Literature DB >> 36140828

Coyotes in New York City Carry Variable Genomic Dog Ancestry and Influence Their Interactions with Humans.

Anthony Caragiulo1, Stephen J Gaughran1,2, Neil Duncan1, Christopher Nagy3, Mark Weckel1, Bridgett M vonHoldt2.   

Abstract

Coyotes are ubiquitous on the North American landscape as a result of their recent expansion across the continent. They have been documented in the heart of some of the most urbanized cities, such as Chicago, Los Angeles, and New York City. Here, we explored the genomic composition of 16 coyotes in the New York metropolitan area to investigate genomic demography and admixture for urban-dwelling canids in Queens County, New York. We identified moderate-to-high estimates of relatedness among coyotes living in Queens (r = 0.0-0.5) and adjacent neighborhoods, suggestive of a relatively small population. Although we found low background levels of domestic-dog ancestry across most coyotes in our sample (5%), we identified a male suspected to be a first-generation coyote-dog hybrid with 46% dog ancestry, as well as his two putative backcrossed offspring that carried approximately 25% dog ancestry. The male coyote-dog hybrid and one backcrossed offspring each carried two transposable element insertions that are associated with human-directed hypersociability in dogs and gray wolves. An additional, unrelated coyote with little dog ancestry also carried two of these insertions. These genetic patterns suggest that gene flow from domestic dogs may become an increasingly important consideration as coyotes continue to inhabit metropolitan regions.

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Keywords:  admixture; coyotes; genomics; hybridization; urban

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Year:  2022        PMID: 36140828      PMCID: PMC9498729          DOI: 10.3390/genes13091661

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.141


1. Introduction

Coyotes (Canis latrans) are synanthropes [1] who have undergone a dramatic range expansion across much of North and Central America. Prior to 1900, coyotes were restricted to the western two-thirds of North America [2,3]. They subsequently expanded into eastern North America likely due to various interacting factors, that include the extirpation of apex predators (e.g., wolves and cougars) and the conversion of once-forested landscapes to agricultural landscapes, which provided ample opportunity for coyotes to hybridize with eastern wolves (C. lycaon), red wolves (C. rufus), gray wolves (C. lupus), and domestic dogs (C. familiaris) [2,4,5,6,7,8,9,10,11,12,13,14]. Gene flow between these canids is a possible mechanism by which new, adaptive genetic variation may have promoted colonization and survival in eastern habitats [2,5,7,15,16]. Moreover, coyotes have been documented in nearly every habitat type and landscape in North America, encompassing both natural and disturbed habitats [17,18], including major cities such as Los Angeles, Chicago, and most recently, New York City (NYC). NYC is the most densely populated city in the United States with over 8.8 million people and approximately 27,000 people per square mile (United States Census Bureau 2020). The first documented evidence of a coyote in the NYC metropolitan area occurred in 1994 in the Bronx [19]. Another coyote was captured in Central Park in 1999. The NYC metropolitan area coyote population has since increased and become well-established [20]. A previous genetic survey of the NYC metropolitan area revealed that the NYC coyote population is genetically differentiated from populations in adjacent states, and with other aspects of genetic parameters, the NYC coyote inhabitants likely descended from a small founder population with limited flow of new genetic variation into the urban ecosystem [20,21]. Urban areas present a unique ecosystem with many ecological opportunities for coyotes. Among the Canis species, coyotes have a history of being characterized as generalists and opportunistic predators with highly variable diets [22,23,24,25]. Natural prey species can be retained in remnant yet fragmented heterogeneous urban patches, such as parks, and their diet is likely to be supplemented with anthropogenic food subsidies [20,26,27,28,29,30]. Coyotes are an ideal system in which to study range expansion and urban ecological dynamics since they have the combined influence of their generalist ecology and a demographic history of introgression. Historic and ancient hybridization among North American canids has been well-described (reviewed in [13]). Despite this extensive body of research, there has been infrequent genetic detection of first- (F1)- or second- (F2) generation coyote–dog hybrids in urban environments, or their recent backcrosses, even when physical and behavioral phenotypes, especially ones that involve human interactions, suggest possible introgression [31]. Here, we use a reduced representation method to collect genome-wide genotype data to probe the genomic ancestry of 16 coyotes in NYC and the surrounding areas, including coyotes suspected to represent a family group with coyote–dog hybrids living in a small greenspace in the Ditmars/East Elmhurst area of Queens, NYC, near Elmjack Baseball Field (40.7765° N, 073.8901° W WGS84, hereafter referred to as Elmjack) and documented with extensive interactions with people. The Elmjack pack established a den in a 14-acre undeveloped site in northern Queens, but after that site was developed into a parking lot for LaGuardia Airport staff, the coyotes became frequent visitors to the adjacent Elmjack Baseball Field. This field was surrounded by a small but dense strip of woods and scrubland that had grown over old construction fill and provided refugia for the coyotes during the day. This family group also used the grounds of a nearby water treatment plant and an island that housed an NYC jail (connected to the main Queens landmass by a 1.3 km bridge). Researchers received reports from residents, NYC employees, and New York State officials describing evidence that these coyotes were being fed by people both directly (i.e., direct handouts, piles of dog food, etc.) and indirectly (garbage/litter and cat food intentionally left for feral cats) at the LaGuardia Airport parking lot, the parking lot for the bridge, and the water treatment plant. Stomach content analysis after euthanasia confirmed these individuals were fed anthropogenic items (e.g., concession stand food such as hot dogs). We assessed their genetic relatedness and compared genetic patterns to coyotes sampled in an adjacent region on Long Island (New York). We inferred local genetic ancestry for each individual and explored how regulatory variation in functional genes may contribute to the behavioral phenotype of the Elmjack pack.

2. Materials and Methods

2.1. Sample Collection and Genomic DNA Preparation

We obtained 16 blood or tissue samples from coyote individuals in NYC and surrounding areas (Table S1), including a suspected pack near Elmjack Baseball Field in Queens (Figure 1). These samples were collected opportunistically from carcasses and animals trapped and euthanized/released by NY State and City officials. This work was conducted under the approved Princeton University IACUC protocol 1961A. We obtained high-molecular-weight genomic DNA using the Qiagen High-Molecular-Weight DNA Kit (Qiagen, Germantown, MD, USA) following the manufacturer’s protocol for enucleated whole blood and frozen tissue. We quantified DNA concentration using the Qubit 2.0 fluorometer system (Thermo Fisher Scientific, Carlsbad, CA, USA) and subsequently standardized each sample’s DNA concentration to 5 ng/µL.
Figure 1

Trail camera photograph of a pup in the Elmjack coyote pack. Pelage pattern is unusual for a coyote and suggestive of domestic dog ancestry (Photo credit: Gotham Coyote Project).

2.2. RAD Sequencing and Bioinformatic Processing

We prepared genomic DNA for restriction-site-associated DNA sequencing (RADseq-capture; [32]) and digested genomic DNA with the SbfI restriction enzyme (New England Biolabs, Ipswich, MA, USA) with subsequent ligation of a unique 8 bp barcoded biotinylated adapter. The barcoded adapters allowed us to then pool equal amounts of 48 DNA samples, which were then randomly sheared to 400 bp in a Covaris LE220. These sheared pools were then enriched for the adapter ligated fragments using a Dynabeads M-280 streptavidin (Thermo Fisher, Carlsbad, CA, USA) binding assay. We then prepared these enriched pools for Illumina NovaSeq paired-end (2 × 150nt) sequencing at Princeton University’s Lewis Sigler Genomics Institute core facility using the NEBnext Ultra II DNA Library Prep Kit (New England Biolabs, Ipswich, MA, USA). We used Agencourt AMPure XP magnetic beads (Beckman Coulter, Brea, CA, USA) for any library purification step and the size selection for fragments 300–400 bp in size. We processed the sequence data by retaining the read (and its pair) that contained the unique barcode and the remnant SbfI recognition motif using a custom perl script. We then further processed these reads in STACKS v2 [33,34]. We first rescued specific barcoded reads using the process_radtags module with a 2 bp mismatch and also retained reads with a quality score ≥ 10. We used the clone_filter module to remove PCR duplicates for mapping to the dog genome CanFam3.1 assembly [35] using bwa-mem [36]. We excluded mapped reads with MAPQ < 20 and then converted the SAM files to BAM format in Samtools v0.1.18 [37]. We included 92 publicly available canid samples already mapped to the same reference genome assembly following the same methods (Table S1).

2.3. SNP Discovery and Filtering

We merged the target 16 coyotes with public RADseq data from 40 reference samples representing domestic dogs, western coyotes, eastern wolves, and gray wolves prepared following the same methods (references for all public samples found in Table S1). We retained samples with a minimum of 300,000 mapped reads, which were used to construct a catalog of all polymorphic sites possible. We implemented the gstacks and populations modules in STACKS v2 following the recommended pipeline for data mapped to a reference genome. To increase the stringency of SNP annotation, we increased the minimum significance threshold in gstacks and used the marukilow model flags --vt-alpha and --gt-alpha with p = 0.01. All SNPs discovered per locus were reported for downstream filtering. We used VCFtools v0.1.17 [38] to exclude singleton and private doubleton alleles, to remove loci with more than 90% missing data across all samples, and to remove individuals with more than 20% missing data. We filtered to exclude sites with a minor allele frequency (MAF < 0.03) and allowed up to 80% genotyping rate per locus (--geno 0.2) in PLINK v1.90b3i [39]. For estimating pairwise relatedness coefficients in the R package related [40,41], we constructed a “statistically neutral and unlinked” dataset of SNPs by excluding sites within 50-SNP windows that exceeded genotype correlations of r = 0.2 (--indep-pairwise 50 5 0.2; a proxy for linkage disequilibrium or LD), significantly deviated from Hardy–Weinberg equilibrium (HWE) with the argument --hwe 0.001, and increased the MAF threshold to 0.20. We used the coancestry function, the dyadic likelihood estimator (dyadml = 1; [42]), and permitted inbreeding (allow.inbreeding = TRUE) to estimate relatedness coefficients.

2.4. Sex Inference

We included the Y chromosome (KP091776.1; [43]) with the CanFam3.1 reference assembly to enable bioinformatic inference of sex. We estimated the number of reads that aligned to each Y-chromosome nucleotide for each RADseq sample. The expectation is that males will have a significantly higher number of reads aligned to the Y chromosome than females. However, there is also some variation in female-mapped reads to the Y chromosome’s pseudoautosomal region (PAR) that pairs with the X chromosome (1 bp–6.7 Mb; [44]). We included 37 individuals where field sex was reported (n males = 14, females = 23) (Table S1).

2.5. Inference of Autosomal Canid Ancestry

To infer ancestry proportions for the queried New York coyote samples, we selected a set of reference populations based on previous genome-wide studies that identified populations of little to no admixture, as well as incorporating pre-expansion demographics [45,46,47]. The four possible representative ancestral populations (n = 10 each) were: western coyote, gray wolves, eastern wolves, and domestic dogs (Table S1). We included representatives of domestic dogs with mixed-breed ancestry (C. familiaris) collected from North America given the possibility of recent interbreeding with dogs in an urban community. Moreover, we included both the eastern and gray wolves given their different known demographic histories [46]. We inferred local ancestry of the query coyotes from New York with respect to four reference populations (dog, western coyote, gray wolf, and eastern wolf reference groups defined in Table S1) and, using the SNP dataset, filtered only for MAF and missingness. We implemented a two-layer hidden Markov model in the program ELAI [48]. The first step is for the model to evaluate LD and return a per-SNP allele dosage score that estimates the most likely ancestry and its state (heterozygous or homozygous). We opted to discard an SNP if it was missing from one of the populations. We defined the number of upper-layer clusters (-C) to be the number of references used and the lower-layer clusters (-c) to be twice the value of the -C value. Given our lack of a priori knowledge about potential gene flow, we analyzed four time points since admixture (-mg): 5, 10, 15, and 20 generations ago. We further implemented ELAI three times serially for each -mg parameter value with 30 EM steps. We obtained the final estimates by averaging each result from the 12 independent analyses.

2.6. Human-Directed Hypersociability Genotypes

Because of these reports, we genotyped three transposable element insertions that increase human-directed hypersociability behavior in canines: Cfa6.6, Cfa6.7, and Cfa6.66 located on canine chromosome 6 (2,031,491−7,215,670 bp of canfam3.1 assembly; see for details of each locus: [49,50]). The alleles at each locus associated with canine social behavior is a short transposable element (TE) insertion of the LINE or SINE family of elements. Previous research has found that an increased copy number of these insertions is significantly associated with increased social interest, and thus interactions, with humans [49]. There is no reported trend in specific breeds that are significantly enriched for TEs, despite hundreds of breeds surveyed [49,50]. We used a previously developed PCR assay to obtain codominant genotypes for the TE: lacking (0 copies), heterozygous (1 copy), or homozygous (2 copies) for the TE [49]. PCR products were visualized and genotyped on a 2% agarose gel. Previous research has reported that a higher copy number of TE insertions is significantly associated with increased social behavior directed at humans via prolonged durations of canine–human interactions [49]. We explored the ancestry structure across chromosome 6, which houses the TE alleles associated with human-directed canine hypersociability. Ancestry blocks were defined by a minimum of three contiguous SNPs of the same locally inferred ancestry identity. We annotated the genes contained within each ancestry block using the UCSC Genome Browser’s Table Browser function for dog reference genome CanFam3.1 [51]. We used the intersect function of BedTools v2.28 to annotate each ancestry block [52].

3. Results

3.1. Sequencing and Sex Inference

We sequenced 16 target coyotes represented by 17 samples (MEW009 was duplicated) collected from the New York City metropolitan area and discovered SNPs with the inclusion of 40 additional reference genomes for ancestry analysis. We established a catalog of 2,620,950 loci with an effective per-sample sequence coverage of 8.7-fold. Four samples were excluded from all downstream ancestry inferences due to missing data (two target coyotes and two gray wolves). After filtering SNPs for MAF and missingness, we retained 53 canids (38 references and 15 target) and 26,763 SNP loci for ancestry inference. An initial check of samples was completed using PCA with 16,355 loci after excluding SNPs that significantly deviated from HWE and were highly correlated with other loci. We aligned all 57 RADseq samples to the Y chromosome (KP091776.1) [43]. Of the 37 animals of known sex, we report a 94.6% concordance rate, with only two mismatches. Males had a significantly higher number of reads that aligned to the Y chromosome than females (mean males = 22,196.2, females = 1510.4, 1-tailed t-test of unequal variance p = 5.18 × 10−9) (Table S1). We then inferred 7 females and 13 males for the remainder of the samples that lacked observation and corrected the two mismatches. For the 17 query coyotes, we inferred this sample set to be composed of 7 females and 10 males.

3.2. Dog Ancestry Detected in Coyotes in the New York Metro Area

The PCA revealed that the target coyotes likely contained admixed genomic contributions from both coyotes and domestic dogs (Figure 2). We then inferred ancestry with respect to two reference groups (domestic dogs and western coyotes) and found that the target coyotes from the New York metro area carried an average of 12.5% dog ancestry (Table 1). However, this is predominantly due to three coyotes (male NY01, male NY04, and male NY05) with very high dog ancestry (46.5%, 24.5%, and 29.2%, respectively). The remaining coyotes carried an average of 6.9% dog ancestry. The coyotes with high dog ancestry, and coyote T211, originated from a single location and possibly represent a family group (Figure 3A).
Figure 2

PCA of 53 canids genotyped at 16,355 unlinked and neutral SNP loci. The percent of variation explained by each axis is provided in parentheses. The 15 target coyotes were sampled in the New York City metropolitan area.

Table 1

Autosomal ancestry proportions for each of the 15 target coyotes sampled in the New York metro area and inferred from 26,763 SNP genotypes across two reference populations (domestic dog, Cfa; western coyote, Cla).

Sample IDCfaCla
PC160.0840.917
MEW0050.0810.919
NY040.2450.755
MEW0010.0580.942
T2110.0940.907
MEW009B0.0480.952
MEW0040.0920.908
SH0020.0700.930
NY010.4650.535
NY050.2920.708
MEW009T0.0430.957
MEW0030.0670.934
SH0010.1250.875
MEW0020.0560.944
511480.0560.944
Figure 3

(A) Ancestry inference for autosomal ancestry proportions inferred from 26,763 SNP loci and two reference populations (pink, domestic dog; green, western coyote) with sex indicated on each pie chart (F, female; M, male); and (B) genetic relatedness coefficients estimated from 240 SNP loci genotyped in target coyotes sampled in the NYC metropolitan area. Inset shows four coyotes in a single location. Sample MEW009B was not plotted. Samples in panel (B) follow the same labels found in panel (A).

3.3. Family Group Contains F1 and F2 Dog–Coyote Hybrids

We estimated pairwise relatedness coefficients with the dyadic likelihood estimator across 240 highly filtered SNPs genotyped in 16 target coyotes sampled in the New York metro area. We found a low average level of relatedness across 105 dyads (r = 0.05) with substantial variation (s.d. = 0.14) and 76 of these comparisons were unrelated (r = 0) (Figure S1; Table S2). We confirmed the duplicate sample MEW009B and MEW009T is derived from the same individual female coyote. We found the suspected family group (female T211 and three males NY01, NY04, and NY05) to have a high average relatedness (r = 0.35). There was one unrelated dyad (female T211 and male NY01) with all other intra-group estimates indicative of siblings/parent–offspring or half-siblings (r = 0.35–0.5) (Figure 3B, Table 2). The spatial patterning of both ancestry and relatedness further reveals the limited dog hybridization and introgression. We found that high dog ancestry was restricted to the single pack in Elmjack, Queens, which also contained the highest inter-individual relatedness (Figure 3B). Few other pairs had notable relatedness values (r > 0.10). We found that most notable relatedness pairs were spatially adjacent (e.g., female MEW009T and male MEW003, r = 0.36; female MEW005 and female T211, r = 0.35). A single long-distance dyad was found between male MEW004 and male SH001, collected on opposite ends of Long Island (r = 0.13) (Figure 3B).
Table 2

Pairwise relatedness (r) values from the dyadic likelihood (dyadml) estimator of the putative family group of coyotes sampled in the New York metro area genotyped for 240 SNP loci.

Sample ID 1Sample ID 2Dyadml r
T211NY050.50
NY04T2110.47
NY04NY050.40
NY01NY050.39
NY04NY010.35
T211NY010.0

3.4. Human-Directed Hypersociability Genotypes

Given the preponderance of notable dog ancestry in several of the coyotes analyzed, we followed up with a genotyping assay for TE insertions known to increase human-directed hypersocial behavior [49]. We found that 3 of the 16 coyotes genotyped carried a TE in the heterozygous genotypic state (Table 3). Of those three, two (NY01 and NY04) were previously observed to have interactions with the local human community. Based on our assessment of relatedness between NY01 (male) as a putative father of NY04 (male), we see further corroboration that both individuals are heterozygous for TE at locus Cfa6.6 and Cfa6.66 (Table 3). Coyote T211 (putative mother) and NY05 (sibling of NY04) lacked all possible TE insertions assayed.
Table 3

Number of transposable element insertions associated with canine human-directed hypersociability per locus. Missing data are indicated by “-”. The asterisk indicates coyotes that had been documented interacting with humans.

Sample IDCfa6.6Cfa6.7Cfa6.66
MEW007000
PC16000
MEW008000
MEW005000
NY04 *101
MEW001110
T211 *000
MEW009000
MEW004000
SH002000
NY01 *101
NY05 *000
MEW003000
SH001000
MEW00200-
51148000
We investigated the ancestry structure of the NYC coyotes and found that several NYC coyotes carried dog ancestry blocks on Chr 6 (Figure 4). Two coyotes lacked dog ancestry on their chromosome 6 (MEW003 and SH002). We annotated 55 ancestry blocks of either homozygous dog or heterozygous coyote–dog ancestry (Table S3). Of the coyotes with dog ancestry, NY05 carried 14.9 times more dog ancestry in homozygous blocks than in the heterozygous configuration (41 and 2.7 Mb, respectively). Coyote NY04 similarly carried 41.8 Mb of dog ancestry in homozygous blocks but with 10.2 Mb of dog ancestry found in heterozygous blocks. Male coyote NY01 also carried a large fraction of dog ancestry on chromosome 6 in homozygous blocks (32 Mb) paired with 24 Mb of dog ancestry situated in heterozygous blocks. We also found 11 dog ancestry blocks in the region of chromosome 6 that contained the human-directed hypersociability TE alleles (Table S3). For the three coyotes that had the TE alleles, MEW001 and NY04 carried 100% dog ancestry while coyote NY01 carried 72.1% dog ancestry, which is independent evidence that these TE alleles were inherited from past interbreeding with dogs.
Figure 4

Ancestry blocks for canine chromosome 6. Each horizontal band is an ancestry block with the color of the block indicative of the ancestry state (homozygous or heterozygous) for the respective species identity. The chromosomal region highlighted by the gray box indicates the location of the hypersociability transposable element alleles.

4. Discussion

We analyzed genome-wide SNP genotype data and found that NYC area coyotes carry, on average, low levels (5–10%) of domestic dog genetic ancestry. Moreover, we provide the first documented evidence of first- and second-generation coyote–dog hybrids in NYC. The F1 coyote–dog hybrid is an adult male (NY01) of the Elmjack pack and was mated with an unrelated female mate (T211) who carried only background levels of dog introgression. We further documented close genetic relationships (pairwise r = 0.35–0.5) of these adult animals with two Elmjack pups (NY04 and NY05). Each pup notably carried 25% dog genetic ancestry, the expected proportion for offspring of a cross between a coyote–dog F1 hybrid (NY01) and a non-admixed coyote (T211). Together with direct observations, we conclude that NY01 and T211 were a breeding pair and NY04 and NY05 were their offspring. We found several animals in our NYC regional sample set that were more distantly related (e.g., second-degree relatives). Our overall findings support Henger et al. [20] who concluded that this population descends from a small number of founders and remains relatively small given the kinship found among multiple individuals. We also found evidence that coyotes disperse across habitat patches in the metropolitan landscape, at distances comparable to the species’ known dispersal abilities [4,53], as we documented close kinship ties between animals across the region. The urban and island nature of NYC has somewhat delayed colonization of Queens and the rest of Long Island, but the Elmjack pack and other reports [20,54] show that dispersal is proceeding, nonetheless. Studies across multiple species show that animals with frequent human encounters often exhibit reduced fear of, and habituation to, humans over time [55,56,57,58,59]. For coyotes, there appear to be competing ecological costs and benefits to using anthropogenic resources. Being tolerant of human activity may allow movement across the “concrete jungle” and/or persistence in an area with high human activity. However, overly bold coyotes will ultimately cause conflict and be removed. Gehrt et al. [1] posited that the coyote is a “misanthropic synanthrope”, arguing that successful coyotes are those that can take advantage of the urban landscape, but avoid interacting with humans directly. Coyotes thus seem to be pulled in two directions regarding human activity, and how an individual coyote behaves depends greatly on what they experience. Schell et al. [60] observed captive coyote pairs over successive litters and found that parents engaged in riskier behavior (i.e., foraged more frequently) with their second versus first litters, and that parental habituation may result in reduced fear of humans in their offspring. However, in field settings, urban coyotes usually avoid people spatially [17,61,62] and temporally [63]. Young et al. [64] found that coyotes that were hand-fed were more likely to subsequently approach humans and were harder to recondition towards avoidance, showing that loss of fear of humans and associated habituations are behaviors learned by individual coyotes. In other words, coyotes’ behavior regarding humans depends on humans’ behavior regarding coyotes. A potentially key component of this interplay may occur at a genetic level. There is evidence that domesticated and derived traits can be transferred back into wild relatives, and possibly confer an adaptive advantage. For instance, the melanistic K locus mutation causes melanism in coat color in North American wolves and derives from past hybridization with domestic dogs. This mutation is found at a high frequency in forested habitats and exhibits a molecular signature of positive selection, indicating it confers an adaptive advantage [65]. Similarly, reduced anxiety and fear towards humans may confer an adaptive advantage, at least to a point, to coyote individuals inhabiting and traversing human-dominated landscapes. Here, we examined three candidate alleles that are known to influence human-directed social behavior in canines [49]. These alleles are retrotransposons and their copy number increases sociability with humans. We wanted to determine if coyotes with higher dog genetic ancestry also potentially carried these derived alleles, which may explain the anecdotal information about the Elmjack coyotes as being more conditioned to humans. The dog-derived alleles segregate at high frequencies in dogs but are exceedingly rare, if not fully absent, in coyote populations [49]. In agreement with past surveys, we found that the majority of coyotes in our study carried no derived alleles at these loci. However, three coyotes were heterozygous for two of the three loci. Two of these coyotes were the putative father–offspring pair NY01–NY04 from Elmjack, which both have significant genome-wide dog ancestry, and exhibited unusual dog-like pelage patterns (Figure 1). Observing two heterozygous genotypes per coyote significantly increases the probability that they would show social behavior towards humans [49]. In fact, the Elmjack coyotes were euthanized due to human–coyote interactions, including observations of feeding by humans [27]. Diet analyses of the Elmjack coyotes found a high percentage of urban commensals (e.g., rats) and anthropogenic remains (e.g., foil, paper, and plastic) [27]. Given the preponderance of dog genetic ancestry concomitant with the diet analysis, these coyotes faced a difficult existence as their genetics may have predisposed them to human interactions in an environment where such interactions do not typically have a positive outcome for wildlife [64,66,67]. Interestingly, the third coyote to carry the derived alleles (MEW001) did not show any appreciable dog genetic ancestry. Although this pattern is seen in just one animal, it suggests that historical introgression from dogs into these urban coyotes may have an impact on behavioral traits. However, human-directed social behavior is a complex trait and can be influenced at an individual level by early life experiences as well as paternal habituation [60,68]. Our genetic evidence of recent coyote–dog hybrids, the small population size, and the relatively high frequency of hypersocial alleles suggest that genetic monitoring will be critical to understanding how to coexist with coyotes in the NYC area. Rapid genetic changes through occasional coyote–dog hybridization could lead to changes in genetic background and behavioral traits associated with urbanization [20]. The rate of F1 hybridizations may increase as coyotes enter eastern Long Island and have limited options for mates. Researchers should combine ecological and genetic studies to fully explore the trophic and human dimensions consequences of this ongoing range expansion.

5. Conclusions

We describe low levels of dog ancestry in the majority of the 16 coyotes analyzed from the New York Metropolitan area. However, the Elmjack pack had a documented history of increased human proximity and interactions. We discovered that the adult male suspected to be a first-generation coyote–dog hybrid carried 46% dog ancestry with two genetically-confirmed back-crossed offspring that carried approximately 25% dog ancestry. These coyotes also carried transposable element insertions that are associated with human-directed canine hypersociability, likely influencing their tolerance for human activity and interactions. These genetic patterns suggest that gene flow from domestic dogs may become an increasingly important consideration as coyotes continue to inhabit metropolitan regions.
  37 in total

1.  Rapid adaptive evolution of northeastern coyotes via hybridization with wolves.

Authors:  Roland Kays; Abigail Curtis; Jeremy J Kirchman
Journal:  Biol Lett       Date:  2009-09-23       Impact factor: 3.703

2.  Genome sequence, comparative analysis and haplotype structure of the domestic dog.

Authors:  Kerstin Lindblad-Toh; Claire M Wade; Tarjei S Mikkelsen; Elinor K Karlsson; David B Jaffe; Michael Kamal; Michele Clamp; Jean L Chang; Edward J Kulbokas; Michael C Zody; Evan Mauceli; Xiaohui Xie; Matthew Breen; Robert K Wayne; Elaine A Ostrander; Chris P Ponting; Francis Galibert; Douglas R Smith; Pieter J DeJong; Ewen Kirkness; Pablo Alvarez; Tara Biagi; William Brockman; Jonathan Butler; Chee-Wye Chin; April Cook; James Cuff; Mark J Daly; David DeCaprio; Sante Gnerre; Manfred Grabherr; Manolis Kellis; Michael Kleber; Carolyne Bardeleben; Leo Goodstadt; Andreas Heger; Christophe Hitte; Lisa Kim; Klaus-Peter Koepfli; Heidi G Parker; John P Pollinger; Stephen M J Searle; Nathan B Sutter; Rachael Thomas; Caleb Webber; Jennifer Baldwin; Adal Abebe; Amr Abouelleil; Lynne Aftuck; Mostafa Ait-Zahra; Tyler Aldredge; Nicole Allen; Peter An; Scott Anderson; Claudel Antoine; Harindra Arachchi; Ali Aslam; Laura Ayotte; Pasang Bachantsang; Andrew Barry; Tashi Bayul; Mostafa Benamara; Aaron Berlin; Daniel Bessette; Berta Blitshteyn; Toby Bloom; Jason Blye; Leonid Boguslavskiy; Claude Bonnet; Boris Boukhgalter; Adam Brown; Patrick Cahill; Nadia Calixte; Jody Camarata; Yama Cheshatsang; Jeffrey Chu; Mieke Citroen; Alville Collymore; Patrick Cooke; Tenzin Dawoe; Riza Daza; Karin Decktor; Stuart DeGray; Norbu Dhargay; Kimberly Dooley; Kathleen Dooley; Passang Dorje; Kunsang Dorjee; Lester Dorris; Noah Duffey; Alan Dupes; Osebhajajeme Egbiremolen; Richard Elong; Jill Falk; Abderrahim Farina; Susan Faro; Diallo Ferguson; Patricia Ferreira; Sheila Fisher; Mike FitzGerald; Karen Foley; Chelsea Foley; Alicia Franke; Dennis Friedrich; Diane Gage; Manuel Garber; Gary Gearin; Georgia Giannoukos; Tina Goode; Audra Goyette; Joseph Graham; Edward Grandbois; Kunsang Gyaltsen; Nabil Hafez; Daniel Hagopian; Birhane Hagos; Jennifer Hall; Claire Healy; Ryan Hegarty; Tracey Honan; Andrea Horn; Nathan Houde; Leanne Hughes; Leigh Hunnicutt; M Husby; Benjamin Jester; Charlien Jones; Asha Kamat; Ben Kanga; Cristyn Kells; Dmitry Khazanovich; Alix Chinh Kieu; Peter Kisner; Mayank Kumar; Krista Lance; Thomas Landers; Marcia Lara; William Lee; Jean-Pierre Leger; Niall Lennon; Lisa Leuper; Sarah LeVine; Jinlei Liu; Xiaohong Liu; Yeshi Lokyitsang; Tashi Lokyitsang; Annie Lui; Jan Macdonald; John Major; Richard Marabella; Kebede Maru; Charles Matthews; Susan McDonough; Teena Mehta; James Meldrim; Alexandre Melnikov; Louis Meneus; Atanas Mihalev; Tanya Mihova; Karen Miller; Rachel Mittelman; Valentine Mlenga; Leonidas Mulrain; Glen Munson; Adam Navidi; Jerome Naylor; Tuyen Nguyen; Nga Nguyen; Cindy Nguyen; Thu Nguyen; Robert Nicol; Nyima Norbu; Choe Norbu; Nathaniel Novod; Tenchoe Nyima; Peter Olandt; Barry O'Neill; Keith O'Neill; Sahal Osman; Lucien Oyono; Christopher Patti; Danielle Perrin; Pema Phunkhang; Fritz Pierre; Margaret Priest; Anthony Rachupka; Sujaa Raghuraman; Rayale Rameau; Verneda Ray; Christina Raymond; Filip Rege; Cecil Rise; Julie Rogers; Peter Rogov; Julie Sahalie; Sampath Settipalli; Theodore Sharpe; Terrance Shea; Mechele Sheehan; Ngawang Sherpa; Jianying Shi; Diana Shih; Jessie Sloan; Cherylyn Smith; Todd Sparrow; John Stalker; Nicole Stange-Thomann; Sharon Stavropoulos; Catherine Stone; Sabrina Stone; Sean Sykes; Pierre Tchuinga; Pema Tenzing; Senait Tesfaye; Dawa Thoulutsang; Yama Thoulutsang; Kerri Topham; Ira Topping; Tsamla Tsamla; Helen Vassiliev; Vijay Venkataraman; Andy Vo; Tsering Wangchuk; Tsering Wangdi; Michael Weiand; Jane Wilkinson; Adam Wilson; Shailendra Yadav; Shuli Yang; Xiaoping Yang; Geneva Young; Qing Yu; Joanne Zainoun; Lisa Zembek; Andrew Zimmer; Eric S Lander
Journal:  Nature       Date:  2005-12-08       Impact factor: 49.962

3.  Spatial genetic and morphologic structure of wolves and coyotes in relation to environmental heterogeneity in a Canis hybrid zone.

Authors:  John F Benson; Brent R Patterson; Tyler J Wheeldon
Journal:  Mol Ecol       Date:  2012-11-22       Impact factor: 6.185

4.  Stacks: an analysis tool set for population genomics.

Authors:  Julian Catchen; Paul A Hohenlohe; Susan Bassham; Angel Amores; William A Cresko
Journal:  Mol Ecol       Date:  2013-05-24       Impact factor: 6.185

5.  Assessment of coyote-wolf-dog admixture using ancestry-informative diagnostic SNPs.

Authors:  J Monzón; R Kays; D E Dykhuizen
Journal:  Mol Ecol       Date:  2013-11-26       Impact factor: 6.185

6.  The variant call format and VCFtools.

Authors:  Petr Danecek; Adam Auton; Goncalo Abecasis; Cornelis A Albers; Eric Banks; Mark A DePristo; Robert E Handsaker; Gerton Lunter; Gabor T Marth; Stephen T Sherry; Gilean McVean; Richard Durbin
Journal:  Bioinformatics       Date:  2011-06-07       Impact factor: 6.937

7.  Heritability of fear of humans in urban and rural populations of a bird species.

Authors:  Martina Carrete; Jesús Martínez-Padilla; Sol Rodríguez-Martínez; Natalia Rebolo-Ifrán; Antonio Palma; José L Tella
Journal:  Sci Rep       Date:  2016-08-08       Impact factor: 4.379

8.  Population Genomic Analysis of North American Eastern Wolves (Canis lycaon) Supports Their Conservation Priority Status.

Authors:  Elizabeth Heppenheimer; Ryan J Harrigan; Linda Y Rutledge; Klaus-Peter Koepfli; Alexandra L DeCandia; Kristin E Brzeski; John F Benson; Tyler Wheeldon; Brent R Patterson; Roland Kays; Paul A Hohenlohe; Bridgett M von Holdt
Journal:  Genes (Basel)       Date:  2018-12-04       Impact factor: 4.096

9.  Y-chromosome evidence supports asymmetric dog introgression into eastern coyotes.

Authors:  Tyler J Wheeldon; Linda Y Rutledge; Brent R Patterson; Bradley N White; Paul J Wilson
Journal:  Ecol Evol       Date:  2013-07-31       Impact factor: 2.912

10.  Interactions with humans shape coyote responses to hazing.

Authors:  Julie K Young; Edd Hammill; Stewart W Breck
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

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