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Development of a SNP-based assay for measuring genetic diversity in the Tasmanian devil insurance population

BACKGROUND: The Tasmanian devil (Sarcophilus harrisii) has undergone a recent, drastic population decline due to the highly contagious devil facial tumor disease. The tumor is one of only two naturally occurring transmissible cancers and is almost inevitably fatal. In 2006 a disease-free insurance p...

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Autores principales: Wright, Belinda, Morris, Katrina, Grueber, Catherine E., Willet, Cali E., Gooley, Rebecca, Hogg, Carolyn J., O’Meally, Denis, Hamede, Rodrigo, Jones, Menna, Wade, Claire, Belov, Katherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4607143/
https://www.ncbi.nlm.nih.gov/pubmed/26467759
http://dx.doi.org/10.1186/s12864-015-2020-4
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author Wright, Belinda
Morris, Katrina
Grueber, Catherine E.
Willet, Cali E.
Gooley, Rebecca
Hogg, Carolyn J.
O’Meally, Denis
Hamede, Rodrigo
Jones, Menna
Wade, Claire
Belov, Katherine
author_facet Wright, Belinda
Morris, Katrina
Grueber, Catherine E.
Willet, Cali E.
Gooley, Rebecca
Hogg, Carolyn J.
O’Meally, Denis
Hamede, Rodrigo
Jones, Menna
Wade, Claire
Belov, Katherine
author_sort Wright, Belinda
collection PubMed
description BACKGROUND: The Tasmanian devil (Sarcophilus harrisii) has undergone a recent, drastic population decline due to the highly contagious devil facial tumor disease. The tumor is one of only two naturally occurring transmissible cancers and is almost inevitably fatal. In 2006 a disease-free insurance population was established to ensure that the Tasmanian devil is protected from extinction. The insurance program is dependent upon preserving as much wild genetic diversity as possible to maximize the success of subsequent reintroductions to the wild. Accurate genotypic data is vital to the success of the program to ensure that loss of genetic diversity does not occur in captivity. Until recently, microsatellite markers have been used to study devil population genetics, however as genetic diversity is low in the devil and potentially decreasing in the captive population, a more sensitive genotyping assay is required. METHODS: Utilising the devil reference genome and whole genome re-sequencing data, we have identified polymorphic regions for use in a custom genotyping assay. These regions were amplified using PCR and sequenced on the Illumina MiSeq platform to refine a set a markers to genotype the Tasmanian devil insurance population. RESULTS: We have developed a set of single nucleotide polymorphic (SNP) markers, assayed by amplicon sequencing, that provide a high-throughput method for monitoring genetic diversity and assessing familial relationships among devils. To date we have used a total of 267 unique SNPs within both putatively neutral and functional loci to genotype 305 individuals in the Tasmanian devil insurance population. We have used these data to assess genetic diversity in the population as well as resolve the parentage of 21 offspring. CONCLUSIONS: Our molecular data has been incorporated with studbook management practices to provide more accurate pedigree information and to inform breeding recommendations. The assay will continue to be used to monitor the genetic diversity of the insurance population of Tasmanian devils with the aim of reducing inbreeding and maximizing success of reintroductions to the wild. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2020-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-46071432015-10-16 Development of a SNP-based assay for measuring genetic diversity in the Tasmanian devil insurance population Wright, Belinda Morris, Katrina Grueber, Catherine E. Willet, Cali E. Gooley, Rebecca Hogg, Carolyn J. O’Meally, Denis Hamede, Rodrigo Jones, Menna Wade, Claire Belov, Katherine BMC Genomics Research Article BACKGROUND: The Tasmanian devil (Sarcophilus harrisii) has undergone a recent, drastic population decline due to the highly contagious devil facial tumor disease. The tumor is one of only two naturally occurring transmissible cancers and is almost inevitably fatal. In 2006 a disease-free insurance population was established to ensure that the Tasmanian devil is protected from extinction. The insurance program is dependent upon preserving as much wild genetic diversity as possible to maximize the success of subsequent reintroductions to the wild. Accurate genotypic data is vital to the success of the program to ensure that loss of genetic diversity does not occur in captivity. Until recently, microsatellite markers have been used to study devil population genetics, however as genetic diversity is low in the devil and potentially decreasing in the captive population, a more sensitive genotyping assay is required. METHODS: Utilising the devil reference genome and whole genome re-sequencing data, we have identified polymorphic regions for use in a custom genotyping assay. These regions were amplified using PCR and sequenced on the Illumina MiSeq platform to refine a set a markers to genotype the Tasmanian devil insurance population. RESULTS: We have developed a set of single nucleotide polymorphic (SNP) markers, assayed by amplicon sequencing, that provide a high-throughput method for monitoring genetic diversity and assessing familial relationships among devils. To date we have used a total of 267 unique SNPs within both putatively neutral and functional loci to genotype 305 individuals in the Tasmanian devil insurance population. We have used these data to assess genetic diversity in the population as well as resolve the parentage of 21 offspring. CONCLUSIONS: Our molecular data has been incorporated with studbook management practices to provide more accurate pedigree information and to inform breeding recommendations. The assay will continue to be used to monitor the genetic diversity of the insurance population of Tasmanian devils with the aim of reducing inbreeding and maximizing success of reintroductions to the wild. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2020-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-14 /pmc/articles/PMC4607143/ /pubmed/26467759 http://dx.doi.org/10.1186/s12864-015-2020-4 Text en © Wright et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wright, Belinda
Morris, Katrina
Grueber, Catherine E.
Willet, Cali E.
Gooley, Rebecca
Hogg, Carolyn J.
O’Meally, Denis
Hamede, Rodrigo
Jones, Menna
Wade, Claire
Belov, Katherine
Development of a SNP-based assay for measuring genetic diversity in the Tasmanian devil insurance population
title Development of a SNP-based assay for measuring genetic diversity in the Tasmanian devil insurance population
title_full Development of a SNP-based assay for measuring genetic diversity in the Tasmanian devil insurance population
title_fullStr Development of a SNP-based assay for measuring genetic diversity in the Tasmanian devil insurance population
title_full_unstemmed Development of a SNP-based assay for measuring genetic diversity in the Tasmanian devil insurance population
title_short Development of a SNP-based assay for measuring genetic diversity in the Tasmanian devil insurance population
title_sort development of a snp-based assay for measuring genetic diversity in the tasmanian devil insurance population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4607143/
https://www.ncbi.nlm.nih.gov/pubmed/26467759
http://dx.doi.org/10.1186/s12864-015-2020-4
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