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57 results for “Genetic relatedness”

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dryad40/100

Data from: Using genetic relatedness to understand heterogeneous distributions of urban rat-associated pathogens

<p>Urban Norway rats (<i>Rattus norvegicus</i>) carry several pathogens transmissible to people. However, pathogen prevalence can vary across fine spatial scales (i.e., by city block). Using a population genomics approach, we sought to describe rat movement patterns across an urban landscape, and to evaluate whether these patterns align with pathogen distributions. We genotyped 605 rats from a single neighborhood in Vancouver, Canada and used 1,495 genome-wide single nucleotide polymorphisms to identify parent-offspring and sibling relationships using pedigree analysis. We resolved 1,246 pairs of relatives, of which only 1% of pairs were captured in different city blocks. Relatives were primarily caught within 33 meters of each other leading to a highly leptokurtic distribution of dispersal distances. Using binomial generalized linear mixed models we evaluated whether family relationships influenced rat pathogen status with the bacterial pathogens <i>Leptospira interrogans</i>, <i>Bartonella tribocorum</i>, and <i>Clostridium difficile</i>, and found that an individual's pathogen status was not predicted any better by including disease status of related rats. The spatial clustering of related rats and their pathogens lends support to the hypothesis that spatially restricted movement promotes the heterogeneous patterns of pathogen prevalence evidenced in this population. <span>Our findings also highlight the utility of evolutionary tools to understand movement and rat-associated health risks in urban landscapes.</span></p>

opencc-zeroDec 2019View details →
zenodo40/100

Figure 3 in Effects of genetic relatedness, spatial distance, and context on intraspecific aggression in the red wood ant Formica pratensis (Hymenoptera: Formicidae)

Figure 3. Correlation between spatial distance and aggression levels in the field. Open circles correspond to monodomous colonies and filled circles correspond to the polydomous one.

opencc-by-4.0Feb 2018View details →
zenodo40/100

Figure 1. Map showing the localities where F in Effects of genetic relatedness, spatial distance, and context on intraspecific aggression in the red wood ant Formica pratensis (Hymenoptera: Formicidae)

Figure 1. Map showing the localities where F. pratensis colonies were sampled for the analysis of genetic relatedness and tested for their aggressive behavior towards each other. The numbers denote the localities. 1: Balaban village (N 41°49ʹ18ʺ, E 27°40ʹ44ʺ) containing three nests; B1, B2, and B3, 2: Asilbeyli village (N 41°39ʹ32ʺ, E 27°13ʹ50ʺ), one nest (As), 3: Ulukonak village (N 41°39ʹ35ʺ, E 27°01ʹ52ʺ) one nest (U), 4: Doğanköy village (N 41°56ʹ12ʺ, E 26°41ʹ20ʺ) one nest (D), and 5: Ahmetler village (N 42°00ʹ37ʺ, E 27°11ʹ12ʺ), three nests; Ah1, Ah2, and Ah3.

opencc-by-4.0Feb 2018View details →
dryad40/100

Data from: Altruism or selfishness: Floral behavior based on genetic relatedness with neighboring plants

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publicMar 2025View details →
dryad40/100

Data from: Inbreeding and competitor’s genetic relatedness affect dynamic male color-ornament expression in a cichlid fish

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publicFeb 2025View details →
dryad40/100

Going with the flow? Relative importance of riverine hydrologic connectivity versus tidal influence for spatial structure of genetic diversity and relatedness in a foundational submersed aquatic plant

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publicMay 2025View details →
dryad40/100

Data from: Using genetic relatedness to understand heterogeneous distributions of urban rat-associated pathogens

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publicAug 2020View details →
zenodo36/100

Genome–scale approach to study the genetic relatedness among Brucella melitensis strains - wgMLST schema for Brucella melitensis

<p><strong>wgMLST schema for <em>Brucella melitensis</em></strong></p> <p>&nbsp;</p> <p><strong>Schema creation</strong></p> <p>The wgMLST schema was created using the&nbsp;60 complete genomes of&nbsp;<em>Brucella melitensis&nbsp;</em>available at&nbsp;<a href="https://enterobase.warwick.ac.uk/species/index/ecoli">NCBI</a>,&nbsp;as of January 2019,&nbsp;with the chewBBACA&nbsp;v2.0.11 suite (<a href="https://github.com/B-UMMI/chewBBACA">https://github.com/B-UMMI/chewBBACA</a>), using a training file generated by Prodigal v2.6.3 from the <em>B. melitensis</em> 16M reference genome (RefSeq Accession NC_003317 and NC_003318).&nbsp;For curation and validation, the wgMLST schema was&nbsp;further populated with 212 additional draft genomes:&nbsp;157 draft genomes (downloaded from NCBI in January 2019) and 55 draft genomes assembled with<a href="https://github.com/B-UMMI/INNUca">&nbsp;INNUca v3.1</a> (PRJEB30030).</p> <p>File &#39;Bmelitensis_wgMLST_2656_schema.tar.gz&#39; contains the&nbsp;wgMLST&nbsp;schema formatted for chewBBACA and includes a total of 2656 loci.</p>

opencc-by-4.0Dec 2019View details →
zenodo36/100

Staphylococcus aureus isolated from ruminants with mastitis in northern Greece dairy herds: genetic relatedness and phenotypic and genotypic characterization

<p>Figure S1: Dendrogram of SmaI PFGE pulsotypes (P) and characteristics of the 162 S. aureus isolates.</p>

opencc-by-2.0Jan 2021View details →
dryad36/100

Estimating the inbreeding level and genetic relatedness in an isolated population of critically endangered Sichuan taimen (Hucho bleekeri) using genome wide SNP markers

<p>Sichuan taimen (Hucho bleekeri) is critically endangered fish listed in The Red List of Threatened Species compiled by the International Union for Conservation of Nature (IUCN). Specific locus amplified fragment sequencing (SLAF-seq)-based genotyping was performed for Sichuan taimen with 43 yearling individuals from 3 locations in Taibai River (a tributary of Yangtze River) that has been sequestered from its access to the ocean for more than 30 years since late 1980s. Applying the inbreeding level and genetic relatedness estimation using 15,396 genome wide SNP markers, we found that the inbreeding level of this whole isolated population was at a low level (average F=2.6×10-3±0.079), and the means of coancestry coefficients within and between the three sampling locations were all very low (close to 0), too. Genomic differentiation was negatively correlated with the geographical distances between the sampling locations (p &lt; 0.001) and the 43 individuals could be considered as genetically independent two groups. The low levels of genomic inbreeding and relatedness indicated a relatively large number of sexually mature individuals were involved in reproduction in Taibai River. This study suggested a genomic-relatedness-guided breeding and conservation strategy for wild fish species without pedigree information records.</p>

opencc-zeroJan 2021View details →
zenodo36/100

Fig. 2. A in A preliminary study of genetic structure and relatedness analysis of Nutria (Myocastor coypus) in Upo Wetland

Fig. 2. A bar plot representing the estimated membership coefficients of nutria individuals (K=2).

opencc-by-4.0Feb 2012View details →
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Fig. 1 in A preliminary study of genetic structure and relatedness analysis of Nutria (Myocastor coypus) in Upo Wetland

Fig. 1. Maps denoting Upo Wetland where nutrias were collected.

opencc-by-4.0Feb 2012View details →
dryad36/100

Exploring the role of genetic diversity and relatedness in tree seedling growth and mortality: a multi‐species study in a Bornean rain forest

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publicNov 2019View details →
dryad36/100

Estimating the inbreeding level and genetic relatedness in an isolated population of critically endangered Sichuan taimen (Hucho bleekeri) using genome wide SNP markers

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publicFeb 2020View details →
dryad36/100

Effects of hunting on mating, relatedness, and genetic diversity in a puma population

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publicDec 2023View details →
dryad36/100

Data from: Quality and quantity of genetic relatedness data affect the analysis of social structure

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publicApr 2019View details →
dryad36/100

Genetic relatedness in social groups of the emerald coral goby Paragobiodon xanthosoma creates potential for weak kin selection

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publicMar 2021View details →
dryad32/100

Data from: Friends and Family: a software program for identification of unrelated individuals from molecular marker data. And from: Genetic diversity, relatedness and inbreeding of ranched and fragmented Cape buffalo populations in southern Africa

The identification of related and unrelated individuals from molecular marker data is often difficult, particularly when no pedigree information is available and the data set is large. High levels of relatedness or inbreeding can influence genotype frequencies and thus genetic marker evaluation, as well as the accurate inference of hidden genetic structure. Identification of related and unrelated individuals is also important in breeding programmes, to inform decisions about breeding pairs and translocations. We present Friends and Family, a Windows executable program with a graphical user interface that identifies unrelated individuals from a pairwise relatedness matrix or table generated in programs such as COANCESTRY and GenAlEx. Friends and Family outputs a list of samples that are all unrelated to each other, based on a user-defined relatedness cut-off value. This unrelated data set can be used in downstream analyses, such as marker evaluation or inference of genetic structure. The results can be compared to that of the full data set to determine the effect related individuals have on the analyses. We demonstrate one of the applications of the program: how the removal of related individuals altered the Hardy-Weinberg equilibrium test outcome for microsatellite markers in an empirical data set. Friends and Family can be obtained from https://github.com/DeondeJager/Friends-and-Family.

opencc-zeroDec 2016View details →
dryad32/100

Data from: The genetic relatedness in groups of joint-nesting Taiwan Yuhinas: low genetic relatedness with preferences for male kin

The relative importance of direct and indirect fitness and, thus, the role of kinship in the evolution of social behavior is much debated. Studying the genetic relatedness of interacting individuals is crucial to improving our understanding of these issues. Here, we used a seven-year data set to study the genetic structure of the Taiwan yuhina (Yuhina brunneciceps), a joint-nesting passerine. Ten microsatellite loci were used to investigate the pair-wised relatedness among yuhina breeding group members. We found that the average genetic relatedness between same-sex group members was very low (0.069 for male dyads and 0.016 for female dyads). There was also a low ratio of closely-related kin (r&gt;0.25) in the cooperative breeding groups of yuhinas (21.59% and 9.68% for male and female dyads, respectively). However, the relatedness of male dyads within breeding groups was significantly higher than female dyads. Our results suggest that yuhina cooperation is maintained primarily by direct fitness benefits to individuals; however, kin selection might play a role in partner choice for male yuhinas. Our study also highlights an important, but often neglected, question: Why do animals form non-kin groups, if kin are available? We use biological market theory to propose an explanation for group formation of unrelated Taiwan yuhinas.

opencc-zeroDec 2014View details →
dryad32/100

Data from: Habitat selection predicts genetic relatedness in an alpine ungulate

Landscape heterogeneity plays an integral role in shaping ecological and evolutionary processes. Despite links between the two disciplines, ecologists and population geneticists have taken different approaches to evaluating habitat selection, animal movement, and gene flow across the landscape. Ecologists commonly use statistical models such as resource selection functions (RSFs) to identify habitat features disproportionately selected by animals, while population genetic approaches model genetic differentiation according to the distribution of habitat variables. We combined ecological and genetic approaches by using RSFs and step-selection functions (SSFs) to predict genetic relatedness across a heterogeneous landscape. We constructed sex and season-specific resistance surfaces based on RSFs and SSFs estimated using data from 102 GPS radiocollared mountain goats (Oreamnos americanus) in southeast Alaska. Based on mountain goat ecology, we hypothesized that summer and male surfaces would be the best predictors of relatedness. All individuals were genotyped at 22 microsatellite loci, which we used to estimate genetic relatedness. Summer resistance surfaces derived from RSFs were the best predictors of genetic relatedness, and winter models the poorest. Male and female specific surfaces were similar, except for winter where male habitat selection better predicted genetic relatedness. The null models of isolation-by-distance and barrier only outperformed the winter models. This study merges high-resolution individual locations through GPS telemetry and genetic data, that can be used to validate and parameterize landscape genetics models, and further elucidates the relationship between landscape heterogeneity and genetic differentiation.

opencc-zeroDec 2011View details →

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