ReviewSeminars in cell & developmental biology2012
The evolution of gene expression and the transcriptome-phenotype relationship.
Review in Seminars in cell & developmental biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed.
- Molting in Pancrustacea Is Characterized by Both Deeply Conserved and Recently Evolved Gene Modules.Genome biology and evolution · 2026Article
- Article
- Multi-Tissue Omics Analysis Uncovers Translational Regulation Underlying Complex Traits in Pigs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Evolutionary Dynamics of Gene Expression During Thermal Adaptation in Drosophila subobscura.Genome biology and evolution · 2026Article
- Pan-transcriptome analysis of pine wilt disease-resistant and susceptibleFrontiers in genetics · 2026Article
- Optical phenotyping using label-free microscopy and deep learning.Biophotonics discovery · 2025Article
- Single-cell chromatin accessibility profiling reveals regulatory mechanisms and evolution in pig brains.BMC biology · 2025Article
- Neutral transcriptome rewiring promotes quantitative disease resistance evolvability at the species level.The Plant cell · 2025Article
- Quantifying Transcriptome Turnover on Phylogenies by Modeling Gene Expression as a Binary Trait.Molecular biology and evolution · 2025Article
- Basal Xenobot transcriptomics reveals changes and novel control modality in cells freed from organismal influence.Communications biology · 2025Article
- Integrative physiological and transcriptomic analysis provides insights on the molecular basis of ABA-enhanced drought tolerance in pear (Pyrus betulaefolia).BMC plant biology · 2025Article
- Gene expression plasticity in response to rapid and extreme elevation changes in Perdix hodgsoniae (Tibetan Partridge).Ornithological applications · 2025Article
- Phenotypic and Gene Expression Alterations in Aquatic Organisms Exposed to Microplastics.International journal of molecular sciences · 2025Review
- Article
- Phenotype prediction in plants is improved by integrating large-scale transcriptomic datasets.NAR genomics and bioinformatics · 2024Article
- The roles of different gene expression regulators in acoustic variation in the intermediate horseshoe bat revealed by long-read and short-read RNA sequencing data.Current zoology · 2024Article
- Detecting expressed genes in cell populations at the single-cell level with scGeneXpress.Briefings in bioinformatics · 2024Article
- The Domestication of Wild Boar Could Result in a Relaxed Selection for Maintaining Olfactory Capacity.Life (Basel, Switzerland) · 2024Article
- De novo transcriptome assembly database for 100 tissues from each of seven species of domestic herbivore.Scientific data · 2024Article
- Raman spectromics method for fast and label-free genotype screening.Biomedical optics express · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Changes in gene expression underlie the adaptive evolution in many complex phenotypes, and the recent increase in the availability of multi-species comparative transcriptome data has made it possible to scan whole transcriptomes for loci that have experienced adaptive changes in expression. However, despite the increase in data availability, current models of gene expression evolution often do not account for the complexities and inherent noise associated with transcriptome data. Additionally, in contrast to current models of gene sequence evolution, models of transcriptome evolution often lack the sophistication to effectively determine whether transcriptional differences between species or within a clade are the result of neutral or adaptive processes. In this review, we discuss the tools, methods and models that define our current understanding of the relationship between gene expression and complex phenotype evolution. Our goal is to summarize what we know about the evolution of global gene expression patterns underlying complex traits, as well to identify some of the questions that remain to be answered.
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Registered trials
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.