ArticleMolecular biology and evolution2012
Transcriptional network structure has little effect on the rate of regulatory evolution in yeast.
Article in Molecular biology and evolution, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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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.
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Who cites it
7 citing papers in PubMed.
- Network Topology Can Explain Differences in Pleiotropy Between Cis- and Trans-regulatory Mutations.Molecular biology and evolution · 2022Article
- Molecular and evolutionary processes generating variation in gene expression.Nature reviews. Genetics · 2021Review
- Mutational Pleiotropy and the Strength of Stabilizing Selection Within and Between Functional Modules of Gene Expression.Genetics · 2018Article
- Structure of the Transcriptional Regulatory Network Correlates with Regulatory Divergence in Drosophila.Molecular biology and evolution · 2017Article
- Article
- Evolution of a cellular immune response in Drosophila: a phenotypic and genomic comparative analysis.Genome biology and evolution · 2014Article
- Allelic imbalance in Drosophila hybrid heads: exons, isoforms, and evolution.Molecular biology and evolution · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Studies in evolutionary developmental biology suggest that the structure of genetic pathways may bias the fixation of natural variation toward particular nodes in these pathways. In an attempt to test this trend genome wide, we integrated several previously published data sets to examine whether the position of genes in the whole-genome transcriptional network of Saccharomyces cerevisiae is associated with the amount of cis-regulatory expression divergence between S. cerevisiae and its sibling species Saccharomyces paradoxus. We find little evidence for an association between connectivity and divergence in the global network that combines data from multiple conditions. However, relationships between connectivity and divergence are apparent in some of the smaller subnetworks. Despite a slight tendency for genes with more transcriptional interactions to show greater divergence, these differences explain no more than a small fraction of variation in evolutionary rates. These results suggest that the systems biology focus on large interactomes may miss some critical details of local interactions. More detailed experimental analysis will be needed to define the genetic pathways that control specific phenotypic traits and quantify the rate of regulatory changes at different points in these pathways.
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Registered trials
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