A detailed study of leaf micromorphology and anatomy of New World Vitis L. subgenus Vitis within a phylogenetic and ecological framework reveals evolutionary convergence

We investigated leaf anatomy and micromorphology in the New World Vitis using light and scanning electron microscopy to understand the correlation of these traits to molecular phylogenetic relationships and environmental affinity. We observed traits known to differ among species of Vitis with importance in traditional taxonomy of Vitis: trichome type, stomata morphology, mesophyll organization, and midrib vascularization. We found that traits associated with water conductance and photosynthesis comprised the highest loadings of axis one of a principal components analysis (PCA) while traits related to gas exchange (i.e., the stomatal apparatus) had high loadings on axis two. Using the PCA, we identified seven clusters of species, which showed little correlation to recently reported molecular phylogenetic relationships. Moreover, analyses using Bayes Traits and Bayesian Binary Method revealed little to no phylogenetic signal in trait evolution. PCA axes one and two separated species occurring in dry southwestern North American habitats from those in mesic places. For example, a cluster of V. monticola and V. arizonica occurred adjacent to a cluster of V. californica and V. girdiana in ordination space, and the latter three species share key leaf anatomical traits. Nevertheless, among these, only V. arizonica and V. girdiana are closely related according to molecular phylogeny. Thus, the leaf micromorphological/anatomical traits of Vitis observed in this study are highly correlated with environment, but not phylogenetic relationships. We expect that trait similarities among distantly related species may result from evolutionary convergences, especially within xeric habitats of western North America.     

A population genetics perspective on the evolutionary histories of three clonal,endemic, and dominant grass species of the Qinghai–Tibet Plateau: Orinus (Poaceae)

We performed analyses of amplified fragment length polymorphism (AFLP) in order to characterize the evolutionary history of Orinus according to its population genetic structure, as well as to investigate putative hybrid origins of O. intermedius and to provide additional insights into relationships among species. The genus Orinus comprises three clonal grasses that are dominant species within xeric alpine grasslands of the Qinghai–Tibet Plateau (QTP). Here, we used eight selectively obtained primer pairs of EcoRI/MseI to perform amplifications in 231 individuals of Orinus representing 48 populations and all three species. We compared our resulting data to genetic models of hybridization using a Bayesian algorithm within NewHybrids software. We determined that genetic variation in Orinus was 56.65% within populations while the among‐species component was 30.04% using standard population genetics statistics. Nevertheless, we detected that species of Orinus were clustered into three highly distinct genetic groups corresponding to classic species identities. Our results suggest that there is some introgression among species. Thus, we tested explicit models of hybridization using a Bayesian approach within NewHybrids software. However, O. intermedius likely derives from a common ancestor with O. kokonoricus and is probably not the result of hybrid speciation between O. kokonoricus and O. thoroldii. We suspect that recent isolation of species of Orinus in allopatry via vicariance may explain the patterns in diversity that we observed, and this is corroborated by a Mantel test that showed significant positive correlation between geographic and genetic distance (r = 0.05, p < 0.05). Recent isolation may explain why Orinus differs from many other clonal species by exhibiting the highest diversity within populations rather than among them.     

Soluble IL-18 receptor complex: a new star in the firmament of rheumatoid arthritis diagnosis?

It has long been recognized that laboratory tests are useful in the diagnosis of disease and to monitor treatment outcome. Their performance has become even more demanding with the development of personalized medicine. In patients with rheumatoid arthritis (RA) the standard biochemical tests measure serological markers of disease, such as C-reactive protein, and RA-associated auto-antibodies, such as rheumatoid factor and anti-citrullinated protein antibodies. The information obtained from these markers does not, however, provide a complete picture of the disease and treatment efficacy. New biomarkers based on cytokine receptor complexes are promising for RA theragnostics.