期刊
NEW PHYTOLOGIST
卷 220, 期 2, 页码 502-516出版社
WILEY
DOI: 10.1111/nph.15297
关键词
expression quantitative trait loci (eQTLs); genome-wide association studies (GWAS); hydroxycinnamoyl-CoA; metabolome; Populus trichocarpa; shikimate hydroxycinnamoyl transferase (HCT); WRKY
资金
- Plant-Microbe Interfaces (PMI) Scientific Focus Area in the Genomic Science Program
- Office of Biological and Environmental Research in the US Department of Energy (DOE) Office of Science
- Center for Bioenergy Innovation (CBI)
- Office of Biological and Environmental Research in the DOE Office of Science
- US Department of Energy [DE-AC05-00OR22725]
- Office of Science of the US Department of Energy [DE-AC02-05CH11231]
3-O-caffeoylquinic acid, also known as chlorogenic acid (CGA), functions as an intermediate in lignin biosynthesis in the phenylpropanoid pathway. It is widely distributed among numerous plant species and acts as an antioxidant in both plants and animals. Using GC-MS, we discovered consistent and extreme variation in CGA content across a population of 739 4-yr-old Populus trichocarpa accessions. We performed genome-wide association studies (GWAS) from 917 P.trichocarpa accessions and expression-based quantitative trait loci (eQTL) analyses to identify key regulators. The GWAS and eQTL analyses resolved an overlapped interval encompassing a hydroxycinnamoyl-CoA:shikimate hydroxycinnamoyl transferase 2 (PtHCT2) that was significantly associated with CGA and partially characterized metabolite abundances. PtHCT2 leaf expression was significantly correlated with CGA abundance and it was regulated by cis-eQTLs containing W-box for WRKY binding. Among all nine PtHCT homologs, PtHCT2 is the only one that responds to infection by the fungal pathogen Sphaerulina musiva (a Populus pathogen). Validation using protoplast-based transient expression system suggests that PtHCT2 is regulated by the defense-responsive WRKY. These results are consistent with reports of CGA functioning as an antioxidant in response to biotic stress. This study provides insights into data-driven and omics-based inference of gene function in woody species.
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