
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Model-based analysis supports interglacial refugia over long-dispersal events in the diversification of two South American cactus species

Model-based analysis supports interglacial refugia over long-dispersal events in the diversification of two South American cactus species
Pilosocereus machrisii and P. aurisetus are cactus species within the P. aurisetus complex, a group of eight cacti that are restricted to rocky habitats within the Neotropical savannas of eastern South America. Previous studies have suggested that diversification within this complex was driven by distributional fragmentation, isolation leading to allopatric differentiation, and secondary contact among divergent lineages. These events have been associated with Quaternary climatic cycles, leading to the hypothesis that the xerophytic vegetation patches which presently harbor these populations operate as refugia during the current interglacial. However, owing to limitations of the standard phylogeographic approaches used in these studies, this hypothesis was not explicitly tested. Here we use Approximate Bayesian Computation to refine the previous inferences and test the role of different events in the diversification of two species within P. aurisetus group. We used molecular data from chloroplast DNA and simple sequence repeats loci of P. machrisii and P. aurisetus, the two species with broadest distribution in the complex, in order to test if the diversification in each species was driven mostly by vicariance or by long-dispersal events. We found that both species were affected primarily by vicariance, with a refuge model as the most likely scenario for P. aurisetus and a soft vicariance scenario most probable for P. machrisii. These results emphasize the importance of distributional fragmentation in these species, and add support to the hypothesis of long-term isolation in interglacial refugia previously proposed for the P. aurisetus species complex diversification.
- University System of Ohio United States
- Federal University of São Carlos Brazil
- The Ohio State University United States
- The Ohio State University at Marion United States
- Federal University of São Carlos Brazil
Cactaceae, DNA, Plant, Models, Genetic, Plant Dispersal, DNA, Chloroplast, Bayes Theorem, Sequence Analysis, DNA, South America, Biological Evolution, Phylogeography, Genetics, Population, Refugium, Computer Simulation, Ecosystem, Microsatellite Repeats
Cactaceae, DNA, Plant, Models, Genetic, Plant Dispersal, DNA, Chloroplast, Bayes Theorem, Sequence Analysis, DNA, South America, Biological Evolution, Phylogeography, Genetics, Population, Refugium, Computer Simulation, Ecosystem, Microsatellite Repeats
12 Research products, page 1 of 2
- 2016IsAmongTopNSimilarDocuments
- 2018IsAmongTopNSimilarDocuments
- 2014IsAmongTopNSimilarDocuments
- 2016IsAmongTopNSimilarDocuments
- 2016IsAmongTopNSimilarDocuments
- 2016IsAmongTopNSimilarDocuments
- 2016IsAmongTopNSimilarDocuments
chevron_left - 1
- 2
chevron_right
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).30 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
