Literature DB >> 33270188

Chemical Genetics to Uncover Mechanisms Underlying Lipid-Mediated Signaling Events in Plants.

Bibi Rafeiza Khan1, Kent D Chapman2, Elison B Blancaflor3.   

Abstract

Like animals, plants use various lipids as signaling molecules to guide their growth and development. The focus of our work is on the N-acylethanolamine (NAE) group of lipid mediators, which have been shown to play important physiological roles in plants. However, mechanisms by which NAEs modulate plant function remain elusive. Chemical genetics has emerged as a potent tool to elucidate signaling pathways in plants, particularly those orchestrated by plant hormones. Like plant hormones, exogenous application of NAEs elicits distinct plant growth phenotypes that can serve as biological readouts for chemical genetic screens. For example, N-lauroylethanolamide (NAE 12:0) inhibits seedling development in the model plant Arabidopsis thaliana. Thus, a library of small synthetic chemical compounds can be rapidly screened for their ability to reverse the inhibitory effect of NAE 12:0 on seedling development. Chemicals identified through such screens could be potential agonists/antagonists of NAE receptors or signaling pathways and therefore serve as additional tools for understanding NAE function in plants. In this chapter, we describe general protocols for NAE 12:0-based chemical genetic screens in Arabidopsis. Although such screens were designed primarily for NAE 12:0, they could potentially be applied for similar work with other NAE species or plant lipid mediators.

Entities:  

Keywords:  Arabidopsis; Chemical genetics; Fatty acid amide hydrolase; Growth inhibition; Lipids; N-Acylethanolamines; N-Lauroylethanolamide

Year:  2021        PMID: 33270188     DOI: 10.1007/978-1-0716-0954-5_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  SMART v1.0: A Database for Small Molecules with Functional Implications in Plants.

Authors:  Beilei Lei; Minggui Song; Xiyang Li; Xiaoxue Dang; Runwen Qin; Shuai Zhu; Xiaoyan An; Qinchang Liu; Xiaojun Yao; Yanming Nie; Chuang Ma
Journal:  Interdiscip Sci       Date:  2021-10-14       Impact factor: 2.233

  1 in total

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