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1.
PLoS Genet ; 11(10): e1005636, 2015 Oct.
Article in English | MEDLINE | ID: mdl-26517555

ABSTRACT

The bacterium Deinococcus radiodurans is one of the most radioresistant organisms known. It is able to reconstruct a functional genome from hundreds of radiation-induced chromosomal fragments. Our work aims to highlight the genes involved in recombination between 438 bp direct repeats separated by intervening sequences of various lengths ranging from 1,479 bp to 10,500 bp to restore a functional tetA gene in the presence or absence of radiation-induced DNA double strand breaks. The frequency of spontaneous deletion events between the chromosomal direct repeats were the same in recA+ and in ΔrecA, ΔrecF, and ΔrecO bacteria, whereas recombination between chromosomal and plasmid DNA was shown to be strictly dependent on the RecA and RecF proteins. The presence of mutations in one of the repeated sequence reduced, in a MutS-dependent manner, the frequency of the deletion events. The distance between the repeats did not influence the frequencies of deletion events in recA+ as well in ΔrecA bacteria. The absence of the UvrD protein stimulated the recombination between the direct repeats whereas the absence of the DdrB protein, previously shown to be involved in DNA double strand break repair through a single strand annealing (SSA) pathway, strongly reduces the frequency of RecA- (and RecO-) independent deletions events. The absence of the DdrB protein also increased the lethal sectoring of cells devoid of RecA or RecO protein. γ-irradiation of recA+ cells increased about 10-fold the frequencies of the deletion events, but at a lesser extend in cells devoid of the DdrB protein. Altogether, our results suggest a major role of single strand annealing in DNA repeat deletion events in bacteria devoid of the RecA protein, and also in recA+ bacteria exposed to ionizing radiation.


Subject(s)
Genome/genetics , Radiation Tolerance/genetics , Rec A Recombinases/genetics , Recombination, Genetic/radiation effects , DNA Breaks, Double-Stranded , DNA Damage , DNA Repair/genetics , Deinococcus/genetics , Deinococcus/radiation effects , Gamma Rays , Genome/radiation effects , Mutation
2.
Bioessays ; 36(1): 84-92, 2014 Jan.
Article in English | MEDLINE | ID: mdl-24242332

ABSTRACT

Mutations in human genes encoding transcription factors are often dominant because one active allele cannot ensure a normal phenotype (haploinsufficiency). In other instances, heterozygous mutations of two genes are required for a phenotype to appear (combined haploinsufficiency). Here, we explore with models (i) the basis of haploinsufficiency and combined haploinsufficiency owing to mutations in transcription activators, and (ii) how the effects of such mutations can be amplified or buffered by subsequent steps in a transcription cascade. We propose that the non-linear (sigmoidal) response of transcription to the concentration of activators can explain haploinsufficiency. We further show that the sigmoidal character of the output of a cascade increases with the number of steps involved, the settings of which will determine the buffering or enhancement of the effects of a decreased concentration of an upstream activator. This exploration provides insights into the bases of compensatory mutations and on interloci interactions underlying oligogenic inheritance patterns.


Subject(s)
Genetic Loci/genetics , Inheritance Patterns/genetics , Mutation/genetics , Transcriptional Activation/genetics , Haploinsufficiency/genetics , Humans , Transcription Factors/genetics
3.
Microbiology (Reading) ; 155(Pt 4): 1360-1375, 2009 Apr.
Article in English | MEDLINE | ID: mdl-19332837

ABSTRACT

Corynebacterium glutamicum is a biotin-auxotrophic bacterium and some strains efficiently produce glutamic acid under biotin-limiting conditions. In an effort to understand C. glutamicum metabolism under biotin limitation, growth of the type strain ATCC 13032 was investigated in batch cultures and a time-course analysis was performed. A transient excretion of organic acids was observed and we focused our attention on lactate synthesis. Lactate synthesis was due to the ldh-encoded l-lactate dehydrogenase (Ldh). Features of Ldh activity and ldh transcription were analysed. The ldh gene was shown to be regulated at the transcriptional level by SugR, a pleiotropic transcriptional repressor also acting on most phosphotransferase system (PTS) genes. Electrophoretic mobility shift assays (EMSAs) and site-directed mutagenesis allowed the identification of the SugR-binding site. Effector studies using EMSAs and analysis of ldh expression in a ptsF mutant revealed fructose 1-phosphate as a highly efficient negative effector of SugR. Fructose 1,6-bisphosphate also affected SugR binding.


Subject(s)
Bacterial Proteins/metabolism , Biotin/metabolism , Corynebacterium glutamicum/growth & development , Gene Expression Regulation, Bacterial , L-Lactate Dehydrogenase/metabolism , Bacterial Proteins/genetics , Base Sequence , Binding Sites , Corynebacterium glutamicum/genetics , Corynebacterium glutamicum/metabolism , Culture Media , Electrophoretic Mobility Shift Assay , L-Lactate Dehydrogenase/genetics , Lactic Acid/metabolism , Molecular Sequence Data , Mutagenesis, Site-Directed , Promoter Regions, Genetic , Time Factors , Transcription, Genetic
4.
Eur J Biochem ; 271(22): 4375-91, 2004 Nov.
Article in English | MEDLINE | ID: mdl-15560779

ABSTRACT

The classical metabolic control theory [Kacser, H. & Burns, J.A. (1973) Symp. Soc. Exp. Biol.27, 65-104; Heinrich, R. & Rapoport, T. (1974) Eur. J. Biochem.42, 89-95.] does not take into account experimental evidence for correlations between enzyme concentrations in the cell. We investigated the implications of two causes of linear correlations: competition between enzymes, which is a mere physical adaptation of the cell to the limitation of resources and space, and regulatory correlations, which result from the existence of regulatory networks. These correlations generate redistribution of enzyme concentrations when the concentration of an enzyme varies; this may dramatically alter the flux and metabolite concentration curves. In particular, negative correlations cause the flux to have a maximum value for a defined distribution of enzyme concentrations. Redistribution coefficients of enzyme concentrations allowed us to calculate the 'combined response coefficient' that quantifies the response of flux or metabolite concentration to a perturbation of enzyme concentration.


Subject(s)
Enzymes/metabolism , Metabolism , Models, Biological , Linear Models , Statistics as Topic
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