Biology subjects

Wilson, A. J.

Publications and source records attributed to Wilson, A. J..

At least 19 recordsLinked to original sources

bioRxiv2026

Expanding all-α-helical protein space through rational computational design

De novo protein design is advancing rapidly1,2. This is being driven by AI to generate protein backbones, sequences, and structural models3-7. As a result, de novo designed proteins are becoming larger and more complex8-10, and increasingly explore new protein structures11,12. By contrast, natural proteins have evolved structural and functional complexity by modular combination of recurring protein domains13. Approximately 25% of these natural domains are mostly -helical structures14. Here we show how these can be expanded using rational computational design. Following the domain classification scheme CATH15, we build complex all- de novo proteins hierarchically using sequence-to-structure relationships for helix-helix interactions, systematic rules to connect helices, computational tools to design loops, and in silico evaluation. The pipeline starts with a target architecture of free-standing helices. These are connected into a topology by considering local arrangements of helical bundles using understood sequence-to-structure relationships for helix packing. Single-chain sequences are completed using template- and AI-based methods. Finally, AlphaFold models are assessed to give small numbers of designs for experimental validation. We test 31 designs for 14 different architectures and 25 topologies. 75% of these express as stable, monomeric, water-soluble proteins; and >30% yield X-ray crystal structures matching the designs to atomic accuracy and with new-to-nature structures. Finally, several of the scaffolds are functionalised through one-shot designs to deliver ion, small-molecule and protein binders.

synthetic biology↗

bioRxiv2026

Drosophila-virus genotype interactions dominate transmission, virulence and load, eroding additive fitness variance

Host-parasite coevolution is expected to generate strong selection for susceptibility and infectivity that has the potential to erode genetic variation. Despite this, natural populations often retain extensive genetic variation in these traits. Negative frequency-dependent selection could explain the maintenance of variation since it results in genotype-by-genotype interactions on fitness that, unlike additive genetic variance among hosts and pathogens, is masked from selection and so can remain cryptic. Here we combine coevolutionary modelling with large-scale experimental infection assays to quantify how host-pathogen interactions structure fitness variance in a vertically transmitted virus system, Drosophila melanogaster and sigma virus. Simulations show that coevolution typically erodes additive genetic variance in host and pathogen fitness, concentrating variance in host-virus interaction terms. Consistent with these predictions, experiments spanning 90 host-virus genotype combinations reveal that transmission, viral load and virulence are overwhelmingly governed by host-virus genetic interactions rather than host or virus main (i.e., additive) effects. As a result, neither host resistance alleles nor viral genotypes confer consistently higher fitness across genetic backgrounds. Interactions tend to be sex-specific, further limiting heritable fitness variation. Our results demonstrate that coevolution can substantially mask heritable genetic variation from selection by rendering fitness context dependent. This extensive cryptic genetic variation may be revealed either when ecological or evolutionary conditions shift, or when the process of coevolution itself alters the direction of selection. This demonstrates the need to account for genotype-specific interactions when forecasting evolutionary responses.

evolutionary biology↗

bioRxiv2026

Evolutionary divergence and adaptive potential of scototaxis in juvenile Trinidadian Guppies

Habitat choice and resource acquisition represent an intrinsic trade-off, resulting in variation among individuals and potentially local adaptation among populations. Here, we quantify scototaxis, or preference for dark versus light backgrounds, in juvenile guppies. Scototaxis assays, in which individuals choose between safer dark and riskier light backgrounds, are widely used as a measure of boldness in small fishes, but they can equally be interpreted as choice between two habitats. By rearing and testing 586 fish descended from ten natural populations from Trinidad under common garden conditions, we first quantify (broad sense) heritable variation, i.e. evolutionary potential, within populations. Next, we test for evolutionary divergence among populations in mean preference, and if present, whether ancestral predation regime is a mediator of divergence. Finally, we ask whether families and/or populations differ in the amount of behavioural variation they contain. Preference varied among families (12% of total variance), consistent with broad-sense heritable variation. We also found that mean preference varied among populations (11% of total variance explained). Evolutionary divergence among-populations is partly explained by ancestral predation regime, with populations from low-predation sites showing a stronger preference for dark backgrounds than high-predation populations from the same river. Additionally, we find that within-population behavioural variation is greater in high-predation populations. We conclude that guppy populations contain heritable variation that could facilitate adaptive evolution if scototaxis is subject to natural selection. Furthermore, while genetic drift may also contribute to evolutionary divergence among-populations, observed patterns are qualitatively consistent with local adaption to predation regime. Our results suggests that high predation sites favour bolder habitat choice on average, but also that local predation regime shapes the evolutionary dynamics of variation, perhaps by maintaining shy-bold variation among individuals, or by favouring individuals with less-predictable behaviour.

evolutionary biology↗

bioRxiv2025

Coiled-coil scaffolds for Targeted Protein Degradation

In targeted protein degradation (TPD) the cells quality control machinery is co-opted to degrade proteins of interest. Currently TPD is limited by the availability of small-molecule binders for targets and the many potential human E3 ubiquitin ligases. Consequently, other approaches are needed to tackle new targets and to exploit degradation pathways fully. The natural binding epitopes for E3s and other degradation machineries are often short linear peptide motifs, which offer routes to new biologics-based degraders. Here, targeting the anti-apoptotic BCL-xL and initiation of apoptosis, we show that several protein-degradation pathways--ubiquitination, direct proteasome, autophagy-lysosome recruitment--can be leveraged by integrating target-binding and degradation motifs into single-polypeptide constructs. This exploits versatile and varied de novo coiled-coil scaffolds as adaptable molecular glues by presenting motifs multivalently and in diverse arrangements. The constructs are small ({approx}80 residues) and provide a plug-and-play platform to map and optimise target-degradation space using rational design. We call this Coiled Coils for induced Proximity (CoCoProx) and propose its use for targeted degradation and other induced-proximity reactions.

synthetic biology↗

bioRxiv2025

De novo designed bifunctional proteins for targeted protein degradation

Targeted protein degradation (TPD) is a therapeutic strategy to remove disease-causing proteins by routing them to the ubiquitin-proteasome, autophagy, or lysosme machineries. For instance, proteolysis-targeting chimeras (PROTACs) are synthetic hetero-bifunctional small molecules that simultaneously bind the target and an E3 ubiquitin ligase to drive ubiquitination and degradation by the proteasome. Despite considerable success, designing such molecules is challenging and the number of currently addressable ubiquitin E3 ligases is limited. Here we demonstrate hetero-bifunctional de novo designed proteins as alternatives for TPD to access more targets and ligases. First, we develop a stable and highly adaptable helix-turn-helix scaffold for presenting different binding sites. Next, we use computational protein design to incorporate and embellish hot-spot-binding sites to target BCL-xL, plus short linear motifs (SLiMs) for KLHL20 ligase recruitment. The resulting mono- and bi-functionalised proteins bind the targets in vitro, and the latter degrade BCL-xL in cells leading to apoptosis.

synthetic biology↗

bioRxiv2025

A genomic toolkit for surveillance and elimination of the principal malaria vectors in Southeast Asia.

While substantial progress has been made toward malaria elimination in Southeast Asia, major challenges remain. The principal mosquito vectors, Anopheles dirus and Anopheles minimus, inhabit diverse ecological niches and exhibit a wide range of behavioural and physiological insecticide resistance phenotypes, complicating vector control efforts. In Africa, genomic surveillance has transformed our understanding of vector evolution and resistance, supported by open-access tools and data. Comparable resources for Southeast Asian vectors remain limited. Here, we release Adir1.0, a curated, analysis-ready catalog of 540 An. dirus whole-genome sequences, accessible for interactive cloud-based analysis via the malariagen-data-python application programming interface (API). Alongside, we provide an updated Amin1.0 API to enhance functionality and usability, enabling integrated analyses across historical and new datasets. We demonstrate these resources by performing the first exploratory population genomic analysis of An. dirus from Bangladesh, Thailand, and Cambodia, revealing population structure, candidate regions of physiological resistance, and genomic structural variation. Together, these resources provide a foundation for genomic surveillance studies to inform vector control and malaria elimination strategies in Southeast Asia.

genetics↗

bioRxiv2025

Bora Bridges Aurora-A Activation and Substrate Recognition of PLK1

Cell cycle transitions are orchestrated by regulated protein kinase activities. The activation of PLK1 in late G2 is a decisive step for cells to enter mitosis, requiring phosphorylation of its activation loop by Aurora-A, facilitated by the intrinsically disordered protein Bora. Despite its biological importance, the structural basis of this mechanism has remained unresolved. Here, we present models of the Aurora-A/Bora complex and the ternary Aurora-A/Bora/PLK1 complex, validated with site-specific mutagenesis, biochemical assays and NMR spectroscopy. Bora wraps around the N-lobe of Aurora-A, occupying the pockets used by its other activators. A CDK1 phosphorylation site on Bora (Ser112) mimics the structural role of Aurora-A activation loop phosphorylation within a TPX2-like binding motif. In the ternary complex, Bora bridges the two kinases, orienting the activation loop of PLK1 towards the active site of Aurora-A. Bora residues 56-66 form a critical interface with a conserved pocket on the PLK1 C-helix that is analogous to the TPX2-binding Y-pocket of Aurora-A. Aurora-A phosphorylation of Bora Ser59 creates an additional interaction that increases the efficiency of PLK1 phosphorylation. These findings deepen our understanding of how Aurora-A activity is fine-tuned by its disordered binding partners and establish a mechanistic framework for its Bora-dependent activation of PLK1.

molecular biology↗

bioRxiv2024

Revealing the taxonomy and functional potential of urban soil microbiomes

Urbanization is a leading cause of global biodiversity loss, but its impact on soil microorganisms and biogeochemistry remain uncertain. Although all urban soil microbiomes are influenced by common anthropogenic processes, we lack generalizable patterns in how urbanization impacts the composition and functional potential of the global soil microbiome. These patterns are vital for grasping cities roles in biogeochemical processes and managing urban land expansion. We re-analyze soil metagenomic sequences from the Global Urban Soil Environment Ecology Network (GLUSEEN) to identify coordinated changes in microbial taxonomy and functionality and to pinpoint core taxa and metabolisms across five global cities spanning ecoregions and management regimes. Our findings reveal greater spatial variability in microbial taxonomy compared to functional potential, indicating that common anthropogenic processes might shape the genetic potential of diverse taxa. We identify 111 gene annotations that represent core urban soil functions, present in all cities but rare (<5%) in reference soils. Across low-to-high urban land use gradients; nitrogen, trace/heavy metal, glycerol, and fructose/fructan metabolic processes are linked with highly urbanized areas. Core urban microbial taxa - defined by overrepresentation in urban land uses compared to reference soils - included diverse soil bacteria and a more constrained set of methane- and nitrogen-cycling archaea. Overall, our work aids in deriving testable hypotheses and in modeling the feedbacks between growing metropolitan areas and the processes impacting global environmental change.

microbiology↗

bioRxiv2023

Absence of CD47 in the tumor microenvironment modulates tumor metabolism and immunosuppressive signatures limiting breast cancer progression.

The majority of breast cancers are generally considered immune-deprived tumors. This lack of immunogenicity severely hinders effectiveness of current immunotherapy approaches limiting therapeutic options to control disease. Therefore, we need new biomarkers to determine and enhance immune responses to improve the outcome of cancer patients experiencing invasive disease. Our data in matched human patient biopsies show that CD47 expression increases from primary to metastatic tumors. CD47 is an integral membrane protein that impairs antitumor immunosurveillance and influences normal tissue metabolism. However, whether CD47 plays a role in regulating tumor bioenergetics is unknown. A carcinogen-induced mouse mammary carcinogenesis model demonstrates that the absence of CD47 reduces tumor burden, which is associated with a distinct metabolic signature compared to WT tumors. Depletion of several lipid metabolites was observed in the absence of CD47, and metabolic dependency experiments suggest that anti-sense blockade of CD47 limits reliance on fatty acid oxidation as a fuel supporting cellular respiration on cancer cells. Our global metabolomics analysis also implicated the absence of CD47 in downregulation of immunosuppressive metabolites of the tryptophan and prostaglandin pathways. Spatial proteomic analysis revealed increased immune infiltrate and substantial reduction in immunosuppressive immune checkpoint proteins in the absence of CD47 with the highest reduction in intra-tumoral PD-L1 expression. Since anti-PD-L1 therapy is used in the current strategy to treat triple-negative breast cancer (TNBC), we targeted CD47 in an EMT-6 syngeneic TNBC model. The in vivo knockdown of CD47 sensitized tumors to anti-PD-L1 therapy to decrease tumor burden and increase intratumoral cytotoxic T cells. Therefore, targeting CD47 may be a suitable immunotherapeutic option to limit immunosuppression and enhance the efficacy of immune checkpoint blockade.

cancer biology↗

bioRxiv2023

Profiling sorghum-microbe interactions with a specialized photoaffinity probe identifies key sorgoleone binders in Acinetobacter pittii

Sorghum (Sorghum bicolor) is a major food and bioenergy grass species cultivated worldwide. To promote more robust and sustainable growth of this important crop, we need a deeper understanding of the plant-microbe interactions between sorghum and soil microbial communities that benefit plant host resiliency and enhance nutrient acquisition. The release of specific metabolites from plant roots, or root exudation, drives these plant-microbe interactions, but the molecular pathways by which root exudates shape the sorghum rhizosphere microbiome require further elucidation. To investigate these complex interkingdom interactions in the sorghum rhizosphere, we developed a photoaffinity probe based on sorgoleone, a hydrophobic secondary metabolite and allelochemical produced in sorghum seedling root exudates. Here, we apply a new synthetic sorgoleone diazirine alkyne photoaffinity probe (SoDA-PAL) to the identification of sorgoleone-binding proteins in Acinetobacter pittii SO1, a potential plant growth promoting microbe derived from Sorghum bicolor rhizosphere soil. Competitive photoaffinity labeling of A. pittii whole cell lysates with SoDA-PAL identified 137 statistically enriched proteins that were complementary to a previously identified gene cluster involved in sorgoleone catabolism. Proteins identified by SoDA-PAL included a select set of putative transporters, transcription regulators, and a subset of proteins with lipid and secondary metabolic activities. We confirm binding of SoDA-PAL to a putative hydrolase in the /{beta} fold family (OH685_09420) through structural bioinformatics and in-vitro recombinant protein analysis. This photoaffinity labeling approach using metabolite-based probes can be extended in the future to proteomic profiling of complex rhizosphere microbiomes to discover genes that can be leveraged to promote beneficial plant-microbe interactions. ImportanceHere we demonstrate a photoaffinity-based chemical probe modeled after sorgoleone, a known secondary metabolite released from the roots of sorghum, can be used to dissect complicated plant-microbe interactions. Applying this probe to the sorghum-associated bacterium Acinetobacter pittii identified diverse proteins that directly interact with sorgoleone. We show that probe labeling is dose-dependent and is sensitive to competition with purified sorgoleone, demonstrating the probe is selective for protein targets that directly interact with sorgoleone. By using the probe to broadly profile proteins that interact with sorgoleone, we identified bacterial catabolic pathways, unintuitive transcriptional regulation pathways, and vital exchange mechanisms involving transporters that may be involved in sorgoleone utilization and cellular response toward this plant metabolite. We envision that this workflow will expand our understanding of the sorghum root exudate interactome and elucidate the molecular mechanisms by which specific metabolites shape the sorghum rhizosphere microbiome.

biochemistry↗

bioRxiv2021

Amino acid availability determines plant immune homeostasis in the rhizosphere microbiome

Microbes possess conserved microbe-associated molecular patterns (MAMPs) such as flagellin that are recognized by plant receptors to induce immunity. Despite containing the same MAMPs as pathogens, commensals thrive in the plant rhizosphere microbiome indicating they must suppress or evade host immunity. The beneficial bacteria Pseudomonas capeferrum WCS358 can suppress Arabidopsis root immunity via acidification by secreting gluconic acid. While gluconic acid is sufficient to suppress immunity, we found that it is not necessary in a second beneficial strain Pseudomonas simiae WCS417, which produces more gluconic acid than WCS358. To uncover mechanisms that contribute to the suppression of Arabidopsis immunity, we performed a forward genetic screen in EMS-mutagenized P. simiae WCS417 using a flagellin-inducible CYP71A12pro:GUS reporter as an Arabidopsis immune readout. We identified a mutant that cannot suppress flagellin-elicited CYP71A12pro:GUS expression or acidify the rhizosphere. Next generation sequencing revealed a mutation in the catabolic site of an ornithine carbamoyltransferase argF, which is required for arginine biosynthesis. The mutant could be complemented by expression of argF from a plasmid, and a {Delta}argF mutant could not suppress immunity. Fungal pathogens can use alkalization through production of ammonia and glutamate, the arginine biosynthetic precursors, to promote their own growth and virulence. Therefore, we hypothesized that the biosynthesis of specific amino acids may be necessary to reduce levels of ammonia and glutamate to prevent rhizosphere alkalization and bacterial overgrowth. Genetically blocking arginine, glutamine, or proline biosynthesis, or by adding corresponding exogenous amino acids, resulted in rhizosphere alkalization. Interestingly, exogenous amino acids caused bacterial overgrowth in a gluconic acid-deficient mutants. Our findings show that bacterial amino acid biosynthesis contributes to acidification by preventing accumulation of glutamate precursors and the resulting alkalization. Collectively this work shows that by regulating nutrient availability, plants have the potential to regulate their immune homeostasis in the rhizosphere microbiome.

microbiology↗

bioRxiv2021

Understanding the interaction of 14-3-3 proteins with hDMX and hDM2: a structural and biophysical study

p53 plays a critical role in regulating diverse biological processes: DNA repair, cell cycle arrest, apoptosis, and senescence. The p53 pathway has therefore served as the focus for drug-discovery efforts. p53 is negatively regulated by hDMX and hDM2; prior studies have identified 14-3-3 proteins as hDMX and hDM2 client proteins. 14-3-3 proteins are adaptor proteins that modulate localisation, degradation and interactions of their targets in response to phosphorylation. Thus 14-3-3 proteins may indirectly modulate the interaction between hDMX or hDM2 and p53 and represent potential targets for modulation of the p53 pathway. In this manuscript we report on the biophysical and structural characterization of peptide/protein interactions that are representative of the interaction between 14-3-3 and hDMX or hDM2. The data establish that proximal phosphosites spaced [~]20-25 residues apart in both hDMX and hDM2 co-operate to facilitate high-affinity 14-3-3 binding and provide structural insight that can be utilized in future stabilizer/inhibitor discovery efforts.

biophysics↗

bioRxiv2021

Understanding p300-transcription factor interactions using sequence variation and hybridization

The hypoxic response is central to cell function and plays a significant role in the growth and survival of solid tumours. HIF-1 regulates the hypoxic response by activating over 100 genes responsible for adaptation to hypoxia, making it a potential target for anticancer drug discovery. Although there is significant structural and mechanistic understanding of the interaction between HIF-1 and p300 alongside negative regulators of HIF-1 such as CITED2, there remains a need to further understand the sequence determinants of binding. In this work we use a combination of protein expression, chemical synthesis, fluorescence anisotropy and isothermal titration calorimetry for HIF-1 sequence variants and a HIF-1- CITED hybrid sequence which we term CITIF. We show the HIF-1 sequence is highly tolerant to sequence variation through reduced enthalpic and less unfavourable entropic contributions, These data imply backbone as opposed to side chain interactions and ligand folding control the binding interaction and that sequence variations are tolerated as a result of adopting a more disordered bound interaction or "fuzzy" complex.

biochemistry↗

bioRxiv2021

α-Helix stabilization by co-operative side chain charge-reinforced interactions to phosphoserine in a basic kinase-substrate motif

How cellular functions are regulated through protein phosphorylation events that promote or inhibit protein-protein interactions (PPIs) is key to understanding regulatory molecular mechanisms. Whilst phosphorylation can orthosterically or allosterically influence protein recognition, phospho-driven changes in the conformation of recognition motifs are less well explored. We recently discovered that clathrin heavy chain recognises phosphorylated TACC3 through a helical motif that, in the unphosphorylated protein, is disordered. However, it was unclear whether and how phosphorylation could stabilize a helix in a broader context. In the current manuscript, we address this challenge using poly-Ala based model peptides and a suite of circular dichroism and nuclear magnetic resonance spectroscopies. We show that phosphorylation of a Ser residue stabilizes the -helix in the context of an Arg(i - 3)pSeri Lys(i + 4) triad through charge-reinforced side chain interactions with positive co-operativity, whilst phosphorylation of Thr induces an opposing response. This is significant as it may represent a general method for control of PPIs by phosphorylation; basic kinase-substrate motifs are common with 55 human protein kinases recognising an Arg at a position -3 from the phosphorylated Ser, whilst the Arg(i - 3)pSeri Lys(i + 4) is a motif found in over 2000 human proteins.

biochemistry↗

bioRxiv2021

Mothers front-load their investment to the egg stage when helped in a wild cooperative bird

In many cooperative societies, including our own, helpers assist with the post-natal care of breeders young, and may thereby benefit the post-natal development of offspring. Here we present evidence of a novel mechanism by which such post-natal helping could also have hitherto unexplored beneficial effects on pre-natal development: by lightening post-natal maternal workloads, helpers may allow mothers to increase their pre-natal investment per offspring. We present the findings of a decade-long study of cooperatively breeding white-browed sparrow weaver, Plocepasser mahali, societies. Within each social group, reproduction is monopolized by a dominant breeding pair, and non-breeding helpers assist with nestling feeding. Using a within-mother reaction norm approach to formally identify maternal plasticity, we demonstrate that when mothers have more female helpers they decrease their own post-natal investment per offspring (feed their nestlings at lower rates) but increase their pre-natal investment per offspring (lay larger eggs, which yield heavier hatchlings). That these plastic maternal responses are predicted by female helper number, and not male helper number, implicates the availability of post-natal helping per se as the likely driver (rather than correlated effects of group size), because female helpers feed nestlings at substantially higher rates than males. We term this novel maternal strategy "maternal front-loading" and hypothesize that the expected availability of post-natal help allows helped mothers to focus maternal investment on the pre-natal phase, to which helpers cannot contribute directly. Such cryptic maternally mediated helper effects on pre-natal development may markedly complicate attempts to identify and quantify the fitness consequences of helping.

evolutionary biology↗

bioRxiv2021

A multivariate view of cognitive differences reveals domain-general correlation structure in the Trinidadian Guppy (Poecilia reticulata)

Cognitive variation is common among-individuals and can be consistent across time and context. From an evolutionary perspective, among-individual variation is important as a pre-requisite for natural selection and adaptive evolution. Selection is widely hypothesized to favor high cognitive performance but directional selection should erode variation over time, how then is cognitive variation maintained? As selection does not act on traits in isolation, covariance among specific cognitive traits and/or other aspects of phenotype (e.g. personality) could result in fitness trade-offs that are important in shaping evolutionary dynamics. Here we test this using Trinidadian guppies (Poecilia reticulata), using a multivariate approach by characterising the correlation structure among task-specific cognitive performance measures and a personality trait. We estimate the among-individual correlation matrix (ID) in performance across three cognitive tasks; colour association learning task; motor learning task; reversal learning task, and the personality trait boldness measured as emergence time from a shelter. We found no support for trade-offs among performance in these tasks. Nor do we find evidence of hypothesised speed-accuracy trade-offs within the association learning task. Rather we find strong positive correlation structure in ID, with 57% of variation explained by the leading eigen vector. While noting that non-cognitive factors and assay composition may affect the structure of ID, we suggest our findings are consistent with the g-model of cognitive performance variation, in which a dominant axis of variation loads positively on all performance measures. Thus, we add to a growing body of support for general variation among individuals in animal cognitive ability.

animal behavior and cognition↗

bioRxiv2021

The genetic and social contributions to sex differences in lifespan in Drosophila serrata

Sex differences in lifespan remain an intriguing puzzle for evolutionary biologists. A possible explanation for lower lifespan in males is the unconditional expression of recessive deleterious alleles in heterogametic X chromosomes in males (the unguarded X hypothesis). Empirical evidence, however, has yielded controversial results that can be attributed to differences in both genetic and social background. Here, we test the unguarded X hypothesis in Drosophila serrata using a factorial design to quantify the effects of genotype, sex, social environment, and their interactions on phenotypic variation for lifespan. Using an experimental approach, we manipulated two inbred laboratory genotypes and their reciprocal F1s, while controlling for different levels of density and mating status to account for any potential social effects. Our results also show subtle but significant genotype dependent effects for both density and mating, but ultimately find the unguarded X hypothesis insufficient to fully explain sexual dimorphism in D. serrata lifespan.

evolutionary biology↗

bioRxiv2021

Using genomic prediction to detect microevolutionary change of a quantitative trait

Detecting microevolutionary responses to natural selection by observing temporal changes in individual breeding values is challenging. The collection of suitable datasets can take many years and disentangling the contributions of the environment and genetics to phenotypic change is not trivial. Furthermore, pedigree-based methods of obtaining individual breeding values have known biases. Here, we apply a genomic prediction approach to estimate breeding values of adult weight in a 35-year dataset of Soay sheep (Ovis aries). During the study period adult body weight decreased, but the underlying genetic component of body weight increased, at a rate that is unlikely to be attributable to genetic drift. Thus cryptic microevolution of greater adult body weight has probably occurred. Using genomic prediction to study microevolution in wild populations can remove the requirement for pedigree data, potentially opening up new study systems for similar research.

evolutionary biology↗