Evidence map›Paper›PMID 30006593›Full record

ArticleScientific reports2018

Comparative genomics and genotype-phenotype associations in Bifidobacterium breve.

Francesca Bottacini, Ruth Morrissey, Maria Esteban-Torres, Kieran James, Justin van Breen, Evgenia Dikareva, Muireann Egan, Jolanda Lambert, Kees van Limpt, Jan Knol and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
7.1field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Strain-Level Differences ofJournal of microbiology and biotechnology · 2025
    Article
  3. Article
  4. Article
  5. Gene-trait matching amongFrontiers in microbiology · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Microorganisms · 2023
    Article
  12. Article
  13. Article
  14. Genome-Wide Assessment of Stress-Associated Genes in Bifidobacteria.Applied and environmental microbiology · 2022
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

12 authors at 2 institutions in 2 countries.

Francesca BottaciniAPC Microbiome Ireland, University College Cork, Western Road, Cork, Ireland.
Ruth MorrisseyAPC Microbiome Ireland, University College Cork, Western Road, Cork, Ireland.
Maria Esteban-TorresAPC Microbiome Ireland, University College Cork, Western Road, Cork, Ireland.
Kieran JamesAPC Microbiome Ireland, University College Cork, Western Road, Cork, Ireland.
Justin van BreenAPC Microbiome Ireland, University College Cork, Western Road, Cork, Ireland.
Evgenia DikarevaAPC Microbiome Ireland, University College Cork, Western Road, Cork, Ireland.
Muireann EganAPC Microbiome Ireland, University College Cork, Western Road, Cork, Ireland.
Jolanda LambertDanone Nutricia Research, Utrecht, The Netherlands.
Kees van LimptDanone Nutricia Research, Utrecht, The Netherlands.
Jan KnolDanone Nutricia Research, Utrecht, The Netherlands.ORCID 0000-0002-2103-5961
Mary O'Connell MotherwayAPC Microbiome Ireland, University College Cork, Western Road, Cork, Ireland.
Douwe van SinderenAPC Microbiome Ireland, University College Cork, Western Road, Cork, Ireland. d.vansinderen@ucc.ie.
University College Cork · IEDanone (Netherlands) · NL

Funding

Federation of European Microbiological Societies (FEMS) FEMS-RG-2016-0103Health Research Board (HRB) PDTM/2011/9Irish Research Council GOIPD/2017/1302Science Foundation Ireland (SFI) SFI/12/RC/2273
6 · The paper itself

Abstract

Bifidobacteria are common members of the gastro-intestinal microbiota of a broad range of animal hosts. Their successful adaptation to this particular niche is linked to their saccharolytic metabolism, which is supported by a wide range of glycosyl hydrolases. In the current study a large-scale gene-trait matching (GTM) effort was performed to explore glycan degradation capabilities in B. breve. By correlating the presence/absence of genes and associated genomic clusters with growth/no-growth patterns across a dataset of 20 Bifidobacterium breve strains and nearly 80 different potential growth substrates, we not only validated the approach for a number of previously characterized carbohydrate utilization clusters, but we were also able to discover novel genetic clusters linked to the metabolism of salicin and sucrose. Using GTM, genetic associations were also established for antibiotic resistance and exopolysaccharide production, thereby identifying (novel) bifidobacterial antibiotic resistance markers and showing that the GTM approach is applicable to a variety of phenotypes. Overall, the GTM findings clearly expand our knowledge on members of the B. breve species, in particular how their variable genetic features can be linked to specific phenotypes.

Indexed as

Genetic Association StudiesGenomicsMultigene FamilyBenzyl AlcoholsBifidobacterium breveBiosynthetic PathwaysComputational BiologyDisk Diffusion Antimicrobial TestsDrug Resistance, BacterialGlucosidesMutagenesisPolysaccharides, BacterialSucroseBenzyl AlcoholsGlucosidesPolysaccharides, BacterialsalicinSucrose

Identifiers

PMID30006593
PMCPMC6045613
OpenAlexW2835587310

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.