Evidence map›Paper›PMID 18024686›Full record

ArticleApplied and environmental microbiology2008

Identification of Streptococcus uberis multilocus sequence types highly associated with mastitis.

Takehiro Tomita, Brian Meehan, Nalin Wongkattiya, Jakob Malmo, Gillian Pullinger, James Leigh, Margaret Deighton

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Multilocus Sequence Genotype Heterogeneity inAnimals : an open access journal from MDPI · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Molecular variability ofCanadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2019
    Article
  12. Article
  13. Molecular biological tools applied for identification of mastitis causing pathogens.International journal of veterinary science and medicine · 2017
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Changing trends in mastitis.Irish veterinary journal · 2009
    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

7 authors.

Takehiro TomitaDepartment of Biotechnology and Environmental Biology, RMIT University, Bundoora West Campus, Bundoora, Melbourne, Victoria 3083, Australia.
Brian Meehan
Nalin Wongkattiya
Jakob Malmo
Gillian Pullinger
James Leigh
Margaret Deighton

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multilocus sequence typing analysis of Streptococcus uberis has identified a cluster of isolates associated with clinical and subclinical mastitis and a cluster associated with cows with low somatic cell counts in their milk. Specific groups of genotypes (global clonal complex [GCC] sequence type 5s [ST5s] and GCC ST143s) were highly associated (P = 0.006) with clinical and subclinical mastitis and may represent a lineage of virulent isolates, whereas isolates belonging to GCC ST86 were associated with low-cell-count cows. This study has, for the first time, demonstrated the occurrence of identical sequence types (ST60 and ST184) between different continents (Australasia and Europe) and different countries (Australia and New Zealand). The standardized index of association and the empirical estimation of the rate of recombination showed substantial recombination within the S. uberis population in Australia, consistent with previous multilocus sequence type analyses.

Indexed as

Bacterial Typing TechniquesAnimalsCattleCluster AnalysisDNA, BacterialGenotypeMastitis, BovineMolecular EpidemiologyMolecular Sequence DataNew ZealandSequence Analysis, DNAStreptococcal InfectionsStreptococcusDNA, Bacterial

Identifiers

PMID18024686
PMCPMC2223209

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.