Literature DB >> 27989998

Phylogenetic analysis reveals the taxonomically diverse distribution of the Pseudomonas putida group.

Kenta Yonezuka1, Jun Shimodaira, Michiro Tabata, Shoko Ohji, Akira Hosoyama, Daisuke Kasai, Atsushi Yamazoe, Nobuyuki Fujita, Takayuki Ezaki, Masao Fukuda.   

Abstract

Pseudomonas putida is well-known for degradation activities for a variety of compounds and its infections have been reported. Thus, P. putida includes both clinical and nonclinical isolates. To date, no reports have examined the phylogenetic relationship between clinical and nonclinical isolates of the P. putida group. In this study, fifty-nine strains of P. putida group containing twenty-six clinical, and thirty-three nonclinical, isolates, were subjected to phylogenetic and taxonomic analyses based on 16S rRNA gene sequences and nine housekeeping gene sequences, including argS, dnaN, dnaQ, era, gltA, gyrB, ppnK, rpoB, and rpoD, to obtain insights into the diversity of species in this group. More than 97.6% similarity was observed among the 16S rRNA gene sequences of all the strains examined, indicating that the resolution of 16S rRNA gene sequences is inadequate. Phylogenetic analysis based on the individual housekeeping genes listed above improved the resolution of the phylogenetic trees, which are different from each other. Multilocus sequence analysis (MLSA) based on the concatenated sequences of the nine genes significantly improved the resolution of the phylogenetic tree, and yielded approximately the same results as average nucleotide identity (ANI) analysis, suggesting its high reliability. ANI analysis classified the fifty-nine strains into twenty-six species containing seventeen singletons and nine strain clusters based on the 95% threshold. It also indicated the mixed distribution of clinical and nonclinical isolates in the six clusters, suggesting that the genomic difference between clinical and nonclinical isolates of the P. putida group is subtle. The P. putida type strain NBRC 14164T is a singleton that is independently located from the P. putida strains distributed among the six clusters, suggesting that the classification of these strains and the differentiation of species in the P. putida group should be re-examined. This study greatly expands insights into the phylogenetic diversity of the P. putida group.

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Year:  2016        PMID: 27989998     DOI: 10.2323/jgam.2016.06.003

Source DB:  PubMed          Journal:  J Gen Appl Microbiol        ISSN: 0022-1260            Impact factor:   1.452


  7 in total

1.  Whole-Genome Sequencing-Based Re-Identification of Pseudomonas putida/fluorescens Clinical Isolates Identified by Biochemical Bacterial Identification Systems.

Authors:  Mari Tohya; Kanae Teramoto; Shin Watanabe; Tomomi Hishinuma; Masahito Shimojima; Miho Ogawa; Tatsuya Tada; Yoko Tabe; Teruo Kirikae
Journal:  Microbiol Spectr       Date:  2022-04-07

2.  Genomic characterisation of clinical and environmental Pseudomonas putida group strains and determination of their role in the transfer of antimicrobial resistance genes to Pseudomonas aeruginosa.

Authors:  Silke Peter; Philipp Oberhettinger; Leonard Schuele; Ariane Dinkelacker; Wichard Vogel; Daniela Dörfel; Daniela Bezdan; Stephan Ossowski; Matthias Marschal; Jan Liese; Matthias Willmann
Journal:  BMC Genomics       Date:  2017-11-10       Impact factor: 3.969

3.  Genome Sequence Analysis of Two Pseudomonas putida Strains to Identify a 17-Hydroxylase Putatively Involved in Sparteine Degradation.

Authors:  Andrew P Detheridge; Gareth W Griffith; David J Hopper
Journal:  Curr Microbiol       Date:  2018-09-28       Impact factor: 2.188

4.  A multilocus sequence typing scheme of Pseudomonas putida for clinical and environmental isolates.

Authors:  Kohei Ogura; Kayo Shimada; Tohru Miyoshi-Akiyama
Journal:  Sci Rep       Date:  2019-09-27       Impact factor: 4.379

5.  Hitting with a BAM: Selective Killing by Lectin-Like Bacteriocins.

Authors:  Maarten G K Ghequire; Toon Swings; Jan Michiels; Susan K Buchanan; René De Mot
Journal:  mBio       Date:  2018-03-20       Impact factor: 7.867

6.  Genomic and metabolic differences between Pseudomonas putida populations inhabiting sugarcane rhizosphere or bulk soil.

Authors:  Lucas Dantas Lopes; Alexandra J Weisberg; Edward W Davis; Camila de S Varize; Michele de C Pereira E Silva; Jeff H Chang; Joyce E Loper; Fernando D Andreote
Journal:  PLoS One       Date:  2019-10-03       Impact factor: 3.240

7.  Genome-based classification of Acidihalobacter prosperus F5 (=DSM 105917=JCM 32255) as Acidihalobacter yilgarnensis sp. nov.

Authors:  Himel Nahreen Khaleque; Carolina González; D Barrie Johnson; Anna H Kaksonen; David S Holmes; Elizabeth L J Watkin
Journal:  Int J Syst Evol Microbiol       Date:  2020-12       Impact factor: 2.747

  7 in total

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