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Perry, A.

Publications and source records attributed to Perry, A..

At least 19 recordsLinked to original sources

DNA Ligases Discriminate Between Natural and Non-Natural Base Pairs

Artificially Expanded Genetic Information Systems (AEGIS) increase the information content of nucleic acids by including new nucleobase pairings that are orthogonal to those of canonical Watson-Crick nucleobases. DNA ligases do not form direct interactions with the nucleobases during catalytic turnover, suggesting that these enzymes should efficiently and faithfully join double-stranded AEGIS substrates. Here we report the systematic investigation into the validity of this hypothesis for structurally-diverse DNA ligases employing substrates built from the eight nucleotide hachimoji genetic alphabet, where orthogonality is achieved by rearranging the hydrogen bonding patterns seen in canonical Watson-Crick pairs. We find that single, or multiple, non-canonical bases are well tolerated at the 5-end of the nick. However, tracts of consecutive non-canonical bases at the 3-end of the break significantly decrease ligation efficiency or abolish it altogether. Possible reasons for this apparent bias against non-canonical nucleobases could include incompatibility in electrostatic interactions between the ligase active site and the non-canonical substrates or altered conformational preferences and/or dynamics in key catalytic intermediates. We also observe single hachimoji mismatches are ligated more frequently than mis paired canonical bases, potentially due to promiscuous pairing of tautomeric forms of the non-canonical bases.

biochemistry↗

Tube to Tumour: an integrative epigenomic analysis of DNA methylation in high-grade serous ovarian cancer and precursor serous tubal intraepithelial carcinoma

Serous tubal intraepithelial carcinoma (STIC) is a known precursor of high-grade serous ovarian cancer (HGSOC). Yet, molecular events driving progression from STIC to HGSOC remain poorly defined. Aberrant DNA methylation is a hallmark of cancer, yet its role in early HGSOC remains unclear. We performed a comprehensive meta-analysis of publicly available Illumina Infinium DNA methylation EPIC array datasets assessing 255 samples comprising STIC, HGSOC, and histologically normal fallopian tube tissues. We mapped DNA methylation alterations during early tumorigenesis, identified conserved methylation patterns across STIC and HGSOC, and assessed RNA-sequencing data to define transcriptional consequences within genomic and epigenomic landscapes. STIC and HGSOC exhibited widespread DNA hypomethylation relative to normal tissue, accompanied by focal hypermethylation in CpG islands and 5' regulatory regions. DNA Hypomethylation intensifies during progression from STIC to HGSOC, particularly in cis-regulatory enhancer domains and intergenic regions. We identified 11,660 CpG sites and 447 genomic regions with conserved DNA methylation patterns across STIC and HGSOC. Within these, 70 genes showed coordinated DNA methylation and expression changes, including TRIM15, NKAPL, and RIPPLY3. These findings reveal that epigenetic remodelling occurs in STIC lesions, prior to malignant transformation. DNA methylation alterations at regulatory regions may drive invasion and offer novel avenues for early detection and targeted intervention.

Cancer Biology↗

Metabarcode and transcriptome datasets of Pinus sylvestris to assess fungal phyllosphere and disease dynamics.

Understanding how host-microbiome interactions influence tree disease is critical for understanding forest resilience. Here, we present foliar microbiome ITS2 metabarcoding transcriptomic datasets from Pinus sylvestris to investigate susceptibility to Dothistroma needle blight (DNB), a globally important foliar disease caused by Dothistroma septosporum. We hypothesised that host genotype shapes foliar microbial communities and their interactions, thereby influencing disease outcomes. Samples were collected from a progeny-provenance field trial in the south of Scotland representing a broad spectrum of disease susceptibilities. The dataset comprises ITS2 metabarcoding samples from 200 genotypes across three timepoints and RNAseq samples from 48 genotypes across two timepoints. Sampling captured key stages of pathogen exposure and disease progression. Both standardised and bespoke protocols were used for nucleotide extraction, sequencing, and quality control, including multiple negative and positive controls. These datasets, available in the European Nucleotide Archive (project accession PRJEB88228), enable analysis of temporal dynamics in foliar fungal communities, host-microbiome transcriptional responses, and genotype-dependent variation in disease susceptibility.

bioinformatics↗

A decade of disease survey data in a progeny-provenance trial: Dothistroma needle blight in Scots pine

Longitudinal data on disease susceptibility in forest trees are rare but essential for understanding host-pathogen dynamics and genetic variation in susceptibility traits. We present a long-term multisite common garden dataset quantifying susceptibility of Scots pine (Pinus sylvestris) to Dothistroma needle blight. The dataset comprises annual disease assessments collected from the same trees across 11 years, spanning 168 families and 21 Scottish provenances. This design enables partitioning of genetic and environmental sources of variation, evaluation of temporal stability in host response, and estimation of variance components and narrow-sense heritability of susceptibility. The data support analyses of phenotypic plasticity, provenance-level responses, and interactions between disease susceptibility and other adaptive traits. This resource will facilitate predictive modelling of host susceptibility under current and future environmental conditions.

ecology↗

Ancient DNA reveals that natural selection has upregulated the immune system over the last 10,000 years

The specific mechanisms through which human biology and disease susceptibility evolved with major shifts in West Eurasian environments and societies over the last 10,000 years(1)--particularly rising infectious burden(2)--remain poorly characterized, despite ancient DNA studies(3-6) identifying hundreds of candidate loci under positive selection(6). Here, we identify specific immune diseases/traits, genes/variants, pathways, and tissues/cell types impacted by natural selection by systematically integrating variant-level selection statistics with genome-wide association study (GWAS), quantitative trait locus (QTL), and molecular bulk/single-cell and gene pathway data. Genome-wide, positively-selected alleles are associated with reduced susceptibility to infectious diseases like tuberculosis (TB), influenza, and intestinal infections; consistent with selection-signal enrichments in immune cells within barrier tissues such as the respiratory tract and gut mucosa. In contrast, positively-selected alleles increase risk of intestinal inflammatory disease and autoimmune hypothyroidism, supportive of a tradeoff between infection and immune-mediated pathology, and consistent with adaptive alleles being QTLs for genes upregulating inflammation and other host-defense pathways. We reveal many novel adaptive loci with convergent signals from selection, infectious disease GWAS and immune-gene QTLs (including at FUT6 for intestinal infections; at ASAP1 for TB; and at LYZ, an antimicrobial enzyme), fine-mapping selection onto likely causal variants. Surprisingly, adaptive alleles had a protective effect on allergic conditions like asthma and dermatitis, challenging a common view that these conditions arose through evolutionary mismatch of present-day hygienic contexts relative to past, pathogen-rich environments(7).

evolutionary biology↗

Generation of a novel Slc7a9G105R mutant mouse identifies new biomarkers for cystinuria

Cystinuria is a rare inherited disease characterized by increased urinary cystine levels resulting in the formation of cystine stones in the urinary tract. Mutations in the genes encoding the cystine transporter complex, SLC3A1 and SLC7A9, are the primary drivers of the disease. Current mouse models used to study cystinuria rely on gene deficiency or spontaneous mutations in mice that do not accurately reflect the pathogenic mutations found in humans. To overcome this limitation, we generated novel Slc7a9G105R mice carrying the most common pathogenic single-point mutation in the SLC7A9 gene. Both male and female Slc7a9G105R mice developed a cystinuria phenotype by 9 weeks of age, characterized by substantial cystine stone formation and increased urinary cystine, lysine, arginine, and ornithine. Slc7a9G105R mice displayed distinct serum and urinary metabolite profiles mapped to dibasic amino acid pathways. Fecal metagenomics revealed that Slc7a9G105R mice had a heterogeneous microbiota with altered functional pathways, including increased L-cysteine biosynthesis. Depletion of the microbiota with antibiotics did not impact cystine stone burden but reduced urinary tract inflammation. Prophylactic or therapeutic dietary supplementation with alpha-lipoic acid reduced stone burden and inflammation, but it also caused damage to the urothelium. Untargeted metabolomics analysis following alpha-lipoic acid supplementation identified metabolites that can increase cystine solubility, reduce inflammation, and damage epithelial cells. Correlation analysis revealed novel serum biomarkers of stone burden, including blood urea nitrogen, 2-hydroxybutyric acid, 2-amino-2-thiazoline-4-carboxylic acid, and indole-3-acetylglycine. Collectively, the Slc7a9G105R mutant mouse model offers a precise, rapid-onset, and translational platform for investigating cystinuria pathogenesis and evaluating potential therapeutic strategies. Translational statementThe development of a novel knock-in mouse model carrying the most common pathogenic point mutation in the human SLC7A9 gene provides a clinically relevant and translationally valuable platform for investigating cystinuria pathogenesis and testing emerging therapies. This model represents the closest possible approximation of human SLC7A9-mediated cystinuria, enabling rigorous preclinical evaluation of small molecules and gene therapies. It has also facilitated the identification of candidate biomarkers for cystine stone burden and treatment response, which are urgently needed to improve disease monitoring and clinical decision-making. The next critical step is to validate these biomarkers in human cystinuria cohorts to support their clinical translation.

pathology↗

Temporal presence does not affect behavioral and neurophysiological indices of pain empathy

The impact of digitally mediated social interaction on understanding others and sharing their emotions has not been thoroughly investigated. We examined how live, video-mediated interaction, as opposed to watching a prerecorded video, affects behavioral, neural, and physiological aspects of empathy for pain. Thirty-five observers watched targets undergoing painful electric stimulation in an electroencephalogram study. We hypothesized that reduced temporal presence, the immediacy or delay with which information is transferred during social interactions, would result in diminished behavioral and electrophysiological empathic responses. However, observers behavioral empathic responses were not diminished with reduced temporal presence. On a neural level, mid-frontal theta was sensitive to the others pain intensity, and we observed significant physiological coupling between participants. Mu suppression, on the other hand, was not modulated by pain intensity. Importantly, neural and physiological indices of empathy were independent of temporal presence. However, exploratory analyses indicated a latency effect of temporal presence on pain-related theta activity with an earlier theta increase in interactions with high temporal presence. The results suggest that the temporal presence of individuals may not be necessary for empathy towards anothers pain. Future studies may investigate more naturalistic social interactions and include motivational aspects of empathy. We discuss implications of these findings for debates on social presence and on second-person neuroscience.

neuroscience↗

Imaging-based screen identifies novel natural compounds that perturb cell and chloroplast division in Chlamydomonas reinhardtii

Successful cell division requires faithful division and segregation of organelles into daughter cells. The unicellular alga Chlamydomonas reinhardtii has a single, large chloroplast whose division is spatiotemporally coordinated with furrowing. Cytoskeletal structures form in the same plane at the midzone of the dividing chloroplast (FtsZ) and the cell (microtubules), but how these structures are coordinated is not understood. Previous work showed that loss of F-actin blocks chloroplast division but not furrow ingression, suggesting that pharmacological perturbations can disorganize these events. In this study, we developed an imaging platform to screen natural compounds that perturb cell division while monitoring FtsZ and microtubules and identified 70 unique compounds. One compound, curcumin, has been proposed to bind to both FtsZ and tubulin proteins in bacteria and eukaryotes, respectively. In C. reinhardtii, where both targets coexist and are involved in cell division, curcumin at a specific dose range caused a severe disruption of the FtsZ ring in chloroplast while leaving the furrow-associated microtubule structures largely intact. Time-lapse imaging showed that loss of FtsZ and chloroplast division failure delayed the completion of furrowing but not the initiation, suggesting that the chloroplast-division checkpoint proposed in other algae requires FtsZ or is absent altogether in C. reinhardtii. SIGNIFICANCE STATEMENTO_LISuccessful cell division requires the coordination of both organelle inheritance and cytokinesis. The unicellular alga Chlamydomonas reinhardtii, which spatiotemporally coordinates the division of its chloroplast with cytokinesis, is an excellent model to study the regulation. C_LIO_LIWe screened libraries of natural compounds for perturbations of cell and/or chloroplast division, identifying 70 unique chemicals. By time-lapse microscopy using one of the hits, curcumin, we demonstrate that although chloroplast division failures delay the completion of cytokinesis, it does not impair initiation. C_LIO_LIThese findings suggest that the chloroplast-division checkpoint proposed in other algae requires FtsZ or is absent altogether in C. reinhardtii. C_LI

cell biology↗

Evidence of genetic isolation and differentiation among historically fragmented British populations of common juniper, Juniperus communis L.

Habitat fragmentation and populations isolation pose a threat to the genetic diversity and adaptability of many species. The common juniper, Juniperus communis L., a keystone species for juniper scrub habitat and one of only three conifers that are native to the UK, has been in decline for more than a century in the UK and across its European range. Remnant UK juniper populations are now highly fragmented and often small, which has raised concerns for their resilience, especially in the face of climate change and the introduction of novel pathogens, such as Phytophthora austrocedri. This work presents a baseline genetic survey of native UK juniper populations and compares patterns of diversity between populations and among three population centres in southern England, the Lake District, and Scotland using both Single Nucleotide Polymorphism (SNP) and Simple Sequence Repeat (SSR) genetic markers. The aim was to evaluate the standing genetic diversity of native juniper stands, the impacts of habitat fragmentation, and to determine whether juniper populations are genetically isolated from one another. We found that juniper populations, while not completely isolated from one another, face substantial barriers to gene flow, especially between the three population centres. These centres also show different patterns of genetic diversity, indicating varying levels of internal gene flow and inbreeding. Our findings can form a baseline from which to monitor the effectiveness of conservation activities, prioritize populations of concern, and guide genetic rescue efforts.

genetics↗

Not like other conifers: evaluation of phenotypic diversity in British common juniper, Juniperus communis, indicates genetic isolation and local adaptations among remnant populations

Habitat fragmentation and genetic isolation pose threats to the genetic diversity and resilience of natural populations. Protecting the genetic diversity of populations, and the processes that sustain it, optimises their ability to adapt to changing conditions and new threats: conservation efforts with this specific goal are known as "dynamic conservation." The common juniper, Juniperus communis, is a keystone species that provides habitat and resources for many plants and animals. It is a highly polymorphic species, and across its natural range it grows in a variety of habitats and growth forms. Juniper populations have been shrinking and becoming increasingly fragmented for over a century in the UK and elsewhere in Europe, raising concerns about the genetic diversity present in juniper populations and their ability to adapt to changing conditions, or their adaptive potential. This paper presents an analysis of the partitioning of phenotypic diversity among regions, populations and families from 16 UK populations assessed in a common garden trial. Our findings suggest high phenotypic variation among populations compared to the variation among families within populations, indicating barriers to gene flow between juniper populations, relatively homogenous populations and, consequently, potentially reduced adaptive potential. This information is a useful baseline for conservation managers and can also help to infer the genetic diversity and adaptive potential of populations.

genetics↗

Pervasive findings of directional selection realize the promise of ancient DNA to elucidate human adaptation

We present a method for detecting evidence of natural selection in ancient DNA time-series data that leverages an opportunity not utilized in previous scans: testing for a consistent trend in allele frequency change over time. By applying this to 8433 West Eurasians who lived over the past 14000 years and 6510 contemporary people, we find an order of magnitude more genome-wide significant signals than previous studies: 347 independent loci with >99% probability of selection. Previous work showed that classic hard sweeps driving advantageous mutations to fixation have been rare over the broad span of human evolution, but in the last ten millennia, many hundreds of alleles have been affected by strong directional selection. Discoveries include an increase from [~]0% to [~]20% in 4000 years for the major risk factor for celiac disease at HLA-DQB1; a rise from [~]0% to [~]8% in 6000 years of blood type B; and fluctuating selection at the TYK2 tuberculosis risk allele rising from [~]2% to [~]9% from [~]5500 to [~]3000 years ago before dropping to [~]3%. We identify instances of coordinated selection on alleles affecting the same trait, with the polygenic score today predictive of body fat percentage decreasing by around a standard deviation over ten millennia, consistent with the "Thrifty Gene" hypothesis that a genetic predisposition to store energy during food scarcity became disadvantageous after farming. We also identify selection for combinations of alleles that are today associated with lighter skin color, lower risk for schizophrenia and bipolar disease, slower health decline, and increased measures related to cognitive performance (scores on intelligence tests, household income, and years of schooling). These traits are measured in modern industrialized societies, so what phenotypes were adaptive in the past is unclear. We estimate selection coefficients at 9.9 million variants, enabling study of how Darwinian forces couple to allelic effects and shape the genetic architecture of complex traits.

evolutionary biology↗

Significant and persistent carryover effects in Scots pine

After tracking Scots pine plants from germination to 15 years old, through contrasting early life environments, we observed significant and persistent carryover effects. Groups of plants from common genetic backgrounds were raised in distinct nursery environments, and growth and phenology traits were measured repeatedly once trees had established in their field sites. Growth and phenology differences were evident for 10 and 6 years post-transplantation to the field, respectively. There was a clear interaction between site of origin and carryover effect, indicating that local adaptation also played a role. Given the increasing rate of tree planting initiatives being undertaken around the world in the name of the climate and biodiversity crises, and the strong dependence on those initiatives of nursery-grown plants, our finding of strong carryover effects of the early life environment has significant implications.

ecology↗

Tree nursery environments and their effect on early trait variation

Despite the major role of nurseries in raising young plants and trees prior to transplantation, not enough is known about how the nursery climate impacts the growth and development of plants from germination through to maturity. It is important for forestry practitioners to understand the effect that different nursery environments may have on early stage growth as these may exceed differences due to genetic variation and can confound the use of early stage traits for selection. Here, a replicated progeny-provenance experiment of the economically and ecologically important species Scots pine (Pinus sylvestris L.) was established in three environmentally distinct nurseries in Scotland and traits including survival, growth, form and phenology were measured. Temperature variation and photoperiod were the only uncontrolled environmental variables during this period, and their effect on measured traits was found to be significant among nurseries from the first growing season onwards. Trait interactions were not consistent between nurseries, indicating that the effectiveness of using proxy traits to select for desirable characteristics may depend on the environment in which the trees are grown. This study is the first in a series that will examine trait variation in Scots pine from seedlings to mature trees and highlights the importance of carefully considering and accounting for the nursery environment when growing trees for subsequent transplantation.

ecology↗

Multiplatform molecular profiling and functional genomic screens identify prognostic signatures and mechanisms underlying MEK inhibitor response in somatic NF1 mutant glioblastoma

NF1 is recurrently mutated in glioblastoma yet the molecular landscape and efficacy of targeted therapies remain unclear. Here, we combine bulk and single cell genomics of human somatic NF1 mutant, IDH-wildtype glioblastomas with functional genomic analysis of cell lines and mouse intracranial tumor models to identify molecular subgroups within NF1 mutant glioblastomas and mechanisms underlying MEK inhibitor response. Targeted DNA sequencing showed homozygous deletion of the cell cycle regulator CDKN2A/B is a poor prognostic marker in somatic NF1 mutant, but not NF1 wildtype, tumors. DNA methylation array profiling revealed three epigenetic groups highlighted by distinct clinical features, co-mutation patterns, and reference methylation classifier identities. Genome-wide CRISPRi screens in glioblastoma cells revealed cell cycle regulators are conserved mediators of cell growth while response to the MEK inhibitor selumetinib converges on Ras/RAF/MEK pathway activation. Repression of the RAF regulator SHOC2 sensitizes glioblastomas to selumetinib in vitro and in vivo in mouse intracranial glioblastoma models. Single cell RNA-sequencing of mouse intracranial glioblastomas treated with the MEK inhibitor selumetinib reveals distinct responses between mesenchymal-like (MES-like) and non MES-like subpopulations suggesting non-MES like cells are intrinsically resistant to MEK inhibition. Finally, single nuclear RNA-sequencing (snRNA-seq) of human NF1 mutant, CDKN2A/B deleted glioblastomas reveals MES-like tumor cells are associated with selumetinib sensitivity signatures while non MES-like cells exhibit increased cell cycle progression and lack selumetinib sensitivity, further supporting the notion that MEK inhibition specifically targets MES-like tumor cell subpopulations. Taken together, our data underscores the heterogeneity between and within somatic NF1 mutant glioblastomas and delineates mechanisms of MEK inhibitor response across distinct tumor subpopulations, guiding the development of future therapeutic strategies that may synergize with MEK inhibition for NF1 mutant tumors. The tumor suppressor NF1 is mutated in 15% of glioblastomas,1-3 the most common malignant brain tumor with poor outcomes and few effective treatments.4 NF1 is a GTPase activating protein (GAP) that negatively regulates Ras, and thus, NF1 loss leads to induction of Ras/RAF/MEK/ERK signaling, driving tumorigenesis and comprising a targetable molecular cascade.5,6 Genomic analysis of glioblastoma demonstrates NF1 mutation is associated with a mesenchymal-like (MES-like) transcriptomic tumor cell subpopulation and altered tumor microenvironment.7,8 More broadly, DNA methylation analysis reveals multiple epigenetic subgroups with overlapping relationships to transcriptomic subtype and DNA alterations, underscoring the complex relationship between genetic drivers and molecular signatures.9 While the updated 2021 Central Nervous System WHO tumor classification incorporates an ever increasing amount of molecular criteria for diffuse astrocytic tumors,10 the existence and clinical significance of molecular subgroups within somatic NF1 mutant, IDH-wildtype glioblastomas based on genetic co-mutations, epigenetic profile, or transcriptomic signatures remain unclear. Preclinical data support the utility of MEK inhibition in NF1 mutant gliomas,11,12 and the MEK inhibitor selumetinib is FDA approved for tumors arising in patients with syndromic neurofibromatosis type 1 (NF-1) harboring a germline NF1 mutation.13,14 In NF-1 associated gliomas, MEK inhibition demonstrates efficacy in a limited case series,15 and combined BRAF/MEK inhibition shows efficacy in BRAF p.V600E mutant gliomas,16 further supporting the translational potential of Ras/Raf/MEK/ERK blockade within genetically defined glioma subtypes. Nevertheless, treatment resistance to molecular monotherapy remains a challenge,17-20 and the mechanisms underlying MEK inhibitor resistance in NF1 mutant glioma are unknown. Here, we integrate targeted DNA sequencing, DNA methylation profiling, and single nuclear RNA-sequencing (snRNA-seq) of human patient somatic NF1 mutant, IDH-wildtype glioblastomas with single cell RNA-sequencing (scRNA-seq), genome-wide clustered regularly interspaced short palindromic repeats interference (CRISPRi) screens, and pharmacologic studies in cell lines and mouse intracranial glioblastoma models to define molecular subgroups and functional mediators of MEK inhibitor response. Targeted DNA sequencing of NF1 mutant, IDH-wildtype glioblastomas (n=186 tumors) revealed CDKN2A/B deletion was associated with poor outcomes in NF1 mutant, but not NF1 wildtype, glioblastomas. DNA methylation profiling (n=129 tumors) demonstrated three epigenetic subgroups with distinct clinical features, co- mutation patterns across cell cycle genes, and reference methylation classifier identities. Genome-wide CRISPRi screens in mouse SB28 and human GBM43 glioblastoma cells identified a conserved cell cycle gene network mediating cell growth, consistent with the clinical importance of additional hits affecting the cell cycle in human somatic NF1 mutant glioblastomas. Moreover, genome-wide mediators of selumetinib response converged upon two Ras pathway effectors mediating selumetinib sensitivity: BRAF and SHOC2. SHOC2 repression in glioblastoma cells significantly improved selumetinib response both in vitro and in intracranial allografts in vivo. Single cell RNA-sequencing (scRNA-seq) of mouse intracranial glioblastomas treated with the MEK inhibitor selumetinib revealed MES-like tumor cells correlated with CDKN2A retention and the CRISPRi screen selumetinib sensitivity signature, with selumetinib resistant cells displaying Ras pathway induction. In contrast, non-MES like tumor cells were CDKN2A deficient and lacked expression of the CRISPRi screen selumetinib sensitivity signature, with selumetinib resistant cells inducing a glial de-differentiation program. Finally, snRNA-seq of NF1 mutant, CDKN2A/B deleted, IDH-wildtype glioblastomas (n=9) showed non MES-like tumor cells exhibit increased cell cycle progression and were not associated with the CRISPRi screen selumetinib sensitivity signature. MES-like tumor cells within newly diagnosed, but not recurrent, tumors retained expression of the CRISPRi screen selumetinib sensitivity signature, suggesting resistance can arise both between and within specific transcriptomic glioblastoma cell tumor cell subpopulations. Taken together, our data identifies clinically important subgroups of NF1 mutant, IDH-wildtype glioblastomas and supports a model in which heterogeneity between tumors and within tumor cell subpopulations underlies MEK inhibitor response, supporting the need for additional synergistic therapeutic approaches beyond maximal Ras pathway blockade for NF1 mutant glioblastomas.

genomics↗

Evaluating genomic offset predictions in a forest tree with high population genetic structure

Predicting how tree populations will respond to climate change is an urgent societal concern. An increasingly popular way to make such predictions is the genomic offset (GO) approach, which aims to use genomic and climate data to identify populations that may experience climate maladaptation in the near future. More precisely, GO tries to represent the change in allele frequencies required to maintain the current gene-climate relationships under climate change. However, the GO approach has major limitations and, despite promising validation of its predictions using height data from common gardens, it still lacks broad empirical testing. In the present study, we evaluated the consistency and empirical validity of GO predictions in maritime pine (Pinus pinaster Ait.), a tree species from southwestern Europe and North Africa with a marked population genetic structure. First, gene-climate relationships were estimated using 9,817 SNPs genotyped in 454 trees from 34 populations; and candidate SNPs potentially involved in climate adaptation were identified. Second, GO was predicted using four methods, namely Gradient Forest (GF), Redundancy Analysis (RDA), latent factor mixed model (LFMM) and Generalised Dissimilarity Modeling (GDM), two sets of SNPs (candidate and control SNPs) and five climate general circulation models (GCMs) to account for uncertainty in future climate predictions. Last, the empirical validity of GO predictions was evaluated within a Bayesian framework by estimating the associations between GO predictions and two independent data sources: mortality data from National Forest Inventories (NFI), and mortality and height data from five common gardens in contrasting environments. We found high variability in GO predictions across methods, SNP sets and GCMs. Regarding validation, GO predictions with GDM and GF (and to a lesser extent RDA) based on the candidate SNPs showed the strongest and most consistent associations with mortality rates in common gardens and NFI plots. We found almost no association between GO predictions and tree height in common gardens, most likely due to the overwhelming effect of population genetic structure on tree height in this species. Our study demonstrates the imperative to validate GO predictions with a range of independent data sources before they can be used as informative and reliable metrics in conservation or management strategies.

evolutionary biology↗

Evaluation of the fitness benefit conferred by RNA cis-regulators to Streptococcus pneumoniae during infection

Bacteria have evolved complex transcriptional regulatory networks, as well as many diverse regulatory strategies at the RNA level, to enable more efficient use of metabolic resources and rapid response to changing conditions. However, most RNA-based regulatory mechanisms are not well conserved across different bacterial species despite controlling genes important for virulence or essential biosynthetic processes. Here, we characterize the activity of, and assess the fitness benefit conferred by, twelve cis-acting regulatory RNAs (including several riboswitches and a T-box), in the opportunistic pathogen Streptococcus pneumoniae TIGR4. By evaluating native locus mutants of each regulator that result in constitutively active and repressed expression, we establish that growth defects in planktonic culture are associated with constitutive repression of gene expression, while constitutive activation of gene expression is rarely deleterious. In contrast, in mouse nasal carriage and pneumonia models, strains with both constitutively active and repressed gene expression are significantly less fit than matched control strains. Furthermore, two RNA-regulated pathways, FMN synthesis/transport and pyrimidine synthesis/transport display the greatest sensitivity to mis-regulation or constitutive gene repression in both planktonic culture and in vivo environments. Our findings suggest that despite lack of an obvious phenotypes associated with gene over-expression in vitro, the fitness benefit conferred on bacteria via fine-tuned metabolic regulation through cis-acting regulatory RNAs is often substantial in vivo, and therefore easily sufficient to drive the evolution and maintenance of diverse RNA regulatory mechanisms.

microbiology↗

Patterns of subregional cerebellar atrophy across epilepsy syndromes: An ENIGMA-Epilepsy study

ObjectiveThe intricate neuroanatomical structure of the cerebellum is of longstanding interest in epilepsy, but has been poorly characterized within the current cortico-centric models of this disease. We quantified cross-sectional regional cerebellar lobule volumes using structural MRI in 1,602 adults with epilepsy and 1,022 healthy controls across twenty-two sites from the global ENIGMA-Epilepsy working group. MethodsA state-of-the-art deep learning-based approach was employed that parcellates the cerebellum into 28 neuroanatomical subregions. Linear mixed models compared total and regional cerebellar volume in i) all epilepsies; ii) temporal lobe epilepsy with hippocampal sclerosis (TLE-HS); iii) non-lesional temporal lobe epilepsy (TLE-NL); iv) genetic generalised epilepsy; and (v) extra-temporal focal epilepsy (ETLE). Relationships were examined for cerebellar volume versus age at seizure onset, duration of epilepsy, phenytoin treatment, and cerebral cortical thickness. ResultsAcross all epilepsies, reduced total cerebellar volume was observed (d=0.42). Maximum volume loss was observed in the corpus medullare (dmax=0.49) and posterior lobe grey matter regions, including bilateral lobules VIIB (dmax= 0.47), Crus I/II (dmax= 0.39), VIIIA (dmax=0.45) and VIIIB (dmax=0.40). Earlier age at seizure onset ({eta}{rho}2max=0.05) and longer epilepsy duration ({eta}{rho}2max=0.06) correlated with reduced volume in these regions. Findings were most pronounced in TLE-HS and ETLE with distinct neuroanatomical profiles observed in the posterior lobe. Phenytoin treatment was associated with reduced posterior lobe volume. Cerebellum volume correlated with cerebral cortical thinning more strongly in the epilepsy cohort than in controls. SignificanceWe provide robust evidence of deep cerebellar and posterior lobe subregional grey matter volume loss in patients with chronic epilepsy. Volume loss was maximal for posterior subregions implicated in non-motor functions, relative to motor regions of both the anterior and posterior lobe. Associations between cerebral and cerebellar changes, and variability of neuroanatomical profiles across epilepsy syndromes argue for more precise incorporation of cerebellum subregions into neurobiological models of epilepsy. Key pointsO_LICerebellar involvement in epilepsy is poorly understood within current cortico-centric models of this disease C_LIO_LIWe used a novel, deep learning segmentation tool to parcellate the cerebellum into 28 anatomical subunits using an international MRI dataset of 1,602 individuals with epilepsy (aged between 18 and 65 years old) including temporal lobe epilepsy with hippocampal sclerosis (TLE-HS, n=562), TLE non-lesional (TLE-NL, n=284), generalised genetic epilepsy (GGE, n=186) and extra temporal focal epilepsy (ETLE, n=251) and 1,022 controls. C_LIO_LIAcross all epilepsies (vs. controls) robust changes in the corpus medullare and posterior lobe "non-motor" regions were observed, with maximal differences in bilateral VIIB and Crus II lobules. Lower volume of these regions correlated with longer disease duration. Anterior "motor lobe" regions were relatively spared. C_LIO_LIFindings were most pronounced in TLE-HS and ETLE groups, with distinct neuroanatomical profiles observed. C_LIO_LICortical thinning was associated with pronounced cerebellar volume loss in TLE-HS epilepsy, relative to controls. C_LI ETHICAL PUBLICATION STATEMENTWe confirm that we have read the Journals position on issues involved in ethical publication and affirm that this report is consistent with those guidelines.

neuroscience↗

NOTCH3 drives meningioma tumorigenesis and resistance to radiotherapy

Meningiomas are the most common primary intracranial tumors1-3. Treatments for patients with meningiomas are limited to surgery and radiotherapy, and systemic therapies remain ineffective or experimental4,5. Resistance to radiotherapy is common in high-grade meningiomas6, and the cell types and signaling mechanisms driving meningioma tumorigenesis or resistance to radiotherapy are incompletely understood. Here we report NOTCH3 drives meningioma tumorigenesis and resistance to radiotherapy and find NOTCH3+ meningioma mural cells are conserved across meningiomas from humans, dogs, and mice. NOTCH3+ cells are restricted to the perivascular niche during meningeal development and homeostasis and in low-grade meningiomas but are expressed throughout high-grade meningiomas that are resistant to radiotherapy. Integrating single-cell transcriptomics with lineage tracing and imaging approaches across mouse genetic and xenograft models, we show NOTCH3 drives tumor initiating capacity, cell proliferation, angiogenesis, and resistance to radiotherapy to increase meningioma growth and reduce survival. An antibody stabilizing the extracellular negative regulatory region of NOTCH37,8 blocks meningioma tumorigenesis and sensitizes meningiomas to radiotherapy, reducing tumor growth and improving survival in preclinical models. In summary, our results identify a conserved cell type and signaling mechanism that underlie meningioma tumorigenesis and resistance to radiotherapy, revealing a new therapeutic vulnerability to treat meningiomas that are resistant to standard interventions.

cancer biology↗