Open AccessLevels and patterns of population genetic diversity in the red seaweed C hondrus crispus ( F lorideophyceae): a direct comparison of single nucleotide polymorphisms and microsatellites
Author(s) -
Provan Jim,
Glendinning Keith,
Kelly Ruth,
Maggs Christine A.
Publication year - 2013
Publication title -
biological journal of the linnean society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.906
H-Index - 112
eISSN - 1095-8312
pISSN - 0024-4066
DOI - 10.1111/j.1095-8312.2012.02010.x
Subject(s) - biology , microsatellite , genetic diversity , evolutionary biology , population , single nucleotide polymorphism , genetic variation , genetics , genetic marker , genetic divergence , allele , genotype , gene , demography , sociology
Single nucleotide polymorphisms ( SNPs ) are predicted to supersede microsatellites as the marker of choice for population genetic studies in the near future. To date, however, very few studies have directly compared both marker systems in natural populations, particularly in non‐model organisms. In the present study, we compared the utility of SNPs and microsatellites for population genetic analysis of the red seaweed C hondrus crispus ( F lorideophyceae). Six SNP loci yielded very different patterns of intrapopulation genetic diversity compared to those obtained using seven moderately (mean 5.2 alleles) polymorphic microsatellite loci, although Bayesian clustering analysis gave largely congruent results between the two marker classes. A weak but significant pattern of isolation‐by‐distance was observed across scales from a few hundred metres to approximately 200 km using the combined SNP and microsatellite data set of 13 loci. Over larger scales, however, there was little correlation between genetic divergence and geographical distance. Our findings suggest that even a moderate number of SNPs is sufficient to determine patterns of genetic diversity across natural populations, and also highlight the fact that patterns of genetic variation in seaweeds arise through a complex interplay of short‐ and long‐term natural processes, as well as anthropogenic influence. © 2012 The Linnean Society of London, Biological Journal of the Linnean Society , 2012, 108 , 251–262.