Coevolution of spatial and synaptic distribution of neurons in C elegans

Click For Summary

Discussion Overview

The discussion centers on the coevolution of spatial and synaptic distribution of neurons in C. elegans, focusing on the interpretation of research findings regarding neural network motifs and their evolutionary significance. Participants explore the implications of spatial distribution in the context of neural connectivity and evolutionary pressures.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • Some participants summarize the original article by Milo et al., which posits that certain neural network motifs are significantly overrepresented in C. elegans compared to a random distribution, suggesting evolutionary pressure.
  • Artzy-Randrup et al. challenge this by arguing that the study did not adequately control for a true null hypothesis and failed to account for the spatial distribution of neurons, which could influence network formation.
  • Milo's rebuttal emphasizes that spatial distribution is a crucial factor in understanding the selection processes that lead to the observed overrepresentation of network motifs.
  • One participant expresses a personal inclination towards Milo's perspective, suggesting that understanding spatial distribution enhances insight rather than undermining the study's conclusions.
  • A participant questions whether there is an overlooked aspect regarding the spatial distribution of neurons, hinting at the complexity of the topic.

Areas of Agreement / Disagreement

Participants do not reach a consensus, as there are competing views regarding the significance of spatial distribution in the context of neural network motifs and evolutionary implications.

Contextual Notes

The discussion reflects varying interpretations of the original research, highlighting the need for clarity on assumptions regarding spatial distribution and its role in neural network formation. There are unresolved questions about the implications of these interpretations for understanding evolutionary processes.

Who May Find This Useful

Researchers and students interested in neuroscience, evolutionary biology, and the study of neural networks, particularly in the context of C. elegans.

Pythagorean
Science Advisor
Messages
4,430
Reaction score
327
1) Original Article:
http://www.sciencemag.org/content/298/5594/824.short

2) Comment on Article:
http://www.sciencemag.org/content/305/5687/1107.3.full

3) Rebuttal:
http://www.sciencemag.org/content/305/5687/1107.4.full

Summary of above:

1) Original authors (Milo, et al) create a random distribution of neural network motifs and compare it to the distribution of networks in C. elegans. Any distribution that is significantly over represented compared to the random set is declared significant (result of evolutionary pressure).

2) Artzy-Randrup, et al say 'well, you didn't control for a true null-hypothesis, you didn't factor out spatial distribution. neurons form networks with other neurons that are spatially close.'

3) The rebuttal from Milo is that the spatial distribution of the neurons is a significant aspect of the results of the selection that results in this overrepresentation.

Just curious what the PF Biology expert opinions are. I tend to side with Milo here, but I'm naive. To me, knowing spatial distribution is a priori knowledge, just like any other. If we have a mechanism for WHY a nertwork motif is over-represented (i.e. spatial distribution) that that just gives us more insight, it doesn't negate the study.

What do you think? Is there a spandrelly story to spatial distribution of neurons that I'm not considering?
 
Biology news on Phys.org
The links still appear to be okay. @Pythagorean are there updates that should be here?
 
Wow, reallly going back now. My brain cells have completely turned over since this post, I have no idea of the current state of this research.
 
We'll lock it and note that it lacks current work.
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
12K
  • · Replies 8 ·
Replies
8
Views
4K
  • · Replies 2 ·
Replies
2
Views
4K