Tracing the evolution of novel features of human Toll-like receptor 4.

Toll-like receptor 4 (TLR4) is a critical innate immune protein that activates inflammation in response to extracellular cues. Much of the work to understand how the protein works in humans has been done using mouse models. Although human and mouse TLR4 have many shared features, they have also diverged significantly since their last common ancestor, acquiring 277 sequence differences. Functional differences include the extent of ligand-independent activation, whether lipid IVa acts as an antagonist or agonist, and the relative species cross-compatibility of their MD-2 cofactor. We set out to understand the evolutionary origins for these functional differences between human and mouse TLR4. Using a combination of phylogenetics, ancestral sequence reconstruction, and functional characterization, we found that evolutionary changes to the human TLR4, rather than changes to the mouse TLR4, were largely responsible for these functional changes. Human TLR4 repressed ancestral ligand-independent activity and gained antagonism to lipid IVa. Additionally, mutations to the human TLR4 cofactor MD-2 led to lineage-specific incompatibility between human and opossum TLR4 complex members. These results were surprising, as mouse TLR4 has acquired many more mutations than human TLR4 since their last common ancestor. Our work has polarized this set of transitions and sets up work to study the mechanistic underpinnings for the evolution of new functions in TLR4.

Dynamic allostery can drive cold adaptation in enzymes.

Adaptation of organisms to environmental niches is a hallmark of evolution. One prevalent example is that of thermal adaptation, in which two descendants evolve at different temperature extremes1,2. Underlying the physiological differences between such organisms are changes in enzymes that catalyse essential reactions 3 , with orthologues from each organism undergoing adaptive mutations that preserve similar catalytic rates at their respective physiological temperatures4,5. The sequence changes responsible for these adaptive differences, however, are often at surface-exposed sites distant from the substrate-binding site, leaving the active site of the enzyme structurally unperturbed6,7. How such changes are allosterically propagated to the active site, to modulate activity, is not known. Here we show that entropy-tuning changes can be engineered into distal sites of Escherichia coli adenylate kinase, allowing us to quantitatively assess the role of dynamics in determining affinity, turnover and the role in driving adaptation. The results not only reveal a dynamics-based allosteric tuning mechanism, but also uncover a spatial separation of the control of key enzymatic parameters. Fluctuations in one mobile domain (the LID) control substrate affinity, whereas dynamic attenuation in the other domain (the AMP-binding domain) affects rate-limiting conformational changes that govern enzyme turnover. Dynamics-based regulation may thus represent an elegant, widespread and previously unrealized evolutionary adaptation mechanism that fine-tunes biological function without altering the ground state structure. Furthermore, because rigid-body conformational changes in both domains were thought to be rate limiting for turnover8,9, these adaptation studies reveal a new model for understanding the relationship between dynamics and turnover in adenylate kinase.

Conservation of Specificity in Two Low-Specificity Proteins.

Many regulatory proteins bind peptide regions of target proteins and modulate their activity. Such regulatory proteins can often interact with highly diverse target peptides. In many instances, it is not known if the peptide-binding interface discriminates targets in a biological context, or whether biological specificity is achieved exclusively through external factors such as subcellular localization. We used an evolutionary biochemical approach to distinguish these possibilities for two such low-specificity proteins: S100A5 and S100A6. We used isothermal titration calorimetry to study the binding of peptides with diverse sequence and biochemistry to human S100A5 and S100A6. These proteins bound distinct, but overlapping, sets of peptide targets. We then studied the peptide binding properties of orthologs sampled from across five amniote species. Binding specificity was conserved along all lineages, for the last 320 million years, despite the low specificity of each protein. We used ancestral sequence reconstruction to determine the binding specificity of the last common ancestor of the paralogs. The ancestor bound the entire set of peptides bound by modern S100A5 and S100A6 proteins, suggesting that paralog specificity evolved via subfunctionalization. To rule out the possibility that specificity is conserved because it is difficult to modify, we identified a single historical mutation that, when reverted in human S100A5, gave it the ability to bind an S100A6-specific peptide. These results reveal strong evolutionary constraints on peptide binding specificity. Despite being able to bind a large number of targets, the specificity of S100 peptide interfaces is likely important for the biology of these proteins.

Disordered allostery: lessons from glucocorticoid receptor.

Allostery is a biological regulation mechanism of significant importance in cell signaling, metabolism, and disease. Although the ensemble basis of allostery has been known for years, only recently has emphasis shifted from interpreting allosteric mechanism in terms of discrete structural pathways to ones that focus on the statistical nature of the signal propagation process, providing a vehicle to unify allostery in structured, dynamic, and disordered systems. In particular, intrinsically disordered (ID) proteins (IDPs), which lack a unique, stable structure, have been directly demonstrated to exhibit allostery in numerous systems, a reality that challenges traditional structure-based models that focus on allosteric pathways. In this chapter, we will discuss the historical context of allostery and focus on studies from human glucocorticoid receptor (GR), a member of the steroid hormone receptor (SHR) family. The numerous translational isoforms of the disordered N-terminal domain of GR consist of coupled thermodynamic domains that contribute to the delicate balance of states in the ensemble and hence in vivo activity. The data are quantitatively interpreted using the ensemble allosteric model (EAM) that considers only the intrinsic and measurable energetics of allosteric systems. It is demonstrated that the EAM provides mechanistic insight into the distribution of states in solution and provides an interpretation for how certain translational isoforms of GR display enhanced and repressed transcriptional activities. The ensemble nature of allostery illuminated from these studies lends credence to the EAM and provides ground rules for allostery in all systems.

Fetal and neonatal iron deficiency reduces thyroid hormone-responsive gene mRNA levels in the neonatal rat hippocampus and cerebral cortex.

Copper (Cu), iron (Fe), and thyroid hormone (TH) deficiencies produce similar defects in late brain development including hypomyelination of axons and impaired synapse formation and function, suggesting that these micronutrient deficiencies share a common mechanism contributing to these derangements. We previously demonstrated that fetal/neonatal Cu and Fe deficiencies lower circulating TH concentrations in neonatal rats. Fe deficiency also reduces whole-brain T(3) content, suggesting impaired TH action in the developing Fe-deficient brain. We hypothesized that fetal/neonatal Cu and Fe deficiencies will produce mild or moderate TH deficiencies and will impair TH-responsive gene expression in the neonatal cerebral cortex and hippocampus. To test this hypothesis, we rendered pregnant Sprague Dawley rats Cu-, Fe-, or TH-deficient from early gestation through postnatal d 10 (P10). Mild and moderate TH deficiencies were induced by 1 and 3 ppm propylthiouracil treatment, respectively. Cu deficiency did not significantly alter serum or tissue TH concentrations or TH-responsive brain mRNA expression. Fe deficiency significantly lowered P10 serum total T(3) (45%), serum total T(4) (52%), whole brain T(3) (14%), and hippocampal T(3) (18%) concentrations, producing a mild TH deficiency similar to 1 ppm propylthiouracil treatment. Fe deficiency lowered Pvalb, Enpp6, and Mbp mRNA levels in the P10 hippocampus. Fe deficiency also altered Hairless, Dbm, and Dio2 mRNA levels in the P10 cerebral cortex. These results suggest that some of the brain defects associated with Fe deficiency may be mediated through altered thyroidal status and the concomitant alterations in TH-responsive gene transcription.