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Environ Microbiol. 2008 Mar;10(3):571-9. doi: 10.1111/j.1462-2920.2007.01476.x. Epub 2008 Jan 7.
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Biphenyl-utilizing bacteria and their functional genes in a pine root zone contaminated with polychlorinated biphenyls (PCBs).在受多氯联苯(PCBs)污染的松树根际中利用联苯的细菌及其功能基因。
ISME J. 2007 Jun;1(2):134-48. doi: 10.1038/ismej.2007.26. Epub 2007 May 24.
3
GeoChip: a comprehensive microarray for investigating biogeochemical, ecological and environmental processes.GeoChip:一种用于研究生物地球化学、生态和环境过程的综合微阵列。
ISME J. 2007 May;1(1):67-77. doi: 10.1038/ismej.2007.2.
4
Comparative quantitative prevalence of Mycobacteria and functionally abundant nidA, nahAc, and nagAc dioxygenase genes in coal tar contaminated sediments.煤焦油污染沉积物中分枝杆菌以及功能丰富的nidA、nahAc和nagAc双加氧酶基因的比较定量流行情况。
Environ Sci Technol. 2007 Aug 1;41(15):5426-32. doi: 10.1021/es070406c.
5
In situ bioremediation.原位生物修复
Adv Appl Microbiol. 2007;61:285-305. doi: 10.1016/S0065-2164(06)61008-3.
6
Detection of anaerobic toluene and hydrocarbon degraders in contaminated aquifers using benzylsuccinate synthase (bssA) genes as a functional marker.利用琥珀酸苄酯合成酶(bssA)基因作为功能标记物检测受污染含水层中的厌氧甲苯和烃降解菌。
Environ Microbiol. 2007 Apr;9(4):1035-46. doi: 10.1111/j.1462-2920.2006.01230.x.
7
Microarray-based analysis of microbial community RNAs by whole-community RNA amplification.通过全群落RNA扩增对微生物群落RNA进行基于微阵列的分析。
Appl Environ Microbiol. 2007 Jan;73(2):563-71. doi: 10.1128/AEM.01771-06. Epub 2006 Nov 10.
8
A TaqMan polymerase chain reaction method for monitoring RDX-degrading bacteria based on the xplA functional gene.一种基于xplA功能基因监测RDX降解菌的TaqMan聚合酶链反应方法。
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Microarray-based analysis of subnanogram quantities of microbial community DNAs by using whole-community genome amplification.通过全群落基因组扩增对亚纳克级微生物群落DNA进行基于微阵列的分析。
Appl Environ Microbiol. 2006 Jul;72(7):4931-41. doi: 10.1128/AEM.02738-05.
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The abundance of nahAc genes correlates with the 14C-naphthalene mineralization potential in petroleum hydrocarbon-contaminated oxic soil layers.nahAc基因的丰度与石油烃污染的有氧土壤层中14C-萘的矿化潜力相关。
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生物修复过程中分解代谢基因监测的研究进展。

Advances in monitoring of catabolic genes during bioremediation.

机构信息

Finnish Environment Institute, P.O. Box 140, FI-00251 Helsinki, Finland.

出版信息

Indian J Microbiol. 2008 Jun;48(2):152-5. doi: 10.1007/s12088-008-0021-6. Epub 2008 Jun 12.

DOI:10.1007/s12088-008-0021-6
PMID:23100709
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3450184/
Abstract

Biodegradation of xenobiotic compounds by microbes is exploited in the clean up of contaminated environments by bioremediation. Catabolic (or functional) genes encode for specific enzymes in catabolic pathways such as key enzymes in xenobiotic degradation pathways. By assessing the abundance or the expression of key genes in environmental samples one can get a potential measure of the degradation activity. One way of assessing the abundance and expression of specific catabolic genes is by analyzing the metagenomic DNA and RNA from environmental samples. Three major challenges in the detection and quantification of catabolic genes in bioremediation studies are 1) the accurate and sensitive quantification from environmental samples 2) the coverage of the enzymatic potential by the targeted genes 3) the validation of the correlation with actual observed degradation activities in field cases. New advances in realtime PCR, functional gene arrays and meta-transcriptomics have improved the applicability of catabolic gene assessment during bioremediation.

摘要

微生物对外源化合物的生物降解作用被用于生物修复来净化污染环境。异化(或功能)基因在异化途径中编码特定的酶,如外源化合物降解途径中的关键酶。通过评估环境样本中关键基因的丰度或表达,可以获得降解活性的潜在衡量标准。评估特定异化基因的丰度和表达的一种方法是分析环境样本的宏基因组 DNA 和 RNA。在生物修复研究中检测和定量异化基因的三个主要挑战是 1)从环境样本中进行准确和灵敏的定量 2)目标基因对酶潜能的覆盖 3)与野外实际观察到的降解活动的相关性的验证。实时 PCR、功能基因阵列和元转录组学的新进展提高了生物修复过程中异化基因评估的适用性。