Evidence map›Paper›PMID 28007979›Full record

ArticleMolecular biology and evolution2017

Secreted Proteins Defy the Expression Level-Evolutionary Rate Anticorrelation.

Felix Feyertag, Patricia M Berninsone, David Alvarez-Ponce

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Correlated Gene Copy Number Changes in a Seminal Fluid Protein Network inbioRxiv : the preprint server for biology · 2025
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  4. Review
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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

3 authors.

Felix FeyertagDepartment of Biology, University of Nevada, Reno, Reno, NV.
Patricia M BerninsoneDepartment of Biology, University of Nevada, Reno, Reno, NV.
David Alvarez-PonceDepartment of Biology, University of Nevada, Reno, Reno, NV.

Funding

Cell Biology of Signaling across MembranesP20GM103554 · NIGMS · UNIVERSITY OF NEVADA RENO · PI VON BARTHELD, CHRISTOPHER S · 2012 to 2016
$8.0M
CELL BIOLOGY OF SIGNALING ACROSS MEMBRANESP20RR024210 · NCRR · UNIVERSITY OF NEVADA RENO · PI VON BARTHELD, CHRISTOPHER S · 2011 to 2011
$2.1M
NCRR NIH HHS P20 RR024210NIGMS NIH HHS P20 GM103554
6 · The paper itself

Abstract

The rates of evolution of the proteins of any organism vary across orders of magnitude. A primary factor influencing rates of protein evolution is expression. A strong negative correlation between expression levels and evolutionary rates (the so-called E-R anticorrelation) has been observed in virtually all studied organisms. This effect is currently attributed to the abundance-dependent fitness costs of misfolding and unspecific protein-protein interactions, among other factors. Secreted proteins are folded in the endoplasmic reticulum, a compartment where chaperones, folding catalysts, and stringent quality control mechanisms promote their correct folding and may reduce the fitness costs of misfolding. In addition, confinement of secreted proteins to the extracellular space may reduce misinteractions and their deleterious effects. We hypothesize that each of these factors (the secretory pathway quality control and extracellular location) may reduce the strength of the E-R anticorrelation. Indeed, here we show that among human proteins that are secreted to the extracellular space, rates of evolution do not correlate with protein abundances. This trend is robust to controlling for several potentially confounding factors and is also observed when analyzing protein abundance data for 6 human tissues. In addition, analysis of mRNA abundance data for 32 human tissues shows that the E-R correlation is always less negative, and sometimes nonsignificant, in secreted proteins. Similar observations were made in Caenorhabditis elegans and in Escherichia coli, and to a lesser extent in Drosophila melanogaster, Saccharomyces cerevisiae and Arabidopsis thaliana. Our observations contribute to understand the causes of the E-R anticorrelation.

Indexed as

Evolution, MolecularModels, GeneticAnimalsBiological EvolutionCaenorhabditis elegansDatabases, ProteinDrosophila melanogasterGene Expression RegulationHumansProtein FoldingProteinsRNA, MessengerSaccharomyces cerevisiaeSecretory PathwaySelection, GeneticProteinsRNA, MessengerdN/dSE–R anticorrelationexpression levelsrates of evolutionsecreted proteins.

Identifiers

PMID28007979
PMCPMC5896516

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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.