Reche Deivid Lincoln, Gonçalves-Vidigal Maria Celeste, Vidigal Filho Pedro Soares, Vaz Bisneta Mariana, Lacanallo Giselly Figueiredo, Santos Alessandro A Brito Dos, Santos Abner Pais Dos
Department of Agronomy, Universidade Estadual de Maringá-UEM, Maringá, Brazil.
Plant Genome. 2025 Jun;18(2):e70024. doi: 10.1002/tpg2.70024.
The increase in world population linked to climate change leads to the need to develop more productive and more adapted cultivars of food species. Quantitative trait loci (QTLs) mapping is a useful tool although, interaction between genotype and the environment is still a challenge. In this study, we sought to identify QTL related to grain yield and the production components in common beans (Phaseolus vulgaris L.) supported by QTL environment interaction. Two hundred eight recombinant inbred lines obtained from the Awauna UEM IPR88 Uirapuru common bean cross were evaluated in 2017, 2018, and 2019 in field conditions under a 15 × 15 triple lattice experimental design. QTL mapping was estimated using genotypic means and a genetic linkage map with 288 single nucleotide polymorphism markers. Five QTLs associated with plant height (PH), number of pods per plant (NPP), first pod height (FPH), 100-seed weight (SW), and grain yield per plant (GYP) were identified on chromosomes Pv01, Pv04, Pv08, and Pv10. Interestingly, three of these QTLs were co-localized for more than one trait, where the QTL for PH, NPP, and GYP co-locate on Pv01, the QTL for PH and FPH co-locate on Pv04, and the QTL for NPP and SW co-locate on Pv08. In turn, on Pv10, two distinct QTLs were found for SW. The identification of these QTLs stands out in Brazil since relatively little research is directed at this economically important commercial group. It is noteworthy that the molecular markers found linked to the QTLs must later be validated to be used in a multi-trait marker-assisted selection.
与气候变化相关的世界人口增长导致需要培育更具生产力和适应性更强的食用作物品种。数量性状位点（QTL）定位是一种有用的工具，尽管基因型与环境之间的相互作用仍然是一个挑战。在本研究中，我们试图在QTL与环境相互作用的支持下，鉴定与菜豆（Phaseolus vulgaris L.）籽粒产量和生产构成要素相关的QTL。从Awauna UEM IPR88 Uirapuru菜豆杂交获得的208个重组自交系于2017年、2018年和2019年在田间条件下，采用15×15三重格子试验设计进行评估。使用基因型均值和具有288个单核苷酸多态性标记的遗传连锁图谱估计QTL定位。在Pv01、Pv04、Pv08和Pv10染色体上鉴定出与株高（PH）、单株荚数（NPP）、第一荚高度（FPH）、百粒重（SW）和单株籽粒产量（GYP）相关的5个QTL。有趣的是，其中3个QTL在多个性状上共定位，其中PH、NPP和GYP的QTL在Pv01上共定位，PH和FPH的QTL在Pv04上共定位，NPP和SW的QTL在Pv08上共定位。反过来，在Pv10上，发现了两个不同的SW QTL。这些QTL的鉴定在巴西很突出，因为针对这个具有重要经济意义的商业群体的研究相对较少。值得注意的是，发现与QTL连锁的分子标记后来必须经过验证才能用于多性状标记辅助选择。
