Symposium summary: epigenetic inheritance-impact for biology and society 23-25 August 2023, Zürich, Switzerland.

The possibility that acquired traits can be transmitted across generations has been the subject of intense research in the past decades. This biological process is of major interest to many scientists and has profound implications for biology and society but has complex mechanisms and is therefore challenging to study. Because it involves factors independent from the DNA sequence, this form of heredity is classically referred to as epigenetic inheritance. Many studies have examined how life experiences and various environmental factors can cause phenotypes that are heritable and be manifested in subsequent generations. Recognizing the major importance and complexity of this research, the fourth edition of the Epigenetic Inheritance Symposium Zürich brought together experts from diverse disciplines to address current questions in the field of epigenetic inheritance and present recent findings. The symposium had sessions dedicated to epidemiological evidence and animal models, transmission mechanisms, methodologies and the far-reaching impact on society and evolution. This report summarizes the talks of speakers and describes additional activities offered during the symposium including poster sessions and an art competition on the topic of epigenetic inheritance.

A set of hub neurons and non-local connectivity features support global brain dynamics in C. elegans.

The wiring architecture of neuronal networks is assumed to be a strong determinant of their dynamical computations. An ongoing effort in neuroscience is therefore to generate comprehensive synapse-resolution connectomes alongside brain-wide activity maps. However, the structure-function relationship, i.e., how the anatomical connectome and neuronal dynamics relate to each other on a global scale, remains unsolved. Systematically, comparing graph features in the C. elegans connectome with correlations in nervous system-wide neuronal dynamics, we found that few local connectivity motifs and mostly other non-local features such as triplet motifs and input similarities can predict functional relationships between neurons. Surprisingly, quantities such as connection strength and amount of common inputs do not improve these predictions, suggesting that the network's topology is sufficient. We demonstrate that hub neurons in the connectome are key to these relevant graph features. Consistently, inhibition of multiple hub neurons specifically disrupts brain-wide correlations. Thus, we propose that a set of hub neurons and non-local connectivity features provide an anatomical substrate for global brain dynamics.

Imaging the Emergence of Behavior.

In this issue of Cell, Wan et al. (2019) track comprehensively the development of individual neurons, along with their activity, during zebrafish spinal cord development. They find that mostly motor neurons are the founders of initially small neuronal-activity ensembles, coalescing into larger populations establishing the first motor patterns.