Metaproteomic data of maize rhizosphere for deciphering functional diversity.

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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.", "claims": [{"id": "claim-data-access", "statement": "Data is within this article. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE [1] partner repository with the dataset identifier PXD014519. 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Project DOI: Not applicable", "access_statement_kind": "data_availability_statement", "sample_accessions": [], "sample_count": null, "group_sizes": null, "group_sizes_basis": null, "platform": null, "taxon": null, "title": "Metaproteomic data of maize rhizosphere", "resolution_checked_at": "2026-10-31T18:35:55Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:31692741:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:091fa6d6d14379f8e7be239e8323513b95176b3bce8db1e7481df4b73f1bc2c9", "bytes": 822, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[4]/table-wrap[1]#tbl1", "version": null, "note": "Relative abundance of functional proteins in metaproteome of maize rhizospheric soil sample.", "structure": {"pmcid": "PMC6806416", "section_index": 4, "section_title": "LC-MS/MS analysis", "row_count": 15, "column_count": 2}, "table": {"label": "Table 1", "caption": "Relative abundance of functional proteins in metaproteome of maize rhizospheric soil sample.", "rows": [["Functional Proteins", "% Relative Abundance"], ["DNA-directed RNA polymerase", "64.47"], ["Serine hydroxymethyltransferase", "6.69"], ["Polyribonucleotide nucleotidyltransferase", "5.25"], ["tRNA ligase", "4.42"], ["ATP-dependent helicase", "2.95"], ["UvrABC system protein", "1.58"], ["Chromosome partition protein", "1.29"], ["Phosphoribosylformylglycinamidine synthase", "1.18"], ["DNA ligase", "0.88"], ["Translation initiation factor", "0.86"], ["Cytadherence high molecular weight protein", "0.78"], ["Periplasmic nitrate reductase", "0.78"], ["Nitrate reductase", "0.75"], ["Other Proteins", "8.14"]], "row_count": 15, "column_count": 2, "numeric_cells": 14, "header_rows": 1, "locator": "section[4]/table-wrap[1]#tbl1"}}, {"id": "asset:table:pmid:31692741:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:9de1c868ecf4f82240fb8147f0ea5b6406b762eac0772781280a19369dc9a2e8", "bytes": 1665, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[4]/table-wrap[2]#tbl2", "version": null, "note": "List of number of proteins mapped on different metabolic pathways as in UniPathway.", "structure": {"pmcid": "PMC6806416", "section_index": 4, "section_title": "LC-MS/MS analysis", "row_count": 24, "column_count": 3}, "table": {"label": "Table 2", "caption": "List of number of proteins mapped on different metabolic pathways as in UniPathway.", "rows": [["UniPathway ID", "Pathway description", "Number of proteins mapped"], ["UPA00031", "Histidine biosynthetic process", "1"], ["UPA00034", "Biosynthesis of l-lysine through the diaminopimelate (DAP) pathway", "1"], ["UPA00048", "Leucine biosynthetic process", "1"], ["UPA00050", "l-threonine biosynthesis", "1"], ["UPA00051", "l-methionine biosynthesis", "1"], ["UPA00060", "Thiamine diphosphate biosynthetic process", "1"], ["UPA00074", "de novo’ IMP biosynthetic process", "13"], ["UPA00078", "Biotin biosynthesis", "1"], ["UPA00113", "UDP-N-acetylglucosamine biosynthetic process", "1"], ["UPA00157", "Beta-ketoadipate pathway", "1"], ["UPA00186", "Agmatine biosynthesis", "1"], ["UPA00193", "One-carbon metabolism; 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