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A novel QTL associated with tolerance to cold-induced seed cracking in the soybean cultivar Toyomizuki.

ABSTRACT: Low temperatures after flowering cause seed cracking (SC) in soybean. Previously, we reported that proanthocyanidin accumulation on the dorsal side of the seed coat, controlled by the I locus, may lead to cracked seeds; and that homozygous IcIc alleles at the I locus confer SC tolerance in the line Toiku 248. To discover new genes related to SC tolerance, we evaluated the physical and genetic mechanisms of SC tolerance in the cultivar Toyomizuki (genotype II). Histological and texture analyses of the seed coat revealed that the ability to maintain hardness and flexibility under low temperature, regardless of proanthocyanidin accumulation in the dorsal seed coat, contributes to SC tolerance in Toyomizuki. This indicated that the SC tolerance mechanism differed between Toyomizuki and Toiku 248. A quantitative trait loci (QTL) analysis of recombinant inbred lines revealed a new, stable QTL related to SC tolerance. The relationship between this new QTL, designated as qCS8-2, and SC tolerance was confirmed in residual heterozygous lines. The distance between qCS8-2 and the previously identified QTL qCS8-1, which is likely the Ic allele, was estimated to be 2-3 Mb, so it will be possible to pyramid these regions to develop new cultivars with increased SC tolerance.

SUBMITTER: Yamaguchi N

PROVIDER: S-EPMC10316309 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

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A novel QTL associated with tolerance to cold-induced seed cracking in the soybean cultivar Toyomizuki.

Yamaguchi Naoya N Sato Yumi Y Taguchi-Shiobara Fumio F Yamashita Kazuki K Kawasaki Michio M Ishimoto Masao M Senda Mineo M

Breeding science 20230425 2

Low temperatures after flowering cause seed cracking (SC) in soybean. Previously, we reported that proanthocyanidin accumulation on the dorsal side of the seed coat, controlled by the I locus, may lead to cracked seeds; and that homozygous IcIc alleles at the I locus confer SC tolerance in the line Toiku 248. To discover new genes related to SC tolerance, we evaluated the physical and genetic mechanisms of SC tolerance in the cultivar Toyomizuki (genotype II). Histolo ...[more]

PMID: 37404349

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Project description:BackgroundSeed aging in soybean is a serious challenge for agronomic production and germplasm preservation. However, its genetic basis remains largely unclear in soybean. Unraveling the genetic mechanism involved in seed aging, and enhancing seed storability is an imperative goal for soybean breeding. The aim of this study is to identify quantitative trait loci (QTLs) using high-density genetic linkage maps of soybean for seed storability. In this regard, two recombinant inbred line (RIL) populations derived from Zhengyanghuangdou × Meng 8206 (ZM6) and Linhefenqingdou × Meng 8206 (LM6) crosses were evaluated for three seed-germination related traits viz., germination rate (GR), normal seedling length (SL) and normal seedling fresh weight (FW) under natural and artificial aging conditions to map QTLs for seed storability.ResultsA total of 34 QTLs, including 13 QTLs for GR, 11 QTLs for SL and 10 QTLs for FW, were identified on 11 chromosomes with the phenotypic variation ranged from 7.30 to 23.16% under both aging conditions. All these QTLs were novel, and 21 of these QTLs were clustered in five QTL-rich regions on four different chromosomes viz., Chr3, Chr5, Chr17 &Chr18, among them the highest concentration of seven and six QTLs were found in "QTL hotspot A" (Chr17) and "QTL hotspot B" (Chr5), respectively. Furthermore, QTLs within all the five QTL clusters are linked to at least two studied traits, which is also supported by highly significant correlation between the three germination-related traits. QTLs for seed-germination related traits in "QTL hotspot B" were found in both RIL populations and aging conditions, and also QTLs underlying "QTL hotspot A" are identified in both RIL populations under artificial aging condition. These are the stable genomic regions governing the inheritance of seed storability in soybean, and will be the main focus for soybean breeders.ConclusionThis study uncovers the genetic basis of seed storability in soybean. The newly identified QTLs provides valuable information, and will be main targets for fine mapping, candidate gene identification and marker-assisted breeding. Hence, the present study is the first report for the comprehensive and detailed investigation of genetic architecture of seed storability in soybean.

Project description:BackgroundSeed flooding stress is one of the threatening environmental stressors that adversely limits soybean at the germination stage across the globe. The knowledge on the genetic basis underlying seed-flooding tolerance is limited. Therefore, we performed a genome-wide association study (GWAS) using 34,718 single nucleotide polymorphism (SNPs) in a panel of 243 worldwide soybean collections to identify genetic loci linked to soybean seed flooding tolerance at the germination stage.ResultsIn the present study, GWAS was performed with two contrasting models, Mixed Linear Model (MLM) and Multi-Locus Random-SNP-Effect Mixed Linear Model (mrMLM) to identify significant SNPs associated with electrical conductivity (EC), germination rate (GR), shoot length (ShL), and root length (RL) traits at germination stage in soybean. With MLM, a total of 20, 40, 4, and 9 SNPs associated with EC, GR, ShL and RL, respectively, whereas in the same order mrMLM detected 27, 17, 13, and 18 SNPs. Among these SNPs, two major SNPs, Gm_08_11971416, and Gm_08_46239716 were found to be consistently connected with seed-flooding tolerance related traits, namely EC and GR across two environments. We also detected two SNPs, Gm_05_1000479 and Gm_01_53535790 linked to ShL and RL, respectively. Based on Gene Ontology enrichment analysis, gene functional annotations, and protein-protein interaction network analysis, we predicted eight candidate genes and three hub genes within the regions of the four SNPs with Cis-elements in promoter regions which may be involved in seed-flooding tolerance in soybeans and these warrant further screening and functional validation.ConclusionsOur findings demonstrate that GWAS based on high-density SNP markers is an efficient approach to dissect the genetic basis of complex traits and identify candidate genes in soybean. The trait associated SNPs could be used for genetic improvement in soybean breeding programs. The candidate genes could help researchers better understand the molecular mechanisms underlying seed-flooding stress tolerance in soybean.

Dataset Information

A novel QTL associated with tolerance to cold-induced seed cracking in the soybean cultivar Toyomizuki.

Publications

A novel QTL associated with tolerance to cold-induced seed cracking in the soybean cultivar Toyomizuki.

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