4.7 Article

Resequencing 250 Soybean Accessions: New Insights into Genes Associated with Agronomic Traits and Genetic Networks

Journal

GENOMICS PROTEOMICS & BIOINFORMATICS
Volume 20, Issue 1, Pages 29-41

Publisher

ELSEVIER
DOI: 10.1016/j.gpb.2021.02.009

Keywords

Agronomic trait; GWAS; Network; Resequence; Soybean

Funding

  1. Agricultural Science and Technology Innovation Project, Jilin Province, China [CXGC2017ZY027]
  2. Chinese Universities Scientific Fund
  3. Program of Accurate Identification and Display of Soybean Germplasm, China [NB08-2130315-(25-31)-06, NB07-2130315-(25-30)-06, NB06-070401-(22-27)-05, NB2010-2130315-25-05]

Ask authors/readers for more resources

In this study, the genomes of 250 soybean landraces and cultivars were sequenced to investigate their population structure, genetic diversity and architecture, and selective sweep regions. Five novel agronomically important genes were identified, and the effects of functional mutations were examined. Phenotype-gene network analysis revealed the crucial role of hub nodes in complex phenotypic associations.
The limited knowledge of genomic diversity and functional genes associated with the traits of soybean varieties has resulted in slow progress in breeding. In this study, we sequenced the genomes of 250 soybean landraces and cultivars from China, America, and Europe, and investigated their population structure, genetic diversity and architecture, and the selective sweep regions of these accessions. Five novel agronomically important genes were identified, and the effects of functional mutations in respective genes were examined. The candidate genes GSTT1, GL3, and GSTL3 associated with the isoflavone content, CKX3 associated with yield traits, and CYP85A2 associated with both architecture and yield traits were found. The phenotype-gene network analysis revealed that hub nodes play a crucial role in complex phenotypic associations. This study describes novel agronomic trait-associated genes and a complex genetic network, providing a valuable resource for future soybean molecular breeding.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available