Evidence map›Paper›PMID 22212997›Full record

ArticleJournal of molecular evolution2011

A model of genetic search for beneficial mutations: estimating the constructive capacities of mutagenesis.

Grigory G Ananko

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular evolution, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Grigory G AnankoState Research Center of Virology and Biotechnology Vector, Koltsovo, Novosibirsk Oblast, Russia 630559. anankogg@ngs.ru

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We attempted to answer the following question: What evolutionary conditions are required to generate novel genetic modules? Our broad formulation of the problem allows us to simultaneously consider such issues as the relationship between the stage of "genetic search" and the rate of adaptive evolution; the theoretical limits to the generative capacities of spontaneous mutagenesis; and the correlation between genome organization and evolvability. We show that adaptive evolution is feasible only when the mutation rate is fine-tuned to a specific range of values and the structures of the genome and genes are optimized in a certain way. Our quantitative analysis has demonstrated that the rate of evolution of novelty depends on several parameters, such as genome size, the length of a module, the size of the adjacent nonfunctional DNA spacers, and the mutation rate at various genomic scales. We evaluated the efficiency of some mechanisms that increase evolvability: bias in the spectrum of mutation rates towards small mutations, and the availability and size of nonfunctional DNA spacers. We show that the probability of successful duplication and insertion of a copy of a functional module increases by several orders of magnitude depending on the length of the spacers flanking the module. We infer that the adaptive evolution of multicellular organisms has become feasible because of the abundance of nonfunctional DNA spacers, particularly introns, in the genome. We also discuss possible reasons underlying evolutionary retention of the mechanisms that increase evolvability.

Indexed as

Evolution, MolecularModels, GeneticMutationDNA, IntergenicEscherichia coliGenome SizeHumansIntronsMutation RateSelection, GeneticDNA, Intergenic

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.