ArticleGenome biology and evolution2014
Conserved temporal patterns of microRNA expression in Drosophila support a developmental hourglass model.
Article in Genome biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07403838 (The Impact of Preoperative Chronic Pain on Postoperative Depressive States in Elderly Patients Undergoing Joint Replacement Surgery), which is not on this map. Cited by 8 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.
The trial behind it
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.
The Impact of Preoperative Chronic Pain on Postoperative Depressive States in Elderly Patients Undergoing Joint Replacement Surgery: A Secondary Analysis Based on Prospective Data
Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- miRNAs of Aedes aegypti (Linnaeus 1762) conserved in six orders of the class Insecta.Scientific reports · 2021Article
- Conserved Patterns in Developmental Processes and Phases, Rather than Genes, Unite the Highly Divergent Bilateria.Life (Basel, Switzerland) · 2020Article
- Developmental Constraints on Genome Evolution in Four Bilaterian Model Species.Genome biology and evolution · 2018Article
- Comparative analysis of miRNA expression during the development of insects of different metamorphosis modes and germ-band types.BMC genomics · 2017Article
- Article
- Pervasive microRNA Duplication in Chelicerates: Insights from the Embryonic microRNA Repertoire of the Spider Parasteatoda tepidariorum.Genome biology and evolution · 2016Article
- Evidence for active maintenance of phylotranscriptomic hourglass patterns in animal and plant embryogenesis.Molecular biology and evolution · 2015Article
- Comparative Transcriptomes and EVO-DEVO Studies Depending on Next Generation Sequencing.Computational and mathematical methods in medicine · 2015Review
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
The spatiotemporal control of gene expression is crucial for the successful completion of animal development. The evolutionary constraints on development are particularly strong for the mid-embryonic stage when body segments are specified, as evidenced by a high degree of morphological and protein-coding gene conservation during this period--a phenomenon known as the developmental hourglass. The discovery of microRNA-mediated gene control revealed an entirely new layer of complexity of the molecular networks that orchestrate development. However, the constraints on microRNA developmental expression and evolution, and the implications for animal evolution are less well understood. To systematically explore the conservation of microRNAs during development, we carried out a genome-wide comparative study of microRNA expression levels throughout the ontogenesis of two divergent fruit flies, Drosophila melanogaster and D. virilis. We show that orthologous microRNAs display highly similar temporal profiles regardless of their mutation rates, suggesting that the timely expression of microRNA genes can be more constrained than their sequence. Furthermore, transitions between key developmental events in the different species are accompanied by conserved shifts in microRNA expression profiles, with the mid-embryonic period between gastrulation and segmentation characterized by the highest similarity of microRNA expression. The conservation of microRNA expression therefore displays an hourglass pattern similar to that observed for protein-coding genes.
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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.