Evidence map›Paper›PMID 10610800›Full record

ReviewMethods (San Diego, Calif.)2000

Determining mutation rates in bacterial populations.

W A Rosche, P L Foster

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 261 papers.

0numbers the graph read from it
0cells of the map it votes in
261citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

261 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Pyocyanin produced byAntimicrobial agents and chemotherapy · 2026
    Article
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  16. Review
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201 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

W A RoscheDepartment of Biological Science, University of Tulsa, 600 South College Avenue, Tulsa, Oklahoma 74104-3126, USA.
P L Foster

Funding

INTERACTIONS AMONG REPLICATION AND MUTATION PROTEINSR01GM054084 · NIGMS · INDIANA UNIVERSITY BLOOMINGTON · PI FOSTER, PATRICIA L. · 1997 to 1999
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NIGMS NIH HHS R01 GM054084
6 · The paper itself

Abstract

When properly determined, spontaneous mutation rates are a more accurate and biologically meaningful reflection of underlying mutagenic mechanisms than are mutant frequencies. Because bacteria grow exponentially and mutations arise stochastically, methods to estimate mutation rates depend on theoretical models that describe the distribution of mutant numbers among parallel cultures, as in the original Luria-Delbr]uck fluctuation analysis. An accurate determination of mutation rate depends on understanding the strengths and limitations of these methods, and how to design fluctuation assays to optimize a given method. In this paper we describe a number of methods to estimate mutation rates, give brief accounts of their derivations, and discuss how they behave under various experimental conditions.

Indexed as

MutationBacteriaMathematics

Identifiers

PMID10610800
PMCPMC2932672

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.