TY - JOUR
T1 - Hub connectivity, neuronal diversity, and gene expression in the Caenorhabditis elegans connectome
AU - Arnatkeviciute, Aurina
AU - Fulcher, Benjamin D.
AU - Pocock, Roger
AU - Fornito, Alex
N1 - Funding Information:
AF was supported by the Australian Research Council http://www.arc.gov.au/ (ID: FT130100589) and the National Health and Medical Research Council https://www.nhmrc.gov.au/ (ID: 3251213). BDF was supported by a National Health and Medical Research Council (https://www.nhmrc.gov.au/) Early Career Fellowship (1089718). RP was supported by Monash University Biomedicine Discovery Fellowship, National Health and Medical Research Council https://www.nhmrc.gov.au/ Project Grant (GNT1105374) and veski innovation fellowship (https://www.veski.org.au/home): VIF 23 to RP. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We thank WormBase and particularly Daniela Raciti for providing valuable information regarding the curation of C. elegans gene expression data and Taci Ali for preliminary data processing.
Publisher Copyright:
© 2018 Arnatkevic̆iūtė et al.
PY - 2018/2
Y1 - 2018/2
N2 - Studies of nervous system connectivity, in a wide variety of species and at different scales of resolution, have identified several highly conserved motifs of network organization. One such motif is a heterogeneous distribution of connectivity across neural elements, such that some elements act as highly connected and functionally important network hubs. These brain network hubs are also densely interconnected, forming a so-called rich club. Recent work in mouse has identified a distinctive transcriptional signature of neural hubs, characterized by tightly coupled expression of oxidative metabolism genes, with similar genes characterizing macroscale inter-modular hub regions of the human cortex. Here, we sought to determine whether hubs of the neuronal C. elegans connectome also show tightly coupled gene expression. Using open data on the chemical and electrical connectivity of 279 C. elegans neurons, and binary gene expression data for each neuron across 948 genes, we computed a correlated gene expression score for each pair of neurons, providing a measure of their gene expression similarity. We demonstrate that connections between hub neurons are the most similar in their gene expression while connections between nonhubs are the least similar. Genes with the greatest contribution to this effect are involved in glutamatergic and cholinergic signaling, and other communication processes. We further show that coupled expression between hub neurons cannot be explained by their neuronal subtype (i.e., sensory, motor, or interneuron), separation distance, chemically secreted neurotransmitter, birth time, pairwise lineage distance, or their topological module affiliation. Instead, this coupling is intrinsically linked to the identity of most hubs as command interneurons, a specific class of interneurons that regulates locomotion. Our results suggest that neural hubs may possess a distinctive transcriptional signature, preserved across scales and species, that is related to the involvement of hubs in regulating the higher-order behaviors of a given organism.
AB - Studies of nervous system connectivity, in a wide variety of species and at different scales of resolution, have identified several highly conserved motifs of network organization. One such motif is a heterogeneous distribution of connectivity across neural elements, such that some elements act as highly connected and functionally important network hubs. These brain network hubs are also densely interconnected, forming a so-called rich club. Recent work in mouse has identified a distinctive transcriptional signature of neural hubs, characterized by tightly coupled expression of oxidative metabolism genes, with similar genes characterizing macroscale inter-modular hub regions of the human cortex. Here, we sought to determine whether hubs of the neuronal C. elegans connectome also show tightly coupled gene expression. Using open data on the chemical and electrical connectivity of 279 C. elegans neurons, and binary gene expression data for each neuron across 948 genes, we computed a correlated gene expression score for each pair of neurons, providing a measure of their gene expression similarity. We demonstrate that connections between hub neurons are the most similar in their gene expression while connections between nonhubs are the least similar. Genes with the greatest contribution to this effect are involved in glutamatergic and cholinergic signaling, and other communication processes. We further show that coupled expression between hub neurons cannot be explained by their neuronal subtype (i.e., sensory, motor, or interneuron), separation distance, chemically secreted neurotransmitter, birth time, pairwise lineage distance, or their topological module affiliation. Instead, this coupling is intrinsically linked to the identity of most hubs as command interneurons, a specific class of interneurons that regulates locomotion. Our results suggest that neural hubs may possess a distinctive transcriptional signature, preserved across scales and species, that is related to the involvement of hubs in regulating the higher-order behaviors of a given organism.
KW - neurons
KW - gene expression
KW - caenorhabditis elegans
KW - motor neurons
KW - interneurons
KW - connectomics
KW - neural networks
KW - synapses
UR - http://www.scopus.com/inward/record.url?scp=85042731077&partnerID=8YFLogxK
U2 - 10.1371/journal.pcbi.1005989
DO - 10.1371/journal.pcbi.1005989
M3 - Article
C2 - 29432412
AN - SCOPUS:85042731077
VL - 14
JO - PLoS Computational Biology
JF - PLoS Computational Biology
SN - 1553-7358
IS - 2
M1 - e1005989
ER -