Graph pangenome captures missing heritability and empowers tomato breeding
Agricultural Genomics Institute at Shenzhen · Chinese Academy of Agricultural Sciences · +11 more institutions
Abstract
Abstract Missing heritability in genome-wide association studies defines a major problem in genetic analyses of complex biological traits 1,2 . The solution to this problem is to identify all causal genetic variants and to measure their individual contributions 3,4 . Here we report a graph pangenome of tomato constructed by precisely cataloguing more than 19 million variants from 838 genomes, including 32 new reference-level genome assemblies. This graph pangenome was used for genome-wide association study analyses and heritability estimation of 20,323 gene-expression and metabolite traits. The average estimated trait heritability is 0.41 compared with 0.33 when using the single linear reference genome. This…
Citation impact
- FWCI
- 40.54
- Percentile
- 100%
- References
- 91
Authors
22- YZYao ZhouCorresponding
Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs
- ZZZhiyang Zhang
Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Washington State University
- ZBZhigui Bao
Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs
- HLHongbo Li
Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs
- YLYaqing Lyu
Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs
Topics & keywords
- Heritability
- Biology
- Genetics
- Evolutionary biology
- Zero hunger
Funding
- NSNational Science FoundationAwards: IOS-1855585, 1855585
- NNNational Natural Science Foundation of ChinaAward: 31991180
- CAChinese Academy of Agricultural Sciences
- NKNational Key Research and Development Program of ChinaAward: 2019YFA0906200
- ASAgricultural Science and Technology Innovation ProgramAward: CAAS-ZDRW202103
- SPSpecial Project for Research and Development in Key areas of Guangdong ProvinceAward: 2021B0707010005