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一种宏蛋白质组学方法剖析生活在蛇纹石土壤中的植物根际主要细菌功能。

A metaproteomic approach dissecting major bacterial functions in the rhizosphere of plants living in serpentine soil.

作者信息

Mattarozzi Monica, Manfredi Marcello, Montanini Barbara, Gosetti Fabio, Sanangelantoni Anna Maria, Marengo Emilio, Careri Maria, Visioli Giovanna

机构信息

Dipartimento di Chimica, University of Parma, Parco Area delle Scienze 17/A, 43124, Parma, Italy.

Dipartimento di Scienze e Innovazione Tecnologica, University of Piemonte Orientale, Viale Teresa Michel 11, 15121, Alessandria, Italy.

出版信息

Anal Bioanal Chem. 2017 Mar;409(9):2327-2339. doi: 10.1007/s00216-016-0175-8. Epub 2017 Jan 12.

Abstract

A metaproteomic approach, based on liquid chromatography-high resolution mass spectrometry (LC-HRMS) analysis, was followed to map the major bacterial metabolic functions associated with the rhizosphere of metal-tolerant and metal hyperaccumulator plants, growing in a serpentine soil naturally contaminated by heavy metals such as Ni, Co and Cr. In particular, an "in-house" bacterial protein database was built based on the genera recognised by 16S rDNA profiling, then it was used for protein identification from LC-MS data. The combination of the information arising from three different extraction protocols, applied to each soil sample, permitted the identification of almost 800 proteins, corresponding to functions assigned to proper Gene Ontology categories. Mainly proteins involved in response to stimulus or in transport of metals and nutrients revealed variability of bacteria responses to microenvironment conditions. As for taxonomy, Phyllobacterium, Microbacterium oxidans, Pseudomonas oryzihabitans, Stenotrophomonas rhizophila and Bacillus methylotrophicus bacterial species were more represented in the rhizosphere samples of the metal-tolerant Biscutella laevigata and of the Ni hyperaccumulator Noccaea caerulescens with respect to bulk soil. Combining 16S rRNA gene-based sequencing and metaproteomic analysis, we get insights into microbial community functions and their interaction with plants colonising the stressful environment of serpentine soils.

摘要

采用基于液相色谱-高分辨率质谱(LC-HRMS)分析的宏蛋白质组学方法,绘制与生长在天然受镍、钴和铬等重金属污染的蛇纹石土壤中的耐金属和金属超积累植物根际相关的主要细菌代谢功能图谱。具体而言,基于16S rDNA谱分析识别的属构建了一个“内部”细菌蛋白质数据库,然后将其用于从LC-MS数据中鉴定蛋白质。对每个土壤样品应用三种不同提取方案所产生的信息相结合,使得能够鉴定出近800种蛋白质,这些蛋白质对应于分配到适当基因本体类别的功能。主要参与应激反应或金属及养分运输的蛋白质揭示了细菌对微环境条件反应的变异性。在分类学方面,相对于块状土壤,在耐金属的光滑节肢蕨和镍超积累植物天蓝遏蓝菜的根际样品中,叶杆菌属、氧化微杆菌、栖稻假单胞菌、嗜根寡养单胞菌和甲基营养芽孢杆菌等细菌种类更为常见。结合基于16S rRNA基因的测序和宏蛋白质组学分析,我们深入了解了微生物群落功能及其与定殖于蛇纹石土壤应激环境中的植物之间的相互作用。

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