Biology subjects

Downes, S.

Publications and source records attributed to Downes, S..

5 recordsLinked to original sources

bioRxiv2024

Identification of a novel resistance gene which provides insight into Vip3Aa mode of action in Helicoverpa armigera

The global reliance on Bacillus thuringiensis (Bt) proteins for controlling lepidopteran pests in cotton, corn, and soybean crops underscores the critical need to understand resistance mechanisms. Vip3Aa, one of the most widely deployed and currently effective Bt proteins in genetically modified crops, plays a pivotal role in pest management. This study identifies the molecular basis of Vip3Aa resistance in Australian Helicoverpa armigera through genetic crosses, and integrated genomic and transcriptomic analyses. We identified a previously uncharacterized gene, LOC110373801 (designated HaVipR1), as a crucial determinant of Vip3Aa resistance in two field-derived resistant lines. Functional validation using CRISPR-Cas9 knockout in susceptible lines confirmed the genes role in conferring resistance. Despite extensive laboratory selection of Vip3Aa-resistant colonies in Lepidoptera, the biochemical mechanisms underlying resistance have remained elusive. Our research demonstrates that HaVipR1-mediated resistance operates independently of known resistance genes, including midgut-specific chitin synthase and the transcription factor SfMyb. The identification of HaVipR1 offers further insights into the Vip3Aa mechanism of action. This discovery is vital for devising strategies to counteract resistance and sustain the efficacy of Bt crops. Future research should focus on elucidating the biochemical pathways involving HaVipR1 and investigating its interactions with other resistance mechanisms. Our findings underscore the utility of analysing field-derived resistant lines in providing biologically relevant insights and stress the necessity for comprehensive management strategies to maintain agricultural productivity. Significance StatementThis is the first identification of a specific gene in Helicoverpa armigera which mediates resistance to the Bacillus thuringiensis (Bt) protein Vip3Aa. We identify that this gene is disrupted in two different ways in separate field-derived resistant lines, one being a large transposable element insertion in the first intron of the HaVipR1 gene, confirmed using long-read sequencing. Disruption of this gene using CRISPR-Cas9 knockout in a susceptible H. armigera line confers Vip3A resistance. The identification of a specific gene is important for molecular monitoring and management of H. armigera as well as other global pests of concern like Spodoptera frugiperda. These findings also offer insights for researchers aiming to understand how Vip3Aa functions, as the action pathway remains unclear.

genomics↗

bioRxiv2023

Neuropathy target esterase activity predicts retinopathy among PNPLA6 disorders

Biallelic pathogenic variants in the PNPLA6 gene cause a broad spectrum of disorders leading to gait disturbance, visual impairment, anterior hypopituitarism, and hair anomalies. PNPLA6 encodes Neuropathy target esterase (NTE), yet the role of NTE dysfunction on affected tissues in the large spectrum of associated disease remains unclear. We present a clinical meta-analysis of a novel cohort of 23 new patients along with 95 reported individuals with PNPLA6 variants that implicate missense variants as a driver of disease pathogenesis. Measuring esterase activity of 46 disease-associated and 20 common variants observed across PNPLA6-associated clinical diagnoses unambiguously reclassified 10 variants as likely pathogenic and 36 variants as pathogenic, establishing a robust functional assay for classifying PNPLA6 variants of unknown significance. Estimating the overall NTE activity of affected individuals revealed a striking inverse relationship between NTE activity and the presence of retinopathy and endocrinopathy. This phenomenon was recaptured in vivo in an allelic mouse series, where a similar NTE threshold for retinopathy exists. Thus, PNPLA6 disorders, previously considered allelic, are a continuous spectrum of pleiotropic phenotypes defined by an NTE genotype:activity:phenotype relationship. This relationship and the generation of a preclinical animal model pave the way for therapeutic trials, using NTE as a biomarker.

neuroscience↗

bioRxiv2022

Resistance bioassays and allele characterisation inform Spodoptera frugiperda (Lepidoptera: Noctuidae) management and introduction pathways in Asia and Australia

The fall armyworm (FAW) Spodoptera frugiperda is present in over 70 countries in Africa, Asia, and Oceania. Its rapid dispersal since 2016 when it was first reported in western Africa, and associated devastation to agricultural productivity, highlight the challenges posed by this pest. Currently, its management largely relies on insecticide sprays and transgenic Bacillus thuringiensis toxins, therefore understanding their responses to these agents and characteristics of any resistance genes enables adaptive strategies. In Australia, S. frugiperda was reported at the end of January 2020 in northern Queensland and by March 2020, also in northern Western Australia. As an urgent first response we undertook bioassays on two Australian populations, one each from these initial points of establishment. To assist with preliminary sensitivity assessment, two endemic noctuid pest species, Helicoverpa armigera and Spodoptera litura, were concurrently screened to obtain larval LC50 estimates against various insecticides. We characterised known resistance alleles from the VGSC, ACE-1, RyR, and ABCC2 genes to compare with published allele frequencies and bioassay responses from native and invasive S. frugiperda populations. An approximately 10x LC50 difference for indoxacarb was detected between Australian populations, which was approximately 28x higher than that reported from an Indian population. Characterisation of ACE-1 and VGSC alleles provided further evidence of multiple introductions in Asia, and multiple pathways involving genetically distinct individuals into Australia. The preliminary bioassay results and resistance allele patterns from invasive S. frugiperda populations suggest multiple introductions have contributed to the pests spread and challenge the axiom of its rapid west-to-east spread.

evolutionary biology↗

bioRxiv2020

Whole genome sequencing of global Spodoptera frugiperda populations: evidence for complex, multiple introductions across the Old World

Native to the Americas, the invasive Spodoptera frugiperda (fall armyworm; FAW) was reported in West Africa in 2016, followed by chronological order of detections across the Old World and the hypothesis of an eastward Asia expansion. We explored population genomic signatures of American and Old World FAW and identified 12 maternal mitochondrial DNA genome lineages across the invasive range, while from 870 high-quality nuclear single nucleotide polymorphic DNA markers five distinct New World population clusters were identified, broadly reflected their native geographical ranges and absence of host-plant preferences. We identified unique admixed Old World populations, and admixed and non-admixed Asian FAW individuals, all of which suggested multiple introductions underpinned the pests global spread. Directional gene flow from the East into eastern Africa was also detected, in contrast to the west-to-east spread hypothesis. Our study demonstrated population genomic approaches via international partnership to address global emerging pest threats and biosecurity challenges.

genomics↗

bioRxiv2016

Phenopolis: an open platform for harmonization and analysis of sequencing and phenotype data

SummaryPhenopolis is an open-source web server which provides an intuitive interface to genetic and phenotypic databases. It integrates analysis tools which include variant filtering and gene prioritisation based on phenotype. The Phenopolis platform will accelerate clinical diagnosis, gene discovery and encourage wider adoption of the Human Phenotype Ontology in the study of rare disease.\n\nAvailability and ImplementationA demo of the website is available at http://phenopolis.github.io (username: demo, password: demo123). If you wish to install a local copy, souce code and installation instruction are available at https://github.com/pontikos/phenopolis. The software is implemented using Python, MongoDB, HTML/Javascript and various bash shell scripts.\n\nContactn.pontikos@ucl.ac.uk\n\nSupplementary informationhttp://phenopolis.github.io

bioinformatics↗