<i>In vivo</i> quantification of plant starch reserves at micrometer resolution using X‐ray micro<scp>CT</scp> imaging and machine learning

Knipfer, Thorsten; Tixier, Aude; Orozco, Jessica; Reyes, Clarissa; Zwieniecki, Maciej A.; Brodersen, Craig R.; McElrone, Andrew J.

doi:10.1111/nph.15068

Cited by 40 publications

(31 citation statements)

References 48 publications

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“…Therefore, the gaps in knowledge on NSC dynamics in plants could be filled in the future by technological advances, including micro-scale localization of starch and sugar dynamics in parenchyma cells and non-functional xylem sap. A promising progress in this direction has been made by the use X-ray micro-CT in combination with a machine-learning algorithm for in vivo quantification of starch dynamics in stems of grapevine [128].…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

The Possible Role of Non-Structural Carbohydrates in the Regulation of Tree Hydraulics

Tomasella

Petrussa

Petruzzellis

et al. 2019

IJMS

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The xylem is a complex system that includes a network of dead conduits ensuring long-distance water transport in plants. Under ongoing climate changes, xylem embolism is a major and recurrent cause of drought-induced tree mortality. Non-structural carbohydrates (NSC) play key roles in plant responses to drought and frost stress, and several studies putatively suggest their involvement in the regulation of xylem water transport. However, a clear picture on the roles of NSCs in plant hydraulics has not been drawn to date. We summarize the current knowledge on the involvement of NSCs during embolism formation and subsequent hydraulic recovery. Under drought, sugars are generally accumulated in xylem parenchyma and in xylem sap. At drought-relief, xylem functionality is putatively restored in an osmotically driven process involving wood parenchyma, xylem sap and phloem compartments. By analyzing the published data on stem hydraulics and NSC contents under drought/frost stress and subsequent stress relief, we found that embolism build-up positively correlated to stem NSC depletion, and that the magnitude of post-stress hydraulic recovery positively correlated to consumption of soluble sugars. These findings suggest a close relationship between hydraulics and carbohydrate dynamics. We call for more experiments on hydraulic and NSC dynamics in controlled and field conditions.

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Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

The Possible Role of Non-Structural Carbohydrates in the Regulation of Tree Hydraulics

Tomasella

Petrussa

Petruzzellis

et al. 2019

IJMS

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“…Recent work has highlighted the lack of consistency in starch measurement among wet chemistry methods and laboratories . Alternative approaches have been explored including reflectance spectroscopy combined with on‐solid iodine complexation and in vivo X‐ray micro‐computed tomography technology . Chemometrics combined with near‐infrared reflectance spectroscopy (NIRS) has the potential to provide a faster and more reliable approach for quantification of starch concentrations in various tissues …”

Section: Introductionmentioning

confidence: 99%

“…9,10 Alternative approaches have been explored including reflectance spectroscopy combined with on-solid iodine complexation 11 and in vivo X-ray micro-computed tomography technology. 12 Chemometrics combined with near-infrared reflectance spectroscopy (NIRS) has the potential to provide a faster and more reliable approach for quantification of starch concentrations in various tissues. 13,14 NIRS is a powerful technique that has enabled rapid analysis of various compositional parameters in wine grapes, must and grapevine tissues, 13,15,16 grapevine water potential [17][18][19] and starch.…”

Section: Introductionmentioning

confidence: 99%

Prediction of starch reserves in intact and ground grapevine cane wood tissues using near‐infrared reflectance spectroscopy

et al. 2020

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BACKGROUND Near‐infrared reflectance spectroscopy (NIRS) technology can be a powerful analytical technique for the assessment of plant starch, but generally samples need to be freeze‐dried and ground. This study investigated the feasibility of using NIRS technology to quantify starch concentration in ground and intact grapevine cane wood samples (with or without the bark layer). A partial least squares regression was used on the sample spectral data and was compared against starch analysis using a conventional wet chemistry method. RESULTS Accurate calibration models were obtained for the ground cane wood samples (n = 220), one based on 17 factors (R2 = 0.88, root mean square error of validation (RMSEV) of 0.73 mg g−1) and the other based on 10 factors (R2 = 0.85, RMSEV of 0.80 mg g−1). In contrast, the prediction of starch within intact cane wood samples was very low (R2 = 0.19). Removal of the cane bark tissues did not substantially improve the accuracy of the model (R2 = 0.34). Despite these poor correlations and low ratio of prediction to deviation values of 1.08–1.24, the root mean square error of cross‐validation (RMSECV) values were 0.75–0.86 mg g−1, indicating good predictability of the model. CONCLUSIONS As indicated by low RMSECV values, NIRS technology has the potential to monitor grapevine starch reserves in intact cane wood samples. © 2020 Society of Chemical Industry

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“…Recently, micro-CT has been preliminarily introduced to visualize and quantify morphology characteristics of plant organs/tissues, such as xylem (Brodersen et al 2011 ; Knipfer et al 2015 ), root (Cuneo et al 2016 ), leaf (Kaminuma et al 2008 ; Dhondt et al 2010 ), flower and grain (Staedler et al 2018 ). It has been also used to study the root architecture and interaction with soil microorganisms (Verboven et al 2012 ; Mairhofer et al 2013 ; Earles et al 2018 ). Several researches have paid attention to the analysis of water and starch distribution in the stem of woody plants (Mairhofer et al 2013 ).…”

Section: Introductionmentioning

confidence: 99%

3D Visualization and Volume-Based Quantification of Rice Chalkiness In Vivo by Using High Resolution Micro-CT

Xiao

2020

Rice

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Background Rice quality research attracts attention worldwide. Rice chalkiness is one of the key indexes determining rice kernel quality. The traditional rice chalkiness measurement methods only use milled rice as materials and are mainly based on naked-eye observation or area-based two-dimensional (2D) image analysis and the results could not represent the three-dimensional (3D) characteristics of chalkiness in the rice kernel. These methods are neither in vivo thus are unable to analyze living rice seeds for high throughput screening of rice chalkiness phenotype. Results Here, we introduced a novel method for 3D visualization and accurate volume-based quantification of rice chalkiness in vivo by using X-ray microcomputed tomography (micro-CT). This approach not only develops a novel volume-based method to measure the 3D rice chalkiness index, but also provides a high throughput solution for rice chalkiness phenotype analysis by using living rice seeds. Conclusions Our method could be a new powerful tool for rice chalkiness measurement, especially for high throughput chalkiness phenotype screening using living rice seeds. This method could be used in chalkiness phenotype identification and screening, and would greatly promote the basic research in rice chalkiness regulation as well as the quality evaluation in rice production practice.

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In vivo quantification of plant starch reserves at micrometer resolution using X‐ray microCT imaging and machine learning

Cited by 40 publications

References 48 publications

The Possible Role of Non-Structural Carbohydrates in the Regulation of Tree Hydraulics

The Possible Role of Non-Structural Carbohydrates in the Regulation of Tree Hydraulics

Prediction of starch reserves in intact and ground grapevine cane wood tissues using near‐infrared reflectance spectroscopy

3D Visualization and Volume-Based Quantification of Rice Chalkiness In Vivo by Using High Resolution Micro-CT

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