ArticleEcology and evolution2019
Dissimilarity of individual microsatellite profiles under different mutation models: Empirical approach.
Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 33 citations in OpenAlex.
- Genetic and Environmentally Induced Scalation Variation in Bisexual and Parthenogenetic Lizards.Biology · 2026Article
- Effective number of different populations: A new concept and how to use it.Ecology and evolution · 2024Article
- Development of microsatellite markers for the soft tick Ornithodoros phacochoerus.Parasites & vectors · 2024Article
- Genetic Variation ofJournal of fungi (Basel, Switzerland) · 2023Article
- Untangling the hedge: Genetic diversity in clonally and sexually transmitted genomes of European wild roses, Rosa L.PloS one · 2023Article
- Genetic Diversity and Population Dynamics ofAnimals : an open access journal from MDPI · 2021Article
- Severe limitations of the FEve metric of functional evenness and some alternative metrics.Ecology and evolution · 2021Article
- Measuring similarity between gene interaction profiles.BMC bioinformatics · 2019Article
- Dissimilarity of individual microsatellite profiles under different mutation models: Empirical approach.Ecology and evolution · 2019Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microsatellites (simple sequence repeats, SSRs) still remain popular molecular markers for studying neutral genetic variation. Two alternative models outline how new microsatellite alleles evolve. Infinite alleles model (IAM) assumes that all possible alleles are equally likely to result from a mutation, while stepwise mutation model (SMM) describes microsatellite evolution as stepwise adding or subtracting single repeat units. Genetic relationships between individuals can be analyzed in higher precision when assuming the SMM scenario with allele size differences as a proxy of genetic distance. If population structure is not predetermined in advance, an empirical data analysis usually includes (a) estimating proximity between individual SSR profiles with a selected dissimilarity measure and (b) determining putative genetic structure of a given set of individuals using methods of clustering and/or ordination for the obtained dissimilarity matrix. We developed new dissimilarity indices between SSR profiles of haploid, diploid, or polyploid organisms assuming different mutation models and compared the performance of these indices for determining genetic structure with population data and with simulations. More specifically, we compared SMM with a constant or variable mutation rate at different SSR loci to IAM using data from natural populations of a freshwater bryozoan
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