Evidence map›Paper›PMID 16517871›Full record

ArticleJournal of clinical microbiology2006

Differentiating host-associated variants of Mycobacterium avium by PCR for detection of large sequence polymorphisms.

Makeda Semret, Christine Y Turenne, Petra de Haas, Desmond M Collins, Marcel A Behr

Abstract readComparative Study
In one paragraph

Article in Journal of clinical microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. High Molecular Diversity ofInternational journal of molecular sciences · 2025
    Article
  2. InvestigatingMicrobiology spectrum · 2023
    Article
  3. Genomic epidemiology ofFrontiers in genetics · 2023
    Article
  4. Article
  5. Comparative Genomics ofFrontiers in veterinary science · 2021
    Article
  6. Complete Genome Sequence of OvineMicroorganisms · 2020
    Article
  7. Complete Genome Sequence of Mycobacterium avium subsp.Microbiology resource announcements · 2020
    Article
  8. Diagnostic Sequences That DistinguishFrontiers in veterinary science · 2020
    Article
  9. Molecular Characterization ofFrontiers in veterinary science · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
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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

5 authors.

Makeda SemretMcGill University Health Centre, Montreal, Quebec, Canada.
Christine Y Turenne
Petra de Haas
Desmond M Collins
Marcel A Behr

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Mycobacterium avium species consists of a group of organisms that are genetically related but phenotypically diverse, with certain variants presenting clear differences in terms of their host association and disease manifestations. The ability to distinguish between these subtypes is of relevance for accurate diagnosis and for control programs. Using a comparative genomics approach, we have uncovered large sequence polymorphisms that are, respectively, absent from bird-type M. avium isolates and from cattle types and sheep types of M. avium subsp. paratuberculosis. By evaluating the distribution of these genomic polymorphisms across a panel of strains, we were able to assign unique genomic signatures to these host-associated variants. We propose a simple PCR-based strategy based on these polymorphisms that can rapidly type M. avium isolates into these subgroups.

Indexed as

AnimalsBase SequenceBirdsCattleDNA, BacterialMycobacterium aviumOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionPolymorphism, GeneticSheepSpecies SpecificityDNA, Bacterial

Identifiers

PMID16517871
PMCPMC1393138

What OpenQuestion holds

Textmetadata
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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.