ArticlePloS one2017
Connectivity in gene coexpression networks negatively correlates with rates of molecular evolution in flowering plants.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Whole-Genome Duplication Reshapes Adaptation: Autotetraploid Arabidopsis arenosa Leverages its High Genetic Variation to Compensate for Selection Constraints.Molecular biology and evolution · 2025Article
- Co-option of transcription factors drives evolution of quantitative disease resistance against a necrotrophic pathogen.The Plant cell · 2025Article
- Flexibility in Gene Coexpression at Developmental and Evolutionary Timescales.Molecular biology and evolution · 2025Article
- Pleiotropy increases parallel selection signatures during adaptation from standing genetic variation.eLife · 2025Article
- Gene Protein Sequence Evolution Can Predict the Rapid Divergence of Ovariole Numbers in the Drosophila melanogaster Subgroup.Genome biology and evolution · 2024Article
- Transcriptome-wide expression landscape and starch synthesis pathway co-expression network in sorghum.The plant genome · 2024Article
- Co-Expression Networks in Sunflower: Harnessing the Power of Multi-Study Transcriptomic Public Data to Identify and Categorize Candidate Genes for Fungal Resistance.Plants (Basel, Switzerland) · 2023Article
- Weaker selection on genes with treatment-specific expression consistent with a limit on plasticity evolution in Arabidopsis thaliana.Genetics · 2023Article
- Weak gene-gene interaction facilitates the evolution of gene expression plasticity.BMC biology · 2023Article
- The Effect of Developmental Pleiotropy on the Evolution of Insect Immune Genes.Genome biology and evolution · 2023Article
- The ensemble of gene regulatory networks at mutation-selection balance.Journal of the Royal Society, Interface · 2023Article
- Patterns of pan-genome occupancy and gene coexpression under water-deficit in Brachypodium distachyon.Molecular ecology · 2022Article
- Transcription Factors Evolve Faster Than Their Structural Gene Targets in the Flavonoid Pigment Pathway.Molecular biology and evolution · 2022Article
- Pleiotropy facilitates parallel adaptation in sticklebacks.Molecular ecology · 2022Article
- Gene Co-expression Network Analysis.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Evolutionary conservation and divergence of the human brain transcriptome.Genome biology · 2021Article
- Modern Approaches for Transcriptome Analyses in Plants.Advances in experimental medicine and biology · 2021Article
- Comparative Analyses of Gene Co-expression Networks: Implementations and Applications in the Study of Evolution.Frontiers in genetics · 2021Review
- Pleiotropy facilitates local adaptation to distant optima in common ragweed (Ambrosia artemisiifolia).PLoS genetics · 2020Article
- Co-expression clustering across flower development identifies modules for diverse floral forms inPeerJ · 2020Article
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3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene coexpression networks are a useful tool for summarizing transcriptomic data and providing insight into patterns of gene regulation in a variety of species. Though there has been considerable interest in studying the evolution of network topology across species, less attention has been paid to the relationship between network position and patterns of molecular evolution. Here, we generated coexpression networks from publicly available expression data for seven flowering plant taxa (Arabidopsis thaliana, Glycine max, Oryza sativa, Populus spp., Solanum lycopersicum, Vitis spp., and Zea mays) to investigate the relationship between network position and rates of molecular evolution. We found a significant negative correlation between network connectivity and rates of molecular evolution, with more highly connected (i.e., "hub") genes having significantly lower nonsynonymous substitution rates and dN/dS ratios compared to less highly connected (i.e., "peripheral") genes across the taxa surveyed. These findings suggest that more centrally located hub genes are, on average, subject to higher levels of evolutionary constraint than are genes located on the periphery of gene coexpression networks. The consistency of this result across disparate taxa suggests that it holds for flowering plants in general, as opposed to being a species-specific phenomenon.
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