Integrating Genomic Data Sets for Knowledge Discovery: An Informed Approach to Management of Captive Endangered Species

Many endangered captive populations exhibit reduced genetic diversity resulting in health issues that impact reproductive fitness and quality of life. Numerous cost effective genomic sequencing and genotyping technologies provide unparalleled opportunity for incorporating genomics knowledge in manag...

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Main Authors: Kristopher J. L. Irizarry, Doug Bryant, Jordan Kalish, Curtis Eng, Peggy L. Schmidt, Gini Barrett, Margaret C. Barr
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:International Journal of Genomics
Online Access:http://dx.doi.org/10.1155/2016/2374610
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author Kristopher J. L. Irizarry
Doug Bryant
Jordan Kalish
Curtis Eng
Peggy L. Schmidt
Gini Barrett
Margaret C. Barr
author_facet Kristopher J. L. Irizarry
Doug Bryant
Jordan Kalish
Curtis Eng
Peggy L. Schmidt
Gini Barrett
Margaret C. Barr
author_sort Kristopher J. L. Irizarry
collection DOAJ
description Many endangered captive populations exhibit reduced genetic diversity resulting in health issues that impact reproductive fitness and quality of life. Numerous cost effective genomic sequencing and genotyping technologies provide unparalleled opportunity for incorporating genomics knowledge in management of endangered species. Genomic data, such as sequence data, transcriptome data, and genotyping data, provide critical information about a captive population that, when leveraged correctly, can be utilized to maximize population genetic variation while simultaneously reducing unintended introduction or propagation of undesirable phenotypes. Current approaches aimed at managing endangered captive populations utilize species survival plans (SSPs) that rely upon mean kinship estimates to maximize genetic diversity while simultaneously avoiding artificial selection in the breeding program. However, as genomic resources increase for each endangered species, the potential knowledge available for management also increases. Unlike model organisms in which considerable scientific resources are used to experimentally validate genotype-phenotype relationships, endangered species typically lack the necessary sample sizes and economic resources required for such studies. Even so, in the absence of experimentally verified genetic discoveries, genomics data still provides value. In fact, bioinformatics and comparative genomics approaches offer mechanisms for translating these raw genomics data sets into integrated knowledge that enable an informed approach to endangered species management.
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issn 2314-436X
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spelling doaj-art-c63e6079380d42bdbf649b8b58226f422025-02-03T01:10:49ZengWileyInternational Journal of Genomics2314-436X2314-43782016-01-01201610.1155/2016/23746102374610Integrating Genomic Data Sets for Knowledge Discovery: An Informed Approach to Management of Captive Endangered SpeciesKristopher J. L. Irizarry0Doug Bryant1Jordan Kalish2Curtis Eng3Peggy L. Schmidt4Gini Barrett5Margaret C. Barr6College of Veterinary Medicine, Western University of Health Sciences, 309 East Second Street, Pomona, CA 91766, USADanforth Center, 975 N. Warson Road, St. Louis, MO 63132, USACollege of Veterinary Medicine, Western University of Health Sciences, 309 East Second Street, Pomona, CA 91766, USACollege of Veterinary Medicine, Western University of Health Sciences, 309 East Second Street, Pomona, CA 91766, USACollege of Veterinary Medicine, Western University of Health Sciences, 309 East Second Street, Pomona, CA 91766, USACollege of Veterinary Medicine, Western University of Health Sciences, 309 East Second Street, Pomona, CA 91766, USACollege of Veterinary Medicine, Western University of Health Sciences, 309 East Second Street, Pomona, CA 91766, USAMany endangered captive populations exhibit reduced genetic diversity resulting in health issues that impact reproductive fitness and quality of life. Numerous cost effective genomic sequencing and genotyping technologies provide unparalleled opportunity for incorporating genomics knowledge in management of endangered species. Genomic data, such as sequence data, transcriptome data, and genotyping data, provide critical information about a captive population that, when leveraged correctly, can be utilized to maximize population genetic variation while simultaneously reducing unintended introduction or propagation of undesirable phenotypes. Current approaches aimed at managing endangered captive populations utilize species survival plans (SSPs) that rely upon mean kinship estimates to maximize genetic diversity while simultaneously avoiding artificial selection in the breeding program. However, as genomic resources increase for each endangered species, the potential knowledge available for management also increases. Unlike model organisms in which considerable scientific resources are used to experimentally validate genotype-phenotype relationships, endangered species typically lack the necessary sample sizes and economic resources required for such studies. Even so, in the absence of experimentally verified genetic discoveries, genomics data still provides value. In fact, bioinformatics and comparative genomics approaches offer mechanisms for translating these raw genomics data sets into integrated knowledge that enable an informed approach to endangered species management.http://dx.doi.org/10.1155/2016/2374610
spellingShingle Kristopher J. L. Irizarry
Doug Bryant
Jordan Kalish
Curtis Eng
Peggy L. Schmidt
Gini Barrett
Margaret C. Barr
Integrating Genomic Data Sets for Knowledge Discovery: An Informed Approach to Management of Captive Endangered Species
International Journal of Genomics
title Integrating Genomic Data Sets for Knowledge Discovery: An Informed Approach to Management of Captive Endangered Species
title_full Integrating Genomic Data Sets for Knowledge Discovery: An Informed Approach to Management of Captive Endangered Species
title_fullStr Integrating Genomic Data Sets for Knowledge Discovery: An Informed Approach to Management of Captive Endangered Species
title_full_unstemmed Integrating Genomic Data Sets for Knowledge Discovery: An Informed Approach to Management of Captive Endangered Species
title_short Integrating Genomic Data Sets for Knowledge Discovery: An Informed Approach to Management of Captive Endangered Species
title_sort integrating genomic data sets for knowledge discovery an informed approach to management of captive endangered species
url http://dx.doi.org/10.1155/2016/2374610
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