Acinas Silvia G, Klepac-Ceraj Vanja, Hunt Dana E, Pharino Chanathip, Ceraj Ivica, Distel Daniel L, Polz Martin F
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
Nature. 2004 Jul 29;430(6999):551-4. doi: 10.1038/nature02649.
Although molecular data have revealed the vast scope of microbial diversity, two fundamental questions remain unanswered even for well-defined natural microbial communities: how many bacterial types co-exist, and are such types naturally organized into phylogenetically discrete units of potential ecological significance? It has been argued that without such information, the environmental function, population biology and biogeography of microorganisms cannot be rigorously explored. Here we address these questions by comprehensive sampling of two large 16S ribosomal RNA clone libraries from a coastal bacterioplankton community. We show that compensation for artefacts generated by common library construction techniques reveals fine-scale patterns of community composition. At least 516 ribotypes (unique rRNA sequences) were detected in the sample and, by statistical extrapolation, at least 1,633 co-existing ribotypes in the sampled population. More than 50% of the ribotypes fall into discrete clusters containing less than 1% sequence divergence. This pattern cannot be accounted for by interoperon variation, indicating a large predominance of closely related taxa in this community. We propose that such microdiverse clusters arise by selective sweeps and persist because competitive mechanisms are too weak to purge diversity from within them.
尽管分子数据揭示了微生物多样性的广阔范围,但即使对于定义明确的自然微生物群落,仍有两个基本问题未得到解答:有多少种细菌类型共存,以及这些类型是否自然地组织成具有潜在生态意义的系统发育离散单元?有人认为,没有这些信息,就无法严格探索微生物的环境功能、种群生物学和生物地理学。在这里,我们通过对来自沿海浮游细菌群落的两个大型16S核糖体RNA克隆文库进行全面采样来解决这些问题。我们表明,对常见文库构建技术产生的假象进行补偿可以揭示群落组成的精细尺度模式。在样本中检测到至少516个核糖型(独特的rRNA序列),通过统计推断,在采样群体中至少有1633个共存的核糖型。超过50%的核糖型属于序列差异小于1%的离散簇。这种模式不能用操纵子间变异来解释,表明该群落中密切相关的分类群占主导地位。我们提出,这种微多样性簇是通过选择性清除产生的,并持续存在,因为竞争机制太弱,无法从其中清除多样性。