30
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Long-Term Evolution of Burkholderia multivorans during a Chronic Cystic Fibrosis Infection Reveals Shifting Forces of Selection

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Bacteria may become genetically and phenotypically diverse during long-term colonization of cystic fibrosis (CF) patient lungs, yet our understanding of within-host evolutionary processes during these infections is lacking. Here we combined current genome sequencing technologies and detailed phenotypic profiling of the opportunistic pathogen Burkholderia multivorans using sequential isolates sampled from a CF patient over 20 years. The evolutionary history of these isolates highlighted bacterial genes and pathways that were likely subject to strong selection within the host and were associated with altered phenotypes, such as biofilm production, motility, and antimicrobial resistance. Importantly, multiple lineages coexisted for years or even decades within the infection, and the period of diversification within the dominant lineage was associated with deterioration of the patient’s lung function. Identifying traits under strong selection during chronic infection not only sheds new light onto Burkholderia evolution but also sets the stage for tailored therapeutics targeting the prevailing lineages associated with disease progression.

          ABSTRACT

          Burkholderia multivorans is an opportunistic pathogen capable of causing severe disease in patients with cystic fibrosis (CF). Patients may be chronically infected for years, during which the bacterial population evolves in response to unknown forces. Here we analyze the genomic and functional evolution of a B. multivorans infection that was sequentially sampled from a CF patient over 20 years. The population diversified into at least four primary, coexisting clades with distinct evolutionary dynamics. The average substitution rate was only 2.4 mutations/year, but notably, some lineages evolved more slowly, whereas one diversified more rapidly by mostly nonsynonymous mutations. Ten loci, mostly involved in gene expression regulation and lipid metabolism, acquired three or more independent mutations and define likely targets of selection. Further, a broad range of phenotypes changed in association with the evolved mutations; they included antimicrobial resistance, biofilm regulation, and the presentation of lipopolysaccharide O-antigen repeats, which was directly caused by evolved mutations. Additionally, early isolates acquired mutations in genes involved in cyclic di-GMP (c-di-GMP) metabolism that associated with increased c-di-GMP intracellular levels. Accordingly, these isolates showed lower motility and increased biofilm formation and adhesion to CFBE41o epithelial cells than the initial isolate, and each of these phenotypes is an important trait for bacterial persistence. The timing of the emergence of this clade of more adherent genotypes correlated with the period of greatest decline in the patient’s lung function. All together, our observations suggest that selection on B. multivorans populations during long-term colonization of CF patient lungs either directly or indirectly targets adherence, metabolism, and changes in the cell envelope related to adaptation to the biofilm lifestyle.

          IMPORTANCE Bacteria may become genetically and phenotypically diverse during long-term colonization of cystic fibrosis (CF) patient lungs, yet our understanding of within-host evolutionary processes during these infections is lacking. Here we combined current genome sequencing technologies and detailed phenotypic profiling of the opportunistic pathogen Burkholderia multivorans using sequential isolates sampled from a CF patient over 20 years. The evolutionary history of these isolates highlighted bacterial genes and pathways that were likely subject to strong selection within the host and were associated with altered phenotypes, such as biofilm production, motility, and antimicrobial resistance. Importantly, multiple lineages coexisted for years or even decades within the infection, and the period of diversification within the dominant lineage was associated with deterioration of the patient’s lung function. Identifying traits under strong selection during chronic infection not only sheds new light onto Burkholderia evolution but also sets the stage for tailored therapeutics targeting the prevailing lineages associated with disease progression.

          Related collections

          Most cited references83

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

              The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                mSystems
                mSystems
                msys
                msys
                mSystems
                mSystems
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2379-5077
                24 May 2016
                May-Jun 2016
                : 1
                : 3
                : e00029-16
                Affiliations
                [a ]Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
                [b ]Centre of Molecular and Environmental Biology, Department of Biology, Universidade do Minho, Braga, Portugal
                [c ]Department of Pediatrics, Faculty of Medicine, Centre for Understanding and Preventing Infection in Children, University of British Columbia, Vancouver, Canada
                [d ]Department of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, New Hampshire, USA
                [e ]Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, USA
                [f ]Department of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
                [g ]Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
                UC Davis Genome Center
                Author notes
                Address correspondence to Leonilde M. Moreira, lmoreira@ 123456tecnico.ulisboa.pt , or Vaughn S. Cooper, vaughn.cooper@ 123456pitt.edu .

                Citation Silva IN, Santos PM, Santos MR, Zlosnik JEA, Speert DP, Buskirk SW, Bruger EL, Waters CM, Cooper VS, Moreira LM. 2016. Long-term evolution of Burkholderia multivorans during a chronic cystic fibrosis infection reveals shifting forces of selection. mSystems 1(3):e00029-16. doi: 10.1128/mSystems.00029-16.

                Author information
                http://orcid.org/0000-0003-3234-4265
                http://orcid.org/0000-0001-7726-0765
                http://orcid.org/0000-0002-6838-4245
                Article
                mSystems00029-16
                10.1128/mSystems.00029-16
                5069766
                27822534
                328d4bd1-576b-49b7-aaa2-3464b04b9ea0
                Copyright © 2016 Silva et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 9 March 2016
                : 25 April 2016
                Page count
                Figures: 8, Tables: 1, Equations: 0, References: 83, Pages: 21, Words: 14076
                Funding
                Funded by: Programa Operacional Regional de Lisboa 2020
                Award ID: LISBOA-01-0145-FEDER- 007317
                Award Recipient : Leonilde M. Moreira Award Recipient : Inês N. Silva
                Funded by: HHS | National Institutes of Health (NIH) http://dx.doi.org/10.13039/100000002
                Award ID: GM109259
                Award ID: R01-GM110444
                Award Recipient : Christopher M. Waters Award Recipient : Vaughn S. Cooper
                Funded by: National Science Foundation (NSF) http://dx.doi.org/10.13039/100000001
                Award ID: DBI-0939454
                Award Recipient : Christopher M. Waters
                Funded by: Cystic Fibrosis Canada (Fibrose kystique Canada) http://dx.doi.org/10.13039/501100000082
                Award ID: 20R40868
                Award ID: 20R32976
                Award Recipient : James E.A. Zlosnik Award Recipient : David P. Speert
                Funded by: Ministry of Education and Science | Fundação para a Ciência e a Tecnologia (FCT) http://dx.doi.org/10.13039/501100001871
                Award ID: PTDC/QUI-BIQ/118260/2010
                Award ID: UID/BIO/04565/2013
                Award ID: SFRH/BPD/86475/2012
                Award Recipient : Leonilde M. Moreira Award Recipient : Inês N. Silva
                The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Ecological and Evolutionary Science
                Editor's Pick
                Custom metadata
                May/June 2016

                burkholderia multivorans,biofilm,c-di-gmp signaling,chronic infection,cystic fibrosis,evolution,lung function decline,respiratory infection,within-host adaptation

                Comments

                Comment on this article