Evidence map›Paper›PMID 34330235›Full record

ArticleBMC biotechnology2021

Genome-scale insights into the metabolic versatility of Limosilactobacillus reuteri.

Hao Luo, Peishun Li, Hao Wang, Stefan Roos, Boyang Ji, Jens Nielsen

Abstract read
In one paragraph

Article in BMC biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Comparative Genomics ofMicroorganisms · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

6 authors.

Hao LuoDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE412 96, Gothenburg, Sweden.
Peishun LiDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE412 96, Gothenburg, Sweden.
Hao WangDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE412 96, Gothenburg, Sweden.
Stefan RoosDepartment of Molecular Sciences, Uppsala BioCenter, Swedish University of Agricultural Sciences, SE750 07, Uppsala, Sweden.
Boyang JiDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE412 96, Gothenburg, Sweden.
Jens NielsenDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE412 96, Gothenburg, Sweden. nielsenj@chalmers.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimosilactobacillus reuteri (earlier known as Lactobacillus reuteri) is a well-studied lactic acid bacterium, with some specific strains used as probiotics, that exists in different hosts such as human, pig, goat, mouse and rat, with multiple body sites such as the gastrointestinal tract, breast milk and mouth. Numerous studies have confirmed the beneficial effects of orally administered specific L. reuteri strains, such as preventing bone loss and promoting regulatory immune system development. L. reuteri ATCC PTA 6475 is a widely used strain that has been applied in the market as a probiotic due to its positive effects on the human host. Its health benefits may be due, in part, to the production of beneficial metabolites. Considering the strain-specific effects and genetic diversity of L. reuteri strains, we were interested to study the metabolic versatility of these strains.

resultsIn this study, we aimed to systematically investigate the metabolic features and diversities of L. reuteri strains by using genome-scale metabolic models (GEMs). The GEM of L. reuteri ATCC PTA 6475 was reconstructed with a template-based method and curated manually. The final GEM iHL622 of L. reuteri ATCC PTA 6475 contains 894 reactions and 726 metabolites linked to 622 metabolic genes, which can be used to simulate growth and amino acids utilization. Furthermore, we built GEMs for the other 35 L. reuteri strains from three types of hosts. The comparison of the L. reuteri GEMs identified potential metabolic products linked to the adaptation to the host.

conclusionsThe GEM of L. reuteri ATCC PTA 6475 can be used to simulate metabolic capabilities and growth. The core and pan model of 35 L. reuteri strains shows metabolic capacity differences both between and within the host groups. The GEMs provide a reliable basis to investigate the metabolism of L. reuteri in detail and their potential benefits on the host.

Indexed as

Genome, BacterialAnimalsGoatsHost SpecificityHumansLimosilactobacillus reuteriMiceRatsSwineCore metabolismLimosilactobacillus reuteri, LactobacillusPan metabolismProbiotic, Genome-scale metabolic model, Metabolic versatility

Identifiers

PMID34330235
PMCPMC8325179

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.