Author:
Yang Guang,Li Wei,Fan Chao,Liu Miao,Liu Jianxin,Liang Wenwei,Wang Ling,Di Shufeng,Fang Chao,Li Haiyang,Ding Guohua,Bi Yingdong,Lai Yongcai
Abstract
AbstractFlowering time and active accumulated temperature (AAT) are two key factors that limit the expanded production especially for soybean across different regions. Wild soybean provides an important germplasm for functional genomics study in cultivar soybean. However, the studies on genetic basis underlying flowering time in response to AAT especially in wild soybean were rarely reported. In this study, we used 294 wild soybean accessions derived from major soybean production region characterized by different AAT in Northeast of China. Based on genome-wide association study (GWAS), we identified 96 SNPs corresponded to 342 candidate genes that significantly associated with flowering time recorded in two-year experiments. Gene Ontology enrichment analysis suggests that the pathways of photosynthesis light reaction and actin filament binding were significantly enriched. We found three lead SNPs with -log10(p-value) > 32 across the two-year experiments, i.e., Chr02:9490318, Chr04:8545910 and Chr09:49553555. Linkage disequilibrium block analysis shows 28 candidate genes within the genomic region centered on the lead SNPs. Among them, expression levels of three genes (aspartic peptidase 1, serine/threonine-protein kinase and protein SCAR2-like) were significantly differed between two subgroups possessing contrasting flowering time distributed at chromosome 2, 4 and 9, respectively. There are 6, 7 and 3 haplotypes classified on the coding regions of the three genes, respectively. Collectively, accessions with late flowering time phenotype are typically derived from AAT zone 1, which is associated with the haplotypic distribution and expression levels of the three genes. This study provides an insight into a potential mechanism responsible for flowering time in response to AAT in wild soybean, which could promote the understanding of genetic basis for other major crops.
Publisher
Springer Science and Business Media LLC
Reference48 articles.
1. Barrett JC, Fry B, Maller J, Daly MJ. Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 2005;21:263–5.
2. Boss PK. Multiple pathways in the decision to flower: enabling, promoting, and resetting. Plant Cell. 2004;16:S18.
3. Carter TE, Nelson RL, Sneller CH, Cui Z. In: Boerma HR, Specht JE, editors. In soybeans: improvement, production and uses, third: American Society of Agronomy-Crop Science Society of America-Soil Science Society of America; 2004. p. 303–416.
4. Chang FG, Guo C, Zhang J, et al. Genome-wide association studies for dynamic plant height and number of nodes on the main stem in summer sowing soybeans. Front Plant Sci. 2018;9:1184.
5. Cingolani P, Platts A, Wang LL, Coon M, Nguyen T, Wang L, et al. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly. 2012;6:80–92.
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献