globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0104871
论文题名:
A High-Density Genetic Map for Soybean Based on Specific Length Amplified Fragment Sequencing
作者: Zhaoming Qi; Long Huang; Rongsheng Zhu; Dawei Xin; Chunyan Liu; Xue Han; Hongwei Jiang; Weiguo Hong; Guohua Hu; Hongkun Zheng; Qingshan Chen
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2014
发表日期: 2014-8-12
卷: 9, 期:8
语种: 英语
英文关键词: Gene mapping ; Soybean ; Paleogenetics ; Linkage mapping ; Genetic linkage ; Genotyping ; DNA recombination ; Population genetics
英文摘要: Soybean is an important oil seed crop, but very few high-density genetic maps have been published for this species. Specific length amplified fragment sequencing (SLAF-seq) is a recently developed high-resolution strategy for large scale de novo discovery and genotyping of single nucleotide polymorphisms. SLAF-seq was employed in this study to obtain sufficient markers to construct a high-density genetic map for soybean. In total, 33.10 Gb of data containing 171,001,333 paired-end reads were obtained after preprocessing. The average sequencing depth was 42.29 in the Dongnong594, 56.63 in the Charleston, and 3.92 in each progeny. In total, 164,197 high-quality SLAFs were detected, of which 12,577 SLAFs were polymorphic, and 5,308 of the polymorphic markers met the requirements for use in constructing a genetic map. The final map included 5,308 markers on 20 linkage groups and was 2,655.68 cM in length, with an average distance of 0.5 cM between adjacent markers. To our knowledge, this map has the shortest average distance of adjacent markers for soybean. We report here a high-density genetic map for soybean. The map was constructed using a recombinant inbred line population and the SLAF-seq approach, which allowed the efficient development of a large number of polymorphic markers in a short time. Results of this study will not only provide a platform for gene/quantitative trait loci fine mapping, but will also serve as a reference for molecular breeding of soybean.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0104871&type=printable
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/18617
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
journal.pone.0104871.PDF(451KB)期刊论文作者接受稿开放获取View Download

作者单位: College of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, People's Republic of China;Biomarker Technologies Corporation, Beijing, China;College of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, People's Republic of China;College of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, People's Republic of China;The Crop Research and Breeding Center of Land-Reclamation of Heilongjiang Province, Harbin, Heilongjiang, People's Republic of China;The Crop Research and Breeding Center of Land-Reclamation of Heilongjiang Province, Harbin, Heilongjiang, People's Republic of China;The Crop Research and Breeding Center of Land-Reclamation of Heilongjiang Province, Harbin, Heilongjiang, People's Republic of China;Biomarker Technologies Corporation, Beijing, China;The Crop Research and Breeding Center of Land-Reclamation of Heilongjiang Province, Harbin, Heilongjiang, People's Republic of China;Biomarker Technologies Corporation, Beijing, China;College of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang, People's Republic of China

Recommended Citation:
Zhaoming Qi,Long Huang,Rongsheng Zhu,et al. A High-Density Genetic Map for Soybean Based on Specific Length Amplified Fragment Sequencing[J]. PLOS ONE,2014-01-01,9(8)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Zhaoming Qi]'s Articles
[Long Huang]'s Articles
[Rongsheng Zhu]'s Articles
百度学术
Similar articles in Baidu Scholar
[Zhaoming Qi]'s Articles
[Long Huang]'s Articles
[Rongsheng Zhu]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Zhaoming Qi]‘s Articles
[Long Huang]‘s Articles
[Rongsheng Zhu]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: journal.pone.0104871.PDF
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.