ReviewJournal of experimental zoology. Part B, Molecular and developmental evolution2015
What to compare and how: Comparative transcriptomics for Evo-Devo.
Review in Journal of experimental zoology. Part B, Molecular and developmental evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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.
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Who cites it
30 citing papers in PubMed.
- Topological and variational modularity: A case study using the pectoral girdle across the Chrosomus eos-neogaeus hybridization complex.Anatomical record (Hoboken, N.J. : 2007) · 2026Article
- The Interplay of Ontogeny and Phylogeny at the Transcriptome Level of the Tetrapod Heart.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2025Article
- Comparative transcriptomics reveal contrasting strategies between a fungal plant pathogen and an endophyte during initial host colonization.Microbiology spectrum · 2025Article
- Comparative Transcriptome Reveals Conserved Gene Expression in Reproductive Organs in Solanaceae.International journal of molecular sciences · 2025Article
- Transcriptomic Data Reveal Divergent Paths of Chitinase Evolution Underlying Dietary Convergence in Anteaters and Pangolins.Genome biology and evolution · 2025Article
- Extraordinary variability in gene activation and repression programs during gonadal sex differentiation across vertebrates.Frontiers in cell and developmental biology · 2024Article
- A Phylogenetic Framework to Simulate Synthetic Interspecies RNA-Seq Data.Molecular biology and evolution · 2023Article
- Tissue Specificity of Gene Expression Evolves Across Mammal Species.Journal of computational biology : a journal of computational molecular cell biology · 2022Article
- Rapid Transient Transcriptional Adaptation to Hypergravity in Jurkat T Cells Revealed by Comparative Analysis of Microarray and RNA-Seq Data.International journal of molecular sciences · 2021Article
- Characterization and Comparative Transcriptomic Analysis of Skeletal Muscle in Pekin Duck at Different Growth Stages Using RNA-Seq.Animals : an open access journal from MDPI · 2021Article
- Plant Co-expression Annotation Resource: a web server for identifying targets for genetically modified crop breeding pipelines.BMC bioinformatics · 2021Article
- The Bgee suite: integrated curated expression atlas and comparative transcriptomics in animals.Nucleic acids research · 2021Article
- Hierarchical analysis of ontogenetic time to describe heterochrony and taxonomy of developmental stages.Scientific reports · 2020Article
- Article
- Bioinformatics Resources for Plant Abiotic Stress Responses: State of the Art and Opportunities in the Fast Evolving -Omics Era.Plants (Basel, Switzerland) · 2020Review
- A Logical Model of Homology for Comparative Biology.Systematic biology · 2020Article
- The physiology of movement.Movement ecology · 2020Review
- Comparative transcriptomics sheds light on differential adaptation and species diversification between twoAoB PLANTS · 2019Article
- Towards reconstructing the ancestral brain gene-network regulating caste differentiation in ants.Nature ecology & evolution · 2018Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evolutionary developmental biology has grown historically from the capacity to relate patterns of evolution in anatomy to patterns of evolution of expression of specific genes, whether between very distantly related species, or very closely related species or populations. Scaling up such studies by taking advantage of modern transcriptomics brings promising improvements, allowing us to estimate the overall impact and molecular mechanisms of convergence, constraint or innovation in anatomy and development. But it also presents major challenges, including the computational definitions of anatomical homology and of organ function, the criteria for the comparison of developmental stages, the annotation of transcriptomics data to proper anatomical and developmental terms, and the statistical methods to compare transcriptomic data between species to highlight significant conservation or changes. In this article, we review these challenges, and the ongoing efforts to address them, which are emerging from bioinformatics work on ontologies, evolutionary statistics, and data curation, with a focus on their implementation in the context of the development of our database Bgee (http://bgee.org).
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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.