surface were packaged in large (>300 {micro}m) particles. Individually, these particles contained only a few distinct phytoplankton ASVs, but collectively, large particles transported about half of the surface taxonomic diversity into the mesopelagic. The relative sequence abundances of the surface community detected within particles were quantitatively related to measured POC fluxes: a linear model based on the relative sequence abundance of just two pigment-based phytoplankton taxa, diatoms and photosynthetic Hacrobia, was predictive of POC flux magnitude. These two taxa were also enriched within the ecologically-distinct particle classes that had the greatest influence on carbon export magnitude. As global, hyperspectral ocean color satellites begin to quantify these taxonomic groups in the surface ocean, the relationship of these taxa to carbon fluxes demonstrated here may help generate more accurate global estimates of export.

ecology↗

bioRxiv2023

Missing microbial eukaryotes and misleading meta-omic conclusions

Meta-omics has become commonplace in the study of microbial eukaryotes. The explosion of available data has inspired large-scale analyses, including species or taxonomic group distribution mapping, gene catalog construction, and inference on the functional roles and activities of microbial eukaryotes in situ. However, genome and transcriptome databases are prone to misannotation biases, and meta-omic inventories may have no recoverable taxonomic annotation for more than half of assembled contigs or predicted proteins. Direct mapping solely to organisms of interest might introduce a problematic misattribution bias, while full databases can annotate any cataloged organism but may be imbalanced between taxa. Here, we explore the potential pitfalls of common approaches to taxonomic annotation of protistan meta-omic datasets. We argue that ongoing curation of genetic resources is critical in accurately annotating protists in situ in meta-omic datasets. Moreover, we propose that precise taxonomic annotation of meta-omic data is a clustering problem rather than a feasible alignment problem. We show that taxonomic membership of sequence clusters demonstrates more accurate estimated community composition than returning exact sequence labels, and overlap between clusters can address database shortcomings. Clustering approaches can be applied to diverse environments while continuing to exploit the wealth of annotation data collated in databases, and database selection and evaluation is a critical part of correctly annotating protistan taxonomy in environmental datasets. We re-analyze three environmental datasets at three levels of taxonomic hierarchy in order to illustrate the critical importance of both database completeness and curation in enabling accurate environmental interpretation.

microbiology↗

bioRxiv2023

Quantitative analysis of food web dynamics in a low export ecosystem

Food webs trace the flow of organic matter and energy among producers and consumers; for pelagic marine food webs, network complexity directly influences the amount and form of carbon exported to the deep ocean via the biological pump. Here we present a synoptic view of mixed layer food web dynamics observed during the late summer 2018 EXport Processes in the Ocean from Remote Sensing (EXPORTS) field campaign in the subarctic Northeast Pacific at the long-running time-series site, Ocean Station Papa. Carbon biomass reservoirs of phytoplankton, microzooplankton, and bacterioplankton, were approximately equal while mesozooplankton biomass was 70% lower. Live organisms composed [~]40% of the total particulate organic carbon within the mixed layer: the remainder was attributed to detritus. Rates of carbon transfer among reservoirs indicated production and assimilation rates were well balanced by losses, leaving little organic carbon available for export. The slight positive net community production rate generated organic carbon that was exported from the system in the form of food web byproducts, such as large fecal pellets generated by mesozooplankton. This characteristically regenerative food web had relatively slow turnover times with small-magnitude transfers of carbon relative to standing stocks that occurred amidst a high background concentration of detrital particles and dissolved organic matter. The concurrent estimation of food web components and rates revealed that separated processes dominated the transfer of carbon within the food web compared to those that contributed to export. Plain Language SummaryThe biological carbon pump drives a downward flux of organic matter from the sunlit surface ocean to the vast ocean interior. Ecological interactions in the surface ocean directly affect the amount and type of carbon that is exported to the deep ocean. In this study, we present a synthesis of the late summer mixed layer food web in the Northeast Pacific that was extensively characterized during the 2018 EXport Processes in the Ocean from Remote Sensing (EXPORTS) field campaign. We found the majority of carbon was recycled within the mixed layer by microbes through multiple transfers between producers and consumers. Larger organisms, mesozooplankton and salps, only consumed a small amount of carbon but through the formation of sinking fecal pellets were the main mechanism of transporting carbon out of the system. The study highlights the need to concurrently study microbial and large organism dynamics to develop a predictive understanding of the fate of organic carbon in the oceans. Key PointsO_LIThe microbial loop dominated carbon flow in the late summer mixed layer food web of the North Pacific, most net production was respired leaving little carbon available for export. C_LIO_LIActive production and consumption of organic carbon occurred amid a high background of detrital particulate organic carbon (58% of total) with slow turnover time, 66 d. C_LIO_LIMesozooplankton which had relatively minor carbon consumption rates created the majority of export production due to efficient repackaging of consumed material. C_LI

ecology↗

bioRxiv2021

Emerging harmful algal blooms caused by distinct seasonal assemblages of the toxic diatom Pseudo-nitzschia in Narragansett Bay, RI, USA

The diatom Pseudo-nitzschia produces the neurotoxin domoic acid (DA) that bioaccumulates in shellfish, causing illness in humans and marine animals upon ingestion. In 2017, high levels of DA in shellfish meat closed shellfish harvest in Narragansett Bay (NBay), Rhode Island for the first time in history, although abundant Pseudo-nitzschia have been observed for over 50 years. What caused these events is unknown: whether an environmental factor altered endemic Pseudo-nitzschia physiology or new DA-producing strain(s) were introduced. To investigate, we conducted weekly sampling from 2017-2019 to compare with 2016 precautionary closure and 2017 closure samples. Particulate DA was quantified by highly sensitive LC-MS/MS and correlated with environmental metadata. Pseudo-nitzschia were identified using high-throughput rDNA sequencing, yielding a detailed understanding of distinct seasonal multi-species assemblages. Low DA was detected throughout 2017-2019, except in recurring peaks in the fall and early summer. Fall DA peaks contained toxigenic species (P. pungens var. pungens, P. multiseries, P. calliantha, and P. subpacifica) as well as a novel P. americana taxon. Fewer species were present during summer DA peaks including toxigenic P. multiseries, P. plurisecta, and P. delicatissima. Most 2017 closure samples contained P. australis. Our data showed P. australis as infrequent but particularly concerning. Recurring Pseudo-nitzschia assemblages were driven by seasonal temperature changes and DA correlated with low dissolved inorganic nitrogen. Thus, the NBay closures were likely caused by resident assemblages dependent on nutrient status as well as the episodic introductions of species that may be a result of oceanographic and climactic shifts.

ecology↗

bioRxiv2020

Surviving heatwaves: thermal experience predicts life and death in a Southern Ocean diatom

Extreme environmental fluctuations such as marine heatwaves (MHWs) can have devastating effects on ecosystem health and functioning through rapid population declines and destabilisation of trophic interactions. However, recent studies have highlighted that population tolerance to MHWs is variable, with some populations even benefitting from MHWs. A number of factors can explain variation in responses between populations including their genetic variation, previous thermal experience and the intensity and duration of the heatwave itself. We disentangle the contributions of these factors on population survival and post-heatwave growth rates by experimentally simulating heatwaves (7.5 or 9.2 {degrees}C, for up to nine days) for three genotypes of the Southern Ocean diatom Actinocyclus actinochilus. The effects of simulated heatwaves on mortality and population growth varied with both genotype and thermal experience. Firstly, hotter and longer heatwaves increased mortality and decreased post-heatwave growth rates relative to milder, shorter heatwaves. Secondly, growth above the thermal optimum before heatwaves exacerbated heatwave-associated negative effects, leading to higher mortality during heatwaves and slower growth after heatwaves. Thirdly, hotter and longer heatwaves resulted in more pronounced changes to thermal optima (Topt) immediately following heatwaves. Finally, there is substantial intraspecific variation in mortality during heatwaves and in post-heatwave growth. Our findings shed light on the potential of Southern Ocean diatoms to tolerate MHWs, which will increase both in frequency and in intensity under future climate change.

ecology↗

bioRxiv2020

Irradiance modulates thermal niche in a previously undescribed low-light and cold-adapted nano-diatom

Diatoms have well-recognized roles in fixing and exporting carbon and supplying energy to marine ecosystems, but only recently have we begun to explore the diversity and importance of nano- and pico-diatoms. Here we describe a small (~5 m) diatom from the genus Chaetoceros Isolated from a wintertime temperate estuary (2{degrees} C, Narragansett Bay, RI), with a unique obligate specialization for low-light environments (< 120 mol photons m-2 sec-1). This diatom exhibits a striking interaction between irradiance and thermal responses whereby as temperatures increase, so does its susceptibility to light stress. Historical 18S rRNA amplicon data from our study site show this isolate was abundant throughout a six-year period, and its presence strongly correlates with winter and early spring months when light and temperature are low. Two ASVs matching this isolate had a circumpolar distribution in Tara Polar Ocean Circle samples, indicating its unusual light and temperature requirements are adaptations to life in a cold, dark environment. We expect this isolates low light, psychrophilic niche to shrink as future warming-induced stratification increases both light and temperature levels experienced by high latitude marine phytoplankton.

microbiology↗

bioRxiv2020

Dual thermal ecotypes detected within a nearly genetically-identical population of the unicellular marine cyanobacterium Synechococcus

The extent and ecological significance of intraspecific diversity within marine microbial populations is still poorly understood, and it remains unclear if such strain-level microdiversity will affect fitness and persistence in a rapidly changing ocean environment. In this study, we cultured 11 sympatric strains of the ubiquitous marine picocyanobacterium Synechococcus isolated from a Narragansett Bay (Rhode Island, USA) phytoplankton community thermal selection experiment. Despite all 11 isolates being highly similar (with average nucleotide identities of >99.9%, with 98.6-100% of the genome aligning), thermal performance curves revealed selection at warm and cool temperatures had subdivided the initial population into thermotypes with pronounced differences in maximum growth temperatures. Within the fine-scale genetic diversity that did exist within this population, the two divergent thermal ecotypes differed at a locus containing genes for the phycobilisome antenna complex. Our study demonstrates that present-day marine microbial populations can contain microdiversity in the form of cryptic but environmentally-relevant thermotypes that may increase their resilience to future rising temperatures. SignificanceNumerous studies exist comparing the responses of distinct taxonomic groups of marine microbes to a warming ocean (interspecific thermal diversity). For example, Synechococcus, a nearly globally distributed unicellular marine picocyanobacterium that makes significant contributions to oceanic primary productivity, contains numerous taxonomically distinct lineages with well documented temperature relationships. Little is known though about the diversity of functional responses to temperature within a given population where genetic similarity is high (intraspecific thermal diversity). This study suggests that understanding the extent of this functional intraspecific microdiversity is an essential prerequisite to predicting the resilience of biogeochemically essential microbial groups such as marine Synechococcus to a changing climate.

microbiology↗