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A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
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JML: testing hybridization from species trees.

Simon Joly1

  • 1Institut de recherche en biologie végétale, Université de Montréal and Jardin botanique de Montréal, 4101 Sherbrooke Est, Montréal, Quebec, Canada. simon.joly@umontreal.ca

Molecular Ecology Resources
|September 9, 2011
PubMed
Summary
This summary is machine-generated.

The new JML software aids in detecting hybridization in multispecies sequence data. It uses posterior predictive checking to identify genetic evidence of hybridization, improving upon previous methods.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Evolutionary Biology

Background:

  • Hybridization is a significant evolutionary process.
  • Previous methods for detecting hybridization were difficult to apply due to a lack of software.
  • The Joly, McLenachan, and Lockhart (2009) method offered a potential solution but required dedicated software.

Purpose of the Study:

  • To introduce the JML software for detecting hybridization in multispecies sequence data.
  • To provide an accessible tool for applying the Joly, McLenachan, and Lockhart (2009) method.
  • To enhance the method by incorporating uncertainty in species tree topology.

Main Methods:

  • The JML software simulates replicate sequence data sets using a posterior distribution of species trees, population sizes, and branch lengths under a coalescent model with no migration.
  • A test quantity, the minimum pairwise sequence distance between sequences of two species, is calculated on simulated and original data.
  • Departure from the bifurcating species tree model, indicated by the test quantity, suggests hybridization.

Main Results:

  • The JML software facilitates the application of a previously complex hybridization detection method.
  • The software incorporates improvements, including the ability to handle uncertainty in species tree topology.
  • Software performance, specifically computing time, was evaluated across various parameters.
  • An example application demonstrated the software's utility in detecting hybridization in North American roses.

Conclusions:

  • The JML software effectively addresses the need for user-friendly hybridization detection in population genetics.
  • It provides a valuable tool for evolutionary biologists studying gene flow and hybridization.
  • The software's application to North American roses highlights its practical utility in real-world research scenarios.