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Post-genotyping optimization of dataset formation could affect genetic diversity parameters: an example of analyses with alpine goat breeds

BACKGROUND: Local breeds retained unique genetic variability important for adaptive potential especially in light of challenges related to climate change. Our first objective was to perform, for the first time, a genome-wide diversity characterization using Illumina GoatSNP50 BeadChip of autochthono...

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Autores principales: Pogorevc, Neža, Simčič, Mojca, Khayatzadeh, Negar, Sölkner, Johann, Berger, Beate, Bojkovski, Danijela, Zorc, Minja, Dovč, Peter, Medugorac, Ivica, Horvat, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285797/
https://www.ncbi.nlm.nih.gov/pubmed/34273960
http://dx.doi.org/10.1186/s12864-021-07802-z
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author Pogorevc, Neža
Simčič, Mojca
Khayatzadeh, Negar
Sölkner, Johann
Berger, Beate
Bojkovski, Danijela
Zorc, Minja
Dovč, Peter
Medugorac, Ivica
Horvat, Simon
author_facet Pogorevc, Neža
Simčič, Mojca
Khayatzadeh, Negar
Sölkner, Johann
Berger, Beate
Bojkovski, Danijela
Zorc, Minja
Dovč, Peter
Medugorac, Ivica
Horvat, Simon
author_sort Pogorevc, Neža
collection PubMed
description BACKGROUND: Local breeds retained unique genetic variability important for adaptive potential especially in light of challenges related to climate change. Our first objective was to perform, for the first time, a genome-wide diversity characterization using Illumina GoatSNP50 BeadChip of autochthonous Drežnica goat breed from Slovenia, and five and one local breeds from neighboring Austria and Italy, respectively. For optimal conservation and breeding programs of endangered local breeds, it is important to detect past admixture events and strive for preservation of purebred representatives of each breed with low or without admixture. In the second objective, we hence investigated the effect of inclusion or exclusion of outliers from datasets on genetic diversity and population structure parameters. RESULTS: Distinct genetic origin of the Drežnica goat was demonstrated as having closest nodes to Austrian and Italian breeds. A phylogenetic study of these breeds with other goat breeds having SNP data available in the DRYAD repository positioned them in the alpine, European and global context. Swiss breeds clustered with cosmopolitan alpine breeds and were closer to French and Spanish breeds. On the other hand, the Drežnica goat, Austrian and Italian breeds were closer to Turkish breeds. Datasets where outliers were excluded affected estimates of genetic diversity parameters within the breed and increased the pairwise genetic distances between most of the breeds. Alpine breeds, including Drežnica, Austrian and Italian goats analyzed here, still exhibit relatively high levels of genetic variability, homogeneous genetic structure and strong geographical partitioning. CONCLUSIONS: Genetic diversity analyses revealed that the Slovenian Drežnica goat has a distinct genetic identity and is closely related to the neighboring Austrian and Italian alpine breeds. These results expand our knowledge on phylogeny of goat breeds from easternmost part of the European Alps. The here employed outlier test and datasets optimization approaches provided an objective and statistically powerful tool for removal of admixed outliers. Importance of this test in selecting the representatives of each breed is warranted to obtain more objective diversity parameters and phylogenetic analysis. Such parameters are often the basis of breeding and management programs and are therefore important for preserving genetic variability and uniqueness of local rare breeds. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07802-z.
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spelling pubmed-82857972021-07-19 Post-genotyping optimization of dataset formation could affect genetic diversity parameters: an example of analyses with alpine goat breeds Pogorevc, Neža Simčič, Mojca Khayatzadeh, Negar Sölkner, Johann Berger, Beate Bojkovski, Danijela Zorc, Minja Dovč, Peter Medugorac, Ivica Horvat, Simon BMC Genomics Research Article BACKGROUND: Local breeds retained unique genetic variability important for adaptive potential especially in light of challenges related to climate change. Our first objective was to perform, for the first time, a genome-wide diversity characterization using Illumina GoatSNP50 BeadChip of autochthonous Drežnica goat breed from Slovenia, and five and one local breeds from neighboring Austria and Italy, respectively. For optimal conservation and breeding programs of endangered local breeds, it is important to detect past admixture events and strive for preservation of purebred representatives of each breed with low or without admixture. In the second objective, we hence investigated the effect of inclusion or exclusion of outliers from datasets on genetic diversity and population structure parameters. RESULTS: Distinct genetic origin of the Drežnica goat was demonstrated as having closest nodes to Austrian and Italian breeds. A phylogenetic study of these breeds with other goat breeds having SNP data available in the DRYAD repository positioned them in the alpine, European and global context. Swiss breeds clustered with cosmopolitan alpine breeds and were closer to French and Spanish breeds. On the other hand, the Drežnica goat, Austrian and Italian breeds were closer to Turkish breeds. Datasets where outliers were excluded affected estimates of genetic diversity parameters within the breed and increased the pairwise genetic distances between most of the breeds. Alpine breeds, including Drežnica, Austrian and Italian goats analyzed here, still exhibit relatively high levels of genetic variability, homogeneous genetic structure and strong geographical partitioning. CONCLUSIONS: Genetic diversity analyses revealed that the Slovenian Drežnica goat has a distinct genetic identity and is closely related to the neighboring Austrian and Italian alpine breeds. These results expand our knowledge on phylogeny of goat breeds from easternmost part of the European Alps. The here employed outlier test and datasets optimization approaches provided an objective and statistically powerful tool for removal of admixed outliers. Importance of this test in selecting the representatives of each breed is warranted to obtain more objective diversity parameters and phylogenetic analysis. Such parameters are often the basis of breeding and management programs and are therefore important for preserving genetic variability and uniqueness of local rare breeds. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07802-z. BioMed Central 2021-07-17 /pmc/articles/PMC8285797/ /pubmed/34273960 http://dx.doi.org/10.1186/s12864-021-07802-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Pogorevc, Neža
Simčič, Mojca
Khayatzadeh, Negar
Sölkner, Johann
Berger, Beate
Bojkovski, Danijela
Zorc, Minja
Dovč, Peter
Medugorac, Ivica
Horvat, Simon
Post-genotyping optimization of dataset formation could affect genetic diversity parameters: an example of analyses with alpine goat breeds
title Post-genotyping optimization of dataset formation could affect genetic diversity parameters: an example of analyses with alpine goat breeds
title_full Post-genotyping optimization of dataset formation could affect genetic diversity parameters: an example of analyses with alpine goat breeds
title_fullStr Post-genotyping optimization of dataset formation could affect genetic diversity parameters: an example of analyses with alpine goat breeds
title_full_unstemmed Post-genotyping optimization of dataset formation could affect genetic diversity parameters: an example of analyses with alpine goat breeds
title_short Post-genotyping optimization of dataset formation could affect genetic diversity parameters: an example of analyses with alpine goat breeds
title_sort post-genotyping optimization of dataset formation could affect genetic diversity parameters: an example of analyses with alpine goat breeds
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285797/
https://www.ncbi.nlm.nih.gov/pubmed/34273960
http://dx.doi.org/10.1186/s12864-021-07802-z
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