Live Imaging of Arabidopsis Axillary Meristems.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2020
Historique:
entrez: 5 12 2019
pubmed: 5 12 2019
medline: 3 2 2021
Statut: ppublish

Résumé

Axillary meristems (AMs) are established postembryonically at the leaf axils and can develop into lateral branches. The initiation of AMs establishes new growth axis and is of primary importance for understanding plant development. Understanding plant development requires live imaging of morphogenesis and gene expression. However, AMs are embedded in the leaf axil, making it challenging to perform live imaging. In this chapter, we describe how to prepare and culture Arabidopsis thaliana leaves in vitro, to perform one-time or time-lapse imaging of AM initiation with a confocal microscope.

Identifiants

pubmed: 31797291
doi: 10.1007/978-1-0716-0183-9_7
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

59-65

Auteurs

Bihai Shi (B)

State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China.
University of Chinese Academy of Sciences, Beijing, China.

Hongli Wang (H)

State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China.
University of Chinese Academy of Sciences, Beijing, China.

Yuling Jiao (Y)

State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China. yljiao@genetics.ac.cn.
University of Chinese Academy of Sciences, Beijing, China. yljiao@genetics.ac.cn.

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Classifications MeSH