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Comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil

BACKGROUND: Studying expression of genes by direct sequencing and analysis of metatranscriptomes at a particular time and space can disclose structural and functional insights about microbial communities. The present study reports comparative analysis of metatranscriptome from two distinct soil ecos...

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Autores principales: Sharma, Pushpender Kumar, Sharma, Vinay, Sharma, Shailesh, Bhatia, Garima, Singh, Kashmir, Sharma, Rohit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821142/
https://www.ncbi.nlm.nih.gov/pubmed/31659568
http://dx.doi.org/10.1186/s43141-019-0006-3
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author Sharma, Pushpender Kumar
Sharma, Vinay
Sharma, Shailesh
Bhatia, Garima
Singh, Kashmir
Sharma, Rohit
author_facet Sharma, Pushpender Kumar
Sharma, Vinay
Sharma, Shailesh
Bhatia, Garima
Singh, Kashmir
Sharma, Rohit
author_sort Sharma, Pushpender Kumar
collection PubMed
description BACKGROUND: Studying expression of genes by direct sequencing and analysis of metatranscriptomes at a particular time and space can disclose structural and functional insights about microbial communities. The present study reports comparative analysis of metatranscriptome from two distinct soil ecosystems referred as M1 (agriculture soil) and O1 (organic soil). RESULTS: Analysis of sequencing reads revealed Proteobacteria as major dominant phyla in both soil types. The order of the top 3 abundant phyla in M1 sample was Proteobacteria > Ascomycota > Firmicutes, whereas in sample O1, the order was Proteobacteria > Cyanobacteria > Actinobacteria. Analysis of differentially expressed genes demonstrated high expression of transcripts related to copper-binding proteins, proteins involved in electron carrier activity, DNA integration, endonuclease activity, MFS transportation, and other uncharacterized proteins in M1 compared to O1. Of the particular interests, several transcripts related to nitrification, ammonification, stress response, and alternate carbon fixation pathways were highly expressed in M1. In-depth analysis of the sequencing data revealed that transcripts of archaeal origin had high expression in M1 compared to O1 indicating the active role of Archaea in metal- and pesticide-contaminated environment. In addition, transcripts encoding 4-hydroxyphenylpyruvate dioxygenase, glyoxalase/bleomycin resistance protein/dioxygenase, metapyrocatechase, and ring hydroxylating dioxygenases of aromatic hydrocarbon degradation pathways had high expression in M1. Altogether, this study provided important insights about the transcripts and pathways upregulating in the presence of pesticides and herbicides. CONCLUSION: Altogether, this study claims a high expression of microbial transcripts in two ecosystems with a wide range of functions. It further provided clue about several molecular markers which could be a strong indicator of metal and pesticide contamination in soils. Interestingly, our study revealed that Archaea are playing a significant role in nitrification process as compared to bacteria in metal- and pesticide-contaminated soil. In particular, high expression of transcripts related to aromatic hydrocarbon degradation in M1 soil indicates their important role in biodegradation of pollutants, and therefore, further investigation is needed.
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spelling pubmed-68211422019-11-14 Comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil Sharma, Pushpender Kumar Sharma, Vinay Sharma, Shailesh Bhatia, Garima Singh, Kashmir Sharma, Rohit J Genet Eng Biotechnol Research BACKGROUND: Studying expression of genes by direct sequencing and analysis of metatranscriptomes at a particular time and space can disclose structural and functional insights about microbial communities. The present study reports comparative analysis of metatranscriptome from two distinct soil ecosystems referred as M1 (agriculture soil) and O1 (organic soil). RESULTS: Analysis of sequencing reads revealed Proteobacteria as major dominant phyla in both soil types. The order of the top 3 abundant phyla in M1 sample was Proteobacteria > Ascomycota > Firmicutes, whereas in sample O1, the order was Proteobacteria > Cyanobacteria > Actinobacteria. Analysis of differentially expressed genes demonstrated high expression of transcripts related to copper-binding proteins, proteins involved in electron carrier activity, DNA integration, endonuclease activity, MFS transportation, and other uncharacterized proteins in M1 compared to O1. Of the particular interests, several transcripts related to nitrification, ammonification, stress response, and alternate carbon fixation pathways were highly expressed in M1. In-depth analysis of the sequencing data revealed that transcripts of archaeal origin had high expression in M1 compared to O1 indicating the active role of Archaea in metal- and pesticide-contaminated environment. In addition, transcripts encoding 4-hydroxyphenylpyruvate dioxygenase, glyoxalase/bleomycin resistance protein/dioxygenase, metapyrocatechase, and ring hydroxylating dioxygenases of aromatic hydrocarbon degradation pathways had high expression in M1. Altogether, this study provided important insights about the transcripts and pathways upregulating in the presence of pesticides and herbicides. CONCLUSION: Altogether, this study claims a high expression of microbial transcripts in two ecosystems with a wide range of functions. It further provided clue about several molecular markers which could be a strong indicator of metal and pesticide contamination in soils. Interestingly, our study revealed that Archaea are playing a significant role in nitrification process as compared to bacteria in metal- and pesticide-contaminated soil. In particular, high expression of transcripts related to aromatic hydrocarbon degradation in M1 soil indicates their important role in biodegradation of pollutants, and therefore, further investigation is needed. Springer Berlin Heidelberg 2019-10-14 /pmc/articles/PMC6821142/ /pubmed/31659568 http://dx.doi.org/10.1186/s43141-019-0006-3 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.
spellingShingle Research
Sharma, Pushpender Kumar
Sharma, Vinay
Sharma, Shailesh
Bhatia, Garima
Singh, Kashmir
Sharma, Rohit
Comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil
title Comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil
title_full Comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil
title_fullStr Comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil
title_full_unstemmed Comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil
title_short Comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil
title_sort comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821142/
https://www.ncbi.nlm.nih.gov/pubmed/31659568
http://dx.doi.org/10.1186/s43141-019-0006-3
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