Accession PRJCA000205
Title IGDB soybean resequencing-2
Umbrella project

MMDB: Molecular Module-based Designer Breeding Systems

XDA08020000: Analysis of module systems and their coupling effects

XDA08020200: Design of optimized path for assembly of multi-modules

XDA08020202: Analysis and assembly of molecular module systems for high and stable yield in soybean

Data types Whole genome sequencing
Organisms Glycine max
Description Genome-wide association study (GWAS) is a powerful approach to dissect complex traits by using the natural population at relatively high resolution. The previous study provided valuable resources for future functional analyses and molecular breeding. Nevertheless, it has been known that many complex traits exhibit modularity and tend to be tightly integrated, which lead to their heritable covariation. Therefore, a dissection of one specific trait is not enough, but understanding how traits become associated or correlated is essential in the improvement of complex traits. Here, we performed GWAS for several agronomic traits in soybean and investigated the underlying regulation network.
Sample scope Multiisolate
Release date 2016-05-18
Publication
PubMed ID Article title Journal name DOI Year
28838319 Genome-wide association studies dissect the genetic networks underlying agronomical traits in soybean. Genome Biology 10.1186/s13059-017-1289-9 2017
32231277 Stepwise selection on homeologous PRR genes controlling flowering and maturity during soybean domestication Nature Genetics 10.1038/s41588-020-0604-7 2020
36458856 Global dissection of the recombination landscape in soybean using a high-density 600K SoySNP array Plant Biotechnology Journal 10.1111/pbi.13975 2022
37805547 UV-B irradiation-activated E3 ligase GmILPA1 modulates gibberellin catabolism to increase plant height in soybean Nature Communications 10.1038/s41467-023-41824-3 2023
Submitter Zhixi    Tian  (zxtian@genetics.ac.cn)
Organization Institute of Genetics and Developmental Biology, Chinese Academy of Sciences
Submission date 2016-03-14

Project Data

Resource name (Count) File Size (MB)
BioSample (809) -
GSA (1) -
CRA000083 6,222,348.59