Literature DB >> 32463450

Compatibility of X-ray computed tomography with plant gene expression, rhizosphere bacterial communities and enzyme activities.

Minh Ganther1, Bunlong Yim2, Zeeshan Ibrahim1, Manuela Desiree Bienert3, Eva Lippold1, Lorrie Maccario4, Søren Johannes Sørensen4, Gerd Patrick Bienert3, Doris Vetterlein1,5, Anna Heintz-Buschart1,6, Evgenia Blagodatskaya1, Kornelia Smalla2, Mika T Tarkka1,6.   

Abstract

Non-invasive X-ray computed tomography (XRCT) is increasingly used in rhizosphere research to visualize development of soil-root interfaces in situ. However, exposing living systems to X-rays can potentially impact their processes and metabolites. In order to evaluate these effects, we assessed the responses of rhizosphere processes 1 and 24 h after a low X-ray exposure (0.81 Gy). Changes in root gene expression patterns occurred 1 h after exposure with down-regulation of cell wall-, lipid metabolism-, and cell stress-related genes, but no differences remained after 24 h. At either time point, XRCT did not affect either root antioxidative enzyme activities or the composition of the rhizosphere bacterial microbiome and microbial growth parameters. The potential activities of leucine aminopeptidase and phosphomonoesterase were lower at 1 h, but did not differ from the control 24 h after exposure. A time delay of 24 h after a low X-ray exposure (0.81 Gy) was sufficient to reverse any effects on the observed rhizosphere systems. Our data suggest that before implementing novel experimental designs involving XRCT, a study on its impact on the investigated processes should be conducted.
© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Bacterial community composition; X-ray computed tomography; extracellular soil enzyme; maize; plant elemental composition; rhizosphere; root gene expression

Mesh:

Year:  2020        PMID: 32463450     DOI: 10.1093/jxb/eraa262

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  1 in total

1.  Microbial Identification, High-Resolution Microscopy and Spectrometry of the Rhizosphere in Its Native Spatial Context.

Authors:  Chaturanga D Bandara; Matthias Schmidt; Yalda Davoudpour; Hryhoriy Stryhanyuk; Hans H Richnow; Niculina Musat
Journal:  Front Plant Sci       Date:  2021-07-07       Impact factor: 5.753

  1 in total

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