| Range |
wild type ~0.0022: mutH mutant ~0.32 mutation/hour
|
| Organism |
Bacteria Escherichia coli |
| Reference |
Lydia Robert, Jean Ollion, Jerome Robert, Xiaohu Song, Ivan Matic, and Marina Elez, Mutation dynamics and fitness effects followed in single cells, Science 16 Mar 2018:
Vol. 359, Issue 6381, pp. 1283-1286
DOI: 10.1126/science.aan0797 p.1284 middle column bottom paragraph |
| Primary Source |
[11] Lee H, Popodi E, Tang H, Foster PL. Rate and molecular spectrum of spontaneous mutations in the bacterium Escherichia coli as determined by whole-genome sequencing. Proc Natl Acad Sci U S A. 2012 Oct 9 109(41):E2774-83. doi: 10.1073/pnas.1210309109. [14] Materials and methods and supplementary text link PubMed ID22991466
|
| Method |
P.1283 right column top paragraph: "For real-time detection of mutations in single living cells, [investigators] developed a mutation visualization (MV) experiment. [They] also designed a microfluidic MA (µMA) experiment, which allowed [them] to track fitness in the complete absence of natural selection in a high-throughput fashion during the accumulation of mutations." |
| Comments |
P.1284 middle column bottom paragraph: "Using MV, [investigators] estimated mutation rates for E. coli wild-type (WT) (~0.0022 mutation/hour) and mutH mutant (~0.32 mutation/hour) strains
(primary source 14), which agree with estimations from wholegenome
sequencing of MA [mutation accumulation] lines of WT and mismatch repair–deficient cells (primary source 11)." |
| Entered by |
Uri M |
| ID |
114861 |