Monitoring Wolf Packs by Counting Litters: Sibling Reconstruction from Genetics to Genomics
Parameters of reproductive success are critical to the management of wildlife populations. Genetic monitoring can provide this demographic information when traditional methods aren’t tractable. This study demonstrates a novel application of genetic data to estimate a minimum annual count of breeding...
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ftunividahodc:oai:digital.lib.uidaho.edu:etd/1262 2023-11-12T04:15:45+01:00 Monitoring Wolf Packs by Counting Litters: Sibling Reconstruction from Genetics to Genomics Clendenin, Heather Rose Waits, Lisette Rose; Hohenlohe, Paul Rose 2019-05 PDF http://digital.lib.uidaho.edu/cdm/ref/collection/etd/id/1262 en eng Clendenin_idaho_0089N_11493 http://digital.lib.uidaho.edu/cdm/ref/collection/etd/id/1262 http://rightsstatements.org/vocab/InC-EDU/1.0/ genetics genomics harvest management sibship reconstruction wolves Bioinformatics Text 2019 ftunividahodc 2023-10-27T10:31:02Z Parameters of reproductive success are critical to the management of wildlife populations. Genetic monitoring can provide this demographic information when traditional methods aren’t tractable. This study demonstrates a novel application of genetic data to estimate a minimum annual count of breeding packs of gray wolves (Canis lupus). Using tissue samples from wolves harvested in Idaho, 98 young of the year from 2015 and 205 from 2016 were genotyped at 18 microsatellite loci. Sibling groups for each cohort were reconstructed using COLONY, with full-sibling litters corresponding to unique packs. To assess the accuracy of relationship assignments, young of the year of known relationship from long-term study packs were added to the dataset (61 individuals from 2015 and 45 from 2016). Varied input parameters were used to evaluate the power of relationship assignments under real-world data constraints, providing insight into the use of sibship reconstruction as a tool to meet monitoring goals. Though all known relationship were correctly identified under these conditions, the number and size of assigned subgroups varied. Notably, the ability to discern between closely related non-siblings was diminished when the number of loci was reduced from 18 to 10. To further explore the impacts of different genotype data, we used RADseq to identify thousands of single nucleotide polymorphism (SNP) loci and repeated sibship analyses for 50 gray wolf YOY from 2014. Our results indicated that sibship analyses using SNP loci may be limited by missing data caused by DNA quality and quantity, and that strict filtering may yield inconsistent results. SNP and microsatellite datasets were generally concordant but produced some discrepancies in sibship assignments. To compare SNP-based sibship estimates against known relationships, we have also generated RADseq-derived SNPs in an analogous group of 86 red wolf (Canis rufus) YOY of known pedigree. Though the use of SNPs is increasing in genetic monitoring of wildlife, the strengths and ... Text Canis lupus gray wolf University of Idaho Library: Digital Initiatives |
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genetics genomics harvest management sibship reconstruction wolves Bioinformatics |
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genetics genomics harvest management sibship reconstruction wolves Bioinformatics Clendenin, Heather Rose Monitoring Wolf Packs by Counting Litters: Sibling Reconstruction from Genetics to Genomics |
topic_facet |
genetics genomics harvest management sibship reconstruction wolves Bioinformatics |
description |
Parameters of reproductive success are critical to the management of wildlife populations. Genetic monitoring can provide this demographic information when traditional methods aren’t tractable. This study demonstrates a novel application of genetic data to estimate a minimum annual count of breeding packs of gray wolves (Canis lupus). Using tissue samples from wolves harvested in Idaho, 98 young of the year from 2015 and 205 from 2016 were genotyped at 18 microsatellite loci. Sibling groups for each cohort were reconstructed using COLONY, with full-sibling litters corresponding to unique packs. To assess the accuracy of relationship assignments, young of the year of known relationship from long-term study packs were added to the dataset (61 individuals from 2015 and 45 from 2016). Varied input parameters were used to evaluate the power of relationship assignments under real-world data constraints, providing insight into the use of sibship reconstruction as a tool to meet monitoring goals. Though all known relationship were correctly identified under these conditions, the number and size of assigned subgroups varied. Notably, the ability to discern between closely related non-siblings was diminished when the number of loci was reduced from 18 to 10. To further explore the impacts of different genotype data, we used RADseq to identify thousands of single nucleotide polymorphism (SNP) loci and repeated sibship analyses for 50 gray wolf YOY from 2014. Our results indicated that sibship analyses using SNP loci may be limited by missing data caused by DNA quality and quantity, and that strict filtering may yield inconsistent results. SNP and microsatellite datasets were generally concordant but produced some discrepancies in sibship assignments. To compare SNP-based sibship estimates against known relationships, we have also generated RADseq-derived SNPs in an analogous group of 86 red wolf (Canis rufus) YOY of known pedigree. Though the use of SNPs is increasing in genetic monitoring of wildlife, the strengths and ... |
author2 |
Waits, Lisette Rose; Hohenlohe, Paul Rose |
format |
Text |
author |
Clendenin, Heather Rose |
author_facet |
Clendenin, Heather Rose |
author_sort |
Clendenin, Heather Rose |
title |
Monitoring Wolf Packs by Counting Litters: Sibling Reconstruction from Genetics to Genomics |
title_short |
Monitoring Wolf Packs by Counting Litters: Sibling Reconstruction from Genetics to Genomics |
title_full |
Monitoring Wolf Packs by Counting Litters: Sibling Reconstruction from Genetics to Genomics |
title_fullStr |
Monitoring Wolf Packs by Counting Litters: Sibling Reconstruction from Genetics to Genomics |
title_full_unstemmed |
Monitoring Wolf Packs by Counting Litters: Sibling Reconstruction from Genetics to Genomics |
title_sort |
monitoring wolf packs by counting litters: sibling reconstruction from genetics to genomics |
publishDate |
2019 |
url |
http://digital.lib.uidaho.edu/cdm/ref/collection/etd/id/1262 |
genre |
Canis lupus gray wolf |
genre_facet |
Canis lupus gray wolf |
op_relation |
Clendenin_idaho_0089N_11493 http://digital.lib.uidaho.edu/cdm/ref/collection/etd/id/1262 |
op_rights |
http://rightsstatements.org/vocab/InC-EDU/1.0/ |
_version_ |
1782333023958597632 |