Literature DB >> 33631240

Transcriptome analysis reveals significant difference in gene expression and pathways between two peanut cultivars under Al stress.

Dong Xiao1, Xia Li2, Yun-Yi Zhou2, Li Wei2, Chanthaphoone Keovongkod2, Huyi He3, Jie Zhan4, Ai-Qin Wang4, Long-Fei He5.   

Abstract

Aluminum (Al) toxicity is an important factor in limiting peanut growth on acidic soil. The molecular mechanisms underlying peanut responses to Al stress are largely unknown. In this study, we performed transcriptome analysis of the root tips (0-1 cm) of peanut cultivar ZH2 (Al-sensitive) and 99-1507 (Al-tolerant) respectively. Root tips of peanuts that treated with 100 μM Al for 8 h and 24 h were analyzed by RNA-Seq, and a total of 8,587 differentially expressed genes (DEGs) were identified. GO and KEGG pathway analysis excavated a group of important Al-responsive genes related to organic acid transport, metal cation transport, transcription regulation and programmed cell death (PCD). These homologs were promising targets to modulate Al tolerance in peanuts. It was found that the rapid transcriptomic response to Al stress in 99-1507 helped to activate effective Al tolerance mechanisms. Protein and protein interaction analysis indicated that MAPK signal transduction played important roles in the early response to Al stress in peanuts. Moreover, weighted correlation network analysis (WGCNA) identified a predicted EIL (EIN3-like) gene with greatly increased expression as an Al-associated gene, and revealed a link between ethylene signaling transduction and Al resistance related genes in peanut, which suggested the enhanced signal transduction mediated the rapid transcriptomic responses. Our results revealed key pathways and genes associated with Al stress, and improved the understanding of Al response in peanut.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aluminum stress; Arachis hypogaea; Differentially expressed genes; Programmed cell death; Transcriptome analysis

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Substances:

Year:  2021        PMID: 33631240     DOI: 10.1016/j.gene.2021.145535

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  5 in total

1.  Transcriptomic Analysis Reveals the Regulatory Networks and Hub Genes Controlling the Unsaturated Fatty Acid Contents of Developing Seed in Soybean.

Authors:  Junqi Liu; Liang Dong; Runqing Duan; Li Hu; Yinyue Zhao; Liang Zhang; Xianzhi Wang
Journal:  Front Plant Sci       Date:  2022-05-12       Impact factor: 6.627

2.  Integration of Small RNA and Degradome Sequencing Reveals the Regulatory Network of Al-Induced Programmed Cell Death in Peanut.

Authors:  Bin Tong; Yusun Shi; Aaron Ntambiyukuri; Xia Li; Jie Zhan; Aiqin Wang; Dong Xiao; Longfei He
Journal:  Int J Mol Sci       Date:  2021-12-27       Impact factor: 5.923

3.  Genome-wide identification, evolutionary and expression analyses of LEA gene family in peanut (Arachis hypogaea L.).

Authors:  RuoLan Huang; Dong Xiao; Xin Wang; Jie Zhan; AiQing Wang; LongFei He
Journal:  BMC Plant Biol       Date:  2022-03-30       Impact factor: 4.215

4.  Circadian Rhythm Regulates Reactive Oxygen Species Production and Inhibits Al-Induced Programmed Cell Death in Peanut.

Authors:  Aaron Ntambiyukuri; Xia Li; Dong Xiao; Aiqin Wang; Jie Zhan; Longfei He
Journal:  Life (Basel)       Date:  2022-08-19

5.  Genome-wide identification and evolutionary analysis of RLKs involved in the response to aluminium stress in peanut.

Authors:  Xin Wang; Ming-Hua Wu; Dong Xiao; Ruo-Lan Huang; Jie Zhan; Ai-Qin Wang; Long-Fei He
Journal:  BMC Plant Biol       Date:  2021-06-21       Impact factor: 4.215

  5 in total

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