QTL‐seq identified QTLs and candidate genes for two‐seed pod length and width in soybean (Glycine max)

Abstract

Seed size is an important factor affecting soybean (Glycine max) yield and quality, and the length and width of the pods are significantly related to the seed size. Soybean two‐seed pod is a stable pod‐setting trait. Based on soybean chromosome segment substitution line (CSSL), QTL‐seq method was used to locate the QTL of soybean two‐seed pod length (TSPL) and width (TSPW) and to mine the related genesA total of 3 QTLs for TSPL and 5 QTLs for TSPW were obtained. Among them, the positions of qTSPL‐B1‐1 and qTSPW‐B1‐1 overlapped, and this overlapping interval was used as the major QTL for soybean TSPL and TSPW. Haplotype analysis revealed that the haplotype variation of Glyma.11G051600 would cause the phenotypes of TSPL and TSPW to vary. RT‐pcr showed that the expression of Glyma.11G051600 was closely related to the development of soybean TSPL and TSPW. Therefore, Glyma.11G051600 was used as a common gene to regulate the growth and development of TSPL and TSPW. These results provide a basis for research on candidate genes and marker‐assisted selection (MAS) for soybean breeding.

Mapping of a QTL associated with sucrose content in peanut kernels using BSA-seq

“…The principle of the BSA-seq method is based on the selection of individuals in a population with bipolar characteristics to construct mixed pools, the whole genomes of which are sequenced to identify causal genes associated with traits of interest ( Liu et al, 2020b ). With the emergence and development of high-throughput sequencing technology, given its high efficiency, the BSA-seq method has been widely used in the analysis of important agronomic characters of soybean ( Xie et al, 2021 ), rice ( Yang et al, 2021 ), sesame ( Sheng et al, 2021 ), and other crops. In peanut, this method has been used for quantitative trait gene mining for traits such as fresh seed dormancy ( Kumar et al, 2020 ), seed coat color ( Chen et al, 2021 ), and late leaf spot resistance ( Clevenger et al, 2018 ; Han et al, 2022 ).…”

Fine mapping and candidate gene analysis of proportion of four-seed pods by soybean CSSLs

“…The yield of soybean is affected by multiple factors, such as 100-seed weight, the number of pods per plant, the number of seeds per plant and the number of seeds per pod. These are all quantitative traits controlled by multiple genes and are easily affected by environmental factors ( Xie et al., 2021 ). The total number of soybean pods per plant is one of the main factors limiting soybean yield.…”