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Environ Microbiol Rep. 2011 Oct;3(5):535-42. doi: 10.1111/j.1758-2229.2011.00253.x. Epub 2011 Apr 4.
2
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ISME J. 2013 Apr;7(4):830-8. doi: 10.1038/ismej.2012.160. Epub 2012 Dec 13.
3
A trait-based approach for modelling microbial litter decomposition.基于特征的微生物凋落物分解模拟方法。
Ecol Lett. 2012 Sep;15(9):1058-70. doi: 10.1111/j.1461-0248.2012.01807.x. Epub 2012 May 30.
4
Ecological significance of microdiversity: coexistence among casing soil bacterial strains through allocation of nutritional resource.微观多样性的生态意义:通过营养资源分配实现菌核土壤细菌菌株的共存。
Indian J Microbiol. 2011 Jan;51(1):8-13. doi: 10.1007/s12088-011-0068-7. Epub 2011 Jan 26.
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The Fibrobacteres: an important phylum of cellulose-degrading bacteria.纤维杆菌门:重要的纤维素降解菌门。
Microb Ecol. 2012 Feb;63(2):267-81. doi: 10.1007/s00248-011-9998-1. Epub 2012 Jan 3.
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Disconnect of microbial structure and function: enzyme activities and bacterial communities in nascent stream corridors.微生物结构与功能的脱节:初生溪流廊道中的酶活性和细菌群落。
ISME J. 2012 Mar;6(3):680-91. doi: 10.1038/ismej.2011.134. Epub 2011 Oct 27.
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Fine-scale distribution patterns of Synechococcus ecological diversity in microbial mats of Mushroom Spring, Yellowstone National Park.黄石国家公园蘑菇泉微生物席中聚球藻生态多样性的精细分布模式。
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Origins of bacterial diversity through horizontal genetic transfer and adaptation to new ecological niches.细菌多样性的起源是通过水平基因转移和对新生态位的适应。
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Harnessing the power of microbial genomics for exploring exceptions and shifting perceptions.利用微生物基因组学的力量探索例外情况并转变观念。
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10
Genome sequencing of environmental Escherichia coli expands understanding of the ecology and speciation of the model bacterial species.环境大肠杆菌基因组测序拓展了对模式细菌物种生态和物种形成的理解。
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原核生物基因组中细胞外酶基因的微观多样性。

Microdiversity of extracellular enzyme genes among sequenced prokaryotic genomes.

机构信息

Department of Ecology and Evolutionary Biology, University of California Irvine, CA 92697, USA.

出版信息

ISME J. 2013 Jun;7(6):1187-99. doi: 10.1038/ismej.2012.176. Epub 2013 Jan 10.

DOI:10.1038/ismej.2012.176
PMID:23303371
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3660669/
Abstract

Understanding the relationship between prokaryotic traits and phylogeny is important for predicting and modeling ecological processes. Microbial extracellular enzymes have a pivotal role in nutrient cycling and the decomposition of organic matter, yet little is known about the phylogenetic distribution of genes encoding these enzymes. In this study, we analyzed 3058 annotated prokaryotic genomes to determine which taxa have the genetic potential to produce alkaline phosphatase, chitinase and β-N-acetyl-glucosaminidase enzymes. We then evaluated the relationship between the genetic potential for enzyme production and 16S rRNA phylogeny using the consenTRAIT algorithm, which calculated the phylogenetic depth and corresponding 16S rRNA sequence identity of clades of potential enzyme producers. Nearly half (49.2%) of the genomes analyzed were found to be capable of extracellular enzyme production, and these were non-randomly distributed across most prokaryotic phyla. On average, clades of potential enzyme-producing organisms had a maximum phylogenetic depth of 0.008004-0.009780, though individual clades varied broadly in both size and depth. These values correspond to a minimum 16S rRNA sequence identity of 98.04-98.40%. The distribution pattern we found is an indication of microdiversity, the occurrence of ecologically or physiologically distinct populations within phylogenetically related groups. Additionally, we found positive correlations among the genes encoding different extracellular enzymes. Our results suggest that the capacity to produce extracellular enzymes varies at relatively fine-scale phylogenetic resolution. This variation is consistent with other traits that require a small number of genes and provides insight into the relationship between taxonomy and traits that may be useful for predicting ecological function.

摘要

理解原核生物特征与系统发育之间的关系对于预测和模拟生态过程至关重要。微生物胞外酶在营养循环和有机物质分解中起着关键作用,但对于编码这些酶的基因的系统发育分布知之甚少。在这项研究中,我们分析了 3058 个注释的原核基因组,以确定哪些分类单元具有产生碱性磷酸酶、几丁质酶和β-N-乙酰-葡萄糖胺酶的遗传潜力。然后,我们使用 consenTRAIT 算法评估了酶产生的遗传潜力与 16S rRNA 系统发育之间的关系,该算法计算了潜在酶产生物的进化枝的进化深度和相应的 16S rRNA 序列同一性。分析的基因组中有近一半(49.2%)能够进行胞外酶生产,这些基因组在大多数原核生物门中是非随机分布的。平均而言,潜在产酶生物的进化枝的最大进化深度为 0.008004-0.009780,但个别进化枝在大小和深度上都有很大的差异。这些值对应于最小的 16S rRNA 序列同一性为 98.04-98.40%。我们发现的分布模式表明存在微观多样性,即在系统发育相关的群体中存在生态或生理上不同的种群。此外,我们发现不同胞外酶编码基因之间存在正相关。我们的结果表明,产生胞外酶的能力在相对精细的系统发育分辨率上有所不同。这种变化与需要少数基因的其他特征一致,并为预测生态功能的分类学和特征之间的关系提供了见解。