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Inference of individual ploidy level using codominant markers.

Kang Huang1, Derek W Dunn1, Zhonghu Li1

  • 1Shaanxi Key Laboratory for Animal Conservation, College of Life Sciences, Northwest University, Xi'an, China.

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|May 10, 2019
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Summary

This study introduces a new method to determine plant ploidy levels using genetic markers. The ploidyinfer software simplifies polyploid identification, aiding plant breeding and research.

Keywords:
allele frequency estimationexpectation-maximization algorithmmaximum-likelihoodnull allelesploidy assignment

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Area of Science:

  • Plant genetics
  • Genomics
  • Evolutionary biology

Background:

  • Polyploidy, having multiple sets of chromosomes, is common in plants but challenging to study.
  • Existing methods for determining ploidy are often time-consuming and labor-intensive.

Purpose of the Study:

  • To develop a novel computational model for estimating allele frequencies and inferring individual plant ploidy levels.
  • To create a user-friendly software package for accessible polyploid identification.

Main Methods:

  • Developed a model based on genotypic probabilities for polysomic inheritance under double-reduction.
  • Utilized an expectation-maximization algorithm to estimate allele frequencies, accounting for various genetic complexities.
  • Employed posterior probabilities to assign individuals to specific ploidy levels.

Main Results:

  • Successfully inferred ploidy status from allelic phenotypes of codominant genetic markers.
  • Evaluated the accuracy of the developed method under diverse conditions.
  • Made the method freely available as the ploidyinfer software package.

Conclusions:

  • The new method provides an efficient and accurate way to determine plant ploidy.
  • The ploidyinfer software facilitates broader research and application in plant genetics.
  • This approach simplifies the study of polyploidy in various plant species.