Evidence map›Paper›PMID 29932393›Full record

ArticleMicrobial genomics2018

Using glycolysis enzyme sequences to inform Lactobacillus phylogeny.

Katelyn Brandt, Rodolphe Barrangou

Abstract read
In one paragraph

Article in Microbial genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Comparative genomics ofComputational and structural biotechnology journal · 2023
    Article
  4. Article
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  8. Article
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  11. Host and body site-specific adaptation ofNAR genomics and bioinformatics · 2020
    Article
  12. ThemSphere · 2018
    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

2 authors.

Katelyn Brandt1​Genomic Sciences Graduate Program, North Carolina State University, Raleigh, NC 27695, USA.
Rodolphe Barrangou1​Genomic Sciences Graduate Program, North Carolina State University, Raleigh, NC 27695, USA.

Funding

GRADUATE TRAINING IN BIOINFORMATICST32ES007329 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Fred A. Wright · 2000 to 2026
$6.8M
NIEHS NIH HHS T32 ES007329
6 · The paper itself

Abstract

The genus Lactobacillus encompasses a diversity of species that occur widely in nature and encode a plethora of metabolic pathways reflecting their adaptation to various ecological niches, including humans, animals, plants and food products. Accordingly, their functional attributes have been exploited industrially and several strains are commonly formulated as probiotics or starter cultures in the food industry. Although divergent evolutionary processes have yielded the acquisition and evolution of specialized functionalities, all Lactobacillus species share a small set of core metabolic properties, including the glycolysis pathway. Thus, the sequences of glycolytic enzymes afford a means to establish phylogenetic groups with the potential to discern species that are too closely related from a 16S rRNA standpoint. Here, we identified and extracted glycolysis enzyme sequences from 52 species, and carried out individual and concatenated phylogenetic analyses. We show that a glycolysis-based phylogenetic tree can robustly segregate lactobacilli into distinct clusters and discern very closely related species. We also compare and contrast evolutionary patterns with genome-wide features and transcriptomic patterns, reflecting genomic drift trends. Overall, results suggest that glycolytic enzymes provide valuable phylogenetic insights and may constitute practical targets for evolutionary studies.

Indexed as

Base CompositionEvolution, MolecularGene Expression Regulation, BacterialGenetic DriftGenome, BacterialGenome SizeGlycolysisLactobacillusProbioticsRNA, Ribosomal, 16SSequence AlignmentSpecies SpecificityRNA, Ribosomal, 16SevolutionglycolysisLactobacillusphylogeny

Identifiers

PMID29932393
PMCPMC6096939

What OpenQuestion holds

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LicenceCC BY
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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.