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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Universidade de Lisb...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
UTL Repository
Master thesis . 2024
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Microbial Diversity and Discrimination of Queijo de Azeitão and Queijo de Nisa PDO cheeses based on Metagenomic data

Authors: Teles, Carlota Ribeiro;

Microbial Diversity and Discrimination of Queijo de Azeitão and Queijo de Nisa PDO cheeses based on Metagenomic data

Abstract

Traditional Portuguese cheeses are highly valued for their unique organoleptic properties and quality. These properties stem from using raw, instead of pasteurized, milk in their production, which has a very diverse and rich microbiota. To ensure the quality of the cheeses, some traditional cheeses deserve a protective designation to guarantee their authenticity and adherence to traditional manufacturing practices - Protected Designation of Origin (PDO), which ensures that the products are produced, processed, and prepared in a defined geographical area, using traditional manufacturing methods and ingredients specific to that region. This FCT project, EMOTION, collected, in 2021, a total of 24 cheese samples, sixteen of which were collected from four PDO cheese factories in Azeitão and eight collected from two PDO cheese factories in the Nisa. In this master’s project, to find differences in the microbiota present in the two types of cheese, multivariate data visualization methods were used, such as Principal Coordinate Analysis (PCoA) and Non-metric Multidimensional Scaling (NMDS), as well as two statistical tests, Permutational Multivariate Analysis of Variance (PERMANOVA) and Analysis of Similarities (ANOSIM). The second objective was to identify the bacteria responsible for differentiating the two types of cheese. For this, a method known as Linear Discriminant Analysis Effect Size (LEfSe) was used. Both tests, PERMANOVA (p = 0.039) and ANOSIM (p = 0.004), revealed significant differences in the microbial composition of Nisa and Azeitão PDO cheeses. Based on the LDA scores histogram, bacteria of the genus Lacticaseibacillus (p = 0.0433) have a higher abundance in Nisa PDO cheeses than in Azeitão cheeses. Bacteria of the genera Enterococcus (p = 0.00117), Corynebacterium (p = 0.00705), and Latilactobacillus (p = 0.000757) have a higher abundance in PDO cheeses from the Azeitão region.

Trabalho de projeto de mestrado, Bioestatística, 2024, Universidade de Lisboa, Faculdade de Ciências

Country
Portugal
Keywords

biomarcadores, microbiota, metagenómica, Departamento de Estatística e Investigação Operacional, queijos tradicionais portugueses, Trabalhos de projeto de mestrado - 2024

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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