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Single-cell transcriptomics dissecting the development and evolution of nervous system in insects.
Liu, Weiwei; Li, Qiye.
Afiliación
  • Liu W; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China; Yunnan Key Laboratory of Biodiversity Information, Kunming, China. Electronic address: liuweiwei@mail.kiz.ac.cn.
  • Li Q; BGI Research, Shenzhen 518083, China; BGI Research, Wuhan 430074, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China. Electronic address: liqiye@genomics.cn.
Curr Opin Insect Sci ; 63: 101201, 2024 06.
Article en En | MEDLINE | ID: mdl-38608931
ABSTRACT
Insects can display a vast repertoire of complex and adaptive behaviors crucial for survival and reproduction. Yet, how the neural circuits underlying insect behaviors are assembled throughout development and remodeled during evolution remains largely obscure. The advent of single-cell transcriptomics has opened new paths to illuminate these historically intractable questions. Insect behavior is governed by its brain, whose functional complexity is realized through operations across multiple levels, from the molecular and cellular to the circuit and organ. Single-cell transcriptomics enables dissecting brain functions across all these levels and allows tracking regulatory dynamics throughout development and under perturbation. In this review, we mainly focus on the achievements of single-cell transcriptomics in dissecting the molecular and cellular architectures of nervous systems in representative insects, then discuss its applications in tracking the developmental trajectory and functional evolution of insect brains.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Evolución Biológica / Análisis de la Célula Individual / Transcriptoma / Insectos Límite: Animals Idioma: En Revista: Curr Opin Insect Sci Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Evolución Biológica / Análisis de la Célula Individual / Transcriptoma / Insectos Límite: Animals Idioma: En Revista: Curr Opin Insect Sci Año: 2024 Tipo del documento: Article