Evidence map›Paper›PMID 8647409›Full record

ArticleGenetics1995

Estimating substitution rates in ribosomal RNA genes.

A Rzhetsky

Abstract readComparative Study
In one paragraph

Article in Genetics, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

27 citing papers in PubMed.

  1. Article
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  12. Covariant Evolutionary Event Analysis for Base Interaction Prediction Using a Relational Database Management System for RNA.Scientific and statistical database management : International Conference, SSDBM ... : proceedings. International Conference on Scientific and Statistical Database Management · 2009
    Article
  13. Identifying coevolving partners from paralogous gene families.Evolutionary bioinformatics online · 2008
    Article
  14. Why should we care about molecular coevolution?Evolutionary bioinformatics online · 2008
    Article
  15. Review
  16. Detecting coevolution in and among protein domains.PLoS computational biology · 2007
    Article
  17. Article
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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

1 author.

A RzhetskyInstitute of Molecular Evolutionary Genetics, Pennsylvania State University, University Park 16802, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A model is introduced describing nucleotide substitution in ribosomal RNA (rRNA) genes. In this model, substitution in the stem and loop regions of rRNA is modeled with 16- and four-state continuous time Markov chains, respectively. The mean substitution rates at nucleotide sites are assumed to follow gamma distributions that are different for the two types of regions. The simplest formulation of the model allows for explicit expressions for transition probabilities of the Markov processes to be found. These expressions were used to analyze several 16S-like rRNA genes from higher eukaryotes with the maximum likelihood method. Although the observed proportion of invariable sites was only slightly higher in the stem regions, the estimated average substitution rates in the stem regions were almost two times as high as in the loop regions. Therefore, the degree of site heterogeneity of substitution rates in the stem regions seems to be higher than in the loop regions of animal 16S-like rRNAs due to presence of a few rapidly evolving sites. The model appears to be helpful in understanding the regularities of nucleotide substitution in rRNAs and probably minimizing errors in recovering phylogeny for distantly related taxa from these genes.

Indexed as

Biological EvolutionModels, GeneticPoint MutationAnimalsArthropodsBase CompositionDNA, RibosomalHominidaeHumansMammalsMarkov ChainsMathematicsNematodaNucleic Acid ConformationRNA, RibosomalRNA, Ribosomal, 16SDNA, RibosomalRNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID8647409
PMCPMC1206772

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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.