A Molecular, Spatial, and Regulatory Atlas of the Hydra vulgaris Nervous System.

Hannah Morris Little, Abby S Primack, Jennifer Tsverov, Susanne Mühlbauer, Ben D Cox, Christina Busse, Sandra Schneid, Amber Louwagie, Jack F Cazet, Charles N David, Jeffrey A Farrell, Celina E Juliano
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Abstract

Hydra vulgaris, a cnidarian with a simple nerve net, is an emerging model for developmental, regenerative, and functional neuroscience. Its genetic tractability and capacity for whole-system imaging make it well suited for studying neuron replacement, regeneration, and neural circuit function. Here, we present the most comprehensive molecular and spatial characterization of the H. vulgaris nervous system to date. Using single-cell RNA sequencing, we identified eight neuron types, each defined by distinct neuropeptide expression, and further resolved these into fifteen transcriptionally distinct subtypes with unique spatial distributions and morphologies. To investigate the gene regulatory networks underlying neuronal differentiation, we applied trajectory inference, identified key transcription factors, and performed ATAC-seq on sorted neurons to map chromatin accessibility. All datasets are available through an interactive, user-friendly web portal to support broad use by the research community. Together, these resources provide a foundation for uncovering molecular mechanisms that govern nervous system development, homeostasis, and regeneration in H. vulgaris.

Abstract Image

Abstract Image

Abstract Image

九头蛇神经系统的分化轨迹揭示了神经元命运的转录调控因子。
小型淡水锥虫Hydra vulgaris使用成年干细胞(间质干细胞)在其一生中不断取代神经元。这一特征,再加上对整个神经系统成像的能力(Badhiwala等人,2021;Dupre&Yuste,2017)和基因敲除技术的可用性(Juliano,Reich等人,2014;Lohmann等人,1999;Vogg等人,2022),使Hydra成为在整个生物体水平上研究神经系统发育和再生的易处理模型。在这项研究中,我们使用单细胞RNA测序和轨迹推断来提供成人神经系统的全面分子描述。这包括迄今为止成年九头蛇神经系统最详细的转录特征。我们鉴定了11种独特的神经元亚型,以及间质干细胞分化为每种亚型时发生的转录变化。为了建立描述九头蛇神经元分化的基因调控网络,我们鉴定了48种在九头蛇神经系统中特异性表达的转录因子,其中包括许多是双侧神经发生的保守调控因子。我们还对分选的神经元进行了ATAC-seq,以揭示神经元特异性基因附近先前未鉴定的假定调控区。最后,我们提供了证据来支持成熟神经元亚型之间存在转分化,并确定了这些途径中以前未知的过渡状态。总之,我们提供了整个成年神经系统的全面转录描述,包括分化和转分化途径,这为理解神经系统再生的机制提供了重大进展。
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