Novel Methods to Optimize Genotypic Imputation for Low-Coverage, Next-Generation Sequence Data in Crop Plants | |
Swarts, Kelly1; Li, Huihui2,3; Navarro, J. Alberto Romero1,4; An, Dong5; Romay, Maria Cinta6; Hearne, Sarah7; Acharya, Charlotte6; Glaubitz, Jeffrey C.6; Mitchell, Sharon6; Elshire, Robert J.8 | |
刊名 | PLANT GENOME
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2014 | |
卷号 | 7期号:3页码:- |
ISSN号 | 1940-3372 |
DOI | 10.3835/plantgenome2014.05.0023 |
通讯作者 | Swarts, Kelly |
英文摘要 | Next-generation sequencing technology such as genotyping-by-sequencing (GBS) made low-cost, but often low-coverage, whole-genome sequencing widely available. Extensive inbreeding in crop plants provides an untapped, high quality source of phased haplotypes for imputing missing genotypes. We introduce Full-Sib Family Haplotype Imputation (FSFHap), optimized for full-sib populations, and a generalized method, Fast Inbred Line Library ImputatioN (FILLIN), to rapidly and accurately impute missing genotypes in GBS-type data with ordered markers. FSFHap and FILLIN impute missing genotypes with high accuracy in GBS-genotyped maize (Zea mays L.) inbred lines and breeding populations, while Beagle v. 4 is still preferable for diverse heterozygous populations. FILLIN and FSFHap are implemented in TASSEL 5.0. |
学科主题 | Plant Sciences ; Genetics & Heredity |
语种 | 英语 |
出版者 | CROP SCIENCE SOC AMER |
WOS记录号 | WOS:000345157300009 |
内容类型 | 期刊论文 |
源URL | [http://111.203.20.206/handle/2HMLN22E/4812] ![]() |
专题 | 作物科学研究所_分子生物学系 |
作者单位 | 1.Cornell Univ, Dept Plant Breeding & Genet, Ithaca, NY 14853 USA 2.Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100081, Peoples R China 3.Chinese Acad Agr Sci, CIMMYT China Off, Beijing 100081, Peoples R China 4.Cornell Univ, CIMMYT, Ithaca, NY 14853 USA 5.China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China 6.Cornell Univ, Inst Genom Divers, Ithaca, NY 14853 USA 7.CIMMYT, Texcoco 56237, Edo De Mexico, Mexico 8.AgResearch Ltd, Grasslands Res Ctr, Palmerston North 4442, New Zealand 9.Cornell Univ, USDA ARS, Inst Genom Divers, Ithaca, NY 14853 USA 10.Cornell Univ, Dept Plant Breeding & Genet, Ithaca, NY 14853 USA |
推荐引用方式 GB/T 7714 | Swarts, Kelly,Li, Huihui,Navarro, J. Alberto Romero,et al. Novel Methods to Optimize Genotypic Imputation for Low-Coverage, Next-Generation Sequence Data in Crop Plants[J]. PLANT GENOME,2014,7(3):-. |
APA | Swarts, Kelly.,Li, Huihui.,Navarro, J. Alberto Romero.,An, Dong.,Romay, Maria Cinta.,...&Bradbury, Peter J..(2014).Novel Methods to Optimize Genotypic Imputation for Low-Coverage, Next-Generation Sequence Data in Crop Plants.PLANT GENOME,7(3),-. |
MLA | Swarts, Kelly,et al."Novel Methods to Optimize Genotypic Imputation for Low-Coverage, Next-Generation Sequence Data in Crop Plants".PLANT GENOME 7.3(2014):-. |
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