Evidence map›Paper›PMID 32131884›Full record

ArticleBiology direct2020

Genome-based classification of Burkholderia cepacia complex provides new insight into its taxonomic status.

Yuan Jin, Jianglin Zhou, Jing Zhou, Mingda Hu, Qi Zhang, Na Kong, Hongguang Ren, Long Liang, Junjie Yue

Open access · goldAbstract read
In one paragraph

Article in Biology direct, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

57 citing papers in PubMed, 90 citations in OpenAlex.

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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 1 institution in 1 country.

Yuan JinBeijing Institute of Biotechnology, No. 20, DongDaJie Street, Fengtai, Beijing, 100071, China.
Jianglin ZhouBeijing Institute of Biotechnology, No. 20, DongDaJie Street, Fengtai, Beijing, 100071, China.
Jing ZhouBeijing Institute of Biotechnology, No. 20, DongDaJie Street, Fengtai, Beijing, 100071, China.
Mingda HuBeijing Institute of Biotechnology, No. 20, DongDaJie Street, Fengtai, Beijing, 100071, China.
Qi ZhangBeijing Institute of Biotechnology, No. 20, DongDaJie Street, Fengtai, Beijing, 100071, China.
Na KongBeijing Institute of Biotechnology, No. 20, DongDaJie Street, Fengtai, Beijing, 100071, China.
Hongguang RenBeijing Institute of Biotechnology, No. 20, DongDaJie Street, Fengtai, Beijing, 100071, China. bioren@163.com.
Long LiangBeijing Institute of Biotechnology, No. 20, DongDaJie Street, Fengtai, Beijing, 100071, China. dr.longliang@me.com.
Junjie YueBeijing Institute of Biotechnology, No. 20, DongDaJie Street, Fengtai, Beijing, 100071, China. yue_junjie@126.com.
Beijing Fengtai Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate classification of different Burkholderia cepacia complex (BCC) species is essential for therapy, prognosis assessment and research. The taxonomic status of BCC remains problematic and an improved knowledge about the classification of BCC is in particular needed.

methodsWe compared phylogenetic trees of BCC based on 16S rRNA, recA, hisA and MLSA (multilocus sequence analysis). Using the available whole genome sequences of BCC, we inferred a species tree based on estimated single-copy orthologous genes and demarcated species of BCC using dDDH/ANI clustering.

resultsWe showed that 16S rRNA, recA, hisA and MLSA have limited resolutions in the taxonomic study of closely related bacteria such as BCC. Our estimated species tree and dDDH/ANI clustering clearly separated 116 BCC strains into 36 clusters. With the appropriate reclassification of misidentified strains, these clusters corresponded to 22 known species as well as 14 putative novel species.

conclusionsThis is the first large-scale and systematic study of the taxonomic status of the BCC and could contribute to further insights into BCC taxonomy. Our study suggested that conjunctive use of core phylogeny based on single-copy orthologous genes, as well as pangenome-based dDDH/ANI clustering would provide a preferable framework for demarcating closely related species. REVIEWER: This article was reviewed by Dr. Xianwen Ren.

Indexed as

Genome, BacterialPhylogenyBacterial ProteinsBurkholderia cepacia complexMultilocus Sequence TypingRec A RecombinasesRNA, BacterialRNA, Ribosomal, 16SBacterial ProteinsRec A RecombinasesRNA, BacterialRNA, Ribosomal, 16SBurkholderia cepacia complexClassificationdDDH and ANIGenomeSingle-copy orthologous genesTaxonomy

Identifiers

PMID32131884
PMCPMC7057466
OpenAlexW3009932467

What OpenQuestion holds

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LicenceCC BY
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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.