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Examination of Thymic Positive and Negative Selection by Flow Cytometry
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Positive selection on human gamete-recognition genes.

Michael W Hart1, Daryn A Stover2, Vanessa Guerra1

  • 1Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

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|January 18, 2018
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Summary
This summary is machine-generated.

Genes involved in sperm-egg binding evolve under selection, influencing reproductive compatibility and speciation. Specific gene variants correlate with family size, suggesting roles in human fertility and infertility.

Keywords:
Balancing selectionEpistasisFertilizationLinkage disequilibriumZona pellucida

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Area of Science:

  • Evolutionary Biology
  • Reproductive Biology
  • Human Genetics

Background:

  • Gene coevolution in sperm and egg proteins drives reproductive compatibility and isolation.
  • Previous research focused on positive selection in zona pellucida (ZP) genes for sperm-binding proteins.

Purpose of the Study:

  • Investigate selection pressures on genes involved in sperm-egg interactions.
  • Identify candidate genes and sites under selection using human population data.
  • Explore the link between genetic variation and reproductive success.

Main Methods:

  • Phylogenetic models of codon evolution applied to 1000 Genomes Project data.
  • Population genetic models to analyze selection hypotheses.
  • Analysis of Hutterite population data for correlations with family size and birth rate.

Main Results:

  • Diversifying selection identified in human ZP3 and ZP2 genes.
  • Positive selection detected in C4BPA, a gene encoding a sperm-binding protein.
  • No selection found in ZP1, a structural egg coat protein.
  • Candidate sites in C4BPA and ZP2 correlated with family size and birth rate in Hutterites.
  • These sites were in linkage disequilibrium in the Hutterite population.

Conclusions:

  • Evidence supports balancing selection on epistatic interactions between C4BPA and ZP3.
  • Coevolution of sperm- and egg-expressed genes is driven by selection.
  • Identified molecular traits may underlie natural reproductive variation and clinical infertility.