Mapping Quantitative Trait Loci (QTLs) for Hundred-Pod and Hundred-Seed Weight under Seven Environments in a Recombinant Inbred Line Population of Cultivated Peanut (Arachis hypogaea L.)

Genes (Basel). 2023 Sep 13;14(9):1792. doi: 10.3390/genes14091792.

Abstract

The cultivated peanut (Arachis hypogaea L.) is a significant oil and cash crop globally. Hundred-pod and -seed weight are important components for peanut yield. To unravel the genetic basis of hundred-pod weight (HPW) and hundred-seed weight (HSW), in the current study, a recombinant inbred line (RIL) population with 188 individuals was developed from a cross between JH5 (JH5, large pod and seed weight) and M130 (small pod and seed weight), and was utilized to identify QTLs for HPW and HSW. An integrated genetic linkage map was constructed by using SSR, AhTE, SRAP, TRAP and SNP markers. This map consisted of 3130 genetic markers, which were assigned to 20 chromosomes, and covered 1998.95 cM with an average distance 0.64 cM. On this basis, 31 QTLs for HPW and HSW were located on seven chromosomes, with each QTL accounting for 3.7-10.8% of phenotypic variance explained (PVE). Among these, seven QTLs were detected under multiple environments, and two major QTLs were found on B04 and B08. Notably, a QTL hotspot on chromosome A08 contained seven QTLs over a 2.74 cM genetic interval with an 0.36 Mb physical map, including 18 candidate genes. Of these, Arahy.D52S1Z, Arahy.IBM9RL, Arahy.W18Y25, Arahy.CPLC2W and Arahy.14EF4H might play a role in modulating peanut pod and seed weight. These findings could facilitate further research into the genetic mechanisms influencing pod and seed weight in cultivated peanut.

Keywords: HPW; HSW; QTL mapping; cultivated peanut; integrated genetic map.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Arachis* / genetics
  • Chromosome Mapping
  • Genetic Markers
  • Humans
  • Quantitative Trait Loci*
  • Seeds / genetics

Substances

  • Genetic Markers

Grants and funding

This research was supported by the National Natural Science Foundation of China (Grant No. 31701459); the Top Young Talents Support Program of Hebei Province (Grant No. 0602015); the Science and Technology Research Programs of Higher Education of Hebei Province (Grant No. ZD2022069); and was funded by the State Key Laboratory of North China for Crop Improvement and Regulation (Grant No. NCCIR2022zz-6).