Fine-scale population structure and sex-biased dispersal in bobcats (Lynx rufus) from southern Illinois

2010 ◽  
Vol 88 (6) ◽  
pp. 536-545 ◽  
Author(s):  
Emily K. Croteau ◽  
Edward J. Heist ◽  
Clayton K. Nielsen
Keyword(s):  
Population Structure ◽  
Spatial Autocorrelation ◽  
Clustering Algorithm ◽  
Null Distribution ◽  
Randomization Test ◽  
Lynx Rufus ◽  
Southern Illinois ◽  
Significant Relationships ◽  
Close Proximity ◽  
Scale Population

In mammal populations, the spatial and genetic structure can be affected by dispersal, philopatry, and relatedness. Bobcats ( Lynx rufus (Schreber, 1777)) are thought to exhibit typical mammalian dispersal behaviour where males disperse and females are philopatric, potentially leading to higher relatedness among females compared with males. We used 10 microsatellite loci to examine population structure and sex-biased dispersal in 146 bobcats sampled in southern Illinois during 1993–2001 using population genetic descriptive statistics, a Bayesian clustering algorithm, relatedness (rxy), and autocorrelation analyses. A randomization test demonstrated that female dyads had significantly higher rxy values with respect to randomly selected dyads (rxy = 0.093 ± 0.222, P = 0.012) and spatial autocorrelation analyses determined that females in close proximity (<5 km) had a high probability of being related (P = 0.001). Conversely, rxy values for males were not different from the null distribution (rxy = 0.019 ± 0.122, P = 0.3158) and no significant relationships were found with spatial autocorrelation analysis. Additionally, it was demonstrated that bobcats in southern Illinois approximated a panmictic population with no obvious barriers to gene flow. The pattern of relatedness observed in this study confirmed that females were philopatric and males dispersed, corroborating existing observational data for this species.

Genome-Wide Single Nucleotide Polymorphisms are Robust in Resolving Fine-Scale Population Genetic Structure of the Small Brown Planthopper, Laodelphax striatellus (Fallén) (Hemiptera: Delphacidae)

2019 ◽  
Vol 112 (5) ◽  
pp. 2362-2368
Author(s):  
Yan Liu ◽  
Lei Chen ◽  
Xing-Zhi Duan ◽  
Dian-Shu Zhao ◽  
Jing-Tao Sun ◽  
...  
Keyword(s):  
Population Structure ◽  
Discriminant Analysis ◽  
Genetic Structure ◽  
Population Genetic ◽  
Brown Planthopper ◽  
Fine Scale ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Small Brown Planthopper ◽  
Scale Population

Abstract Deciphering genetic structure and inferring migration routes of insects with high migratory ability have been challenging, due to weak genetic differentiation and limited resolution offered by traditional genotyping methods. Here, we tested the ability of double digest restriction-site associated DNA sequencing (ddRADseq)-based single nucleotide polymorphisms (SNPs) in revealing the population structure relative to 13 microsatellite markers by using four small brown planthopper populations as subjects. Using ddRADseq, we identified 230,000 RAD loci and 5,535 SNP sites, which were present in at least 80% of individuals across the four populations with a minimum sequencing depth of 10. Our results show that this large SNP panel is more powerful than traditional microsatellite markers in revealing fine-scale population structure among the small brown planthopper populations. In contrast to the mixed population structure suggested by microsatellites, discriminant analysis of principal components (DAPC) of the SNP dataset clearly separated the individuals into four geographic populations. Our results also suggest the DAPC analysis is more powerful than the principal component analysis (PCA) in resolving population genetic structure of high migratory taxa, probably due to the advantages of DAPC in using more genetic variation and the discriminant analysis function. Together, these results point to ddRADseq being a promising approach for population genetic and migration studies of small brown planthopper.

Evidence for a large-scale population structure among accessions of Arabidopsis thaliana: possible causes and consequences for the distribution of linkage disequilibrium

2006 ◽  
Vol 15 (6) ◽  
pp. 1507-1517 ◽  
Author(s):  
MARIE-FRANCE OSTROWSKI ◽  
JACQUES DAVID ◽  
SYLVAIN SANTONI ◽  
HEATHER MCKHANN ◽  
XAVIER REBOUD ◽  
...  
Keyword(s):  
Arabidopsis Thaliana ◽  
Population Structure ◽  
Linkage Disequilibrium ◽  
Large Scale ◽  
Scale Population

Empirical Evaluation of Genetic Clustering Methods Using Multilocus Genotypes From 20 Chicken Breeds

Genetics ◽  
2001 ◽  
Vol 159 (2) ◽  
pp. 699-713
Author(s):  
Noah A Rosenberg ◽  
Terry Burke ◽  
Kari Elo ◽  
Marcus W Feldman ◽  
Paul J Freidlin ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Population Structure ◽  
Clustering Algorithm ◽  
Empirical Evaluation ◽  
Unknown Origin ◽  
Clustering Methods ◽  
Genetic Cluster ◽  
Data Set ◽  
Multilocus Genotypes ◽  
Chicken Breeds

Abstract We tested the utility of genetic cluster analysis in ascertaining population structure of a large data set for which population structure was previously known. Each of 600 individuals representing 20 distinct chicken breeds was genotyped for 27 microsatellite loci, and individual multilocus genotypes were used to infer genetic clusters. Individuals from each breed were inferred to belong mostly to the same cluster. The clustering success rate, measuring the fraction of individuals that were properly inferred to belong to their correct breeds, was consistently ~98%. When markers of highest expected heterozygosity were used, genotypes that included at least 8–10 highly variable markers from among the 27 markers genotyped also achieved &gt;95% clustering success. When 12–15 highly variable markers and only 15–20 of the 30 individuals per breed were used, clustering success was at least 90%. We suggest that in species for which population structure is of interest, databases of multilocus genotypes at highly variable markers should be compiled. These genotypes could then be used as training samples for genetic cluster analysis and to facilitate assignments of individuals of unknown origin to populations. The clustering algorithm has potential applications in defining the within-species genetic units that are useful in problems of conservation.

scholarly journals Correction: Fine-Scale Population Structure of Blue Whale Wintering Aggregations in the Gulf of California

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
Author(s):  
Paula Costa-Urrutia ◽  
Simona Sanvito ◽  
Nelva Victoria-Cota ◽  
Luis Enríquez-Paredes ◽  
Diane Gendron
Keyword(s):  
Population Structure ◽  
Gulf Of California ◽  
Fine Scale ◽  
Blue Whale ◽  
Scale Population

scholarly journals Fine-scale population structure of Malays in Peninsular Malaysia and Singapore and implications for association studies

2015 ◽  
Vol 9 (1) ◽  
Author(s):  
Boon-Peng Hoh ◽  
Lian Deng ◽  
Mat Jusoh Julia-Ashazila ◽  
Zakaria Zuraihan ◽  
Ma’amor Nur-Hasnah ◽  
...  
Keyword(s):  
Population Structure ◽  
Association Studies ◽  
Peninsular Malaysia ◽  
Fine Scale ◽  
Scale Population
Sign in / Sign up

Export Citation Format

Share Document