Identification of long non-coding RNAs in Verticillium dahliae following inoculation of cotton.


Journal

Microbiological research
ISSN: 1618-0623
Titre abrégé: Microbiol Res
Pays: Germany
ID NLM: 9437794

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 23 05 2021
revised: 20 12 2021
accepted: 04 01 2022
pubmed: 19 1 2022
medline: 19 2 2022
entrez: 18 1 2022
Statut: ppublish

Résumé

Long non-coding RNAs (lncRNAs) play important roles in diverse biological processes. However, these functions have not been assessed in Verticillium dahliae, a soil-borne fungal pathogen that causes devastating wilt diseases in many crops. The discovery and identity of novel lncRNAs and their association with virulence may contribute to an increased understanding of the regulation of virulence in V. dahliae. Here, we identified a total of 352 lncRNAs in V. dahliae. The lncRNAs were transcribed from all V. dahliae chromosomes, typically with shorter open reading frames, lower GC content, and fewer exons than protein-coding genes. In addition, 308 protein-coding genes located within 10 kb upstream and 10 kb downstream of lncRNAs were identified as neighboring genes, and which were considered as potential targets of lncRNA. These neighboring genes encode products involved in development, stress responses, and pathogenicity of V. dahliae, such as transcription factors (TF), kinase, and members of the secretome. Furthermore, 47 lncRNAs were significantly differentially expressed in V. dahliae following inoculation of susceptible cotton (Gossyoiumhisutum) cultivar Junmian No.1, suggesting that lncRNAs may be involved in the regulation of virulence in V. dahliae. Moreover, correlations in expression patterns between lncRNA and their neighboring genes were detected. Expression of lncRNA012077 and its neighboring gene was up-regulated 6 h following inoculation of cotton, while the expression of lncRNA007722 was down-regulated at 6 h but up-regulated at 24 h, in a pattern opposite to that of its neighboring gene. Overexpression of lncRNA012077 in wild-type strain (Vd991) enhanced its virulence on cotton while overexpression of lncRNA009491 reduced virulence. Identification of novel lncRNAs and their association with virulence may provide new targets for disease control.

Identifiants

pubmed: 35042052
pii: S0944-5013(22)00002-7
doi: 10.1016/j.micres.2022.126962
pii:
doi:

Substances chimiques

RNA, Long Noncoding 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

126962

Informations de copyright

Copyright © 2022. Published by Elsevier GmbH.

Auteurs

Ran Li (R)

State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.

Hui-Shan Xue (HS)

State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.

Dan-Dan Zhang (DD)

State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.

Dan Wang (D)

State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.

Jian Song (J)

State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.

Krishna V Subbarao (KV)

Department of Plant Pathology, University of California, Davis, c/o U.S. Agricultural Research Station, Salinas, CA, United States.

Steven J Klosterman (SJ)

United States Department of Agriculture, Agricultural Research Service, Crop Improvement and Protection Research Unit, Salinas, CA, United States. Electronic address: steve.klosterman@usda.gov.

Jie-Yin Chen (JY)

State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. Electronic address: chenjieyin@caas.cn.

Xiao-Feng Dai (XF)

State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. Electronic address: daixiaofeng_caas@126.com.

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Classifications MeSH