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<b>Erratum: ANDREW D. CORSO, THOMAS DESVIGNES, JAN R. MCDOWELL, CHI-HING CHRISTINA CHENG, ELLEN E. BIESACK, DEBORAH K. STEINBERG & ERIC J. HILTON (2024) <i>Akarotaxis gouldae</i>, a new species of Antarctic dragonfish (Notothenioidei: Bathydraconidae) from the western Antarctic Peninsula. <i>Zootaxa</i>, 5501 (2): 265-290.</b>

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In Vivo Modeling of the Morbid Human Genome using Danio rerio
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Advancing human disease research with fish evolutionary mutant models.

Emily A Beck1, Hope M Healey2, Clayton M Small1

  • 1Data Science, University of Oregon, Eugene, OR 97403, USA; Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403, USA.

Trends in Genetics : TIG
|August 2, 2021
PubMed
Summary
This summary is machine-generated.

Evolutionary mutant models (EMMs) offer valuable insights into human diseases by studying naturally evolved phenotypes. Fish EMMs, in particular, provide unique models for understanding complex conditions and developing novel therapies.

Keywords:
cavefishelectric fishicefishkillifishmummichognotothenioidplatyfishsticklebackswordtailteleost

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Area of Science:

  • Evolutionary biology
  • Genetics
  • Comparative genomics

Background:

  • Traditional lab models often lack genetic diversity and disease spectrum.
  • Evolutionary mutant models (EMMs) possess evolved phenotypes mimicking human diseases.
  • EMMs offer insights into gene-environment interactions and compensatory mutations.

Purpose of the Study:

  • To review the utility of fish EMMs in understanding human disease mechanisms.
  • To highlight how evolved compensations in EMMs can inform therapeutic strategies.
  • To emphasize the role of advanced sequencing and genome editing in EMM research.

Main Methods:

  • Review of existing literature on fish EMMs and human disease research.
  • Analysis of diverse fish phenotypes and their relevance to human pathologies.
  • Integration of data from sequencing and genome-editing technologies.

Main Results:

  • Fish EMMs exhibit a wide range of phenotypes relevant to human diseases like cancer, diabetes, and aging.
  • Evolved compensatory mechanisms in fish provide potential therapeutic targets.
  • Advancements in technology enhance the application of fish EMMs.

Conclusions:

  • Fish EMMs are powerful complementary models for studying complex human diseases.
  • The study of evolved traits in fish can lead to innovative therapeutic approaches.
  • Future research leveraging fish EMMs holds significant promise for translational medicine.