Comprehensive transcriptomics, proteomics, and metabolomics analyses of the mechanisms regulating tiller production in low-tillering wheat
Comprehensive transcriptomics, proteomics, and metabolomics analyses of the mechanisms regulating tiller production in low-tillering wheat
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低分蘖小麦分蘖调控机制的综合转录组学、蛋白质组学和代谢组学分析
DOI:
10.1007/s00122-019-03345-w
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发表时间:
2019-04
影响因子:
5.4
通讯作者:
Liu Yaxi
中科院分区:
文献类型:
--
作者:
Wang Zhiqiang;Shi Haoran;Yu Shifan;Zhou Wanlin;Li Jing;Liu Shihang;Deng Mei;Ma Jian;Wei Yuming;Zheng Youliang;Liu Yaxi
Key messageTiller development in low-tillering wheat is related to several differentially expressed genes, proteins, and metabolites, as determined by an integrated omics approach combining transcriptome analysis, iTRAQ, andHPLC-MSon multiple NILs.AbstractTillering is an important aspect of plant morphology that affects spike number, thereby contributing to the final crop yield. However, the mechanisms inhibiting tiller production in low-tillering wheat are poorly characterized. To investigate this aspect of wheat biology, two pairs of near-isogenic lines were developed, and an integrated omics approach combining transcriptome analysis, isobaric tags for relative and absolute quantification, and high-performance liquid chromatography-mass spectrometry were used to compare the free-tillering and low-tillering caused by an allele atQltn.sicau-2Din wheat samples. Overall, 474 genes, 166 proteins, and 28 metabolites were identified as tillering-associated differentially expressed genes, proteins, and metabolites (DEGs, DEPs, and DEMs, respectively). Functional analysis indicated that the abundance of DEGs/DEPs/DEMs was related to lignin and cellulose metabolism, cell division, cell cycle processes, and glycerophospholipid metabolism; three transcription factor families,GRAS,GRF, andREV, might be related to the decrease in tillering in low-tillering wheat. These findings contribute to improve our understanding of the mechanisms responsible for the inhibition of tiller development in low-tillering wheat cultivars.
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影响因子:
1.8
作者:
Wang Yingfeng;Man Hongxue;Gao Jian;Liu Xinfeng;Ren Xiaolei;Chen Jianxin;Zhang Jiayu;Gao Kuo;Li Zhongfeng;Zhao Baosheng
通讯作者:
Zhao Baosheng
影响因子:
5.6
作者:
Moeller C;Evers JB;Rebetzke G
通讯作者:
Rebetzke G
DOI:
10.1105/tpc.010146
发表时间:
2001-09
期刊:
The Plant Cell Online
影响因子:
--
作者:
C. Helliwell;A. N. Chin-Atkins;I. Wilson;R. Chapple;E. Dennis;A. Chaudhury
通讯作者:
C. Helliwell;A. N. Chin-Atkins;I. Wilson;R. Chapple;E. Dennis;A. Chaudhury
影响因子:
7.4
作者:
Kuijt, Suzanne J. H.;Greco, Raffaella;Ouwerkerk, Pieter B. F.
通讯作者:
Ouwerkerk, Pieter B. F.
影响因子:
7.4
作者:
Liu, Jie;Cheng, Xiliu;Sun, Jiaqiang
通讯作者:
Sun, Jiaqiang