Metaproteomic data of maize rhizosphere for deciphering functional diversity

Renu; Sanjay Kumar Gupta; Ashutosh Kumar Rai; Khan Mohd Sarim; Anu Sharma; Neeraj Budhlakoti; Devendra Arora; Dhiraj Kumar Verma; Dhananjaya P Singh

doi:10.1016/j.dib.2019.104574

Metaproteomic data of maize rhizosphere for deciphering functional diversity

Data Brief. 2019 Sep 27:27:104574. doi: 10.1016/j.dib.2019.104574. eCollection 2019 Dec.

Authors

Renu¹, Sanjay Kumar Gupta¹, Ashutosh Kumar Rai², Khan Mohd Sarim¹, Anu Sharma³, Neeraj Budhlakoti³, Devendra Arora³, Dhiraj Kumar Verma¹, Dhananjaya P Singh¹

Affiliations

¹ ICAR-National Bureau of Agriculturally Important Microorganisms, Kushmaur, Maunath Bhanjan, 275 101, India.
² Department of Biochemistry, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia.
³ Centre for Agricultural Bioinformatics, ICAR-IASRI, New Delhi, 110012, India.

Abstract

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.

Keywords: Maize rhizosphere; Metaproteome; Microbiota; Soil microbial proteins.