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Construction, analysis and validation of co-expression network to understand stress adaptation in Deinococcus radiodurans R1

Systems biology based approaches have been effectively utilized to mine high throughput data. In the current study, we have performed system-level analysis for Deinococcus radiodurans R1 by constructing a gene co-expression network based on several microarray datasets available in the public domain....

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Autores principales: Joshi, Suraj R., Jagtap, Surabhi, Basu, Bhakti, Deobagkar, Deepti D., Ghosh, Payel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314050/
https://www.ncbi.nlm.nih.gov/pubmed/32579573
http://dx.doi.org/10.1371/journal.pone.0234721
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author Joshi, Suraj R.
Jagtap, Surabhi
Basu, Bhakti
Deobagkar, Deepti D.
Ghosh, Payel
author_facet Joshi, Suraj R.
Jagtap, Surabhi
Basu, Bhakti
Deobagkar, Deepti D.
Ghosh, Payel
author_sort Joshi, Suraj R.
collection PubMed
description Systems biology based approaches have been effectively utilized to mine high throughput data. In the current study, we have performed system-level analysis for Deinococcus radiodurans R1 by constructing a gene co-expression network based on several microarray datasets available in the public domain. This condition-independent network was constructed by Weighted Gene Co-expression Network Analysis (WGCNA) with 61 microarray samples from 9 different experimental conditions. We identified 13 co-expressed modules, of which, 11 showed functional enrichments of one or more pathway/s or biological process. Comparative analysis of differentially expressed genes and proteins from radiation and desiccation stress studies with our co-expressed modules revealed the association of cyan with radiation response. Interestingly, two modules viz darkgreen and tan was associated with radiation as well as desiccation stress responses. The functional analysis of these modules showed enrichment of pathways important for adaptation of radiation or desiccation stress. To decipher the regulatory roles of these stress responsive modules, we identified transcription factors (TFs) and then calculated a Biweight mid correlation between modules hub gene and the identified TFs. We obtained 7 TFs for radiation and desiccation responsive modules. The expressions of 3 TFs were validated in response to gamma radiation using qRT-PCR. Along with the TFs, selected close neighbor genes of two important TFs, viz., DR_0997 (CRP) and DR_2287 (AsnC family transcriptional regulator) in the darkgreen module were also validated. In our network, among 13 hub genes associated with 13 modules, the functionality of 5 hub genes which are annotated as hypothetical proteins (hypothetical hub genes) in D. radiodurans genome has been revealed. Overall the study provided a better insight of pathways and regulators associated with relevant DNA damaging stress response in D. radiodurans.
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spelling pubmed-73140502020-06-29 Construction, analysis and validation of co-expression network to understand stress adaptation in Deinococcus radiodurans R1 Joshi, Suraj R. Jagtap, Surabhi Basu, Bhakti Deobagkar, Deepti D. Ghosh, Payel PLoS One Research Article Systems biology based approaches have been effectively utilized to mine high throughput data. In the current study, we have performed system-level analysis for Deinococcus radiodurans R1 by constructing a gene co-expression network based on several microarray datasets available in the public domain. This condition-independent network was constructed by Weighted Gene Co-expression Network Analysis (WGCNA) with 61 microarray samples from 9 different experimental conditions. We identified 13 co-expressed modules, of which, 11 showed functional enrichments of one or more pathway/s or biological process. Comparative analysis of differentially expressed genes and proteins from radiation and desiccation stress studies with our co-expressed modules revealed the association of cyan with radiation response. Interestingly, two modules viz darkgreen and tan was associated with radiation as well as desiccation stress responses. The functional analysis of these modules showed enrichment of pathways important for adaptation of radiation or desiccation stress. To decipher the regulatory roles of these stress responsive modules, we identified transcription factors (TFs) and then calculated a Biweight mid correlation between modules hub gene and the identified TFs. We obtained 7 TFs for radiation and desiccation responsive modules. The expressions of 3 TFs were validated in response to gamma radiation using qRT-PCR. Along with the TFs, selected close neighbor genes of two important TFs, viz., DR_0997 (CRP) and DR_2287 (AsnC family transcriptional regulator) in the darkgreen module were also validated. In our network, among 13 hub genes associated with 13 modules, the functionality of 5 hub genes which are annotated as hypothetical proteins (hypothetical hub genes) in D. radiodurans genome has been revealed. Overall the study provided a better insight of pathways and regulators associated with relevant DNA damaging stress response in D. radiodurans. Public Library of Science 2020-06-24 /pmc/articles/PMC7314050/ /pubmed/32579573 http://dx.doi.org/10.1371/journal.pone.0234721 Text en © 2020 Joshi et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited.
spellingShingle Research Article
Joshi, Suraj R.
Jagtap, Surabhi
Basu, Bhakti
Deobagkar, Deepti D.
Ghosh, Payel
Construction, analysis and validation of co-expression network to understand stress adaptation in Deinococcus radiodurans R1
title Construction, analysis and validation of co-expression network to understand stress adaptation in Deinococcus radiodurans R1
title_full Construction, analysis and validation of co-expression network to understand stress adaptation in Deinococcus radiodurans R1
title_fullStr Construction, analysis and validation of co-expression network to understand stress adaptation in Deinococcus radiodurans R1
title_full_unstemmed Construction, analysis and validation of co-expression network to understand stress adaptation in Deinococcus radiodurans R1
title_short Construction, analysis and validation of co-expression network to understand stress adaptation in Deinococcus radiodurans R1
title_sort construction, analysis and validation of co-expression network to understand stress adaptation in deinococcus radiodurans r1
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314050/
https://www.ncbi.nlm.nih.gov/pubmed/32579573
http://dx.doi.org/10.1371/journal.pone.0234721
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