David Couvin

Dr. David Couvin

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 May 2018 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
DCDavid Couvin
David Couvin
ABAude Bernheim
Aude Bernheim
CTClaire Toffano-Nioche
Claire Toffano-Nioche
MTMarie Touchon
Marie Touchon
JMJuraj Michalik
Juraj Michalik
CPChristine Pourcel
Christine Pourcel
CRISPR (clustered regularly interspaced short palindromic repeats) arrays and their associated (Cas) proteins confer bacteria and archaea adaptive immunity against exogenous mobile genetic elements, such as phages or plasmids. CRISPRCasFinder allows the identification of both CRISPR arrays and Cas proteins. The program includes: (i) an improved CRISPR array detection tool facilitating expert validation based on a rating system, (ii) prediction of CRISPR orientation and (iii) a Cas protein detection and typing tool updated to match the latest classification scheme of these systems. CRISPRCasFinder can either be used online or as a standalone tool compatible with Linux operating system. All third-party software packages employed by the program are freely available. CRISPRCasFinder is available at https://crisprcas.i2bc.paris-saclay.fr.

1 June 2012 in Infection, Genetics and Evolution
Verified
Journal Article
Closed access
CDChristophe Demay
Christophe Demay
BLBenjamin Liens
Benjamin Liens
TBThomas Burguière
Thomas Burguière
VHVéronique Hill
Véronique Hill
DCDavid Couvin
David Couvin
NRNalin Rastogi
Nalin Rastogi

18 October 2019 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
CPChristine Pourcel
Christine Pourcel
MTMarie Touchon
Marie Touchon
NVNicolas Villeriot
Nicolas Villeriot
JVJean-Philippe Vernadet
Jean-Philippe Vernadet
DCDavid Couvin
David Couvin
Gilles VergnaudGilles Vergnaud
Gilles Vergnaud
In Archaea and Bacteria, the arrays called CRISPRs for ‘clustered regularly interspaced short palindromic repeats’ and the CRISPR associated genes or cas provide adaptive immunity against viruses, plasmids and transposable elements. Short sequences called spacers, corresponding to fragments of invading DNA, are stored in-between repeated sequences. The CRISPR–Cas systems target sequences homologous to spacers leading to their degradation. To facilitate investigations of CRISPRs, we developed 12 years ago a website holding the CRISPRdb. We now propose CRISPRCasdb, a completely new version giving access to both CRISPRs and cas genes. We used CRISPRCasFinder, a program that identifies CRISPR arrays and cas genes and determine the system's type and subtype, to process public whole genome assemblies. Strains are displayed either in an alphabetic list or in taxonomic order. The database is part of the CRISPR-Cas++ website which also offers the possibility to analyse submitted sequences and to download programs. A BLAST search against lists of repeats and spacers extracted from the database is proposed. To date, 16 990 complete prokaryote genomes (16 650 bacteria from 2973 species and 340 archaea from 300 species) are included. CRISPR–Cas systems were found in 36% of Bacteria and 75% of Archaea strains. CRISPRCasdb is freely accessible at https://crisprcas.i2bc.paris-saclay.fr/.

1 August 2019 in Infection, Genetics and Evolution
Verified
Journal Article
Closed access
DCDavid Couvin
David Couvin
ADAudrey David
Audrey David
TZThierry Zozio
Thierry Zozio
NRNalin Rastogi
Nalin Rastogi

1 August 2018 in PLOS ONE
Verified
Journal Article
Open access
PDF file
VCViolet N Chihota
Violet N Chihota
ANAntoinette Niehaus
Antoinette Niehaus
ESElizabeth M Streicher
Elizabeth M Streicher
XWXia Wang
Xia Wang
SSSamantha L Sampson
Samantha L Sampson
RWRobin M Warren
Robin M Warren
To investigate the distribution of Mycobacterium tuberculosis genotypes across Africa. The SITVIT2 global repository and PUBMED were searched for spoligotype and published genotype data respectively, of M. tuberculosis from Africa. M. tuberculosis lineages in Africa were described and compared across regions and with those from 7 European and 6 South-Asian countries. Further analysis of the major lineages and sub-lineages using Principal Component analysis (PCA) and hierarchical cluster analysis were done to describe clustering by geographical regions. Evolutionary relationships were assessed using phylogenetic tree analysis. A total of 14727 isolates from 35 African countries were included in the analysis and of these 13607 were assigned to one of 10 major lineages, whilst 1120 were unknown. There were differences in geographical distribution of major lineages and their sub-lineages with regional clustering. Southern African countries were grouped based on high prevalence of LAM11-ZWE strains; strains which have an origin in Portugal. The grouping of North African countries was due to the high percentage of LAM9 strains, which have an origin in the Eastern Mediterranean region. East African countries were grouped based on Central Asian (CAS) and East-African Indian (EAI) strain lineage possibly reflecting historic sea trade with Asia, while West African Countries were grouped based on Cameroon lineage of unknown origin. A high percentage of the Haarlem lineage isolates were observed in the Central African Republic, Guinea, Gambia and Tunisia, however, a mixed distribution prevented close clustering. This study highlighted that the TB epidemic in Africa is driven by regional epidemics characterized by genetically distinct lineages of M. tuberculosis. M. tuberculosis in these regions may have been introduced from either Europe or Asia and has spread through pastoralism, mining and war. The vast array of genotypes and their associated phenotypes should be considered when designing future vaccines, diagnostics and anti-TB drugs.