Development of genomics-based genotyping platforms and their applications in rice breeding

被引:50
作者
Chen, Haodong [1 ,3 ]
He, Hang [1 ,3 ]
Zhou, Fasong [2 ]
Yu, Huihui [2 ]
Deng, Xing Wang [1 ,3 ,4 ]
机构
[1] Peking Univ, Peking Yale Joint Ctr Plant Mol Genet & Agrobiote, State Key Lab Prot & Plant Gene Res, Coll Life Sci, Beijing 100871, Peoples R China
[2] China Natl Seed Grp Co Ltd, Life Sci & Technol Ctr, Wuhan 430075, Peoples R China
[3] Shenzhen Inst Crop Mol Design, Shenzhen 518107, Peoples R China
[4] Yale Univ, Dept Mol Cellular & Dev Biol, New Haven, CT 06520 USA
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
ORYZA-SATIVA L; SINGLE-NUCLEOTIDE POLYMORPHISMS; WIDE ASSOCIATION; VARIATION REVEALS; DRAFT SEQUENCE; SELECTION; PREDICTION; TRAITS; LINES; LOCI;
D O I
10.1016/j.pbi.2013.04.002
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Breeding by design has been an aspiration of researchers in the plant sciences for a decade. With the rapid development of genomics-based genotyping platforms and available of hundreds of functional genes/alleles in related to important traits, however, it may now be possible to turn this enduring ambition into a practical reality. Rice has a relatively simple genome comparing to other crops, and its genome composition and genetic behavior have been extensively investigated. Recently, rice has been taken as a model crop to perform breeding by design. The essential process of breeding by design is to integrate functional genes/alleles in an ideal genetic background, which requires high throughput genotyping platforms to screen for expected genotypes. With large amount of genome resequencing data and high-throughput genotyping technologies available, quite a number of genomics-based genotyping platforms have been developed. These platforms are widely used in genetic mapping, integration of target traits via marker-assisted backcrossing (MABC), pyramiding, recurrent selection (MARS) or genomic selection (GS). Here, we summarize and discuss recent exciting development of rice genomics-based genotyping platforms and their applications in molecular breeding.
引用
收藏
页码:247 / 254
页数:8
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