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Related Experiment Video

Updated: Jun 4, 2026

Analysis of the Epithelial Damage Produced by Entamoeba histolytica Infection

Analysis of the Epithelial Damage Produced by Entamoeba histolytica Infection

Published on: June 12, 2014

Evolutionary genomics of Entamoeba.

Gareth D Weedall¹, Neil Hall

¹Institute of Integrative Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, UK. G.D.Weedall@liverpool.ac.uk

Research in Microbiology

|February 4, 2011

Summary

Understanding the evolutionary genomics of Entamoeba histolytica, a pathogen causing amoebic dysentery, is key to explaining its disease mechanisms. New genomic data will advance knowledge of this genus and its pathogenic species.

Area of Science:

Microbiology
Evolutionary Biology
Genomics

Background:

Entamoeba histolytica is a significant human pathogen responsible for amoebic dysentery.
The parasite causes substantial global morbidity and mortality.
Understanding its genome and evolutionary history is crucial for elucidating disease pathogenesis.

Purpose of the Study:

To review current knowledge on the evolutionary genomics of the Entamoeba genus.
To explore how genomic differences between species correlate with distinct phenotypes.
To examine population structure patterns within Entamoeba histolytica using genomic variation.

Main Methods:

Review of existing literature on Entamoeba genomics and evolution.
Comparative genomic analysis across Entamoeba species.

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Last Updated: Jun 4, 2026

Analysis of the Epithelial Damage Produced by Entamoeba histolytica Infection

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Development of a Negative Selectable Marker for Entamoeba histolytica

Development of a Negative Selectable Marker for Entamoeba histolytica

Published on: December 12, 2010

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Analysis of population genetics within Entamoeba histolytica.

Main Results:

Genomic differences among Entamoeba species likely explain variations in their phenotypes.
Genomic variation within Entamoeba histolytica populations reveals distinct population structures.
Current genomic data provides insights into the genus and its pathogenic members.

Conclusions:

Evolutionary genomics is essential for understanding Entamoeba pathogenesis.
Expanding genomic datasets will significantly enhance knowledge of Entamoeba.
Further research into Entamoeba evolutionary genomics can inform disease control strategies.