ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2015
Molecular clocks and the early evolution of metazoan nervous systems.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Article
- Ediacaran origin and Ediacaran-Cambrian diversification of Metazoa.Science advances · 2024Article
- Essentiality, protein-protein interactions and evolutionary properties are key predictors for identifying cancer-associated genes using machine learning.Scientific reports · 2024Article
- Evolution of behavioural control from chordates to primates.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- The RNA helicase Ddx52 functions as a growth switch in juvenile zebrafish.Development (Cambridge, England) · 2021Article
- The rise and early evolution of animals: where do we stand from a trace-fossil perspective?Interface focus · 2020Review
- Defining Behavior and its Relationship to the Science of Psychology.Integrative psychological & behavioral science · 2020Article
- Resynthesizing behavior through phylogenetic refinement.Attention, perception & psychophysics · 2019Article
- Conserved asymmetry underpins homodimerization of Dicer-associated double-stranded RNA-binding proteins.Nucleic acids research · 2017Article
- Modelling the effects of short and random proto-neural elongations.Journal of the Royal Society, Interface · 2017Article
- Biological function in the twilight zone of sequence conservation.BMC biology · 2017Review
- Dating early animal evolution using phylogenomic data.Scientific reports · 2017Article
- Phylogenetic origins of biological cognition: convergent patterns in the early evolution of learning.Interface focus · 2017Review
- Evolutionary convergence and biologically embodied cognition.Interface focus · 2017Review
- Recurrent DCC gene losses during bird evolution.Scientific reports · 2017Article
- Article
- Meat and Nicotinamide: A Causal Role in Human Evolution, History, and Demographics.International journal of tryptophan research : IJTR · 2017Review
- The animal sensorimotor organization: a challenge for the environmental complexity thesis.Biology & philosophy · 2017Article
- Physiology and Evolution of Voltage-Gated Calcium Channels in Early Diverging Animal Phyla: Cnidaria, Placozoa, Porifera and Ctenophora.Frontiers in physiology · 2016Article
- Early animal evolution and the origins of nervous systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015Review
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1 author.
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Abstract
The timing of early animal evolution remains poorly resolved, yet remains critical for understanding nervous system evolution. Methods for estimating divergence times from sequence data have improved considerably, providing a more refined understanding of key divergences. The best molecular estimates point to the origin of metazoans and bilaterians tens to hundreds of millions of years earlier than their first appearances in the fossil record. Both the molecular and fossil records are compatible, however, with the possibility of tiny, unskeletonized, low energy budget animals during the Proterozoic that had planktonic, benthic, or meiofaunal lifestyles. Such animals would likely have had relatively simple nervous systems equipped primarily to detect food, avoid inhospitable environments and locate mates. The appearance of the first macropredators during the Cambrian would have changed the selective landscape dramatically, likely driving the evolution of complex sense organs, sophisticated sensory processing systems, and diverse effector systems involved in capturing prey and avoiding predation.
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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.