Large-scale gene flow in the barnacle Jehlius cirratus and contrasts with other broadly-distributed taxa along the Chilean coast

Zhejiang Ocean University, Zhejiang, China
Department of Genetics and Odum School of Ecology, University of Georgia, Athens, Georgia, USA
DOI
10.7287/peerj.preprints.596v3
Subject Areas
Biodiversity, Ecology, Evolutionary Studies, Marine Biology, Zoology
Keywords
barnacle, Chile, phylogeography, population genetics, biogeography
Copyright
© 2016 Guo et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Guo B, Wares JP. 2016. Large-scale gene flow in the barnacle Jehlius cirratus and contrasts with other broadly-distributed taxa along the Chilean coast. PeerJ Preprints 4:e596v3

Abstract

We evaluate the population genetic structure of the intertidal barnacle Jehlius cirratus across a broad portion of its geographic distribution using data from the mitochondrial cytochrome oxidase I (COI) gene region. Despite sampling diversity from over 3000km of the linear range of this species, there is only slight regional structure indicated, with overall ΦCT of 0.036 (p<0.001) yet no support for isolation by distance. While these results suggest greater structure than previous studies of J. cirratus had indicated, the pattern of diversity is still far more subtle than in other similarly-distributed species with similar larval and life history traits. We compare these data and results with recent findings in four other intertidal species that have planktotrophic larvae. There are no clear patterns among these taxa that can be associated with intertidal depth or other known life history traits.

Author Comment

We have now added many more sequences from central Chile, re-analyzed the data with more traditional statistics (e.g. AMOVA), and put these results in context of several recent publications on diversity and population genetics along the Chilean coast.