Evidence map›Paper›PMID 26063934›Full record

ArticleIndian journal of microbiology2015

Genome Wide Analysis for Searching Novel Markers to Rapidly Identify Clostridium Strains.

Anay Kekre, Ashish Bhushan, Prasun Kumar, Vipin Chandra Kalia

Abstract read
In one paragraph

Article in Indian journal of microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Rapid Detection Device forIndian journal of microbiology · 2018
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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

4 authors.

Anay KekreMicrobial Biotechnology and Genomics, CSIR - Institute of Genomics and Integrative Biology (IGIB), Delhi University Campus, Mall Road, Delhi, 110007 India.
Ashish BhushanMicrobial Biotechnology and Genomics, CSIR - Institute of Genomics and Integrative Biology (IGIB), Delhi University Campus, Mall Road, Delhi, 110007 India.
Prasun KumarMicrobial Biotechnology and Genomics, CSIR - Institute of Genomics and Integrative Biology (IGIB), Delhi University Campus, Mall Road, Delhi, 110007 India.
Vipin Chandra KaliaMicrobial Biotechnology and Genomics, CSIR - Institute of Genomics and Integrative Biology (IGIB), Delhi University Campus, Mall Road, Delhi, 110007 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial classification is based largely on the 16S rRNA (rrs) gene sequence, which is conserved throughout the prokaryotic domain. The Ribosomal Database Project (RDP) has become a reference point for almost all practical purposes. The use of this gene is limited by the fact that it can be used to identify only to the extent to what has been known and is available in the RDP. In order to identify an organism whose rrs is not present in the RDP database, we need to generate novel markers to place the unknown on the evolutionary map. Here, sequenced genomes of 27 Clostridium strains belonging to 9 species have been used to identify two sets of genes: (1) common to most of the species, and (2) unique to a species. Combinations of genes (recN, dnaJ, secA, mutS, and/or grpE) and their unique restriction endonuclease digestion (AluI, BfaI and/or Tru9I) patterns have been established to rapidly identify Clostridium species. This strategy for identifying novel markers can be extended to all other organisms and diagnostic applications.

Indexed as

BacteriaClostridiumDiagnosisMarkersRestriction endonuclease

Identifiers

PMID26063934
PMCPMC4456502

What OpenQuestion holds

Textmetadata
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.