Efficiency of selective genotyping for genetic analysis of complex traits and potential applications in crop improvement
文献类型: 外文期刊
第一作者: Crouch, Jonathan H.
作者: Crouch, Jonathan H.;Xu, Yunbi;Sun, Yanping;Wang, Jiankang;Sun, Yanping;Wang, Jiankang
作者机构:
关键词: chromosome mapping.;Selective genotyping;Pooled DNA analysis;Inclusive composite interval mapping;Internet resource.
期刊名称:MOLECULAR BREEDING ( 影响因子:2.589; 五年影响因子:2.75 )
ISSN:
年卷期:
页码:
收录情况: SCI
摘要: Selective genotyping of individuals from the two tails of the phenotypic distribution of a population provides a cost efficient alternative to analysis of the entire population for genetic mapping. Past applications of this approach have been confounded by the small size of entire and tail populations, and insufficient marker density, which result in a high probability of false positives in the detection of quantitative trait loci (QTL). We studied the effect of these factors on the power of QTL detection by simulation of mapping experiments using population sizes of up to 3,000 individuals and tail population sizes of various proportions, and marker densities up to one marker per centiMorgan using complex genetic models including QTL linkage and epistasis. The results indicate that QTL mapping based on selective genotyping is more powerful than simple interval mapping but less powerful than inclusive composite interval mapping. Selective genotyping can be used, along with pooled DNA analysis, to replace genotyping the entire population, for mapping QTL with relatively small effects, as well as linked and interacting QTL. Using diverse germplasm including all available genetics and breeding materials, it is theoretically possible to develop an all-in-one plate approach where one 384-well plate could be designed to map almost all agronomic traits of importance in a crop species. Selective genotyping can also be used for genomewide association mapping where it can be integrated with selective phenotyping approaches. We also propose a breeding-to-genetics approach, which starts with identification of extreme phenotypes from segregating populations generated from multiple parental lines and is followed by rapid discovery of individual genes and combinations of gene effects together with simultaneous manipulation in breeding programs.
分类号: Q94
- 相关文献
作者其他论文 更多>>
-
Genetic diversity and population structure of sweet corn in China as revealed by mSNP
作者:Yang, Quannv;Wang, Yunbo;Guo, Zifeng;Xu, Yunbi;Xu, Yunbi;Xu, Yunbi
关键词:Sweet corn; Genetic diversity; Population structure; Genotyping by target sequencing
-
Mapping and Validation of Quantitative Trait Loci on Yield-Related Traits Using Bi-Parental Recombinant Inbred Lines and Reciprocal Single-Segment Substitution Lines in Rice (Oryza sativa L.)
作者:Manzoor, Ghulam Ali;Zhang, Luyan;Wang, Jiankang;Yin, Changbin
关键词:yield-related traits; QTL mapping; QTL validation; recombinant inbred lines (RILs); single-segment substitution lines (SSSLs); rice (
Oryza sativa L.) -
Prediction by simulation in plant breeding
作者:Li, Huihui;Zhang, Luyan;Gao, Shang;Wang, Jiankang;Li, Huihui;Zhang, Luyan;Gao, Shang;Wang, Jiankang;Li, Huihui;Gao, Shang;Wang, Jiankang
关键词:Prediction by simulation; Plant breeding; Modeling; Genetic model; Breeding method
-
Fast-forwarding plant breeding with deep learning-based genomic prediction
作者:Gao, Shang;Yu, Tingxi;Wang, Jiankang;Li, Huihui;Gao, Shang;Yu, Tingxi;Wang, Jiankang;Li, Huihui;Rasheed, Awais;Crossa, Jose;Hearne, Sarah
关键词:artificial intelligence; deep learning; genomic prediction; plant breeding
-
Leveraging Automated Machine Learning for Environmental Data-Driven Genetic Analysis and Genomic Prediction in Maize Hybrids
作者:He, Kunhui;Yu, Tingxi;Gao, Shang;Chen, Shoukun;Li, Liang;Zhang, Xuecai;Huang, Changling;Xu, Yunbi;Wang, Jiankang;Li, Xinhai;Li, Huihui;He, Kunhui;Yu, Tingxi;Gao, Shang;Chen, Shoukun;Zhang, Xuecai;Huang, Changling;Wang, Jiankang;Li, Huihui;Zhang, Xuecai;Hearne, Sarah;Prasanna, Boddupalli M.
关键词:environmental data; genetic analysis; genomic selection; genotype-by-environment interactions; machine learning
-
EXGEP: a framework for predicting genotype-by-environment interactions using ensembles of explainable machine-learning models
作者:Yu, Tingxi;Zhang, Hao;Chen, Shoukun;Gao, Shang;Liu, Ze;Wang, Jiankang;Li, Huihui;Yu, Tingxi;Zhang, Hao;Chen, Shoukun;Gao, Shang;Liu, Ze;Wang, Jiankang;Li, Huihui;Crossa, Jose;Hearne, Sarah;Montesinos-Lopez, Osval A.
关键词:maize; machine learning; phenotypic prediction; genotype-by-environment interactions; explainable artificial intelligence
-
Understanding wave effects on the hydrodynamic characteristics of knotless nylon netting and flow field analysis around netting
作者:Guo, Shaojian;Zhou, Cheng;Liu, Zhiqiang;Wan, Rong;Wang, Yucheng;Zhou, Cheng;Wan, Rong;Zhou, Cheng;Wan, Rong;Zhou, Cheng;Wan, Rong;Wang, Jiankang;Zhang, Xi;Xu, Zimu
关键词:Knotless nylon nettings; Wave; Hydrodynamic characteristic; PIV; Flume experiments