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Changes in mouse gut bacterial community in response to different types of drinking water

Dias, Marcela F., Reis, Mariana P., Acurcio, Leonardo B., Carmo, Anderson O., Diamantino, Cristiane F., Motta, Amanda M., Kalapothakis, Evanguedes, Nicoli, Jacques R., Nascimento, Andréa M.A.·2018·Water Research
DOI 10.1016/j.watres.2017.12.052
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Abstract

Gut microbiota exerts a fundamental role on host physiology, and how extrinsic perturbations influence its composition has been increasingly examined. However, the effect of drinking water on gut microbiota is still poorly understood. In this study, we explored the response of mouse gut bacterial community (fecal and mucosa-adhered) to the ingestion of different types of drinking water. The experimental cohort was divided according to different water sources into four groups of mice that consumed autoclaved tap water (control group), water collected directly from a drinking water treatment plant, tap water, and commercial bottled mineral water. Differences among groups were observed, especially related to control group, which exhibited the smallest intra-group variation, and the largest distance from test groups on the last experimental day. Clinically important taxa, such as Acinetobacter and Staphylococcus, increased in feces of mice that drank tap water and in mucosa-adhered samples of animals from disinfected and tap water groups. Furthermore, statistical analyses showed that both time elapsed between samplings and water type significantly influenced the variation observed in the samples. Our results reveal that drinking water potentially affects gut microbiota composition. Additionally, the increase of typical drinking water clinically relevant and antibiotic resistance-associated bacteria in gut microbiota is a cause of concern.

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Research works printed but not linked: 54

  1. Atrouni, 2016, Reservoirs of non-baumannii Acinetobacter species, Front. Microbiol., 7, 1, 10.3389/fmicb.2016.00049 · DOI
  2. Byappanahalli, 2012, Enterococci in the environment, Microbiol. Mol. Biol. Rev., 76, 685, 10.1128/MMBR.00023-12 · DOI
  3. Caporaso, 2012, Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms, ISME J., 6, 1621, 10.1038/ismej.2012.8 · DOI · Paper page
  4. Chao, 2013, Metagenomic analysis reveals significant changes of microbial compositions and protective functions during drinking water treatment, Sci. Rep., 3, 9, 10.1038/srep03550 · DOI
  5. Coyte, 2015, The ecology of the microbiome: networks, competition, and stability, Science, 350, 663, 10.1126/science.aad2602 · DOI
  6. Cryan, 2012, Mind-altering microorganisms : the impact of the gut microbiota on brain and behaviour of the nineteenth century through the pioneering work, Nat. Rev. Neurosci., 13, 701, 10.1038/nrn3346 · DOI · Paper page
  7. Derrien, 2015, Fate, activity, and impact of ingested bacteria within the human gut microbiota, Trends Microbiol., 23, 354, 10.1016/j.tim.2015.03.002 · DOI · Paper page
  8. Dodd, 2012, Potential impacts of disinfection processes on elimination and deactivation of antibiotic resistance genes during water and wastewater treatment, J. Environ. Monit., 14, 1754, 10.1039/c2em00006g · DOI
  9. Edgar, 2011, UCHIME improves sensitivity and speed of chimera detection, Bioinformatics, 27, 2194, 10.1093/bioinformatics/btr381 · DOI · Paper page
  10. Falcone-Dias, 2012, Bottled mineral water as a potential source of antibiotic resistant bacteria, Water Res., 46, 3612, 10.1016/j.watres.2012.04.007 · DOI
  11. Forbes, 2016, Microbiome profiling of drinking water in relation to incidence of inflammatory bowel disease, Can. J. Microbiol., 62, 771, 10.1139/cjm-2016-0219 · DOI
  12. Francino, 2016, Antibiotics and the human Gut microbiome: dysbioses and accumulation of resistances, Front. Microbiol., 6, 1543, 10.3389/fmicb.2015.01543 · DOI
  13. França, 2015, Microbial diversity and dynamics of a groundwater and a still bottled natural mineral water, Environ. Microbiol., 17, 577, 10.1111/1462-2920.12430 · DOI
  14. Fulsundar, 2015, Molecular characterization of outer membrane vesicles released from acinetobacter radioresistens and their potential roles in pathogenesis, Microb. Pathog., 83–84, 12, 10.1016/j.micpath.2015.04.005 · DOI
  15. Gomez-Alvarez, 2016, Environmental Science Resilience of microbial communities in a simulated drinking water distribution system subjected to disturbances : role of conditionally rare taxa and potential implications for antibiotic-, Environ. Sci.: Water Res. Technol., 2, 645
  16. Gonza, 2014, Enterococcus olivae sp. nov., isolated from Spanish-style green-olive fermentations, Int. J. Syst. Evol. Microbiol., 64, 2534, 10.1099/ijs.0.062208-0 · DOI
  17. Gu, 2013, Bacterial community mapping of the mouse gastrointestinal tract, PLoS One, 8, e74957, 10.1371/journal.pone.0074957 · DOI
  18. Hsiao, 2013, Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders, Cell, 155, 1451, 10.1016/j.cell.2013.11.024 · DOI · Paper page
  19. Jawad, 1998, Exceptional desiccation tolerance of Acinetobacter radioresistens, J. Hosp. Infect., 39, 235, 10.1016/S0195-6701(98)90263-8 · DOI
  20. Karumathil, 2014, Effect of chlorine exposure on the survival and antibiotic gene expression of multidrug resistant Acinetobacter baumannii in water, Int. J. Environ. Res. Publ. Health, 11, 1844, 10.3390/ijerph110201844 · DOI
  21. Keersmaecker, 2007, Adherence factors of Lactobacillus in the human gastrointestinal tract, FEMS Microbiol. Lett., 276, 140, 10.1111/j.1574-6968.2007.00908.x · DOI
  22. Klindworth, 2013, Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies, Nucleic Acids Res., 41, 1, 10.1093/nar/gks808 · DOI · Paper page
  23. Knight, 2017, The microbiome and human biology, Annu. Rev. Genom. Hum. Genet., 18, 65, 10.1146/annurev-genom-083115-022438 · DOI · Paper page
  24. Koenig, 2011, Succession of microbial consortia in the developing infant gut microbiome, Proc. Natl. Acad. Sci. Unit. States Am., 108, 4578, 10.1073/pnas.1000081107 · DOI · Paper page
  25. Kozich, 2013, Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the miseq illumina sequencing platform, Appl. Environ. Microbiol., 79, 5112, 10.1128/AEM.01043-13 · DOI
  26. Lee, 2010, Bacteria from drinking water supply and their fate in gastrointestinal tracts of germ-free mice : a phylogenetic comparison study, Water Res., 44, 5050, 10.1016/j.watres.2010.07.027 · DOI
  27. Ley, 2008, Evolution of mammals and their gut microbes, Science, 320, 1647, 10.1126/science.1155725 · DOI · Paper page
  28. Lin, 2014, Diversity and dynamics of microbial communities at each step of treatment plant for potable water generation, Water Res., 52, 218, 10.1016/j.watres.2013.10.071 · DOI
  29. Lin, 2016, Can chlorination co-select antibiotic-resistance genes?, Chemosphere, 156, 412, 10.1016/j.chemosphere.2016.04.139 · DOI
  30. Loubet, 2016, Life cycle assessment of forecasting scenarios for urban water management: a first implementation of the WaLA model on Paris suburban area, Water Res., 90, 128, 10.1016/j.watres.2015.12.008 · DOI
  31. Love, 2014, Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2, Genome Biol., 15, 550, 10.1186/s13059-014-0550-8 · DOI · Paper page
  32. Loy, 2005, Diversity of bacteria growing in natural mineral water after bottling diversity of bacteria growing in natural mineral water after bottling, Appl. Environ. Microbiol., 71, 3624, 10.1128/AEM.71.7.3624-3632.2005 · DOI
  33. Lozupone, 2010, UniFrac : an effective distance metric for microbial community comparison, ISME J., 5, 169, 10.1038/ismej.2010.133 · DOI · Paper page
  34. McMurdie, 2013, phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data, PLoS One, 8, e61217, 10.1371/journal.pone.0061217 · DOI
  35. Pinto, 2012, Bacterial community structure in the drinking water microbiome is governed by filtration processes, Environ. Sci. Technol., 46, 8851, 10.1021/es302042t · DOI
  36. Poirel, 2008, Acinetobacter radioresistens as a silent source of carbapenem resistance for Acinetobacter spp, Antimicrob. Agents Chemother., 52, 1252, 10.1128/AAC.01304-07 · DOI
  37. Ran, 2013, Occurrence, genetic diversity, and persistence of enterococci in a lake superior watershed, Appl. Environ. Microbiol., 79, 3067, 10.1128/AEM.03908-12 · DOI
  38. Russell, 2014, Nature's microbiome: introduction, Mol. Ecol., 23, 1225, 10.1111/mec.12676 · DOI
  39. Savov, 2016, Isolation of Acinetobacter radioresistens from a clinical sample in Bulgaria, J. Groups Addict. Recovery, 4, 57
  40. Schloss, 2009, Introducing Mothur : open-source, platform-independent, community-supported software for describing and comparing microbial communities, Appl. Environ. Microbiol., 75, 7537, 10.1128/AEM.01541-09 · DOI · Paper page
  41. Shi, 2013, Metagenomic insights into chlorination effects on microbial antibiotic resistance in drinking water, Water Res., 47, 111, 10.1016/j.watres.2012.09.046 · DOI
  42. Shin, 2015, Proteobacteria: microbial signature of dysbiosis in gut microbiota, Trends Biotechnol., 33, 496, 10.1016/j.tibtech.2015.06.011 · DOI · Paper page
  43. Strauss, 2017, A Novel erm(44) gene variant from a human Staphylococcus saprophyticus isolate confers resistance to macrolides and lincosamides but not streptogramins, Antimicrob. Agents Chemother., 61, 1, 10.1128/AAC.01655-16 · DOI
  44. Vaz-Moreira, 2014, Bacterial diversity and antibiotic resistance in water habitats: searching the links with the human microbiome, FEMS Microbiol. Rev., 38, 761, 10.1111/1574-6976.12062 · DOI
  45. Vaz-Moreira, 2017, Ubiquitous and persistent Proteobacteria and other Gram-negative bacteria in drinking water, Sci. Total Environ., 586, 1141, 10.1016/j.scitotenv.2017.02.104 · DOI
  46. Waaij, 1971, Colonization resistance of the digestive tract in conventional and antibiotic-treated mice, J. Hyg., 69, 405
  47. Weigand, 2014, Genome sequencing reveals the environmental origin of enterococci and potential biomarkers for water quality monitoring, Environ. Sci. Technol., 48, 3707, 10.1021/es4054835 · DOI
  48. Wendlandt, 2015, Detection of the macrolide-lincosamide-streptogramin B resistance gene erm (44) and a novel erm (44) variant in staphylococci from aquatic environments, FEMS Microbiol. Ecol., 91, 10.1093/femsec/fiv090 · DOI
  49. Widerström, 2012, Coagulase-negative staphylococci: update on the molecular epidemiology and clinical presentation, with a focus on Staphylococcus epidermidis and Staphylococcus saprophyticus, Eur. J. Clin. Microbiol. Infect. Dis., 31, 7, 10.1007/s10096-011-1270-6 · DOI
  50. Wingender, 2011, Biofilms in drinking water and their role as reservoir for pathogens, Int. J. Hyg Environ. Health, 214, 417, 10.1016/j.ijheh.2011.05.009 · DOI
  51. Wong, 2017, Clinical and pathophysiological overview of acinetobacter infections: a century of challenges, Clin. Microbiol. Rev., 30, 409, 10.1128/CMR.00058-16 · DOI
  52. Xi, 2009, Prevalence of antibiotic resistance in drinking water treatment and distribution systems, Appl. Environ. Microbiol., 75, 5714, 10.1128/AEM.00382-09 · DOI
  53. Yatsunenko, 2012, Human gut microbiome viewed across age and geography, Nature, 486, 222, 10.1038/nature11053 · DOI · Paper page
  54. Zhang, 2016, Ecological robustness of the gut microbiota in response to ingestion of transient food-borne microbes, ISME J., 10, 2235, 10.1038/ismej.2016.13 · DOI · Paper page

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Metadata

Authors
Dias, M. F., Reis, M. P., Acurcio, L. B., Carmo, A. O., Diamantino, C. F., Motta, A. M., Kalapothakis, E., Nicoli, J. R., & Nascimento, A. M. A.
Venue
Water Research
Publisher
Elsevier BV
Published
2018-04
Volume
132
Pages
79-89
ISSN
0043-1354
DOI
10.1016/j.watres.2017.12.052
Cited by
43
References
3
Language
en
Licence
Funders
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (306774/2016-0)
  • Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
  • Fundação de Amparo à Pesquisa do Estado de Minas Gerais (APQ-01673-16)

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