Genome‐wide SNP discovery and genotyping delineates potential QTLs underlying major yield‐attributing traits in buckwheat

Author:

Naik Samiullah1,Sudan Jebi1,Urwat Uneeb1,Pakhtoon Mohammad Maqbool1,Bhat Basharat2,Sharma Varun3,Sofi Parvaze A.4,Shikari Asif B.4ORCID,Bhat Bilal A.5,Sofi Najeebul Rehman6,Prasad P. V. Vara7,Zargar Sajad Majeed1ORCID

Affiliation:

1. Proteomics Laboratory, Division of Plant Biotechnology, Faculty of Horticulture Sher‐e‐Kashmir University of Agricultural Sciences and Technology of Kashmir Srinagar India

2. Division of Animal Biotechnology Sher‐e‐Kashmir University of Agricultural Sciences and Technology of Kashmir Srinagar India

3. Bioinformatics Division NMC Genetics India Pvt. Ltd. Gurugram India

4. Division of Genetics and Plant Breeding Sher‐e‐Kashmir University of Agricultural Sciences and Technology of Kashmir Srinagar India

5. Mountain Agriculture Research & Extension Station Sher‐e‐Kashmir University of Agricultural Sciences and Technology of Kashmir Srinagar India

6. Mountain Research Centre for Field Crops Sher‐e‐Kashmir University of Agricultural Sciences and Technology of Kashmir Srinagar India

7. Sustainable Intensification Innovation Lab Kansas State University Manhattan Kansas USA

Abstract

AbstractBuckwheat (Fagopyrum spp.) is an important nutritional and nutraceutical‐rich pseudo‐cereal crop. Despite its obvious potential as a functional food, buckwheat has not been fully harnessed due to its low yield, self‐incompatibility, increased seed cracking, limited seed set, lodging, and frost susceptibility. The inadequate availability of genomics resources in buckwheat is one of the major reasons for this. In the present study, genome‐wide association mapping (GWAS) was conducted to identify loci associated with various morphological and yield‐related traits in buckwheat. High throughput genotyping by sequencing led to the identification of 34,978 single nucleotide polymorphisms that were distributed across eight chromosomes. Population structure analysis grouped the genotypes into three sub‐populations. The genotypes were also characterized for various qualitative and quantitative traits at two diverse locations, the analysis of which revealed a significant difference in the mean values. The association analysis revealed a total of 71 significant marker–trait associations across eight chromosomes. The candidate genes were identified near 100 Kb of quantitative trait loci (QTLs), providing insights into several metabolic and biosynthetic pathways. The integration of phenology and GWAS in the present study is useful to uncover the consistent genomic regions, related markers associated with various yield‐related traits, and potential candidate genes having implications for being utilized in molecular breeding for the improvement of economically important traits in buckwheat. Moreover, the identified QTLs will assist in tracking the desirable alleles of target genes within the buckwheat breeding populations/germplasm.

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Genetics

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