Antiviral error catastrophe

Science ◽  
2020 ◽  
Vol 368 (6490) ◽  
pp. 484.2-484
Author(s):  
Lindsey Pujanandez
Keyword(s):  
Genetics ◽  
2002 ◽  
Vol 161 (4) ◽  
pp. 1363-1371
Author(s):  
Kazuo Negishi ◽  
David Loakes ◽  
Roel M Schaaper

Abstract Deoxyribosyl-dihydropyrimido[4,5-c][1,2]oxazin-7-one (dP) is a potent mutagenic deoxycytidine-derived base analogue capable of pairing with both A and G, thereby causing G · C → A · T and A · T → G · C transition mutations. We have found that the Escherichia coli DNA mismatch-repair system can protect cells against this mutagenic action. At a low dose, dP is much more mutagenic in mismatch-repair-defective mutH, mutL, and mutS strains than in a wild-type strain. At higher doses, the difference between the wild-type and the mutator strains becomes small, indicative of saturation of mismatch repair. Introduction of a plasmid containing the E. coli mutL+ gene significantly reduces dP-induced mutagenesis. Together, the results indicate that the mismatch-repair system can remove dP-induced replication errors, but that its capacity to remove dP-containing mismatches can readily be saturated. When cells are cultured at high dP concentration, mutant frequencies reach exceptionally high levels and viable cell counts are reduced. The observations are consistent with a hypothesis in which dP-induced cell killing and growth impairment result from excess mutations (error catastrophe), as previously observed spontaneously in proofreading-deficient mutD (dnaQ) strains.


2004 ◽  
Vol 40 ◽  
pp. 23 ◽  
Author(s):  
J.M. Pawlotsky ◽  
R. Brillet ◽  
C. Hézode ◽  
D. Dhumeaux

2009 ◽  
Vol 82 (2) ◽  
pp. A54
Author(s):  
María-José Camarasa ◽  
Ana San-Félix ◽  
M. Teresa Peromingo ◽  
Mercedes Dávila ◽  
Ana I. de Avila ◽  
...  

2006 ◽  
Vol 14 (2) ◽  
pp. 157-182 ◽  
Author(s):  
Gabriela Ochoa

The error threshold of replication is an important notion in the quasispecies evolution model; it is a critical mutation rate (error rate) beyond which structures obtained by an evolutionary process are destroyed more frequently than selection can reproduce them. With mutation rates above this critical value, an error catastrophe occurs and the genomic information is irretrievably lost. Therefore, studying the factors that alter this magnitude has important implications in the study of evolution. Here we use a genetic algorithm, instead of the quasispecies model, as the underlying model of evolution, and explore whether the phenomenon of error thresholds is found on finite populations of bit strings evolving on complex landscapes. Our empirical results verify the occurrence of error thresholds in genetic algorithms. In this way, this notion is brought from molecular evolution to evolutionary computation. We also study the effect of modifying the most prominent evolutionary parameters on the magnitude of this critical value, and found that error thresholds depend mainly on the selection pressure and genotype length.


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