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Daytime soybean transcriptome fluctuations during water deficit stress

BACKGROUND: Since drought can seriously affect plant growth and development and little is known about how the oscillations of gene expression during the drought stress-acclimation response in soybean is affected, we applied Illumina technology to sequence 36 cDNA libraries synthesized from control a...

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Autores principales: Rodrigues, Fabiana Aparecida, Fuganti-Pagliarini, Renata, Marcolino-Gomes, Juliana, Nakayama, Thiago Jonas, Molinari, Hugo Bruno Correa, Lobo, Francisco Pereira, Harmon, Frank G, Nepomuceno, Alexandre Lima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4491896/
https://www.ncbi.nlm.nih.gov/pubmed/26149272
http://dx.doi.org/10.1186/s12864-015-1731-x
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author Rodrigues, Fabiana Aparecida
Fuganti-Pagliarini, Renata
Marcolino-Gomes, Juliana
Nakayama, Thiago Jonas
Molinari, Hugo Bruno Correa
Lobo, Francisco Pereira
Harmon, Frank G
Nepomuceno, Alexandre Lima
author_facet Rodrigues, Fabiana Aparecida
Fuganti-Pagliarini, Renata
Marcolino-Gomes, Juliana
Nakayama, Thiago Jonas
Molinari, Hugo Bruno Correa
Lobo, Francisco Pereira
Harmon, Frank G
Nepomuceno, Alexandre Lima
author_sort Rodrigues, Fabiana Aparecida
collection PubMed
description BACKGROUND: Since drought can seriously affect plant growth and development and little is known about how the oscillations of gene expression during the drought stress-acclimation response in soybean is affected, we applied Illumina technology to sequence 36 cDNA libraries synthesized from control and drought-stressed soybean plants to verify the dynamic changes in gene expression during a 24-h time course. Cycling variables were measured from the expression data to determine the putative circadian rhythm regulation of gene expression. RESULTS: We identified 4866 genes differentially expressed in soybean plants in response to water deficit. Of these genes, 3715 were differentially expressed during the light period, from which approximately 9.55 % were observed in both light and darkness. We found 887 genes that were either up- or down-regulated in different periods of the day. Of 54,175 predicted soybean genes, 35.52 % exhibited expression oscillations in a 24 h period. This number increased to 39.23 % when plants were submitted to water deficit. Major differences in gene expression were observed in the control plants from late day (ZT16) until predawn (ZT20) periods, indicating that gene expression oscillates during the course of 24 h in normal development. Under water deficit, dissimilarity increased in all time-periods, indicating that the applied stress influenced gene expression. Such differences in plants under stress were primarily observed in ZT0 (early morning) to ZT8 (late day) and also from ZT4 to ZT12. Stress-related pathways were triggered in response to water deficit primarily during midday, when more genes were up-regulated compared to early morning. Additionally, genes known to be involved in secondary metabolism and hormone signaling were also expressed in the dark period. CONCLUSIONS: Gene expression networks can be dynamically shaped to acclimate plant metabolism under environmental stressful conditions. We have identified putative cycling genes that are expressed in soybean leaves under normal developmental conditions and genes whose expression oscillates under conditions of water deficit. These results suggest that time of day, as well as light and temperature oscillations that occur considerably affect the regulation of water deficit stress response in soybean plants. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1731-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-44918962015-07-07 Daytime soybean transcriptome fluctuations during water deficit stress Rodrigues, Fabiana Aparecida Fuganti-Pagliarini, Renata Marcolino-Gomes, Juliana Nakayama, Thiago Jonas Molinari, Hugo Bruno Correa Lobo, Francisco Pereira Harmon, Frank G Nepomuceno, Alexandre Lima BMC Genomics Research Article BACKGROUND: Since drought can seriously affect plant growth and development and little is known about how the oscillations of gene expression during the drought stress-acclimation response in soybean is affected, we applied Illumina technology to sequence 36 cDNA libraries synthesized from control and drought-stressed soybean plants to verify the dynamic changes in gene expression during a 24-h time course. Cycling variables were measured from the expression data to determine the putative circadian rhythm regulation of gene expression. RESULTS: We identified 4866 genes differentially expressed in soybean plants in response to water deficit. Of these genes, 3715 were differentially expressed during the light period, from which approximately 9.55 % were observed in both light and darkness. We found 887 genes that were either up- or down-regulated in different periods of the day. Of 54,175 predicted soybean genes, 35.52 % exhibited expression oscillations in a 24 h period. This number increased to 39.23 % when plants were submitted to water deficit. Major differences in gene expression were observed in the control plants from late day (ZT16) until predawn (ZT20) periods, indicating that gene expression oscillates during the course of 24 h in normal development. Under water deficit, dissimilarity increased in all time-periods, indicating that the applied stress influenced gene expression. Such differences in plants under stress were primarily observed in ZT0 (early morning) to ZT8 (late day) and also from ZT4 to ZT12. Stress-related pathways were triggered in response to water deficit primarily during midday, when more genes were up-regulated compared to early morning. Additionally, genes known to be involved in secondary metabolism and hormone signaling were also expressed in the dark period. CONCLUSIONS: Gene expression networks can be dynamically shaped to acclimate plant metabolism under environmental stressful conditions. We have identified putative cycling genes that are expressed in soybean leaves under normal developmental conditions and genes whose expression oscillates under conditions of water deficit. These results suggest that time of day, as well as light and temperature oscillations that occur considerably affect the regulation of water deficit stress response in soybean plants. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1731-x) contains supplementary material, which is available to authorized users. BioMed Central 2015-07-07 /pmc/articles/PMC4491896/ /pubmed/26149272 http://dx.doi.org/10.1186/s12864-015-1731-x Text en © Rodrigues et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Rodrigues, Fabiana Aparecida
Fuganti-Pagliarini, Renata
Marcolino-Gomes, Juliana
Nakayama, Thiago Jonas
Molinari, Hugo Bruno Correa
Lobo, Francisco Pereira
Harmon, Frank G
Nepomuceno, Alexandre Lima
Daytime soybean transcriptome fluctuations during water deficit stress
title Daytime soybean transcriptome fluctuations during water deficit stress
title_full Daytime soybean transcriptome fluctuations during water deficit stress
title_fullStr Daytime soybean transcriptome fluctuations during water deficit stress
title_full_unstemmed Daytime soybean transcriptome fluctuations during water deficit stress
title_short Daytime soybean transcriptome fluctuations during water deficit stress
title_sort daytime soybean transcriptome fluctuations during water deficit stress
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4491896/
https://www.ncbi.nlm.nih.gov/pubmed/26149272
http://dx.doi.org/10.1186/s12864-015-1731-x
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