Genome-wide association study to identify genomic loci associated with early vigor in bread wheat under simulated water deficit complemented with quantitative trait loci meta-analysis

被引:6
|
作者
Rahimi, Yousef [1 ]
Khahani, Bahman [2 ]
Jamali, Ali [3 ]
Alipour, Hadi [4 ]
Bihamta, Mohammad Reza [3 ]
Ingvarsson, Par K. [1 ]
机构
[1] Swedish Univ Agr Sci, Uppsala BioCtr, Linnean Ctr Plant Biol Uppsala, Dept Plant Biol, S-75007 Uppsala, Sweden
[2] Shiraz Univ, Coll Agr, Dept Plant Genet & Prod, Shiraz 7144165186, Iran
[3] Univ Tehran, Fac Agr, Dept Agron & Plant Breeding, Karaj 3158777871, Iran
[4] Urmia Univ, Fac Agr, Dept Plant Breeding & Biotechnol, Orumiyeh 5756151818, Iran
来源
G3-GENES GENOMES GENETICS | 2023年 / 13卷 / 02期
关键词
GWAS; FarmCPU; MQTL; wheat; water deficit; early vigor; plant genetics and genomics; OXIDATIVE STRESS TOLERANCE; DROUGHT RESISTANCE; GRAIN-YIELD; GENE; RICE; IMPROVEMENT; DENSITY; QTL; IDENTIFICATION; DEGRADATION;
D O I
10.1093/g3journal/jkac320
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
A genome-wide association study (GWAS) was used to identify associated loci with early vigor under simulated water deficit and grain yield under field drought in a diverse collection of Iranian bread wheat landraces. In addition, a meta-quantitative trait loci (MQTL) analysis was used to further expand our approach by retrieving already published quantitative trait loci (QTL) from recombinant inbred lines, double haploids, back-crosses, and F-2 mapping populations. In the current study, around 16%, 14%, and 16% of SNPs were in significant linkage disequilibrium (LD) in the A, B, and D genomes, respectively, and varied between 5.44% (4A) and 21.85% (6A). Three main subgroups were identified among the landraces with different degrees of admixture, and population structure was further explored through principal component analysis. Our GWAS identified 54 marker-trait associations (MTAs) that were located across the wheat genome but with the highest number found in the B sub-genome. The gene ontology (GO) analysis of MTAs revealed that around 75% were located within or closed to protein-coding genes. In the MQTL analysis, 23 MQTLs, from a total of 215 QTLs, were identified and successfully projected onto the reference map. MQT-YLD4, MQT-YLD9, MQT-YLD13, MQT-YLD17, MQT-YLD18, MQT-YLD19, and MQTL-RL1 contributed to the highest number of projected QTLs and were therefore regarded as the most reliable and stable QTLs under water deficit conditions. These MQTLs greatly facilitate the identification of putative candidate genes underlying at each MQTL interval due to the reduced confidence of intervals associated with MQTLs. These findings provide important information on the genetic basis of early vigor traits and grain yield under water deficit conditions and set the foundation for future investigations into adaptation to water deficit in bread wheat.
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页数:16
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