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Meta-analysis of the effects of overexpression of WRKY transcription factors on plant responses to drought stress

BACKGROUND: The tryptophan-arginine-lysine-tyrosine (WRKY) transcription factors play important roles in plants, allowing them to adapt to environmental conditions that are not normally conducive to plant growth; in particular, drought. There has been extensive research on WRKY transcription factors...

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Autores principales: Guo, Yuan, Ping, Wenjing, Chen, Jingtang, Zhu, Liying, Zhao, Yongfeng, Guo, Jinjie, Huang, Yaqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660937/
https://www.ncbi.nlm.nih.gov/pubmed/31349781
http://dx.doi.org/10.1186/s12863-019-0766-4
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author Guo, Yuan
Ping, Wenjing
Chen, Jingtang
Zhu, Liying
Zhao, Yongfeng
Guo, Jinjie
Huang, Yaqun
author_facet Guo, Yuan
Ping, Wenjing
Chen, Jingtang
Zhu, Liying
Zhao, Yongfeng
Guo, Jinjie
Huang, Yaqun
author_sort Guo, Yuan
collection PubMed
description BACKGROUND: The tryptophan-arginine-lysine-tyrosine (WRKY) transcription factors play important roles in plants, allowing them to adapt to environmental conditions that are not normally conducive to plant growth; in particular, drought. There has been extensive research on WRKY transcription factors and the effects of their overexpression in plants on resistance to drought stress. However, due to the materials (the type and species of donor and receptor, promoters) and treatments (the type and time of stress) used, different and often confounding results have been obtained between studies. Meta-analysis is a powerful statistical tool that can be used to summarize results from numerous independent experiments on the same research topic while accounting for variability across experiments. RESULTS: We carried out a meta-analysis of 16 measured parameters that affect drought resistance in plants overexpressing WRKY transcription factors and wild-type plants. We found that only one of these parameters was significantly different between transgenic and wild-type plants under drought and control conditions at a 95% confidence interval (p = 0.000, p = 0.009, respectively). Eleven of the sixteen parameters were obviously different in WRKY transgenic plants under drought and control conditions (SV, p = 0.023, SSC, p = 0.000, SOD, p = 0.012, SFW, p = 0.000, RL, p = 0.016, Pro, p = 0.000, POD, p = 0.027, MDA, p = 0.000, H(2)O(2), p = 0.003, EL, p = 0.000, CHC, p = 0.000, respectively), seven of the eleven obviously different parameters showed positive effect (SSC, SOD, Pro, POD, MDA, H(2)O(2), EL), four of them revealed negative effect (SV, SFW, RL, CHC). CONCLUSION: We have found that only one of these parameters was significantly different between transgenic and wild-type plants under drought and control conditions respectively, at a 95% confidence interval. And eleven of sixteen parameters showed obviously different of WRKY-overexpressed plants under different conditions (water-stressed and normal), suggesting that WRKY transcription factors play an important role in plant responses to drought stress. These findings also provide a theoretical basis for further study of the role of WRKY transcription factors in the regulation of plant responses to environmental stress. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12863-019-0766-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-66609372019-08-01 Meta-analysis of the effects of overexpression of WRKY transcription factors on plant responses to drought stress Guo, Yuan Ping, Wenjing Chen, Jingtang Zhu, Liying Zhao, Yongfeng Guo, Jinjie Huang, Yaqun BMC Genet Research Article BACKGROUND: The tryptophan-arginine-lysine-tyrosine (WRKY) transcription factors play important roles in plants, allowing them to adapt to environmental conditions that are not normally conducive to plant growth; in particular, drought. There has been extensive research on WRKY transcription factors and the effects of their overexpression in plants on resistance to drought stress. However, due to the materials (the type and species of donor and receptor, promoters) and treatments (the type and time of stress) used, different and often confounding results have been obtained between studies. Meta-analysis is a powerful statistical tool that can be used to summarize results from numerous independent experiments on the same research topic while accounting for variability across experiments. RESULTS: We carried out a meta-analysis of 16 measured parameters that affect drought resistance in plants overexpressing WRKY transcription factors and wild-type plants. We found that only one of these parameters was significantly different between transgenic and wild-type plants under drought and control conditions at a 95% confidence interval (p = 0.000, p = 0.009, respectively). Eleven of the sixteen parameters were obviously different in WRKY transgenic plants under drought and control conditions (SV, p = 0.023, SSC, p = 0.000, SOD, p = 0.012, SFW, p = 0.000, RL, p = 0.016, Pro, p = 0.000, POD, p = 0.027, MDA, p = 0.000, H(2)O(2), p = 0.003, EL, p = 0.000, CHC, p = 0.000, respectively), seven of the eleven obviously different parameters showed positive effect (SSC, SOD, Pro, POD, MDA, H(2)O(2), EL), four of them revealed negative effect (SV, SFW, RL, CHC). CONCLUSION: We have found that only one of these parameters was significantly different between transgenic and wild-type plants under drought and control conditions respectively, at a 95% confidence interval. And eleven of sixteen parameters showed obviously different of WRKY-overexpressed plants under different conditions (water-stressed and normal), suggesting that WRKY transcription factors play an important role in plant responses to drought stress. These findings also provide a theoretical basis for further study of the role of WRKY transcription factors in the regulation of plant responses to environmental stress. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12863-019-0766-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-26 /pmc/articles/PMC6660937/ /pubmed/31349781 http://dx.doi.org/10.1186/s12863-019-0766-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Guo, Yuan
Ping, Wenjing
Chen, Jingtang
Zhu, Liying
Zhao, Yongfeng
Guo, Jinjie
Huang, Yaqun
Meta-analysis of the effects of overexpression of WRKY transcription factors on plant responses to drought stress
title Meta-analysis of the effects of overexpression of WRKY transcription factors on plant responses to drought stress
title_full Meta-analysis of the effects of overexpression of WRKY transcription factors on plant responses to drought stress
title_fullStr Meta-analysis of the effects of overexpression of WRKY transcription factors on plant responses to drought stress
title_full_unstemmed Meta-analysis of the effects of overexpression of WRKY transcription factors on plant responses to drought stress
title_short Meta-analysis of the effects of overexpression of WRKY transcription factors on plant responses to drought stress
title_sort meta-analysis of the effects of overexpression of wrky transcription factors on plant responses to drought stress
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660937/
https://www.ncbi.nlm.nih.gov/pubmed/31349781
http://dx.doi.org/10.1186/s12863-019-0766-4
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