Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

41
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
41

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

MOREshiny: a user-friendly application for the inference of phenotype-specific multi-omic regulatory networks.

Bioinformatics advances·2026
Same author

Evaluating Sustainable Feed Alternatives in <i>Sparus aurata</i>: How Alternative Proteins and Oils Maintain EPA+DHA Content and Improve Human Health Lipid Indices.

Foods (Basel, Switzerland)·2026
Same author

From Brewery Waste to Sustainable Aquafeed: Harnessing <i>Nannochloropsis</i> Microalgae for Fishmeal-Free Gilthead Sea Bream Diets.

Aquaculture nutrition·2026
Same author

Sea Lice (Lepeophtheirus salmonis) Harbour Putative Fish Pathogens: Insights From Illumina and Nanopore Sequencing.

Journal of fish diseases·2026
Same author

Autochthonous and Allochthonous Gut Microbes May Work Together: Functional Insights from Farmed Gilthead Sea Bream (<i>Sparus aurata</i>).

Animals : an open access journal from MDPI·2026
Same author

PD-1 Expression Promotes Immune Evasion in B-ALL.

Hematology reports·2025

Related Experiment Video

Updated: Jul 18, 2025

Unraveling the Unseen Players in the Ocean - A Field Guide to Water Chemistry and Marine Microbiology
10:43

Unraveling the Unseen Players in the Ocean - A Field Guide to Water Chemistry and Marine Microbiology

Published on: November 5, 2014

25.7K

SAMBA: Structure-Learning of Aquaculture Microbiomes Using a Bayesian Approach.

Beatriz Soriano1,2,3, Ahmed Ibrahem Hafez2, Fernando Naya-Català1

  • 1Institute of Aquaculture Torre de la Sal (IATS), Consejo Superior de Investigaciones Científicas (CSIC), 12595 Ribera de Cabanes, Spain.

Genes
|August 26, 2023
PubMed
Summary

We developed SAMBA, a Bayesian network tool to model fish gut microbiome interactions. This computational approach helps understand how aquaculture conditions impact microbial communities and predict future changes.

Keywords:
Bayesian networksfarmed fishgilthead sea breammachine learningmetagenomics

More Related Videos

An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis
08:09

An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis

Published on: September 15, 2015

8.8K
Author Spotlight: Developing Synthetic Microbial Communities for Generating Second-Generation Biofertilizers
04:29

Author Spotlight: Developing Synthetic Microbial Communities for Generating Second-Generation Biofertilizers

Published on: May 24, 2024

847

Related Experiment Videos

Last Updated: Jul 18, 2025

Unraveling the Unseen Players in the Ocean - A Field Guide to Water Chemistry and Marine Microbiology
10:43

Unraveling the Unseen Players in the Ocean - A Field Guide to Water Chemistry and Marine Microbiology

Published on: November 5, 2014

25.7K
An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis
08:09

An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis

Published on: September 15, 2015

8.8K
Author Spotlight: Developing Synthetic Microbial Communities for Generating Second-Generation Biofertilizers
04:29

Author Spotlight: Developing Synthetic Microbial Communities for Generating Second-Generation Biofertilizers

Published on: May 24, 2024

847

Area of Science:

  • Microbiome research
  • Computational biology
  • Aquaculture science

Background:

  • Fish gut microbiomes are complex systems with thousands of interacting bacterial taxa.
  • Understanding the hierarchy of interactions between microbiomes, environment, and hosts is crucial but limited.
  • Aquaculture systems present unique biotic and abiotic factors influencing these microbial communities.

Purpose of the Study:

  • To introduce SAMBA (Structure-Learning of Aquaculture Microbiomes using a Bayesian Approach), a novel computational tool.
  • To model the network structure of fish gut microbiomes and their interactions with aquaculture variables.
  • To infer the influence of farming conditions on microbiome diversity and predict future microbiome profiles.

Main Methods:

  • Utilized a unified Bayesian network approach for network structure modeling.
  • Integrated microbial abundance data (16S rRNA amplicons) with farming condition data (continuous and categorical).
  • Developed SAMBA for creating, training, visualizing, and exporting network models.

Main Results:

  • Demonstrated SAMBA's capability using a microbial synthetic community.
  • Applied SAMBA to model the pan-microbiome of gilthead sea bream (Sparus aurata) under different feeding trials.
  • Validated the tool's effectiveness in inferring and predicting microbiome responses.

Conclusions:

  • SAMBA provides a robust framework for analyzing complex microbiome-host interactions.
  • The tool is applicable beyond aquaculture, extending to any vertebrate organism and ecosystem.
  • SAMBA facilitates a deeper understanding of microbiome dynamics and their environmental drivers.