bioRxiv Science⌕ Search

bioRxiv · 10.1101/2024.11.07.622449

Single-nuclei transcriptomes in the hypothalamus and POA of a highly social cichlid

Abstract

Complex behavioral phenotypes, such as social status, emerge from the genome across biological levels, with many of the fundamental neural mechanisms shared across vertebrates. While various aspects of the brain have been implicated in modulating social behavior, critical regulators include cells of the preoptic area (POA) and hypothalamus, which by applying cellular- resolution transcriptomic approaches allows for greater exploration of cellular dynamics in these cells. Yet, how complex gene networks function between and within cell types to regulate complex social behavior is still poorly understood. Importantly, when considering functionally relevant neuronal classes of genes such as neuropeptides, understanding the inherent complexity that emerges from the interaction of these genes in the transcriptomic neuropeptidome can provide unique insight into how social behavior is regulated. Here, we used single-nucleus RNA-sequencing in the hypothalamus and POA of a highly social cichlid fish, Astatotilapia burtoni, to understand the effect that social status has on cellular-level transcriptomic profiles. Males of this species are well known for their highly plastic phenotypes related to social status, which allows for a hypothesis-driven approach. We demonstrate how social status manifests in changes of gene co-expression networks across neuronal populations and highlight transcriptomic signatures of social dominance when targeting known functional differences among AVP neuronal cell types. We implement a novel approach to relate how differences in social state translate to the integration of the transcriptomic neuropeptidome. Taken together, this research provides insights into how gene expression networks that modulate social behavior, including neuropeptide networks, function at the cellular level. Significance StatementHere, we used single-nucleus RNA-seq in the hypothalamus and POA of Astatotilapia burtoni to understand the effect that social status has on cellular gene expression. We demonstrate how social status manifests, from changes in broader neuronal gene networks to targeted changes between known socially-relevant neurons. For the first time, we assess the entirety of the transcriptomic neuropeptidome to understand the interaction of neuropeptide gene networks with social dominance. These findings provide a valuable resource for future functional work and an analytical framework for comparative studies on the evolution of the neural mechanisms of social behavior. Insights into the transcriptomic networks that modulate social status, specifically with neuropeptides, aid in our understanding of the complexity inherent in social behavior.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Miller-Crews, I., Hofmann, H. A.. 2024-11-07. Single-nuclei transcriptomes in the hypothalamus and POA of a highly social cichlid. https://doi.org/10.1101/2024.11.07.622449

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Same Movements, Different Skills: How Context Shapes Learning in Humans and Neural Networks

What determines whether experiences are integrated into shared representations or split? Motor skill learning offers a revealing test: when two tasks require an identical sequence of movements, both intuition and theory suggest that practice in one should generalize to the other. Yet we find that changing context can make identical movements different skills. In simple recurrent networks trained on the same sequence across contexts, splitting was greatest when strong contextual inputs coincided with a high initial weight scale; neither alone sufficed. Greater representational separation coincided with separate context-specific learning curves. Humans practicing the same finger sequence while alternating between two performance-irrelevant contexts likewise exhibited context-specific curves, rather than the single continuous trajectory observed when practicing in a single context. State-space modeling favored split learning states in humans and very weakly coupled states in the most context-dependent networks. These findings have broader implications for understanding how learning generalizes across contexts.

neuroscience↗

Postpartum resource scarcity reshapes maternal care, offspring prioritization, and the steroid-sensitive medial preoptic area

Parental care requires balancing offspring needs with environmental constraints, yet how resource scarcity alters the organization of maternal responses remains poorly understood. Here, we examined maternal behavior, offspring prioritization, and steroid receptor-associated extracellular matrix organization in postpartum rats exposed to limited bedding and nesting (LBN) or control conditions with ample nesting materials. LBN increased pup-directed and reduced self-directed behaviors but also increased behavioral entropy, a measure of behavioral fragmentation, indicating less predictable caregiving sequences. LBN dams preferentially retrieved male pups first, whereas control dams preferentially retrieved females first. LBN also increased the proportion of pup-investigation time directed toward males compared with controls. In offspring on postnatal day 10, corticosterone was elevated in female but not male LBN pups, a pattern that paralleled the maternal male bias. To identify associated neurobiological changes, we assessed steroid receptors and extracellular matrix organization in the medial preoptic area (mPOA), a key region for maternal behavior. LBN increased numbers of estrogen receptor (ER)- and androgen receptor (AR)-immunoreactive cells, reduced perineuronal net (PNN) abundance, and decreased receptor-positive cell enwrapment. Because PNNs constrain structural plasticity, these findings suggest that the postpartum environment alters the organization of steroid receptor-associated extracellular matrix, potentially modulating experience-dependent plasticity in neurosteroid-sensitive circuits. In sum, LBN increases the levels of maternal engagement while reshaping its temporal organization and allocation, accompanied by selective remodeling of steroid-sensitive preoptic architecture. Therefore, maternal adaptation to adversity may be better understood as changes in caregiving allocation strategies rather than a simple gain or loss of maternal care.

neuroscience↗

The Computational Grammar of Human Behaviour in a Biological Environment

Human behaviour unfolds as an extended stream of spontaneous actions shaped by environmental demands and the agent's goals. The organisation of these actions, situated between setting abstract goals and concrete movement execution, remains poorly characterised. Here, we introduce DynaClade, an unsupervised temporal action segmentation algorithm for human full-body motion capture data, and apply it to freely moving participants navigating ecologically realistic risky foraging environments in virtual reality. DynaClade identifies discrete actions whose kinematic characteristics and spatial distributions correspond to environmental affordances, supporting the validity of the approach. Among these actions, we discovered a hitherto undescribed movement pattern defined by increased body sway without locomotion. Action sequences were highly non-random and showed clear history dependence beyond first-order Markov structure, most of which was explained by a second-order prediction. This higher-order structure was well captured in a hidden Markov model, in which some of the observed actions were associated with more than one latent state. Each of these latent states corresponded to the same action in a distinct action context. These findings suggest that spontaneous human actions are predominantly selected based on the current action and context, rather than following pre-planned or habitually assembled sequences.

neuroscience↗