Evidence map›Paper›PMID 18568430›Full record

ArticleGenetica2009

Evolution of new gene functions: simulation and analysis of the amplification model.

Mats E Pettersson, Song Sun, Dan I Andersson, Otto G Berg

Abstract read
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In one paragraph

Article in Genetica, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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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

4 authors.

Mats E PetterssonDepartment of Molecular Evolution, Evolutionary Biology Centre, Uppsala University, Uppsala, SE-752 36, Sweden. Mats.Pettersson@hgen.slu.se
Song Sun
Dan I Andersson
Otto G Berg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Creation of new genes and functions is a central feature of evolution. Duplication of existing genes has long been assumed to be the source of new genes, but the precise mechanism has remained unclear. One suggestion is that new genes are created via temporary amplifications, which simultaneously increase both the selective advantage of weak, pre-existing secondary functions and the target for optimizing mutations. This paper examines the amplification model by formalizing it into a mathematical framework. This framework is used to perform stochastic (Monte Carlo) simulations. In addition, experimental data from Salmonella typhimurium LT2 are used to support the modelling, by providing estimates for parameter values. The results show that amplification of tandem repeats is likely to contribute to creation of new genes in nature.

Indexed as

Evolution, MolecularGene DuplicationModels, GeneticComputer SimulationGenomic InstabilityMonte Carlo MethodSalmonella typhimurium

Identifiers

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.