Sequence determinants of a transmembrane proton channel: an inverse relationship between stability and function

The driving forces behind the folding processes of integral membrane proteins after insertion into the bilayer, is currently under debate. The M2 protein from the influenza A virus is an ideal system to study lateral association of transmembrane helices. Its proton selective channel is essential for virus functioning and a target of the drug amantadine. A 25 residue transmembrane fragment of M2, M2TM, forms a four-helix bundle in vivo and in various detergents and phospholipid bilayers. Presented here are the energetic consequences for mutations made to the helix/helix interfaces of the M2TM tetramer. Analytical ultracentrifugation has been used to determine the effect of ten single-site mutations, to either alanine or phenylalanine, on the oligomeric state and the free energy of M2TM in the absence and the presence of amantadine. It was expected that many of these mutations would perturb the M2TM stability and tetrameric integrity. Interestingly, none of the mutations destabilize tetramerization. This finding suggests that M2 sacrifices stability to preserve its functions, which require rapid and specific interchange between distinct conformations involved in gating and proton conduction. Mutations might therefore restrict the full range of conformations by stabilizing a given native or non-native conformational state. In order to assess one specific conformation of the tetramer, we measured the binding of amantadine to the resting state of the channel, and examined the overall free energy of assembly of the amantadine bound tetramer. All of the mutations destabilized amantadine binding or were isoenergetic. We also find that large to small residue changes destabilize the amantadine bound tetramer whereas mutations to side-chains of similar volume stabilize this conformation. A structural model of the amantadine bound state of M2TM was generated using a novel protocol that optimizes a structure for an ensemble of neutral and disruptive mutations. The model structure is consistent with the mutational data.     

Landscape-scale patterns of shrub-species abundance in California chaparral – The role of topographically mediated resource gradients

We examine the degree to which landscape-scale spatial patterns of shrub-species abundance in California chaparral reflect topographically mediated environmental conditions, and evaluate whether these patterns correspond to known ecophysiological plant processes. Regression tree models are developed to predict spatial patterns in the abundance of 12 chaparral shrub and tree species in three watersheds of the Santa Ynez Mountains, California. The species response models are driven by five variables: average annual soil moisture, seasonal variability in soil moisture, average annual photosynthetically active radiation, maximum air temperature over the dry season (May–October), and substrate rockiness. The energy and moisture variables are derived by integrating high resolution (10 m) digital terrain data and daily climate observations with a process-based hydro-ecological model (RHESSys). Field-sampled data on species abundance are spatially integrated with the distributed environmental variables for developing and evaluating the species response models.The species considered are differentially distributed along topographically-mediated environmental gradients in ways that are consistent with known ecophysiological processes. Spatial patterns in shrub abundance are most strongly associated with annual soil moisture and solar radiation. Substrate rockiness is also closely associated with the establishment of certain species, such as Adenostoma fasciculatum and Arctostaphylos glauca. In general, species that depend on fire for seedling recruitment (e.g., Ceanothous megacarpus) occur at high abundance in xeric environments, whereas species that do not depend on fire (e.g., Heteromeles arbutifolia) occur at higher abundance in mesic environments. Model performance varies between species and is related to life history strategies for regeneration. The scale of our analysis may be less effective at capturing the processes that underlie the establishment of species that do not depend on fire for recruitment. Analysis of predication errors in relation to environmental conditions and the abundance of potentially competing species suggest factors not explicitly considered in the species response models.