Microsatellite markers for American mink (<i>Mustela vison</i>) and ermine (<i>Mustela erminea</i>)

Fleming, Melissa; Ostrander, Elaine A.; Cook, Joseph A.

doi:10.1046/j.1365-294x.1999.00701_2.x

Cited by 154 publications

(95 citation statements)

References 6 publications

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“…The mean number of uninterrupted repeating units, excluding the tetranucleotide, was 15.1. This figure is somewhat larger than 14 for nine mink microsatellite loci reported by O'Connell et al (1996) and 13.4 calculated from the data on seven mink microsatellite loci reported by Fleming et al (1999).…”

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confidence: 56%

“…Although the American mink (Mustela vison) is one of the most important fur-bearing species in North America and northern Europe, fewer than 35 microsatellite markers have so far been identified for this species (O'Connell et al 1996;Brusgaard et al 1998 a,b,c;Davis and Strobeck 1998;Fleming et al 1999). More microsatellites are needed to enable researchers to choose a panel of markers with a large number of alleles that can be co-amplified by polymerase chain reaction (PCR), thereby generating more information at a lower cost.…”

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confidence: 99%

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Variability of thirteen microsatellite markers in American mink (Mustela vison)

Vincent¹,

Farid²,

Otieno³

2003

Can. J. Anim. Sci.

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confidence: 56%

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confidence: 99%

Variability of thirteen microsatellite markers in American mink (Mustela vison)

Vincent¹,

Farid²,

Otieno³

2003

Can. J. Anim. Sci.

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“…Hairs were processed on different days than tissue samples in dedicated laboratory space. We amplified all samples at 12 microsatellite loci (Supplementary Table S1) developed in American badger (Tt-1, Tt-2, Tt-3 and Tt-4; Davis and Strobeck, 1998), American mink (Neovison vison; Mvis072; Fleming et al, 2002), American marten (Martes americana; Ma-1; Davis and Strobeck, 1998) and European badger (Meles meles; Mel112, Mel101, Mel111, Mel108, Mel14 and Mel1: Carpenter et al, 2003;Domingo-Roura et al, 2003). Multiplex PCRs were conducted in sets of 2-4 primers in 10-μl reaction volumes (Supplementary Table S1).…”

Section: Laboratory Methodsmentioning

confidence: 99%

Fine-scale landscape genetics of the American badger (Taxidea taxus): disentangling landscape effects and sampling artifacts in a poorly understood species

Kierepka

Latch

2015

Heredity

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Landscape genetics is a powerful tool for conservation because it identifies landscape features that are important for maintaining genetic connectivity between populations within heterogeneous landscapes. However, using landscape genetics in poorly understood species presents a number of challenges, namely, limited life history information for the focal population and spatially biased sampling. Both obstacles can reduce power in statistics, particularly in individual-based studies. In this study, we genotyped 233 American badgers in Wisconsin at 12 microsatellite loci to identify alternative statistical approaches that can be applied to poorly understood species in an individual-based framework. Badgers are protected in Wisconsin owing to an overall lack in life history information, so our study utilized partial redundancy analysis (RDA) and spatially lagged regressions to quantify how three landscape factors (Wisconsin River, Ecoregions and land cover) impacted gene flow. We also performed simulations to quantify errors created by spatially biased sampling. Statistical analyses first found that geographic distance was an important influence on gene flow, mainly driven by fine-scale positive spatial autocorrelations. After controlling for geographic distance, both RDA and regressions found that Wisconsin River and Agriculture were correlated with genetic differentiation. However, only Agriculture had an acceptable type I error rate (3-5%) to be considered biologically relevant. Collectively, this study highlights the benefits of combining robust statistics and error assessment via simulations and provides a method for hypothesis testing in individual-based landscape genetics.

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“…We amplified nuclear DNA using eight microsatellite loci [Mvis075, Mer049, Mvis002 (Fleming et al 1999), Mer095 (Wisely et al 2002), Mvi57, Mvi87, Mvi232 (O'Connell et al 1994) and G1A (Davis and Strobeck 1998)]. Allele sizes of loci ranged from 104 to 227 bp.…”

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confidence: 99%