Cargando…

Transcriptome reconstruction and functional analysis of eukaryotic marine plankton communities via high-throughput metagenomics and metatranscriptomics

Large-scale metagenomic and metatranscriptomic data analyses are often restricted by their gene-centric approach, limiting the ability to understand organismal and community biology. De novo assembly of large and mosaic eukaryotic genomes from complex meta-omics data remains a challenging task, espe...

Descripción completa

Detalles Bibliográficos
Autores principales: Vorobev, Alexey, Dupouy, Marion, Carradec, Quentin, Delmont, Tom O., Annamalé, Anita, Wincker, Patrick, Pelletier, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7197479/
https://www.ncbi.nlm.nih.gov/pubmed/32205368
http://dx.doi.org/10.1101/gr.253070.119
_version_ 1783528859909488640
author Vorobev, Alexey
Dupouy, Marion
Carradec, Quentin
Delmont, Tom O.
Annamalé, Anita
Wincker, Patrick
Pelletier, Eric
author_facet Vorobev, Alexey
Dupouy, Marion
Carradec, Quentin
Delmont, Tom O.
Annamalé, Anita
Wincker, Patrick
Pelletier, Eric
author_sort Vorobev, Alexey
collection PubMed
description Large-scale metagenomic and metatranscriptomic data analyses are often restricted by their gene-centric approach, limiting the ability to understand organismal and community biology. De novo assembly of large and mosaic eukaryotic genomes from complex meta-omics data remains a challenging task, especially in comparison with more straightforward bacterial and archaeal systems. Here, we use a transcriptome reconstruction method based on clustering co-abundant genes across a series of metagenomic samples. We investigated the co-abundance patterns of ∼37 million eukaryotic unigenes across 365 metagenomic samples collected during the Tara Oceans expeditions to assess the diversity and functional profiles of marine plankton. We identified ∼12,000 co-abundant gene groups (CAGs), encompassing ∼7 million unigenes, including 924 metagenomics-based transcriptomes (MGTs, CAGs larger than 500 unigenes). We demonstrated the biological validity of the MGT collection by comparing individual MGTs with available references. We identified several key eukaryotic organisms involved in dimethylsulfoniopropionate (DMSP) biosynthesis and catabolism in different oceanic provinces, thus demonstrating the potential of the MGT collection to provide functional insights on eukaryotic plankton. We established the ability of the MGT approach to capture interspecies associations through the analysis of a nitrogen-fixing haptophyte-cyanobacterial symbiotic association. This MGT collection provides a valuable resource for analyses of eukaryotic plankton in the open ocean by giving access to the genomic content and functional potential of many ecologically relevant eukaryotic species.
format Online
Article
Text
id pubmed-7197479
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Cold Spring Harbor Laboratory Press
record_format MEDLINE/PubMed
spelling pubmed-71974792020-10-01 Transcriptome reconstruction and functional analysis of eukaryotic marine plankton communities via high-throughput metagenomics and metatranscriptomics Vorobev, Alexey Dupouy, Marion Carradec, Quentin Delmont, Tom O. Annamalé, Anita Wincker, Patrick Pelletier, Eric Genome Res Method Large-scale metagenomic and metatranscriptomic data analyses are often restricted by their gene-centric approach, limiting the ability to understand organismal and community biology. De novo assembly of large and mosaic eukaryotic genomes from complex meta-omics data remains a challenging task, especially in comparison with more straightforward bacterial and archaeal systems. Here, we use a transcriptome reconstruction method based on clustering co-abundant genes across a series of metagenomic samples. We investigated the co-abundance patterns of ∼37 million eukaryotic unigenes across 365 metagenomic samples collected during the Tara Oceans expeditions to assess the diversity and functional profiles of marine plankton. We identified ∼12,000 co-abundant gene groups (CAGs), encompassing ∼7 million unigenes, including 924 metagenomics-based transcriptomes (MGTs, CAGs larger than 500 unigenes). We demonstrated the biological validity of the MGT collection by comparing individual MGTs with available references. We identified several key eukaryotic organisms involved in dimethylsulfoniopropionate (DMSP) biosynthesis and catabolism in different oceanic provinces, thus demonstrating the potential of the MGT collection to provide functional insights on eukaryotic plankton. We established the ability of the MGT approach to capture interspecies associations through the analysis of a nitrogen-fixing haptophyte-cyanobacterial symbiotic association. This MGT collection provides a valuable resource for analyses of eukaryotic plankton in the open ocean by giving access to the genomic content and functional potential of many ecologically relevant eukaryotic species. Cold Spring Harbor Laboratory Press 2020-04 /pmc/articles/PMC7197479/ /pubmed/32205368 http://dx.doi.org/10.1101/gr.253070.119 Text en © 2020 Vorobev et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Method
Vorobev, Alexey
Dupouy, Marion
Carradec, Quentin
Delmont, Tom O.
Annamalé, Anita
Wincker, Patrick
Pelletier, Eric
Transcriptome reconstruction and functional analysis of eukaryotic marine plankton communities via high-throughput metagenomics and metatranscriptomics
title Transcriptome reconstruction and functional analysis of eukaryotic marine plankton communities via high-throughput metagenomics and metatranscriptomics
title_full Transcriptome reconstruction and functional analysis of eukaryotic marine plankton communities via high-throughput metagenomics and metatranscriptomics
title_fullStr Transcriptome reconstruction and functional analysis of eukaryotic marine plankton communities via high-throughput metagenomics and metatranscriptomics
title_full_unstemmed Transcriptome reconstruction and functional analysis of eukaryotic marine plankton communities via high-throughput metagenomics and metatranscriptomics
title_short Transcriptome reconstruction and functional analysis of eukaryotic marine plankton communities via high-throughput metagenomics and metatranscriptomics
title_sort transcriptome reconstruction and functional analysis of eukaryotic marine plankton communities via high-throughput metagenomics and metatranscriptomics
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7197479/
https://www.ncbi.nlm.nih.gov/pubmed/32205368
http://dx.doi.org/10.1101/gr.253070.119
work_keys_str_mv AT vorobevalexey transcriptomereconstructionandfunctionalanalysisofeukaryoticmarineplanktoncommunitiesviahighthroughputmetagenomicsandmetatranscriptomics
AT dupouymarion transcriptomereconstructionandfunctionalanalysisofeukaryoticmarineplanktoncommunitiesviahighthroughputmetagenomicsandmetatranscriptomics
AT carradecquentin transcriptomereconstructionandfunctionalanalysisofeukaryoticmarineplanktoncommunitiesviahighthroughputmetagenomicsandmetatranscriptomics
AT delmonttomo transcriptomereconstructionandfunctionalanalysisofeukaryoticmarineplanktoncommunitiesviahighthroughputmetagenomicsandmetatranscriptomics
AT annamaleanita transcriptomereconstructionandfunctionalanalysisofeukaryoticmarineplanktoncommunitiesviahighthroughputmetagenomicsandmetatranscriptomics
AT winckerpatrick transcriptomereconstructionandfunctionalanalysisofeukaryoticmarineplanktoncommunitiesviahighthroughputmetagenomicsandmetatranscriptomics
AT pelletiereric transcriptomereconstructionandfunctionalanalysisofeukaryoticmarineplanktoncommunitiesviahighthroughputmetagenomicsandmetatranscriptomics