Biology subjects

Lister, R.

Publications and source records attributed to Lister, R..

At least 19 recordsLinked to original sources

bioRxiv2026

Make it so: Rapid and affordable plasmid sequencing on ONT platforms with PICARD-seq

Plasmid construction underpins molecular biology and synthetic biology, yet validation is often limited to the inserted fragment rather than the whole plasmid, and around a third of laboratory-made plasmids carry sequence errors that can affect function. Sanger sequencing scales poorly across whole plasmids, while short-read approaches cannot resolve the repeated DNA parts, such as promoters, that are common in synthetic constructs. We present PICARD-seq, a rapid nanopore-based protocol that uses off-the-shelf Tn5 rapid barcoding reagents and a MinION to sequence pools of whole plasmids in under a day, and we systematically benchmark the computational pipelines available for analysing the resulting data. Using a curated set of 25 plasmids of known sequence spanning 3.0-20.6 kbp, including various dilution series and repetitive multi-part constructs, we ran five independent replicates of each pipeline. The ONT EPI2ME Clone Validation workflow was fast (13-18 min) but stochastic, varying between replicates for both plasmids assembled and what sequence was returned; Canu outperformed the default Flye assembler, and reducing the minimum coverage parameter from 60x to 20x substantially improved assembly of large, repetitive, and dilute samples. The ensemble assembler Autocycler was slower (81-111 min) but gave the highest and most consistent rate of recovering the expected sequence. Complementary read mapping with minimap2 distinguished genuine sequence differences from assembly artefacts. Applying PICARD-seq to problematic plasmids revealed backbone concatemers, a misincorporated promoter part, and a mixed population of rearranged molecules in a repetitive construct. PICARD-seq makes routine whole-plasmid validation practical and affordable for individual laboratories.

bioinformatics↗

bioRxiv2025

CREation of an expanded plant memory gene circuit toolkit

Genetic circuits rely on modular, well-characterized genetic parts to achieve predictable cellular behaviour. Despite their widespread adoption, biological parts are complex and when used in a new molecular context can result in unexpected outcomes. Site-specific recombinases have been widely used due to their unique ability to induce precise, irreversible changes to a DNA sequence, making them ideal tools for memory logic operations. However, unexpected context-specific failures of even the most widely used recombinase, Cre, has limited the expansion and complexity of synthetic gene circuits in diverse species. Here, through a systematic analysis of Cre failure in plant gene circuits, we uncovered multiple unexpected post-recombination interactions within the transcriptional unit between the promoter region, recombinase, and their cognate recognition sites. These significantly inhibit transcriptional activity, preventing circuit functionality. Specifically, post-recombination Cre recombinase exhibits an inhibitory property by binding to lox sites, with the remaining lox site repressing transcription. By thoroughly characterizing these dynamics, we restored Cre functionality and expanded the plant-based recombinase toolkit for Cre-related recombinases, developing combinations of recombinases and cognate sites with different activation levels for constructing logic gates with stable memory functions. We further developed multiple functional split-recombinase systems for simultaneous logic using a range of dimerization domains and constructed complex logic gates, including 3-input and 6-input AND gates. Together, this exploration of component context dependency in genetic circuits, even with commonly used parts like the Cre/lox system, has implications extending beyond plant systems, and significantly expands plant memory circuit capabilities.

synthetic biology↗

bioRxiv2025

Multigenerational Tracking of Reef-Building Corals Using CRISPR-Cas9induced Genetic Barcodes and eDNA Metabarcoding

Widespread biodiversity loss driven by human activity has intensified global efforts to restore degraded ecosystems. Yet a key challenge remains: how to track restored individuals and their offspring over time and space to assess the true impact of restoration? This is especially pressing for coral reefs, which support a quarter of all marine species, are in severe decline globally, and are now the focus of growing restoration initiatives worldwide. Here, we demonstrate a novel approach that combines genome editing and environmental DNA (eDNA) monitoring to enable scalable, non-invasive tracking of individual corals and their offspring. Using CRISPR-Cas9, we introduced unique genetic barcodes into non-coding regions of the Acropora millepora genome. These barcodes - stable, heritable, and distributed across the genome - will allow for individual-level identification over multiple generations. We show that these barcodes can be reliably detected in surrounding seawater using eDNA metabarcoding, offering a powerful, non-destructive tool for tracking corals in situ. Together, this approach provides a proof-of-concept for precision monitoring of restoration outcomes, with broad applicability across species and ecosystems.

genetics↗

bioRxiv2024

Transient Naive Treatment (TNT) iPS cells do not feature Sendai virus expression: Response to Sendai virus persistence questions the transient naive reprogramming method for iPSC generation

SummaryThe Transient Naive Treatment (TNT) reprogramming method involves a brief period of culturing in naive media early in the reprogramming process. Through conducting extensive molecular, epigenetic, and functional analyses on numerous induced pluripotent stem cell lines, we have demonstrated that TNT reprogramming facilitates epigenetic memory erasure and produces induced pluripotent stem (iPS) cells more similar to embryonic stem (ES) cells than conventional reprogramming methods1. In 2024, De Los Angeles et al. posted a contradictory results preprint on bioRxiv titled Sendai virus persistence questions the transient naive reprogramming method for iPSC generation2. Their claims include: 1) that Sendai virus expression in naive cultured cells questions the TNT reprogramming method, 2) the possible selection of cells (clonal expansion) with Sendai virus expression during TNT reprogramming, 3) Sendai virus genes being expressed in control samples implying a potential sample mix-up. Here, we demonstrate these claims are not directly supported by the data, and emphasize that we assessed the possibility of cell sub-population selection experimentally in Buckberry et al. (2023). Moreover, our re-analyses of the data in the context of Sendai virus expression during reprogramming actually highlight the advantages of TNT reprogramming concerning the timing of the naive media treatment and the absence of detectable Sendai virus gene expression.

developmental biology↗

bioRxiv2024

Diversification of gene expression across extremophytes and stress-sensitive species in the Brassicaceae

Plants are composed of diverse cell types that facilitate adaptations to the environment, yet cross-species comparisons of such response programs at single-cell resolution remain scarce. To explore this diversity, here we profiled >200,000 root cells from five Brassicaceae species, including stress-sensitive species (Arabidopsis thaliana, Sisymbrium irio), extremophytes (Eutrema salsugineum, Schrenkiella parvula), and the polyploid crop Camelina sativa under control, NaCl, and abscisic acid (ABA) treatments. We developed a computational pipeline to characterize the conservation and divergence of cell-type gene expression across the Brassicaceae, revealing that approximately half of previously defined Arabidopsis cell-type markers fail to maintain conserved expression in one or more non-Arabidopsis species. Therefore, we curated a refined set of pan-Brassicaceae markers and identified orthologs whose expression profiles have diverged across lineages. Using in situ hybridization, we mapped distinct cortex subpopulations to specific cortical layers across species, and found flavonoid biosynthesis programs preferentially localized to the inner cortex layer, linking cortex-layer specification to metabolic specialization. Cell-type contributions to stress responses differed among species and across treatments, with lineage-specific losses of responsiveness occurring less frequently but evolutionarily more favored than lineage-specific gains. In C. sativa, sub-genomes contributed equally to stress responses, and homeologs with divergent responses typically lacked other signatures of functional divergence. Together, this work establishes a foundational root single-cell atlas and an analytical framework for multi-species comparative transcriptomics, providing insights into how stress responses diversify across cell types, stress-sensitive to stress-adapted species, and in crop lineages.

plant biology↗

bioRxiv2023

Characterization of DNA methylation reader proteins of Arabidopsis thaliana

In plants, cytosine DNA methylation (mC) is largely associated with transcriptional repression of transposable elements, but it can also be found in the body of expressed genes, referred to as gene body methylation (GbM). GbM is correlated with ubiquitously expressed genes, however its function, or absence thereof, is highly debated. The different output that mC can have raises questions as to how it is interpreted - or read - differently in these sequence and genomic contexts. To screen for potential mC binding proteins, we performed an unbiased DNA affinity pull-down assay combined with quantitative mass spectrometry using methylated DNA probes for each DNA sequence context. All mC readers known to date were found to preferentially bind to the methylated probes, along with a range of new mC binding protein candidates. Functional characterization of these mC readers, focused on the MBD and SUVH families, was undertaken by ChIP-seq mapping of genome-wide binding sites, their protein interactors, and the impact of high-order mutations on transcriptomic and epigenomic profiles. Together, this highlighted specific context preferences for these proteins, and in particular the ability of MBD2 to bind specifically to GbM. This comprehensive analysis of Arabidopsis mC readers emphasizes the complexity and interconnectivity between DNA methylation and chromatin remodelling processes in plants.

plant biology↗

bioRxiv2023

The influence of prenatal alcohol exposure and maternal diet on offspring DNA methylation: a cross-species study

Alcohol consumption in pregnancy can affect genome regulation in the developing offspring but results have been contradictory. We employed a physiologically relevant murine model of short-term moderate prenatal alcohol exposure (PAE) resembling common patterns of alcohol consumption in pregnancy in humans. Early moderate PAE was sufficient to affect site-specific DNA methylation in new-born pups without altering behavioural outcomes in adult littermates. Whole-genome bisulfite sequencing of neonatal brain and liver revealed stochastic influence on DNA methylation that was mostly tissue-specific, with some perturbations likely originating as early as gastrulation. DNA methylation differences were enriched in non-coding genomic regions with regulatory potential indicative of broad effects of alcohol on genome regulation. Replication studies in human cohorts with fetal alcohol spectrum disorder suggested some effects were metastable at genes linked to disease-relevant traits including facial morphology, intelligence, educational attainment, autism, and schizophrenia. In our murine model, a maternal diet high in folate and choline protected against some of the damaging effects of early moderate PAE on DNA methylation. Our studies demonstrate that early moderate exposure is sufficient to affect fetal genome regulation even in the absence of overt phenotypic changes and highlight a role for preventative maternal dietary interventions.

genetics↗

bioRxiv2023

Establishment of cell transcriptional identity during seed germination

Germination involves highly dynamic transcriptional programs as the cells of seeds reactivate and express the functions necessary to establish in the environment. Individual cell types have distinct roles within the embryo, so must therefore have cell-type specific gene expression and gene regulatory networks. We can better understand how the functions of different cell types are established and contribute to the embryo by determining how cell-type specific transcription begins and changes through germination. Here we describe a temporal analysis of the germinating Arabidopsis embryo at single-cell resolution. We define the highly dynamic cell-type specific patterns of gene expression and how these relate to changing cellular function as germination progresses. Underlying these are unique gene regulatory networks and transcription factor activity. We unexpectedly discover that most embryo cells transition through the same initial transcriptional state early in germination, after which cell-type specific gene expression is established. Furthermore, our analyses support previous findings that the earliest events leading to the induction of embryo growth take place in the vasculature. Overall, our study constitutes a general framework to characterise Arabidopsis cell states through embryo growth, allowing investigation of different genotypes and other plant species whose seed strategies may differ.

plant biology↗

bioRxiv2022

PHYTOMap: Multiplexed single-cell 3D spatial gene expression analysis in plant tissue

Retrieving the complex responses of individual cells in the native three-dimensional tissue context is crucial for a complete understanding of tissue functions. Here, we present PHYTOMap (Plant HYbridization-based Targeted Observation of gene expression Map), a multiplexed fluorescence in situ hybridization method that enables single-cell and spatial analysis of gene expression in whole-mount plant tissue in a transgene-free manner and at low cost. We applied PHYTOMap to simultaneously analyze 28 cell type marker genes in Arabidopsis roots and successfully identified major cell types, demonstrating that our method can substantially accelerate the spatial mapping of marker genes defined in single-cell RNA-seq datasets in complex plant tissue.

plant biology↗

bioRxiv2022

A modular dCas9-based recruitment platform for combinatorial epigenome editing

CRISPR-dCas9 based targeted epigenome editing tools allow precise manipulation and functional investigation of various genome modifications. However, these tools often display substantial context dependency, with highly variable efficacy between target genes and cell types, potentially due to underlying variation in the chromatin modifications present. While simultaneous recruitment of multiple distinct effector chromatin regulators has improved efficacy, these systems typically lack control over which effectors bind and their spatial organisation. To overcome this we have created a new modular combinatorial epigenome editing platform, called SSSavi. This system acts as an interchangeable and reconfigurable docking platform fused to dCas9 to enable simultaneous recruitment of up to four different effectors, allowing precise control and reconfiguration of the effector composition and spatial ordering of their binding. We demonstrate the activity and specificity of the SSSavi system and compare it to existing multi-effector targeting systems, establishing its efficacy. Furthermore, by altering the spatial ordering of effector recruitment, across multiple target genes and cell lines, we demonstrate the importance of effector recruitment order for effective transcriptional regulation. Together, this system offers the capacity to explore effector co-recruitment to specific loci to potentially enhance the manipulation of chromatin contexts previously resistant to targeted epigenomic editing.

synthetic biology↗

bioRxiv2022

CRISPRi-based circuits for genetic computation in plants

Synthetic gene circuits can enable new cellular behaviours by integrating multiple input signals into customisable genetic programs. However, gene circuit development in plants has been limited by a lack of orthogonal and modular parts required for their construction. Here, we present a tool-kit of reversible CRISPRi-based gene circuits for use in plants. First, we created a range of engineered repressible promoters of different strengths and used them as integrators for the construction of NOT and NOR gates in Arabidopsis cells. Next, we determined the optimal processing system to express sgRNAs from RNA Pol II promoters to introduce NOR gate programmability and interface it with host regulatory sequences. Finally, we connected multiple NOR gates together in layered arrangements to create OR, NIMPLY, and AND logic functions. Our CRISPRi circuits are orthogonal, compact, reversible, programmable, and modular, providing a new platform for sophisticated and deliberate spatio-temporal control of gene expression in plants.

synthetic biology↗

bioRxiv2022

Single Nucleus RNA Sequencing of Pre-Malignant Liver Reveals Disease-Associated Hepatocyte State with HCC Prognostic Potential

Current approaches to stage chronic liver diseases have limited utility to directly predict liver cancer risk. Here, we employed single nucleus RNA sequencing (snRNA-seq) to characterize the cellular microenvironment of healthy and chronically injured pre-malignant livers using two distinct mouse models. Analysis of 40,748 hepatic nuclei unraveled a previously uncharacterized disease-associated hepatocyte transcriptional state (daHep). These cells were absent in healthy livers, but were increasingly prevalent as chronic liver disease progressed towards hepatocarcinogenesis. Gene expression deconvolution of 1,439 human liver transcriptomes from publicly available datasets revealed that daHep frequencies highly correlate with current histopathological liver disease staging systems. Importantly, we show that high daHep levels precede carcinogenesis in mice and humans and predict a higher risk of hepatocellular carcinoma (HCC) development. This novel transcriptional signature with diagnostic and, more importantly, prognostic significance has the potential to change the way chronic liver disease patients are staged, surveilled and risk-stratified.

cancer biology↗

bioRxiv2022

Systematic evaluation of chromatin immunoprecipitation sequencing to study histone occupancy in dormancy transitions of grapevine buds

1.The regulation of DNA accessibility by histone modification has emerged as a paradigm of developmental and environmental programming. Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a versatile tool widely used to investigate in vivo protein-DNA interaction. The technique has been successfully demonstrated in several plant species and tissues; however, it has remained challenging in woody tissues. Here we developed a ChIP method specifically for mature dormant grapevine buds (Vitis vinifera cv. Cabernet Sauvignon). Each step of the protocol was systematically optimised, including crosslinking, chromatin extraction, sonication, and antibody validation. Analysis of histone H3-enriched DNA was performed to evaluate the success of the protocol and identify occupancy of histone H3 along grapevine bud chromatin. To our best knowledge, this is the first ChIP experiment protocol optimised for grapevine bud system.

plant biology↗

bioRxiv2022

An environmentally-responsive transcriptional state modulates cell identities during root development

Roots are fundamental organs for plant development and response to their environment: they anchor the plant to its growth substrate, uptake nutrients and water vital to plant growth, and can sense and respond to a variety of biotic and abiotic stresses. The architecture of root systems and their growth are known to be strongly affected by the environmental conditions found in the soil. However, the acquisition of cell identities at the root meristem is still mainly viewed as ontogenetically driven, where a small number of stem cells generate all the cell types through stereotyped divisions followed by differentiation, along a simple developmental trajectory. The extent to which environmental cues precisely shape and affect these developmental trajectories remains an open question. We used single-cell RNA-seq, combined with spatial mapping, to deeply explore the trajectories of cell states at the tip of Arabidopsis roots, known to contain multiple developing lineages. Surprisingly, we found that most lineage trajectories exhibit a stereotyped bifid topology with two developmental trajectories rather than one. The formation of one of the trajectories is driven by a strong and specific activation of genes involved in the responses to various environmental stimuli, that affects only of a subset of the cells in multiple cell types simultaneously, revealing another layer of patterning of cell identities in the root that is independent of cell ontogeny. We demonstrate the robustness of this environmentally responsive transcriptional state by showing that it is present in a mutant where cell type identities are greatly perturbed, as well as in different Arabidopsis ecotypes. We also show that the root can adapt the proportion of cells that acquire this particular state in response to environmental signals such as nutrient availability. The discovery of this cell state reveals new layers of cell identity that may underpin the adaptive potential of plant development.

plant biology↗

bioRxiv2022

Retrotransposon instability dominates the acquired mutation landscape of mouse induced pluripotent stem cells

Induced pluripotent stem cells (iPSCs) can in principle differentiate into any cell of the body, and have revolutionized biomedical research and regenerative medicine. Unlike their human counterparts, mouse iPSCs (miPSCs) are reported to silence transposable elements (TEs) and prevent TE-mediated mutagenesis. Here we applied short-read or Oxford Nanopore Technologies (ONT) long-read genome sequencing to 38 bulk miPSC lines reprogrammed from 10 parental cell types, and 18 single-cell miPSC clones. While single nucleotide variants and structural variants restricted to miPSCs were rare, we found 83 de novo TE insertions, including examples intronic to Brca1 and Dmd. LINE-1 (L1) retrotransposons were profoundly hypomethylated in miPSCs, beyond other TEs and the genome overall, and harbored alternative protein-coding gene promoters. Treatment with the L1 inhibitor lamivudine did not hinder reprogramming and efficiently blocked endogenous retrotransposition, as detected by ONT sequencing. These experiments reveal the complete spectrum and potential significance of mutations acquired by miPSCs.

genomics↗

bioRxiv2022

Synthetic memory circuits for programmable cell reconfiguration in plants

Plant biotechnology predominantly relies on a restricted set of genetic parts with limited capability to customize spatiotemporal and conditional expression patterns. Synthetic gene circuits have the ability to integrate multiple customizable input signals through a processing unit constructed from biological parts, to produce a predictable and programmable output. Here, we present a suite of functional recombinase-based gene circuits for use in plants. We first established a range of key gene circuit components compatible with plant cell functionality. We then used these to develop a range of operational logic gates using the identify function (activation) and negation function (repression) in Arabidopsis protoplasts and in vivo, demonstrating their utility for programmable manipulation of transcriptional activity in a complex multicellular organism. Through utilization of genetic recombination these circuits create stable long-term changes in expression and recording of past stimuli. This highly-compact programmable gene circuit platform provides new capabilities for engineering sophisticated transcriptional programs and previously unrealised traits into plants.

synthetic biology↗

bioRxiv2020

TINC - a method to dissect transcriptional complexes at single locus resolution - reveals novel Nanog regulators in mouse embryonic stem cells

Cellular identity is ultimately controlled by transcription factors (TFs), which bind to specific regulatory elements (REs) within the genome to regulate gene expression and cell fate changes. While recent advances in genome-wide epigenetic profiling techniques have significantly increased our understanding of which REs are utilized in which cell type, it remains largely unknown which TFs and cofactors interact with these REs to modulate gene expression. A major hurdle in dissecting the whole composition of a multi-protein complex formed at a specific RE is the shortage of appropriate techniques. We have developed a novel method termed TALE-mediated Isolation of Nuclear Chromatin (TINC). TINC utilizes epitope-tagged TALEs to isolate a specific genomic region from the mammalian genome and includes a nuclei isolation and chromatin enrichment step for increased specificity. Upon cross-linking of the cells and isolation of the chromatin, the target region is purified based on affinity purification of the TALE and associated nucleic acid and protein molecules can be subjected to further analyses. A key TF in the pluripotency network and therefore in embryonic stem cells (ESCs) is NANOG. It is currently not fully understood how Nanog expression is regulated and consequently it remains unclear how the ESC state is maintained. Using TINC we dissected the protein complex formed at the Nanog promoter in mouse ESCs and identified many known and numerous novel factors.

genomics↗

bioRxiv2020

The genomic basis of animal origins: a chromosomal perspective from the sponge Ephydatia muelleri

The genomes of non-bilaterian metazoans are key to understanding the molecular basis of early animal evolution. However, a full comprehension of how animal-specific traits such as nervous systems arose is hindered by the scarcity and fragmented nature of genomes from key taxa, such as Porifera. Ephydatia muelleri is a freshwater sponge found across the northern hemisphere. Here we present its 326 Mb genome, assembled to high contiguity (N50: 9.88 Mb) with 23 chromosomes on 24 scaffolds. Our analyses reveal a metazoan-typical genome architecture, with highly shared synteny across Metazoa, and suggest that adaptation to the extreme temperatures and conditions found in freshwater often involves gene duplication. The pancontinental distribution and ready laboratory culture of E. muelleri make this a highly practical model system, which with RNAseq, DNA methylation and bacterial amplicon data spanning its development and range allows exploration of genomic changes both within sponges and in early animal evolution.

evolutionary biology↗