Effect of carbohydrates and night temperature on night respiration in rice

Peraudeau, Sébastien; Lafarge, Tanguy; Roques, Sandrine; Quiñones, Cherryl; Clément‐Vidal, Anne; Ouwerkerk, Pieter B.F.; Rie, Jeroen Van; Fabre, Denis; Jagadish, Krishna S.V.; Dingkuhn, Michaël

doi:10.1093/jxb/erv193

Cited by 60 publications

(39 citation statements)

References 46 publications

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“…These could include (a) the abundance of sugars, organic acids and adenylates (ATP and ADP); (b) abundance of respiratory enzymes with distinct spectral properties; or (c) aspects of mitochondrial mass or lipid composition. Both leaf starch and sugar content are correlated with R dark (Noguchi, ; O'Leary et al, ; Peraudeau et al, ), and they have both been estimated from hyperspectral reflectance within the range reported in this study (Curran, ; Ramirez et al, ). Cytochrome c oxidase (COX) a respiratory protein complex in the mitochondrial respiratory chain also exhibits spectral characteristics (Appaix et al, ; Mason, Nicholls, & Cooper, ).…”

Section: Discussionmentioning

confidence: 59%

Predicting dark respiration rates of wheat leaves from hyperspectral reflectance

Coast

Shah

Ivakov

et al. 2019

Plant Cell & Environment

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Greater availability of leaf dark respiration (Rdark) data could facilitate breeding efforts to raise crop yield and improve global carbon cycle modelling. However, the availability of Rdark data is limited because it is cumbersome, time consuming, or destructive to measure. We report a non‐destructive and high‐throughput method of estimating Rdark from leaf hyperspectral reflectance data that was derived from leaf Rdark measured by a destructive high‐throughput oxygen consumption technique. We generated a large dataset of leaf Rdark for wheat (1380 samples) from 90 genotypes, multiple growth stages, and growth conditions to generate models for Rdark. Leaf Rdark (per unit leaf area, fresh mass, dry mass or nitrogen, N) varied 7‐ to 15‐fold among individual plants, whereas traits known to scale with Rdark, leaf N, and leaf mass per area (LMA) only varied twofold to fivefold. Our models predicted leaf Rdark, N, and LMA with r2 values of 0.50–0.63, 0.91, and 0.75, respectively, and relative bias of 17–18% for Rdark and 7–12% for N and LMA. Our results suggest that hyperspectral model prediction of wheat leaf Rdark is largely independent of leaf N and LMA. Potential drivers of hyperspectral signatures of Rdark are discussed.

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Section: Discussionmentioning

confidence: 59%

Predicting dark respiration rates of wheat leaves from hyperspectral reflectance

Coast

Shah

Ivakov

et al. 2019

Plant Cell & Environment

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“…Robust correlations between carbohydrates and R N have been observed several times previously, following experiments that subjected plants to varying photosynthetic conditions during the preceding light period (Azcon-Bieto et al, 1983;Noguchi, 2005;Florez-Sarasa et al, 2012;Peraudeau et al, 2015). In addition to starch, Arabidopsis plants also accumulate the dicarboxylic acids fumarate and malate during the day (Pracharoenwattana et al, 2010).…”

Section: Correlations Between Carbon Substrates and R Nmentioning

confidence: 74%

Variation in Leaf Respiration Rates at Night Correlates with Carbohydrate and Amino Acid Supply

et al. 2017

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Plant respiration can theoretically be fueled by and dependent upon an array of central metabolism components; however, which ones are responsible for the quantitative variation found in respiratory rates is unknown. Here, large-scale screens revealed 2-fold variation in nighttime leaf respiration rate (R N ) among mature leaves from an Arabidopsis (Arabidopsis thaliana) natural accession collection grown under common favorable conditions. R N variation was mostly maintained in the absence of genetic variation, which emphasized the low heritability of R N and its plasticity toward relatively small environmental differences within the sampling regime. To pursue metabolic explanations for leaf R N variation, parallel metabolite level profiling and assays of total protein and starch were performed. Within an accession, R N correlated strongly with stored carbon substrates, including starch and dicarboxylic acids, as well as sucrose, major amino acids, shikimate, and salicylic acid. Among different accessions, metabolite-R N correlations were maintained with protein, sucrose, and major amino acids but not stored carbon substrates. A complementary screen of the effect of exogenous metabolites and effectors on leaf R N revealed that (1) R N is stimulated by the uncoupler FCCP and high levels of substrates, demonstrating that both adenylate turnover and substrate supply can limit leaf R N , and (2) inorganic nitrogen did not stimulate R N , consistent with limited nighttime nitrogen assimilation. Simultaneous measurements of R N and protein synthesis revealed that these processes were largely uncorrelated in mature leaves. These results indicate that differences in preceding daytime metabolic activities are the major source of variation in mature leaf R N under favorable controlled conditions. Few plant metabolic fluxes are readily accessible to routine measurement. The major exceptions to this are fluxes involving gas exchange, such as respiration and photosynthesis. Measurements of respiratory gas exchange (i.e. mitochondrial oxygen uptake or CO 2 release in the absence of photorespiration) are useful from a metabolic perspective because they can be interpreted in terms of the underlying carbon fluxes and the generation of ATP by oxidative phosphorylation (Sweetlove et al., 2013). The biochemical reactions of respiration that produce CO 2 and lead to oxygen consumption are well understood (Plaxton and Podestá, 2006;Sweetlove et al., 2010;Millar et al., 2011;Tcherkez et al., 2012). The stoichiometries of the reactions and the connections between them are known, which provides us with a metabolic map of respiration that includes glycolysis, the oxidative pentose phosphate pathway, the citric acid cycle, the mitochondrial electron transport chain (mETC), ATP synthase, and several other surrounding reactions. In plants, carbohydrates are the dominant respiratory substrates, whereas lipids are rarely respired (Plaxton and Podestá, 2006). Carbohydrate oxidation proceeds via organic acids, which serve many purposes in plant...

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“…First, night transpiration may lower leaf temperature by evaporative cooling, thereby decreasing carbon losses through dark respiration (42). Night water fluxes may otherwise have beneficial roles in nutrient transport (43) and O 2 supply to the xylem parenchyma (16,44).…”

mentioning

confidence: 99%

Reduced nighttime transpiration is a relevant breeding target for high water-use efficiency in grapevine

Coupel‐Ledru

Lebon

Christophe

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

123

105

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Increasing water scarcity challenges crop sustainability in many regions. As a consequence, the enhancement of transpiration efficiency (TE)-that is, the biomass produced per unit of water transpired-has become crucial in breeding programs. This could be achieved by reducing plant transpiration through a better closure of the stomatal pores at the leaf surface. However, this strategy generally also lowers growth, as stomatal opening is necessary for the capture of atmospheric CO 2 that feeds daytime photosynthesis. Here, we considered the reduction in transpiration rate at night (E n ) as a possible strategy to limit water use without altering growth. For this purpose, we carried out a genetic analysis for E n and TE in grapevine, a major crop in drought-prone areas. Using recently developed phenotyping facilities, potted plants of a cross between Syrah and Grenache cultivars were screened for 2 y under well-watered and moderate soil water deficit scenarios. High genetic variability was found for E n under both scenarios and was primarily associated with residual diffusion through the stomata. Five quantitative trait loci (QTLs) were detected that underlay genetic variability in E n . Interestingly, four of them colocalized with QTLs for TE. Moreover, genotypes with favorable alleles on these common QTLs exhibited reduced E n without altered growth. These results demonstrate the interest of breeding grapevine for lower water loss at night and pave the way to breeding other crops with this underexploited trait for higher TE.night transpiration | transpiration efficiency | growth | stomata | QTL

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Effect of carbohydrates and night temperature on night respiration in rice

Cited by 60 publications

References 46 publications

Predicting dark respiration rates of wheat leaves from hyperspectral reflectance

Predicting dark respiration rates of wheat leaves from hyperspectral reflectance

Variation in Leaf Respiration Rates at Night Correlates with Carbohydrate and Amino Acid Supply

Reduced nighttime transpiration is a relevant breeding target for high water-use efficiency in grapevine

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