Publications des scientifiques de l'IRD

Djedatin G., Monat C., Engelen S., Sabot François. (2017). DuplicationDetector, a light weight tool for duplication detection using NGS data. In : Naithani S. (ed.), Albrecht A. (ed.). Plant development. Current Plant Biology, 9-10 (No spécial), 23-28. ISSN 2214-6628.

Titre du document
DuplicationDetector, a light weight tool for duplication detection using NGS data
Année de publication
2017
Type de document
Article référencé dans le Web of Science WOS:000453163400004
Auteurs
Djedatin G., Monat C., Engelen S., Sabot François
In
Naithani S. (ed.), Albrecht A. (ed.), Plant development
Source
Current Plant Biology, 2017, 9-10 (No spécial), 23-28 ISSN 2214-6628
Duplications are one on the main evolutionary forces in angiosperm, especially in Poaceae. A large number of genes involved in various metabolisms and pathways originate from such duplications (whole genome, segmental or single gene). However, to detect such duplication may be complicated, costly and generally requires heavy human and material investments. Here, we propose an alternative approach for detecting putative recent segmental duplications in haploid or diploid homozygous organisms based on NGS data. We rely on abusive mappings of paralogous sequences that increase apparent heterozygous points at a given locus to identify such duplicated genomic regions. We test our tool on simulated data, then on truerice genomic sequences and were able to identify about 200 candidate duplicated genes in African rice (Oryza glaberrima) lineage compared to Asian one (O. sativa).
Plan de classement
Amélioration des plantes, ressources génétiques [076AMEPLA]
Localisation
Fonds IRD [F B010080162]
Identifiant IRD
fdi:010080162
Contact