Evidence map›Paper›PMID 27493643›Full record

ArticleFrontiers in microbiology2016

Phylogenomic Analyses and Reclassification of Species within the Genus Tsukamurella: Insights to Species Definition in the Post-genomic Era.

Jade L L Teng, Ying Tang, Yi Huang, Feng-Biao Guo, Wen Wei, Jonathan H K Chen, Samson S Y Wong, Susanna K P Lau, Patrick C Y Woo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 29 citations in OpenAlex.

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  13. Role ofNew microbes and new infections · 2018
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  15. Clinical Mass Spectrometry in the Bioinformatics Era: A Hitchhiker's Guide.Computational and structural biotechnology journal · 2018
    Review
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Jade L L TengDepartment of Microbiology, The University of Hong KongHong Kong, China; Research Centre of Infection and Immunology, The University of Hong KongHong Kong, China; State Key Laboratory of Emerging Infectious Diseases, The University of Hong KongHong Kong, China; Carol Yu Centre for Infection, The University of Hong KongHong Kong, China.
Ying TangDepartment of Microbiology, The University of Hong Kong Hong Kong, China.
Yi HuangDepartment of Microbiology, The University of Hong Kong Hong Kong, China.
Feng-Biao GuoCentre of Bioinformatics, Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China Chengdu, China.
Wen WeiSchool of Life Sciences, Chongqing University Chongqing, China.
Jonathan H K ChenDepartment of Microbiology, The University of Hong Kong Hong Kong, China.
Samson S Y WongDepartment of Microbiology, The University of Hong KongHong Kong, China; Research Centre of Infection and Immunology, The University of Hong KongHong Kong, China; State Key Laboratory of Emerging Infectious Diseases, The University of Hong KongHong Kong, China; Carol Yu Centre for Infection, The University of Hong KongHong Kong, China.
Susanna K P LauDepartment of Microbiology, The University of Hong KongHong Kong, China; Research Centre of Infection and Immunology, The University of Hong KongHong Kong, China; State Key Laboratory of Emerging Infectious Diseases, The University of Hong KongHong Kong, China; Carol Yu Centre for Infection, The University of Hong KongHong Kong, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The University of Hong KongHong Kong, China.
Patrick C Y WooDepartment of Microbiology, The University of Hong KongHong Kong, China; Research Centre of Infection and Immunology, The University of Hong KongHong Kong, China; State Key Laboratory of Emerging Infectious Diseases, The University of Hong KongHong Kong, China; Carol Yu Centre for Infection, The University of Hong KongHong Kong, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The University of Hong KongHong Kong, China.
University of Hong Kong · HKChongqing University · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to the highly similar phenotypic profiles, protein spectra and 16S rRNA gene sequences observed between three pairs of Tsukamurella species (Tsukamurella pulmonis/Tsukamurella spongiae, Tsukamurella tyrosinosolvens/Tsukamurella carboxy-divorans, and Tsukamurella pseudospumae/Tsukamurella sunchonensis), we hypothesize that and the six Tsukamurella species may have been misclassified and that there may only be three Tsukamurella species. In this study, we characterized the type strains of these six Tsukamurella species by tradition DNA-DNA hybridization (DDH) and "digital DDH" after genome sequencing to determine their exact taxonomic positions. Traditional DDH showed 81.2 ± 0.6% to 99.7 ± 1.0% DNA-DNA relatedness between the two Tsukamurella species in each of the three pairs, which was above the threshold for same species designation. "Digital DDH" based on Genome-To-Genome Distance Calculator and Average Nucleotide Identity for the three pairs also showed similarity results in the range of 82.3-92.9 and 98.1-99.1%, respectively, in line with results of traditional DDH. Based on these evidence and according to Rules 23a and 42 of the Bacteriological Code, we propose that T. spongiae Olson et al. 2007, should be reclassified as a later heterotypic synonym of T. pulmonis Yassin et al. 1996, T. carboxydivorans Park et al. 2009, as a later heterotypic synonym of T. tyrosinosolvens Yassin et al. 1997, and T. sunchonensis Seong et al. 2008 as a later heterotypic synonym of T. pseudospumae Nam et al. 2004. With the advancement of genome sequencing technologies, classification of bacterial species can be readily achieved by "digital DDH" than traditional DDH.

Indexed as

genomicsphylogenomicreclassificationspeciesTsukamurella

Identifiers

PMID27493643
PMCPMC4955295
OpenAlexW2506823285

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.