CropGS-Hub: a comprehensive database of genotype and phenotype resources for genomic prediction in major crops

Author:

Chen Jiaxin1,Tan Cong23ORCID,Zhu Min1ORCID,Zhang Chenyang24,Wang Zhihan1,Ni Xuemei24,Liu Yanlin1,Wei Tong23,Wei XiaoFeng5,Fang Xiaodong26,Xu Yang7,Huang Xuehui1ORCID,Qiu Jie1ORCID,Liu Huan24

Affiliation:

1. Shanghai Key Laboratory of Plant Molecular Sciences, Shanghai Collaborative Innovation Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University , Shanghai , China

2. State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research , Shenzhen  518083 , China

3. BGI Research , Wuhan 430074, China

4. BGI Bioverse , Shenzhen 518083, China

5. China National GeneBank , BGI, Shenzhen 518120, China

6. BGI Research , Sanya 572025, China

7. Agricultural College, Yangzhou University , Yangzhou 225009, China

Abstract

Abstract The explosive amount of multi-omics data has brought a paradigm shift both in academic research and further application in life science. However, managing and reusing the growing resources of genomic and phenotype data points presents considerable challenges for the research community. There is an urgent need for an integrated database that combines genome-wide association studies (GWAS) with genomic selection (GS). Here, we present CropGS-Hub, a comprehensive database comprising genotype, phenotype, and GWAS signals, as well as a one-stop platform with built-in algorithms for genomic prediction and crossing design. This database encompasses a comprehensive collection of over 224 billion genotype data and 434 thousand phenotype data generated from >30 000 individuals in 14 representative populations belonging to 7 major crop species. Moreover, the platform implemented three complete functional genomic selection related modules including phenotype prediction, user model training and crossing design, as well as a fast SNP genotyper plugin-in called SNPGT specifically built for CropGS-Hub, aiming to assist crop scientists and breeders without necessitating coding skills. CropGS-Hub can be accessed at https://iagr.genomics.cn/CropGS/.

Publisher

Oxford University Press (OUP)

Subject

Genetics

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