Record Details

Characterization of adaptation mechanisms in sorghum using a multireference back-cross nested association mapping design and envirotyping

OAR@ICRISAT

View Archive Info
 
 
Field Value
 
Relation http://oar.icrisat.org/12795/
https://academic.oup.com/genetics/article/226/4/iyae003/7612043
https://doi.org/10.1093/genetics/iyae003
 
Title Characterization of adaptation mechanisms in sorghum using a multireference back-cross nested association mapping design and envirotyping
 
Creator Garin, V
Diallo, C
Tékété, M L
Théra, K
Guitton, B
Dagno, K
Diallo, A G
Kouressy, M
Leiser, W
Rattunde, F
Sissoko, I
Touré, A
Nébié, B
Samaké, M
Kholova, J
Berger, A
Frouin, J
Pot, D
Vaksmann, M
Weltzien, E
Témé, N
Rami, J F
 
Subject Crop Physiology
Sorghum
Genetics and Genomics
 
Description 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.
 
Publisher Oxford University Press
 
Date 2024-02-21
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Rights cc_by_nc_nd
 
Identifier http://oar.icrisat.org/12795/1/Genetics_226_4_1-17_2024.pdf
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