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Metaproteomic data of maize rhizosphere for deciphering functional diversity

Metaproteomics is a powerful tool for obtaining data on all proteins recovered directly from environmental samples at a given time. It provides a direct evidence of functional diversity and structure among microbiota present in niches and significant insights into microbial activity together with me...

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Autores principales: Renu, Gupta, Sanjay Kumar, Rai, Ashutosh Kumar, Sarim, Khan Mohd., Sharma, Anu, Budhlakoti, Neeraj, Arora, Devendra, Verma, Dhiraj Kumar, Singh, Dhananjaya P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806416/
https://www.ncbi.nlm.nih.gov/pubmed/31692741
http://dx.doi.org/10.1016/j.dib.2019.104574
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author Renu
Gupta, Sanjay Kumar
Rai, Ashutosh Kumar
Sarim, Khan Mohd.
Sharma, Anu
Budhlakoti, Neeraj
Arora, Devendra
Verma, Dhiraj Kumar
Singh, Dhananjaya P.
author_facet Renu
Gupta, Sanjay Kumar
Rai, Ashutosh Kumar
Sarim, Khan Mohd.
Sharma, Anu
Budhlakoti, Neeraj
Arora, Devendra
Verma, Dhiraj Kumar
Singh, Dhananjaya P.
author_sort Renu
collection PubMed
description Metaproteomics is a powerful tool for obtaining data on all proteins recovered directly from environmental samples at a given time. It provides a direct evidence of functional diversity and structure among microbiota present in niches and significant insights into microbial activity together with metabolomics, which is the study of the intermediate and end-products of cellular processes. Metaproteomics is a comparatively new approach which is facing a number of empirical, technical, computational and experimental design challenges that needs to be addressed. Presently only little efforts have been made to have information on microbial proteins in rhizospheric soil of maize through metagemonics approach but there is no direct evidence on functions of microbial community in this very important niche. Since rhizosphere microbiome plays important role in plant growth and development the present study is conducted to optimize the metaproteomic extraction protocol from maize rhizosphere and analyse functionality of microbial communities. We present metaproteome data from maize rhizospheric soil. Isolation of metaproteome from maize rhizosphere collected from ICAR-IISS, Mau experimental Farm was done with the standardized protocol at our laboratory and metaproteome analysis was done with the standardized pipeline. In total 696 proteins with different functions representing 244 genus and 393 species were identified. The proteome data provides direct evidence on the biological processes in soil ecosystem and is the first reported reference data from maize rhizosphere. The LC MS/MS proteomic data are available via ProteomeXchange with identifier PXD014519.
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spelling pubmed-68064162019-11-05 Metaproteomic data of maize rhizosphere for deciphering functional diversity Renu Gupta, Sanjay Kumar Rai, Ashutosh Kumar Sarim, Khan Mohd. Sharma, Anu Budhlakoti, Neeraj Arora, Devendra Verma, Dhiraj Kumar Singh, Dhananjaya P. Data Brief Agricultural and Biological Science Metaproteomics is a powerful tool for obtaining data on all proteins recovered directly from environmental samples at a given time. It provides a direct evidence of functional diversity and structure among microbiota present in niches and significant insights into microbial activity together with metabolomics, which is the study of the intermediate and end-products of cellular processes. Metaproteomics is a comparatively new approach which is facing a number of empirical, technical, computational and experimental design challenges that needs to be addressed. Presently only little efforts have been made to have information on microbial proteins in rhizospheric soil of maize through metagemonics approach but there is no direct evidence on functions of microbial community in this very important niche. Since rhizosphere microbiome plays important role in plant growth and development the present study is conducted to optimize the metaproteomic extraction protocol from maize rhizosphere and analyse functionality of microbial communities. We present metaproteome data from maize rhizospheric soil. Isolation of metaproteome from maize rhizosphere collected from ICAR-IISS, Mau experimental Farm was done with the standardized protocol at our laboratory and metaproteome analysis was done with the standardized pipeline. In total 696 proteins with different functions representing 244 genus and 393 species were identified. The proteome data provides direct evidence on the biological processes in soil ecosystem and is the first reported reference data from maize rhizosphere. The LC MS/MS proteomic data are available via ProteomeXchange with identifier PXD014519. Elsevier 2019-09-27 /pmc/articles/PMC6806416/ /pubmed/31692741 http://dx.doi.org/10.1016/j.dib.2019.104574 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Agricultural and Biological Science
Renu
Gupta, Sanjay Kumar
Rai, Ashutosh Kumar
Sarim, Khan Mohd.
Sharma, Anu
Budhlakoti, Neeraj
Arora, Devendra
Verma, Dhiraj Kumar
Singh, Dhananjaya P.
Metaproteomic data of maize rhizosphere for deciphering functional diversity
title Metaproteomic data of maize rhizosphere for deciphering functional diversity
title_full Metaproteomic data of maize rhizosphere for deciphering functional diversity
title_fullStr Metaproteomic data of maize rhizosphere for deciphering functional diversity
title_full_unstemmed Metaproteomic data of maize rhizosphere for deciphering functional diversity
title_short Metaproteomic data of maize rhizosphere for deciphering functional diversity
title_sort metaproteomic data of maize rhizosphere for deciphering functional diversity
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806416/
https://www.ncbi.nlm.nih.gov/pubmed/31692741
http://dx.doi.org/10.1016/j.dib.2019.104574
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