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| 1 | Genome-wide Dissection of Co-selected UV-B Responsive Pathways in the UV-B Adaptation of Qingke显示文摘Qingke (Tibetan hulless barley) has long been cultivated and exposed to long-term and strong UV-B radiation on the Tibetan Plateau, which renders it an ideal species for elucidating novel UV-B responsive mechanisms in plants. Here we report a comprehensive metabolite profiling and metabolite-based genome-wide association study (mGWAS) using 196 diverse qingke and barley accessions. Our results demonstrated both constitutive and induced accumulation, and common genetic regulation, of metabolites from different branches of the phenylpropanoid pathway that are involved in UV-B protection. A total of 90 significant mGWAS loci for these metabolites were identified in barley-qingke differentiation regions, and a number of high-level metabolite trait alleles were found to be significantly enriched in qingke, suggesting co-selection of various phenylpropanoids. Upon dissecting the entire phenylpropanoid pathway, we identified some key determinants controlling natural variation of phenylpropanoid content, including three novel proteins, a flavone C-pentosyltransferase, a tyramine hydroxycinnamoyl acyltransferase, and a MYB transcription factor. Our study, furthermore, demonstrated co-selection of both constitutive and induced phenylpropanoids for UV-B protection in qingke. | Xingquan Zeng Hongjun Yuan Xuekui Dong Meng Peng Xinyu Jing Qijun Xu Tang Tang Yulin Wang Sang Zha Meng Gao Congzhi Li Chujin Shu Zexiu Wei Wangmu Qimei Yuzhen Basang Jiabu Dunzhu Zeqing Li Lijun Bai Jian Shi Zhigang Zheng Sibin Yu Alisdair R.Fernie Jie Luo Tashi Nyima | 2020 | Molecular Plant2020，13，1： | 9 |
| 2 | Comprehensive profiling and natural variation of flavonoids in rice显示文摘Flavonoids constitute a major group of plant phenolic compounds.While extensively studied in Arabidopsis,profiling and naturally occurring variation of these compounds in rice(Oryza sativa),the monocot model plant,are less reported.Using a collection of rice germplasm,comprehensive profiling and natural variation of flavonoids were presented in this report.Application of a widely targeted metabolomics method facilitated the simultaneous identification and quantification of more than 90 flavonoids using liquid chromatography tandem mass spectrometry(LC-MS/MS).Comparing flavonoid contents in various tissues during different developmental stages revealed tissue-specific accumulation of most flavonoids.Further investigation indicated that flavone mono-C-glycosides,malonylated flavonoid O-hexosides,and some flavonoid O-glycosides accumulated at significantly higher levels in indica than in japonica,while the opposite was observed for aromatic acylated flavone C-hexosyl-O-hexosides.In contrast to the highly differential accumulation between the two subspecies,relatively small variations within subspecies were detected for most flavonoids.Besides,an association analysis between flavonoid accumulation and its biosynthetic gene sequence polymorphisms disclosed that natural variation of flavonoids was probably caused by sequence polymorphisms in the coding region of flavonoid biosynthetic genes.Our work paves the way for future dissection of biosynthesis and regulation of flavonoid pathway in rice. | Xuekui Dong Wei Chen Wensheng Wang Hongyan Zhang Xianqing Liu Jie Luo | 2014 | Journal of Integrative Plant Biology2014，56，9： | 8 |
| 3 | Seed metabolomic study reveals significant metabolite variations and correlations among different soybean cultivars显示文摘Soybean[Glycine max(L.) Merr.]is one of the world's major crops,and soybean seeds are a rich and important resource for proteins and oils.While 'omics' studies,such as genomics,transcriptomics,and proteomics,have been widely applied in soybean molecular research,fewer metabolomic studies have been conducted for largescale detection of low molecular weight metabolites,especially in soybean seeds.In this study,we investigated the seed metabolomes of 29 common soybean cultivars through combined gas chromatography-mass spectrometry and ultra-performance liquid chromatography-tandem mass spectrometry.One hundred sixty-nine named metabolites were identified and subsequently used to construct a metabolic network of mature soybean seed.Among the 169 detected metabolites,104 were found to be significantly variable in their levels across tested cultivars.Metabolite markers that could be used to distinguish genetically related soybean cultivars were also identified,and metabolitemetabolite correlation analysis revealed some significant associations within the same or among different metabolite groups.Findings from this work may potentially provide the basis for further studies on both soybean seed metabolism and metabolic engineering to improve soybean seed quality and yield. | Hong Lin Jun Rao Jianxin Shi Chaoyang Hu Fang Cheng Zoe A.Wilson Dabing Zhang Sheng Quan | 2014 | Journal of Integrative Plant Biology2014，56，9： | 7 |
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