Evidence map›Paper›PMID 21911382›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2011

Testing hypotheses on the rate of molecular evolution in relation to gene expression using microRNAs.

Yang Shen, Yang Lv, Lei Huang, Wensheng Liu, Ming Wen, Tian Tang, Rui Zhang, Eric Hungate, Suhua Shi, Chung-I Wu

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Yang ShenState Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen (Zhongshan) University, Guangzhou 510275, China.
Yang Lv
Lei Huang
Wensheng Liu
Ming Wen
Tian Tang
Rui Zhang
Eric Hungate
Suhua Shi
Chung-I Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There exists an inverse relationship between the rate of molecular evolution and the level of gene expression. Among the many explanations, the "toxic-error" hypothesis is a most general one, which posits that processing errors may often be toxic to the cells. However, toxic errors that constrain the evolution of highly expressed genes are often difficult to measure. In this study, we test the toxic-error hypothesis by using microRNA (miRNA) genes because their processing errors can be directly measured by deep sequencing. A miRNA gene consists of a small mature product (≈22 nt long) and a "backbone." Our analysis shows that (i) like the mature miRNA, the backbone is highly conserved; (ii) the rate of sequence evolution in the backbone is negatively correlated with expression; and (iii) although conserved between distantly related species, the error rate in miRNA processing is also negatively correlated with the expression level. The observations suggest that, as a miRNA gene becomes more highly (or more ubiquitously) expressed, its sequence evolves toward a structure that minimizes processing errors.

Indexed as

Evolution, MolecularModels, GeneticAlgorithmsAnimalsBase SequenceComputer SimulationDrosophilaDrosophila melanogasterGene ExpressionGenetic VariationMicroRNAsSequence Homology, Nucleic AcidSpecies SpecificityMicroRNAs

Identifiers

PMID21911382
PMCPMC3179107

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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.