2019
DOI: 10.3389/fpls.2019.00638
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Subcellular Phenotyping: Using Proteomics to Quantitatively Link Subcellular Leaf Protein and Organelle Distribution Analyses of Pisum sativum Cultivars

Abstract: Plant phenotyping to date typically comprises morphological and physiological profiling in a high-throughput manner. A powerful method that allows for subcellular characterization of organelle stoichiometric/functional characteristics is still missing. Organelle abundance and crosstalk in cell dynamics and signaling plays an important role for understanding crop growth and stress adaptations. However, microscopy cannot be considered a high-throughput technology. The aim of the present study was to develop an a… Show more

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Cited by 6 publications
(3 citation statements)
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References 49 publications
(73 reference statements)
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“…Chloroplasts from double mutant plants are also bigger and swollen, which was assumed to be due to excessive potassium accumulation (Kunz et al, 2014). Given that the volume of chloroplasts in mesophyll cells is about equal to the volume of the cytosol (Destailleur et al, 2021; Schneider et al, 2019), we wanted to know if these stromal pH and K + concentration variations also affected cytosol pH.…”
Section: Resultsmentioning
confidence: 99%
“…Chloroplasts from double mutant plants are also bigger and swollen, which was assumed to be due to excessive potassium accumulation (Kunz et al, 2014). Given that the volume of chloroplasts in mesophyll cells is about equal to the volume of the cytosol (Destailleur et al, 2021; Schneider et al, 2019), we wanted to know if these stromal pH and K + concentration variations also affected cytosol pH.…”
Section: Resultsmentioning
confidence: 99%
“…Measurement settings: Full scan range 350–1800 m/z resolution 1,20,000 max. 20 MS2 scans (activation type CID), repeat count 1, repeat duration 30 sec, exclusion list size 500, exclusion duration 30 sec, charge state screening enabled with a rejection of unassigned and +1 charge states, minimum signal threshold 1000 61 .…”
Section: Methodsmentioning
confidence: 99%
“…In response, cropPAL was released in 2016; it contains curated subcellular location data for the four major crops species Hordeum vulgare , O. sativa , Triticum aestivum and Z. mays , and its goal is to start filling this gap (Hooper et al , 2016). In recent years, SUBA and cropPAL have been used in cultivar discrimination, engineering salt‐resistant crops, increasing protein content as well as improving yield and market value of grains, legumes, palm, mango and tomato (Bajpai et al , 2018; Lau et al , 2018; Matamoros et al , 2018; Jiang et al , 2019; Schneider et al , 2019; McKenzie et al , 2020). Since the subcellular protein distributions (subcellulomes) are not catalogued for most of these species, the validity of these discoveries remains based on the assumption that we can borrow information from Arabidopsis or the nearest species with available data.…”
Section: Introductionmentioning
confidence: 99%