Evidence map›Paper›PMID 25886522›Full record

ArticleBMC genomics2015

Mutations and genomic islands can explain the strain dependency of sugar utilization in 21 strains of Propionibacterium freudenreichii.

Valentin Loux, Mahendra Mariadassou, Sintia Almeida, Hélène Chiapello, Amal Hammani, Julien Buratti, Annie Gendrault, Valérie Barbe, Jean-Marc Aury, Stéphanie-Marie Deutsch and 8 more

Open access · goldAbstract 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 35 citations in OpenAlex.

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  9. Exploration of Nitrate Reductase Metabolic Pathway inInternational journal of genomics · 2017
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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

18 authors at 7 institutions in 3 countries.

Valentin LouxINRA Mathématique Informatique et Génome, France Institute of Biological, Jouy en Josas, 78352, France. valentin.loux@jouy.inra.fr.
Mahendra MariadassouINRA Mathématique Informatique et Génome, France Institute of Biological, Jouy en Josas, 78352, France. mahendra.mariadassou@jouy.inra.fr.
Sintia AlmeidaINRA, UMR 1253, Science et Technologie du Lait et de l'Oeuf, Rennes, 35000, France. sintiaalmeida@gmail.com.
Hélène ChiapelloINRA Mathématique Informatique et Génome, France Institute of Biological, Jouy en Josas, 78352, France. helene.chiapello@toulouse.inra.fr.
Amal HammaniINRA Mathématique Informatique et Génome, France Institute of Biological, Jouy en Josas, 78352, France. amal.hammani@gmail.com.
Julien BurattiINRA Mathématique Informatique et Génome, France Institute of Biological, Jouy en Josas, 78352, France. julien.buratti@gmail.com.
Annie GendraultINRA Mathématique Informatique et Génome, France Institute of Biological, Jouy en Josas, 78352, France. annie.gendrault@jouy.inra.fr.
Valérie BarbeCEA Genoscope CNRS and université d'Evry, Evry, 91006, France. vbarbe@genoscope.cns.fr.
Jean-Marc AuryCEA Genoscope CNRS and université d'Evry, Evry, 91006, France. jmaury@genoscope.cns.fr.
Stéphanie-Marie DeutschINRA, UMR 1253, Science et Technologie du Lait et de l'Oeuf, Rennes, 35000, France. stephanie-marie.deutsch@rennes.inra.fr.
Sandrine ParayreINRA, UMR 1253, Science et Technologie du Lait et de l'Oeuf, Rennes, 35000, France. sandrine.parayre@rennes.inra.fr.
Marie-Noëlle MadecINRA, UMR 1253, Science et Technologie du Lait et de l'Oeuf, Rennes, 35000, France. marie-noelle.madec@rennes.inra.fr.
Victoria ChuatINRA, UMR 1253, Science et Technologie du Lait et de l'Oeuf, Rennes, 35000, France. victoria.chuat@rennes.inra.fr.
Gwenaël JanINRA, UMR 1253, Science et Technologie du Lait et de l'Oeuf, Rennes, 35000, France. gwenael.jan@rennes.inra.fr.
Pierre PeterlongoINRIA Campus de Beaulieu- Rennes, Rennes Cedex, 35042, France. pierre.peterlongo@inria.fr.
Vasco AzevedoSciences, Federal University of Minas Gerais Belo Horizonte, Minas Gerais, Brazil. vascoariston@gmail.com.
Yves Le LoirINRA, UMR 1253, Science et Technologie du Lait et de l'Oeuf, Rennes, 35000, France. yves.leloir@rennes.inra.fr.
Hélène FalentinINRA, UMR 1253, Science et Technologie du Lait et de l'Oeuf, Rennes, 35000, France. helene.falentin@rennes.inra.fr.
Institut National de la Recherche Agronomique · MAInstitut Agro Rennes-Angers · FRLaboratoire Science & technologie du Lait & de l'œuf · FRCentre National de la Recherche Scientifique · FRInstitut national de recherche en informatique et en automatique · FRUniversidade Federal de Minas Gerais · BRUniversité d'Évry Val-d'Essonne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPropionibacterium freudenreichii (PF) is an actinobacterium used in cheese technology and for its probiotic properties. PF is also extremely adaptable to several ecological niches and can grow on a variety of carbon and nitrogen sources. The aim of this work was to discover the genetic basis for strain-dependent traits related to its ability to use specific carbon sources. High-throughput sequencing technologies were ideal for this purpose as they have the potential to decipher genomic diversity at a moderate cost.

results21 strains of PF were sequenced and the genomes were assembled de novo. Scaffolds were ordered by comparison with the complete reference genome CIRM-BIA1, obtained previously using traditional Sanger sequencing. Automatic functional annotation and manual curation were performed. Each gene was attributed to either the core genome or an accessory genome. The ability of the 21 strains to degrade 50 different sugars was evaluated. Thirty-three sugars were degraded by none of the sequenced strains whereas eight sugars were degraded by all of them. The corresponding genes were present in the core genome. Lactose, melibiose and xylitol were only used by some strains. In this case, the presence/absence of genes responsible for carbon uptake and degradation correlated well with the phenotypes, with the exception of xylitol. Furthermore, the simultaneous presence of these genes was in line the metabolic pathways described previously in other species. We also considered the genetic origin (transduction, rearrangement) of the corresponding genomic islands. Ribose and gluconate were degraded to a greater or lesser extent (quantitative phenotype) by some strains. For these sugars, the phenotypes could not be explained by the presence/absence of a gene but correlated with the premature appearance of a stop codon interrupting protein synthesis and preventing the catabolism of corresponding carbon sources.

conclusionThese results illustrate (i) the power of correlation studies to discover the genetic basis of binary strain-dependent traits, and (ii) the plasticity of PF chromosomes, probably resulting from horizontal transfers, duplications, transpositions and an accumulation of mutations. Knowledge of the genetic basis of nitrogen and sugar degradation opens up new strategies for the screening of PF strain collections to enable optimum cheese starter, probiotic and white biotechnology applications.

Indexed as

Genome, BacterialCarbohydrate MetabolismCheeseDNA, BacterialGenomic IslandsHigh-Throughput Nucleotide SequencingMetabolic Networks and PathwaysMutationNitratesPhenotypePhylogenyPropionibacteriumSequence Analysis, DNASpecies SpecificityDNA, BacterialNitrates

Identifiers

PMID25886522
PMCPMC4437456
OpenAlexW2035268288

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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.