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24 results on '"Eric Pelletier"'

1. A refined picture of the native amine dehydrogenase family revealed by extensive biodiversity screening

Author

Eddy Elisée, Laurine Ducrot, Raphaël Méheust, Karine Bastard, Aurélie Fossey-Jouenne, Gideon Grogan, Eric Pelletier, Jean-Louis Petit, Mark Stam, Véronique de Berardinis, Anne Zaparucha, David Vallenet, and Carine Vergne-Vaxelaire

Subjects
Science
Abstract

Abstract Native amine dehydrogenases offer sustainable access to chiral amines, so the search for scaffolds capable of converting more diverse carbonyl compounds is required to reach the full potential of this alternative to conventional synthetic reductive aminations. Here we report a multidisciplinary strategy combining bioinformatics, chemoinformatics and biocatalysis to extensively screen billions of sequences in silico and to efficiently find native amine dehydrogenases features using computational approaches. In this way, we achieve a comprehensive overview of the initial native amine dehydrogenase family, extending it from 2,011 to 17,959 sequences, and identify native amine dehydrogenases with non-reported substrate spectra, including hindered carbonyls and ethyl ketones, and accepting methylamine and cyclopropylamine as amine donor. We also present preliminary model-based structural information to inform the design of potential (R)-selective amine dehydrogenases, as native amine dehydrogenases are mostly (S)-selective. This integrated strategy paves the way for expanding the resource of other enzyme families and in highlighting enzymes with original features.

Published
2024
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2. Genomic adaptation of giant viruses in polar oceans

Author

Lingjie Meng, Tom O. Delmont, Morgan Gaïa, Eric Pelletier, Antonio Fernàndez-Guerra, Samuel Chaffron, Russell Y. Neches, Junyi Wu, Hiroto Kaneko, Hisashi Endo, and Hiroyuki Ogata

Subjects
Science
Abstract

Abstract Despite being perennially frigid, polar oceans form an ecosystem hosting high and unique biodiversity. Various organisms show different adaptive strategies in this habitat, but how viruses adapt to this environment is largely unknown. Viruses of phyla Nucleocytoviricota and Mirusviricota are groups of eukaryote-infecting large and giant DNA viruses with genomes encoding a variety of functions. Here, by leveraging the Global Ocean Eukaryotic Viral database, we investigate the biogeography and functional repertoire of these viruses at a global scale. We first confirm the existence of an ecological barrier that clearly separates polar and nonpolar viral communities, and then demonstrate that temperature drives dramatic changes in the virus–host network at the polar–nonpolar boundary. Ancestral niche reconstruction suggests that adaptation of these viruses to polar conditions has occurred repeatedly over the course of evolution, with polar-adapted viruses in the modern ocean being scattered across their phylogeny. Numerous viral genes are specifically associated with polar adaptation, although most of their homologues are not identified as polar-adaptive genes in eukaryotes. These results suggest that giant viruses adapt to cold environments by changing their functional repertoire, and this viral evolutionary strategy is distinct from the polar adaptation strategy of their hosts.

Published
2023
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3. Linking extreme seasonality and gene expression in Arctic marine protists

Author

Magdalena Wutkowska, Anna Vader, Ramiro Logares, Eric Pelletier, and Tove M. Gabrielsen

Subjects
Medicine, Science
Abstract

Abstract At high latitudes, strong seasonal differences in light availability affect marine organisms and regulate the timing of ecosystem processes. Marine protists are key players in Arctic aquatic ecosystems, yet little is known about their ecological roles over yearly cycles. This is especially true for the dark polar night period, which up until recently was assumed to be devoid of biological activity. A 12 million transcripts catalogue was built from 0.45 to 10 μm protist assemblages sampled over 13 months in a time series station in an Arctic fjord in Svalbard. Community gene expression was correlated with seasonality, with light as the main driving factor. Transcript diversity and evenness were higher during polar night compared to polar day. Light-dependent functions had higher relative expression during polar day, except phototransduction. 64% of the most expressed genes could not be functionally annotated, yet up to 78% were identified in Arctic samples from Tara Oceans, suggesting that Arctic marine assemblages are distinct from those from other oceans. Our study increases understanding of the links between extreme seasonality and biological processes in pico- and nanoplanktonic protists. Our results set the ground for future monitoring studies investigating the seasonal impact of climate change on the communities of microbial eukaryotes in the High Arctic.

Published
2023
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4. Explainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec.

Author

Fatemeh Gholi Zadeh Kharrat, Christian Gagne, Alain Lesage, Geneviève Gariépy, Jean-François Pelletier, Camille Brousseau-Paradis, Louis Rochette, Eric Pelletier, Pascale Lévesque, Mada Mohammed, and JianLi Wang

Subjects
Medicine, Science
Abstract

Suicide is a complex, multidimensional event, and a significant challenge for prevention globally. Artificial intelligence (AI) and machine learning (ML) have emerged to harness large-scale datasets to enhance risk detection. In order to trust and act upon the predictions made with ML, more intuitive user interfaces must be validated. Thus, Interpretable AI is one of the crucial directions which could allow policy and decision makers to make reasonable and data-driven decisions that can ultimately lead to better mental health services planning and suicide prevention. This research aimed to develop sex-specific ML models for predicting the population risk of suicide and to interpret the models. Data were from the Quebec Integrated Chronic Disease Surveillance System (QICDSS), covering up to 98% of the population in the province of Quebec and containing data for over 20,000 suicides between 2002 and 2019. We employed a case-control study design. Individuals were considered cases if they were aged 15+ and had died from suicide between January 1st, 2002, and December 31st, 2019 (n = 18339). Controls were a random sample of 1% of the Quebec population aged 15+ of each year, who were alive on December 31st of each year, from 2002 to 2019 (n = 1,307,370). We included 103 features, including individual, programmatic, systemic, and community factors, measured up to five years prior to the suicide events. We trained and then validated the sex-specific predictive risk model using supervised ML algorithms, including Logistic Regression (LR), Random Forest (RF), Extreme Gradient Boosting (XGBoost) and Multilayer perceptron (MLP). We computed operating characteristics, including sensitivity, specificity, and Positive Predictive Value (PPV). We then generated receiver operating characteristic (ROC) curves to predict suicides and calibration measures. For interpretability, Shapley Additive Explanations (SHAP) was used with the global explanation to determine how much the input features contribute to the models' output and the largest absolute coefficients. The best sensitivity was 0.38 with logistic regression for males and 0.47 with MLP for females; the XGBoost Classifier with 0.25 for males and 0.19 for females had the best precision (PPV). This study demonstrated the useful potential of explainable AI models as tools for decision-making and population-level suicide prevention actions. The ML models included individual, programmatic, systemic, and community levels variables available routinely to decision makers and planners in a public managed care system. Caution shall be exercised in the interpretation of variables associated in a predictive model since they are not causal, and other designs are required to establish the value of individual treatments. The next steps are to produce an intuitive user interface for decision makers, planners and other stakeholders like clinicians or representatives of families and people with live experience of suicidal behaviors or death by suicide. For example, how variations in the quality of local area primary care programs for depression or substance use disorders or increased in regional mental health and addiction budgets would lower suicide rates.

Published
2024
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5. Genomic adaptation of the picoeukaryote Pelagomonas calceolata to iron-poor oceans revealed by a chromosome-scale genome sequence

Author

Nina Guérin, Marta Ciccarella, Elisa Flamant, Paul Frémont, Sophie Mangenot, Benjamin Istace, Benjamin Noel, Caroline Belser, Laurie Bertrand, Karine Labadie, Corinne Cruaud, Sarah Romac, Charles Bachy, Martin Gachenot, Eric Pelletier, Adriana Alberti, Olivier Jaillon, Patrick Wincker, Jean-Marc Aury, and Quentin Carradec

Subjects
Biology (General), QH301-705.5
Abstract

Genomic inference reveals potential climate change-driven range expansion of the phytoplankton species Pelagomonas calceolata.

Published
2022
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6. Genomic evidence for global ocean plankton biogeography shaped by large-scale current systems

Author

Daniel J Richter, Romain Watteaux, Thomas Vannier, Jade Leconte, Paul Frémont, Gabriel Reygondeau, Nicolas Maillet, Nicolas Henry, Gaëtan Benoit, Ophélie Da Silva, Tom O Delmont, Antonio Fernàndez-Guerra, Samir Suweis, Romain Narci, Cédric Berney, Damien Eveillard, Frederick Gavory, Lionel Guidi, Karine Labadie, Eric Mahieu, Julie Poulain, Sarah Romac, Simon Roux, Céline Dimier, Stefanie Kandels, Marc Picheral, Sarah Searson, Tara Oceans Coordinators, Stéphane Pesant, Jean-Marc Aury, Jennifer R Brum, Claire Lemaitre, Eric Pelletier, Peer Bork, Shinichi Sunagawa, Fabien Lombard, Lee Karp-Boss, Chris Bowler, Matthew B Sullivan, Eric Karsenti, Mahendra Mariadassou, Ian Probert, Pierre Peterlongo, Patrick Wincker, Colomban de Vargas, Maurizio Ribera d'Alcalà, Daniele Iudicone, and Olivier Jaillon

Subjects
plankton biogeography, metagenomics, metabarcoding, microbial oceanography, Medicine, Science, Biology (General), QH301-705.5
Abstract

Biogeographical studies have traditionally focused on readily visible organisms, but recent technological advances are enabling analyses of the large-scale distribution of microscopic organisms, whose biogeographical patterns have long been debated. Here we assessed the global structure of plankton geography and its relation to the biological, chemical, and physical context of the ocean (the ‘seascape’) by analyzing metagenomes of plankton communities sampled across oceans during the Tara Oceans expedition, in light of environmental data and ocean current transport. Using a consistent approach across organismal sizes that provides unprecedented resolution to measure changes in genomic composition between communities, we report a pan-ocean, size-dependent plankton biogeography overlying regional heterogeneity. We found robust evidence for a basin-scale impact of transport by ocean currents on plankton biogeography, and on a characteristic timescale of community dynamics going beyond simple seasonality or life history transitions of plankton.

Published
2022
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8. Establishing the ELIXIR Microbiome Community [version 1; peer review: awaiting peer review]

Author

Robert D. Finn, Bachir Balech, Josephine Burgin, Physilia Chua, Erwan Corre, Cymon J. Cox, Claudio Donati, Vitor Martins dos Santos, Bruno Fosso, John Hancock, Katharina F. Heil, Naveed Ishaque, Varsha Kale, Benoit J. Kunath, Claudine Médigue, Evangelos Pafilis, Graziano Pesole, Lorna Richardson, Monica Santamaria, Tim Van Den Bossche, Juan Antonio Vizcaíno, Haris Zafeiropoulos, Nils P. Willassen, Eric Pelletier, and Bérénice Batut

Subjects
Opinion Article, Articles, Microbiome, ELIXIR Community, White Paper
Abstract

Microbiome research has grown substantially over the past decade in terms of the range of biomes sampled, identified taxa, and the volume of data derived from the samples. In particular, experimental approaches such as metagenomics, metabarcoding, metatranscriptomics and metaproteomics have provided profound insights into the vast, hitherto unknown, microbial biodiversity. The ELIXIR Marine Metagenomics Community, initiated amongst researchers focusing on marine microbiomes, has concentrated on promoting standards around microbiome-derived sequence analysis, as well as understanding the gaps in methods and reference databases, and solutions to computational overheads of performing such analyses. Nevertheless, the methods used and the challenges faced are not confined to marine studies, but are broadly applicable to all other biomes. Thus, expanding this Community to a more inclusive ELIXIR Microbiome Community will enable it to encompass a broad range of biomes and link expertise across ‘omics technologies. Furthermore, engaging with a large number of researchers will improve the efficiency and sustainability of bioinformatics infrastructure and resources for microbiome research (standards, data, tools, workflows, training), which will enable a deeper understanding of the function and taxonomic composition of the different microbial communities.

Published
2024
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9. The Ocean Gene Atlas v2.0: online exploration of the biogeography and phylogeny of plankton genes.

Author

Caroline Vernette, Julien Lecubin, Pablo Sánchez, Silvia G. Acinas, Marcel Babin, Peer Bork, Emmanuel Boss, Chris Bowler, Guy Cochrane, Colomban de Vargas, Gabriel Gorsky, Lionel Guidi, Nigel Grimsley, Pascal Hingamp, Daniele Iudicone, Olivier Jaillon, Stefanie Kandels-Lewis, Lee Karp-Boss, Eric Karsenti, Fabrice Not, Hiroyuki Ogata, Nicole Poulton, Stephane Pesant, Christian Sardet, Sabrina Speich, Lars Stemmann, Matthew B. Sullivan, Shinichi Sunagawa, Patrick Wincker, Tom O. Delmont, Eric Pelletier, and Magali Lescot

Published
2022
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10. Mirusviruses link herpesviruses to giant viruses

Author

Morgan Gaïa, Lingjie Meng, Eric Pelletier, Patrick Forterre, Chiara Vanni, Antonio Fernandez-Guerra, Olivier Jaillon, Patrick Wincker, Hiroyuki Ogata, Mart Krupovic, Tom O. Delmont, Génomique métabolique (UMR 8030), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Global Oceans Systems Ecology & Evolution - Tara Oceans (GOSEE), Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Aix Marseille Université (AMU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Université de Toulon (UTLN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche pour le Développement (IRD [France-Nord])-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-European Molecular Biology Laboratory (EMBL)-École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Université australe du Chili, Kyoto University, Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Département de Microbiologie - Department of Microbiology, Institut Pasteur [Paris] (IP)-Université Paris Cité (UPCité), Universität Bremen, University of Copenhagen = Københavns Universitet (UCPH), Virologie des archées - Archaeal Virology, Université Paris Cité (UPCité)-Microbiologie Intégrative et Moléculaire (UMR6047), Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), This study was supported in part by FRANCE GENOMIQUE (ANR-10-INBS-09), the Japan Society for the Promotion of Science KAKENHI (18H02279 and 22H00384), the Research Unit for Development of Global Sustainability, Kyoto University Research Coordination Alliance, and the International Collaborative Research Program of the Institute for Chemical Research, Kyoto University (2022-26, 2021-29 and 2020-28). M.K. was supported by grants from the l’Agence Nationale de la Recherche (ANR-20-CE20-0009-02 and ANR-21-CE11-0001-01), M.G. was supported by ANR ALGALVIRUS ANR-17-CE02-0012, and T.O.D. was supported by ANR HYDROGEN ANR-14-CE23-0001., ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), ANR-20-CE20-0009,VIROMET,Devoiler le virome des archées methanogenes(2020), ANR-21-CE11-0001,ArcFus,Protéines de classe II de fusion membranaire chez les archées(2021), ANR-17-CE02-0012,ALGALVIRUS,Adaptations Génomique des Algues Marines aux Virus(2017), and ANR-14-CE23-0001,HydroGen,Metagenomique comparative comme instrument de mesure pour la biodiversité. Application à l'étude de la vie dans les océans(2014)

Subjects
Marine biology, Phylogenetics, Multidisciplinary, [SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology, Metagenomics, Evolutionary genetics, Viral genetics
Abstract

DNA viruses have a major influence on the ecology and evolution of cellular organisms, but their overall diversity and evolutionary trajectories remain elusive. Here we carried out a phylogeny-guided genome-resolved metagenomic survey of the sunlit oceans and discovered plankton-infecting relatives of herpesviruses that form a putative new phylum dubbed Mirusviricota. The virion morphogenesis module of this large monophyletic clade is typical of viruses from the realm Duplodnaviria, with multiple components strongly indicating a common ancestry with animal-infecting Herpesvirales. Yet, a substantial fraction of mirusvirus genes, including hallmark transcription machinery genes missing in herpesviruses, are closely related homologues of giant eukaryotic DNA viruses from another viral realm, Varidnaviria. These remarkable chimaeric attributes connecting Mirusviricota to herpesviruses and giant eukaryotic viruses are supported by more than 100 environmental mirusvirus genomes, including a near-complete contiguous genome of 432 kilobases. Moreover, mirusviruses are among the most abundant and active eukaryotic viruses characterized in the sunlit oceans, encoding a diverse array of functions used during the infection of microbial eukaryotes from pole to pole. The prevalence, functional activity, diversification and atypical chimaeric attributes of mirusviruses point to a lasting role of Mirusviricota in the ecology of marine ecosystems and in the evolution of eukaryotic DNA viruses., 新規ウイルス門の発見 --ヘルペスウイルスの起源の解明に寄与--. 京都大学プレスリリース. 2023-04-20.

Published
2023
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11. PhotoEukStein: Towards an omics-based definition of unicellular eukaryote phototrophs functional traits via metabolic modelling

Author

Marie Burel, Antoine Régimbeau, Samuel Chaffron, Damien Eveillard, and Eric Pelletier

Abstract

Defining biological functional traits for unicellular organisms relies on comprehending the set and combination of the biochemical reactions their genomes encode for. This network of biochemical reactions defines the metabolic strategy organisms and communities used to grow in a given environment. While prokaryotes have been the ideal target for reconstructing and analysing these metabolic networks, eukaryotes lagged behind due to the complexity of their genomes and the paucity of knowledge on their metabolism.Here, we developed PhotoEukstein, a meta-metabolic model for unicellular phototroph eukaryotes allowing a fast and automated top-down derivation of Genome-Scale Metabolic models directly from genomes. We applied it to a diverse collection of 559 environmental genomes and transcriptomes of marine eukaryote unicellular plankton.We show these models allow to predict functional traits that cannot be purely deducted from taxonomic information or listing of metabolic reactions encoded by the genome. They provide the opportunity to build connections with Earth System Models to pinpoint environmental parameters needed to parametrise specific functional traits.

Published
2023
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12. Genomic adaptation of the picoeukaryote $Pelagomonas\ calceolata$ to iron-poor oceans revealed by a chromosome-scale genome sequence

Author

Nina Guérin, Marta Ciccarella, Elisa Flamant, Paul Frémont, Sophie Mangenot, Benjamin Istace, Benjamin Noel, Caroline Belser, Laurie Bertrand, Karine Labadie, Corinne Cruaud, Sarah Romac, Charles Bachy, Martin Gachenot, Eric Pelletier, Adriana Alberti, Olivier Jaillon, Patrick Wincker, Jean-Marc Aury, Quentin Carradec, Génomique métabolique (UMR 8030), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Global Oceans Systems Ecology & Evolution - Tara Oceans (GOSEE), Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Aix Marseille Université (AMU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Université de Toulon (UTLN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche pour le Développement (IRD [France-Nord])-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-European Molecular Biology Laboratory (EMBL)-École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Université australe du Chili, Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Thank the Tara Expedition Foundation and their partners for the organization of marine scientific expeditions (http://oceans.taraexpeditions.org), ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), and ANR-11-BTBR-0008,OCEANOMICS,Biotechnologies et bioressources pour la valorisation des écosystèmes marins planctoniques(2011)

Subjects
Nitrates, Acclimatization, Iron, Oceans and Seas, Medicine (miscellaneous), Genomics, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Chromosomes, General Biochemistry, Genetics and Molecular Biology, [SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Phytoplankton, General Agricultural and Biological Sciences, Stramenopiles
Abstract

The smallest phytoplankton species are key actors in oceans biogeochemical cycling and their abundance and distribution are affected with global environmental changes. Among them, algae of the Pelagophyceae class encompass coastal species causative of harmful algal blooms while others are cosmopolitan and abundant. The lack of genomic reference in this lineage is a main limitation to study its ecological importance. Here, we analysed Pelagomonas calceolata relative abundance, ecological niche and potential for the adaptation in all oceans using a complete chromosome-scale assembled genome sequence. Our results show that P. calceolata is one of the most abundant eukaryotic species in the oceans with a relative abundance favoured by high temperature, low-light and iron-poor conditions. Climate change projections based on its relative abundance suggest an extension of the P. calceolata habitat toward the poles at the end of this century. Finally, we observed a specific gene repertoire and expression level variations potentially explaining its ecological success in low-iron and low-nitrate environments. Collectively, these findings reveal the ecological importance of P. calceolata and lay the foundation for a global scale analysis of the adaptation and acclimation strategies of this small phytoplankton in a changing environment.

Published
2022
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13. Genomic differentiation of three pico‐phytoplankton species in the Mediterranean Sea

Author

Ophélie Da Silva, Sakina‐Dorothée Ayata, Enrico Ser‐Giacomi, Jade Leconte, Eric Pelletier, Cécile Fauvelot, Mohammed‐Amin Madoui, Lionel Guidi, Fabien Lombard, Lucie Bittner, Laboratoire d'océanographie de Villefranche (LOV), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Génomique métabolique (UMR 8030), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Institut de Biologie François JACOB (JACOB), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Sorbonne Université (SU), Institut de Systématique, Evolution, Biodiversité (ISYEB ), Muséum national d'Histoire naturelle (MNHN)-École Pratique des Hautes Études (EPHE), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)

Subjects
[SDV.EE]Life Sciences [q-bio]/Ecology, environment, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE], [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, [SDV.BID]Life Sciences [q-bio]/Biodiversity, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Microbiology, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [SDV.MP.PRO]Life Sciences [q-bio]/Microbiology and Parasitology/Protistology, Ecology, Evolution, Behavior and Systematics, [SDV.EE.IEO]Life Sciences [q-bio]/Ecology, environment/Symbiosis
Abstract

International audience; For more than a decade, high-throughput sequencing has transformed the study of marine planktonic communities and has highlighted the extent of protist diversity in these ecosystems. Nevertheless, little is known relative to their genomic diversity at the species-scale as well as their major speciation mechanisms. An increasing number of data obtained from global scale sampling campaigns is becoming publicly available, and we postulate that metagenomic data could contribute to deciphering the processes shaping protist genomic differentiation in the marine realm. As a proof of concept, we developed a findable, accessible, interoperable and reusable (FAIR) pipeline and focused on the Mediterranean Sea to study three a priori abundant protist species: Bathycoccus prasinos, Pelagomonas calceolata and Phaeocystis cordata. We compared the genomic differentiation of each species in light of geographic, environmental and oceanographic distances. We highlighted that isolation-byenvironment shapes the genomic differentiation of B. prasinos, whereas P. cordata is impacted by geographic distance (i.e. isolation-by-distance). At present time, the use of metagenomics to accurately estimate the genomic differentiation of protists remains challenging since coverages are lower compared to traditional population surveys. However, our approach sheds light on ecological and evolutionary processes occurring within natural marine populations and paves the way for future protist population metagenomic studies.

Published
2022
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14. Convergent evolution and horizontal gene transfer in Arctic Ocean microalgae

Author

Richard G Dorrell, Alan Kuo, Zoltan Füssy, Elisabeth H Richardson, Asaf Salamov, Nikola Zarevski, Nastasia J Freyria, Federico M Ibarbalz, Jerry Jenkins, Juan Jose Pierella Karlusich, Andrei Stecca Steindorff, Robyn E Edgar, Lori Handley, Kathleen Lail, Anna Lipzen, Vincent Lombard, John McFarlane, Charlotte Nef, Anna MG Novák Vanclová, Yi Peng, Chris Plott, Marianne Potvin, Fabio Rocha Jimenez Vieira, Kerrie Barry, Colomban de Vargas, Bernard Henrissat, Eric Pelletier, Jeremy Schmutz, Patrick Wincker, Joel B Dacks, Chris Bowler, Igor V Grigoriev, Connie Lovejoy, Institut de biologie de l'ENS Paris (IBENS), Département de Biologie - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Charles University [Prague] (CU), University of Alberta, Université Laval [Québec] (ULaval), HudsonAlpha Genome Sequencing Center, University of Alabama in Huntsville (UAH), Architecture et fonction des macromolécules biologiques (AFMB), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), King Abdulaziz University, Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), ANR-21-CE02-0014,PanArctica,Caractérisation phylogénétique, écologique et physiologique de le pan-génome des algues Arctiques(2021), and ANR-22-ERCS-0018,ChloroMosaic,Caractérisation moléculaire du réussite environnemental de la chloroplaste secondaire rouge(2022)

Subjects
Ecology, Bacteria, Arctic Regions, Health, Toxicology and Mutagenesis, Oceans and Seas, Gene Transfer, Plant Science, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Biochemistry, Genetics and Molecular Biology (miscellaneous), Horizontal, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, Microalgae, Ice Cover, Life Below Water
Abstract

Microbial communities in the world ocean are affected strongly by oceanic circulation, creating characteristic marine biomes. The high connectivity of most of the ocean makes it difficult to disentangle selective retention of colonizing genotypes (with traits suited to biome specific conditions) from evolutionary selection, which would act on founder genotypes over time. The Arctic Ocean is exceptional with limited exchange with other oceans and ice covered since the last ice age. To test whether Arctic microalgal lineages evolved apart from algae in the global ocean, we sequenced four lineages of microalgae isolated from Arctic waters and sea ice. Here we show convergent evolution and highlight geographically limited HGT as an ecological adaptive force in the form of PFAM complements and horizontal acquisition of key adaptive genes. Notably, ice-binding proteins were acquired and horizontally transferred among Arctic strains. A comparison withTaraOceans metagenomes and metatranscriptomes confirmed mostly Arctic distributions of these IBPs. The phylogeny of Arctic-specific genes indicated that these events were independent of bacterial-sourced HGTs in Antarctic Southern Ocean microalgae.

Published
2022
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15. Changes in functional composition and gene expression in eukaryotic plankton at the Atlantic-Arctic Polar front

Author

Paul Frémont, Corinne Da Silva, Lucia Campese, Émilie Villar, Achal Rastogi, Jean-Marc Aury, Chris Bowler, Lee Karp Boss, Patrick Wincker, Eric Pelletier, Marion Gehlen, Daniele Iudicone, and Olivier Jaillon

Abstract

Planktonic communities are shaped by ocean currents and participate in multiple global biogeochemical cycles. Unraveling how the functions of communities respond to strong environmental gradients will improve our understanding of the interactions between climate change and marine ecosystems. Here, we investigate changes in functions and gene expression of eukaryotic plankton transiting between the North Atlantic Ocean (NAO) in winter and the Arctic Ocean (AO) in spring/summer using metatranscriptomes and metagenomes fromTaraOceans. In Arctic communities, functions involved in maintaining the protein pool and translation machinery appear to be more active. Four major phylogenetically distant algal groups are abundant in both basins and show similar strategies at transcriptional level, including increased expression of some functions related to cold acclimation. These results shade lights on gene expression strategies shared by cosmopolitan phototrophs of widely separated lineages.

Published
2022
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16. Author Reply to Peer Reviews of Convergent evolution and horizontal gene transfer in Arctic Ocean microalgae

Author

Richard G Dorrell, Alan Kuo, Zoltan Fussy, Elisabeth H Richardson, Asaf Salamov, Nikola Zarevski, Nastasia J Freyria, Federico M Ibarbalz, Jerry Jenkins, Juan J Pierella Karlusich, Andrei Stecca Steindorff, Robyn E Edgar, Lori Howell Handley, Kathleen Lail, Anna Lipzen, Vincent Lombard, John McFarlane, Charlotte Nef, Anna MG Novak Vanclova, Yi Peng, Chris Plott, Marianne Potvin, FABIO RJ Vieira, Kerrie Barry, Colomban de Vargas, Bernard Henrissat, Eric Pelletier, Jeremy Schmutz, Patrick Wincker, Joel B. Dacks, Chris Bowler, Igor Vasilij Grigoriev, and Connie Lovejoy

Published
2022
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17. Late Pennsylvanian–Early Permian Tectonically Driven Stratigraphic Sequences and Carbonate Sedimentation Along Northern Margin of Sverdrup Basin (Otto Fiord Depression, Arctic Canada)

Author

Benoit Beauchamp, Daniel Calvo González, Charles M. Henderson, Daria V. Baranova, Hanyue Wang, and Eric Pelletier

Abstract

A thick succession of upper Paleozoic carbonate rocks and minor chert crops out north of the head of Otto Fiord (northwest [NW] Ellesmere Island, Nunavut) in the Canadian Arctic Archipelago. These rocks accumulated in a tectonic subbasin—the Otto Fiord Depression (OFD)—of the Sverdrup Basin that likely originated through rifting during late Early Carboniferous (Serpukhovian). Following a long interval of passive subsidence that allowed a thick succession of Moscovian–Kasimovian carbonate rocks to fill the OFD, tectonic activity resumed during the Gzhelian (Late Pennsylvanian). This resulted in rapid collapse of the depression along its axis and simultaneous uplifts of its margins, a style of tectonism in accord with the inferred basin-wide shift to a transpressional–transtensional stress regime at that time. Late Pennsylvanian–Early Permian sedimentation in the OFD led to the development of four long-term (second-order) transgressive–regressive sequences of early Gzhelian–middle Asselian (

Published
2022
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18. Functional repertoire convergence of distantly related eukaryotic plankton lineages abundant in the sunlit ocean

Author

Tom O. Delmont, Morgan Gaia, Damien D. Hinsinger, Paul Frémont, Chiara Vanni, Antonio Fernandez-Guerra, A. Murat Eren, Artem Kourlaiev, Leo d'Agata, Quentin Clayssen, Emilie Villar, Karine Labadie, Corinne Cruaud, Julie Poulain, Corinne Da Silva, Marc Wessner, Benjamin Noel, Jean-Marc Aury, Colomban de Vargas, Chris Bowler, Eric Karsenti, Eric Pelletier, Patrick Wincker, Olivier Jaillon, Shinichi Sunagawa, Silvia G. Acinas, Peer Bork, Christian Sardet, Lars Stemmann, Magali Lescot, Marcel Babin, Gabriel Gorsky, Nigel Grimsley, Lionel Guidi, Pascal Hingamp, Stefanie Kandels, Daniele Iudicone, Hiroyuki Ogata, Stéphane Pesant, Matthew B. Sullivan, Fabrice Not, Karp-Boss Lee, Emmanuel Boss, Guy Cochrane, Michael Follows, Nicole Poulton, Jeroen Raes, Mike Sieracki, Sabrina Speich, Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Tara Oceans-GOSEE (FR2022), Centre for GeoGenetics, Natural History Museum of Denmark, Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), The University of Chicago Medicine [Chicago], Life & Soft [Fontenay-aux-Roses], Génomique métabolique (UMR 8030), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de biologie de l'ENS Paris (IBENS), Département de Biologie - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut de biologie physico-chimique (IBPC (FR_550)), BABIN, Marcel, Global Oceans Systems Ecology & Evolution - Tara Oceans (GOSEE), Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Aix Marseille Université (AMU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Université de Toulon (UTLN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche pour le Développement (IRD [France-Nord])-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-European Molecular Biology Laboratory (EMBL)-École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Université australe du Chili, ANR-17-CE02-0012,ALGALVIRUS,Adaptations Génomique des Algues Marines aux Virus(2017), Institut de Biologie François JACOB (JACOB), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Max Planck Institute for Marine Microbiology, Max-Planck-Gesellschaft, University of Copenhagen = Københavns Universitet (UCPH), Helmholtz Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB), Carl Von Ossietzky Universität Oldenburg = Carl von Ossietzky University of Oldenburg (OFFIS), Tara Oceans Coordinators, Agencia Estatal de Investigación (España), Carl Von Ossietzky Universität Oldenburg, and Not, Fabrice

Subjects
[SDE] Environmental Sciences, functions, metagenomics, Tara Oceans, Planktonic eukaryotes, Genomics metagenomics, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, anvi'o, evolution, [SDE]Environmental Sciences, genomics, anvi’o, ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Conserve and sustainably use the oceans, seas and marine resources for sustainable development
Abstract

18 pages, 4 figures, supplemental information https://doi.org/10.1016/j.xgen.2022.100123.-- Data and code availability: • All data our study generated are publicly available at http://www.genoscope.cns.fr/tara/. The link provides access to the 11 raw metagenomic co-assemblies, the FASTA files for 713 MAGs and SAGs, the ∼10 million protein-coding sequences (nucleotides, amino acids and gff format), and the curated DNA-dependent RNA polymerase genes (MAGs and SAGs and METdb transcriptomes). This link also provides access to the supplemental figures and the Supplemental material. Finally, code development within anvi’o for the BUSCO single copy core genes is available at https://github.com/merenlab/anvio. • Original code has been deposited at Zenodo and is publicly available. The accession number is listed in the key resources table. • Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request, 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, Tara Oceans (which includes the Tara Oceans and Tara Oceans Polar Circle expeditions) would not exist without the leadership of the Tara Ocean Foundation and the continuous support of 23 institutes (https://oceans.taraexpeditions.org/). We thank the commitment of the following people and sponsors who made this singular expedition possible: CNRS (in particular Groupement de Recherche GDR3280 and the Research Federation for the Study of Global Ocean Systems Ecology and Evolution FR2022/Tara GOSEE), the European Molecular Biology Laboratory (EMBL), Genoscope/CEA, the French Ministry of Research and the French Governement ‘Investissement d’Avenir’ programs Oceanomics (ANR-11-BTBR-0008), FRANCE GENOMIQUE (ANR-10-INBS-09), ATIGE Genopole postdoctoral fellowship, HYDROGEN/ANR-14-CE23-0001, MEMO LIFE (ANR-10-LABX-54), PSL Research University (ANR-11-IDEX-0001-02) and EMBRC-France (ANR-10-INBS-02), Fund for Scientific Research—Flanders, VIB, Stazione Zoologica Anton Dohrn, UNIMIB, ANR (projects ALGALVIRUS ANR-17-CE02- 0012, PHYTBACK/ANR-2010-1709-01, POSEIDON/ANR-09-BLAN-0348, PROMETHEUS/ANR-09-PCS-GENM-217, TARA-GIRUS/ANR-09-PCS-GENM-218), EU FP7 (MicroB3/No. 287589, IHMS/HEALTH-F4-2010-261376), Genopole, CEA DRF Impulsion program, OCEANOMICS (project no. ANR-11-BTBR-0008), ERC Advanced Award Diatomic (grant agreement No 835067) to CB. The authors also thank Agnès B. and E. Bourgois, the Prince Albert II de Monaco Foundation, the Veolia Foundation, the EDF Foundation, Region Bretagne, Lorient Agglomeration, Worldcourier, Illumina, Serge Ferrari, and the Fonds Francais pour l'Environnement Mondial for support and commitment. [...] Part of the computations were performed using the platine, titane, and curie HPC machine provided through GENCI grants (t2011076389, t2012076389, t2013036389, t2014036389, t2015036389, and t2016036389, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S)

Published
2022
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19. Cryptic and abundant marine viruses at the evolutionary origins of Earth's RNA virome

Author

Ahmed A, Zayed, James M, Wainaina, Guillermo, Dominguez-Huerta, Eric, Pelletier, Jiarong, Guo, Mohamed, Mohssen, Funing, Tian, Akbar Adjie, Pratama, Benjamin, Bolduc, Olivier, Zablocki, Dylan, Cronin, Lindsey, Solden, Erwan, Delage, Adriana, Alberti, Jean-Marc, Aury, Quentin, Carradec, Corinne, da Silva, Karine, Labadie, Julie, Poulain, Hans-Joachim, Ruscheweyh, Guillem, Salazar, Elan, Shatoff, Ralf, Bundschuh, Kurt, Fredrick, Laura S, Kubatko, Samuel, Chaffron, Alexander I, Culley, Shinichi, Sunagawa, Jens H, Kuhn, Patrick, Wincker, Matthew B, Sullivan, Silvia G, Acinas, Marcel, Babin, Peer, Bork, Emmanuel, Boss, Chris, Bowler, Guy, Cochrane, Colomban, de Vargas, Gabriel, Gorsky, Lionel, Guidi, Nigel, Grimsley, Pascal, Hingamp, Daniele, Iudicone, Olivier, Jaillon, Stefanie, Kandels, Lee, Karp-Boss, Eric, Karsenti, Fabrice, Not, Hiroyuki, Ogata, Nicole, Poulton, Stéphane, Pesant, Christian, Sardet, Sabrinia, Speich, Lars, Stemmann, Shinichi, Sungawa, Department of Microbiology [Columbus], Ohio State University [Columbus] (OSU), Global Oceans Systems Ecology & Evolution - Tara Oceans (GOSEE), Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Aix Marseille Université (AMU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Université de Toulon (UTLN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche pour le Développement (IRD [France-Nord])-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-European Molecular Biology Laboratory (EMBL)-École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Université australe du Chili, Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Institut de Biologie François JACOB (JACOB), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Laboratoire des Sciences du Numérique de Nantes (LS2N), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Combinatoire et Bioinformatique (LS2N - équipe COMBI), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Génomique métabolique (UMR 8030), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Department of Biology [ETH Zürich] (D-BIOL), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Department of Physics, The Ohio State University, Department of Statistics, the Ohio State University Columbus, Département de Biochimie, de Microbiologie et de Bio-informatique, Université Laval, Université Laval [Québec] (ULaval), Institute of Microbiology, Department of Biology, ETH Zurich, Institute of Microbiology, Department of Microbiology, The Ohio state university, Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes université - UFR des Sciences et des Techniques (Nantes univ - UFR ST), Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie, and Nantes Université (Nantes Univ)

Subjects
Multidisciplinary, Virome, Oceans and Seas, [SDV.BBM.MN]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular Networks [q-bio.MN], Genome, Viral, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Biological Evolution, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], [SDE]Environmental Sciences, Viruses, RNA, RNA Viruses, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Ecosystem, Phylogeny, [SDV.EE.IEO]Life Sciences [q-bio]/Ecology, environment/Symbiosis
Abstract

Whereas DNA viruses are known to be abundant, diverse, and commonly key ecosystem players, RNA viruses are insufficiently studied outside disease settings. In this study, we analyzed ≈28 terabases of Global Ocean RNA sequences to expand Earth’s RNA virus catalogs and their taxonomy, investigate their evolutionary origins, and assess their marine biogeography from pole to pole. Using new approaches to optimize discovery and classification, we identified RNA viruses that necessitate substantive revisions of taxonomy (doubling phyla and adding >50% new classes) and evolutionary understanding. “Species”-rank abundance determination revealed that viruses of the new phyla “ Taraviricota ,” a missing link in early RNA virus evolution, and “ Arctiviricota ” are widespread and dominant in the oceans. These efforts provide foundational knowledge critical to integrating RNA viruses into ecological and epidemiological models.

Published
2022
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20. A case–control study on predicting population risk of suicide using health administrative data: a research protocol

Author

JianLi Wang, Fatemeh Gholi Zadeh Kharrat, Jean-François Pelletier, Louis Rochette, Eric Pelletier, Pascale Lévesque, Victoria Massamba, Camille Brousseau-Paradis, Mada Mohammed, Geneviève Gariépy, Christian Gagné, and Alain Lesage

Subjects
General Medicine
Abstract

IntroductionSuicide has a complex aetiology and is a result of the interaction among the risk and protective factors at the individual, healthcare system and population levels. Therefore, policy and decision makers and mental health service planners can play an important role in suicide prevention. Although a number of suicide risk predictive tools have been developed, these tools were designed to be used by clinicians for assessing individual risk of suicide. There have been no risk predictive models to be used by policy and decision makers for predicting population risk of suicide at the national, provincial and regional levels. This paper aimed to describe the rationale and methodology for developing risk predictive models for population risk of suicide.Methods and analysisA case–control study design will be used to develop sex-specific risk predictive models for population risk of suicide, using statistical regression and machine learning techniques. Routinely collected health administrative data in Quebec, Canada, and community-level social deprivation and marginalisation data will be used. The developed models will be transformed into the models that can be readily used by policy and decision makers. Two rounds of qualitative interviews with end-users and other stakeholders were proposed to understand their views about the developed models and potential systematic, social and ethical issues for implementation; the first round of qualitative interviews has been completed. We included 9440 suicide cases (7234 males and 2206 females) and 661 780 controls for model development. Three hundred and forty-seven variables at individual, healthcare system and community levels have been identified and will be included in least absolute shrinkage and selection operator regression for feature selection.Ethics and disseminationThis study is approved by the Health Research Ethnics Committee of Dalhousie University, Canada. This study takes an integrated knowledge translation approach, involving knowledge users from the beginning of the process.

Published
2023
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22. A case–control study on predicting population risk of suicide using health administrative data: a research protocol

Author

Alain Lesage, JianLi Wang, Geneviève Gariépy, Éric Pelletier, Louis Rochette, Fatemeh Gholi Zadeh Kharrat, Jean-François Pelletier, Pascale Lévesque, Victoria Massamba, Camille Brousseau-Paradis, Mada Mohammed, and Christian Gagné

Subjects
Medicine
Abstract

Introduction Suicide has a complex aetiology and is a result of the interaction among the risk and protective factors at the individual, healthcare system and population levels. Therefore, policy and decision makers and mental health service planners can play an important role in suicide prevention. Although a number of suicide risk predictive tools have been developed, these tools were designed to be used by clinicians for assessing individual risk of suicide. There have been no risk predictive models to be used by policy and decision makers for predicting population risk of suicide at the national, provincial and regional levels. This paper aimed to describe the rationale and methodology for developing risk predictive models for population risk of suicide.Methods and analysis A case–control study design will be used to develop sex-specific risk predictive models for population risk of suicide, using statistical regression and machine learning techniques. Routinely collected health administrative data in Quebec, Canada, and community-level social deprivation and marginalisation data will be used. The developed models will be transformed into the models that can be readily used by policy and decision makers. Two rounds of qualitative interviews with end-users and other stakeholders were proposed to understand their views about the developed models and potential systematic, social and ethical issues for implementation; the first round of qualitative interviews has been completed. We included 9440 suicide cases (7234 males and 2206 females) and 661 780 controls for model development. Three hundred and forty-seven variables at individual, healthcare system and community levels have been identified and will be included in least absolute shrinkage and selection operator regression for feature selection.Ethics and dissemination This study is approved by the Health Research Ethnics Committee of Dalhousie University, Canada. This study takes an integrated knowledge translation approach, involving knowledge users from the beginning of the process.

Published
2023
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23. Whole-genome scanning reveals environmental selection mechanisms that shape diversity in populations of the epipelagic diatom Chaetoceros.

Author

Charlotte Nef, Mohammed-Amin Madoui, Éric Pelletier, and Chris Bowler

Subjects
Biology (General), QH301-705.5
Abstract

Diatoms form a diverse and abundant group of photosynthetic protists that are essential players in marine ecosystems. However, the microevolutionary structure of their populations remains poorly understood, particularly in polar regions. Exploring how closely related diatoms adapt to different environments is essential given their short generation times, which may allow rapid adaptations, and their prevalence in marine regions dramatically impacted by climate change, such as the Arctic and Southern Oceans. Here, we address genetic diversity patterns in Chaetoceros, the most abundant diatom genus and one of the most diverse, using 11 metagenome-assembled genomes (MAGs) reconstructed from Tara Oceans metagenomes. Genome-resolved metagenomics on these MAGs confirmed a prevalent distribution of Chaetoceros in the Arctic Ocean with lower dispersal in the Pacific and Southern Oceans as well as in the Mediterranean Sea. Single-nucleotide variants identified within the different MAG populations allowed us to draw a landscape of Chaetoceros genetic diversity and revealed an elevated genetic structure in some Arctic Ocean populations. Gene flow patterns of closely related Chaetoceros populations seemed to correlate with distinct abiotic factors rather than with geographic distance. We found clear positive selection of genes involved in nutrient availability responses, in particular for iron (e.g., ISIP2a, flavodoxin), silicate, and phosphate (e.g., polyamine synthase), that were further supported by analysis of Chaetoceros transcriptomes. Altogether, these results highlight the importance of environmental selection in shaping diatom diversity patterns and provide new insights into their metapopulation genomics through the integration of metagenomic and environmental data.

Published
2022
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24. Morbidities and mortality of diagnosed attention deficit hyperactivity disorder (ADHD) over the youth lifespan: A population‐based retrospective cohort study

Author

Fatoumata Binta Diallo, Éric Pelletier, Helen‐Maria Vasiliadis, Louis Rochette, Annick Vincent, Sylvain Palardy, Carlotta Lunghi, Martin Gignac, and Alain Lesage

Subjects
ADHD, child psychiatric, comorbidity, epidemiology, health services, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Abstract Objectives To estimate the prevalence of ADHD, and related comorbidities, mortality, and type of health service use among children and young adults, using different case definitions. Methods We conducted a population‐based retrospective cohort study between 2000 and 2018, using the Quebec Integrated Chronic Disease Surveillance System (QICDSS) database. All residents aged less than 25 years eligible for health insurance coverage were included. We compared outcomes of three indicators (morbidity, services use and mortality) according two different algorithms of ADHD definitions, to the general population. Results The cumulative prevalence of ADHD has risen steadily over the past decade, reaching 12.6% in 2017–2018. People with ADHD have a higher prevalence of psychiatric comorbidities, make greater use of medical, mental health services, and are hospitalized more often. The comparison of prevalence between the two algorithms and the general population for the three indicators showed that the cohort having one claim was very close to that with two or more, and statistically significant higher to that of people without ADHD. Conclusion This finding support that a single claim algorithm for ADHD can be used for case definition. More research is needed on the impact of potentially effective treatments in improving consequences of ADHD.

Published
2022
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