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Characterization of the fungal microflora in raw milk and specialty cheeses of the province of Quebec

Overview of attention for article published in Dairy Science & Technology (EDP Sciences), December 2011
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Title
Characterization of the fungal microflora in raw milk and specialty cheeses of the province of Quebec
Published in
Dairy Science & Technology (EDP Sciences), December 2011
DOI 10.1007/s13594-011-0051-4
Pubmed ID
Authors

Karine Lavoie, Marilyne Touchette, Daniel St-Gelais, Steve Labrie

Abstract

The cheese microbial ecosystem is complex, and the presence of non-starter adventitious microorganisms in milk may have an influence on the organoleptic characteristics of cheese. The aim of this study was to analyze the composition and diversity of the fungal flora of raw milk destined for cheesemaking from 19 dairy farms in Quebec and to monitor their evolution throughout ripening. Six hundred ten yeast and mold isolates were collected from raw milk and raw milk cheeses over a 9-month period. Based on the sequences of the rDNA ITS1-5.8S-ITS2 region, 67% of the raw milk isolates were yeasts, which were assigned to 37 species across 11 genera, while 33% were molds, which were assigned to 33 species across 25 genera. A semi-quantitative analysis of the yeasts and molds in the raw milk from four farms was performed over a 5-month period. The composition and diversity of the fungal microflora were totally different for each farm, each of which had a unique species profile. To determine whether adventitious yeast strains from the milk could develop in raw milk cheese, a multilocus-sequence-typing (MLST) analysis was performed on 13 Issatchenkia orientalis (syn. Pichia kudriavzevii, anamorph: Candida krusei) isolates. The same MLST genotypes were identified for strains independently isolated from raw milk and raw milk cheese from a farm processing its own milk. This study contributes to the understanding of the natural fungal microflora of raw milk and suggests that non-starter yeasts and molds can transfer from raw milk to raw milk cheese and may influence cheese ripening. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13594-011-0051-4) contains supplementary material, which is available to authorized users.

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X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 144 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 14%
Student > Master 16 11%
Student > Ph. D. Student 15 10%
Researcher 13 9%
Student > Doctoral Student 8 6%
Other 14 10%
Unknown 58 40%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 31%
Biochemistry, Genetics and Molecular Biology 14 10%
Veterinary Science and Veterinary Medicine 6 4%
Immunology and Microbiology 4 3%
Computer Science 2 1%
Other 13 9%
Unknown 61 42%
Attention Score in Context

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 07 December 2012.
All research outputs
#17,593,170
of 25,791,495 outputs
Outputs from Dairy Science & Technology (EDP Sciences)
#266
of 287 outputs
Outputs of similar age
#174,200
of 251,449 outputs
Outputs of similar age from Dairy Science & Technology (EDP Sciences)
#3
of 3 outputs
Altmetric has tracked 25,791,495 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 251,449 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.