Evidence map›Paper›PMID 16204219›Full record

ArticleGenetics2006

Adaptation of multilocus sequencing for studying variation within a major clone: evolutionary relationships of Salmonella enterica serovar Typhimurium.

Honghua Hu, Ruiting Lan, Peter R Reeves

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Identification and Discrimination ofFrontiers in microbiology · 2018
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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

3 authors at 2 institutions in 1 country.

Honghua HuSchool of Molecular and Microbial Biosciences, The University of Sydney, New South Wales, Australia.
Ruiting Lan
Peter R Reeves
University of Sydney · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serovar Typhimurium of Salmonella enterica is a model organism for studies of pathogenesis that exhibits phage-type variation and variation in host range and virulence, but in a recent study showed no sequence variation in four genes, indicating the clonal nature of this serovar. We determined the relationships of 46 Typhimurium isolates of nine phage types using mutational changes detected either by matching AFLP (amplified fragment length polymorphism) fragments to computer-modeled LT2 AFLP fragments or by sequencing intergenic regions. Fifty-one polymorphic sites were detected, which gave a single phylogenetic tree. Comparison with genome sequences of five other serovars, Typhi, Paratyphi A, Gallinarum, Enteritidis, and Pullorum, enabled determination of the root of the tree. Only two parallel events were observed, giving high confidence in the tree branching order. The mutation-based tree provided a high level of consistency and a clear lineage for the Typhimurium isolates studied. This enabled us to show that for seven of the nine phage types used, the isolates studied have a single origin, but that two phage types clearly have more than one independent origin. We found that sequencing intergenic regions provides a good strategy for detection of mutational polymorphisms and study of phylogenetic relationships of closely related isolates and would be applicable to many other species.

Indexed as

Evolution, MolecularGenetic VariationSequence Analysis, DNAClone CellsDNA, IntergenicDNA Mutational AnalysisGenetic MarkersMolecular Sequence DataPhylogenyPolymorphism, Single NucleotideSalmonella typhimuriumDNA, IntergenicGenetic Markers

Identifiers

PMID16204219
PMCPMC1456234
OpenAlexW2143116359

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.