Literature DB >> 29159245

Data on evolutionary relationships of Aeromonas hydrophila and Serratia proteamaculans that attach to water tanks.

Ogueri Nwaiwu1,2.   

Abstract

Here the data on evolutionary relationships of persistent bacteria from water tanks and their close relatives are shown. Curated sequences of the hypervariable region of ribosomal ribonucleic acid (rRNA) obtained from a strain of Aeromonas hydrophila and two strains of Serratia proteamaculans after searches in the GenBank® database were analyzed. The analysis which included 104 other bacteria strains, was carried out using molecular evolutionary genetic analysis (MEGA 7.0) software.

Entities:  

Keywords:  Bacteria attachment; Biofouling; Evolution; Phylogeny; Water tank

Year:  2017        PMID: 29159245      PMCID: PMC5684427          DOI: 10.1016/j.dib.2017.10.073

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the Data Data shows phylogeny of water tank bacteria and other species from several sources. Selection of strains for comparative whole-genome analysis can be facilitated by the data. Data is useful for further investigations of weak or strong biofilm producers during fouling of water tanks.

Data

The phylogeny data presented here have not been published in an initial study [1]. The 16S sequences from A. hydrophila (Fig. 1) and S. proteamaculans (Fig. 2) were compared with other isolates in order to gain more understanding of how they evolved. The clades formed after construction of phylogenetic trees show the evolutionary path of the sequences.
Fig. 1

The evolutionary history of A. hydrophila (Accession No. HG328351) was determined by using the maximum likelihood statistical method to compare with 50 other sequences from close relatives in MEGA7 software. Species of Listeria monocytogenes and three species of Pseudomonas were also investigated. The tree with the highest log likelihood was selected and the percentages of trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) are shown next to the branches. The tree was drawn to scale, with branch lengths measured in the number of substitutions per site. The analysis involved 55 nucleotide sequences. All positions containing gaps and missing data were eliminated.

Fig. 2

The evolutionary history of two strains of Serratia proteamaculans (HG328350 and HG3283502) was determined by using the maximum likelihood statistical method to compare with 50 other sequences from close relatives. The same outgroups and statistics shown in Fig. 1 were used. The analysis involved 56 nucleotide sequences.

The evolutionary history of A. hydrophila (Accession No. HG328351) was determined by using the maximum likelihood statistical method to compare with 50 other sequences from close relatives in MEGA7 software. Species of Listeria monocytogenes and three species of Pseudomonas were also investigated. The tree with the highest log likelihood was selected and the percentages of trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) are shown next to the branches. The tree was drawn to scale, with branch lengths measured in the number of substitutions per site. The analysis involved 55 nucleotide sequences. All positions containing gaps and missing data were eliminated. The evolutionary history of two strains of Serratia proteamaculans (HG328350 and HG3283502) was determined by using the maximum likelihood statistical method to compare with 50 other sequences from close relatives. The same outgroups and statistics shown in Fig. 1 were used. The analysis involved 56 nucleotide sequences.

Experimental design, materials and methods

Molecular evolutionary genetics analysis (MEGA)

Sequences deposited in the Genbank® under accession numbers HG328351 (A. hydrophila), HG328350 and HG328352 (S. proteamaculans) from previous work [1] were analyzed. Updated searches were carried out after which the top hits showing sequences from closely related culturable strains were selected for each genus and then subjected to phylogenetic analysis with MEGA software, version 7 [2]. After sequence alignment with ClustalW [3], the maximum likelihood statistical method based on the Tamura-Nei model [4] was used to generate phylogenetic trees. A total of 50 strains of closely related sequences from culturable strains were selected at random for each phylogenetic tree. Previously characterized 16S rRNA sequences that were used as outgroups included sequences from Listeria monocytogenes [5], Pseudomonas aeruginosa [6], Pseudomonas fluorescens [7] and a Pseudomonas species [8].
Subject areaMicrobiology
More specific subject areaMolecular phylogeny
Type of dataFigures
How data was acquiredSequence search (16 Svedberg units or 16S) on GenBank® data base
Data formatAnalyzed
Experimental factorsStatistical methods, bootstrap test
Experimental featuresEvolutionary genetic analysis of curated sequences.
Data source locationGenbank®.
Data accessibilitySequences used can be accessed in Genbank® using accession numbersHG328350-2. Sequences from 104 other isolates are available to the public via the accession numbers on the phylogenetic trees.
  6 in total

1.  MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

Authors:  Sudhir Kumar; Glen Stecher; Koichiro Tamura
Journal:  Mol Biol Evol       Date:  2016-03-22       Impact factor: 16.240

2.  Complete nucleotide sequence of a 16S ribosomal RNA gene from Pseudomonas aeruginosa.

Authors:  H Y Toschka; P Höpfl; W Ludwig; K H Schleifer; N Ulbrich; V A Erdmann
Journal:  Nucleic Acids Res       Date:  1988-03-25       Impact factor: 16.971

3.  CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.

Authors:  J D Thompson; D G Higgins; T J Gibson
Journal:  Nucleic Acids Res       Date:  1994-11-11       Impact factor: 16.971

4.  Improved resolution on the phylogenetic relationships among Pseudomonas by the combined analysis of atp D, car A, rec A and 16S rDNA.

Authors:  Elena Hilario; Thomas R Buckley; John M Young
Journal:  Antonie Van Leeuwenhoek       Date:  2004-07       Impact factor: 2.271

5.  Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees.

Authors:  K Tamura; M Nei
Journal:  Mol Biol Evol       Date:  1993-05       Impact factor: 16.240

6.  Degradation of polycyclic aromatic hydrocarbons at low temperature under aerobic and nitrate-reducing conditions in enrichment cultures from northern soils.

Authors:  Mikael Eriksson; Erik Sodersten; Zhongtang Yu; Gunnel Dalhammar; William W Mohn
Journal:  Appl Environ Microbiol       Date:  2003-01       Impact factor: 4.792

  6 in total
  2 in total

1.  Extended antibiotic treatment in salmon farms select multiresistant gut bacteria with a high prevalence of antibiotic resistance genes.

Authors:  Sebastián Higuera-Llantén; Felipe Vásquez-Ponce; Beatriz Barrientos-Espinoza; Fernando O Mardones; Sergio H Marshall; Jorge Olivares-Pacheco
Journal:  PLoS One       Date:  2018-09-11       Impact factor: 3.240

Review 2.  An in silico analysis of acquired antimicrobial resistance genes in Aeromonas plasmids.

Authors:  Ogueri Nwaiwu; Chiugo Claret Aduba
Journal:  AIMS Microbiol       Date:  2020-03-16
  2 in total

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