- Genome-wide associations and epistatic interactions for internode number, plant height, seed weight and seed yield in soybean. - This study reports the results of a genome-wide association study and evaluation of epistatic interactions for four agronomic and seed-related traits in soybean.. - For SW, candidate genes include an ortholog of the AP2 gene, which in other species is involved in maintaining seed size, embryo size, seed weight and seed yield. - Improvement of seed yield is a major objective in soybean breeding. - including seed weight (SW), internode number (IN) and plant height (PH). - Internode number and plant height affect seed yield via their impact on important traits including lodging and adaptability in soybean [2].. - Many linkage mapping studies in soybean have been curated and compiled at SoyBase (https://www.soybase.. - Plant height and internode number have significant correlations with flowering and maturity traits, which are important agronomic traits associated with adapt- ability and productivity in soybean [8]. - Chang et al. - Similarly, Fang et al. - A linkage mapping study by Sun et al. - Similarly, Chang et al. - [3] reported that several loci of IN and PH were captured at different growth stages in soybean. - Several other studies that associated develop- mental quantitative traits with genetic markers have been reported in soybean . - “genome wide epistatic study” (GWES) approach to comple- ment the more widely-used GWAS analysis and provide a fuller understanding of the genetic architecture of complex traits. - In particular, GWES helps reveal the genetic basis of IN, PH, SW and SYP in soybean.. - Internode number (count Plant height (cm seed weight (gm Seed yield per plant (gm SEM = Standard Error of the Mean. - A candidate gene Glyma.01 g022500 on. - (NAM) protein and is homologous to AT3G49530, which is involved in formation of the SAM [24–26].. - flowering time and development of the inflorescence meristem (Fig. - Genome wide epistatic interaction. - Previous studies have showed the Dt1 gene to regulate many agronomic traits including plant height and flowering in soybean [8, 42–44]. - The presence of the dominant alleles (Dt1/Dt1) sup- presses the transition to a reproductive inflorescence [45].. - Through numerous studies, more than 200 QTLs have been identified for SW in soybean (https://soybase.org. - Glyma.19 g151900 is annotated as a member of the AHP (Arabidopsis histidine phospho- transfer) protein family (Additional file 3). - Simi- larly, the ahp1,2,3,4,5 “penta” histidine phosphotransfer protein mutation in Arabidopsis resulted in larger seeds and embryos [50], suggesting that the homologous AHP Glyma.19 g151900 could also be involved in a cytokinin- mediated seed weight regulating pathway in soybean [6].. - Further studies will be needed to test the functions and effects of these genes in soybean.. - For plant height, Gly- ma.02G245600, encodes a gibberellin-regulated family protein, with homologs known to have key function in plant development, while Glyma.19 g194300 encodes a phosphatidylethanolamine binding protein, and has been shown to play key role in regulating of flowering time in soybean and other plants [4, 8, 44]. - The internode number of the main stem was taken as the average of three such measurements. - The “SoySNP50k” SNP dataset for the panel was de- scribed by Song et al. - The average LD decay graph was plotted using an R script, which was computed according to Remington et al. - Genome-wide association (GWA) and genome wide epistatic (GWE) interaction analysis. - 0.001, determined by 1000 permutations, was used as the significance threshold of SNPs-trait associations as described in Zhang et al. - Frequency distribution of observation of internode number, plant height, seed weight, and seed yield per plant in soybean. - GWA: genome-wide association;. - GWAS: genome-wide association study. - GWE: genome-wide epistatis;. - GWES: genome-wide epistatic study. - SW: seed weight;. - All authors contributed to the preparation and development of the manuscript. - Halseth, et al. - Liu W, Kim MY, Van K, Lee YH, Li H, Liu X, et al. - QTL identification of yield- related traits and their association with flowering and maturity in soybean. - 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