Metagenomic Research Articles

Comparative genome analysis of the monogonont marine rotifer Brachionus manjavacas Australian strain: Potential application for ecotoxicology and environmental genomics

This is the first study to analyze the whole-genome sequence of B. manjavacas Australian (Aus.) strain through combination of Oxford Nanopore long-read seq, resulting in a total length of 108.1 Mb and 75 contigs. Genome-wide detoxification related gene families in B. manjavacas Aus. strain were comparatively analyzed with those previously identified in other Brachionus spp., including B. manjavacas German (Ger.) strain. Most of the subfamilies in detoxification related families (CYPs, GSTs, and ABCs) were highly conserved and confirmed orthologous relationship with Brachionus spp., and with accumulation of genome data, clear differences between genomic repertoires were demonstrated the marine and the freshwater species. Furthermore, strain-specific genetic variations were present between the Aus. and Ger. strains of B. manjavacas. This whole-genome analysis provides in-depth review on the genomic structural differences for detoxification-related gene families and further provides useful information for comparative ecotoxicological studies and evolution of detoxification mechanisms in Brachionus spp.

Environmental genomics applications for environmental management activities in the oil and gas industry: state-of-the-art review and future research needs

Environmental genomics is a rapidly advancing field that promises to revolutionise the way in which industry conducts biodiversity monitoring. The International Association of Oil and Gas Producers Environmental Genomics Joint Industry Program (JIP) was formed in June 2019 with the aim of facilitating the development and uptake of environmental genomics within the oil and gas industry. Towards this goal, a white paper was produced that summarises the state‐of‐the‐art in environmental genomics research, and the opportunities and limitations of applying environmental genomics within industry. The white paper included a comprehensive literature review, and importantly, involved consultation with professionals from academic, regulatory and industry backgrounds from across the globe that had expertise in environmental genomics applications. While this consultation revealed a consensus that the application of environmental genomics has advanced greatly in a brief period, with demonstrable benefits, there was an acknowledgement that key aspects are still lacking that would allow confident application of genomics approaches within industry. Through the review and consultation process, a range of knowledge gaps and areas requiring further development were identified. To elucidate which of these areas were most critical to the successful application of environmental genomics within industry, the JIP is drafting guidance that describes sampling design considerations, minimum standards for laboratory analyses and approaches to genomics data interpretation. Through the drafting of guidance, the JIP hopes to determine which gaps are most critical, enabling these to be prioritised for targeted research. The guidance will then be updated regularly to capture the latest research outcomes.

Patterns and ecological drivers of viral communities in acid mine drainage sediments across Southern China

Recent advances in environmental genomics have provided unprecedented opportunities for the investigation of viruses in natural settings. Yet, our knowledge of viral biogeographic patterns and the corresponding drivers is still limited. Here, we perform metagenomic deep sequencing on 90 acid mine drainage (AMD) sediments sampled across Southern China and examine the biogeography of viruses in this extreme environment. The results demonstrate that prokaryotic communities dictate viral taxonomic and functional diversity, abundance and structure, whereas other factors especially latitude and mean annual temperature also impact viral populations and functions. In silico predictions highlight lineage-specific virus-host abundance ratios and richness-dependent virus-host interaction structure. Further functional analyses reveal important roles of environmental conditions and horizontal gene transfers in shaping viral auxiliary metabolic genes potentially involved in phosphorus assimilation. Our findings underscore the importance of both abiotic and biotic factors in predicting the taxonomic and functional biogeographic dynamics of viruses in the AMD sediments.

Environmental Sustainability Analysis of L-Tryptophan as a Consumer Product and Intermediate to Pharmaceutical Active Ingredients

L-tryptophan is a naturally occurring α-amino acid that is also purchased by consumers for medicinal and dietary purposes. L-tryptophan is also a starting point for synthesizing medical derivatives with antiplatelet aggregation and antibacterial activity. Beneficial direct use and subsequent synthetic product use were evaluated with respect to the environmental footprint of the cradle-to-L-tryptophan manufacturing process, using the next generation life cycle inventory technology of the Environmental Genome. The principal route is fermentation from sugar (dextrose). The environmental metrics quantified were natural resource energy combustion (NREc) and CO2eq for air (defined below). The environmental boundary includes 137 chemical intermediates (gate-to-gates, gtg), of which 33 are non-repeating, with the most consequential for the environmental metrics being dextrose and the L-tryptophan. The cradle-to-gate process energy is 147 MJ/kg L-tryptophan, while the more comprehensive natural resource energy combustion (NREc) is 222 MJ/kg L-tryptophan. The carbon footprint is 18.7 kg CO2equivalent/kg L-tryptophan, with 53% of this from the cradle-to-gate of the supply chains. It is important to note this is only a partial environmental assessment of L-tryptophan since the environmental benefits of use in consumption and when used to make preventative pharmaceuticals are not included.

Functional repertoire convergence of distantly related eukaryotic plankton lineages abundant in the sunlit ocean

Marine planktonic eukaryotes play critical roles in global biogeochemical cycles and climate. However, their poor representation in culture collections limits our understanding of the evolutionary history and genomic underpinnings of planktonic ecosystems. Here, we used 280 billion Tara Oceans metagenomic reads from polar, temperate, and tropical sunlit oceans to reconstruct and manually curate more than 700 abundant and widespread eukaryotic environmental genomes ranging from 10 Mbp to 1.3 Gbp. This genomic resource covers a wide range of poorly characterized eukaryotic lineages that complement long-standing contributions from culture collections while better representing plankton in the upper layer of the oceans. We performed the first, to our knowledge, comprehensive genome-wide functional classification of abundant unicellular eukaryotic plankton, revealing four major groups connecting distantly related lineages. Neither trophic modes of plankton nor its vertical evolutionary history could completely explain the functional repertoire convergence of major eukaryotic lineages that coexisted within oceanic currents for millions of years.

Bioprospecting culturable and unculturable microbial consortia through metagenomics for bioremediation

With the enormous increase in population and industrial network, the harmful pollutants affecting biota have also escalated. The pollutants are consumed by living organisms directly or indirectly reducing animal and economic wellbeing. The degradation of contaminants is imperative owing to the prolonged persistence of contaminants like plastics, heavy metals, pesticides, dyes, pharmaceuticals, and hydrocarbons. Remediation of such pollutants requires efficient methods to prevent mobilizing-contaminants leaching into soil and finally to human beings. In this regard, metagenomics (MGs), a non-culturable technique, involving the direct recovery of the genetic material from environmental samples is an effective tool for understanding the remediation process mediated by microorganisms and their gene products like enzymes. MGs offers a gateway to previously hidden microbial communities grown in the normal and extreme environment through sequence-based or function-based approaches. The culture-independent MGs approach in combination with other meta-omics approaches involves an easy and rapid method for the selection of remediation-efficient microbes. This paper elucidates the negative implications of several contaminants on terrestrial and aquatic biota besides highlighting the role of MGs and associated meta-omics approaches in characterizing contaminant degrading microbes. The MGs research related to bioremediation can help to generate information that will improve the bioremediation process and aid in deciphering the complete microbe-mediated bioremediation mechanism pathways. In future MGs can be helpful to comprehensively understand the mechanisms involved in efficient bioremediation, develop new strategies and models for application in rapid, accurate and efficient bioremediation process and optimize the bioremediation technique. Furthermore, the application of metagenomics to determine microbial diversity and specific genes can act as pollution biomarkers.

Methods and Tools Used in Metagenomics and its Applications in Biotechnology

Metagenomics is a collection of techniques and methods for analyzing genetic material (genes) found in the environment lacking of the microbial elements that live there. This field is regarded as a combined study of Microbiology and Genomics. This is as opposed to traditional microbiology approaches, which rely on the examination of the component to comprehend the whole. Metagenomics goes the other direction, focusing on recognizing the environmental microbial potential and determining its forms by distinguishing strains, It can also be used to extract specific proteins directly from the natural world. Microbiologists were able to gain a deeper comprehension of how microbial communities function and how species communicate with one another thanks to this genetic knowledge. It would also be beneficial to both the economy and the environment. It also helps to improve food security by improving sustainable agricultural practices and ensuring the quality and provision of ecosystem services, in addition providing insight into the environment of microorganisms that are beneficial or threaten the growth of agricultural crops. Genomic data is also being used to see if there are any non-arable microbial representations that could be used as alternative energy sources to address pressing environmental issues such as global warming and the growth of renewable energy sources like hydrogen and methane. Metagenomics can also be applied to diagnose infectious diseases, classify intestinal microbes, develop biofuels, and treat the climate. Environmental genomes have the potential to advance understanding in a variety of fields (medicine, engineering, agriculture, sustainability, and environmental science).

The science of hope: an interview with Randy Jirtle.

In this interview, Professor Randy L Jirtle speaks with Storm Johnson, Commissioning Editor for Epigenomics, on his work on genomic imprinting, environmental epigenomics and the fetal origins of disease susceptibility. Professor Randy Jirtle joined the Duke University Department of Radiology in 1977 and headed the Epigenetics and Imprinting Laboratory until 2012. He is now Professor of Epigenetics in the Department of Biological Sciences at North Carolina State University, Raleigh, NC, USA. Jirtle's research interests are in epigenetics, genomic imprinting and the fetal origins of disease susceptibility. He is known for his groundbreaking studies linking environmental exposures early in life to the development of adult diseases through changes in the epigenome and for determining the evolutionary origin of genomic imprinting in mammals. He has published over 200 peer-reviewed articles as well as the booksLiver Regeneration andCarcinogenesis: Molecular and Cellular Mechanisms, Environmental Epigenomics in Health and Disease: Epigenetics and Disease Origins andEnvironmental Epigenomics in Health andDisease: Epigenetics and Complex Diseases. He was honored in 2006 with the Distinguished Achievement Award from the College of Engineering at the University of Wisconsin-Madison. In 2007, he was a featured scientist on the NOVA television program on epigenetics titled 'Ghost in Your Genes' and was nominated for Time Magazine's 'Person of the Year'. He was the inaugural recipient of the Epigenetic Medicine Award in 2008 and received the STARS Lecture Award in Nutrition and Cancer from the National Cancer Institute in 2009. Jirtle was presented the Linus Pauling Award from the Institute of Functional Medicine in 2014. In 2017, ShortCutsTV produced the English documentary 'Are You What Your Mother Ate? The Agouti Mouse Study' based on his pioneering epigenetic research. He received the 2018 Northern Communities Health Foundation Visiting Professorship Award at the University of Adelaide, Australia. The Personalized Lifestyle Medicine Institute presented Jirtle with the Research and Innovation Leadership Award in 2019. Dr Jirtle was also given the Alexander Hollaender Award in 2019 at the 50th annual meeting of the Environmental Mutagenesis and Genomics Society.

Insights on exposure-induced disease susceptibility: an interview with Jaclyn Goodrich.

In this interview, DrJaclyn Goodrich speaks with Storm Johnson, Commissioning Editor for Epigenomics, on her work to date on environmental epigenetics and the impact of toxic exposures on susceptible populations. Jaclyn Goodrich is a research assistant professor of environmental health sciences at the University of Michigan School of Public Health (Ann Arbor, MI, USA). She obtained a doctorate in toxicology and completed postdoctoral training in environmental epigenomics at the University of Michigan. The overarching goal of her current research program is to identify environmental factors that modify the epigenome and increase risk for disease throughout the life course. She primarily conducts epidemiological studies to investigate the impact of toxic exposures on susceptible populations including children and occupationally exposed workers. She has coauthored more than70 publications and is an active member of the Society of Toxicology and the Environmental Mutagenesis and Genomics Society.

Genomic survey of edible cockle (Cerastoderma edule) in the Northeast Atlantic: A baseline for sustainable management of its wild resources.

Knowledge on correlations between environmental factors and genome divergence between populations of marine species is crucial for sustainable management of fisheries and wild populations. The edible cockle (Cerastoderma edule) is a marine bivalve distributed along the Northeast Atlantic coast of Europe and is an important resource from both commercial and ecological perspectives. We performed a population genomics screening using 2b‐RAD genotyping on 9309 SNPs localized in the cockle's genome on a sample of 536 specimens pertaining to 14 beds in the Northeast Atlantic Ocean to analyse the genetic structure with regard to environmental variables. Larval dispersal modelling considering species behaviour and interannual/interseasonal variation in ocean conditions was carried out as an essential background to which compare genetic information. Cockle populations in the Northeast Atlantic displayed low but significant geographical differentiation between populations (F ST = 0.0240; p < 0.001), albeit not across generations. We identified 742 and 36 outlier SNPs related to divergent and balancing selection in all the geographical scenarios inspected, and sea temperature and salinity were the main environmental correlates suggested. Highly significant linkage disequilibrium was detected at specific genomic regions against the very low values observed across the whole genome. Two main genetic groups were identified, northwards and southwards of French Brittany. Larval dispersal modelling suggested a barrier for larval dispersal linked to the Ushant front that could explain these two genetic clusters. Further genetic subdivision was observed using outlier loci and considering larval advection. The northern group was divided into the Irish/Celtic Seas and the English Channel/North Sea, while the southern group was divided into three subgroups. This information represents the baseline for the management of cockles, designing conservation strategies, founding broodstock for depleted beds and producing suitable seed for aquaculture production.

Mining for novel cyclomaltodextrin glucanotransferases unravels the carbohydrate metabolism pathway via cyclodextrins in Thermoanaerobacterales

Carbohydrate metabolism via cyclodextrins (CM-CD) is an uncommon starch-converting pathway that thoroughly depends on extracellular cyclomaltodextrin glucanotransferases (CGTases) to transform the surrounding starch substrate to α-(1,4)-linked oligosaccharides and cyclodextrins (CDs). The CM-CD pathway has emerged as a convenient microbial adaptation to thrive under extreme temperatures, as CDs are functional amphipathic toroids with higher heat-resistant values than linear dextrins. Nevertheless, although the CM-CD pathway has been described in a few mesophilic bacteria and archaea, it remains obscure in extremely thermophilic prokaryotes (Topt ≥ 70 °C). Here, a new monophyletic group of CGTases with an exceptional three-domain ABC architecture was detected by (meta)genome mining of extremely thermophilic Thermoanaerobacterales living in a wide variety of hot starch-poor environments on Earth. Functional studies of a representative member, CldA, showed a maximum activity in a thermoacidophilic range (pH 4.0 and 80 °C) with remarkable product diversification that yielded a mixture of α:β:γ-CDs (34:62:4) from soluble starch, as well as G3–G7 linear dextrins and fermentable sugars as the primary products. Together, comparative genomics and predictive functional analysis, combined with data of the functionally characterized key proteins of the gene clusters encoding CGTases, revealed the CM-CD pathway in Thermoanaerobacterales and showed that it is involved in the synthesis, transportation, degradation, and metabolic assimilation of CDs.

Building Environmental Health and Genomics Literacy among Healthcare Providers Serving Vulnerable Communities: An Innovative Educational Framework.

This study addresses healthcare providers’ knowledge deficits in environmental health and genetics, and primarily focuses on student nurses and nurses serving marginalized, low-income communities frequently exposed to environmental toxicants. Our approach to improve public health is unique, combining hands-on modeling exercises with case-based lessons in addition to three targeted 40 min lectures on toxicology. These lectures included the team’s community-based environmental health research among Indigenous peoples of the U.S. The hands-on approach employed DNA and protein molecular models designed to demonstrate normal and dysfunctional molecules, as well as genetic variants in world populations. The models provided learners with visuals and an experience of “learning by doing.” Increased awareness of the effects of environmental toxicants is the first step toward improving health care for exposed communities. We measured knowledge gains by pre- and post-tests among student nurses and nurses serving Native Americans living both in urban and rural areas of the U.S. (n = 116). The modeling lessons illustrated genetic variants in liver proteins common in Native peoples and their resulting health vulnerabilities. Participants were engaged and enthusiastic; and pre- and post-test results reported substantial knowledge gains and a greater understanding of genetic susceptibility (p < 0.0001). Our study demonstrates the utility of this framework across diverse populations and remote communities.

Comparative meta-omics for identifying pathogens associated with prosthetic joint infection

Prosthetic joint infections (PJI) are economically and personally costly, and their incidence has been increasing in the United States. Herein, we compared 16S rRNA amplicon sequencing (16S), shotgun metagenomics (MG) and metatranscriptomics (MT) in identifying pathogens causing PJI. Samples were collected from 30 patients, including 10 patients undergoing revision arthroplasty for infection, 10 patients receiving revision for aseptic failure, and 10 patients undergoing primary total joint arthroplasty. Synovial fluid and peripheral blood samples from the patients were obtained at time of surgery. Analysis revealed distinct microbial communities between primary, aseptic, and infected samples using MG, MT, (PERMANOVA p = 0.001), and 16S sequencing (PERMANOVA p < 0.01). MG and MT had higher concordance with culture (83%) compared to 0% concordance of 16S results. Supervised learning methods revealed MT datasets most clearly differentiated infected, primary, and aseptic sample groups. MT data also revealed more antibiotic resistance genes, with improved concordance results compared to MG. These data suggest that a differential and underlying microbial ecology exists within uninfected and infected joints. This study represents the first application of RNA-based sequencing (MT). Further work on larger cohorts will provide opportunities to employ deep learning approaches to improve accuracy, predictive power, and clinical utility.

Can moderate heavy metal soil contaminations due to cement production influence the surrounding soil bacterial communities?

Events of soil contamination by heavy metals are mostly related to human activities that release these metals into the environment as emissions or effluents. Among the industrial activities related to heavy metal pollution, cement production plants are considered one of the most common sources. In this work we applied the High-throughput sequencing approach called 16 S rDNA metabarcoding to perform the taxonomic characterization of the prokaryotic communities of the soil surrounding three cement plants as well as two areas outside the influence of the cement plants that represented agricultural production environments free of heavy metal contamination (control areas). We applied the environmental genomics approaches known as "structural community metrics" (α- and β-diversity metrics) and "functional community metrics" (PICRUSt2 approach) to verify whether or not the effects of heavy metal contamination in the study area generated impacts on soil bacterial communities. We found that the impact related to the elevation of heavy metal concentration due to the operation of cement plants in the surrounding soil can be considered smooth according to globally recognized indices such as Igeo. However, we identified that both the taxonomic and functional structures of the communities surrounding cement plants were different from those found in the control areas. We consider that our findings contribute significantly to the general understanding of the effects of heavy metals on the soil ecosystem by showing that light contamination can disturb the dynamics of ecosystem services provided by soil, specifically those associated with microbial metabolism.

Discovery of nondiazotrophic Trichodesmium species abundant and widespread in the open ocean

Filamentous and colony-forming cells within the cyanobacterial genus Trichodesmium might account for nearly half of nitrogen fixation in the sunlit ocean, a critical mechanism that sustains plankton's primary productivity. Trichodesmium has long been portrayed as a diazotrophic genus. By means of genome-resolved metagenomics, here we reveal that nondiazotrophic Trichodesmium species not only exist but also are abundant and widespread in the open ocean, benefiting from a previously overlooked functional lifestyle to expand the biogeography of this prominent marine genus. Near-complete environmental genomes for those closely related candidate species reproducibly shared functional features including a lack of genes related to nitrogen fixation, hydrogen recycling, and hopanoid lipid production concomitant with the enrichment of nitrogen assimilation genes. Our results elucidate fieldwork observations of Trichodesmium cells fixing carbon but not nitrogen. The Black Queen hypothesis and burden of low-oxygen concentration requirements provide a rationale to explain gene loss linked to nitrogen fixation among Trichodesmium species. Disconnecting taxonomic signal for this genus from a microbial community's ability to fix nitrogen will help refine our understanding of the marine nitrogen balance. Finally, we are reminded that established links between taxonomic lineages and functional traits do not always hold true.

SquiggleNet: real-time, direct classification of nanopore signals

We present SquiggleNet, the first deep-learning model that can classify nanopore reads directly from their electrical signals. SquiggleNet operates faster than DNA passes through the pore, allowing real-time classification and read ejection. Using 1 s of sequencing data, the classifier achieves significantly higher accuracy than base calling followed by sequence alignment. Our approach is also faster and requires an order of magnitude less memory than alignment-based approaches. SquiggleNet distinguished human from bacterial DNA with over 90% accuracy, generalized to unseen bacterial species in a human respiratory meta genome sample, and accurately classified sequences containing human long interspersed repeat elements.

Imaging Techniques for Detecting Prokaryotic Viruses in Environmental Samples.

Viruses are the most abundant biological entities on Earth with an estimate of 1031 viral particles across all ecosystems. Prokaryotic viruses—bacteriophages and archaeal viruses—influence global biogeochemical cycles by shaping microbial communities through predation, through the effect of horizontal gene transfer on the host genome evolution, and through manipulating the host cellular metabolism. Imaging techniques have played an important role in understanding the biology and lifestyle of prokaryotic viruses. Specifically, structure-resolving microscopy methods, for example, transmission electron microscopy, are commonly used for understanding viral morphology, ultrastructure, and host interaction. These methods have been applied mostly to cultivated phage–host pairs. However, recent advances in environmental genomics have demonstrated that the majority of viruses remain uncultivated, and thus microscopically uncharacterized. Although light- and structure-resolving microscopy of viruses from environmental samples is possible, quite often the link between the visualization and the genomic information of uncultivated prokaryotic viruses is missing. In this minireview, we summarize the current state of the art of imaging techniques available for characterizing viruses in environmental samples and discuss potential links between viral imaging and environmental genomics for shedding light on the morphology of uncultivated viruses and their lifestyles in Earth’s ecosystems.

Late Quaternary dynamics of Arctic biota from ancient environmental genomics

During the last glacial–interglacial cycle, Arctic biotas experienced substantial climatic changes, yet the nature, extent and rate of their responses are not fully understood1–8. Here we report a large-scale environmental DNA metagenomic study of ancient plant and mammal communities, analysing 535 permafrost and lake sediment samples from across the Arctic spanning the past 50,000 years. Furthermore, we present 1,541 contemporary plant genome assemblies that were generated as reference sequences. Our study provides several insights into the long-term dynamics of the Arctic biota at the circumpolar and regional scales. Our key findings include: (1) a relatively homogeneous steppe–tundra flora dominated the Arctic during the Last Glacial Maximum, followed by regional divergence of vegetation during the Holocene epoch; (2) certain grazing animals consistently co-occurred in space and time; (3) humans appear to have been a minor factor in driving animal distributions; (4) higher effective precipitation, as well as an increase in the proportion of wetland plants, show negative effects on animal diversity; (5) the persistence of the steppe–tundra vegetation in northern Siberia enabled the late survival of several now-extinct megafauna species, including the woolly mammoth until 3.9 ± 0.2 thousand years ago (ka) and the woolly rhinoceros until 9.8 ± 0.2 ka; and (6) phylogenetic analysis of mammoth environmental DNA reveals a previously unsampled mitochondrial lineage. Our findings highlight the power of ancient environmental metagenomics analyses to advance understanding of population histories and long-term ecological dynamics.

Considerations on the Identity and Diversity of Organisms Affiliated with Sphingobacterium multivorum-Proposal for a New Species, Sphingobacterium paramultivorum.

Plant biomass offers great potential as a sustainable resource, and microbial consortia are primordial in its bioconversion. The wheat-straw-biodegradative bacterial strain w15 has drawn much attention as a result of its biodegradative potential and superior degradation performance in bacterial-fungal consortia. Strain w15 was originally assigned to the species Sphingobacterium multivorum based on its 16S ribosomal RNA (rRNA) gene sequence. A closer examination of this taxonomic placement revealed that the sequence used has 98.9% identity with the ‘divergent’ 16S rRNA gene sequence of S. multivorum NCTC 11343T, yet lower relatedness with the canonical 16S rRNA sequence. A specific region of the gene, located between positions 186 and 210, was found to be highly variable and determinative for the divergence. To solve the identity of strain w15, genome metrics and analyses of ecophysiological niches were undertaken on a selection of strains assigned to S. multivorum and related species. These analyses separated all strains into three clusters, with strain w15, together with strain BIGb0170, constituting a separate radiation, next to S. multivorum and S. siyangense. Moreover, the strains denoted FDAARGOS 1141 and 1142 were placed inside S. siyangense. We propose the renaming of strains w15 and BIGb0170 as members of the novel species, coined Sphingobacterium paramultivorum.

Abstracts from the Environmental Mutagenesis and Genomics Society 52nd Annual Meeting, September 22-25, 2021, Virtual Meeting - Real Science Program Chair: Jeff Bemis, PhD New Investigator Co-Chair: Isabelle R. Miousse, PhD.

Environmental and Molecular MutagenesisVolume 62, Issue S1 p. 1-95 AbstractsFree Access Abstracts from the Environmental Mutagenesis and Genomics Society 52nd Annual Meeting, September 22–25, 2021, Virtual Meeting - Real Science Program Chair: Jeff Bemis, PhD New Investigator Co-Chair: Isabelle R. Miousse, PhD First published: 24 August 2021 https://doi.org/10.1002/em.22458AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Volume62, IssueS1Environmental Mutagenesis and Genomics Society 52nd Annual Meeting, September 22–25, 2021, Virtual Meeting ‐ Real Science Program Chair: Jeff Bemis, PhD New Investigator Co‐Chair: Isabelle R. Miousse, PhDSeptember 2021Pages 1-95 RelatedInformation