| Literature DB >> 29988064 |
Anton Lavrinienko1, Tapio Mappes2, Eugene Tukalenko2,3, Timothy A Mousseau4, Anders P Møller5, Rob Knight6,7,8, James T Morton6,7, Luke R Thompson9,10, Phillip C Watts11.
Abstract
Gut microbiota composition depends on many factors, although the impact of environmental pollution is largely unknown. We used amplicon sequencing of bacterial 16S rRNA genes to quantify whether anthropogenic radionuclides at Chernobyl (Ukraine) impact the gut microbiome of the bank vole Myodes glareolus. Exposure to elevated levels of environmental radionuclides had no detectable effect on the gut community richness but was associated with an almost two-fold increase in the Firmicutes:Bacteroidetes ratio. Animals inhabiting uncontaminated areas had remarkably similar gut communities irrespective of their proximity to the nuclear power plant. Hence, samples could be classified to high-radiation or low-radiation sites based solely on microbial community with >90% accuracy. Radiation-associated bacteria had distinct inferred functional profiles, including pathways involved in degradation, assimilation and transport of carbohydrates, xenobiotics biodegradation, and DNA repair. Our results suggest that exposure to environmental radionuclides significantly alters vertebrate gut microbiota.Entities:
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Year: 2018 PMID: 29988064 PMCID: PMC6193954 DOI: 10.1038/s41396-018-0214-x
Source DB: PubMed Journal: ISME J ISSN: 1751-7362 Impact factor: 10.302
Fig. 1Radiation-associated differences in bank vole gut microbiota community composition and beta diversity. a Relative abundances of three major bacterial phyla and b Firmicutes to Bacteroidetes ratio (F:B) in the gut microbiota of bank voles inhabiting areas that differ in levels of environmental radiation. Asterisks indicate significant differences among areas contaminated (CH) and uncontaminated (CL) with radionuclides within the Chernobyl Exclusion Zone and an uncontaminated area near Kyiv (KL), Ukraine (Bonferroni-corrected Kruskal–Wallis test). ***P < 0.001. c Mean relative abundance of bacterial taxa at order level in the bank vole gut microbiota. Unassigned taxa (<2.3%) are not shown. d PCoA on Bray–Curtis dissimilarity distances between bank vole gut microbiota profiles among the three study areas. Each point represents a single sample, shape indicates host sex, colored according to study area: CH, red (n = 63); CL, blue (n = 43); KL, green (n = 31). Ellipses represent a 95% CI around the cluster centroid. Clustering significance by treatment group was determined by adonis, P < 0.001
Fig. 2Balance Trees analysis and PICRUSt functional predictions for the bank vole gut microbiota. Partial least squares (PLS) balance analysis of a area-differentiated OTUs (shown are the proportions in the two groups of the top 10 OTUs in each group based on PLS score) and b classification of samples to study areas based on OTU composition. c Heat map of the KEGG level-3 functional pathways that significantly differed between contaminated (CH) and both uncontaminated areas (CL and KL). Pathway counts were normalized as implemented in superheat v0.1.0 R package, abundance of each pathway is indicated by a gradient of color from red (low abundance) to blue (high abundance). Full lists of pathways associated with radiation exposure can be found in Supplementary Table 11