An experimentally informed evolutionary model improves phylogenetic fit to divergent lactamase homologs

Jesse D Bloom

Phylogenetic analyses of molecular data require a quantitative model for how sequences evolve. Traditionally, the details of the site-specific selection that governs sequence evolution are unknown, and so most phylogenetic models treat this selection crudely with a variety of free parameters designed to represent general features of mutation and selection. However, recent advances in high-throughput experiments have made it possible to quantify the effects of all single mutations on gene function. I have previously shown that such high-throughput experiments can be combined with knowledge of underlying mutation rates to create a parameter-free evolutionary model that describes the phylogeny of influenza nucleoprotein far better than existing models. Here I extend this work by showing that published experimental data on TEM-1 beta-lactamase (Firnberg et al, 2014) can be combined with a few mutation rate parameters to create an evolutionary model that describes beta-lactamase phylogenies much better than existing models. This experimentally informed evolutionary model is superior even for homologs that are substantially diverged (about 35% divergence at the protein level) from the TEM-1 parent that was the subject of the experimental study. These results suggest that experimental measurements can inform phylogenetic evolutionary models that are applicable to homologs that span a substantial range of sequence divergence.

Multilocus Species Trees Show the Recent Adaptive Radiation of the Mimetic Heliconius Butterflies

Krzysztof M Kozak, Niklas Wahlberg, Andrew Neild, Kanchon K Dasmahapatra, James Mallet, Chris D Jiggins

Müllerian mimicry among Neotropical Heliconiini butterflies is an excellent example of natural selection, and is associated with the diversification of a large continental-scale radiation. Some of the processes driving the evolution of mimicry rings are likely to generate incongruent phylogenetic signals across the assemblage, and thus pose a challenge for systematics. We use a dataset of 22 mitochondrial and nuclear markers from 92% of species in the tribe to re-examine the phylogeny of Heliconiini with both supermatrix and multi-species coalescent approaches, characterise the patterns of conflicting signal and compare the performance of various methodological approaches to reflect the heterogeneity across the data. Despite the large extent of reticulate signal and strong conflict between markers, nearly identical topologies are consistently recovered by most of the analyses, although the supermatrix approach fails to reflect the underlying variation in the history of individual loci. The first comprehensive, time-calibrated phylogeny of this group is used to test the hypotheses of a diversification rate increase driven by the dramatic environmental changes in the Amazonia over the past 23 million years, or changes caused by diversity-dependent effects on the rate of diversification. We find that the tribe Heliconiini had doubled its rate of speciation around 11 Ma and that the presently most speciose genus Heliconius started diversifying rapidly at 10 Ma, likely in response to the recent drastic changes in topography of the region. Our study provides comprehensive evidence for a rapid adaptive radiation among an important insect radiation in the most biodiverse region of the planet.

Group A Rotavirus NSP4 is Under Negative Selective Pressure

Jackson Cordeiro Lima, Paulo Bandiera-Paiva
(Submitted on 2 Apr 2014)

Rotavirus (RV) is the major etiologic agent of severe infantile gastroenteritis; its genome has 11 segments of double stranded RNA, encoding 12 proteins. The non-structural protein 4 (NSP4) encoded by segment 10 is multifunctional. The aim of this study is to analyze the selective pressure driving the NSP4 of RV, through the ratio of non-synonymous substitutions per synonymous substitutions (dN/dS). Our results show that NSP4 is under negative evolutionary pressure (84.57% of the amino acid sequence) and no site was found under positive selection. This may support other evolutionary studies of different RV proteins or viral agents.