英文摘要模板

Metabolome-based genome-wide association study of maize kernel

leads to novel biochemical insights

（题目：Times New Roman, 14号，居中加粗，行距固定值：20磅）

Full Author List: Weiwei Wen1, Dong Li1, Xiang Li1, Yanqiang Gao1, Wenqiang Li1,

Huihui Li2, Jie Liu1, Haijun Liu1, Wei Chen1, Jie Luo1, Jianbing Yan1*

（作者：Times New Roman, 12号，单倍行距，左对齐；姓名用全拼，通讯作者*标注）

1National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan

430070, China

2Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China

*Corresponding author: yjianbing@gmail.com

(submitted by 严建兵<yjianbing@gmail.com>) (摘要提交人)

（单位及通讯作者：Times New Roman, 10号, 单倍行距, 左对齐; 通讯作者标注邮件地址）

We present a comprehensive study of maize metabolism, combining genetic, metabolite

and expression profiling methodologies to dissect the genetic basis of metabolic

diversity in maize kernels. A total of 983 metabolites were quantified in 702 maize

genotypes planted at multiple locations. Metabolite-based genome-wide association

mapping (GWAS) identified a total of 1,459 significant locus-trait associations (p≤1.8

×10-6) across three environments. Most (58.5%) of the identified loci were supported

by expression QTL, and some (14.7%) were validated by linkage mapping. Potential

causal variants of five candidate genes were identified by re-sequencing and candidate

gene association analysis. Function of two of the five genes was validated by mutant

and transgenic analysis, respectively. All data are available as a public resource to aid

functional studies and interpretation of GWAS findings. A number of the found

metabolites associated with kernel weight can be used as biomarkers to facilitate genetic

improvement of maize.

（摘要正文：Times New Roman, 12号，两端对齐，多倍行距：1.2）

Funding acknowledgement: National High Technology Research and Development

Program of China (863).

（致谢基金，Times New Roman, 12号，两端对齐，多倍行距：1.2）

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