Evidence map›Paper›PMID 35915434›Full record

ArticleBMC microbiology2022

Species-specific identification of Pseudomonas based on 16S-23S rRNA gene internal transcribed spacer (ITS) and its combined application with next-generation sequencing.

Shuqian Hu, Xiang Li, Xin Yin, Runmeng Li, Ruiyang Zhang, Junhao Zang, Yin Liu

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 12 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

7 authors at 1 institution in 1 country.

Shuqian Hu *The school of medicine, Nankai University, No.94 Weijin Road, Nankai District, Tianjin, 300071, China.
Xiang Li *The school of medicine, Nankai University, No.94 Weijin Road, Nankai District, Tianjin, 300071, China.
Xin YinThe school of medicine, Nankai University, No.94 Weijin Road, Nankai District, Tianjin, 300071, China.
Runmeng LiThe school of medicine, Nankai University, No.94 Weijin Road, Nankai District, Tianjin, 300071, China.
Ruiyang ZhangThe school of medicine, Nankai University, No.94 Weijin Road, Nankai District, Tianjin, 300071, China.
Junhao ZangThe school of medicine, Nankai University, No.94 Weijin Road, Nankai District, Tianjin, 300071, China.
Yin LiuThe school of medicine, Nankai University, No.94 Weijin Road, Nankai District, Tianjin, 300071, China. liuyin@nankai.edu.cn.
Nankai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPseudomonas species are widely distributed in the human body, animals, plants, soil, fresh water, seawater, etc. Pseudomonas aeruginosa is one of the main pathogens involved in nosocomial infections. It can cause endocarditis, empyema, meningitis, septicaemia and even death. However, the Pseudomonas classification system is currently inadequate and not well established.

resultsIn this study, the whole genomes of 103 Pseudomonas strains belonging to 62 species available in GenBank were collected and the specificity of the 16S-23S ribosomal RNA internal transcribed spacer (ITS) sequence was analysed. Secondary structures of ITS transcripts determining where the diversity bases were located were predicted. The alignment results using BLAST indicated that the ITS sequence is specific for most species in the genus. The remaining species were identified by additional frequency analyses based on BLAST results. A double-blind experiment where 200 ITS sequences were randomly selected indicated that this method could identify Pseudomonas species with 100% sensitivity and specificity. In addition, we applied a universal primer to amplify the Pseudomonas ITS of DNA extracts from fish samples with next-generation sequencing. The ITS analysis results were utilized to species-specifically identify the proportion of Pseudomonas species in the samples.

conclusionsThe present study developed a species-specific method identification and classification of Pseudomonas based on ITS sequences combined NGS. The method showed its potential application in other genera.

Indexed as

PseudomonasRNA, Ribosomal, 23SAnimalsDNA, BacterialDNA, Ribosomal SpacerGenes, rRNAHigh-Throughput Nucleotide SequencingHumansRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialDNA, Ribosomal SpacerRNA, Ribosomal, 16SRNA, Ribosomal, 23SBacterial identificationInternal transcribed spacerITSNext-generation sequencingPseudomonas

Identifiers

PMID35915434
PMCPMC9341087
OpenAlexW4289203378

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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.