Biology subjects

Thornton, J. W.

Publications and source records attributed to Thornton, J. W..

15 recordsLinked to original sources

bioRxiv2026

Evolution of NELL binding by dual-ligand-responsive axon guidance receptor Robo

Robo receptors are conserved across bilaterians and best known for their ability to mediate axonal repulsion in response to Slit family ligands. In mammals, this applies to Robo1 and Robo2, but mammalian Robo3 binds NELL proteins instead of Slits. The evolutionary origin of NELL-Robo interactions and the possible existence of dual-ligand responsiveness across species remain unknown. Here, we systematically analyzed Robo and NELL homologs across bilaterians and found that NELL-Robo binding is conserved among chordate Robos, but not in protostomes. We show that cephalochordate Robo and NELL can mediate axon repulsion in vitro, suggesting conserved functionality. We observed that conformational masking of the NELL-binding site is prevalent among chordate Robos, modulating NELL-Robo affinity. We also demonstrate that NELL-Robo complexes undergo liquid-liquid phase separation in vitro, a property preserved from cephalochordates to mammals. Our findings support a model in which an ancestral chordate Robo receptor was dual-responsive to Slit and NELL, still the case for some extant Robos, and vertebrate paralogs subfunctionalized, with full ligand specialization emerging in mammals.

biochemistry↗

bioRxiv2026

Origins of allostery in vertebrate hemoglobin evolution

Allostery is an essential and structurally complex form of biochemical regulation, but how allosteric proteins evolved from nonallosteric precursors is unknown. Vertebrate hemoglobin (Hb), a symmetrical tetramer, binds organic phosphates in a central cavity between subunits, which reduces its oxygen affinity. Using ancestral protein reconstruction, we show that Hb's historical precursor, a non-allosteric dimer, was fortuitously on the evolutionary edge of allostery: just three historical substitutions can confer allostery upon it -- one that causes tetramerization, and two others that create an effector-binding site in the cavity. The ancient tetramer could also have acquired inverse allostery -- effector binding that improves oxygen affinity -- via a single substitution that moves the binding site deeper in the cavity. These short evolutionary paths were possible because a key prerequisite for allostery -- propensity to occupy multiple conformations that change upon oxygen binding -- is an intrinsic, ancient property of the globin fold. Evolution of symmetric tetramerization caused this tertiary lability to propagate into oxygen-linked quaternary changes affecting the cavity, so the only remaining requirement for allostery was effector binding. Conformational heterogeneity and multimeric symmetry are widespread, suggesting that many allosteric proteins may have evolved by simple mechanisms from precursors fortuitously poised on the edge of allostery.

evolutionary biology↗

bioRxiv2025

Ancient biases in phenotype production drove the functional evolution of a protein family

Some phenotypes are more likely to be produced by mutation than others, but the causal role of these propensities in the evolution of extant phenotypic diversity remains unclear. There are two major challenges: it is difficult to separate the effect of the genotype-phenotype (GP) map from that of natural selection in causing natural patterns of diversity, and most extant phenotypes evolved long ago in species whose GP maps cannot be recovered. Using reconstructed ancestral transcription factors as a model to address this problem, we created libraries containing all possible amino acid combinations at historically variable sites in the proteins DNA binding interface (the genotypes) and measured their capacity to bind specifically to response elements containing all possible combinations of nucleotides at historically variable sites in the DNA (the phenotypes). The ancestral proteins we used existed during an ancient phylogenetic interval when a new phenotype--specificity for a new response element--evolved. We found that the two ancestral GP maps were strongly anisotropic (the distribution of phenotypes encoded by genotypes is highly nonuniform) and heterogeneous (the phenotypes accessible around each genotype vary dramatically among genotypes), but the extent and direction of these properties differed between the maps. In both cases, these properties steered evolution toward the lineage-specific phenotypes that evolved during history. Our findings establish that ancient properties of the GP relationship were causal factors in the evolutionary process that produced the present-day patterns of functional conservation and diversity in this protein family.

evolutionary biology↗

bioRxiv2024

Robustness of ancestral sequence reconstruction to among-site evolutionary heterogeneity and epistasis

Ancestral sequence reconstruction (ASR) is typically performed using homogeneous evolutionary models, which assume that the same substitution propensities affect all sites and lineages. These assumptions are routinely violated: heterogeneous structural and functional constraints favor different amino acid states at different sites, and these constraints often change among lineages as epistatic substitutions accrue at other sites. To evaluate how realistic violations of the homogeneity assumption affect ASR, we developed site-specific substitution models and parameterized them using data from deep mutational scanning experiments on three protein families; we then used these models to perform ASR on the empirical alignments and on alignments simulated under heterogeneous conditions derived from the experiments. Extensive among-site and -lineage heterogeneity is present in these datasets, but the sequences reconstructed from empirical alignments are almost identical, irrespective of whether heterogeneous or homogeneous models are used for ASR. The rare differences occur primarily when phylogenetic signal is weak - at fast-evolving sites and nodes connected by long branches. When ASR is performed on simulated data, errors in the reconstructed sequences become more likely as branch lengths increase, but incorporating heterogeneity into the model does not improve accuracy. These data establish that ASR is robust to unincorporated realistic forms of evolutionary heterogeneity, because the primary determinant of ASR is phylogenetic signal, not the substitution model. The best way to improve accuracy is therefore not to develop more elaborate models but to apply ASR to densely sampled alignments that maximize phylogenetic signal at the nodes of interest.

molecular biology↗

bioRxiv2024

Response to "Protein sequence landscapes are not so simple: on reference-free versus reference-based inference"

We recently reanalyzed 20 combinatorial mutagenesis datasets using a novel reference-free analysis (RFA) method and showed that high-order epistasis contributes negligibly to protein sequence-function relationships in every case. Dupic, Phillips, and Desai (DPD) commented on a preprint of our work. In our published paper, we addressed all the major issues they raised, but we respond directly to them here. 1) DPDs claim that RFA is equivalent to estimating reference-based analysis (RBA) models by regression neglects fundamental differences in how the two formalisms dissect the causal relationship between sequence and function. It also misinterprets the observation that using regression to estimate any truncated model of genetic architecture will always yield the same predicted phenotypes and variance partition; the resulting estimates correspond to those of the RFA formalism but are inaccurate representations of the true RBA model. 2) DPDs claim that high-order epistasis is widespread and significant while somehow explaining little phenotypic variance is an artifact of two strong biases in the use of regression to estimate RBA models: this procedure underestimates the phenotypic variance explained by RBA epistatic terms while at the same time inflating the magnitude of individual terms. 3) DPD erroneously claim that RFA is "exactly equivalent" to Fourier analysis (FA) and background-averaged analysis (BA). This error arises because DPD used an incorrect mathematical definition of RFA and were misled by a simple numerical relationship among the models that only holds only for the simplest kinds of datasets. 4) DPD argue that using a nonlinear transformation to account for global nonlinearities in sequence-function relationships is often unnecessary and may artifactually absorb specific epistatic interactions. We show that nonspecific epistasis caused by a limited dynamic range affects datasets of all types, even when the phenotype is represented on a free-energy scale. Moreover, using a nonlinear transformation in a joint fitting procedure does not underestimate specific epistasis under realistic conditions, even if the data are not affected by nonspecific epistasis. The conclusions of our work therefore hold: the genetic architecture of all 20 protein datasets we analyzed can be efficiently and accurately described in an RFA framework by first-order amino acid effects and pairwise interactions with a simple model of global nonlinearity. We are grateful for DPDs commentary, which helped us improve our paper.

genetics↗

bioRxiv2024

Imperfect symmetry facilitated the evolution of specificity and high-order stoichiometry in vertebrate hemoglobin

Many proteins form paralogous multimers - molecular complexes in which evolutionarily related proteins are arranged into specific quaternary structures. Little is known about the mechanisms by which they acquired their stoichiometry (the number of total subunits in the complex) and heterospecificity (the preference of subunits for their paralogs rather than other copies of the same protein). Here we use ancestral protein reconstruction and biochemical experiments to study historical increases in stoichiometry and specificity during the evolution of vertebrate hemoglobin (Hb), a 2{beta}2 heterotetramer that evolved from a homodimeric ancestor after a gene duplication. We show that the mechanisms for this evolutionary transition were simple. One hydrophobic substitution in subunit {beta} after the gene duplication was sufficient to cause the ancestral dimer to homotetramerize with high affinity across a new interface. During this same interval, a single-residue deletion in subunit at the older interface conferred specificity for the heterotetrameric form and the trans-orientation of subunits within it. These sudden transitions in stoichiometry and specificity were possible because the interfaces in Hb are isologous - involving the same surface patch on interacting subunits, rotated 180{degrees} relative to each other. This architecture amplifies the impacts of individual mutations on stoichiometry and specificity, especially in higher-order complexes, and allows single substitutions to differentially affect heteromeric vs homomeric interactions. Our findings suggest that elaborate and specific symmetrical molecular complexes may often evolve via simple genetic and physical mechanisms. Significance statementMany molecular complexes are made up of proteins related by gene duplication, but how these assemblies evolve is poorly understood. Using ancestral protein reconstruction and biochemical experiments, we dissected how vertebrate hemoglobin, which comprises two copies each of two related proteins, acquired this architecture from a homodimeric ancestor. Each aspect of this transition - from dimer to tetramer and homomer to heteromer - had a simple genetic basis: a single-site amino acid change in each protein drove these changes in size and specificity. These transitions were possible because hemoglobins architecture is symmetric, which amplified the effect of small biochemical changes on the assembly of the complex. Many protein complexes are symmetrical, suggesting that they too may have evolved via simple genetic mechanisms. Classification: Major classification - Biological Sciences Minor classifications - Biochemistry/Evolution

evolutionary biology↗

bioRxiv2024

Frequent transitions in self-assembly across the evolution of a central metabolic enzyme

Many enzymes assemble into homomeric protein complexes comprising multiple copies of one protein. Because structural form is usually assumed to follow function in biochemistry, these assemblies are thought to evolve because they provide some functional advantage. In many cases, however, no specific advantage is known and, in some cases, quaternary structure varies among orthologs. This has led to the proposition that self-assembly may instead vary neutrally within protein families. The extent of such variation has been difficult to ascertain because quaternary structure has until recently been difficult to measure on large scales. Here, we employ mass photometry, phylogenetics, and structural biology to interrogate the evolution of homo-oligomeric assembly across the entire phylogeny of prokaryotic citrate synthases - an enzyme with a highly conserved function. We discover a menagerie of different assembly types that come and go over the course of evolution, including cases of parallel evolution and reversions from complex to simple assemblies. Functional experiments in vitro and in vivo indicate that evolutionary transitions between different assemblies do not strongly influence enzyme catalysis. Our work suggests that enzymes can wander relatively freely through a large space of possible assemblies and demonstrates the power of characterizing structure-function relationships across entire phylogenies.

evolutionary biology↗

bioRxiv2023

The simplicity of protein sequence-function relationships

How complicated is the genetic architecture of proteins - the set of causal effects by which sequence determines function? High-order epistatic interactions among residues are thought to be pervasive, making a proteins function difficult to predict or understand from its sequence. Most studies, however, used methods that overestimate epistasis, because they analyze genetic architecture relative to a designated reference sequence - causing measurement noise and small local idiosyncrasies to propagate into pervasive high-order interactions - or have not effectively accounted for global nonlinearity in the sequence-function relationship. Here we present a new reference-free method that jointly estimates global nonlinearity and specific epistatic interactions across a proteins entire genotype-phenotype map. This method yields a maximally efficient explanation of a proteins genetic architecture and is more robust than existing methods to measurement noise, partial sampling, and model misspecification. We reanalyze 20 combinatorial mutagenesis experiments from a diverse set of proteins and find that additive and pairwise effects, along with a simple nonlinearity to account for limited dynamic range, explain a median of 96% of total variance in measured phenotypes (and >92% in every case). Only a tiny fraction of genotypes are strongly affected by third- or higher-order epistasis. Genetic architecture is also sparse: the number of terms required to explain the vast majority of variance is smaller than the number of genotypes by many orders of magnitude. The sequence-function relationship in most proteins is therefore far simpler than previously thought, opening the way for new and tractable approaches to characterize it.

genetics↗

bioRxiv2023

Epistasis facilitates functional evolution in an ancient transcription factor

A proteins genetic architecture - the set of causal rules by which its sequence produces its functions - also determines its possible evolutionary trajectories. Prior research has proposed that genetic architecture of proteins is very complex, with pervasive epistatic interactions that constrain evolution and make function difficult to predict from sequence. Most of this work has analyzed only the direct paths between two proteins of interest - excluding the vast majority of possible genotypes and evolutionary trajectories - and has considered only a single protein function, leaving unaddressed the genetic architecture of functional specificity and its impact on the evolution of new functions. Here we develop a new method based on ordinal logistic regression to directly characterize the global genetic determinants of multiple protein functions from 20-state combinatorial deep mutational scanning (DMS) experiments. We use it to dissect the genetic architecture and evolution of a transcription factors specificity for DNA, using data from a combinatorial DMS of an ancient steroid hormone receptors capacity to activate transcription from two biologically relevant DNA elements. We show that the genetic architecture of DNA recognition consists of a dense set of main and pairwise effects that involve virtually every possible amino acid state in the protein-DNA interface, but higher-order epistasis plays only a tiny role. Pairwise interactions enlarge the set of functional sequences and are the primary determinants of specificity for different DNA elements. They also massively expand the number of opportunities for single-residue mutations to switch specificity from one DNA target to another. By bringing variants with different functions close together in sequence space, pairwise epistasis therefore facilitates rather than constrains the evolution of new functions.

evolutionary biology↗

bioRxiv2021

Evolutionary tuning of a key helix drove androgen selectivity

The genetic and biophysical mechanisms by which new protein functions evolve are central concerns in evolutionary biology and molecular evolution. Despite much speculation, we know little about how protein function evolves. Here, we use ancestral proteins to trace the evolutionary history of ligand recognition in a sub-class of steroid receptors (SRs), an ancient family of ligand-regulated transcription factors that enable long-range cellular communication central to multicellular life. The most ancestral members of this family display promiscuous ligand binding due to their large ligand binding pockets, while more recently evolved SRs tend to have smaller cavities. Less obvious, however, are the forces driving the selectivity of highly similar ligands. A key example is the divergence between the progesterone and androgen receptors (PR, AR), which display a high degree of sequence similarity and yet display differential ligand preferences. This work uses the ancestral steroid receptor 2 (AncSR2), the common ancestor of all 3-ketosteroids and the ancestral androgen receptor 1 (AncAR1), the seminal androgen receptor, to explore the biophysical mechanisms that drove the evolution of androgen specificity. We determine that ligand specificity in androgen receptors is driven by changes in the conformational dynamics of the receptor as well as altered binding pocket interactions, with helix 10 (H10) playing a critical role in tuning ligand specificity.

evolutionary biology↗

bioRxiv2021

Molecular and Structural Basis of Olfactory Sensory Neuron Coalescence by Kirrel Receptors

Projections from sensory neurons of olfactory systems coalesce into glomeruli in the brain. The Kirrel receptors are believed to homodimerize via their ectodomains and help separate sensory neuron axons into Kirrel2- or Kirrel3-expressing glomeruli. Here we present the crystal structures of homodimeric Kirrel receptors and show that the closely related Kirrel2 and Kirrel3 have evolved specific sets of polar and hydrophobic interactions, respectively, disallowing heterodimerization while preserving homodimerization, likely resulting in proper segregation and coalescence of Kirrel-expressing axons into glomeruli. We show that the dimerization interface at the N-terminal IG domains is necessary and sufficient to create homodimers, and fail to find evidence for a secondary interaction site in Kirrel ectodomains. Furthermore, we show that abolishing dimerization of Kirrel3 in vivo leads to improper formation of glomeruli in the mouse accessory olfactory bulb as observed in Kirrel3-/- animals. Our results provide strong evidence for Kirrel3 homodimerization controlling axonal coalescence.

neuroscience↗

bioRxiv2020

Chance, contingency, and necessity in the experimental evolution of ancestral proteins

To understand why evolution produced the biological systems that exist today, we must know how important chance, contingency, and necessity were during history. Previous observations suggest that each of these modes of causality affects evolution in various settings, but their relative roles and interactions are not well characterized because they have never been systematically assessed in a single system or on a timescale relevant to evolutionary history. To this end, we reconstructed ancestral B-cell-lymphoma-2-family proteins and developed a continuous evolution method to select for defined protein-protein interaction specificities. By repeatedly evolving a series of ancestral proteins to acquire specificities that occurred during history, we show that contingency steadily overwhelms chance and erases necessity as the primary cause of sequence variation in proteins over long phylogenetic timescales. As a result, evolutionary trajectories launched from distant starting points are essentially unpredictable, even under strong and identical selection pressures. Genetic dissection of the outcomes shows that chance arises because numerous sets of mutations can alter specificity at any point in time, while contingency arises because historical substitutions change these sets. Patterns of variation in extant protein sequences are therefore largely the idiosyncratic product of a particular course of unpredictable historical events.

evolutionary biology↗

bioRxiv2018

A new family of neural wiring receptors across bilaterians defined by phylogenetic, biochemical and structural evidence

The evolution of complex nervous systems was accompanied by the expansion of groups of protein families, most notably cell adhesion molecules, surface receptors and their ligands. These proteins mediate axonal guidance, synapse targeting, and other neuronal wiring-related functions. Recently, members of a set of thirty interacting cell surface proteins belonging to two newly defined families of the immunoglobulin superfamily (IgSF) in fruit flies were discovered to label different subsets of neurons in the brain and ventral nerve cord. They have been shown to be involved in synaptic targeting and morphogenesis, retrograde signaling, and neuronal survival. Here we show that these proteins, denoted as Dprs and DIPs, belong to a family of two and three-Ig domain molecules in bilaterians generally known for neuronal wiring functions. In protostomes, the ancestral Dpr/DIP gene has duplicated to form heterophilic partners, such as Dprs and DIPs, while in deuterostomes, they have evolved to create the IgLON family of neuronal receptors. In support of this phylogeny, we show that IgLONs interact with each other, and that their complexes can be broken by mutations designed using homology models based on Dpr and DIP structures. Similarly, the nematode orthologs ZIG-8 and RIG-5 can form heterophilic and homophilic complexes structurally matching Dpr-DIP and DIP-DIP complexes. The evolutionary, biochemical and structural relationships we demonstrate here provides insights into neural development and the rise of complexity in metazoans.\n\nSignificance StatementCell surface receptors assign and display unique identities to neurons, and direct proper and robust wiring of neurons to create functional neural circuits. Recent work has identified two new classes of receptors in fruit flies, called the Dpr and DIP families with 30 members, which interact in 38 pairwise combinations. These proteins are implicated in neural identity, wiring and survival in many parts of the fly nervous system. Here, using evolutionary, biochemical and structural evidence, we show that Dprs and DIPs are members of an ancient bilaterian family of receptors. Members of this family share functional roles relevant to wiring across species, and are likely crucial in the emergence of the bilaterian nervous systems common to vertebrate and invertebrate animals.

biochemistry↗

bioRxiv2017

Pervasive contingency and entrenchment in a billion years of Hsp90 evolution

Although many potential mutations within proteins modulate each others effects1-4, the extent to which these epistatic interactions influenced the fitness effects of the sequence changes that actually occurred during historical evolution - and thus made molecular evolution contingent and irreversible - is controversial5-16. We addressed this question directly by precisely measuring the fitness effects in both extant and reconstructed ancestral sequence contexts of all historical amino acid substitutions that occurred during the billion-year evolutionary history of the heat shock protein 90 (Hsp90) ATPase domain beginning from a deep eukaryotic ancestor to modern Saccharomyces cerevisiae. We find a pervasive influence of epistasis on historical sequence evolution: the majority of the 98 derived states that evolved during history were deleterious at times before they happened, and the vast majority also became subsequently entrenched6, with the ancestral state becoming deleterious after its substitution. A few of these epistatic interactions were of massive fitness consequence, but the majority were of small but evolutionarily relevant effect size. We find that both the large- and small-effect epistasis were largely caused by specific interactions among sites rather than a general permissive or restrictive effect17. Our results highlight how epistasis continually opens and closes windows of mutational opportunity over evolutionary timescales, producing histories and biological states that reflect, in significant part, the transient internal constraints imposed by a proteins fleeting sequence states.

evolutionary biology↗

bioRxiv2017

Multinucleotide mutations cause false inferences of positive selection

Phylogenetic tests of adaptive evolution, which infer positive selection from an excess of nonsynonymous changes, assume that nucleotide substitutions occur singly and independently. But recent research has shown that multiple errors at adjacent sites often occur in single events during DNA replication. These multinucleotide mutations (MNMs) are overwhelmingly likely to be nonsynonymous. We therefore evaluated whether phylogenetic tests of adaptive evolution, such as the widely used branch-site test, might misinterpret sequence patterns produced by MNMs as false support for positive selection. We explored two genome-wide datasets comprising thousands of coding alignments - one from mammals and one from flies - and found that codons with multiple differences (CMDs) account for virtually all the support for lineage-specific positive selection inferred by the branch-site test. Simulations under genome-wide, empirically derived conditions without positive selection show that realistic rates of MNMs cause a strong and systematic bias in the branch-site and related tests; the bias is sufficient to produce false positive inferences approximately as often as the branch-site test infers positive selection from the empirical data. Our analysis indicates that genes may often be inferred to be under positive selection simply because they stochastically accumulated one or a few MNMs. Because these tests do not reliably distinguish sequence patterns produced by authentic positive selection from those caused by neutral fixation of MNMs, many published inferences of adaptive evolution using these techniques may therefore be artifacts of model violation caused by unincorporated neutral mutational processes. We develop an alternative model that incorporates MNMs and may be helpful in reducing this bias.

evolutionary biology↗