Landscape Genetics for Brazilian Equines.
Abstract: Optimization of DNA collection for National gene bank and conservation programs requires information on spatial and genetic distribution of animals countrywide. The relationship between genetic and geographic distances were examined in 8 Brazilian horse breeds (Baixadeiro, Crioulo, Campeiro, Lavradeiro, Marajoara, Mangalarga Marchador, Pantaneiro and Puruca) using Single Nucleotide Polymorphism markers and collection point locations. Mantel correlations, Genetic Landscape Shape Interpolation, Allelic Aggregation Index Analyses and Spatial autocorrelation tests indicated a nonrandom distribution of horses throughout the country. Minimum collection distances for the national Gene Bank should be 530km, with clear divisions seen in genetic structure of horse populations in both North/South and East/West directions. Comparing Pantaneiro and North/Northeastern breeds, physical distance is not necessarily the defining factor for genetic differentiation. This should be considered when sampling these local breeds. These data can help optimise GenBank collection routines and conservation strategies for these breeds.
Copyright © 2023 Elsevier Inc. All rights reserved.
Publication Date: 2023-02-15 PubMed ID: 36796740DOI: 10.1016/j.jevs.2023.104251Google Scholar: Lookup
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Summary
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This research study explores the relationship between genetic and geographic distances in eight different Brazilian horse breeds. The goal is to optimize DNA collection for a national gene bank and conservation programs. The research results suggest that a minimum distance of 530 kilometers is necessary for genetic diversity in the horse samples.
Study Methodology
- The study examined eight Brazilian horse breeds: Baixadeiro, Crioulo, Campeiro, Lavradeiro, Marajoara, Mangalarga Marchador, Pantaneiro and Puruca.
- Genetic analysis was performed using Single Nucleotide Polymorphism (SNP) markers. SNP markers identify variation occurring at a single position in the DNA sequence among individuals.
- The geographical location of each horse was also recorded, enabling researchers to explore the link between the horses’ physical location and their genetic makeup.
Results and Findings
- An array of tests were conducted including Mantel correlations, Genetic Landscape Shape Interpolation, Allelic Aggregation Index Analyses and Spatial autocorrelation tests. These tests revealed a nonrandom distribution of horses throughout Brazil. This implies that the spatial distribution of these horse breeds is influenced by their genetic composition.
- The study indicated a minimum collection distance of 530 kilometers for the National Gene Bank. This means that to capture enough genetic diversity from the horse breeds, horses should be sampled at least 530 kilometers apart.
- The researchers also observed noticeable divisions in the genetic structure of horse populations depending on their geographical location. The study points to different genetic compositions in North/South and East/West directions.
- When comparing Pantaneiro with North/Northeastern breeds, the study found that physical distance was not the only factor responsible for genetic differentiation. Other factors may play a role, a valuable insight to consider when sampling these local breeds.
Applications and Implications
- The findings can be utilized to optimize gene bank collection routines. By understanding the spatial and genetic distribution of the horse breeds, collections can be more strategically conducted to ensure as much genetic diversity as possible is captured.
- The findings also inform conservation strategies for these breeds. Efforts can be made to maintain genetic diversity, for example by avoiding inbreeding within a small geographic area.
- The observed genetic differences between the horse breeds based on geographical boundaries could also be valuable for studying the effects of geographical isolation and physical barriers on genetic diversity.
Cite This Article
APA
Pimentel F, McManus C, Soares K, Caetano AR, de Faria DA, Paiva SR, Ianella P.
(2023).
Landscape Genetics for Brazilian Equines.
J Equine Vet Sci, 126, 104251.
https://doi.org/10.1016/j.jevs.2023.104251 Publication
Researcher Affiliations
- CEUB, Campus Universitário Asa Norte, Brasília, DF, Brasil.
- Departamento de Ciências Fisiológicas, Instituto de Biologia, Campus Darcy Ribeiro, Universidade de Brasilia, Asa Norte, Brasilia, DF, Brasil. Electronic address: concepta@un.br.
- Faculdade de Agronomia e Medicina Veterinária, Instituto Central de Ciências, Campus Darcy Ribeiro, Universidade de Brasília, Asa Norte, Brasilia, DF, Brasil.
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, DF, Brasil.
- Faculdade de Agronomia e Medicina Veterinária, Instituto Central de Ciências, Campus Darcy Ribeiro, Universidade de Brasília, Asa Norte, Brasilia, DF, Brasil.
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, DF, Brasil.
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, DF, Brasil.
MeSH Terms
- Animals
- Horses / genetics
- Genetic Variation / genetics
- Brazil
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