ArticleEndocrinology2014
A mollusk retinoic acid receptor (RAR) ortholog sheds light on the evolution of ligand binding.
Article in Endocrinology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- Mapping molluscan endocrinology: a systematic and critical appraisal.Biological reviews of the Cambridge Philosophical Society · 2026Pooled it
- Regulation of Tyrosinase Gene Expression by Retinoic Acid Pathway in the Pacific OysterInternational journal of molecular sciences · 2022Article
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- From Extrapolation to Precision Chemical Hazard Assessment: The Ecdysone Receptor Case Study.Toxics · 2021Article
- The impact of whole genome duplications on the human gene regulatory networks.PLoS computational biology · 2021Article
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- Molecular Characterization of Retinoic Acid Receptor CgRAR in Pacific Oyster (Frontiers in physiology · 2021Article
- Of Retinoids and Organotins: The Evolution of the Retinoid X Receptor in Metazoa.Biomolecules · 2020Article
- An Orthologue of the Retinoic Acid Receptor (RAR) Is Present in the Ecdysozoa Phylum Priapulida.Genes · 2019Article
- The Effect of Melatonin on Locomotor Behavior and Muscle Physiology in the Sea CucumberFrontiers in physiology · 2019Article
- Article
- The ancestral retinoic acid receptor was a low-affinity sensor triggering neuronal differentiation.Science advances · 2018Article
- Article
- Lineage-specific duplication of amphioxus retinoic acid degrading enzymes (CYP26) resulted in sub-functionalization of patterning and homeostatic roles.BMC evolutionary biology · 2017Article
- Article
- Dynamics of nuclear receptor gene expression during Pacific oyster development.BMC developmental biology · 2016Article
- Evolutionary diversification of retinoic acid receptor ligand-binding pocket structure by molecular tinkering.Royal Society open science · 2016Article
- Evolutionary origins of retinoid active short-chain dehydrogenases/reductases of SDR16C family.Chemico-biological interactions · 2015Article
Corrections and comments
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Authors and funding
14 authors at 6 institutions in 5 countries.
Funding
Abstract
Nuclear receptors are transcription factors that regulate networks of target genes in response to small molecules. There is a strong bias in our knowledge of these receptors because they were mainly characterized in classical model organisms, mostly vertebrates. Therefore, the evolutionary origins of specific ligand-receptor couples still remain elusive. Here we present the identification and characterization of a retinoic acid receptor (RAR) from the mollusk Nucella lapillus (NlRAR). We show that this receptor specifically binds to DNA response elements organized in direct repeats as a heterodimer with retinoid X receptor. Surprisingly, we also find that NlRAR does not bind all-trans retinoic acid or any other retinoid we tested. Furthermore, NlRAR is unable to activate the transcription of reporter genes in response to stimulation by retinoids and to recruit coactivators in the presence of these compounds. Three-dimensional modeling of the ligand-binding domain of NlRAR reveals an overall structure that is similar to vertebrate RARs. However, in the ligand-binding pocket (LBP) of the mollusk receptor, the alteration of several residues interacting with the ligand has apparently led to an overall decrease in the strength of the interaction with the ligand. Accordingly, mutations of NlRAR at key positions within the LBP generate receptors that are responsive to retinoids. Altogether our data suggest that, in mollusks, RAR has lost its affinity for all-trans retinoic acid, highlighting the evolutionary plasticity of its LBP. When put in an evolutionary context, our results reveal new structural and functional features of nuclear receptors validated by millions of years of evolution that were impossible to reveal in model organisms.
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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.