Ryall, C. | Search bioRxiv

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

MitoPerturb-Seq identifies common and gene-specific single-cell responses to mitochondrial DNA depletion and heteroplasmy

Mitochondria contain their own genome, the mitochondrial DNA (mtDNA), which is under strict control of the cell nucleus. mtDNA occurs in many copies in each cell, and mutations often only affect a proportion of them, giving rise to heteroplasmy. mtDNA copy number and heteroplasmy level together shape the cell- and tissue-specific impact of mtDNA mutations, ultimately giving rise to rare mitochondrial and common neurodegenerative diseases. However, little is known about how copy number and heteroplasmy interact within single cells, and how this is regulated by the nuclear genes and pathways that sense and control them. Here we describe MitoPerturb-Seq for CRISPR/Cas9-based high-throughput single-cell interrogation of the impact of nuclear gene perturbation on mtDNA copy number and heteroplasmy. We screened a panel of nuclear mtDNA maintenance genes in cells with heteroplasmic mtDNA mutations. This revealed both common and perturbation-specific aspects of the integrated stress-response to mtDNA depletion, that were only partially mediated by Atf4, and caused cell-cycle stage-independent slowing of cell proliferation. MitoPerturb-Seq thus provides novel experimental insight into disease-relevant mito-nuclear interactions, ultimately informing development of novel therapies targeting cell- and tissue-specific vulnerabilities to mitochondrial dysfunction.

genomics↗