Cubry Philippe, Pidon H., Ta K. N., Dubreuil Tranchant Christine, Thuillet Anne-Céline, Holzinger M., Adam Hélène, Kam H., Chrestin Harold, Ghesquière Alain, Francois O., Sabot François, Vigouroux Yves, Albar Laurence, Jouannic Stefan. (2020). Genome wide association study pinpoints key agronomic QTLs in African rice Oryza glaberrima. Rice, 13 (1), p. 66 [12 p.]. ISSN 1939-8425.
Titre du document
Genome wide association study pinpoints key agronomic QTLs in African rice Oryza glaberrima
Année de publication
2020
Auteurs
Cubry Philippe, Pidon H., Ta K. N., Dubreuil Tranchant Christine, Thuillet Anne-Céline, Holzinger M., Adam Hélène, Kam H., Chrestin Harold, Ghesquière Alain, Francois O., Sabot François, Vigouroux Yves, Albar Laurence, Jouannic Stefan
Source
Rice, 2020,
13 (1), p. 66 [12 p.] ISSN 1939-8425
Background African rice,Oryza glaberrima, is an invaluable resource for rice cultivation and for the improvement of biotic and abiotic resistance properties. Since its domestication in the inner Niger delta ca. 2500 years BP, African rice has colonized a variety of ecologically and climatically diverse regions. However, little is known about the genetic basis of quantitative traits and adaptive variation of agricultural interest for this species. Results Using a reference set of 163 fully re-sequenced accessions, we report the results of a Genome Wide Association Study carried out for African rice. We investigated a diverse panel of traits, including flowering date, panicle architecture and resistance toRice yellow mottle virus. For this, we devised a pipeline using complementary statistical association methods. First, using flowering time as a target trait, we found several association peaks, one of which co-localised with a well described gene in the Asian rice flowering pathway,OsGi, and identified new genomic regions that would deserve more study. Then we applied our pipeline to panicle- and resistance-related traits, highlighting some interesting genomic regions and candidate genes. Lastly, using a high-resolution climate database, we performed an association analysis based on climatic variables, searching for genomic regions that might be involved in adaptation to climatic variations. Conclusion Our results collectively provide insights into the extent to which adaptive variation is governed by sequence diversity within theO. glaberrimagenome, paving the way for in-depth studies of the genetic basis of traits of interest that might be useful to the rice breeding community.
Plan de classement
Sciences du monde végétal [076]
Description Géographique
AFRIQUE
Localisation
Fonds IRD [F B010079766]
Identifiant IRD
fdi:010079766
