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Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice.

Abstract：

:Even as the study of plant genomics rapidly develops through the use of high-throughput sequencing techniques, traditional plant phenotyping lags far behind. Here we develop a high-throughput rice phenotyping facility (HRPF) to monitor 13 traditional agronomic traits and 2 newly defined traits during the rice growth period. Using genome-wide association studies (GWAS) of the 15 traits, we identify 141 associated loci, 25 of which contain known genes such as the Green Revolution semi-dwarf gene, SD1. Based on a performance evaluation of the HRPF and GWAS results, we demonstrate that high-throughput phenotyping has the potential to replace traditional phenotyping techniques and can provide valuable gene identification information. The combination of the multifunctional phenotyping tools HRPF and GWAS provides deep insights into the genetic architecture of important traits.

journal_name

Nat Commun

journal_title

Nature communications

authors

Yang W,Guo Z,Huang C,Duan L,Chen G,Jiang N,Fang W,Feng H,Xie W,Lian X,Wang G,Luo Q,Zhang Q,Liu Q,Xiong L

doi

10.1038/ncomms6087

subject

Has Abstract

pub_date

2014-10-08 00:00:00

pages

5087

issn

2041-1723

pii

ncomms6087

journal_volume

5

pub_type

杂志文章

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