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

Abstract 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 s...

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Main Authors: Pushpender Kumar Sharma, Vinay Sharma, Shailesh Sharma, Garima Bhatia, Kashmir Singh, Rohit Sharma
Format: Article
Language:English
Published: SpringerOpen 2019-10-01
Series:Journal of Genetic Engineering and Biotechnology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s43141-019-0006-3
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spelling doaj-33c4e43db29f4e16bdcbaecf6e861a0d2020-11-25T03:45:08ZengSpringerOpenJournal of Genetic Engineering and Biotechnology2090-59202019-10-0117111310.1186/s43141-019-0006-3Comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soilPushpender Kumar Sharma0Vinay Sharma1Shailesh Sharma2Garima Bhatia3Kashmir Singh4Rohit Sharma5Sri Guru Granth Sahib World UniversitySri Guru Granth Sahib World UniversityNational Institute of Animal Biotechnology (NIAB)Department of Biotechnology, Panjab UniversityDepartment of Biotechnology, Panjab UniversitySri Guru Granth Sahib World UniversityAbstract 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.http://link.springer.com/article/10.1186/s43141-019-0006-3MetatranscriptomicsDifferential expressionSequencingPollutantsCypermethrinHeavy metals
collection DOAJ
language English
format Article
sources DOAJ
author Pushpender Kumar Sharma
Vinay Sharma
Shailesh Sharma
Garima Bhatia
Kashmir Singh
Rohit Sharma
spellingShingle Pushpender Kumar Sharma
Vinay Sharma
Shailesh Sharma
Garima Bhatia
Kashmir Singh
Rohit Sharma
Comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil
Journal of Genetic Engineering and Biotechnology
Metatranscriptomics
Differential expression
Sequencing
Pollutants
Cypermethrin
Heavy metals
author_facet Pushpender Kumar Sharma
Vinay Sharma
Shailesh Sharma
Garima Bhatia
Kashmir Singh
Rohit Sharma
author_sort Pushpender Kumar Sharma
title 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_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_sort comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil
publisher SpringerOpen
series Journal of Genetic Engineering and Biotechnology
issn 2090-5920
publishDate 2019-10-01
description Abstract 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.
topic Metatranscriptomics
Differential expression
Sequencing
Pollutants
Cypermethrin
Heavy metals
url http://link.springer.com/article/10.1186/s43141-019-0006-3
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