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Accessing the genomic information of unculturable oceanic picoeukaryotes by combining multiple single cells

Accessing the genomic information of unculturable oceanic picoeukaryotes by combining multiple single cells

Authors :
Ministerio de Economía y Competitividad (España)
Agence Nationale de la Recherche (France)
National Science Foundation (US)
European Commission
France Génomique
Mangot, Jean-François
Logares, Ramiro
Sánchez Fernández, Pablo
Latorre, Fran
Massana, Ramon
Ministerio de Economía y Competitividad (España)
Agence Nationale de la Recherche (France)
National Science Foundation (US)
European Commission
France Génomique
Mangot, Jean-François
Logares, Ramiro
Sánchez Fernández, Pablo
Latorre, Fran
Massana, Ramon
Publication Year :
2017

Abstract

Pico-sized eukaryotes play key roles in the functioning of marine ecosystems, but we still have a limited knowledge on their ecology and evolution. The MAST-4 lineage is of particular interest, since it is widespread in surface oceans, presents ecotypic differentiation and has defied culturing efforts so far. Single cell genomics (SCG) are promising tools to retrieve genomic information from these uncultured organisms. However, SCG are based on whole genome amplification, which normally introduces amplification biases that limit the amount of genomic data retrieved from a single cell. Here, we increase the recovery of genomic information from two MAST-4 lineages by co-assembling short reads from multiple Single Amplified Genomes (SAGs) belonging to evolutionary closely related cells. We found that complementary genomic information is retrieved from different SAGs, generating co-assembly that features >74% of genome recovery, against about 20% when assembled individually. Even though this approach is not aimed at generating high-quality draft genomes, it allows accessing to the genomic information of microbes that would otherwise remain unreachable. Since most of the picoeukaryotes still remain uncultured, our work serves as a proof-of-concept that can be applied to other taxa in order to extract genomic data and address new ecological and evolutionary questions

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1103430390
Document Type :
Electronic Resource