Literature DB >> 7777567

Adaptive mutations in Escherichia coli as a model for the multiple mutational origins of tumors.

B G Hall1.   

Abstract

The cells in most tumors are found to carry multiple mutations; however, based upon mutation rates determined by fluctuation tests, the frequency of such multiple mutations should be so low that tumors are never detected within human populations. Fluctuation tests, which determine the cell-division-dependent mutation rate per cell generation in growing cells, may not be appropriate for estimating mutation rates in nondividing or very slowly dividing cells. Recent studies of time-dependent, "adaptive" mutations in nondividing populations of microorganisms suggest that similar measurements may be more appropriate to understanding the mutation origins of tumors. Here I use the ebgR and ebgA genes of Escherichia coli to measure adaptive mutation rates where multiple mutations are required for rapid growth. Mutations in either ebgA or ebgR allow very slow growth on lactulose (4-O-beta-D-galactosyl-D-fructose), with doubling times of 3.2 and 17.3 days, respectively. However, when both mutations are present, cells can grow rapidly with doubling times of 2.7 hr. I show that during prolonged (28-day) selection for growth on lactulose, the number of lactulose-utilizing mutants that accumulate is 40,000 times greater than can be accounted for on the basis of mutation rates measured by fluctuation tests, but is entirely consistent with the time-dependent adaptive mutation rates measured under the same conditions of prolonged selection.

Entities:  

Mesh:

Year:  1995        PMID: 7777567      PMCID: PMC41758          DOI: 10.1073/pnas.92.12.5669

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  43 in total

1.  Regulation of newly evolved enzymes. II. The ebg repressor.

Authors:  B G Gall; D L Hartl
Journal:  Genetics       Date:  1975-11       Impact factor: 4.562

Review 2.  Directed mutation: between unicorns and goats.

Authors:  P L Foster
Journal:  J Bacteriol       Date:  1992-03       Impact factor: 3.490

Review 3.  Analysis of cancer incidence data on the basis of multistage and clonal growth models.

Authors:  W D Stein
Journal:  Adv Cancer Res       Date:  1991       Impact factor: 6.242

Review 4.  Selection, adaptation, and bacterial operons.

Authors:  B G Hall
Journal:  Genome       Date:  1989       Impact factor: 2.166

5.  Fluctuation analysis: the probability distribution of the number of mutants under different conditions.

Authors:  F M Stewart; D M Gordon; B R Levin
Journal:  Genetics       Date:  1990-01       Impact factor: 4.562

6.  The origin of mutants.

Authors:  J Cairns; J Overbaugh; S Miller
Journal:  Nature       Date:  1988-09-08       Impact factor: 49.962

7.  Selection-induced mutations occur in yeast.

Authors:  B G Hall
Journal:  Proc Natl Acad Sci U S A       Date:  1992-05-15       Impact factor: 11.205

8.  Relationship between x-ray exposure and malignant transformation in C3H 10T1/2 cells.

Authors:  A R Kennedy; M Fox; G Murphy; J B Little
Journal:  Proc Natl Acad Sci U S A       Date:  1980-12       Impact factor: 11.205

9.  Mutator phenotypes in human colorectal carcinoma cell lines.

Authors:  N P Bhattacharyya; A Skandalis; A Ganesh; J Groden; M Meuth
Journal:  Proc Natl Acad Sci U S A       Date:  1994-07-05       Impact factor: 11.205

10.  Regulation of newly evolved enzymes. I. Selection of a novel lactase regulated by lactose in Escherichia coli.

Authors:  B G Hall; D L Hartl
Journal:  Genetics       Date:  1974-03       Impact factor: 4.562

View more
  6 in total

1.  Spectra of spontaneous growth-dependent and adaptive mutations at ebgR.

Authors:  B G Hall
Journal:  J Bacteriol       Date:  1999-02       Impact factor: 3.490

Review 2.  Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses.

Authors:  H M Davey; D B Kell
Journal:  Microbiol Rev       Date:  1996-12

3.  Adaptive mutagenesis at ebgR is regulated by PhoPQ.

Authors:  B G Hall
Journal:  J Bacteriol       Date:  1998-06       Impact factor: 3.490

4.  Quantum aspects of evolution: a contribution towards evolutionary explorations of genotype networks via quantum walks.

Authors:  Diego Santiago-Alarcon; Horacio Tapia-McClung; Sergio Lerma-Hernández; Salvador E Venegas-Andraca
Journal:  J R Soc Interface       Date:  2020-11-11       Impact factor: 4.118

5.  Promoter-creating mutations in Pseudomonas putida: a model system for the study of mutation in starving bacteria.

Authors:  L Kasak; R Hõrak; M Kivisaar
Journal:  Proc Natl Acad Sci U S A       Date:  1997-04-01       Impact factor: 11.205

6.  Experimental design to evaluate directed adaptive mutation in Mammalian cells.

Authors:  Michael Bordonaro; Christopher R Chiaro; Tobias May
Journal:  JMIR Res Protoc       Date:  2014-12-09
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.