Literature DB >> 33164828

Transcriptomic analysis of tea plant (Camellia sinensis) revealed the co-expression network of 4111 paralogous genes and biosynthesis of quality-related key metabolites under multiple stresses.

Zixiao Liu1, Yanting Han2, Yongjie Zhou1, Tianwen Wang2, Shuaibin Lian3, Hongyu Yuan4.   

Abstract

The tea plant is an essential economic plant in many countries. However, its growing season renders them vulnerable to stresses. To understand the transcriptomic influences of these stresses on tea plants, we sequenced and analyzed the transcriptomes under drought, high-temperature, and pest. Paralogs were identified by comparing 14 evolutionarily close genomes. The differentially expressed paralog (DEPs) genes were analyzed regarding single or multiple stresses, and 1075 of the 4111 DEPs were commonly found in all the stresses. The co-expression network of the DEPs and TFs indicated that genes of catechin biosynthesis were associated with most transcription factors specific to each stress. The genes playing a significant role in the late response to drought and pest stress mainly functioned in the early response to high-temperature. This study revealed the relationship between stress and regulation of QRM synthesis and the role of QRMs in response to these (a)biotic stresses.
Copyright © 2020 Elsevier Inc. All rights reserved.

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Keywords:  Co-expression networks; Differential expression patterns; Paralogs; Stress; Transcription factor

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Year:  2020        PMID: 33164828     DOI: 10.1016/j.ygeno.2020.10.023

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  1 in total

1.  Feedback Inhibition Might Dominate the Accumulation Pattern of BR in the New Shoots of Tea Plants (Camellia sinensis).

Authors:  Hanghang Zhang; Dong Yang; Peiqiang Wang; Xinfu Zhang; Zhaotang Ding; Lei Zhao
Journal:  Front Genet       Date:  2022-02-22       Impact factor: 4.599

  1 in total

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