Related Experiment Video
Updated: May 24, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
Published on: December 7, 2021
A unifying model for the analysis of phenotypic, genetic, and geographic data
Gilles Guillot1, Sabrina Renaud, Ronan Ledevin
1Informatics Department, Technical University of Denmark, Richard Petersens Plads, 2800 Lyngby, Denmark. gigu@im.dtu.dk
Abstract:
Recognition of evolutionary units (species, populations) requires integrating several kinds of data, such as genetic or phenotypic markers or spatial information in order to get a comprehensive view concerning the differentiation of the units. We propose a statistical model with a double original advantage: (i) it incorporates information about the spatial distribution of the samples, with the aim to increase inference power and to relate more explicitly observed patterns to geography and (ii) it allows one to analyze genetic and phenotypic data within a unified model and inference framework, thus opening the way to robust comparisons between markers and possibly combined analyses. We show from simulated data as well as real data that our method estimates parameters accurately and is an improvement over alternative approaches in many situations. The power of this method is exemplified using an intricate case of inter- and intraspecies differentiation based on an original data set of georeferenced genetic and morphometric markers obtained on Myodes voles from Sweden. A computer program is made available as an extension of the R package Geneland.
More Related Videos
08:27Large-Scale Multi-Omics Genome-Wide Association Studies (Mo-GWAS): Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
10:08Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
Published on: August 12, 2019
Related Concept Videos
Evolutionary Relationships through Genome Comparisons
Mechanistic Models: Compartment Models in Individual and Population Analysis
Selected Data About Geographic Locations
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Epistasis Analysis
Modern Molecular Taxonomy