A Microbial Phenomics Approach to Determine Metabolic Signatures to Enhance Seabream

EcoPlate fish food microbiology food quality traceability

Journal

Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569

Informations de publication

Date de publication:
28 Aug 2024
Historique:
received: 03 07 2024
revised: 13 08 2024
accepted: 21 08 2024
medline: 14 9 2024
pubmed: 14 9 2024
entrez: 14 9 2024
Statut: epublish

Résumé

The need for efficient and simplified techniques for seafood traceability is growing. This study proposes the Biolog EcoPlate assay as an innovative method for assessing wild and farmed The Biolog EcoPlate assay, known for its high-throughput capabilities in microbial ecology, was utilized to evaluate the functional diversity of microbial communities from various organs of Gills provided the most accurate clusterization of sample origin. The assay monitored the development of color for carbon sources such as α-cyclodextrin, D-cellobiose, glycogen, α-D-lactose, L-threonine and L-phenylalanine. A mock experiment using principal component analysis (PCA) successfully identified the origin of a blind sample. Shannon and Simpson indexes were used to statistically assess the diversity, reflecting the clusterization of different organ samples; Conclusions: The Biolog EcoPlate assay proves to be a quick, cost-effective method for discriminate

Sections du résumé

BACKGROUND BACKGROUND
The need for efficient and simplified techniques for seafood traceability is growing. This study proposes the Biolog EcoPlate assay as an innovative method for assessing wild and farmed
METHODS METHODS
The Biolog EcoPlate assay, known for its high-throughput capabilities in microbial ecology, was utilized to evaluate the functional diversity of microbial communities from various organs of
RESULTS RESULTS
Gills provided the most accurate clusterization of sample origin. The assay monitored the development of color for carbon sources such as α-cyclodextrin, D-cellobiose, glycogen, α-D-lactose, L-threonine and L-phenylalanine. A mock experiment using principal component analysis (PCA) successfully identified the origin of a blind sample. Shannon and Simpson indexes were used to statistically assess the diversity, reflecting the clusterization of different organ samples; Conclusions: The Biolog EcoPlate assay proves to be a quick, cost-effective method for discriminate

Identifiants

pubmed: 39272492
pii: foods13172726
doi: 10.3390/foods13172726
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Regione Toscana with the project PO FEAMP 2014-2020 - Misura 1.39 SSL FLAG Costa degli Etrusch
ID : 2/SSL/16/TO-1/ICR/21/TO

Auteurs

Marta Nerini (M)

Department of Biology, University of Florence, Via Madonna del Piano, 50019 Firenze, Italy.

Alessandro Russo (A)

Department of Biology, University of Florence, Via Madonna del Piano, 50019 Firenze, Italy.

Francesca Decorosi (F)

Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50019 Florence, Italy.

Niccolò Meriggi (N)

Institute of Agricultural Biology and Biotechnology (IBBA), National Research Council (CNR), 56124 Pisa, Italy.

Carlo Viti (C)

Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, 50019 Florence, Italy.

Duccio Cavalieri (D)

Department of Biology, University of Florence, Via Madonna del Piano, 50019 Firenze, Italy.

Massimiliano Marvasi (M)

Department of Biology, University of Florence, Via Madonna del Piano, 50019 Firenze, Italy.

Classifications MeSH