Evidence map›Paper›PMID 21081923›Full record

ArticleMolecular systems biology2010

Genetic interactions reveal the evolutionary trajectories of duplicate genes.

Benjamin VanderSluis, Jeremy Bellay, Gabriel Musso, Michael Costanzo, Balázs Papp, Franco J Vizeacoumar, Anastasia Baryshnikova, Brenda Andrews, Charles Boone, Chad L Myers

Abstract read
In one paragraph

Article in Molecular systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

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2 more citing papers are in PubMed but not listed here.

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

10 authors.

Benjamin VanderSluisDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55455, USA.
Jeremy Bellay
Gabriel Musso
Michael Costanzo
Balázs Papp
Franco J Vizeacoumar
Anastasia Baryshnikova
Brenda Andrews
Charles Boone
Chad L Myers

Funding

Methods for large-scale analysis of chemical-genetic interactionsR01HG005084 · NHGRI · UNIVERSITY OF MINNESOTA · PI MYERS, CHAD L · 2010 to 2022
$2.9M
CIHR GSP-41567NHGRI NIH HHS 1R01HG005084-01A1NHGRI NIH HHS R01 HG005084
6 · The paper itself

Abstract

The characterization of functional redundancy and divergence between duplicate genes is an important step in understanding the evolution of genetic systems. Large-scale genetic network analysis in Saccharomyces cerevisiae provides a powerful perspective for addressing these questions through quantitative measurements of genetic interactions between pairs of duplicated genes, and more generally, through the study of genome-wide genetic interaction profiles associated with duplicated genes. We show that duplicate genes exhibit fewer genetic interactions than other genes because they tend to buffer one another functionally, whereas observed interactions are non-overlapping and reflect their divergent roles. We also show that duplicate gene pairs are highly imbalanced in their number of genetic interactions with other genes, a pattern that appears to result from asymmetric evolution, such that one duplicate evolves or degrades faster than the other and often becomes functionally or conditionally specialized. The differences in genetic interactions are predictive of differences in several other evolutionary and physiological properties of duplicate pairs.

Indexed as

Evolution, MolecularGene DosageGene Expression Regulation, FungalGenes, DuplicateGenetic VariationBiological EvolutionGene ExpressionGenome, FungalGenome-Wide Association StudyModels, GeneticSaccharomyces cerevisiae

Identifiers

PMID21081923
PMCPMC3010121

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Registered trials

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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.