Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes

IntroductionLight response curves are widely used to quantify phenotypic expression of photosynthesis by measuring a single sample and sequentially altering light intensity within a chamber (sequential method) or by measuring different samples that are each acclimated to a different light level (non...

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Main Authors: Megan Reavis, Larry C. Purcell, Andy Pereira, Kusum Naithani
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1106672/full
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author Megan Reavis
Larry C. Purcell
Andy Pereira
Kusum Naithani
author_facet Megan Reavis
Larry C. Purcell
Andy Pereira
Kusum Naithani
author_sort Megan Reavis
collection DOAJ
description IntroductionLight response curves are widely used to quantify phenotypic expression of photosynthesis by measuring a single sample and sequentially altering light intensity within a chamber (sequential method) or by measuring different samples that are each acclimated to a different light level (non-sequential method). Both methods are often conducted in controlled environments to achieve steady-state results, and neither method involves equilibrating the entire plant to the specific light level. MethodsHere, we compare sequential and non-sequential methods in controlled (greenhouse), semi-controlled (plant grown in growth chamber and acclimated to field conditions 2-3 days before measurements), and field environments. We selected seven diverse rice genotypes (five genotypes from the USDA rice minicore collection: 310588, 310723, 311644, 311677, 311795; and 2 additional genotypes: Nagina 22 and Zhe 733) to understand (1) the limitations of different methods, and (2) phenotypic plasticity of photosynthesis in rice grown under different environments. ResultsOur results show that the non-sequential method was time-efficient and captured more variability of field conditions than the sequential method, but the model parameters were generally similar between two methods except the maximum photosynthesis rate (Amax). Amax was significantly lower across all genotypes under greenhouse conditions compared to the growth chamber and field conditions consistent with prior work, but surprisingly the apparent quantum yield (α) and the mitochondrial respiration (Rd) were generally not different among growing environments or measurement methods. DiscussionOur results suggest that field conditions are best suited to quantify phenotypic differences across different genotypes and nonsequential method was better at capturing the variability in photosynthesis.
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spelling doaj.art-0b0deaa95d2f4cce992dac4fa690524a2023-09-21T14:16:34ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2023-09-011410.3389/fpls.2023.11066721106672Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypesMegan Reavis0Larry C. Purcell1Andy Pereira2Kusum Naithani3Department of Biological Sciences, University of Arkansas, Fayetteville, AR, United StatesDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United StatesDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, United StatesDepartment of Biological Sciences, University of Arkansas, Fayetteville, AR, United StatesIntroductionLight response curves are widely used to quantify phenotypic expression of photosynthesis by measuring a single sample and sequentially altering light intensity within a chamber (sequential method) or by measuring different samples that are each acclimated to a different light level (non-sequential method). Both methods are often conducted in controlled environments to achieve steady-state results, and neither method involves equilibrating the entire plant to the specific light level. MethodsHere, we compare sequential and non-sequential methods in controlled (greenhouse), semi-controlled (plant grown in growth chamber and acclimated to field conditions 2-3 days before measurements), and field environments. We selected seven diverse rice genotypes (five genotypes from the USDA rice minicore collection: 310588, 310723, 311644, 311677, 311795; and 2 additional genotypes: Nagina 22 and Zhe 733) to understand (1) the limitations of different methods, and (2) phenotypic plasticity of photosynthesis in rice grown under different environments. ResultsOur results show that the non-sequential method was time-efficient and captured more variability of field conditions than the sequential method, but the model parameters were generally similar between two methods except the maximum photosynthesis rate (Amax). Amax was significantly lower across all genotypes under greenhouse conditions compared to the growth chamber and field conditions consistent with prior work, but surprisingly the apparent quantum yield (α) and the mitochondrial respiration (Rd) were generally not different among growing environments or measurement methods. DiscussionOur results suggest that field conditions are best suited to quantify phenotypic differences across different genotypes and nonsequential method was better at capturing the variability in photosynthesis.https://www.frontiersin.org/articles/10.3389/fpls.2023.1106672/fullgenotypeslight response curvephenotypic plasticityphenotypingphotosynthesis modelrice
spellingShingle Megan Reavis
Larry C. Purcell
Andy Pereira
Kusum Naithani
Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes
Frontiers in Plant Science
genotypes
light response curve
phenotypic plasticity
phenotyping
photosynthesis model
rice
title Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes
title_full Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes
title_fullStr Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes
title_full_unstemmed Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes
title_short Effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes
title_sort effects of measurement methods and growing conditions on phenotypic expression of photosynthesis in seven diverse rice genotypes
topic genotypes
light response curve
phenotypic plasticity
phenotyping
photosynthesis model
rice
url https://www.frontiersin.org/articles/10.3389/fpls.2023.1106672/full
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