Template-dependent RNA replication mechanisms render picornaviruses susceptible to error catastrophe, an overwhelming accumulation of mutations incompatible with viability. Viral RNA recombination, in theory, provides a mechanism for viruses to counteract error catastrophe. We tested this theory by exploiting well-defined mutations in the poliovirus RNA-dependent RNA polymerase (RDRP), namely, a G64S mutation and an L420A mutation. Our data reveal two distinct mechanisms by which picornaviral RDRPs influence error catastrophe: fidelity of RNA synthesis and RNA recombination. A G64S mutation increased the fidelity of the viral polymerase and rendered the virus resistant to ribavirin-induced error catastrophe, but only when RNA recombination was at wild-type levels. An L420A mutation in the viral polymerase inhibited RNA recombination and exacerbated ribavirin-induced error catastrophe. Furthermore, when RNA recombination was substantially reduced by an L420A mutation, a high-fidelity G64S polymerase failed to make the virus resistant to ribavirin. These data indicate that viral RNA recombination is required for poliovirus to evade ribavirin-induced error catastrophe. The conserved nature of L420 within RDRPs suggests that RNA recombination is a common mechanism for picornaviruses to counteract and avoid error catastrophe. Positive-strand RNA viruses produce vast amounts of progeny in very short periods of time via template-dependent RNA replication mechanisms. Template-dependent RNA replication, while efficient, can be disadvantageous due to error-prone viral polymerases. The accumulation of mutations in viral RNA genomes leads to error catastrophe. In this study, we substantiate long-held theories regarding the advantages and disadvantages of asexual and sexual replication strategies among RNA viruses. In particular, we show that picornavirus RNA recombination counteracts the negative consequences of asexual template-dependent RNA replication mechanisms, namely, error catastrophe.
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http://dx.doi.org/10.1128/JVI.00652-19 | DOI Listing |
Phys Rev E
November 2024
Université Grenoble Alpes, CEA List, 38000 Grenoble, France.
Models for viral populations with high replication error rates (such as RNA viruses) rely on the quasispecies concept, in which mutational pressure beyond the so-called "error threshold" leads to a loss of essential genetic information and population collapse, an effect known as the "error catastrophe." We explain how crossing this threshold, as a result of increasing mutation rates, can be understood as a second-order phase transition, even in the presence of lethal mutations. In particular, we show that, in fitness landscapes with a single peak, this collapse is equivalent to a ferroparamagnetic transition, where the back-mutation rate plays the role of the external magnetic field.
View Article and Find Full Text PDFTrends Genet
December 2024
Department of Biology, New York University, New York, NY 10003, USA. Electronic address:
Meiotic cells introduce numerous programmed DNA double-strand breaks (DSBs) into their genome to stimulate crossover recombination. DSB numbers must be high enough to ensure each homologous chromosome pair receives the obligate crossover required for accurate meiotic chromosome segregation. However, every DSB also increases the risk of aberrant or incomplete DNA repair, and thus genome instability.
View Article and Find Full Text PDFPeerJ Comput Sci
September 2024
Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Background: The Automatic Essay Score (AES) prediction system is essential in education applications. The AES system uses various textural and grammatical features to investigate the exact score value for AES. The derived features are processed by various linear regressions and classifiers that require the learning pattern to improve the overall score.
View Article and Find Full Text PDFClin Chim Acta
December 2024
Rare Diseases Department, General Directorate of Health Services, Turkish Ministry of Health, Ankara, Turkey. Electronic address:
Objectives: This study investigates the optimal number of quality control (QC) events per day in two scenarios: high-sensitive troponin, requiring three levels of QC materials, and creatinine, with two levels. The aim is to explore how different QC rules and sigma metric values affect the frequency of QC events, considering both analytical performance and the clinical impact of potential measurement errors as severity of harm.
Methods: Risk-based QC calculations were performed using the QC Constellation tool.
Med Image Anal
February 2025
State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China. Electronic address:
Deep learning shows promise for medical image segmentation but suffers performance declines when applied to diverse healthcare sites due to data discrepancies among the different sites. Translating deep learning models to new clinical environments is challenging, especially when the original source data used for training is unavailable due to privacy restrictions. Source-free domain adaptation (SFDA) aims to adapt models to new unlabeled target domains without requiring access to the original source data.
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