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Not long ago, researchers discovered genetic mutations in bacteria that were frozen in the Yukon thirty thousand years ago.
Among them, Ames test takes a prominent position, which detects the induced mutations in bacteria culture (Maron and Ames 1983; Ames 1984).
The vast majority of mutations in bacteria are deleterious, or quickly lost from the population due to random genetic drift.
Biological plausibility of this is backed by the findings that the 581G single mutant offers resistance in vitro and that similar mutations in bacteria produce resistance to sulfa drugs[14].
The computational tools we have developed should be useful for identifying mutations in Bacteria and Archaea, as long as there is a closely related strain with a complete annotated genome.
Using meta-analysis, we have found that most resistance mutations in bacteria confer a fitness cost.
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According to generally accepted guidelines, the standard three-test battery for the detection of genotoxic compounds consists of: (i) an in vitro test for gene mutation in bacteria; (ii) an in vitro test in mammalian cells with cytogenetic evaluation of chromosomal damage and/or a test that detects gene mutations; (iii) an in vivo test for chromosomal damage using rodent hematopoietic cells.
It was possible that high consumption of antibiotic usage could provide high pressure condition inducing mutation in bacteria.
One possible explanation for low genomic mutations rates in bacteria is that mutator hitchhiking is inhibited in haploid bacterial populations by the associated deleterious load.
Indeed, experiments using bacteria clearly show that environmental shifts can successfully select for constitutively elevated mutation rates in bacteria (mutator strains) (Sniegowski et al. 1997; Giraud et al. 2001), in accordance with theoretical predictions.
Indeed, experiments using bacteria clearly show that environmental shifts could successfully select for constitutively elevated mutation rates in bacteria (mutator strains, see sections below) (Sniegowski et al. 1997; Giraud et al. 2001), in accordance with theoretical predictions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com