Single-Nucleotide Polymorphism-Based Genetic Diversity Analysis of Clinical Pseudomonas aeruginosa Isolates

被引:8
作者
Muthukumarasamy, Uthayakumar [1 ,2 ]
Preusse, Matthias [1 ,2 ]
Kordes, Adrian [1 ,2 ]
Koska, Michal [1 ,2 ]
Schniederjans, Monika [1 ,2 ]
Khaledi, Ariane [1 ,2 ]
Haeussler, Susanne [1 ,2 ]
机构
[1] Helmholtz Ctr Infect Res, Dept Mol Bacteriol, Braunschweig, Germany
[2] TWINCORE GmbH, Inst Mol Bacteriol, Ctr Clin & Expt Infect Res, Hannover, Germany
来源
GENOME BIOLOGY AND EVOLUTION | 2020年 / 12卷 / 04期
基金
欧洲研究理事会;
关键词
pan-genome; core genome; SNPs; convergent and divergent evolution; ADAPTATION; VIRULENCE; DYNAMICS; CONSERVATION; EVOLUTION; CLONES;
D O I
10.1093/gbe/evaa059
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Extensive use of next-generation sequencing has the potential to transform our knowledge on how genomic variation within bacterial species impacts phenotypic versatility. Because different environments have unique selection pressures, they drive divergent evolution. However, there is also parallel or convergent evolution of traits in independent bacterial isolates inhabiting similar environments. The application of tools to describe population-wide genomic diversity provides an opportunity to measure the predictability of genetic changes underlying adaptation. Here, we describe patterns of sequence variations in the core genome among 99 individual Pseudomonas aeruginosa clinical isolates and identified single-nucleotide polymorphisms that are the basis for branching of the phylogenetic tree. We also identified single-nucleotide polymorphisms that were acquired independently, inseparate lineages, and not through inheritance from a common ancestor. Although our results demonstrate that the Pseudomonas aeruginosa core genome is highly conserved and in general, not subject to adaptive evolution, instances of parallel evolution will provide an opportunity to uncover genetic changes that underlie phenotypic diversity.
引用
收藏
页码:396 / 406
页数:11
相关论文
共 53 条
  • [1] Karect: accurate correction of substitution, insertion and deletion errors for next-generation sequencing data
    Allam, Amin
    Kalnis, Panos
    Solovyev, Victor
    [J]. BIOINFORMATICS, 2015, 31 (21) : 3421 - 3428
  • [2] ALTSCHUL SF, 1990, J MOL BIOL, V215, P403, DOI 10.1006/jmbi.1990.9999
  • [3] Aronesty E., 2013, The Open Bioinformatics Journal, V7, DOI [10.2174/1875036201307010001, DOI 10.2174/1875036201307010001]
  • [4] Benson DA, 2013, NUCLEIC ACIDS RES, V41, pD36, DOI [10.1093/nar/gkp1024, 10.1093/nar/gkn723, 10.1093/nar/gks1195, 10.1093/nar/gkw1070, 10.1093/nar/gkl986, 10.1093/nar/gkg057, 10.1093/nar/gkr1202, 10.1093/nar/gkx1094, 10.1093/nar/gkq1079]
  • [5] Scaffolding pre-assembled contigs using SSPACE
    Boetzer, Marten
    Henkel, Christiaan V.
    Jansen, Hans J.
    Butler, Derek
    Pirovano, Walter
    [J]. BIOINFORMATICS, 2011, 27 (04) : 578 - 579
  • [6] Pseudomonas aeruginosa Microevolution during Cystic Fibrosis Lung Infection Establishes Clones with Adapted Virulence
    Bragonzi, Alessandra
    Paroni, Moira
    Nonis, Alessandro
    Cramer, Nina
    Montanari, Sara
    Rejman, Joanna
    Di Serio, Clelia
    Doering, Gerd
    Tuemmler, Burkhard
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2009, 180 (02) : 138 - 145
  • [7] A5-miseq: an updated pipeline to assemble microbial genomes from Illumina MiSeq data
    Coil, David
    Jospin, Guillaume
    Darling, Aaron E.
    [J]. BIOINFORMATICS, 2015, 31 (04) : 587 - 589
  • [8] Microevolution of the major common Pseudomonas aeruginosa clones C and PA14 in cystic fibrosis lungs
    Cramer, Nina
    Klockgether, Jens
    Wrasman, Kristie
    Schmidt, Mario
    Davenport, Colin F.
    Tuemmler, Burkhard
    [J]. ENVIRONMENTAL MICROBIOLOGY, 2011, 13 (07) : 1690 - 1704
  • [9] Development of a multilocus sequence typing scheme for the opportunistic pathogen Pseudomonas aeruginosa
    Curran, B
    Jonas, D
    Grundmann, H
    Pitt, T
    Dowson, CG
    [J]. JOURNAL OF CLINICAL MICROBIOLOGY, 2004, 42 (12) : 5644 - 5649
  • [10] The Pseudomonas aeruginosa Transcriptional Landscape Is Shaped by Environmental Heterogeneity and Genetic Variation
    Doetsch, Andreas
    Schniederjans, Monika
    Khaledi, Ariane
    Hornischer, Klaus
    Schulz, Sebastian
    Bielecka, Agata
    Eckweiler, Denitsa
    Pohl, Sarah
    Haeussler, Susanne
    [J]. MBIO, 2015, 6 (04):