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The combination of gas-phase fluorophore technology and automation to enable high-throughput analysis of plant respiration

BACKGROUND: Mitochondrial respiration in the dark (R (dark)) is a critical plant physiological process, and hence a reliable, efficient and high-throughput method of measuring variation in rates of R (dark) is essential for agronomic and ecological studies. However, currently methods used to measure...

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Autores principales: Scafaro, Andrew P., Negrini, A. Clarissa A., O’Leary, Brendan, Rashid, F. Azzahra Ahmad, Hayes, Lucy, Fan, Yuzhen, Zhang, You, Chochois, Vincent, Badger, Murray R., Millar, A. Harvey, Atkin, Owen K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5361846/
https://www.ncbi.nlm.nih.gov/pubmed/28344635
http://dx.doi.org/10.1186/s13007-017-0169-3
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author Scafaro, Andrew P.
Negrini, A. Clarissa A.
O’Leary, Brendan
Rashid, F. Azzahra Ahmad
Hayes, Lucy
Fan, Yuzhen
Zhang, You
Chochois, Vincent
Badger, Murray R.
Millar, A. Harvey
Atkin, Owen K.
author_facet Scafaro, Andrew P.
Negrini, A. Clarissa A.
O’Leary, Brendan
Rashid, F. Azzahra Ahmad
Hayes, Lucy
Fan, Yuzhen
Zhang, You
Chochois, Vincent
Badger, Murray R.
Millar, A. Harvey
Atkin, Owen K.
author_sort Scafaro, Andrew P.
collection PubMed
description BACKGROUND: Mitochondrial respiration in the dark (R (dark)) is a critical plant physiological process, and hence a reliable, efficient and high-throughput method of measuring variation in rates of R (dark) is essential for agronomic and ecological studies. However, currently methods used to measure R (dark) in plant tissues are typically low throughput. We assessed a high-throughput automated fluorophore system of detecting multiple O(2) consumption rates. The fluorophore technique was compared with O(2)-electrodes, infrared gas analysers (IRGA), and membrane inlet mass spectrometry, to determine accuracy and speed of detecting respiratory fluxes. RESULTS: The high-throughput fluorophore system provided stable measurements of R (dark) in detached leaf and root tissues over many hours. High-throughput potential was evident in that the fluorophore system was 10 to 26-fold faster per sample measurement than other conventional methods. The versatility of the technique was evident in its enabling: (1) rapid screening of R (dark) in 138 genotypes of wheat; and, (2) quantification of rarely-assessed whole-plant R (dark) through dissection and simultaneous measurements of above- and below-ground organs. DISCUSSION: Variation in absolute R (dark) was observed between techniques, likely due to variation in sample conditions (i.e. liquid vs. gas-phase, open vs. closed systems), indicating that comparisons between studies using different measuring apparatus may not be feasible. However, the high-throughput protocol we present provided similar values of R (dark) to the most commonly used IRGA instrument currently employed by plant scientists. Together with the greater than tenfold increase in sample processing speed, we conclude that the high-throughput protocol enables reliable, stable and reproducible measurements of R (dark) on multiple samples simultaneously, irrespective of plant or tissue type. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13007-017-0169-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-53618462017-03-24 The combination of gas-phase fluorophore technology and automation to enable high-throughput analysis of plant respiration Scafaro, Andrew P. Negrini, A. Clarissa A. O’Leary, Brendan Rashid, F. Azzahra Ahmad Hayes, Lucy Fan, Yuzhen Zhang, You Chochois, Vincent Badger, Murray R. Millar, A. Harvey Atkin, Owen K. Plant Methods Methodology BACKGROUND: Mitochondrial respiration in the dark (R (dark)) is a critical plant physiological process, and hence a reliable, efficient and high-throughput method of measuring variation in rates of R (dark) is essential for agronomic and ecological studies. However, currently methods used to measure R (dark) in plant tissues are typically low throughput. We assessed a high-throughput automated fluorophore system of detecting multiple O(2) consumption rates. The fluorophore technique was compared with O(2)-electrodes, infrared gas analysers (IRGA), and membrane inlet mass spectrometry, to determine accuracy and speed of detecting respiratory fluxes. RESULTS: The high-throughput fluorophore system provided stable measurements of R (dark) in detached leaf and root tissues over many hours. High-throughput potential was evident in that the fluorophore system was 10 to 26-fold faster per sample measurement than other conventional methods. The versatility of the technique was evident in its enabling: (1) rapid screening of R (dark) in 138 genotypes of wheat; and, (2) quantification of rarely-assessed whole-plant R (dark) through dissection and simultaneous measurements of above- and below-ground organs. DISCUSSION: Variation in absolute R (dark) was observed between techniques, likely due to variation in sample conditions (i.e. liquid vs. gas-phase, open vs. closed systems), indicating that comparisons between studies using different measuring apparatus may not be feasible. However, the high-throughput protocol we present provided similar values of R (dark) to the most commonly used IRGA instrument currently employed by plant scientists. Together with the greater than tenfold increase in sample processing speed, we conclude that the high-throughput protocol enables reliable, stable and reproducible measurements of R (dark) on multiple samples simultaneously, irrespective of plant or tissue type. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13007-017-0169-3) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-21 /pmc/articles/PMC5361846/ /pubmed/28344635 http://dx.doi.org/10.1186/s13007-017-0169-3 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Scafaro, Andrew P.
Negrini, A. Clarissa A.
O’Leary, Brendan
Rashid, F. Azzahra Ahmad
Hayes, Lucy
Fan, Yuzhen
Zhang, You
Chochois, Vincent
Badger, Murray R.
Millar, A. Harvey
Atkin, Owen K.
The combination of gas-phase fluorophore technology and automation to enable high-throughput analysis of plant respiration
title The combination of gas-phase fluorophore technology and automation to enable high-throughput analysis of plant respiration
title_full The combination of gas-phase fluorophore technology and automation to enable high-throughput analysis of plant respiration
title_fullStr The combination of gas-phase fluorophore technology and automation to enable high-throughput analysis of plant respiration
title_full_unstemmed The combination of gas-phase fluorophore technology and automation to enable high-throughput analysis of plant respiration
title_short The combination of gas-phase fluorophore technology and automation to enable high-throughput analysis of plant respiration
title_sort combination of gas-phase fluorophore technology and automation to enable high-throughput analysis of plant respiration
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5361846/
https://www.ncbi.nlm.nih.gov/pubmed/28344635
http://dx.doi.org/10.1186/s13007-017-0169-3
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