Deciphering the cellular heterogeneity of the insect brain with single‐cell RNA sequencing

生物 神经科学 昆虫 转录组 计算生物学 破译 认知科学 基因 生态学 生物信息学 基因表达 遗传学 心理学
作者
Xiaofei Wang,Yifan Zhai,Hao Zheng
出处
期刊:Insect Science [Wiley]
标识
DOI:10.1111/1744-7917.13270
摘要

Abstract Insects show highly complicated adaptive and sophisticated behaviors, including spatial orientation skills, learning ability, and social interaction. These behaviors are controlled by the insect brain, the central part of the nervous system. The tiny insect brain consists of millions of highly differentiated and interconnected cells forming a complex network. Decades of research has gone into an understanding of which parts of the insect brain possess particular behaviors, but exactly how they modulate these functional consequences needs to be clarified. Detailed description of the brain and behavior is required to decipher the complexity of cell types, as well as their connectivity and function. Single‐cell RNA‐sequencing (scRNA‐seq) has emerged recently as a breakthrough technology to understand the transcriptome at cellular resolution. With scRNA‐seq, it is possible to uncover the cellular heterogeneity of brain cells and elucidate their specific functions and state. In this review, we first review the basic structure of insect brains and the links to insect behaviors mainly focusing on learning and memory. Then the scRNA applications on insect brains are introduced by representative studies. Single‐cell RNA‐seq has allowed researchers to classify cell subpopulations within different insect brain regions, pinpoint single‐cell developmental trajectories, and identify gene regulatory networks. These developments empower the advances in neuroscience and shed light on the intricate problems in understanding insect brain functions and behaviors.
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