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Xenolog classification.

Charlotte A Darby1, Maureen Stolzer1, Patrick J Ropp1

  • 1Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

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|December 22, 2016
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Summary
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A new xenolog classification framework aids comparative genomics by categorizing gene pairs based on horizontal gene transfer events. This system distinguishes xenologs, improving our understanding of gene evolution and function prediction.

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Area of Science:

  • Comparative genomics
  • Evolutionary biology
  • Bioinformatics

Background:

  • Orthology analysis is crucial for comparative genomics, with established methods for orthologs and paralogs.
  • A gap exists in classifying xenologs, which are gene pairs with a history of horizontal gene transfer.
  • The diverse nature of xenologs necessitates a standardized classification system.

Purpose of the Study:

  • To develop a novel classification framework for xenologs.
  • To categorize xenologs based on their evolutionary history, including duplication and horizontal transfer events.
  • To establish a system that distinguishes between different types of xenolog relationships.

Main Methods:

  • Phylogenetic reconciliation was employed to classify gene pairs.
  • Formal rules were developed to assign gene pairs to xenolog classes based on reconciled gene trees.
  • The classification system was implemented in the Notung 2.9 software package.

Main Results:

  • A new xenolog classification system was successfully developed and implemented.
  • The system distinguishes between genes transferred alone versus those transferred after duplication.
  • The classification differentiates based on the relatedness of genes and species, and was tested on ~13,000 prokaryotic gene families.

Conclusions:

  • The developed xenolog classification provides a much-needed framework for understanding gene evolution.
  • This classification aids in predicting gene function by providing evolutionary context.
  • The Notung 2.9 software package makes these classification rules accessible to researchers.