The Central American squirrel monkey (Saimiri oerstedii): introduced hybrid or endemic species?

Although squirrel monkeys (Saimiri spp., Primates: Cebidae) are abundant and widespread in South America, the disjunct Central American species, Saimiri oerstedii, has been restricted to the Pacific wet lowlands of Costa Rica and Panama since the earliest historical records. This taxon is now endangered in Costa Rica and nearly extinct in Panama because of habitat loss, development, and the pet trade. Conservation efforts have been hampered because of the influential, but untested, speculation that S. oerstedii represents a hybrid species introduced by prehispanic Amerind traders from multiple localities in South America. Using nuclear and mitochondrial DNA sequence data to reconstruct the phylogenetic relationships among Saimiri from Central and South America, we reexamine the taxonomic status of squirrel monkeys from different geographic regions. The sequence data support P. Hershkovitz's (1984, Am. J. Primatol. 6: 257-281) taxonomy advocating four distinct species. Combining this information with evidence from the fossil record to date the divergence times among sister taxa, we test and reject the hypothesis that Central American squirrel monkeys are the result of human introduction.     

The distribution of the coalescence time and the number of pairwise nucleotide differences in a model of population divergence or speciation with an initial period of gene flow

This paper is concerned with a model of “isolation with an initial period of migration”, where a panmictic ancestral population split into n descendant populations which exchanged migrants symmetrically at a constant rate for a period of time and subsequently became completely isolated. In the limit as the population split occurred an infinitely long time ago, the model becomes an “isolation after migration” model, describing completely isolated descendant populations which arose from a subdivided ancestral population. The probability density function of the coalescence time of a pair of genes and the probability distribution of the number of pairwise nucleotide differences are derived for both models. Whilst these are theoretical results of interest in their own right, they also give an exact analytical expression for the likelihood, for data consisting of the numbers of nucleotide differences between pairs of DNA sequences where each pair is at a different, independent locus. The behaviour of the distribution of the number of pairwise nucleotide differences under these models is illustrated and compared to the corresponding distributions under the “isolation with migration” and “complete isolation” models. It is shown that the distribution of the number of nucleotide differences between a pair of DNA sequences from different descendant populations in the model of “isolation with an initial period of migration” can be quite different from that under the “isolation with migration model”, even if the average migration rate over time (and hence the total number of migrants) is the same in both scenarios. It is also illustrated how the results can be extended to other demographic scenarios that can be described by a combination of isolated panmictic populations and “symmetric island” models.     

Estimating population divergence time and phylogeny from single-nucleotide polymorphisms data with outgroup ascertainment bias

The inference of population divergence times and branching patterns is of fundamental importance in many population genetic analyses. Many methods have been developed for estimating population divergence times, and recently, there has been particular attention towards genome-wide single-nucleotide polymorphisms (SNP) data. However, most SNP data have been affected by an ascertainment bias caused by the SNP selection and discovery protocols. Here, we present a modification of an existing maximum likelihood method that will allow approximately unbiased inferences when ascertainment is based on a set of outgroup populations. We also present a method for estimating trees from the asymmetric dissimilarity measures arising from pairwise divergence time estimation in population genetics. We evaluate the methods by simulations and by applying them to a large SNP data set of seven East Asian populations.     

Taxon sampling effects on the quantification and comparison of community phylogenetic diversity

Ecologists are increasingly making use of molecular phylogenies, especially in the fields of community ecology and conservation. However, these phylogenies are often used without full appreciation of their underlying assumptions and uncertainties. A frequent practice in ecological studies is inferring a phylogeny with molecular data from taxa only within the community of interest. These “inferred community phylogenies” are inherently biased in their taxon sampling. Despite the importance of comprehensive sampling in constructing phylogenies, the implications of using inferred community phylogenies in ecological studies have not been examined. Here, we evaluate how taxon sampling affects the quantification and comparison of community phylogenetic diversity using both simulated and empirical data sets. We demonstrate that inferred community trees greatly underestimate phylogenetic diversity and that the probability of incorrectly ranking community diversity can reach up to 25%, depending on the dating methods employed. We argue that to reach reliable conclusions, ecological studies must improve their taxon sampling and generate the best phylogeny possible.     

Migration patterns of Gentiana crassicaulis,an alpine gentian endemic to the Himalaya–Hengduan Mountains

The Himalaya–Hengduan Mountain region is one of the hotspots of biodiversity research. The uplift of the Qinghai–Tibetan Plateau (QTP) and the Quaternary glaciation caused great environmental changes in this region, and the responses of many species in the QTP to the Quaternary climate are still largely unknown. The genetic structure and phylogeographical history of Gentiana crassicaulis Duthie ex Burk, an endemic Chinese alpine species in this area, were investigated based on four chloroplast fragments and internal transcribed spacer region of the nuclear ribosomal DNA (nrITS) sequences of 11 populations. The populations with highly diverse chloroplast haplotypes were mainly found at the edge of the QTP. There were two main haplotypes of nrITS clones, one shared by the Yunnan and Guizhou populations, and the other by the remaining populations. The population with the highest diversity was the Gansu population, located at the edge of the plateau. Based on molecular dating, the diversification of G. crassicaulis at the edge of the plateau occurred before the Last Glacial Maximum (LGM), and the species may have completed its expansion from the edge to the platform. Ecological niche models were conducted to predict the distributional ranges of G. crassicaulis at present, during the LGM, and during the last interglacial (LIG) period. The results demonstrated that G. crassicaulis survived on the QTP platform and at the edge during the LGM but afterward retreated from the platform to the southern edge, followed by expansion to the platform.     

Discovery of a novel species,Theileria haneyi n. sp., infective to equids,highlights exceptional genomic diversity within the genus Theileria: implications for apicomplexan parasite surveillance

A novel apicomplexan parasite was serendipitously discovered in horses at the United States – Mexico border. Phylogenetic analysis based on 18S rDNA showed the erythrocyte-infective parasite to be related to, but distinct from, Theileria spp. in Africa, the most similar taxa being Theileria spp. from waterbuck and mountain zebra. The degree of sequence variability observed at the 18S rDNA locus also suggests the likely existence of additional cryptic species. Among described species, the genome of this novel equid Theileria parasite is most similar to that of Theileria equi, also a pathogen of horses. The estimated divergence time between the new Theileria sp. and T. equi, based on genomic sequence data, is greater than 33?million years. Average protein sequence divergence between them, at 23%, is greater than that of Theileria parva and Theileria annulata proteins, which is 18%. The latter two represent highly virulent Theileria spp. of domestic cattle, as well as of African and Asian wild buffalo, respectively, which differ markedly in pathology, host cell tropism, tick vector and geographical distribution. The extent of genome-wide sequence divergence, as well as significant morphological differences, relative to T. equi justify the classification of Theileria sp. as a new taxon. Despite the overall genomic divergence, the nine member equi merozoite antigen (EMA) superfamily, previously found as a multigene family only in T. equi, is also present in the novel parasite. Practically, significant sequence divergence in antigenic loci resulted in this undescribed Theileria sp. not being detectable using currently available diagnostic tests. Discovery of this novel species infective to equids highlights exceptional diversity within the genus Theileria, a finding with serious implications for apicomplexan parasite surveillance.     

Restriction Enzyme Analysis of Mitochondrial DNA of Acanthamoeba Strains in Japan

ABSTRACT. Eight isolates, identified as either Acanthamoeba castellanii or A. polyphaga from human eye infections, contact lens containers, and soil in Japan, were characterized by restriction fragment length polymorphisms (RFLP) of mitochondrial DNA (mtDNA). Mitochondrial DNA was digested with either Bgl II, Eco R I, Hind III, Hpa I, Sca I or Xba I, electrophoresed in agarose gels, and stained with ethidium bromide. Four distinct RFLP phenotypes that refer to the collection of six fragment size patterns obtained for a single strain with six enzymes, were discovered among the eight strains used in this study. Three strains morphologically classified as A. polyphaga share a single RFLP phenotype with the Ma strain of A. castellanii. The interspecific sequence differences of 7.06–12.74% in DNA nucleotide were estimated from the proportion of DNA fragments shared by each pair of mtDNA.