Identification of Genes with Soybean Resistance to Common Cutworm by Association Analysis

Yu, Hong‐Ren; Gao, Zhongjie; Zhang, Dan; Gao, Cheng; De-Ti, YU

doi:10.3724/sp.j.1259.2011.00514

Cited by 4 publications

(1 citation statement)

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“…In this study, 192 soybean accessions were used for association mapping, which originated from 26 different provinces and six ecological regions of soybean cultivation in the People's Republic of China (latitude 53°N to 24°N and longitude 134°E to 97°E) (Wang and Gai 2002). The collection was initially examined by Wang et al (2011) and also used to identify QTLs associated with other traits, such as yield (Hao et al 2012), seed shape (Hu et al 2013), phosphorus efficiency (Zhang et al 2014b), and protein content (Zhang et al 2014a). The above studies show that this collection is representative of the diverse genetic variation, so this association panel was selected for use in this study.…”

Section: Plant Materialsmentioning

confidence: 99%

Genome-wide association study of dynamic developmental plant height in soybean

Lü¹,

Li²,

Fan³

et al. 2016

Can. J. Plant Sci.

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Plant height (PH) is an important agronomic trait affecting crop yield and quality. In this study, a soybean collection of 192 natural accessions and 1536 single nucleotide polymorphism (SNP) makers were used to identify genomic regions associated with PH. There is a large genetic variation in PH with a diverse panel. Three phenotypic indexes (PH measured at six stages, the conditional PH, and the relative growth rates of PH) were used to identify developmental behavior for PH in soybean. Six methods were used to minimize false-positive associations in association mapping, and finally the generalized linear model for principal component analysis had been used in this study. Three SNPs, BARC-040651-07807, BARC-030433-06867, and BARC-042475-08274, were highly significantly associated with PH in the final growing period, and two SNPs, BARC-038795-07333 and BARC-013749-01246, were connected with PH in the early growing period.

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Section: Plant Materialsmentioning

confidence: 99%

Genome-wide association study of dynamic developmental plant height in soybean

Lü¹,

Li²,

Fan³

et al. 2016

Can. J. Plant Sci.

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Use of single nucleotide polymorphisms and haplotypes to identify genomic regions associated with protein content and water-soluble protein content in soybean

Zhang

Kan

et al. 2014

Theor Appl Genet

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Four major SPC-specific loci were identified, and these accounted for 8.5-15.1 % of the phenotypic variation, thus explaining why certain soybean varieties have a high PC but a low SPC. Water-soluble protein content (SPC) is a critical factor in both food quality and the production of isolated soybean proteins. However, few data are available regarding the genetic control and the mechanisms contributing to elevated SPC. In this study, a soybean collection of 192 accessions from a wide geographic range was used to identify genomic regions associated with soybean protein content (PC) and SPC using an association mapping approach employing 1,536 SNP makers and 232 haplotypes. The diverse panel revealed a large genetic variation in PC and SPC. Association mapping was performed using three methods to minimize false-positive associations. This resulted in 4/8 SNPs and 3/6 haplotypes that were significantly associated with soybean PC/SPC in two or more environments based on the mixed model. An SNP that was highly significantly associated with PC, BARC-021267-04016, was localized 0.28 cM away from a published glycinin gene, G7, and was detected across all four environments. Four major SPC-specific loci, BARC-029149-06088, BARC-018023-02499, BARC-041663-08059 and haplotype 15 (hp15), were stably identified on chromosomes five and eight and explained 8.5-15.1 % of the phenotypic variation. Moreover, a glutelin type-B 2-like gene was identified on chromosome eight and may be related to soybean protein solubility. These markers, which are located in previously reported QTL, reconfirmed previous findings and may be important targets for the identification of protein-related genes. These novel SNPs and haplotypes are important for further understanding the genetic basis of PC and SPC. In addition, by comparing the correlation and genetic loci between PC and SPC, we provide new insights into why certain soybean varieties have a high protein content but a low SPC.

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