AUTHOR=Sharma Vinay , Gangurde Sunil S. , Nayak Spurthi N. , Gowda Anjan S. , Sukanth B.S. , Mahadevaiah Supriya S. , Manohar Surendra S. , Choudhary Rakeshkumar S. , Anitha T. , Malavalli Sachin S. , Srikanth S.N. , Bajaj Prasad , Sharma Shailendra , Varshney Rajeev K. , Latha Putta , Janila Pasupuleti , Bhat Ramesh S. , Pandey Manish K. TITLE=Genetic mapping identified three hotspot genomic regions and candidate genes controlling heat tolerance-related traits in groundnut JOURNAL=Frontiers in Plant Science VOLUME=14 YEAR=2023 URL=https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2023.1182867 DOI=10.3389/fpls.2023.1182867 ISSN=1664-462X ABSTRACT=
Groundnut productivity and quality have been impeded by rising temperatures in semi-arid environments. Hence, understanding the effects and molecular mechanisms of heat stress tolerance will aid in tackling yield losses. In this context, a recombinant inbred line (RIL) population was developed and phenotyped for eight seasons at three locations for agronomic, phenological, and physiological traits under heat stress. A genetic map was constructed using genotyping-by-sequencing with 478 single-nucleotide polymorphism (SNP) loci spanning a map distance of 1,961.39 cM. Quantitative trait locus (QTL) analysis using phenotypic and genotypic data identified 45 major main-effect QTLs for 21 traits. Intriguingly, three QTL clusters (Cluster-1-Ah03, Cluster-2-Ah12, and Cluster-3-Ah20) harbor more than half of the major QTLs (30/45, 66.6%) for various heat tolerant traits, explaining 10.4%–38.6%, 10.6%–44.6%, and 10.1%–49.5% of phenotypic variance, respectively. Furthermore, important candidate genes encoding