Abstract

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 to Rice 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 the O. glaberrima genome, paving the way for in-depth studies of the genetic basis of traits of interest that might be useful to the rice breeding community.

Details

Title
Genome Wide Association Study Pinpoints Key Agronomic QTLs in African Rice Oryza glaberrima
Author
Cubry Philippe 1   VIAFID ORCID Logo  ; Pidon Hélène 2 ; Ta Kim Nhung 3 ; Tranchant-Dubreuil Christine 1 ; Anne-Céline, Thuillet 1 ; Holzinger, Maria 1 ; Adam, Hélène 1 ; Kam Honoré 4 ; Chrestin Harold 1 ; Ghesquière Alain 1 ; Olivier, François 5 ; Sabot François 1 ; Vigouroux Yves 1 ; Albar, Laurence 1 ; Jouannic Stefan 6 

 DIADE, Univ Montpellier, IRD, Montpellier, France (GRID:grid.503155.7) 
 DIADE, Univ Montpellier, IRD, Montpellier, France (GRID:grid.503155.7); Present address: Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany (GRID:grid.503155.7) 
 LMI RICE, AGI, IRD, Univ Montpellier, CIRAD, USTH, Hanoi, Vietnam (GRID:grid.499672.7); Present address: National Institute of Genetics, Mishima, Japan (GRID:grid.288127.6) (ISNI:0000 0004 0466 9350) 
 INERA, Bobo Dioulasso, Burkina Faso (GRID:grid.434777.4) (ISNI:0000 0004 0570 9190) 
 Centre National de la Recherche Scientifique, Université Grenoble-Alpes, Grenoble, France (GRID:grid.457026.2) 
 DIADE, Univ Montpellier, IRD, Montpellier, France (GRID:grid.503155.7); LMI RICE, AGI, IRD, Univ Montpellier, CIRAD, USTH, Hanoi, Vietnam (GRID:grid.499672.7) 
Publication year
2020
Publication date
Dec 2020
Publisher
Springer Nature B.V.
ISSN
19398425
e-ISSN
19348037
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2442836583
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.