Evidence map›Paper›PMID 27407290›Full record

ArticleIndian journal of microbiology2016

Comparative Genomics Reveals Biomarkers to Identify Lactobacillus Species.

Shikha Koul, Vipin Chandra Kalia

Abstract read
In one paragraph

Article in Indian journal of microbiology, 2016. 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
–field-weighted citation impact
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.

  1. Article
  2. PCR Screening ofIndian journal of microbiology · 2020
    Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. 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

2 authors.

Shikha KoulMicrobial Biotechnology and Genomics, CSIR - Institute of Genomics and Integrative Biology (IGIB), Delhi University Campus, Mall Road, Delhi, 110007 India ; Academy of Scientific and Innovative Research (AcSIR), 2, Rafi Marg, Anusandhan Bhawan, Delhi, 110001 India.
Vipin Chandra KaliaMicrobial Biotechnology and Genomics, CSIR - Institute of Genomics and Integrative Biology (IGIB), Delhi University Campus, Mall Road, Delhi, 110007 India ; Academy of Scientific and Innovative Research (AcSIR), 2, Rafi Marg, Anusandhan Bhawan, Delhi, 110001 India.ORCID 0000-0001-7892-2601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria possessing multiple copies of 16S rRNA (rrs) gene demonstrate high intragenomic heterogeneity. It hinders clear distinction at species level and even leads to overestimation of the bacterial diversity. Fifty completely sequenced genomes belonging to 19 species of Lactobacillus species were found to possess 4-9 copies of rrs each. Multiple sequence alignment of 268 rrs genes from all the 19 species could be classified into 20 groups. Lactobacillus sanfranciscensis TMW 1.1304 was the only species where all the 7 copies of rrs were exactly similar and thus formed a distinct group. In order to circumvent the problem of high heterogeneity arising due to multiple copies of rrs, 19 additional genes (732-3645 nucleotides in size) common to Lactobacillus genomes, were selected and digested with 10 Type II restriction endonucleases (RE), under in silico conditions. The following unique gene-RE combinations: recA (1098 nts)-HpyCH4 V, CviAII, BfuCI and RsaI were found to be useful in identifying 29 strains representing 17 species. Digestion patterns of genes-ruvB (1020 nts), dnaA (1368 nts), purA (1290 nts), dnaJ (1140 nts), and gyrB (1944 nts) in combination with REs-AluI, BfuCI, CviAI, Taq1, and Tru9I allowed clear identification of an additional 14 strains belonging to 8 species. Digestion pattern of genes recA, ruvB, dnaA, purA, dnaJ and gyrB can be used as biomarkers for identifying different species of Lactobacillus.

Indexed as

BiomarkersDiagnosisGenomeIn silicoLactobacillusRestriction endonuclease

Identifiers

PMID27407290
PMCPMC4920774

What OpenQuestion holds

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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.