Barreto Davi Pedroni, Conrad Ralf, Klose Melanie, Claus Peter, Enrich-Prast Alex
Instituto de Microbiologia Prof. Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Max-Planck Institute for Terrestrial Microbiology, Marburg, Hessen, Germany.
PLoS One. 2014 Oct 20;9(10):e110128. doi: 10.1371/journal.pone.0110128. eCollection 2014.
The study of of the distribution of microorganisms through space (and time) allows evaluation of biogeographic patterns, like the species-area index (z). Due to their high dispersal ability, high reproduction rates and low rates of extinction microorganisms tend to be widely distributed, and they are thought to be virtually cosmopolitan and selected primarily by environmental factors. Recent studies have shown that, despite these characteristics, microorganisms may behave like larger organisms and exhibit geographical distribution. In this study, we searched patterns of spatial diversity distribution of bacteria and archaea in a contiguous environment. We collected 26 samples of a lake sediment, distributed in a nested grid, with distances between samples ranging from 0.01 m to 1000 m. The samples were analyzed using T-RFLP (Terminal restriction fragment length polymorphism) targeting mcrA (coding for a subunit of methyl-coenzyme M reductase) and the genes of Archaeal and Bacterial 16S rRNA. From the qualitative and quantitative results (relative abundance of operational taxonomic units) we calculated the similarity index for each pair to evaluate the taxa-area and distance decay relationship slopes by linear regression. All results were significant, with mcrA genes showing the highest slope, followed by Archaeal and Bacterial 16S rRNA genes. We showed that the microorganisms of a methanogenic community, that is active in a contiguous environment, display spatial distribution and a taxa-area relationship.
对微生物在空间(和时间)上分布的研究有助于评估生物地理模式,比如物种 - 面积指数(z)。由于微生物具有高扩散能力、高繁殖率和低灭绝率,它们往往分布广泛,被认为几乎是世界性的,并且主要受环境因素影响。最近的研究表明,尽管有这些特征,微生物可能表现得像大型生物一样并呈现出地理分布。在本研究中,我们在一个连续的环境中探寻细菌和古菌的空间多样性分布模式。我们收集了26个湖泊沉积物样本,这些样本分布在一个嵌套网格中,样本之间的距离从0.01米到1000米不等。使用靶向mcrA(编码甲基辅酶M还原酶的一个亚基)以及古菌和细菌16S rRNA基因的末端限制性片段长度多态性(T - RFLP)对样本进行分析。根据定性和定量结果(操作分类单元的相对丰度),我们计算每对样本的相似性指数,通过线性回归评估分类单元 - 面积和距离衰减关系的斜率。所有结果均具有显著性,mcrA基因显示出最高的斜率,其次是古菌和细菌的16S rRNA基因。我们表明,在一个连续环境中活跃的产甲烷群落的微生物呈现出空间分布和分类单元 - 面积关系。