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Related Concept Videos

Operon Model01:23

Operon Model

The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...
Growth Models with Integration: Problem Solving01:27

Growth Models with Integration: Problem Solving

In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
Metabolism of Chemolithotrophs01:15

Metabolism of Chemolithotrophs

Chemolithotrophs are microorganisms that obtain energy by oxidizing inorganic molecules such as hydrogen gas (H₂), ammonia (NH₃), reduced sulfur compounds (H₂S, S²⁻), and ferrous iron (Fe²⁺). Unlike heterotrophic organisms that rely on organic carbon, chemolithotrophs transfer electrons from these inorganic donors to the electron transport chain (ETC), generating a proton motive force (PMF) that drives ATP synthesis through oxidative phosphorylation. However, because inorganic electron donors...
Osmoregulation in Fishes02:32

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When cells are placed in a hypotonic (low-salt) fluid, they can swell and burst. Meanwhile, cells in a hypertonic solution—with a higher salt concentration—can shrivel and die. How do fish cells avoid these gruesome fates in hypotonic freshwater or hypertonic seawater environments?

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Related Experiment Video

Updated: Jun 6, 2026

High Throughput Danio Rerio Energy Expenditure Assay
08:35

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Published on: January 27, 2016

Constructing a fish metabolic network model.

Shuzhao Li1, Alexander Pozhitkov, Rachel A Ryan

  • 1Gulf Coast Research Laboratory, Department of Coastal Sciences, University of Southern Mississippi, 703 East Beach Drive, Ocean Springs, MS 39564, USA. shuzhao.li@gmail.com

Genome Biology
|December 1, 2010
PubMed
Summary
This summary is machine-generated.

We developed MetaFishNet, a genome-wide fish metabolic network model, to analyze gene expression data. This tool advances fish systems biology and aids in comparative metabolism studies.

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Area of Science:

  • Metabolic network modeling
  • Systems biology
  • Bioinformatics

Background:

  • Understanding fish metabolism is crucial for aquaculture and ecological studies.
  • High-throughput gene expression data requires robust analytical frameworks.
  • Existing models may not fully capture the complexity of fish metabolic pathways.

Purpose of the Study:

  • To construct a comprehensive genome-wide metabolic network model for fish.
  • To apply the model for the analysis of high-throughput gene expression data.
  • To provide a resource for advancing fish systems biology research.

Main Methods:

  • Genome-wide metabolic network reconstruction.
  • Integration and analysis of gene expression datasets.
  • Development of a pathway enrichment analysis tool.

Main Results:

  • Successful construction of MetaFishNet, a genome-wide fish metabolic network model.
  • Demonstrated application of MetaFishNet in analyzing gene expression data.
  • Development of an accessible online pathway enrichment analysis tool.

Conclusions:

  • MetaFishNet serves as a foundational resource for fish systems biology.
  • The model facilitates the integration of multi-omics data for deeper biological insights.
  • MetaFishNet supports comparative metabolism studies and guides future research design.