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27 results for “American mink”
Fig. 2. A in Digestive tract nematode infections in non-native invasive American mink with the first molecular identification of Molineus patens
Fig. 2. A phylogram based on the small subunit of 18S rRNA nuclear gene fragments for the 58 sequences obtained from the parasites isolated from different parts of the American mink digestive tract: s – stomach; d – duodenum; si – small intestine (bold – Aonchtheca putorii, navy blue and bold – Molineus patens) and sequences achieved from GeneBank (http://www.ncbi.nlm.nih. gov/) (in italics) of the other 8 Trichuridae species (phylum Nematoda). All newly achieved sequences are in bold (details in Appendix 1, Fig. S2). The evolutionary relationships of the taxa were implied using the maximum likelihood estimation method (Tamura and Nei, 1993) embedded in MEGA6 software (Tamura et al., 2013). The tree with the highest log likelihood (– 1262.9129) is shown. The evolutionary distances were computed using the maximum composite likelihood method (Tamura et al., 2004) and are expressed as a number of base substitutions per site. All positions containing gaps and missing data were eliminated. There were a total of 456 positions in the final dataset.
Fig. 1 in Digestive tract nematode infections in non-native invasive American mink with the first molecular identification of Molineus patens
Fig. 1. Relation between the number of nematodes in the stomach of American mink and the number of nematodes in other parts of the digestive tract (duodenum, small intestine, and large intestine).
Functional genetic diversity of domestic and wild American mink (Neovison vison )
<p>The release of domestic organisms to the wild threatens biodiversity because the introduction of domestic genes through interbreeding can negatively impact wild conspecifics via outbreeding depression. In North America, farmed American mink (<i>Neovison vison</i>) frequently escape captivity, yet the impact of these events on functional genetic diversity of wild mink populations is unclear. We characterized domestic and wild mink in Ontario at 17 microsatellites located in functional genes and in a promoter region that is non-coding but thought to be associated with traits affected by domestication. We found low functional genetic diversity in both mink types, as only 4 of 17 genes were variable, and the number of alleles per locus were generally lower in captive mink than in wild mink. To determine if allele frequencies of wild populations were affected by domestic release events, we performed redundancy analysis and spatial analysis of principal components on four polymorphic loci (AR, ATN1, IGF-1, and TOB1). We found evidence to suggest domestic release events are affecting the functional genetic diversity of wild mink, as sPCA showed clear distinctions between wild individuals near mink farms and those located in areas without mink farms. This is further substantiated through RDA, where spatial location was associated with genetic variation of AR, ATN1, and IGF1.</p>
Data from: "Diagnostic SNPs for inferring population structure in American mink (Neovison vison) identified through RAD sequencing" in Genomic Resources Notes accepted 1 October 2014 to 30 November 2014
The article documents the public availability of RAD sequencing data and generated SNPs for the American mink (Neovison vison). 224,095 polymorphic loci were identified from 14 mink from which primers were designed for a subset of 380 SNPs. The panel was tested on 211 mink. Fisher's F-statistics (Fis, FIT and FST) as well as observed (HO), expected (HE) and unbiased expected (uHE) heterozygosity was calculated for the SNPs and 194 SNPs was validated as being useful for population genetic studies.
Data from: Relationship type affects the reliability of dispersal distance estimated using pedigree inferences in partially sampled populations: a case study involving invasive American mink in Scotland
Estimating dispersal—a key parameter for population ecology and management—is notoriously difficult. The use of pedigree assignments, aided by likelihood-based software, has become popular to estimate dispersal rate and distance. However, the partial sampling of populations may produce false assignments. Further, it is unknown how the accuracy of assignment is affected by the genealogical relationships of individuals and is reflected by software-derived assignment probabilities. Inspired by a project managing invasive American mink (Neovison vison), we estimated individual dispersal distances using inferred pairwise relationships of culled individuals. Additionally, we simulated scenarios to investigate the accuracy of pairwise inferences. Estimates of dispersal distance varied greatly when derived from different inferred pairwise relationships, with mother–offspring relationship being the shortest (average = 21 km) and the most accurate. Pairs assigned as maternal half-siblings were inaccurate, with 64%–97% falsely assigned, implying that estimates for these relationships in the wild population were unreliable. The false assignment rate was unrelated to the software-derived assignment probabilities at high dispersal rates. Assignments were more accurate when the inferred parents were older and immigrants and when dispersal rates between subpopulations were low (1% and 2%). Using 30 instead of 15 loci increased pairwise reliability, but half-sibling assignments were still inaccurate (>59% falsely assigned). The most reliable approach when using inferred pairwise relationships in polygamous species would be not to use half-sibling relationship types. Our simulation approach provides guidance for the application of pedigree inferences under partial sampling and is applicable to other systems where pedigree assignments are used for ecological inference.
Data from: Genetic structure of introduced American mink (Neovison vison) in Patagonia: colonisation insights and implications for control and management strategies
Context: Biological invasions have caused dramatic changes in native biodiversity and ecosystem function. Studies of genetic variation and evolutionary changes are useful for understanding population dynamics during biological invasions, and shed light on management, prevention and restoration strategies. Aims: This study aimed to investigate the structure and genetic variability of American mink (Neovison vison), an invasive species in southern South America, introduced for fur farming in the 1930s. Methods: Samples from 153 mink were obtained from 12 locations in southern Chile to sequence the mitochondrial DNA (mtDNA) control region and to genotype 11 polymorphic microsatellite loci. Key results: The highest mtDNA diversity was detected in Puerto Cisnes, suggesting multiple introductions and/or the most probable area where mink was first introduced. The latter is also supported by microsatellite data, because a high percentage of individuals from different locations were assigned to this location. All other locations showed low or no mtDNA diversity, possibly due to founder effect. The results also indicate marked population structure, with three genetic clusters coincident with the main historical introduction points, with low dispersal among them. Conclusions: The results suggest that control strategies for American mink in southern Chile should be concentrated on these three genetically differentiated management units, and particularly on source populations and locations with low effective population size and restricted connectivity. Implications: Genetic approaches have been used for the management of numerous alien species worldwide. Recommendations delivered here for American mink control could also be implemented in other regions and for other invasive species with similar genetic diversity distribution and connectivity.
On following pages: 42. Steppe Polecat (Mustela eversmanii); 43. Colombian Weasel (Mustela felipei); 44. Long-tailed Weasel (Mustela frenata); 45. Japanese Weasel (Mustela itatsi); 46. Yellow-bellied Weasel (Mustela kathiah); 47. European Mink (Mustela lutreola); 48. Indonesian Mountain Weasel (Mustela lutreolina); 49. Black-footed Ferret (Mustela nigripes); 50. Least Weasel (Mustela nivalis); 51. Malay Weasel (Mustela nudipes); 52. European Polecat (Mustela putorius); 53. Siberian Weasel (Mustela sibirica); 54. Back-striped Weasel (Mustela strigidorsa); 55. Egyptian Weasel (Mustela subpalmata); 56. American Mink (Neovison vison); 57. Patagonian in Mustelidae
On following pages: 42. Steppe Polecat (Mustela eversmanii); 43. Colombian Weasel (Mustela felipei); 44. Long-tailed Weasel (Mustela frenata); 45. Japanese Weasel (Mustela itatsi); 46. Yellow-bellied Weasel (Mustela kathiah); 47. European Mink (Mustela lutreola); 48. Indonesian Mountain Weasel (Mustela lutreolina); 49. Black-footed Ferret (Mustela nigripes); 50. Least Weasel (Mustela nivalis); 51. Malay Weasel (Mustela nudipes); 52. European Polecat (Mustela putorius); 53. Siberian Weasel (Mustela sibirica); 54. Back-striped Weasel (Mustela strigidorsa); 55. Egyptian Weasel (Mustela subpalmata); 56. American Mink (Neovison vison); 57. Patagonian
On following pages: 42. Steppe Polecat (Mustela eversmanii); 43. Colombian Weasel (Mustela felipei); 44. Long-tailed Weasel (Mustela frenata); 45. Japanese Weasel (Mustela itatsi); 46. Yellow-bellied Weasel (Mustela kathiah); 47. European Mink (Mustela lutreola); 48. Indonesian Mountain Weasel (Mustela lutreolina); 49. Black-footed Ferret (Mustela nigripes); 50. Least Weasel (Mustela nivalis); 51. Malay Weasel (Mustela nudipes); 52. European Polecat (Mustela putorius); 53. Siberian Weasel (Mustela sibirica); 54. Back-striped Weasel (Mustela strigidorsa); 55. Egyptian Weasel (Mustela subpalmata); 56. American Mink (Neovison vison); 57. Patagonian Weasel (Lyncodon patagonicus). in Mustelidae
On following pages: 42. Steppe Polecat (Mustela eversmanii); 43. Colombian Weasel (Mustela felipei); 44. Long-tailed Weasel (Mustela frenata); 45. Japanese Weasel (Mustela itatsi); 46. Yellow-bellied Weasel (Mustela kathiah); 47. European Mink (Mustela lutreola); 48. Indonesian Mountain Weasel (Mustela lutreolina); 49. Black-footed Ferret (Mustela nigripes); 50. Least Weasel (Mustela nivalis); 51. Malay Weasel (Mustela nudipes); 52. European Polecat (Mustela putorius); 53. Siberian Weasel (Mustela sibirica); 54. Back-striped Weasel (Mustela strigidorsa); 55. Egyptian Weasel (Mustela subpalmata); 56. American Mink (Neovison vison); 57. Patagonian Weasel (Lyncodon patagonicus).
Functional genetic diversity of domestic and wild American mink (Neovison vison )
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Data from: "Diagnostic SNPs for inferring population structure in American mink (Neovison vison) identified through RAD sequencing" in Genomic Resources Notes accepted 1 October 2014 to 30 November 2014
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Data from: Genetic structure of introduced American mink (Neovison vison) in Patagonia: colonisation insights and implications for control and management strategies
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Data from: Relationship type affects the reliability of dispersal distance estimated using pedigree inferences in partially sampled populations: a case study involving invasive American mink in Scotland
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Data from: Estimating population density and connectivity of American mink using spatial capture-recapture
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Supplementary material 9 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S3
Supplementary material 10 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S4
Supplementary material 11 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S5
Supplementary material 8 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S2
Supplementary material 12 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S6
Supplementary material 7 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Figure S1
Supplementary material 3 from: Harper L, Watson H, Donnelly R, Hampshire R, Sayer C, Breithaupt T, Hänfling B (2020) Using DNA metabarcoding to investigate diet and niche partitioning in the native European otter (Lutra lutra) and invasive American mink (Neovison vison). Metabarcoding and Metagenomics 4: e56087. https://doi.org/10.3897/mbmg.4.56087
Appendix 3: Predator assignment
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