ArticlePLoS genetics2017
Gene co-expression network connectivity is an important determinant of selective constraint.
Article in PLoS genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.
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Who cites it
69 citing papers in PubMed, 137 citations in OpenAlex.
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- Evolutionary rate correlations reveal long-term co-evolutionary interactions inbioRxiv : the preprint server for biology · 2026Article
- Genome-wide identification of eQTL-associated lncRNAs in melon and their role in fruit cracking.Scientific reports · 2026Article
- The Evolutionary Flexibility of the Drosophila Circadian Clock: Network Constraints or Adaptive Freedom?Genome biology and evolution · 2026Article
- Gene expression evolution is predicted by stronger indirect selection at more pleiotropic genes.Evolution letters · 2025Article
- Read mismapping from segmental duplications drives spuriousbioRxiv : the preprint server for biology · 2025Article
- Flexibility in Gene Coexpression at Developmental and Evolutionary Timescales.Molecular biology and evolution · 2025Article
- A Protocol for Weighted Gene Co-expression Network Analysis With Module Preservation and Functional Enrichment Analysis for Tumor and Normal Transcriptomic Data.Bio-protocol · 2025Article
- DNA-damage-associated protein co-expression network in cardiomyocytes informs on tolerance to genetic variation and disease.iScience · 2025Article
- Pleiotropy increases parallel selection signatures during adaptation from standing genetic variation.eLife · 2025Article
- Repeated global adaptation across plant species.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The genetic architecture of repeated local adaptation to climate in distantly related plants.Nature ecology & evolution · 2024Article
- Impact of putatively beneficial genomic loci on gene expression in little brown bats (Evolutionary applications · 2024Article
- Polygenic selection to a changing optimum under self-fertilisation.PLoS genetics · 2024Article
- Transcriptome-wide expression landscape and starch synthesis pathway co-expression network in sorghum.The plant genome · 2024Article
- The quantitative genetics of gene expression in Mimulus guttatus.PLoS genetics · 2024Article
- Predicting evolutionary targets and parameters of gene deletion from expression data.Bioinformatics advances · 2024Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While several studies have investigated general properties of the genetic architecture of natural variation in gene expression, few of these have considered natural, outbreeding populations. In parallel, systems biology has established that a general feature of biological networks is that they are scale-free, rendering them buffered against random mutations. To date, few studies have attempted to examine the relationship between the selective processes acting to maintain natural variation of gene expression and the associated co-expression network structure. Here we utilised RNA-Sequencing to assay gene expression in winter buds undergoing bud flush in a natural population of Populus tremula, an outbreeding forest tree species. We performed expression Quantitative Trait Locus (eQTL) mapping and identified 164,290 significant eQTLs associating 6,241 unique genes (eGenes) with 147,419 unique SNPs (eSNPs). We found approximately four times as many local as distant eQTLs, with local eQTLs having significantly higher effect sizes. eQTLs were primarily located in regulatory regions of genes (UTRs or flanking regions), regardless of whether they were local or distant. We used the gene expression data to infer a co-expression network and investigated the relationship between network topology, the genetic architecture of gene expression and signatures of selection. Within the co-expression network, eGenes were underrepresented in network module cores (hubs) and overrepresented in the periphery of the network, with a negative correlation between eQTL effect size and network connectivity. We additionally found that module core genes have experienced stronger selective constraint on coding and non-coding sequence, with connectivity associated with signatures of selection. Our integrated genetics and genomics results suggest that purifying selection is the primary mechanism underlying the genetic architecture of natural variation in gene expression assayed in flushing leaf buds of P. tremula and that connectivity within the co-expression network is linked to the strength of purifying selection.
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