Evidence map›Paper›PMID 26311542›Full record

ArticleBMC genomics2015

Haemophilus influenzae: using comparative genomics to accurately identify a highly recombinogenic human pathogen.

Erin P Price, Derek S Sarovich, Elizabeth Nosworthy, Jemima Beissbarth, Robyn L Marsh, Janessa Pickering, Lea-Ann S Kirkham, Anthony D Keil, Anne B Chang, Heidi C Smith-Vaughan

Abstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. SputumInternational journal of chronic obstructive pulmonary disease · 2019
    Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Optimizing recovery of Haemophilus influenzae from vaginal-rectal specimens and determining carriage rates in pregnant women.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  8. Rare serotype c Haemophilus influenzae invasive isolate: characterization of the first case in Portugal.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Can non-typeablePediatric investigation · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Learning from -omics strategies applied to uncoverComputational and structural biotechnology journal · 2021
    Review
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

10 authors.

Erin P PriceChild Health Division, Menzies School of Health Research, Darwin, NT, Australia. erin.price@menzies.edu.au.
Derek S SarovichChild Health Division, Menzies School of Health Research, Darwin, NT, Australia. derek.sarovich@menzies.edu.au.
Elizabeth NosworthyChild Health Division, Menzies School of Health Research, Darwin, NT, Australia. elizabeth.nosworthy@menzies.edu.au.
Jemima BeissbarthChild Health Division, Menzies School of Health Research, Darwin, NT, Australia. jemima.beissbarth@menzies.edu.au.
Robyn L MarshChild Health Division, Menzies School of Health Research, Darwin, NT, Australia. robyn.marsh@menzies.edu.au.
Janessa PickeringUniversity of Western Australia, Perth, WA, Australia. janessa.pickering@uwa.edu.au.
Lea-Ann S KirkhamUniversity of Western Australia, Perth, WA, Australia. lea-ann.kirkham@uwa.edu.au.
Anthony D KeilDepartment of Microbiology, PathWest Laboratory Medicine WA, Princess Margaret Hospital for Children and King Edward Memorial Hospital for Women, Perth, WA, Australia. anthony.keil@health.wa.gov.au.
Anne B ChangChild Health Division, Menzies School of Health Research, Darwin, NT, Australia. anne.chang@menzies.edu.au.
Heidi C Smith-VaughanChild Health Division, Menzies School of Health Research, Darwin, NT, Australia. heidi.smith-vaughan@menzies.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHaemophilus influenzae is an opportunistic bacterial pathogen that exclusively colonises humans and is associated with both acute and chronic disease. Despite its clinical significance, accurate identification of H. influenzae is a non-trivial endeavour. H. haemolyticus can be misidentified as H. influenzae from clinical specimens using selective culturing methods, reflecting both the shared environmental niche and phenotypic similarities of these species. On the molecular level, frequent genetic exchange amongst Haemophilus spp. has confounded accurate identification of H. influenzae, leading to both false-positive and false-negative results with existing speciation assays.

resultsWhole-genome single-nucleotide polymorphism data from 246 closely related global Haemophilus isolates, including 107 Australian isolate genomes generated in this study, were used to construct a whole-genome phylogeny. Based on this phylogeny, H. influenzae could be differentiated from closely related species. Next, a H. influenzae-specific locus, fucP, was identified, and a novel TaqMan real-time PCR assay targeting fucP was designed. PCR specificity screening across a panel of clinically relevant species, coupled with in silico analysis of all species within the order Pasteurellales, demonstrated that the fucP assay was 100 % specific for H. influenzae; all other examined species failed to amplify.

conclusionsThis study is the first of its kind to use large-scale comparative genomic analysis of Haemophilus spp. to accurately delineate H. influenzae and to identify a species-specific molecular signature for this species. The fucP assay outperforms existing H. influenzae targets, most of which were identified prior to the next-generation genomics era and thus lack validation across a large number of Haemophilus spp. We recommend use of the fucP assay in clinical and research laboratories for the most accurate detection and diagnosis of H. influenzae infection and colonisation.

Indexed as

Genome, BacterialGenomicsRecombination, GeneticCluster AnalysisHaemophilus influenzaeHumansPhylogenyPolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID26311542
PMCPMC4551764

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.