Evidence map›Paper›PMID 30252901›Full record

ArticlePloS one2018

Deciphering intra-species bacterial diversity of meat and seafood spoilage microbiota using gyrB amplicon sequencing: A comparative analysis with 16S rDNA V3-V4 amplicon sequencing.

Simon Poirier, Olivier Rué, Raphaëlle Peguilhan, Gwendoline Coeuret, Monique Zagorec, Marie-Christine Champomier-Vergès, Valentin Loux, Stéphane Chaillou

Abstract readComparative Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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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

8 authors.

Simon PoirierMICALIS, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.
Olivier RuéMaIAGE, INRA, Université Paris-Saclay, Jouy-en-Josas, France.
Raphaëlle PeguilhanMICALIS, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.
Gwendoline CoeuretMICALIS, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.
Monique ZagorecSecalim, INRA, Oniris, Nantes, France.
Marie-Christine Champomier-VergèsMICALIS, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.
Valentin LouxMaIAGE, INRA, Université Paris-Saclay, Jouy-en-Josas, France.
Stéphane ChaillouMICALIS, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.ORCID 0000-0003-2229-0697

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meat and seafood spoilage ecosystems harbor extensive bacterial genomic diversity that is mainly found within a small number of species but within a large number of strains with different spoilage metabolic potential. To decipher the intraspecies diversity of such microbiota, traditional metagenetic analysis using the 16S rRNA gene is inadequate. We therefore assessed the potential benefit of an alternative genetic marker, gyrB, which encodes the subunit B of DNA gyrase, a type II DNA topoisomerase. A comparison between 16S rDNA-based (V3-V4) amplicon sequencing and gyrB-based amplicon sequencing was carried out in five types of meat and seafood products, with five mock communities serving as quality controls. Our results revealed that bacterial richness in these mock communities and food samples was estimated with higher accuracy using gyrB than using16S rDNA. However, for Firmicutes species, 35% of putative gyrB reads were actually identified as sequences of a gyrB paralog, parE, which encodes subunit B of topoisomerase IV; we therefore constructed a reference database of published sequences of both gyrB and pare for use in all subsequent analyses. Despite this co-amplification, the deviation between relative sequencing quantification and absolute qPCR quantification was comparable to that observed for 16S rDNA for all the tested species. This confirms that gyrB can be used successfully alongside 16S rDNA to determine the species composition (richness and evenness) of food microbiota. The major benefit of gyrB sequencing is its potential for improving taxonomic assignment and for further investigating OTU richness at the subspecies level, thus allowing more accurate discrimination of samples. Indeed, 80% of the reads of the 16S rDNA dataset were represented by thirteen 16S rDNA-based OTUs that could not be assigned at the species-level. Instead, these same clades corresponded to 44 gyrB-based OTUs, which differentiated various lineages down to the subspecies level. The increased ability of gyrB-based analyses to track and trace phylogenetically different groups of strains will generate improved resolution and more reliable results for studies of the strains implicated in food processes.

Indexed as

AnimalsBacteriaDNA, BacterialDNA GyraseDNA, RibosomalDNA Topoisomerase IVFood MicrobiologyGenes, BacterialGenetic MarkersGenetic VariationHigh-Throughput Nucleotide SequencingHumansMeatMetagenomeMicrobiotaPhylogenyDNA, BacterialDNA GyraseDNA, RibosomalDNA Topoisomerase IVGenetic MarkersRNA, Ribosomal, 16S

Identifiers

PMID30252901
PMCPMC6155546

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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.