Gonal Basanagouda, Sampangi Ramesh, Mugali Kalpana Pundalik, Chindi Siddu Basavaraj, Chandana B R, Satish H, Prashantha V, Karthik N, Sindhu D, Kemparaju M, Sinchana B V
Department of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India.
Sci Rep. 2025 Mar 12;15(1):8613. doi: 10.1038/s41598-025-90558-3.
Identification and validation of quantitative trait loci (QTL) governing desired phenotype of target trait is a prerequisite to implement marker-assisted selection in any crop including dolichos bean. Under this premise, we used two mapping populations (MPs) to detect and cross population validate QTL controlling fresh pod yield. One of the MPs consisted of F individuals (MP1) derived from crossing two elite genotypes, the second MP consisted of random RILs (MP2) derived from a different pair of elite genotypes. The MP1 and MP2 were genotyped using polymorphic 86 and 91 SSR markers, respectively and linkage maps were constructed using QTL IciM mapping software. The MP1 and MP2 were phenotyped during 2021 and 2017 rainy and post rainy seasons, respectively for fresh pod yield plant following two-replicated simple lattice design. QTL maps were developed in MP1 and MP2 using genotype and phenotype data. Our results indicated that the estimates of total map length, average map length per linkage group (LG) and average inter-marker distance in MP2 were greater (by at least 1.5 times) than those in MP1. While seven QTLs were detected in MP1, six were detected in MP2 with three QTL exhibiting positive and additive minor effects for fresh pod yield plant. We also detected one common minor positive effect QTL across two seasons in MP2 and significant epistatic QTL, whose main effects were non-significant. One each of the seven and six QTL-linked SSR markers detected in MP1 and MP2, respectively were cross-population validated. The implications of these results are discussed in relation to strategies to breed dolichos bean.
鉴定和验证控制目标性状理想表型的数量性状位点（QTL）是在包括长豇豆在内的任何作物中实施标记辅助选择的先决条件。在此前提下，我们使用了两个作图群体（MP）来检测和跨群体验证控制鲜荚产量的QTL。其中一个MP由两个优良基因型杂交产生的F个体（MP1）组成，第二个MP由另一对优良基因型产生的随机重组自交系（MP2）组成。分别使用86个和91个多态性SSR标记对MP1和MP2进行基因分型，并使用QTL IciM作图软件构建连锁图谱。MP1和MP2分别在2021年和2017年雨季及雨季后对鲜荚产量进行表型分析，采用两重复简单格子设计。利用基因型和表型数据在MP1和MP2中开发了QTL图谱。我们的结果表明，MP2中总图谱长度、每个连锁群（LG）的平均图谱长度和平均标记间距离的估计值比MP1中的估计值大（至少1.5倍）。虽然在MP1中检测到7个QTL，但在MP2中检测到6个，其中3个QTL对鲜荚产量表现出正向和加性微效。我们还在MP2的两个季节中检测到一个共同的微效正向QTL和显著的上位性QTL，其主效应不显著。在MP1和MP2中分别检测到的7个和6个与QTL连锁的SSR标记中各有一个进行了跨群体验证。结合长豇豆育种策略对这些结果的意义进行了讨论。
