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Individual Culturing of Tigriopus Copepods and Quantitative Analysis of Their Mate-guarding Behavior06:24

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Mate-guarding behavior plays an important role in reproduction of intertidal copepods of the genus Tigriopus. However, methods for studying this behavior have not been well described. Here we describe methods for: 1) individual culture of virgin Tigriopus animals, and 2) quantitative analysis of their mate-guarding...
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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Updated: Jan 19, 2026

Individual Culturing of Tigriopus Copepods and Quantitative Analysis of Their Mate-guarding Behavior
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Individualized mating system estimation using genomic data.

Jack Colicchio1, Patrick J Monnahan1, Carolyn A Wessinger1

  • 1Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA.

Molecular Ecology Resources
|September 14, 2019
PubMed
Summary
This summary is machine-generated.

Genomic data now aids outcrossing rate estimation in species. A new Bayesian method (BORICE) accurately determines mating systems and enables further population genomic studies.

Keywords:
BORICEMimulusRAD-seqoutcrossingselfing

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Last Updated: Jan 19, 2026

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Area of Science:

  • Evolutionary biology
  • Genetics
  • Plant science

Background:

  • Estimating outcrossing rates is crucial for understanding reproductive strategies, plant breeding, and conservation.
  • Genomic approaches have been underutilized in outcrossing rate studies.

Purpose of the Study:

  • To generalize a Bayesian inference method (BORICE) for genomic data from multiple subpopulations.
  • To demonstrate the application of BORICE for individualized mating system estimation.

Main Methods:

  • Generalization of the Bayesian inference method BORICE.
  • Application to genomic data from 115 maternal families of Mimulus guttatus.
  • Low-level whole genome sequencing of parents and offspring.

Main Results:

  • BORICE successfully estimated mating systems with genomic data.
  • Individualized mating system estimation identified 88.5% outcrossed and 9.8% selfed offspring.
  • Genomic window statistics helped diagnose inversion polymorphisms and their effects.

Conclusions:

  • Low-coverage sequencing is sufficient for mating system estimation.
  • BORICE provides a foundation for population and quantitative genomic analyses.
  • This method is valuable for studies incorporating phenotypic or fitness data.