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. 2014 Oct 20;9(10):e110128.
doi: 10.1371/journal.pone.0110128. eCollection 2014.

Distance-decay and taxa-area relationships for bacteria, archaea and methanogenic archaea in a tropical lake sediment

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Distance-decay and taxa-area relationships for bacteria, archaea and methanogenic archaea in a tropical lake sediment

Davi Pedroni Barreto et al. PLoS One. .

Abstract

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.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Sampling grid.
Designed inside the Lago Negro area, A1-F5 represents the sampling points. (Adapted from (Horner-Devine 2004)).
Figure 2
Figure 2. T-RFLP profiles of the three different genes studied in sediment inside the Lago Negro area.
A1-F5 represent the sampling points (see Figure 1 for more details), the bar size represents the relative abundance of each OTU, which are defined by their size in base pair (bp). (A) mcrA, (B) Archaeal 16S rRNA gene, and (C) Bacterial 16S rRNA gene.
Figure 3
Figure 3. Distance decay and taxa-area relationships.
Log transformed Bray-Curtis and Sørensen indices plotted against the distance separating the points, for the three different genes, lines represent a simple linear regression. (A) mcrA; (B) Archaeal 16S rRNA gene and (C) Bacterial 16S rRNA gene.

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