Department of Ecology and Evolutionary Biology, University of California Irvine, CA 92697, USA.
ISME J. 2013 Jun;7(6):1187-99. doi: 10.1038/ismej.2012.176. Epub 2013 Jan 10.
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.
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。