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本文引用的文献

1
Functional gene array-based analysis of microbial communities in heavy metals-contaminated lake sediments.基于功能基因芯片的重金属污染湖泊沉积物微生物群落分析。
FEMS Microbiol Ecol. 2013 Nov;86(2):200-14. doi: 10.1111/1574-6941.12152. Epub 2013 Jul 9.
2
Metagenomic insights into strategies of carbon conservation and unusual sulfur biogeochemistry in a hypersaline Antarctic lake.宏基因组学揭示了高盐度南极湖中碳保护和特殊硫生物地球化学的策略。
ISME J. 2013 Oct;7(10):1944-61. doi: 10.1038/ismej.2013.69. Epub 2013 Apr 25.
3
Cross-biome metagenomic analyses of soil microbial communities and their functional attributes.跨生态系统土壤微生物群落及其功能特性的宏基因组分析。
Proc Natl Acad Sci U S A. 2012 Dec 26;109(52):21390-5. doi: 10.1073/pnas.1215210110. Epub 2012 Dec 10.
4
Sizing up metatranscriptomics.宏转录组学分析。
ISME J. 2013 Feb;7(2):237-43. doi: 10.1038/ismej.2012.94. Epub 2012 Aug 30.
5
Metagenomic analysis of a permafrost microbial community reveals a rapid response to thaw.对永久冻土微生物群落的宏基因组分析揭示了对解冻的快速响应。
Nature. 2011 Nov 6;480(7377):368-71. doi: 10.1038/nature10576.
6
Effect of nitrate and glucose addition on denitrification and nitric oxide reductase (cnorB) gene abundance and mRNA levels in Pseudomonas mandelii inoculated into anoxic soil.添加硝酸盐和葡萄糖对缺氧土壤中接种的曼氏假单胞菌的反硝化作用和一氧化氮还原酶(cnorB)基因丰度和 mRNA 水平的影响。
Antonie Van Leeuwenhoek. 2011 Aug;100(2):183-95. doi: 10.1007/s10482-011-9577-y. Epub 2011 Mar 24.
7
Autotrophic ammonia oxidation by soil thaumarchaea.土壤古菌的自养氨氧化作用。
Proc Natl Acad Sci U S A. 2010 Oct 5;107(40):17240-5. doi: 10.1073/pnas.1004947107. Epub 2010 Sep 20.
8
Denitrification gene pools, transcription and kinetics of NO, N2O and N2 production as affected by soil pH.土壤 pH 对反硝化基因库、NO、N2O 和 N2 生成的转录和动力学的影响。
FEMS Microbiol Ecol. 2010 Jun;72(3):407-17. doi: 10.1111/j.1574-6941.2010.00856.x. Epub 2010 Feb 23.
9
Microbial community structure and its functional implications.微生物群落结构及其功能意义。
Nature. 2009 May 14;459(7244):193-9. doi: 10.1038/nature08058.
10
Diverse and novel nifH and nifH-like gene sequences in the deep-sea methane seep sediments of the Okhotsk Sea.鄂霍次克海深海甲烷冷泉沉积物中多样且新颖的固氮酶铁蛋白基因(nifH)及类固氮酶铁蛋白基因序列
Appl Environ Microbiol. 2009 Apr;75(7):2238-45. doi: 10.1128/AEM.02556-08. Epub 2009 Jan 30.

蛋白质编码基因丰度与相应过程之间的关系通常是假设的,但很少被观察到。

Relationships between protein-encoding gene abundance and corresponding process are commonly assumed yet rarely observed.

作者信息

Rocca Jennifer D, Hall Edward K, Lennon Jay T, Evans Sarah E, Waldrop Mark P, Cotner James B, Nemergut Diana R, Graham Emily B, Wallenstein Matthew D

机构信息

Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, USA.

1] Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, USA [2] US Geological Survey, Fort Collins, CO, USA.

出版信息

ISME J. 2015 Aug;9(8):1693-9. doi: 10.1038/ismej.2014.252. Epub 2014 Dec 23.

DOI:10.1038/ismej.2014.252
PMID:25535936
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4511926/
Abstract

For any enzyme-catalyzed reaction to occur, the corresponding protein-encoding genes and transcripts are necessary prerequisites. Thus, a positive relationship between the abundance of gene or transcripts and corresponding process rates is often assumed. To test this assumption, we conducted a meta-analysis of the relationships between gene and/or transcript abundances and corresponding process rates. We identified 415 studies that quantified the abundance of genes or transcripts for enzymes involved in carbon or nitrogen cycling. However, in only 59 of these manuscripts did the authors report both gene or transcript abundance and rates of the appropriate process. We found that within studies there was a significant but weak positive relationship between gene abundance and the corresponding process. Correlations were not strengthened by accounting for habitat type, differences among genes or reaction products versus reactants, suggesting that other ecological and methodological factors may affect the strength of this relationship. Our findings highlight the need for fundamental research on the factors that control transcription, translation and enzyme function in natural systems to better link genomic and transcriptomic data to ecosystem processes.

摘要

对于任何酶催化反应的发生,相应的蛋白质编码基因和转录本都是必要的先决条件。因此,人们常常假定基因或转录本丰度与相应过程速率之间存在正相关关系。为了验证这一假设,我们对基因和/或转录本丰度与相应过程速率之间的关系进行了荟萃分析。我们确定了415项研究,这些研究量化了参与碳或氮循环的酶的基因或转录本丰度。然而,在这些论文中,只有59篇的作者报告了基因或转录本丰度以及相应过程的速率。我们发现,在各项研究中,基因丰度与相应过程之间存在显著但微弱的正相关关系。考虑栖息地类型、基因之间的差异或反应产物与反应物之间的差异,并不能加强这种相关性,这表明其他生态和方法学因素可能会影响这种关系的强度。我们的研究结果凸显了对自然系统中控制转录、翻译和酶功能的因素进行基础研究的必要性,以便更好地将基因组和转录组数据与生态系统过程联系起来。