Literature DB >> 14629346

Pedigree-based assignment tests for reversing coyote (Canis latrans) introgression into the wild red wolf (Canis rufus) population.

Craig R Miller1, Jennifer R Adams, Lisette P Waits.   

Abstract

The principal threat to the persistence of the endangered red wolf (Canis rufus) in the wild is hybridization with the coyote (Canis latrans). To facilitate idengification and removal of hybrids, assignment tests are developed which use genotype data to estimate identity as coyote, 1/4, 1/2, 3/4 or full red wolf. The tests use genotypes from the red wolves that founded the surviving population and the resulting pedigree, rather than a contemporary red wolf sample. The tests are evaluated by analysing both captive red wolves at 18 microsatellite loci, and data simulated under a highly parameterized, biologically reasonable model. The accuracy of assignment rates are generally high, with over 95% of known red wolves idengified correctly. There are, however, tradeoffs between ambiguous assignments and misassignments, and between misidengifying red wolves as hybrids and hybrids as red wolves. These result in a compromise between limiting introgression and avoiding demographic losses. The management priorities and level of introgression determine the combination of test and removal strategy that best balances these tradeoffs. Ultimately, we conclude that the use of the assignment tests has the capacity to arrest and reverse introgression. To our knowledge, the presented approach is novel in that it accounts for genetic drift when the genotypes under analysis are temporally separated from the reference populations to which they are being assigned. These methods may be valuable in cases where reference databases for small populations have aged substantially, pedigree information is available or data are generated from historical samples.

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Year:  2003        PMID: 14629346     DOI: 10.1046/j.1365-294x.2003.02003.x

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  7 in total

1.  Demographic history influences spatial patterns of genetic diversityin recently expanded coyote (Canis latrans) populations.

Authors:  Elizabeth Heppenheimer; Daniela S Cosio; Kristin E Brzeski; Danny Caudill; Kyle Van Why; Michael J Chamberlain; Joseph W Hinton; Bridgett vonHoldt
Journal:  Heredity (Edinb)       Date:  2017-12-22       Impact factor: 3.821

2.  Reviving ghost alleles: Genetically admixed coyotes along the American Gulf Coast are critical for saving the endangered red wolf.

Authors:  Bridgett M vonHoldt; Joseph W Hinton; Amy C Shutt; Sean M Murphy; Melissa L Karlin; Jennifer R Adams; Lisette P Waits; Kristin E Brzeski
Journal:  Sci Adv       Date:  2022-06-29       Impact factor: 14.957

3.  Identification of recent hybridization between gray wolves and domesticated dogs by SNP genotyping.

Authors:  Bridgett M vonHoldt; John P Pollinger; Dent A Earl; Heidi G Parker; Elaine A Ostrander; Robert K Wayne
Journal:  Mamm Genome       Date:  2012-10-12       Impact factor: 2.957

4.  Inter-species hybridization among Neotropical cats of the genus Leopardus, and evidence for an introgressive hybrid zone between L. geoffroyi and L. tigrinus in southern Brazil.

Authors:  T C Trigo; T R O Freitas; G Kunzler; L Cardoso; J C R Silva; W E Johnson; S J O'Brien; S L Bonatto; E Eizirik
Journal:  Mol Ecol       Date:  2008-10       Impact factor: 6.185

Review 5.  Red Wolf (Canis rufus) Recovery: A Review with Suggestions for Future Research.

Authors:  Joseph W Hinton; Michael J Chamberlain; David R Rabon
Journal:  Animals (Basel)       Date:  2013-08-13       Impact factor: 2.752

6.  Space Use and Habitat Selection by Resident and Transient Red Wolves (Canis rufus).

Authors:  Joseph W Hinton; Christine Proctor; Marcella J Kelly; Frank T van Manen; Michael R Vaughan; Michael J Chamberlain
Journal:  PLoS One       Date:  2016-12-21       Impact factor: 3.240

Review 7.  Integrating Genomic Data Sets for Knowledge Discovery: An Informed Approach to Management of Captive Endangered Species.

Authors:  Kristopher J L Irizarry; Doug Bryant; Jordan Kalish; Curtis Eng; Peggy L Schmidt; Gini Barrett; Margaret C Barr
Journal:  Int J Genomics       Date:  2016-06-08       Impact factor: 2.326

  7 in total

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