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Logares R. Decoding populations in the ocean microbiome. MICROBIOME 2024; 12:67. [PMID: 38561814 PMCID: PMC10983722 DOI: 10.1186/s40168-024-01778-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 02/12/2024] [Indexed: 04/04/2024]
Abstract
Understanding the characteristics and structure of populations is fundamental to comprehending ecosystem processes and evolutionary adaptations. While the study of animal and plant populations has spanned a few centuries, microbial populations have been under scientific scrutiny for a considerably shorter period. In the ocean, analyzing the genetic composition of microbial populations and their adaptations to multiple niches can yield important insights into ecosystem function and the microbiome's response to global change. However, microbial populations have remained elusive to the scientific community due to the challenges associated with isolating microorganisms in the laboratory. Today, advancements in large-scale metagenomics and metatranscriptomics facilitate the investigation of populations from many uncultured microbial species directly from their habitats. The knowledge acquired thus far reveals substantial genetic diversity among various microbial species, showcasing distinct patterns of population differentiation and adaptations, and highlighting the significant role of selection in structuring populations. In the coming years, population genomics is expected to significantly increase our understanding of the architecture and functioning of the ocean microbiome, providing insights into its vulnerability or resilience in the face of ongoing global change. Video Abstract.
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Affiliation(s)
- Ramiro Logares
- Institute of Marine Sciences (ICM), CSIC, Barcelona, Catalonia, 08003, Spain.
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2
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Laso-Jadart R, O'Malley M, Sykulski AM, Ambroise C, Madoui MA. Holistic view of the seascape dynamics and environment impact on macro-scale genetic connectivity of marine plankton populations. BMC Ecol Evol 2023; 23:46. [PMID: 37658324 PMCID: PMC10472650 DOI: 10.1186/s12862-023-02160-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 08/23/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND Plankton seascape genomics studies have revealed different trends from large-scale weak differentiation to microscale structures. Previous studies have underlined the influence of the environment and seascape on species differentiation and adaptation. However, these studies have generally focused on a few single species, sparse molecular markers, or local scales. Here, we investigated the genomic differentiation of plankton at the macro-scale in a holistic approach using Tara Oceans metagenomic data together with a reference-free computational method. RESULTS We reconstructed the FST-based genomic differentiation of 113 marine planktonic taxa occurring in the North and South Atlantic Oceans, Southern Ocean, and Mediterranean Sea. These taxa belong to various taxonomic clades spanning Metazoa, Chromista, Chlorophyta, Bacteria, and viruses. Globally, population genetic connectivity was significantly higher within oceanic basins and lower in bacteria and unicellular eukaryotes than in zooplankton. Using mixed linear models, we tested six abiotic factors influencing connectivity, including Lagrangian travel time, as proxies of oceanic current effects. We found that oceanic currents were the main population genetic connectivity drivers, together with temperature and salinity. Finally, we classified the 113 taxa into parameter-driven groups and showed that plankton taxa belonging to the same taxonomic rank such as phylum, class or order presented genomic differentiation driven by different environmental factors. CONCLUSION Our results validate the isolation-by-current hypothesis for a non-negligible proportion of taxa and highlight the role of other physicochemical parameters in large-scale plankton genetic connectivity. The reference-free approach used in this study offers a new systematic framework to analyse the population genomics of non-model and undocumented marine organisms from a large-scale and holistic point of view.
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Affiliation(s)
- Romuald Laso-Jadart
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France
- Research Federation for the Study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GO-SEE, 3 rue Michel-Ange, Paris, France
| | - Michael O'Malley
- STOR-i Centre for Doctoral Training/Department of Mathematics and Statistics, Lancaster University, Lancaster, UK
| | - Adam M Sykulski
- STOR-i Centre for Doctoral Training/Department of Mathematics and Statistics, Lancaster University, Lancaster, UK
| | | | - Mohammed-Amin Madoui
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.
- Research Federation for the Study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GO-SEE, 3 rue Michel-Ange, Paris, France.
- Service d'Etude des Prions et des Infections Atypiques (SEPIA), Institut François Jacob, Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Université Paris Saclay, Fontenay-Aux-Roses, France.
- Équipe Écologie Évolutive, UMR CNRS 6282 BioGéoSciences, Université de Bourgogne Franche-Comté, 21000, Dijon, France.
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3
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Zhao C, Shi ZJ, Pollard KS. Pitfalls of genotyping microbial communities with rapidly growing genome collections. Cell Syst 2023; 14:160-176.e3. [PMID: 36657438 PMCID: PMC9957970 DOI: 10.1016/j.cels.2022.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 10/15/2022] [Accepted: 12/19/2022] [Indexed: 01/20/2023]
Abstract
Detecting genetic variants in metagenomic data is a priority for understanding the evolution, ecology, and functional characteristics of microbial communities. Many tools that perform this metagenotyping rely on aligning reads of unknown origin to a database of sequences from many species before calling variants. In this synthesis, we investigate how databases of increasingly diverse and closely related species have pushed the limits of current alignment algorithms, thereby degrading the performance of metagenotyping tools. We identify multi-mapping reads as a prevalent source of errors and illustrate a trade-off between retaining correct alignments versus limiting incorrect alignments, many of which map reads to the wrong species. Then we evaluate several actionable mitigation strategies and review emerging methods showing promise to further improve metagenotyping in response to the rapid growth in genome collections. Our results have implications beyond metagenotyping to the many tools in microbial genomics that depend upon accurate read mapping.
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Affiliation(s)
- Chunyu Zhao
- Chan Zuckerberg Biohub, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
| | - Zhou Jason Shi
- Chan Zuckerberg Biohub, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
| | - Katherine S Pollard
- Chan Zuckerberg Biohub, San Francisco, CA, USA; Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA; Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
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Sugier K, Laso-Jadart R, Vacherie B, Käfer J, Bertrand L, Labadie K, Martins N, Orvain C, Petit E, Wincker P, Jamet JL, Alberti A, Madoui MA. Male Differentiation in the Marine Copepod Oithona nana Reveals the Development of a New Nervous Ganglion and Lin12-Notch-Repeat Protein-Associated Proteolysis. BIOLOGY 2021; 10:biology10070657. [PMID: 34356512 PMCID: PMC8301441 DOI: 10.3390/biology10070657] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/30/2021] [Accepted: 07/08/2021] [Indexed: 11/23/2022]
Abstract
Simple Summary Copepods are tiny crustaceans and the most abundant animals on Earth; they also play a crucial role in the marine food chain. Among copepods, Oithona is one of most ecologically successful and is known for its differential behavior between males and females. The males adopt the strategy “live fast, die young”: they are constantly in motion to search for females, more vulnerable to predators, feed less, and have a higher mortality rate. In our study, we found the presence of a new male-specific ganglion in Oithona nana probably involved in female cues sensing. We also demonstrate the potential role of new Lin-12 Notch Repeat proteins in the development of this ganglion by interacting with proteins involved in the development of the nervous system. Thanks to our findings, we propose that the “live fast, die young” strategy of the O. nana males is optimized by the explosion of these Lin-12 Notch Repeat proteins in the male proteome involved in the development of the male-specific olfactory ganglion to increase female cue sensing and mating. Abstract Copepods are among the most numerous animals, and they play an essential role in the marine trophic web and biogeochemical cycles. The genus Oithona is described as having the highest density of copepods. The Oithona male paradox describes the activity states of males, which are obliged to alternate between immobile and mobile phases for ambush feeding and mate searching, respectively, while the female is less mobile and feeds less. To characterize the molecular basis of this sexual dimorphism, we combined immunofluorescence, genomics, transcriptomics, and protein–protein interaction approaches and revealed the presence of a male-specific nervous ganglion. Transcriptomic analysis showed male-specific enrichment for nervous system development-related transcripts. Twenty-seven Lin12-Notch Repeat domain-containing protein coding genes (LDPGs) of the 75 LDPGs identified in the genome were specifically expressed in males. Furthermore, some LDPGs coded for proteins with predicted proteolytic activity, and proteases-associated transcripts showed a male-specific enrichment. Using yeast double–hybrid assays, we constructed a protein–protein interaction network involving two LDPs with proteases, extracellular matrix proteins, and neurogenesis-related proteins. We also hypothesized possible roles of the LDPGs in the development of the lateral ganglia through helping in extracellular matrix lysis, neurites growth guidance, and synapses genesis.
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Affiliation(s)
- Kevin Sugier
- Génomique Métabolique, Genoscope, Institut François Jacob, Univ Evry, Université Paris-Saclay, 91000 Evry, France; (K.S.); (R.L.-J.); (L.B.); (N.M.); (C.O.); (P.W.); (A.A.)
| | - Romuald Laso-Jadart
- Génomique Métabolique, Genoscope, Institut François Jacob, Univ Evry, Université Paris-Saclay, 91000 Evry, France; (K.S.); (R.L.-J.); (L.B.); (N.M.); (C.O.); (P.W.); (A.A.)
| | - Benoît Vacherie
- Genoscope, Institut de Biologie François-Jacob, Commissariat à l’Energie Atomique (CEA), Université Paris-Saclay, 91000 Evry, France; (B.V.); (K.L.); (E.P.)
| | - Jos Käfer
- Laboratoire de Biométrie et Biologie Evolutive UMR 5558, Université Lyon 1, Université de Lyon, 69622 Villeurbanne, France;
| | - Laurie Bertrand
- Génomique Métabolique, Genoscope, Institut François Jacob, Univ Evry, Université Paris-Saclay, 91000 Evry, France; (K.S.); (R.L.-J.); (L.B.); (N.M.); (C.O.); (P.W.); (A.A.)
| | - Karine Labadie
- Genoscope, Institut de Biologie François-Jacob, Commissariat à l’Energie Atomique (CEA), Université Paris-Saclay, 91000 Evry, France; (B.V.); (K.L.); (E.P.)
| | - Nathalie Martins
- Génomique Métabolique, Genoscope, Institut François Jacob, Univ Evry, Université Paris-Saclay, 91000 Evry, France; (K.S.); (R.L.-J.); (L.B.); (N.M.); (C.O.); (P.W.); (A.A.)
| | - Céline Orvain
- Génomique Métabolique, Genoscope, Institut François Jacob, Univ Evry, Université Paris-Saclay, 91000 Evry, France; (K.S.); (R.L.-J.); (L.B.); (N.M.); (C.O.); (P.W.); (A.A.)
| | - Emmanuelle Petit
- Genoscope, Institut de Biologie François-Jacob, Commissariat à l’Energie Atomique (CEA), Université Paris-Saclay, 91000 Evry, France; (B.V.); (K.L.); (E.P.)
| | - Patrick Wincker
- Génomique Métabolique, Genoscope, Institut François Jacob, Univ Evry, Université Paris-Saclay, 91000 Evry, France; (K.S.); (R.L.-J.); (L.B.); (N.M.); (C.O.); (P.W.); (A.A.)
- Genoscope, Institut de Biologie François-Jacob, Commissariat à l’Energie Atomique (CEA), Université Paris-Saclay, 91000 Evry, France; (B.V.); (K.L.); (E.P.)
| | - Jean-Louis Jamet
- Mediterranean Institute of Oceanography, Université de Toulon, Aix-Marseille Université, CEDEX 9, 83041 Toulon, France;
| | - Adriana Alberti
- Génomique Métabolique, Genoscope, Institut François Jacob, Univ Evry, Université Paris-Saclay, 91000 Evry, France; (K.S.); (R.L.-J.); (L.B.); (N.M.); (C.O.); (P.W.); (A.A.)
| | - Mohammed-Amin Madoui
- Génomique Métabolique, Genoscope, Institut François Jacob, Univ Evry, Université Paris-Saclay, 91000 Evry, France; (K.S.); (R.L.-J.); (L.B.); (N.M.); (C.O.); (P.W.); (A.A.)
- Correspondence:
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Laso-Jadart R, Ambroise C, Peterlongo P, Madoui MA. metaVaR: Introducing metavariant species models for reference-free metagenomic-based population genomics. PLoS One 2020; 15:e0244637. [PMID: 33378381 PMCID: PMC7773188 DOI: 10.1371/journal.pone.0244637] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 12/14/2020] [Indexed: 11/18/2022] Open
Abstract
The availability of large metagenomic data offers great opportunities for the population genomic analysis of uncultured organisms, which represent a large part of the unexplored biosphere and play a key ecological role. However, the majority of these organisms lack a reference genome or transcriptome, which constitutes a technical obstacle for classical population genomic analyses. We introduce the metavariant species (MVS) model, in which a species is represented only by intra-species nucleotide polymorphism. We designed a method combining reference-free variant calling, multiple density-based clustering and maximum-weighted independent set algorithms to cluster intra-species variants into MVSs directly from multisample metagenomic raw reads without a reference genome or read assembly. The frequencies of the MVS variants are then used to compute population genomic statistics such as FST, in order to estimate genomic differentiation between populations and to identify loci under natural selection. The MVS construction was tested on simulated and real metagenomic data. MVSs showed the required quality for robust population genomics and allowed an accurate estimation of genomic differentiation (ΔFST < 0.0001 and <0.03 on simulated and real data respectively). Loci predicted under natural selection on real data were all detected by MVSs. MVSs represent a new paradigm that may simplify and enhance holistic approaches for population genomics and the evolution of microorganisms.
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Affiliation(s)
- Romuald Laso-Jadart
- Institut François Jacob, CEA, CNRS, Génomique Métabolique - UMR 8030, Univ Evry, Université Paris-Saclay, Evry, France
| | | | | | - Mohammed-Amin Madoui
- Institut François Jacob, CEA, CNRS, Génomique Métabolique - UMR 8030, Univ Evry, Université Paris-Saclay, Evry, France
- * E-mail:
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6
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Laso‐Jadart R, Sugier K, Petit E, Labadie K, Peterlongo P, Ambroise C, Wincker P, Jamet J, Madoui M. Investigating population-scale allelic differential expression in wild populations of Oithona similis (Cyclopoida, Claus, 1866). Ecol Evol 2020; 10:8894-8905. [PMID: 32884665 PMCID: PMC7452778 DOI: 10.1002/ece3.6588] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 06/04/2020] [Accepted: 06/10/2020] [Indexed: 12/11/2022] Open
Abstract
Acclimation allowed by variation in gene or allele expression in natural populations is increasingly understood as a decisive mechanism, as much as adaptation, for species evolution. However, for small eukaryotic organisms, as species from zooplankton, classical methods face numerous challenges. Here, we propose the concept of allelic differential expression at the population-scale (psADE) to investigate the variation in allele expression in natural populations. We developed a novel approach to detect psADE based on metagenomic and metatranscriptomic data from environmental samples. This approach was applied on the widespread marine copepod, Oithona similis, by combining samples collected during the Tara Oceans expedition (2009-2013) and de novo transcriptome assemblies. Among a total of 25,768 single nucleotide variants (SNVs) of O. similis, 572 (2.2%) were affected by psADE in at least one population (FDR < 0.05). The distribution of SNVs under psADE in different populations is significantly shaped by population genomic differentiation (Pearson r = 0.87, p = 5.6 × 10-30), supporting a partial genetic control of psADE. Moreover, a significant amount of SNVs (0.6%) were under both selection and psADE (p < .05), supporting the hypothesis that natural selection and psADE tends to impact common loci. Population-scale allelic differential expression offers new insights into the gene regulation control in populations and its link with natural selection.
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Affiliation(s)
- Romuald Laso‐Jadart
- Génomique Métabolique, GenoscopeInstitut François Jacob, CEA, CNRS, Univ EvryUniversité Paris‐SaclayEvryFrance
- Research Federation for the study of Global Ocean Systems Ecology and EvolutionFR2022/Tara Oceans GO‐SEEParisFrance
| | - Kevin Sugier
- Génomique Métabolique, GenoscopeInstitut François Jacob, CEA, CNRS, Univ EvryUniversité Paris‐SaclayEvryFrance
| | - Emmanuelle Petit
- CEA, GenoscopeInstitut de Biologie François JacobUniversité Paris‐SaclayEvryFrance
| | - Karine Labadie
- CEA, GenoscopeInstitut de Biologie François JacobUniversité Paris‐SaclayEvryFrance
| | | | | | - Patrick Wincker
- Génomique Métabolique, GenoscopeInstitut François Jacob, CEA, CNRS, Univ EvryUniversité Paris‐SaclayEvryFrance
- Research Federation for the study of Global Ocean Systems Ecology and EvolutionFR2022/Tara Oceans GO‐SEEParisFrance
| | - Jean‐Louis Jamet
- Mediterranean Institute of Oceanology (MIO)AMU‐UTLN UM110CNRS UMR7294, IRDUMR235Equipe Ecologie Marine et Biodiversité (EMBIO)Université de ToulonToulon Cedex 9France
| | - Mohammed‐Amin Madoui
- Génomique Métabolique, GenoscopeInstitut François Jacob, CEA, CNRS, Univ EvryUniversité Paris‐SaclayEvryFrance
- Research Federation for the study of Global Ocean Systems Ecology and EvolutionFR2022/Tara Oceans GO‐SEEParisFrance
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7
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Sunagawa S, Acinas SG, Bork P, Bowler C, Eveillard D, Gorsky G, Guidi L, Iudicone D, Karsenti E, Lombard F, Ogata H, Pesant S, Sullivan MB, Wincker P, de Vargas C. Tara Oceans: towards global ocean ecosystems biology. Nat Rev Microbiol 2020; 18:428-445. [PMID: 32398798 DOI: 10.1038/s41579-020-0364-5] [Citation(s) in RCA: 135] [Impact Index Per Article: 33.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/27/2020] [Indexed: 12/14/2022]
Abstract
A planetary-scale understanding of the ocean ecosystem, particularly in light of climate change, is crucial. Here, we review the work of Tara Oceans, an international, multidisciplinary project to assess the complexity of ocean life across comprehensive taxonomic and spatial scales. Using a modified sailing boat, the team sampled plankton at 210 globally distributed sites at depths down to 1,000 m. We describe publicly available resources of molecular, morphological and environmental data, and discuss how an ecosystems biology approach has expanded our understanding of plankton diversity and ecology in the ocean as a planetary, interconnected ecosystem. These efforts illustrate how global-scale concepts and data can help to integrate biological complexity into models and serve as a baseline for assessing ecosystem changes and the future habitability of our planet in the Anthropocene epoch.
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Affiliation(s)
- Shinichi Sunagawa
- Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, Zürich, Switzerland.
| | - Silvia G Acinas
- Department of Marine Biology and Oceanography, Institute of Marine Sciences-CSIC, Barcelona, Spain
| | - Peer Bork
- Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany.,Max Delbrück Center for Molecular Medicine, Berlin, Germany.,Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany
| | - Chris Bowler
- Institut de Biologie de l'ENS, Département de Biologie, École Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France.,Research Federation for the Study of Global Ocean Systems Ecology and Evolution, FR2022/Tara GOSEE, Paris, France
| | | | - Damien Eveillard
- Research Federation for the Study of Global Ocean Systems Ecology and Evolution, FR2022/Tara GOSEE, Paris, France.,Université de Nantes, CNRS, UMR6004, LS2N, Nantes, France
| | - Gabriel Gorsky
- Research Federation for the Study of Global Ocean Systems Ecology and Evolution, FR2022/Tara GOSEE, Paris, France.,Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
| | - Lionel Guidi
- Research Federation for the Study of Global Ocean Systems Ecology and Evolution, FR2022/Tara GOSEE, Paris, France.,Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
| | | | - Eric Karsenti
- Institut de Biologie de l'ENS, Département de Biologie, École Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France.,Research Federation for the Study of Global Ocean Systems Ecology and Evolution, FR2022/Tara GOSEE, Paris, France.,Directors' Research, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Fabien Lombard
- Research Federation for the Study of Global Ocean Systems Ecology and Evolution, FR2022/Tara GOSEE, Paris, France.,Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, Villefranche-sur-Mer, France
| | - Hiroyuki Ogata
- Institute for Chemical Research, Kyoto University, Kyoto, Japan
| | - Stephane Pesant
- PANGAEA, University of Bremen, Bremen, Germany.,MARUM, Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany
| | - Matthew B Sullivan
- Department of Microbiology, The Ohio State University, Columbus, OH, USA.,Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, OH, USA.,Center for RNA Biology, The Ohio State University, Columbus, OH, USA
| | - Patrick Wincker
- Research Federation for the Study of Global Ocean Systems Ecology and Evolution, FR2022/Tara GOSEE, Paris, France.,Génomique Métabolique, Genoscope, Institut de Biologie Francois Jacob, Commissariat à l'Énergie Atomique, CNRS, Université Evry, Université Paris-Saclay, Evry, France
| | - Colomban de Vargas
- Research Federation for the Study of Global Ocean Systems Ecology and Evolution, FR2022/Tara GOSEE, Paris, France. .,Sorbonne Université and CNRS, UMR 7144 (AD2M), ECOMAP, Station Biologique de Roscoff, Roscoff, France.
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