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Owl Monkey Alu Insertion Polymorphisms and Aotus Phylogenetics.

Jessica M Storer1,2, Jerilyn A Walker1, Lydia C Rewerts1

  • 1Department of Biological Sciences, Louisiana State University, 202 Life Sciences Building, Baton Rouge, LA 70803, USA.

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|November 11, 2022
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Summary
This summary is machine-generated.

This study uses mobile element insertions, known as Alu retrotransposons, to analyze owl monkey (Aotus) evolutionary relationships. Findings support new classifications for Aotus species based on genetic data, aiding conservation efforts.

Keywords:
AluAotidaeAotusPlatyrrhiniowl monkeyphylogeny

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Area of Science:

  • Primate evolutionary biology
  • Molecular genetics
  • Genomics

Background:

  • Owl monkeys (Aotus) taxonomy has been debated, with traditional classifications based on pelage coloration challenged by recent geographical and genetic studies.
  • Mobile element insertions, specifically Alu retrotransposons, are valuable markers for investigating primate phylogenetics due to their ancient origins and widespread distribution.

Purpose of the Study:

  • To utilize Alu retrotransposon insertion polymorphisms to reconstruct the evolutionary history of the Aotus genus.
  • To provide genetic markers for species identification and population genetics studies within Aotus.

Main Methods:

  • Genome-wide identification of young lineage-specific Alu insertions in Aotus nancymaae.
  • Design of locus-specific PCR assays for over 1350 Alu elements.
  • PCR analysis of 314 Alu elements across four Aotus taxa to identify insertion polymorphisms.
  • DNA sequencing to identify novel Alu elements.

Main Results:

  • Identified 159 Alu insertion polymorphisms across four Aotus taxa.
  • Genetic data revealed A. nancymaae and A. azarae (red-necked) as sister taxa, with A. vociferans and A. trivirgatus (gray-necked) as more basal.
  • Discovered five novel Alu elements from three different taxa.

Conclusions:

  • Alu retrotransposons provide a robust tool for resolving Aotus phylogenetics and clarifying species relationships.
  • The generated Alu datasets are crucial for future Aotus species identification, population genetics, and conservation strategies.