Genome-Wide Analyses Reveal Footprints of Divergent Selection and Drought Adaptive Traits in Synthetic-Derived Wheats

Author:

Afzal Fakiha1,Li Huihui23,Gul Alvina14,Subhani Abid5,Ali Ahmad6,Mujeeb-Kazi Abdul7,Ogbonnaya Francis8,Trethowan Richard9,Xia Xianchun2,He Zhonghu23,Rasheed Awais2310

Affiliation:

1. Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, H-12 Islamabad, Pakistan

2. Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS) and

3. International Maize and Wheat Improvement Centre (CIMMYT), c/o CAAS, Beijing 100081, China

4. School of Integrative Plant Science, Cornell University, Ithaca, NY 14853

5. Barani Agricultural Research Institute (BARI), Chakwal, Pakistan

6. Center for Plant Science and Biodiversity, University of Swat, Swat, Paksitan

7. Texas A&M University, Amarillo, TX 79106

8. Grains Research & Development Corporation, Kingston, Australia

9. Plant Breeding Institute, School of Life and Environmental Sciences, The University of Sydney, Sydney 2006, Australia, and

10. Department of Plant Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan

Abstract

Abstract Crop-wild introgressions have long been exploited without knowing the favorable recombination points. Synthetic hexaploid wheats are one of the most exploited genetic resources for bread wheat improvement. However, despite some QTL with major effects, much less is known about genome-wide patterns of introgressions and their effects on phenotypes. We used two genome-wide association approaches: SNP-GWAS and haplotype-GWAS to identify SNPs and haplotypes associated with productivity under water-limited conditions in a synthetic-derived wheat (SYN-DER) population. Haplotype-GWAS further enriched and identified 20 more genomic regions associated with drought adaptability that did not overlap with SNP-GWAS. Since GWAS is biased to the phenotypes in the study and may fail to detect important genetic diversity during breeding, we used five complementary analytical approaches (t-test, Tajima’s D, nucleotide diversity (π), Fst, and EigenGWAS) to identify divergent selections in SYN-DER compared to modern bread wheat. These approaches consistently pinpointed 89 ‘selective sweeps’, out of which 30 selection loci were identified on D-genome. These key selections co-localized with important functional genes of adaptive traits such as TaElf3-D1 (1D) for earliness per se (Eps), TaCKX-D1 (3D), TaGS1a (6D) and TaGS-D1 (7D) for grain size, weight and morphology, TaCwi-D1 (5D) influencing drought tolerance, and Vrn-D3 (7D) for vernalization. Furthermore, 55 SNPs and 23 haplotypes of agronomic and physiological importance such as grain yield, relative water content and thousand grain weight in SYN-DER, were among the top 5% of divergent selections contributed by synthetic hexaploid wheats. These divergent selections associated with improved agronomic performance carry new alleles that have been introduced to wheat. Our results demonstrated that GWAS and selection sweep analyses are powerful approaches for investigating favorable introgressions under strong selection pressure and the use of crop-wild hybridization to assist the improvement of wheat yield and productivity under moisture limiting environments.

Publisher

Oxford University Press (OUP)

Subject

Genetics(clinical),Genetics,Molecular Biology

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