ArticleNature2019
Whole-animal connectomes of both Caenorhabditis elegans sexes.
Article in Nature, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 462 papers.
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Who cites it
462 citing papers in PubMed, 964 citations in OpenAlex.
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- Bilateral Neuron Pairs Share Redundant Network Roles Despite Incomplete Connection Symmetry in Caenorhabditis elegans.The European journal of neuroscience · 2026Article
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- Neural sequences underlying directed turning in Caenorhabditis elegans.Nature neuroscience · 2026Article
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402 more citing papers are in PubMed but not listed here.
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Authors and funding
14 authors at 4 institutions in 1 country.
Funding
Abstract
Knowledge of connectivity in the nervous system is essential to understanding its function. Here we describe connectomes for both adult sexes of the nematode Caenorhabditis elegans, an important model organism for neuroscience research. We present quantitative connectivity matrices that encompass all connections from sensory input to end-organ output across the entire animal, information that is necessary to model behaviour. Serial electron microscopy reconstructions that are based on the analysis of both new and previously published electron micrographs update previous results and include data on the male head. The nervous system differs between sexes at multiple levels. Several sex-shared neurons that function in circuits for sexual behaviour are sexually dimorphic in structure and connectivity. Inputs from sex-specific circuitry to central circuitry reveal points at which sexual and non-sexual pathways converge. In sex-shared central pathways, a substantial number of connections differ in strength between the sexes. Quantitative connectomes that include all connections serve as the basis for understanding how complex, adaptive behavior is generated.
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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.