Identification of genetic variants associated with maize flowering time using an extremely large multi-genetic background population

doi:10.1111/tpj.13174

	Identification of genetic variants associated with maize flowering time using an extremely large multi-genetic background population
	Li, Yong-xiang 1; Li, Chunhui 1; Bradbury, Peter J.2; Liu, Xiaolei 2; Lu, Fei 2; Romay, Cinta M.2; Glaubitz, Jeffrey C.2; Wu, Xun 1; Peng, Bo 1; Shi, Yunsu 1
刊名	PLANT JOURNAL
	2016
卷号	86 期号:5 页码:391-402
关键词	maize (Zea mays L.) flowering time genome-wide association study (GWAS) linkage analysis nested association mapping (NAM)
ISSN号	0960-7412
DOI	10.1111/tpj.13174
通讯作者	Li, Yong-xiang
英文摘要	Flowering time is one of the major adaptive traits in domestication of maize and an important selection criterion in breeding. To detect more maize flowering time variants we evaluated flowering time traits using an extremely large multi-genetic background population that contained more than 8000 lines under multiple Sino-United States environments. The population included two nested association mapping (NAM) panels and a natural association panel. Nearly 1 million single -nucleotide polymorphisms (SNPs) were used in the analyses. Through the parallel linkage analysis of the two NAM panels, both common and unique flowering time regions were detected. Genome wide, a total of 90 flowering time regions were identified. One-third of these regions were connected to traits associated with the environmental sensitivity of maize flowering time. The genome-wide association study of the three panels identified nearly 1000 flowering time -associated SNPs, mainly distributed around 220 candidate genes (within a distance of 1 Mb). Interestingly, two types of regions were significantly enriched for these associated SNPs - one was the candidate gene regions and the other was the approximately 5 kb regions away from the candidate genes. Moreover, the associated SNPs exhibited high accuracy for predicting flowering time.
学科主题	Plant Sciences
语种	英语
出版者	WILEY-BLACKWELL
WOS记录号	WOS:000380167600003
内容类型	期刊论文
源URL	[http://111.203.20.206/handle/2HMLN22E/4513]
专题	作物科学研究所_种质资源保存与研究中心
作者单位	1.Chinese Acad Agr Sci, Inst Crop Sci, Beijing 10008, Peoples R China 2.Cornell Univ, Inst Genom Div, Ithaca, NY 14853 USA 3.USDA ARS, Ithaca, NY 14853 USA 4.Northeast Agr Univ, Dept Anim Sci, Harbin 150030, Heilongjiang, Peoples R China 5.Washington State Univ, Dept Crop & Soil Sci, Pullman, WA 99164 USA
推荐引用方式 GB/T 7714	Li, Yong-xiang,Li, Chunhui,Bradbury, Peter J.,et al. Identification of genetic variants associated with maize flowering time using an extremely large multi-genetic background population[J]. PLANT JOURNAL,2016,86(5):391-402.
APA	Li, Yong-xiang.,Li, Chunhui.,Bradbury, Peter J..,Liu, Xiaolei.,Lu, Fei.,...&Wang, Tianyu.(2016).Identification of genetic variants associated with maize flowering time using an extremely large multi-genetic background population.PLANT JOURNAL,86(5),391-402.
MLA	Li, Yong-xiang,et al."Identification of genetic variants associated with maize flowering time using an extremely large multi-genetic background population".PLANT JOURNAL 86.5(2016):391-402.