Journal article
Genomic structural equation modelling provides a whole-system approach for the future crop breeding
Theoretical and Applied Genetics, Vol.134, pp.2875-2889
2021
Abstract
Breeding crop cultivars with optimal value across multiple traits has been a challenge, as traits may negatively correlate due to pleiotropy or genetic linkage. For example, grain yield and grain protein content correlate negatively with each other in cereal crops. Future crop breeding needs to be based on practical yet accurate evaluation and effective selection of beneficial trait to retain genes with the best agronomic score for multiple traits. Here, we test the framework of whole-system-based approach using structural equation modelling (SEM) to investigate how one trait affects others to guide the optimal selection of a combination of agronomically important traits. Using ten traits and genome-wide SNP profiles from a worldwide barley panel and SEM analysis, we revealed a network of interacting traits, in which tiller number contributes positively to both grain yield and protein content; we further identified common genetic factors affecting multiple traits in the network of interaction. Our method demonstrates an efficient way to identify genetically correlating traits and underlying pleiotropic genetic factors and provides an effective proxy for multi-trait selection within a whole-system framework that considers the joint genetic architecture of multiple interacting traits in crop breeding. Our findings suggest the promise of a whole-system approach to overcome challenges such as the negative correlation of grain yield and protein content to facilitating quantitative and objective breeding decisions in future crop breeding.
Details
- Title
- Genomic structural equation modelling provides a whole-system approach for the future crop breeding
- Authors/Creators
- T. He (Author/Creator) - Murdoch UniversityT.T. Angessa (Author/Creator) - Murdoch UniversityC.B. Hill (Author/Creator) - Murdoch UniversityX-Q Zhang (Author/Creator) - Murdoch UniversityK. Chen (Author/Creator) - Department of Primary Industries and Regional DevelopmentH. Luo (Author/Creator) - Murdoch UniversityY. Wang (Author/Creator) - China Jiliang UniversityS.D. Karunarathne (Author/Creator) - Murdoch UniversityG. Zhou (Author/Creator) - Department of Primary Industries and Regional DevelopmentC. Tan (Author/Creator) - Murdoch UniversityP. Wang (Author/Creator) - Murdoch UniversityS. Westcott (Author/Creator) - Department of Primary Industries and Regional DevelopmentC. Li (Author/Creator) - Department of Primary Industries and Regional Development
- Publication Details
- Theoretical and Applied Genetics, Vol.134, pp.2875-2889
- Publisher
- Springer Verlag
- Identifiers
- 991005542321007891
- Copyright
- © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021
- Murdoch Affiliation
- School of Agricultural Sciences; Western Crop Genetics Alliance
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
68 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.189 Genome Studies
- 1.189.455 Genome-Wide Association Studies
- Web Of Science research areas
- Agronomy
- Genetics & Heredity
- Horticulture
- Plant Sciences
- ESI research areas
- Agricultural Sciences