Discovering millions of plankton genomic markers from the Atlantic Ocean and the Mediterranean Sea.


Journal

Molecular ecology resources
ISSN: 1755-0998
Titre abrégé: Mol Ecol Resour
Pays: England
ID NLM: 101465604

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 20 03 2018
revised: 16 11 2018
accepted: 19 11 2018
pubmed: 24 12 2018
medline: 4 4 2019
entrez: 22 12 2018
Statut: ppublish

Résumé

Comparison of the molecular diversity in all plankton populations present in geographically distant water columns may allow for a holistic view of the connectivity, isolation and adaptation of organisms in the marine environment. In this context, a large-scale detection and analysis of genomic variants directly in metagenomic data appeared as a powerful strategy for the identification of genetic structures and genes under natural selection in plankton. Here, we used discosnp++, a reference-free variant caller, to produce genetic variants from large-scale metagenomic data and assessed its accuracy on the copepod Oithona nana in terms of variant calling, allele frequency estimation and population genomic statistics by comparing it to the state-of-the-art method. discosnp ++ produces variants leading to similar conclusions regarding the genetic structure and identification of loci under natural selection. discosnp++ was then applied to 120 metagenomic samples from four size fractions, including prokaryotes, protists and zooplankton sampled from 39 tara Oceans sampling stations located in the Atlantic Ocean and the Mediterranean Sea to produce a new set of marine genomic markers containing more than 19 million of variants. This new genomic resource can be used by the community to relocate these markers on their plankton genomes or transcriptomes of interest. This resource will be updated with new marine expeditions and the increase of metagenomic data (availability: http://bioinformatique.rennes.inria.fr/taravariants/).

Identifiants

pubmed: 30575285
doi: 10.1111/1755-0998.12985
doi:

Substances chimiques

Genetic Markers 0

Banques de données

GENBANK
['900157175.1']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

526-535

Subventions

Organisme : Agence Nationale de la Recherche
ID : ANR-10-INBS-09-08
Organisme : Agence Nationale de la Recherche
ID : ANR-11- BTBR-0008
Organisme : Agence Nationale de la Recherche
ID : ANR-14-CE23-0001

Informations de copyright

© 2018 John Wiley & Sons Ltd.

Auteurs

Majda Arif (M)

Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.

Jérémy Gauthier (J)

Univ Rennes, CNRS, Inria, IRISA-UMR 6074, Rennes, France.

Kevin Sugier (K)

Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.

Daniele Iudicone (D)

Stazione Zoologica Anton Dohrn, Naples, Italy.

Olivier Jaillon (O)

Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.

Patrick Wincker (P)

Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.

Pierre Peterlongo (P)

Univ Rennes, CNRS, Inria, IRISA-UMR 6074, Rennes, France.

Mohammed-Amin Madoui (MA)

Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, France.

Articles similaires

Genome, Chloroplast Phylogeny Genetic Markers Base Composition High-Throughput Nucleotide Sequencing
Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice

Classifications MeSH