Airway microbiota and pathogen abundance in age-stratified cystic fibrosis patients

Michael J Cox, Martin Allgaier, Byron Taylor, Marshall S Baek, Yvonne J Huang, Rebecca A Daly, Ulas Karaoz, Gary L Andersen, Ronald Brown, Kei E Fujimura, Brian Wu, Diem Tran, Jonathan Koff, Mary Ellen Kleinhenz, Dennis Nielson, Eoin L Brodie, Susan V Lynch, Michael J Cox, Martin Allgaier, Byron Taylor, Marshall S Baek, Yvonne J Huang, Rebecca A Daly, Ulas Karaoz, Gary L Andersen, Ronald Brown, Kei E Fujimura, Brian Wu, Diem Tran, Jonathan Koff, Mary Ellen Kleinhenz, Dennis Nielson, Eoin L Brodie, Susan V Lynch

Abstract

Bacterial communities in the airways of cystic fibrosis (CF) patients are, as in other ecological niches, influenced by autogenic and allogenic factors. However, our understanding of microbial colonization in younger versus older CF airways and the association with pulmonary function is rudimentary at best. Using a phylogenetic microarray, we examine the airway microbiota in age stratified CF patients ranging from neonates (9 months) to adults (72 years). From a cohort of clinically stable patients, we demonstrate that older CF patients who exhibit poorer pulmonary function possess more uneven, phylogenetically-clustered airway communities, compared to younger patients. Using longitudinal samples collected form a subset of these patients a pattern of initial bacterial community diversification was observed in younger patients compared with a progressive loss of diversity over time in older patients. We describe in detail the distinct bacterial community profiles associated with young and old CF patients with a particular focus on the differences between respective "early" and "late" colonizing organisms. Finally we assess the influence of Cystic Fibrosis Transmembrane Regulator (CFTR) mutation on bacterial abundance and identify genotype-specific communities involving members of the Pseudomonadaceae, Xanthomonadaceae, Moraxellaceae and Enterobacteriaceae amongst others. Data presented here provides insights into the CF airway microbiota, including initial diversification events in younger patients and establishment of specialized communities of pathogens associated with poor pulmonary function in older patient populations.

Conflict of interest statement

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

Figures

Figure 1. Patient age is related to…
Figure 1. Patient age is related to pulmonary function and aspects of community relatedness.
Boxplots with age bins containing three or more samples are displayed; Relationships between patient age and (A) pulmonary function (B) Net Relatedness Index and (C) Nearest Taxon Index are illustrated. As pulmonary function declines, increasing phylogenetic relatedness at both the deeper levels and terminal branches of the phylogenetic tree respectively is evident.
Figure 2. Phylogenetic tree displaying relationship between…
Figure 2. Phylogenetic tree displaying relationship between patient age and taxon abundance.
Taxa exhibiting a significant increase (red) or decrease (blue) in relative abundance with increasing CF patient age are illustrated. Scale bar indicates 0.01 nucleotide substitutions per base.
Figure 3. Bacterial community structure and composition…
Figure 3. Bacterial community structure and composition associated with CF patient age.
Compared to pediatric communities, adult CF patient airway communities exhibit lower bacterial diversity and are more uneven. Increased diversity in younger airways is correlated with a large number of known pathogenic families. Loss of diversity in older airways is strongly correlated with loss of pulmonary function and emergence of competitively dominant species such as members of the Pseudomonadacece, Burkholderiaceae and Xanthomonadaceae. For simplicity, the initial increase in diversity exhibited by younger CF patients is not illustrated.

References

    1. Amadori A, Antonelli A, Balteri I, Schreiber A, Bugiani M, et al. Recurrent exacerbations affect FEV(1) decline in adult patients with cystic fibrosis. Respir Med. 2009;103:407–413.
    1. Lupp C, Robertson ML, Wickham ME, Sekirov I, Champion OL, et al. Host-mediated inflammation disrupts the intestinal microbiota and promotes the overgrowth of Enterobacteriaceae. Cell Host Microbe. 2007;2:204.
    1. Sekirov I, Tam NM, Jogova M, Robertson ML, Li Y, et al. Antibiotic-induced perturbations of the intestinal microbiota alter host susceptibility to enteric infection. Infect Immun. 2008;76:4726–4736.
    1. Ley RE, Turnbaugh PJ, Klein S, Gordon JI. Microbial ecology: human gut microbes associated with obesity. Nature. 2006;444:1022–1023.
    1. Martinez-Medina M, Aldeguer X, Gonzalez-Huix F, Acero D, Garcia-Gil LJ. Abnormal microbiota composition in the ileocolonic mucosa of Crohn's disease patients as revealed by polymerase chain reaction-denaturing gradient gel electrophoresis. Inflamm Bowel Dis. 2006;12:1136–1145.
    1. Kumar PS, Griffen AL, Barton JA, Paster BJ, Moeschberger ML, et al. New bacterial species associated with chronic periodontitis. J Dent Res. 2003;82:338–344.
    1. Kumar PS, Leys EJ, Bryk JM, Martinez FJ, Moeschberger ML, et al. Changes in periodontal health status are associated with bacterial community shifts as assessed by quantitative 16S cloning and sequencing. J Clin Microbiol. 2006;44:3665–3673.
    1. Sibley CD, Parkins MD, Rabin HR, Duan K, Norgaard JC, et al. A polymicrobial perspective of pulmonary infections exposes an enigmatic pathogen in cystic fibrosis patients. Proc Natl Acad Sci U S A. 2008;105:15070–15075.
    1. Gill SR, Pop M, Deboy RT, Eckburg PB, Turnbaugh PJ, et al. Metagenomic analysis of the human distal gut microbiome. Science. 2006;312:1355–1359.
    1. Harris JK, De Groote MA, Sagel SD, Zemanick ET, Kapsner R, et al. Molecular identification of bacteria in bronchoalveolar lavage fluid from children with cystic fibrosis. Proc Natl Acad Sci U S A. 2007;104:20529–20533.
    1. Rogers GB, Carroll MP, Serisier DJ, Hockey PM, Jones G, et al. characterization of bacterial community diversity in cystic fibrosis lung infections by use of 16s ribosomal DNA terminal restriction fragment length polymorphism profiling. J Clin Microbiol. 2004;42:5176–5183.
    1. Rogers GB, Hart CA, Mason JR, Hughes M, Walshaw MJ, et al. Bacterial diversity in cases of lung infection in cystic fibrosis patients: 16S ribosomal DNA (rDNA) length heterogeneity PCR and 16S rDNA terminal restriction fragment length polymorphism profiling. J Clin Microbiol. 2003;41:3548–3558.
    1. Rogers GB, Carroll MP, Serisier DJ, Hockey PM, Kehagia V, et al. Bacterial activity in cystic fibrosis lung infections. Respir Res. 2005;6:49.
    1. Rogers GB, Carroll MP, Serisier DJ, Hockey PM, Jones G, et al. Use of 16S rRNA gene profiling by terminal restriction fragment length polymorphism analysis to compare bacterial communities in sputum and mouthwash samples from patients with cystic fibrosis. J Clin Microbiol. 2006;44:2601–2604.
    1. Bittar F, Richet H, Dubus J-C, Reynaud-Gaubert M, Stremler N, et al. Molecular Detection of Multiple Emerging Pathogens in Sputa from Cystic Fibrosis Patients. PLoS ONE. 2008;3:e2908.
    1. Kolak M, Karpati F, Monstein HJ, Jonasson J. Molecular typing of the bacterial flora in sputum of cystic fibrosis patients. Int J Med Microbiol. 2003;293:309–317.
    1. Brodie EL, DeSantis TZ, Joyner DC, Baek SM, Larsen JT, et al. Application of a High-Density Oligonucleotide Microarray Approach To Study Bacterial Population Dynamics during Uranium Reduction and Reoxidation. Appl Environ Microbiol. 2006;72:6288–6298.
    1. Brodie EL, DeSantis TZ, Parker JP, Zubietta IX, Piceno YM, et al. Urban aerosols harbor diverse and dynamic bacterial populations. Proc Natl Acad Sci U S A. 2007;104:299–304.
    1. DeSantis TZ, Brodie EL, Moberg JP, Zubieta IX, Piceno YM, et al. High-density universal 16S rRNA microarray analysis reveals broader diversity than typical clone library when sampling the environment. Microb Ecol. 2007;53:371–383.
    1. Lane DJ. 16S/23S rRNA sequencing. In: Stachebrandt E, Goodfellow M, editors. Nucleic acid techniques in bacterial systematics. Chichester, NY: Wiley; 1991.
    1. Flanagan JL, Brodie EL, Weng L, Lynch SV, Garcia O, et al. Loss of Bacterial Diversity during Antibiotic Treatment of Intubated Patients Colonized with Pseudomonas aeruginosa. J Clin Microbiol. 2007;45:1954–1962.
    1. DeSantis TZ, Hugenholtz P, Larsen N, Rojas M, Brodie EL, et al. Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB. Appl Environ Microbiol. 2006;72:5069–5072.
    1. Team RDC. Vienna: R Foundation for Statistical Computing; 2008. R: A language and environment for statistical computing.
    1. Hamady M, Lozupone C, Knight R. ISME Journal (In review); 2009. Fast UniFrac: Facilitating high-throughput phylogenetic analyses of microbial communities including analysis of pyrosequencing and PhyloChip data.
    1. Ludwig W, Strunk O, Westram R, Richter L, Meier H, et al. ARB: a software environment for sequence data. Nucleic Acids Research. 2004;32:1363–1371.
    1. Oksanen J, Kindt R, Legendre P, O'Hara B, Simpson GL, et al. vegan: Community Ecology Package. R package version. 2008;1:16–1.
    1. Webb CO, Ackerly DD, McPeek MA, Donoghue MJ. Phylogenies and community ecology. Annual Review of Ecology and Systematics. 2002;33:475–505.
    1. Webb CO, Losos JB, Agrawal AA. Integrating phylogenies into community ecology. Ecology. 2006;87:S1–S2.
    1. Kembel S, Ackerly D, Blomberg S, Cowan P, Helmus M, et al. picante: Tools for Integrating Phylogenies and Ecology. R package version. 2008;0:4–0.
    1. Price MN, Dehal PS, Arkin AP. FastTree: computing large minimum evolution trees with profiles instead of a distance matrix. Mol Biol Evol. 2009;26:1641–1650.
    1. Hill MO. Diversity and evenness: a unifying notation and its consequences. Ecology. 1973;54:427–432.
    1. Pielou EC. Measurement of Diversity in Different Types of Biological Collections. Journal of Theoretical Biology. 1966;13:131–&.
    1. Pollard KS, Ge Y, Taylor S, Dudoit S. multtest: Resampling-based multiple hypothesis testing. R package version 1.20.0.
    1. Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 2004;5:R80.
    1. Benjamini Y, Drai D, Elmer G, Kafkafi N, Golani I. Controlling the false discovery rate in behavior genetics research. Behavioural Brain Research. 2001;125:279–284.
    1. Storey JD, Tibshirani R. Statistical significance for genomewide studies. Proc Natl Acad Sci U S A. 2003;100:9440–9445.
    1. Letunic I, Bork P. Interactive Tree Of Life (iTOL): an online tool for phylogenetic tree display and annotation. Bioinformatics. 2007;23:127–128.
    1. Huber T, Faulkner G, Hugenholtz P. Bellerophon: a program to detect chimeric sequences in multiple sequence alignments. Bioinformatics. 2004;20:2317–2319.
    1. Webb CO, Ackerly DD, Kembel SW. Phylocom: software for the analysis of phylogenetic community structure and trait evolution. Bioinformatics. 2008;24:2098–2100.
    1. Razvi S, Quittell L, Sewall A, Quinton H, Marshall B, et al. Respiratory Microbiology of Patients With Cystic Fibrosis in the United States. Chest. 2009. pp. 1995–2005.
    1. Souza HA, Nogueira KS, Matos AP, Vieira RP, Riedi CA, et al. Early microbial colonization of cystic fibrosis patients identified by neonatal screening, with emphasis on Staphylococcus aureus. J Pediatr (Rio J) 2006;82:377–382.
    1. Hoiby N. Hemophilus influenzae, Staphylococcus aureus, Pseudomonas cepacia, and Pseudomonas aeruginosa in patients with cystic fibrosis. Chest. 1988;94:97S–103S.
    1. Saiman L. Microbiology of early CF lung disease. Paediatr Respir Rev. 2004;5(Suppl A):S367–369.
    1. Hogardt M, Schreff AM, Naumann L, Reischl U, Sing A. Mycobacterium monacense in a patient with a pulmonary tumor. Jpn J Infect Dis. 2008;61:77–78.
    1. Hahn DL, Azenabor AA, Beatty WL, Byrne GI. Chlamydia pneumoniae as a respiratory pathogen. Front Biosci. 2002;7:e66–76.
    1. Jahn HU, Krull M, Wuppermann FN, Klucken AC, Rosseau S, et al. Infection and activation of airway epithelial cells by Chlamydia pneumoniae. J Infect Dis. 2000;182:1678–1687.
    1. Atkinson TP, Balish MF, Waites KB. Epidemiology, clinical manifestations, pathogenesis and laboratory detection of Mycoplasma pneumoniae infections. FEMS Microbiol Rev. 2008;32:956–973.
    1. Roberts RC, Nelles LP, Treuhaft MW, Marx JJ., Jr Isolation and possible relevance of Thermoactinomyces candidus proteinases in farmer's lung disease. Infect Immun. 1983;40:553–562.
    1. Shen YE, Kurup VP, Fink JN. Circulating antibodies against thermophilic actinomycetes in farmers and mushroom workers. J Hyg Epidemiol Microbiol Immunol. 1991;35:309–316.
    1. Bittar F, Richet H, Dubus JC, Reynaud-Gaubert M, Stremler N, et al. Molecular detection of multiple emerging pathogens in sputa from cystic fibrosis patients. PLoS One. 2008;3:e2908.
    1. Tunney MM, Field TR, Moriarty TF, Patrick S, Doering G, et al. Detection of anaerobic bacteria in high numbers in sputum from patients with cystic fibrosis. Am J Respir Crit Care Med. 2008;177:995–1001.
    1. Coenye T, Goris J, Spilker T, Vandamme P, LiPuma JJ. Characterization of Unusual Bacteria Isolated from Respiratory Secretions of Cystic Fibrosis Patients and Description of Inquilinus limosus gen. nov., sp. nov. Journal of Clinical Microbiology. 2002;40:2062–2069.
    1. Armougom F, Bittar F, Stremler N, Rolain JM, Robert C, et al. Microbial diversity in the sputum of a cystic fibrosis patient studied with 16S rDNA pyrosequencing. Eur J Clin Microbiol Infect Dis. 2009;28:1151–1154.
    1. Qin J, Li R, Raes J, Arumugam M, Burgdorf KS, et al. A human gut microbial gene catalogue established by metagenomic sequencing. Nature. 464:59–65.
    1. Wardle DA, Hornberg G, Zackrisson O, Kalela-Brundin M, Coomes DA. Long-term effects of wildfire on ecosystem properties across an island area gradient. Science. 2003;300:972–975.
    1. Tilman D, Reich PB, Knops J, Wedin D, Mielke T, et al. Diversity and productivity in a long-term grassland experiment. Science. 2001;294:843–845.
    1. van der Heijden MG, Bardgett RD, van Straalen NM. The unseen majority: soil microbes as drivers of plant diversity and productivity in terrestrial ecosystems. Ecol Lett. 2008;11:296–310.
    1. Connell JH, Slatyer RO. Mechanisms of succession in natural communities and their role in community stability and organization. The American Naturalist. 1977;111:1119–1144.
    1. Palmer C, Bik EM, DiGiulio DB, Relman DA, Brown PO. Development of the human infant intestinal microbiota. PLoS Biol. 2007;5:e177.
    1. Jackson CR. Changes in community properties during microbial succession. OIKOS. 2003;101:444–448.
    1. Marcante S, Winkler E, Erschbamer B. Population dynamics along a primary succession gradient: do alpine species fit into demographic succession theory? Ann Bot (Lond) 2009;103:1129–1143.
    1. Zhang GS, Wang RQ, Song BM. J Zhejiang Univ Sci B. Vol. 8. China: 2007. Plant community succession in modern Yellow River Delta; pp. 540–548.
    1. Antonopoulos DA, Huse SM, Morrison HG, Schmidt TM, Sogin ML, et al. Reproducible community dynamics of the gastrointestinal microbiota following antibiotic perturbation. Infect Immun. 2009;77:2367–2375.
    1. Bowman CM. The long-term use of inhaled tobramycin in patients with cystic fibrosis. J Cyst Fibros. 2002;1:194–198.
    1. Stecher B, Chaffron S, Kappeli R, Hapfelmeier S, Freedrich S, et al. Like will to like: abundances of closely related species can predict susceptibility to intestinal colonization by pathogenic and commensal bacteria. PLoS Pathog. 6:e1000711.
    1. McKenna P, Hoffmann C, Minkah N, Aye PP, Lackner A, et al. The macaque gut microbiome in health, lentiviral infection, and chronic enterocolitis. PLoS Pathog. 2008;4:e20.
    1. Lawley TD, Bouley DM, Hoy YE, Gerke C, Relman DA, et al. Host transmission of Salmonella enterica serovar Typhimurium is controlled by virulence factors and indigenous intestinal microbiota. Infect Immun. 2008;76:403–416.
    1. Flanagan JL, Brodie EL, Weng L, Lynch SV, Garcia O, et al. Loss of bacterial diversity during antibiotic treatment of intubated patients colonized with Pseudomonas aeruginosa. J Clin Microbiol. 2007;45:1954–1962.
    1. Lawley TD, Clare S, Walker AW, Goulding D, Stabler RA, et al. Antibiotic treatment of Clostridium difficile carrier mice triggers a supershedder state, spore-mediated transmission, and severe disease in immunocompromised hosts. Infect Immun 2009
    1. Song Y, Salinas D, Nielson DW, Verkman AS. Hyperacidity of secreted fluid from submucosal glands in early cystic fibrosis. Am J Physiol Cell Physiol. 2006;290:C741–749.
    1. Widdicombe JH. Altered NaCl concentration of airway surface liquid in cystic fibrosis. Pflugers Arch. 2001;443(Suppl 1):S8–10.
    1. Zabner J, Smith JJ, Karp PH, Widdicombe JH, Welsh MJ. Loss of CFTR chloride channels alters salt absorption by cystic fibrosis airway epithelia in vitro. Mol Cell. 1998;2:397–403.
    1. Murphy TF, Parameswaran GI. Moraxella catarrhalis, a human respiratory tract pathogen. Clin Infect Dis. 2009;49:124–131.
    1. Meyer EH, Goya S, Akbari O, Berry GJ, Savage PB, et al. Glycolipid activation of invariant T cell receptor+ NK T cells is sufficient to induce airway hyperreactivity independent of conventional CD4+ T cells. Proc Natl Acad Sci U S A. 2006;103:2782–2787.
    1. Kerem B, Kerem E. The molecular basis for disease variability in cystic fibrosis. Eur J Hum Genet. 1996;4:65–73.
    1. Bruzzese E, Raia V, Spagnuolo MI, Volpicelli M, De Marco G, et al. Effect of Lactobacillus GG supplementation on pulmonary exacerbations in patients with cystic fibrosis: a pilot study. Clin Nutr. 2007;26:322–328.

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