Development of genome-wide SNP assays for rice

被引:133
|
作者
McCouch, Susan R. [1 ]
Zhao, Keyan [2 ,3 ]
Wright, Mark [1 ,2 ]
Tung, Chih-Wei [1 ]
Ebana, Kaworu [4 ]
Thomson, Michael [5 ]
Reynolds, Andy [2 ]
Wang, Diane [1 ]
DeClerck, Genevieve [1 ]
Ali, Md Liakat [6 ]
McClung, Anna [7 ]
Eizenga, Georgia [7 ]
Bustamante, Carlos [2 ,3 ]
机构
[1] Cornell Univ, Dept Plant Breeding & Genet, Ithaca, NY 14853 USA
[2] Cornell Univ, Dept Biol Stat & Computat Biol, Ithaca, NY USA
[3] Stanford Univ, Dept Genet, Stanford, CA 94305 USA
[4] Natl Inst Agrobiol Sci, Tsukuba, Ibaraki 3058602, Japan
[5] Int Rice Res Inst, Los Banos, Laguna, Philippines
[6] Univ Arkansas, Rice Res & Extens Ctr, Stuttgart, AR USA
[7] USDA ARS, Dale Bumpers Natl Rice Res Ctr, Stuttgart, AR USA
关键词
single nucleotide polymorphism (SNP); rice (Oryza sativa L.); genotyping assay; next-generation sequencing; genetic variation; germplasm diversity; plant improvement; SINGLE-NUCLEOTIDE POLYMORPHISMS; CONFERS SUBMERGENCE TOLERANCE; MARKER-ASSISTED SELECTION; QUANTITATIVE TRAIT LOCUS; LINKAGE DISEQUILIBRIUM; MOLECULAR MARKERS; GENETIC-STRUCTURE; DRAFT SEQUENCE; ORYZA; DNA;
D O I
10.1270/jsbbs.60.524
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Single nucleotide polymorphisms (SNPs) are the most abundant form of genetic variation in eukaryotic genomes. SNPs may be functionally responsible for specific traits or phenotypes, or they may be informative for tracing the evolutionary history of a species or the pedigree of a variety. As genetic markers, SNPs are rapidly replacing simple sequence repeats (SSRs) because they are more abundant, stable, amenable to automation, efficient, and increasingly cost-effective. The integration of high throughput SNP genotyping capability promises to accelerate genetic gain in a breeding program, but also imposes a series of economic, organizational and technical hurdles. To begin to address these challenges, SNP-based resources are being developed and made publicly available for broad application in rice research. These resources include large SNP datasets, tools for identifying informative SNPs for targeted applications, and a suite of custom-designed SNP assays for use in marker-assisted and genomic selection, association and QTL mapping, positional cloning, pedigree analysis, variety identification and seed purity testing. SNP resources also make it possible for breeders to more efficiently evaluate and utilize the wealth of natural variation that exists in both wild and cultivated germplasm with the aim of improving the productivity and sustainability of agriculture.
引用
收藏
页码:524 / 535
页数:12
相关论文
共 50 条
  • [31] Genome-wide dynamics of alternative polyadenylation in rice
    Fu, Haihui
    Yang, Dewei
    Su, Wenyue
    Ma, Liuyin
    Shen, Yingjia
    Ji, Guoli
    Ye, Xinfu
    Wu, Xiaohui
    Li, Qingshun Q.
    GENOME RESEARCH, 2016, 26 (12) : 1753 - 1760
  • [32] Genome-Wide Association Study of Root System Development at Seedling Stage in Rice
    Zhang, Hongjia
    San, Mar Lar
    Jang, Seong-Gyu
    Lee, Ja-Hong
    Kim, Na-Eun
    Lee, Ah-Rim
    Park, So-Yeon
    Cao, Fang-Yuan
    Chin, Joong-Hyoun
    Kwon, Soon-Wook
    GENES, 2020, 11 (12) : 1 - 18
  • [33] Genome-wide analysis of spatial and temporal gene expression in rice panicle development
    Furutani, I
    Sukegawa, S
    Kyozuka, J
    PLANT JOURNAL, 2006, 46 (03): : 503 - 511
  • [34] Genome-wide SNP association: Identification of susceptibility alleles for osteoarthritis
    Abel, Kenneth
    Reneland, Rikard
    Kammerer, Stefan
    Mah, Steven
    Hoyal, Carolyn
    Cantor, Charles R.
    Nelson, Matthew R.
    Braun, Andreas
    AUTOIMMUNITY REVIEWS, 2006, 5 (04) : 258 - 263
  • [35] Profiles of causative SNP in a genome-wide association study.
    Misztal, I.
    Pocrnic, I.
    Perez-Enciso, M.
    Lourenco, D. A. L.
    JOURNAL OF DAIRY SCIENCE, 2020, 103 : 114 - 115
  • [36] Flax domesticationprocesses as inferred from genome-wide SNP data
    Fu, Yong-Bi
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [37] SNP Set Association Analysis for Genome-Wide Association Studies
    Cai, Min
    Dai, Hui
    Qiu, Yongyong
    Zhao, Yang
    Zhang, Ruyang
    Chu, Minjie
    Dai, Juncheng
    Hu, Zhibin
    Shen, Hongbing
    Chen, Feng
    PLOS ONE, 2013, 8 (05):
  • [38] Shrunken Dissimilarity Measure for Genome-wide SNP Data Classification
    Liao, Haiyong
    Liu, Yang
    Ng, Michael K.
    OPTIMIZATION AND SYSTEMS BIOLOGY, 2009, 11 : 73 - 80
  • [39] SNP microarray analysis for genome-wide detection of crossover regions
    Michael Wirtenberger
    Kari Hemminki
    Bowang Chen
    Barbara Burwinkel
    Human Genetics, 2005, 117 : 389 - 397
  • [40] Clustering by genetic ancestry using genome-wide SNP data
    Solovieff, Nadia
    Hartley, Stephen W.
    Baldwin, Clinton T.
    Perls, Thomas T.
    Steinberg, Martin H.
    Sebastiani, Paola
    BMC GENETICS, 2010, 11