Biology subjects

Bird, A.

Publications and source records attributed to Bird, A..

12 recordsLinked to original sources

bioRxiv2025

Pervasive binding of the stem cell transcription factor SALL4 shapes the chromatin landscape

Mechanistic understanding of how gene activity is regulated has focussed on the roles of transcription factors at promoters and enhancers, whereas mechanisms capable of globally fine-tuning gene expression through dispersed binding across large genomic regions have received less attention. Here we provide evidence that the essential stem cell transcription factor SALL4 modulates gene expression according to DNA base composition by reading the frequency of its AT-rich target motifs. Using an acute depletion strategy, we establish that SALL4-repressed genes localise to AT-rich genomic domains with high levels of dispersed SALL4 occupancy. While SALL4 is localised within peaks and distributed broadly across the genome, explainable machine learning revealed that its occupancy across the gene body is a strong predictor of transcriptional output. We observed rapid increases in chromatin accessibility and histone acetylation independent of transcriptional activity, suggesting that SALL4 primarily acts upon chromatin, while transcriptional changes are secondary. Accordingly, preventing SALL4 from recruiting the histone deacetylase and nucleosome remodelling corepressor NuRD mimicked a Sall4-null phenotype in stem cells and animal models. Our findings reveal that SALL4s interpretation of DNA sequence optimises the global epigenome and transcriptome, a process integral to maintaining the stem cell gene expression programme.

genomics↗

bioRxiv2025

Tetramerisation governs SALL transcription factor function in development and disease

Spalt-like (SALL) proteins are C2H2 zinc-finger transcription factors important for embryogenesis, with mutations in SALL1 and SALL4 causing rare congenital disorders Townes-Brocks and Okihiro syndromes, respectively. While SALL proteins are known to associate with one another, the biological significance of the resulting complexes is unknown. Here we define a conserved glutamine-rich region that mediates SALL1/4 homo- and heterotetramerisation and find that complex formation is indispensable for DNA binding. Modelling a patient mutation that abolishes SALL4 multimerisation led to gene misregulation and, in mice, embryonic lethality, therefore phenocopying a complete Sall4 knockout. Furthermore, a common disease-causing SALL1 truncation, which retains multimerisation but lacks DNA-binding domains, sequesters SALL4 into heterotetramers that are defective in DNA binding, thereby providing a mechanistic explanation for the dominant-negative effects of many Townes-Brocks mutations. Together, our findings establish tetramerisation as a prerequisite for SALL function, linking complex formation to developmental gene regulation and human disease.

molecular biology↗

bioRxiv2025

Benchmarking fungal species classification using Oxford Nanopore Technologies long-read ITS metabarcodes

The gold standard for fungal classification has long been specimen or culture-based, however, many Fungi display simple morphological characteristics, or are unculturable by current methods. Using DNA metabarcodes, many taxa can be identified from a single sample simultaneously, but annotating these sequences with species-level taxonomy often requires more information than short-read sequences afford. Oxford Nanopore Technologies (ONT) long-read sequencing has achieved species-level resolution in metabarcoding of bacteria and invertebrates, but complex fungal taxonomy and biology has been a hurdle to the application of this technology for Fungi. In this work, we use a mock community of real ONT long-read metabarcodes from 54 fungi from the Dikarya subkingdom to extensively benchmark classification approaches to assign species-level taxonomy. We compare eight classification approaches spanning alignment and k-mer based algorithms, to emerging machine learning methods, and assess the sensitivity, precision, and diversity estimation of each classifier at the species level. Our results indicate that classifiers which determine informed thresholds of sequence similarity based on a provided reference database are not only more accurate at the species level, but more consistent to correct species abundance distributions, and better able to place sequences from unknown species taxonomically closer to their true origin. We demonstrate the power of machine learning classifiers to leverage long-read metabarcodes, and their promise as emerging methods in DNA sequence classification. We present our results in the context of real-world use cases, to demonstrate that species-level taxonomic inference is achievable, precise, and reliable with ONT long-read fungal metabarcodes.

molecular biology↗

bioRxiv2025

MeCP2 requires interactions with nucleosome linker DNA to read chromatin DNA methylation

Methyl-CpG-binding protein 2 (MeCP2) is an epigenetic reader essential for neuronal function, but how it binds DNA methylation within chromatin is unclear. Using designer nucleosomes we observe that MeCP2 preferentially engages DNA methylation positioned at multiple sites around the nucleosome. Surprisingly, MeCP2 can bind methylated DNA in bent, histone-contacting core nucleosomal DNA. However, this activity requires additional DNA linker interactions, using MeCP2 regions beyond its canonical methyl binding domain. We mapped a novel DNA-binding region in MeCP2 required for this function. Furthermore, histone H1 antagonises the MeCP2-nucleosome interaction by competing for linker DNA. Overall, this reveals that MeCP2 combines nonspecific but essential interactions with linker DNA to aid specific binding to nucleosomal methylated DNA, independent of nucleosome structure. Our findings reveal a novel contribution to full MeCP2 function, and mechanistic insight into how this clinically important protein interacts with chromatin.

biochemistry↗

bioRxiv2025

Unravelling epigenetic regulation of gene expression with explainable AI - a case study leveraging degron data

Transcriptional regulation involves complex interactions with chromatin-associated proteins, but disentangling these mechanistically remains challenging. Here, we generate deep learning models to predict RNA Pol-II occupancy from chromatin-associated protein profiles in unperturbed conditions. We evaluate the suitability of Shapley Additive Explanations (SHAP), a widely used explainable AI (XAI) approach, to infer functional relevance and analyse regulatory mechanisms across diverse datasets. We aim to validate these insights using data from degron-based perturbation experiments. Remarkably, genes ranked by SHAP importance predict direct targets of perturbation even from unperturbed data, enabling inference without costly experimental interventions. Our analysis reveals that SHAP not only predicts differential gene expression but also captures the magnitude of transcriptional changes. We validate the cooperative roles of SET1A and ZC3H4 at promoters and uncover novel regulatory contributions of ZC3H4 at gene bodies in influencing transcription. Cross-dataset validation uncovers unexpected connections between ZC3H4, a component of the Restrictor complex, and INTS11, part of the Integrator complex, suggesting crosstalk mediated by H3K4me3 and the SET1/COMPASS complex in transcriptional regulation. These findings highlight the power of integrating predictive modelling and experimental validation to unravel complex context-dependent regulatory networks and generate novel biological hypotheses. Author summaryGenes are turned on or off through complex processes involving many proteins that interact with DNA wrapped histones and modify their structure. These changes, known as epigenetic modifications, help control how genes are expressed without altering the DNA sequence itself. In this study, we wanted to understand how different proteins influence gene activity in mouse stem cells by looking at their positions along the genome, particularly whether they act near the genes start site (promoter) or within the gene body. To do this, we used machine learning models and a method called SHAP, which helps explain the models decisions. By comparing our predictions to data from experiments where specific proteins were removed, we found that some proteins have context-specific effects, acting not only at the promoter but also along the whole gene body. Our approach highlighted both well-known and unexpected regulators of transcription and revealed that gene body signals, which are often overlooked, can play key roles. These findings show how explainable AI can help uncover new insights into how epigenetic features shape gene regulation, and offer a powerful way to generate testable hypotheses from complex genomic data.

bioinformatics↗

bioRxiv2024

Mating-compatibility genes employed as diagnostic markers to identify novel incursions of the myrtle rust pathogen Austropuccinia psidii

Austropuccinia psidii is the causal agent of myrtle rust in over 480 species within the family Myrtaceae. Lineages of A. psidii are structured by host in its native range, and some have success on new-encounter hosts. For example, the pandemic biotype has spread beyond South America, and proliferation of other lineages is an additional risk to biodiversity and industries. Efforts to manage A. psidii incursions, including lineage differentiation, relies on variable microsatellite markers. Testing these markers is time-consuming and complex, particularly on a large scale. We designed a novel diagnostic approach targeting the fungal mating-type HD (homeodomain) transcription factor locus to address these limitations. The HD locus (bW1/2-HD1 and bE1/2-HD2) is highly polymorphic, facilitating clear biological predictions about its inheritance from founding populations. To be considered the same lineage, all four HD alleles must be identical. Our lineage diagnostics relies on PCR amplification of the HD locus in different genotypes of A. psidii followed by amplicon sequencing using Oxford Nanopore Technologies (ONT) and comparative analysis. The lineage-specific assay was validated on four isolates with existing genomes, uncharacterized isolates, and directly from infected leaf material. We reconstructed HD alleles from amplicons and confirmed their sequence identity relative to their reference. Genealogies using HD alleles confirmed the variations at the HD loci among lineages/isolates. Our study establishes a robust diagnostic tool, for differentiating known lineages of A. psidii based biological predictions. This tool holds promise for detecting new pathogen incursions and can be refined for broader applications, including air-sample detection and mixed-isolate infections.

plant biology↗

bioRxiv2023

MeCP2 binds to methylated DNA independently of phase separation and heterochromatin organisation

Correlative evidence has suggested that DNA methylation promotes the formation of transcriptionally silent heterochromatin. Accordingly, the methyl-CpG binding domain protein MeCP2 is often portrayed as a constituent of heterochromatin. This interpretation has been reinforced by the use of mouse cells as an experimental system for studying the mammalian epigenome, as heterochromatin, DNA methylation and MeCP2 colocalise in prominent foci. The findings presented here revise this view. We show that focal localisation of MeCP2 in mice is independent of heterochromatin, as DNA methylation-dependent MeCP2 foci persist even when the signature heterochromatin histone mark H3K9me3 is absent and heterochromatin protein HP1 is diffuse. Contrary to the proposal that MeCP2 forms condensates at mouse heterochromatic foci via liquid-liquid phase transition, the short methyl-CpG binding domain, which lacks the disordered domains thought to be required for condensation, is sufficient to target foci in mouse cells. Importantly, we find that the formation of MeCP2 foci in mice is highly atypical, as they are indetectable in 14 out of 16 other mammalian species, including humans. Notably, MeCP2 foci are absent in Mus spretus which can interbreed with Mus musculus but lacks its highly methylated pericentric satellite DNA repeats. We conclude that MeCP2 has no intrinsic tendency to form nuclear condensates and its localisation is independent of heterochromatin formation. Instead, the distribution of MeCP2 in the nucleus is primarily determined by global DNA methylation patterns and is typically euchromatic.

cell biology↗

bioRxiv2023

Skewed distribution of spines is independent of presynaptic transmitter release and synaptic plasticity and emerges early during adult neurogenesis

Dendritic spines are crucial for excitatory synaptic transmission as the size of a spine head correlates with the strength of its synapse. The distribution of spine head sizes follows a lognormal-like distribution with more small spines than large ones. We analysed the impact of synaptic activity and plasticity on the spine size distribution in adult-born hippocampal granule cells from rats with induced homo- and heterosynaptic long-term plasticity in vivo and CA1 pyramidal cells from Munc-13-1-Munc13-2 knockout mice with completely blocked synaptic transmission. Neither induction of extrinsic synaptic plasticity nor the blockage of presynaptic activity degrades the lognormal-like distribution but changes its mean, variance and skewness. The skewed distribution develops early in the life of the neuron. Our findings and their computational modelling support the idea that intrinsic synaptic plasticity is sufficient for the generation, while a combination of intrinsic and extrinsic synaptic plasticity maintains lognormal like distribution of spines.

neuroscience↗

bioRxiv2022

Evaluation of CA repeat arrays as targets for MeCP2 function in the brain

The DNA binding protein MeCP2 is reported to bind methylated cytosine in CG and CA motifs in genomic DNA, but it was recently proposed that arrays of tandemly repeated CA containing either methylated or hydroxymethylated cytosine are the primary targets for MeCP2 binding and function. Here we investigated the predictions of this hypothesis using a range of published datasets. We failed to detect enrichment of cytosine modification at genomic CA repeat arrays in mouse brain regions and found no evidence for preferential MeCP2 binding at CA repeats. Moreover, we did not observe a correlation between the CA repeat density near genes and their degree of transcriptional deregulation when MeCP2 was absent. Our results do not provide support for the hypothesis that CA repeats are key mediators of MeCP2 function. Instead, we found that CA repeats are subject to CAC methylation to a degree that is typical of the surrounding genome and contribute modestly to MeCP2-mediated modulation of gene expression in accordance with their content of this canonical target motif.

genomics↗

bioRxiv2020

SALL4 controls cell fate in response to DNA base composition

SO_SCPLOWUMMARYC_SCPLOWMammalian genomes contain long domains with distinct average compositions of A/T versus G/C base pairs. In a screen for proteins that might interpret base composition by binding to AT-rich motifs, we identified the stem cell factor SALL4 which contains multiple zinc-fingers. Mutation of the domain responsible for AT binding drastically reduced SALL4 genome occupancy and prematurely up-regulated genes in proportion to their AT content. Inactivation of this single AT-binding zinc-finger cluster mimicked defects seen in Sall4-null cells, including precocious differentiation of embryonic stem cells and embryonic lethality in mice. In contrast, deletion of two other zinc-finger clusters was phenotypically neutral. Our data indicate that loss of pluripotency is triggered by down-regulation of SALL4, leading to de-repression of a set of AT-rich genes that promotes neuronal differentiation. We conclude that base composition is not merely a passive by-product of genome evolution, but constitutes a signal that aids control of cell fate. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=190 SRC="FIGDIR/small/179481v2_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@1ec4eb9org.highwire.dtl.DTLVardef@1246a36org.highwire.dtl.DTLVardef@1b9134dorg.highwire.dtl.DTLVardef@1a24904_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

bioRxiv2020

Quantitative analysis questions the role of MeCP2 in alternative splicing

MeCP2 is an abundant protein in mature nerve cells, where it binds to DNA sequences containing methylated cytosine. Mutations in the MECP2 gene cause the severe neurological disorder Rett syndrome (RTT), provoking intensive study of the underlying molecular mechanisms. Multiple functions have been proposed, one of which involves a regulatory role in splicing. Here we leverage the recent availability of high-quality transcriptomic data sets to probe quantitatively the potential influence of MeCP2 on alternative splicing. Using a variety of machine learning approaches that can capture both linear and non-linear associations, we show that widely different levels of MeCP2 have a minimal effect on alternative splicing in three different systems. Alternative splicing was also apparently indifferent to developmental changes in DNA methylation levels. Our results suggest that regulation of splicing is not a major function of MeCP2. They also highlight the importance of multi-variate quantitative analyses in the formulation of biological hypotheses. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/115154v2_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@1842d5eorg.highwire.dtl.DTLVardef@be867corg.highwire.dtl.DTLVardef@6f46a8org.highwire.dtl.DTLVardef@187f83c_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2018

Mathematical modelling reveals how MeCP2 restrains transcriptional elongation in human neurons

Patterns of gene expression are primarily determined by proteins that locally enhance or repress transcription. While many transcription factors target a restricted number of genes, others appear to modulate transcription levels globally. An example is MeCP2, an abundant methylated-DNA binding protein that is mutated in the neurological disorder Rett Syndrome. Despite much research, the molecular mechanism by which MeCP2 regulates gene expression is not fully resolved. Here we integrate quantitative, multi-dimensional experimental analysis and mathematical modelling to show that MeCP2 is a novel type of global transcriptional regulator whose binding to DNA creates "slow sites" in gene bodies. Waves of slowed-down RNA polymerase II formed behind these sites travel backward and indirectly affect initiation, reminiscent of defect-induced shock waves in non-equilibrium physics transport models. This mechanism differs from conventional gene regulation mechanisms, which often involve direct modulation of transcription initiation. Our findings uncover a genome-wide function of DNA methylation that may account for the reversibility of Rett syndrome in mice. Moreover, our combined theoretical and experimental approach provides a general method for understanding how global gene expression patterns are choreographed.

biophysics↗