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High-throughput DNA sequencing to survey bacterial histidine and tyrosine decarboxylases in raw milk cheeses

Overview of attention for article published in BMC Microbiology, November 2015
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Title
High-throughput DNA sequencing to survey bacterial histidine and tyrosine decarboxylases in raw milk cheeses
Published in
BMC Microbiology, November 2015
DOI 10.1186/s12866-015-0596-0
Pubmed ID
Authors

Daniel J. O’Sullivan, Vincenzo Fallico, Orla O’Sullivan, Paul L. H. McSweeney, Jeremiah J. Sheehan, Paul D. Cotter, Linda Giblin

Abstract

The aim of this study was to employ high-throughput DNA sequencing to assess the incidence of bacteria with biogenic amine (BA; histamine and tyramine) producing potential from among 10 different cheeses varieties. To facilitate this, a diagnostic approach using degenerate PCR primer pairs that were previously designed to amplify segments of the histidine (hdc) and tyrosine (tdc) decarboxylase gene clusters were employed. In contrast to previous studies in which the decarboxylase genes of specific isolates were studied, in this instance amplifications were performed using total metagenomic DNA extracts. Amplicons were initially cloned to facilitate Sanger sequencing of individual gene fragments to ensure that a variety of hdc and tdc genes were present. Once this was established, high throughput DNA sequencing of these amplicons was performed to provide a more in-depth analysis of the histamine- and tyramine-producing bacteria present in the cheeses. High-throughput sequencing resulted in generation of a total of 1,563,764 sequencing reads and revealed that Lactobacillus curvatus, Enterococcus faecium and E. faecalis were the dominant species with tyramine producing potential, while Lb. buchneri was found to be the dominant species harbouring histaminogenic potential. Commonly used cheese starter bacteria, including Streptococcus thermophilus and Lb. delbreueckii, were also identified as having biogenic amine producing potential in the cheese studied. Molecular analysis of bacterial communities was then further complemented with HPLC quantification of histamine and tyramine in the sampled cheeses. In this study, high-throughput DNA sequencing successfully identified populations capable of amine production in a variety of cheeses. This approach also gave an insight into the broader hdc and tdc complement within the various cheeses. This approach can be used to detect amine producing communities not only in food matrices but also in the production environment itself.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Researcher 8 22%
Student > Bachelor 5 14%
Student > Master 3 8%
Professor 3 8%
Other 10 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 41%
Immunology and Microbiology 5 14%
Unspecified 5 14%
Veterinary Science and Veterinary Medicine 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 8 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 November 2015.
All research outputs
#10,994,893
of 12,372,633 outputs
Outputs from BMC Microbiology
#1,466
of 1,804 outputs
Outputs of similar age
#266,898
of 327,812 outputs
Outputs of similar age from BMC Microbiology
#132
of 164 outputs
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We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.