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Comparative Study
. 2016 Jul 27;6:30616.
doi: 10.1038/srep30616.

Comparison and Interpretation of Taxonomical Structure of Bacterial Communities in Two Types of Lakes on Yun-Gui Plateau of China

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Free PMC article
Comparative Study

Comparison and Interpretation of Taxonomical Structure of Bacterial Communities in Two Types of Lakes on Yun-Gui Plateau of China

Maozhen Han et al. Sci Rep. .
Free PMC article

Abstract

Bacterial communities from freshwater lakes are shaped by various factors such as nutrients, pH value, temperature, etc. Their compositions and relative abundances would undergo changes to adapt the changing environments, and in turn could affect the environments of freshwater lakes. Analyses of the freshwater lake's bacterial communities under different environments would be of pivotal importance to monitor the condition of waterbody. In this study, we have collected freshwater samples from two lakes on Yun-Gui plateau of China, Lake Dianchi and Lake Haixihai, and analyzed the bacterial community structures from these samples based on 16S rRNA sequencing. Results have shown that: Firstly, the bacterial community of these samples have very different taxonomical structures, not only between two lakes but also among the intra-groups for samples collected from Dianchi. Secondly, the differences between samples from two lakes are highly associated with the chemical-geographical properties of the two lakes. Thirdly, for samples of Dianchi and Haixihai, analytical results of physicochemical, taxonomical structure and relative abundance of community revealed that extreme physicochemical factors caused by human activities have strongly affected the bacterial ecosystem in Dianchi. These results have clearly indicated the importance of combining biological profiling and chemical-geographical properties for monitoring Chinese plateau freshwater bacterial ecosystem, which could provide clues for Chinese freshwater ecosystem remediation on plateau.

Figures

Figure 1
Figure 1. The geographical locations of DC and HXH and the sampling sites for this study.
Red box indicates sampling location for DC samples, blue box indicates sampling location for HXH samples. The geographical locations were drawn using Adobe Photoshop and Adobe Illustrator.
Figure 2
Figure 2. Rarefaction curves of OTUs for the bacterial communities’ samples from DC and HXH.
The rarefaction curves of determined tags tend to approach the saturation plateau.
Figure 3
Figure 3. Taxonomical structure and relative abundance of each sample (a) at phylum level and (b) at family level.
At specific level, “others” represent those accounting for < 1% of the total OTUs in each sample and are shown in black at the top of each bar.
Figure 4
Figure 4. Heatmap representing the differences among samples based on Bray-Crutis distance measures.
Bray-Curtis distances were calculated based on the formula: formula image. Computes the distance between μ and ν sample. i represents the OTU i in each sample. Based on the Bray-Crutis distance, a matrix was created among all samples and then for heatmap analysis.
Figure 5
Figure 5. PCoA of the dissimilarities among bacterial community taxonomical structures using thetaYC distances.
ThetaYC (formula image) measures the dissimilarity between the structures of two communities, where ST is the total number of OTUs in communities μ and ν, μi and νi is the relative abundance of OTU i in community μ and ν, respectively. A matrix of pairwise thetaYC-based distances among all samples was calculated for PCoA analysis.
Figure 6
Figure 6. CCA plot showing the separation power of statistically significant environmental factors for differentiating samples.
(a) Samples from DC and HXH; (b) Samples from DC and HXH (except DC7); (c) Samples from DC (except DC7).
Figure 7
Figure 7. Comparison between bacterial community samples from D-W and D-C by indicator and cladogram.
Samples divided into two groups according to the logarithmic LDA score, which were all higher than 3.8. (a) Sorted by degree of difference and (b) overlaid on a complete cladogram. Cladogram showed the bacterial distribution of two types of freshwater, and differences in abundance between them were presented as colors and circle’s diameters.

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