Garin, V and Diallo, C and Tékété, M L and Théra, K and Guitton, B and Dagno, K and Diallo, A G and Kouressy, M and Leiser, W and Rattunde, F and Sissoko, I and Touré, A and Nébié, B and Samaké, M and Kholova, J and Berger, A and Frouin, J and Pot, D and Vaksmann, M and Weltzien, E and Témé, N and Rami, J F (2024) Characterization of adaptation mechanisms in sorghum using a multireference back-cross nested association mapping design and envirotyping. Genetics, 226 (4). pp. 1-17. ISSN 0016-6731
![[img]](http://oar.icrisat.org/style/images/fileicons/application_pdf.png) |
PDF
- Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) |
Abstract
Identifying the genetic factors impacting the adaptation of crops to environmental conditions is of key interest for conservation and selection purposes. It can be achieved using population genomics, and evolutionary or quantitative genetics. Here we present a sorghum multireference back-cross nested association mapping population composed of 3,901 lines produced by crossing 24 diverse parents to 3 elite parents from West and Central Africa-back-cross nested association mapping. The population was phenotyped in environments characterized by differences in photoperiod, rainfall pattern, temperature levels, and soil fertility. To integrate the multiparental and multi-environmental dimension of our data we proposed a new approach for quantitative trait loci (QTL) detection and parental effect estimation. We extended our model to estimate QTL effect sensitivity to environmental covariates, which facilitated the integration of envirotyping data. Our models allowed spatial projections of the QTL effects in agro-ecologies of interest. We utilized this strategy to analyze the genetic architecture of flowering time and plant height, which represents key adaptation mechanisms in environments like West Africa. Our results allowed a better characterization of well-known genomic regions influencing flowering time concerning their response to photoperiod with Ma6 and Ma1 being photoperiod-sensitive and the region of possible candidate gene Elf3 being photoperiod-insensitive. We also accessed a better understanding of plant height genetic determinism with the combined effects of phenology-dependent (Ma6) and independent (qHT7.1 and Dw3) genomic regions. Therefore, we argue that the West and Central Africa-back-cross nested association mapping and the presented analytical approach constitute unique resources to better understand adaptation in sorghum with direct application to develop climate-smart varieties.
| Item Type: | Article |
|---|---|
| Divisions: | Global Research Program - Accelerated Crop Improvement Research Program : West & Central Africa |
| CRP: | UNSPECIFIED |
| Uncontrolled Keywords: | multiparental populations, quantitative trait loci, multireference BCNAM, genotype by environment interaction, envirotyping, adaptation |
| Subjects: | Others > Crop Physiology Mandate crops > Sorghum Others > Genetics and Genomics |
| Depositing User: | Mr Nagaraju T |
| Date Deposited: | 27 Aug 2024 05:43 |
| Last Modified: | 27 Aug 2024 05:43 |
| URI: | http://oar.icrisat.org/id/eprint/12795 |
| Official URL: | https://academic.oup.com/genetics/article/226/4/iy... |
| Projects: | UNSPECIFIED |
| Funders: | Generation Challenge Programme, Swiss National Science Foundation, Faculty of Economics and Management at the Czech University of Life Sciences Prague |
| Acknowledgement: | The authors thank Madina Diancoumba and Jan Jarolímek for providing the environmental data that were used to perform the projection in the Malian environment. We also thank Jean-Christophe Glaszmann and the AdaptGrass project for the access to the sorghum whole-genome sequence data. |
| Links: |
Actions (login required)
 |
View Item |
Altmetric
Altmetric