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Related Concept Videos

Metabolic Rate01:25

Metabolic Rate

The human body is a powerhouse of energy, with every cell performing numerous functions that require energy. This energy production and consumption is measured by the metabolic rate, which quantifies the total heat generated by all the body's chemical reactions and mechanical work. This measurement helps to determine the rate of kilocalorie (kcal) consumption needed to fuel all ongoing activities.
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Metabolic Analysis of Drosophila melanogaster Larval and Adult Brains
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metaTIGER: a metabolic evolution resource.

John W Whitaker1, Ivica Letunic, Glenn A McConkey

  • 1Institute of Molecular and Cellular Biology, Garstang Building, University of Leeds, Leeds, W. Yorks, LS2 9JT, UK.

Nucleic Acids Research
|October 28, 2008
PubMed
Summary
This summary is machine-generated.

metaTIGER provides a new phylogenomic database for eukaryotic metabolism, integrating genomic data from over 500 organisms. This resource aids in studying evolution and horizontal gene transfer (HGT) events in metabolic networks.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Evolutionary Biology

Background:

  • Metabolic networks are crucial but lack comprehensive phylogenetic data in existing resources.
  • Phylogenomic approaches are effective for studying evolution and horizontal gene transfer (HGT).

Purpose of the Study:

  • To address the lack of phylogenomic information for eukaryotic metabolism.
  • To create metaTIGER, a database integrating genomic data and phylogenetic analysis of metabolic enzymes.

Main Methods:

  • Utilized genomic data from 121 eukaryotes and 404 prokaryotes.
  • Employed sensitive sequence search techniques to predict metabolic enzymes.
  • Constructed 2257 maximum-likelihood phylogenetic trees and developed analysis tools.

Main Results:

  • Created a comprehensive database of phylogenetic trees for metabolic enzymes.
  • Enabled visualization and analysis of large phylogenetic trees using iTOL.
  • Facilitated identification of potential HGT events and comparison of metabolic networks.

Conclusions:

  • metaTIGER enhances the study of eukaryotic metabolic evolution and HGT.
  • The database provides novel tools for analyzing and comparing metabolic networks across diverse organisms.
  • Demonstrated utility through evolutionary analysis of Plasmodium, identifying potential chlamydial gene transfer.