Comparison of Bray Curtis and Nei’s Genetic Distance on Mantel Test for Chicken Diversity Data
Hasan Önder, Levent Mercan
Abstract
Open-access reader
Hasan Önder, Levent Mercan
Abstract
Open-access reader
In this study we aimed to examine the effects of both Nei’s genetic distance and Bray Curtis distance versus geographical distance for Mantel test on chicken diversity data. Many researchers used Nei’s genetic distance which measure that genetic differences arise due to mutations and genetic drift but some researchers used Bray Curtis distance which used to quantify the compositional dissimilarity between two different locations. We used molecular data from 28 microsatellite loci with the sample size of 364 local chicken from 45 locations and Euclidean distance of this locations using Google Earth v.4. Mantel test results suggest that relationship between genetic differentiations and geographic distance between populations using Bray Curtis distance could be substituted for Nei’s genetic distance with great reliability on chicken diversity data.
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In this study we aimed to examine the effects of both Nei’s genetic distance and Bray Curtis distance versus geographical distance for Mantel test on chicken diversity data. Many researchers used Nei’s genetic distance which measure that genetic differences arise due to mutations and genetic drift but some researchers used Bray Curtis distance which used to quantify the compositional dissimilarity between two different locations. We used molecular data from 28 microsatellite loci with the sample size of 364 local chicken from 45 locations and Euclidean distance of this locations using Google Earth v.4. Mantel test results suggest that relationship between genetic differentiations and geographic distance between populations using Bray Curtis distance could be substituted for Nei’s genetic distance with great reliability on chicken diversity data.
Key concepts: Mantel test, Genetic distance, Geographical distance, Euclidean distance, Genetic diversity, Isolation by distance, Distance measures, Statistics