Unknown

Dataset Information

0

Comparative and parallel genome-wide association studies for metabolic and agronomic traits in cereals.


ABSTRACT: The plant metabolome is characterized by extensive diversity and is often regarded as a bridge between genome and phenome. Here we report metabolic and phenotypic genome-wide studies (mGWAS and pGWAS) in rice grain that, in addition to previous metabolic GWAS in rice leaf and maize kernel, show both distinct and overlapping aspects of genetic control of metabolism within and between species. We identify new candidate genes potentially influencing important metabolic and/or morphological traits. We show that the differential genetic architecture of rice metabolism between different tissues is in part determined by tissue specific expression. Using parallel mGWAS and pGWAS we identify new candidate genes potentially responsible for variation in traits such as grain colour and size, and provide evidence of metabotype-phenotype linkage. Our study demonstrates a powerful strategy for interactive functional genomics and metabolomics in plants, especially the cloning of minor QTLs for complex phenotypic traits.

SUBMITTER: Chen W 

PROVIDER: S-EPMC5059443 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

Comparative and parallel genome-wide association studies for metabolic and agronomic traits in cereals.

Chen Wei W   Wang Wensheng W   Peng Meng M   Gong Liang L   Gao Yanqiang Y   Wan Jian J   Wang Shouchuang S   Shi Lei L   Zhou Bin B   Li Zongmei Z   Peng Xiaoxi X   Yang Chenkun C   Qu Lianghuan L   Liu Xianqing X   Luo Jie J  

Nature communications 20161004


The plant metabolome is characterized by extensive diversity and is often regarded as a bridge between genome and phenome. Here we report metabolic and phenotypic genome-wide studies (mGWAS and pGWAS) in rice grain that, in addition to previous metabolic GWAS in rice leaf and maize kernel, show both distinct and overlapping aspects of genetic control of metabolism within and between species. We identify new candidate genes potentially influencing important metabolic and/or morphological traits.  ...[more]

Similar Datasets

| S-EPMC5917017 | biostudies-literature
| S-EPMC6257129 | biostudies-literature
| S-EPMC5842221 | biostudies-literature
| S-EPMC6156875 | biostudies-other
| S-EPMC6475106 | biostudies-literature
| S-EPMC5105138 | biostudies-literature
| S-EPMC7513512 | biostudies-literature
| S-EPMC10558178 | biostudies-literature
| S-EPMC8484544 | biostudies-literature
| S-EPMC2920891 | biostudies-literature