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土壤宏蛋白质组学在土壤污染评价中的应用

张曦 李锋 刘婷婷 陈英旭

应用生态学报2012,Vol.23Issue(10):2923-2930,8.
应用生态学报2012,Vol.23Issue(10):2923-2930,8.

土壤宏蛋白质组学在土壤污染评价中的应用

Applications of soft metaproteomics in soil pollution assessment: A review

张曦 1李锋 2刘婷婷 1陈英旭2

作者信息

  • 1. 浙江大学环境与资源学院环境保护研究所,杭州310058
  • 2. 浙江大学水环境研究院,杭州310058
  • 折叠

摘要

Abstract

Soil microbial indicator is one of the important biological indicators in evaluating the extent of soil contamination. In recent years, with the development of molecular biology, many studies have focused on the ecological functions of soil microorganisms by using metagenomics, metatran-scriptome and metaproteomics. Relative to metagenomics and metatranscriptome, soil metaproteomics aims to investigate the spatial and temporal changes of the proteins extracted from soil as well as the functional components of soil microbial genomic expression products, which is more conclusive to explore the ecological functions of soil microbes and their roles in soil pollutants transportation and transformation. Therefore, soil metaproteomics has great potential in soil pollution assessment. Currently, soil metaproteomics is still at its infancy stage, while soil protein extraction method is one of the key factors restraining the potential application of soil metaproteomics. In this paper, the advantages and disadvantage of soil metaproteomics in soil pollution assessment were reviewed , with the focus on the comparison of different soil protein extraction methods. In combining with case studies, the feasibility and limits of soil proteins as an indicator for soil pollution assessment were analyzed. In addition, the future research perspectives on the development of soil metaproteomics were discussed.

关键词

土壤污染/土壤微生物/宏蛋白质组学/土壤蛋白质提取方法

Key words

soil pollution/ soil microbe/ metaproteomics/ soil protein extraction method

分类

资源环境

引用本文复制引用

张曦,李锋,刘婷婷,陈英旭..土壤宏蛋白质组学在土壤污染评价中的应用[J].应用生态学报,2012,23(10):2923-2930,8.

基金项目

国家自然科学青年基金项目(21007055)和中国博士后科学基金项目(20100471714,201104718)资助. (21007055)

应用生态学报

OA北大核心CSCDCSTPCDMEDLINE

1001-9332

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