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Speciation Rates

Speciation Rates

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Related Experiment Video

Updated: May 30, 2025

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves

Published on: December 2, 2016

Spatially explicit estimation of recent migration rates in plants using genotypic data.

Igor J Chybicki¹, Juan J Robledo-Arnuncio²

¹Department of Genetics, Kazimierz Wielki University, Chodkiewicza 30, 85064 Bydgoszcz, Poland.

|January 28, 2025

Summary

This study introduces a new Bayesian method to estimate seed and pollen migration rates using genetic data. The approach accurately infers migration patterns and spatial effects, even with limited sample sizes.

Keywords:

Taxus baccata gene flow isolation by distance seed and pollen dispersal zygotic and gametic migration

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Last Updated: May 30, 2025

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves

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Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

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Published on: August 5, 2020

Area of Science:

Population Genetics
Conservation Genetics
Bioinformatics

Background:

Estimating recent migration rates is crucial for understanding population dynamics and designing conservation strategies.
Existing methods often struggle to disentangle seed and pollen dispersal or account for spatial effects accurately.

Purpose of the Study:

To develop a novel hierarchical Bayesian method for estimating recent seed and pollen migration rates in a spatially explicit framework.
To simultaneously infer population genetic parameters, including allele frequencies, divergence, inbreeding coefficients, ancestries, and allelic dropout rates.

Main Methods:

A hierarchical Bayesian model utilizing multilocus genotypes.
Incorporation of distance effects separately for seed and pollen dispersal.
Numerical simulation analysis to assess method performance and required sample sizes.

Main Results:

The method provides reliable estimates of seed and pollen migration rates and spatial effects on migration.
Accurate inference is achievable with 25-50 individuals/population for FST≥0.05, or 100 individuals/population for FST=0.025.
SNP assays with ~1000 loci approach theoretical maximum accuracy for migration inference.

Conclusions:

The developed method offers a robust tool for estimating contemporary migration patterns in plant populations.
Application to Taxus baccata revealed low but significant gene flow, with distance negatively impacting pollen migration.
The findings highlight the importance of spatial scale in understanding plant population connectivity.