Development of twenty-one novel microsatellite loci for Gila topminnow, Poeciliopsis occidentalis occidentalis.

BACKGROUND: Gila topminnow (Poeciliopsis occidentalis occidentalis) was once highly abundant throughout the Lower Colorado River Basin of the southwestern United States. However, this Sonoran Desert endemic suffered extreme population declines over the past century because of habitat degradation and nonnative species introductions. Much of the prior conservation genetic work conducted on the species relied upon a small number of microsatellite loci; many exhibiting low variability in extant populations. Consequently, there was a need for additional microsatellite loci to provide high-resolution delimitation of populations for conservation purposes. METHODS AND RESULTS: Paired-end Illumina sequencing was utilized to screen the Gila topminnow genome for novel microsatellite loci. We identified 21 novel loci that exhibited no deviations from expectations of genetic equilibrium, and cross-amplified in Yaqui topminnow (P. o. sonoriensis). These loci were amplified from 401 samples representing eight populations of Gila topminnow and Yaqui topminnow. Although diversity was low for all populations (observed heterozygosity = 0.12 to 0.45), these novel markers provided ample power to identify population of origin for each individual in Bayesian assignment tests. CONCLUSIONS: This novel set of microsatellite loci provide a useful genetic tool to assess population genetic parameters of the endangered Gila topminnow and delineate populations for identifying conservation priorities. The cross-amplification of these loci in Yaqui topminnow shows promise for application to other Poeciliopsis species of Mexico and Central America.

Phylogeographic and phenotypic outcomes of brown anole colonization across the Caribbean provide insight into the beginning stages of an adaptive radiation.

Some of the most important insights into the ecological and evolutionary processes of diversification and speciation have come from studies of island adaptive radiations, yet relatively little research has examined how these radiations initiate. We suggest that Anolis sagrei is a candidate for understanding the origins of the Caribbean Anolis adaptive radiation and how a colonizing anole species begins to undergo allopatric diversification, phenotypic divergence and, potentially, speciation. We undertook a genomic and morphological analysis of representative populations across the entire native range of A. sagrei, finding that the species originated in the early Pliocene, with the deepest divergence occurring between western and eastern Cuba. Lineages from these two regions subsequently colonized the northern Caribbean. We find that at the broadest scale, populations colonizing areas with fewer closely related competitors tend to evolve larger body size and more lamellae on their toepads. This trend follows expectations for post-colonization divergence from progenitors and convergence in allopatry, whereby populations freed from competition with close relatives evolve towards common morphological and ecological optima. Taken together, our results show a complex history of ancient and recent Cuban diaspora with populations on competitor-poor islands evolving away from their ancestral Cuban populations regardless of their phylogenetic relationships, thus providing insight into the original diversification of colonist anoles at the beginning of the radiation. Our research also supplies an evolutionary framework for the many studies of this increasingly important species in ecological and evolutionary research.

PCCA: a program for phylogenetic canonical correlation analysis.

UNLABELLED: PCCA (phylogenetic canonical correlation analysis) is a new program for canonical correlation analysis of multivariate, continuously valued data from biological species. Canonical correlation analysis is a technique in which derived variables are obtained from two sets of original variables whereby the correlations between corresponding derived variables are maximized. It is a very useful multivariate statistical method for the calculation and analysis of correlations between character sets. The program controls for species non-independence due to phylogenetic history and computes canonical coefficients, correlations and scores; and conducts hypothesis tests on the canonical correlations. It can also compute a multivariate version of Pagel's lambda, which can then be used in the phylogenetic transformation. AVAILABILITY: PCCA is distributed as DOS/Windows, Mac OS X and Linux/Unix executables with a detailed program manual and is freely available on the World Wide Web at: http://anolis.oeb.harvard.edu/~liam/programs/.