Identification of QTL for Tolerance to Flooding Stress at Seedling Stage of Soybean (Glycine max L. Merr.)

Abstract

Flooding stress is a serious problem in soybean production, causing a remarkable yield reduction. The onset of rainy season during the early growth of soybean in Korea and some other parts of the world potentially subjects soybean plants to flooding stress. The objective of this study was to map quantitative trait loci (QTL) for flooding tolerance using a recombinant inbred line (RIL) population derived from a cross between ‘Danbaekkong’ (flood-tolerant) and ‘NTS1116′ (flood-susceptible) cultivars grown in a plastic house for two years. The plants were flood-stressed at the V1-V2 stage by ponding about 10 cm water from the soil surface. Leaf chlorophyll content and shoot dry weight were measured under control and flooded conditions to map the QTL. The genetic map was constructed using 1689 polymorphic markers obtained from the 180K Axiom® SoyaSNP markers used for genotyping the population. Ten QTL with 3.39–5.14 logarithm of odds scores and 8.1–30.7% phenotypic variations (PVE) were identified on seven chromosomes. One QTL on chromosomes 6 and 15 and two QTL on chromosome 7 were detected at least in two different environments causing up to 30.7% PVE, suggesting their potential applications in the breeding of flood-tolerant soybeans. The results could be useful in further exploring the genetic basis of flooding tolerance and developing tolerant cultivars of soybean.

The intervention of classical and molecular breeding approaches to enhance flooding stress tolerance in soybean – An review

“…In another study, several QTL were mapped for soybean flood tolerance at the seedling phase. Two significant QTL were detected on chromosomes 7 and 3 under DWI in 2017 and 2018, exhibiting the highest (25.6%) and lowest (8.3%) phenotypic variance, correspondingly ( Dhungana et al., 2021b ). Seed water logging tolerance is critical to sustaining soybean growth and production under flood stress.…”

“…QTL mapping has been widely used to unlock the novel QTL contributing to flooding tolerance in soybean. Various QTL were identified using different mapping populations to accelerate marker-assisted selection programs ( Dhungana et al., 2021b ; Zhang et al., 2022 ). Genome-wise association studies (GWAS) have identified new genes for soybean response to flood stress ( Sharmin et al., 2021 ).…”

Towards Developing Drought-smart Soybeans

“…This QTL accounts for 30.25% variation in phenotype and will assist in developing of markers for root-length selection, which is an important trait for drought tolerance. Dhungana et al (2021) identified QTLs associated with flooding stress at the V1-V2 stage of soybean. They analysed a recombinant inbred line (RIL) population derived from crossing a drought-susceptible (NTS116) and drought-tolerant (Danbaekkong) soybean cultivar.…”

Construction of the first high-density SNP genetic map and identification of QTLs for the natural rubber content in Taraxacum kok-saghyz Rodin

“…Genetic mapping is essential for QTL mapping, map-based cloning, and MAS [ 29 ] and has been widely used in many major crops [ 17 , 27 , 28 , 30 ]. In the past decade, although a great quantity of TKS molecular markers (SSRs and SNPs) have been developed, they have mostly been used in research on the genetic diversity and population structure of TKS [ 7 , 20 , 21 , 23 , 24 ].…”

“…Numerous SNP markers obtained by high-throughput sequencing could be used for constructing high-density genetic maps and QTL mapping for important traits [18,25], and this approach has proven effective in many major crops [17,[26][27][28]. Recently, through further splicing and optimizing the TKS genome constructed in 2018 [2], a TKS genome sketch at the chromosome level was published in 2021, which provided a solid foundation for high-density SNP genetic map construction, QTL fine mapping and MAS for TKS breeding [1].…”