Literature DB >> 29719164

Genetically Encoded Biosensors in Plants: Pathways to Discovery.

Ankit Walia1, Rainer Waadt2, Alexander M Jones1.   

Abstract

Genetically encoded biosensors that directly interact with a molecule of interest were first introduced more than 20 years ago with fusion proteins that served as fluorescent indicators for calcium ions. Since then, the technology has matured into a diverse array of biosensors that have been deployed to improve our spatiotemporal understanding of molecules whose dynamics have profound influence on plant physiology and development. In this review, we address several types of biosensors with a focus on genetically encoded calcium indicators, which are now the most diverse and advanced group of biosensors. We then consider the discoveries in plant biology made by using biosensors for calcium, pH, reactive oxygen species, redox conditions, primary metabolites, phytohormones, and nutrients. These discoveries were dependent on the engineering, characterization, and optimization required to develop a successful biosensor; they were also dependent on the methodological developments required to express, detect, and analyze the readout of such biosensors.

Entities:  

Keywords:  FRET; calcium dynamics; cell biology; genetically encoded biosensors; live imaging

Mesh:

Substances:

Year:  2018        PMID: 29719164     DOI: 10.1146/annurev-arplant-042817-040104

Source DB:  PubMed          Journal:  Annu Rev Plant Biol        ISSN: 1543-5008            Impact factor:   26.379


  29 in total

1.  Dual-Reporting Transcriptionally Linked Genetically Encoded Fluorescent Indicators Resolve the Spatiotemporal Coordination of Cytosolic Abscisic Acid and Second Messenger Dynamics in Arabidopsis.

Authors:  Rainer Waadt; Philipp Köster; Zaida Andrés; Christian Waadt; Gabriele Bradamante; Konstantinos Lampou; Jörg Kudla; Karin Schumacher
Journal:  Plant Cell       Date:  2020-05-29       Impact factor: 11.277

2.  FROG/B reporter gives bright insights into redox biology.

Authors:  Ricardo A Wolosiuk
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-29       Impact factor: 11.205

Review 3.  Species-independent analytical tools for next-generation agriculture.

Authors:  Tedrick Thomas Salim Lew; Rajani Sarojam; In-Cheol Jang; Bong Soo Park; Naweed I Naqvi; Min Hao Wong; Gajendra P Singh; Rajeev J Ram; Oded Shoseyov; Kazuki Saito; Nam-Hai Chua; Michael S Strano
Journal:  Nat Plants       Date:  2020-11-30       Impact factor: 15.793

Review 4.  Synthetic Switches and Regulatory Circuits in Plants.

Authors:  Jennifer Andres; Tim Blomeier; Matias D Zurbriggen
Journal:  Plant Physiol       Date:  2019-01-28       Impact factor: 8.340

Review 5.  Nanomaterials for Healthcare Biosensing Applications.

Authors:  Muqsit Pirzada; Zeynep Altintas
Journal:  Sensors (Basel)       Date:  2019-12-02       Impact factor: 3.576

6.  Spatiotemporal Quantification of Cytosolic pH in Arabidopsis Pollen Tubes.

Authors:  Maria Teresa Portes; Daniel S C Damineli; José A Feijó
Journal:  Bio Protoc       Date:  2021-07-20

7.  A Synthetic Oxygen Sensor for Plants Based on Animal Hypoxia Signaling.

Authors:  Sergio Iacopino; Sandro Jurinovich; Lorenzo Cupellini; Luca Piccinini; Francesco Cardarelli; Pierdomenico Perata; Benedetta Mennucci; Beatrice Giuntoli; Francesco Licausi
Journal:  Plant Physiol       Date:  2018-11-20       Impact factor: 8.340

Review 8.  cROStalk for Life: Uncovering ROS Signaling in Plants and Animal Systems, from Gametogenesis to Early Embryonic Development.

Authors:  Valentina Lodde; Piero Morandini; Alex Costa; Irene Murgia; Ignacio Ezquer
Journal:  Genes (Basel)       Date:  2021-04-03       Impact factor: 4.096

Review 9.  What shoots can teach about theories of plant form.

Authors:  Teva Vernoux; Fabrice Besnard; Christophe Godin
Journal:  Nat Plants       Date:  2021-06-07       Impact factor: 15.793

Review 10.  Visualization of in vivo protein-protein interactions in plants.

Authors:  Vivien I Strotmann; Yvonne Stahl
Journal:  J Exp Bot       Date:  2022-06-24       Impact factor: 7.298

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