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ARS Home » Southeast Area » Miami, Florida » Subtropical Horticulture Research » Research » Publications at this Location » Publication #408369

Research Project: Development and Application of Genomic-assisted Breeding Strategies to Produce Disease-resistant Cacao Genetic Resources

Location: Subtropical Horticulture Research

Title: Genetic analysis of iron, zinc and grain yield in wheat using multi-locus GWAS

item KAUR, HARNEET - College Of Agriculture
item SHARMA, PRACHI - College Of Agriculture
item KUMAR, JITENDRA - Chaudhary Charan Singh University
item SINGH, VIKAS - College Of Agriculture
item VASISTHA, NEERAJ - College Of Agriculture
item GAHLAUT, VIJAY - Chandigarh University
item TYAGI, VIKRANT - College Of Agriculture
item VERMA, S - University Of Delhi
item Singh, Sukhwinder
item DHALIWAL, H - College Of Agriculture
item SHEIKH, IMRAN - College Of Agriculture

Submitted to: Molecular Biology Reports
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 9/5/2023
Publication Date: N/A
Citation: N/A

Interpretive Summary: Wheat is a major staple crop and helps to reduce worldwide micro nutrient deficiency. Investigating the genetics that controls the concentrations of iron (Fe) and zinc (Zn) in wheat is crucial. Hence, we conducted a comprehensive study to explore the genomic regions associated with grain Fe and Zn contents. The important MTAs and CGs identified in the present study will be useful for improving nutrition quality and yield in wheat through marker-assisted selection (MAS).

Technical Abstract: We performed the multi-locus genome-wide association (ML-GWAS) using a panel of 161 wheat-Aegilops substitution and addition lines to dissect the genomic regions controlling grain iron (GFeC), and grain zinc (GZnC) contents. The wheat panel was genotyped using 10,825 high-quality SNPs and phenotyped in three different environments (E1- E3) during 2017–2019. A total of 111 marker-trait associations (MTAs) (at p-value < 0.001) were detected that belong to all three sub-genomes of wheat. The highest number of MTAs were identified for GFeC (58), followed by GZnC (44) and yield (9). Further, six stable MTAs were identified for these three traits and also two pleiotropic MTAs were identified for GFeC and GZnC. A total of 1291 putative candidate genes (CGs) were also identified for all three traits. These CGs encode a diverse set of proteins, including heavy metal-associated (HMA), bZIP family protein, AP2/ERF, and protein previously associated with GFeC, GZnC, and grain yield.