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ISME J. 2012 Apr;6(4):814-26. doi: 10.1038/ismej.2011.136. Epub 2011 Oct 13.
2
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本文引用的文献

1
HiSpOD: probe design for functional DNA microarrays.HiSpOD:用于功能 DNA 微阵列的探针设计。
Bioinformatics. 2011 Mar 1;27(5):641-8. doi: 10.1093/bioinformatics/btq712. Epub 2011 Jan 6.
2
GeoChip 3.0 as a high-throughput tool for analyzing microbial community composition, structure and functional activity.GeoChip 3.0 作为一种高通量工具,用于分析微生物群落组成、结构和功能活性。
ISME J. 2010 Sep;4(9):1167-79. doi: 10.1038/ismej.2010.46. Epub 2010 Apr 29.
3
Hydrogenases from methanogenic archaea, nickel, a novel cofactor, and H2 storage.产甲烷古菌中的氢化酶、镍、一种新型辅因子和 H2 储存。
Annu Rev Biochem. 2010;79:507-36. doi: 10.1146/annurev.biochem.030508.152103.
4
Comparison of lactate, formate, and propionate as hydrogen donors for the reductive dehalogenation of trichloroethene in a continuous-flow column.比较乳酸盐、甲酸盐和丙酸盐作为氢供体在连续流柱中对三氯乙烯的还原脱卤作用。
J Contam Hydrol. 2010 Apr 1;113(1-4):77-92. doi: 10.1016/j.jconhyd.2010.02.004. Epub 2010 Feb 12.
5
Electron transfer in syntrophic communities of anaerobic bacteria and archaea.厌氧细菌和古菌互营群落中的电子传递。
Nat Rev Microbiol. 2009 Aug;7(8):568-77. doi: 10.1038/nrmicro2166.
6
[FeFe] hydrogenase genetic diversity provides insight into molecular adaptation in a saline microbial mat community.[铁铁]氢化酶的遗传多样性有助于深入了解盐渍微生物垫群落中的分子适应性。
Appl Environ Microbiol. 2009 Jul;75(13):4620-3. doi: 10.1128/AEM.00582-09. Epub 2009 May 8.
7
Sulfate-reducing bacteria in marine sediment (Aarhus Bay, Denmark): abundance and diversity related to geochemical zonation.丹麦奥胡斯湾海洋沉积物中的硫酸盐还原菌:与地球化学分区相关的丰度和多样性
Environ Microbiol. 2009 May;11(5):1278-91. doi: 10.1111/j.1462-2920.2008.01855.x. Epub 2009 Feb 10.
8
Spatial and temporal variability in a stratified hypersaline microbial mat community.分层高盐度微生物垫群落中的时空变异性。
FEMS Microbiol Ecol. 2009 Apr;68(1):46-58. doi: 10.1111/j.1574-6941.2009.00647.x. Epub 2009 Jan 22.
9
Syntrophic growth on formate: a new microbial niche in anoxic environments.以甲酸盐为底物的互营生长:缺氧环境中的一个新微生物生态位。
Appl Environ Microbiol. 2008 Oct;74(19):6126-31. doi: 10.1128/AEM.01428-08. Epub 2008 Aug 15.
10
Simultaneous quantification of multiple nucleic acid targets in complex rRNA mixtures using high density microarrays and nonspecific hybridization as a source of information.使用高密度微阵列和非特异性杂交作为信息来源,同时对复杂rRNA混合物中的多个核酸靶标进行定量分析。
J Microbiol Methods. 2008 Sep;75(1):92-102. doi: 10.1016/j.mimet.2008.05.013. Epub 2008 May 19.

氢酶芯片:一种用于表征微生物群落中产氢和耗氢微生物的平铺寡核苷酸 DNA 微阵列技术。

The Hydrogenase Chip: a tiling oligonucleotide DNA microarray technique for characterizing hydrogen-producing and -consuming microbes in microbial communities.

机构信息

Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA.

出版信息

ISME J. 2012 Apr;6(4):814-26. doi: 10.1038/ismej.2011.136. Epub 2011 Oct 13.

DOI:10.1038/ismej.2011.136
PMID:21993396
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3309348/
Abstract

We developed a broad-ranging method for identifying key hydrogen-producing and consuming microorganisms through analysis of hydrogenase gene content and expression in complex anaerobic microbial communities. The method is based on a tiling hydrogenase gene oligonucleotide DNA microarray (Hydrogenase Chip), which implements a high number of probes per gene by tiling probe sequences across genes of interest at 1.67 × -2 × coverage. This design favors the avoidance of false positive gene identification in samples of DNA or RNA extracted from complex microbial communities. We applied this technique to interrogate interspecies hydrogen transfer in complex communities in (i) lab-scale reductive dehalogenating microcosms enabling us to delineate key H(2)-consuming microorganisms, and (ii) hydrogen-generating microbial mats where we found evidence for significant H(2) production by cyanobacteria. Independent quantitative PCR analysis on selected hydrogenase genes showed that this Hydrogenase Chip technique is semiquantitative. We also determined that as microbial community complexity increases, specificity must be traded for sensitivity in analyzing data from tiling DNA microarrays.

摘要

我们开发了一种广泛的方法,通过分析复杂厌氧微生物群落中的氢化酶基因含量和表达来识别关键的产氢和耗氢微生物。该方法基于一种铺设氢化酶基因寡核苷酸 DNA 微阵列(氢化酶芯片),通过在感兴趣的基因上以 1.67×-2×覆盖率铺设探针序列来实现每个基因的大量探针。这种设计有利于避免从复杂微生物群落中提取的 DNA 或 RNA 样本中假阳性基因的识别。我们将该技术应用于(i)实验室规模的还原脱卤微宇宙中复杂群落中的种间氢转移研究,使我们能够描绘关键的 H(2)消耗微生物,以及(ii)产氢微生物垫,在那里我们发现了蓝细菌产生大量 H(2)的证据。对选定的氢化酶基因进行独立的定量 PCR 分析表明,这种氢化酶芯片技术是半定量的。我们还确定,随着微生物群落复杂性的增加,在分析铺设 DNA 微阵列数据时,必须在特异性和灵敏度之间进行权衡。