Cargando…

Candidate regulators of drought stress in tomato revealed by comparative transcriptomic and proteomic analyses

Drought is among the most common abiotic constraints of crop growth, development, and productivity. Integrating different omics approaches offers a possibility for deciphering the metabolic pathways and fundamental mechanisms involved in abiotic stress tolerance. Here, we explored the transcriptiona...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Minmin, Zhao, Gangjun, Huang, Xin, Pan, Ting, Chen, Wenjie, Qu, Mei, Ouyang, Bo, Yu, Min, Shabala, Sergey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627169/
https://www.ncbi.nlm.nih.gov/pubmed/37936934
http://dx.doi.org/10.3389/fpls.2023.1282718
_version_ 1785131484183527424
author Liu, Minmin
Zhao, Gangjun
Huang, Xin
Pan, Ting
Chen, Wenjie
Qu, Mei
Ouyang, Bo
Yu, Min
Shabala, Sergey
author_facet Liu, Minmin
Zhao, Gangjun
Huang, Xin
Pan, Ting
Chen, Wenjie
Qu, Mei
Ouyang, Bo
Yu, Min
Shabala, Sergey
author_sort Liu, Minmin
collection PubMed
description Drought is among the most common abiotic constraints of crop growth, development, and productivity. Integrating different omics approaches offers a possibility for deciphering the metabolic pathways and fundamental mechanisms involved in abiotic stress tolerance. Here, we explored the transcriptional and post-transcriptional changes in drought-stressed tomato plants using transcriptomic and proteomic profiles to determine the molecular dynamics of tomato drought stress responses. We identified 22467 genes and 5507 proteins, among which the expression of 3765 genes and 294 proteins was significantly changed under drought stress. Furthermore, the differentially expressed genes (DEGs) and differentially abundant proteins (DAPs) showed a good correlation (0.743). The results indicated that integrating different omics approaches is promising in exploring the multilayered regulatory mechanisms of plant drought resistance. Gene ontology (GO) and pathway analysis identified several GO terms and pathways related to stress resistance, including response to stress, abiotic stimulus, and oxidative stress. The plant hormone abscisic acid (ABA) plays pivotal roles in response to drought stress, ABA-response element binding factor (AREB) is a key positive regulator of ABA signaling. Moreover, our analysis indicated that drought stress increased the abscisic acid (ABA) content, which activated AREB1 expression to regulate the expression of TAS14, GSH-Px-1, and Hsp, ultimately improving tomato drought resistance. In addition, the yeast one-hybrid assay demonstrated that the AREB1 could bind the Hsp promoter to activate Hsp expression. Thus, this study involved a full-scale analysis of gene and protein expression in drought-stressed tomato, deepening the understanding of the regulatory mechanisms of the essential drought-tolerance genes in tomato.
format Online
Article
Text
id pubmed-10627169
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-106271692023-11-07 Candidate regulators of drought stress in tomato revealed by comparative transcriptomic and proteomic analyses Liu, Minmin Zhao, Gangjun Huang, Xin Pan, Ting Chen, Wenjie Qu, Mei Ouyang, Bo Yu, Min Shabala, Sergey Front Plant Sci Plant Science Drought is among the most common abiotic constraints of crop growth, development, and productivity. Integrating different omics approaches offers a possibility for deciphering the metabolic pathways and fundamental mechanisms involved in abiotic stress tolerance. Here, we explored the transcriptional and post-transcriptional changes in drought-stressed tomato plants using transcriptomic and proteomic profiles to determine the molecular dynamics of tomato drought stress responses. We identified 22467 genes and 5507 proteins, among which the expression of 3765 genes and 294 proteins was significantly changed under drought stress. Furthermore, the differentially expressed genes (DEGs) and differentially abundant proteins (DAPs) showed a good correlation (0.743). The results indicated that integrating different omics approaches is promising in exploring the multilayered regulatory mechanisms of plant drought resistance. Gene ontology (GO) and pathway analysis identified several GO terms and pathways related to stress resistance, including response to stress, abiotic stimulus, and oxidative stress. The plant hormone abscisic acid (ABA) plays pivotal roles in response to drought stress, ABA-response element binding factor (AREB) is a key positive regulator of ABA signaling. Moreover, our analysis indicated that drought stress increased the abscisic acid (ABA) content, which activated AREB1 expression to regulate the expression of TAS14, GSH-Px-1, and Hsp, ultimately improving tomato drought resistance. In addition, the yeast one-hybrid assay demonstrated that the AREB1 could bind the Hsp promoter to activate Hsp expression. Thus, this study involved a full-scale analysis of gene and protein expression in drought-stressed tomato, deepening the understanding of the regulatory mechanisms of the essential drought-tolerance genes in tomato. Frontiers Media S.A. 2023-10-23 /pmc/articles/PMC10627169/ /pubmed/37936934 http://dx.doi.org/10.3389/fpls.2023.1282718 Text en Copyright © 2023 Liu, Zhao, Huang, Pan, Chen, Qu, Ouyang, Yu and Shabala https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Liu, Minmin
Zhao, Gangjun
Huang, Xin
Pan, Ting
Chen, Wenjie
Qu, Mei
Ouyang, Bo
Yu, Min
Shabala, Sergey
Candidate regulators of drought stress in tomato revealed by comparative transcriptomic and proteomic analyses
title Candidate regulators of drought stress in tomato revealed by comparative transcriptomic and proteomic analyses
title_full Candidate regulators of drought stress in tomato revealed by comparative transcriptomic and proteomic analyses
title_fullStr Candidate regulators of drought stress in tomato revealed by comparative transcriptomic and proteomic analyses
title_full_unstemmed Candidate regulators of drought stress in tomato revealed by comparative transcriptomic and proteomic analyses
title_short Candidate regulators of drought stress in tomato revealed by comparative transcriptomic and proteomic analyses
title_sort candidate regulators of drought stress in tomato revealed by comparative transcriptomic and proteomic analyses
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627169/
https://www.ncbi.nlm.nih.gov/pubmed/37936934
http://dx.doi.org/10.3389/fpls.2023.1282718
work_keys_str_mv AT liuminmin candidateregulatorsofdroughtstressintomatorevealedbycomparativetranscriptomicandproteomicanalyses
AT zhaogangjun candidateregulatorsofdroughtstressintomatorevealedbycomparativetranscriptomicandproteomicanalyses
AT huangxin candidateregulatorsofdroughtstressintomatorevealedbycomparativetranscriptomicandproteomicanalyses
AT panting candidateregulatorsofdroughtstressintomatorevealedbycomparativetranscriptomicandproteomicanalyses
AT chenwenjie candidateregulatorsofdroughtstressintomatorevealedbycomparativetranscriptomicandproteomicanalyses
AT qumei candidateregulatorsofdroughtstressintomatorevealedbycomparativetranscriptomicandproteomicanalyses
AT ouyangbo candidateregulatorsofdroughtstressintomatorevealedbycomparativetranscriptomicandproteomicanalyses
AT yumin candidateregulatorsofdroughtstressintomatorevealedbycomparativetranscriptomicandproteomicanalyses
AT shabalasergey candidateregulatorsofdroughtstressintomatorevealedbycomparativetranscriptomicandproteomicanalyses