Literature DB >> 26440436

Plant-PET Scans: In Vivo Mapping of Xylem and Phloem Functioning.

Michiel Hubeau1, Kathy Steppe2.   

Abstract

Medical imaging techniques are rapidly expanding in the field of plant sciences. Positron emission tomography (PET) is advancing as a powerful functional imaging technique to decipher in vivo the function of xylem water flow (with (15)O or (18)F), phloem sugar flow (with (11)C or (18)F), and the importance of their strong coupling. However, much remains to be learned about how water flow and sugar distribution are coordinated in intact plants, both under present and future climate regimes. We propose to use PET analysis of plants (plant-PET) to visualize and generate these missing data about integrated xylem and phloem transport. These insights are crucial to understanding how a given environment will affect plant physiological processes and growth.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Positron emission tomography (PET); medical imaging; plant physiology; water and sugar flow; xylem and phloem transport; xylem–phloem interaction

Mesh:

Substances:

Year:  2015        PMID: 26440436     DOI: 10.1016/j.tplants.2015.07.008

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  19 in total

1.  Hydrogel-based transparent soils for root phenotyping in vivo.

Authors:  Lin Ma; Yichao Shi; Oskar Siemianowski; Bin Yuan; Timothy K Egner; Seyed Vahid Mirnezami; Kara R Lind; Baskar Ganapathysubramanian; Vincenzo Venditti; Ludovico Cademartiri
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-14       Impact factor: 11.205

2.  Introducing turgor-driven growth dynamics into functional-structural plant models.

Authors:  Jonas R Coussement; Tom De Swaef; Peter Lootens; Isabel Roldán-Ruiz; Kathy Steppe
Journal:  Ann Bot       Date:  2018-04-18       Impact factor: 4.357

3.  Visualization of zinc dynamics in intact plants using positron imaging of commercially available 65Zn.

Authors:  Nobuo Suzui; Yong-Gen Yin; Satomi Ishii; Hitoshi Sekimoto; Naoki Kawachi
Journal:  Plant Methods       Date:  2017-05-18       Impact factor: 4.993

4.  Visualising spatio-temporal distributions of assimilated carbon translocation and release in root systems of leguminous plants.

Authors:  Yong-Gen Yin; Nobuo Suzui; Keisuke Kurita; Yuta Miyoshi; Yusuke Unno; Shu Fujimaki; Takuji Nakamura; Takuro Shinano; Naoki Kawachi
Journal:  Sci Rep       Date:  2020-06-11       Impact factor: 4.379

5.  Guide to Plant-PET Imaging Using 11CO2.

Authors:  Jens Mincke; Jan Courtyn; Christian Vanhove; Stefaan Vandenberghe; Kathy Steppe
Journal:  Front Plant Sci       Date:  2021-06-02       Impact factor: 5.753

6.  TreeWatch.net: A Water and Carbon Monitoring and Modeling Network to Assess Instant Tree Hydraulics and Carbon Status.

Authors:  Kathy Steppe; Jonas S von der Crone; Dirk J W De Pauw
Journal:  Front Plant Sci       Date:  2016-07-05       Impact factor: 5.753

7.  Low Night Temperature Affects the Phloem Ultrastructure of Lateral Branches and Raffinose Family Oligosaccharide (RFO) Accumulation in RFO-Transporting Plant Melon (Cucumismelo L.) during Fruit Expansion.

Authors:  Jinghong Hao; Fengying Gu; Jie Zhu; Shaowei Lu; Yifei Liu; Yunfei Li; Weizhi Chen; Liping Wang; Shuangxi Fan; Cory J Xian
Journal:  PLoS One       Date:  2016-08-08       Impact factor: 3.240

Review 8.  Visualizing chemical functionality in plant cell walls.

Authors:  Yining Zeng; Michael E Himmel; Shi-You Ding
Journal:  Biotechnol Biofuels       Date:  2017-11-30       Impact factor: 6.040

9.  Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography.

Authors:  Aoife Hughes; Karen Askew; Callum P Scotson; Kevin Williams; Colin Sauze; Fiona Corke; John H Doonan; Candida Nibau
Journal:  Plant Methods       Date:  2017-11-01       Impact factor: 4.993

10.  Model-Based Design of Long-Distance Tracer Transport Experiments in Plants.

Authors:  Jonas Bühler; Eric von Lieres; Gregor J Huber
Journal:  Front Plant Sci       Date:  2018-06-07       Impact factor: 5.753

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