Next Article in Journal
Complexed Crystal Structure of the Dihydroorotase Domain of Human CAD Protein with the Anticancer Drug 5-Fluorouracil
Previous Article in Journal
Combination Analysis of Ferroptosis and Immune Status Predicts Patients Survival in Breast Invasive Ductal Carcinoma
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Alterations in Carbohydrate Quantities in Freeze-Dried, Relative to Fresh or Frozen Maize Leaf Disks

1
Department of Horticulture, Seed Biology Group, College of Agriculture, Food and Environment, University of Kentucky, 1405 Veterans Drive, Lexington, KY 40546, USA
2
State Key Laboratory of Crop Stress Biology for Arid Areas, Department of Biochemistry and Molecular Biology, College of Life Science, Northwest Agriculture and Forestry University, Yangling, Xianyang 712100, China
3
Department of Plant and Soil Sciences, College of Agriculture, Food and Environment, University of Kentucky, N-222A Ag Science North, Lexington, KY 40546, USA
4
Collaborative Innovation Center of Henan Grain Crops, State Key Laboratory of Wheat and Maize Crop Science, College of Life Science, Henan Agriculture University, Zhengzhou 450002, China
5
The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Agriculture and Food Science, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China
6
College of Agriculture, Al-Qasim Green University, Babylon 00964, Iraq
*
Author to whom correspondence should be addressed.
Biomolecules 2023, 13(1), 148; https://doi.org/10.3390/biom13010148
Submission received: 15 November 2022 / Revised: 27 December 2022 / Accepted: 9 January 2023 / Published: 11 January 2023
(This article belongs to the Section Biomacromolecules: Carbohydrates)

Abstract

:
For various reasons, leaves are occasionally lyophilized prior to storage at −80 °C and preparing extracts. Soluble carbohydrate identity and quantity from maize leaf disks were ascertained in two separate years using anion exchange HPLC with pulsed electrochemical detection. Analyses were made from disks after freezing in liquid nitrogen with or without subsequent lyophilization (both years) or directly after removal from plants with or without lyophilization (only in the second year). By adding the lyophilizing step, galactose content consistently increased and, frequently, so did galactoglycerols. The source of the galactose increase with the added lyophilizing step was not due to metabolizing raffinose, as the raffinose synthase (rafs) null mutant leaves, which do not make that trisaccharide, also had a similar increase in galactose content with lyophilization. Apparently, the ester linkages attaching free fatty acids to galactoglycerolipids of the chloroplast are particularly sensitive to cleavage during lyophilization, resulting in increases in galactoglycerols. Regardless of the galactose source, a systematic error is introduced for carbohydrate (and, most likely, also chloroplast mono- or digalactosyldiacylglycerol) amounts when maize leaf samples are lyophilized prior to extraction. The recognition of lyophilization as a source of galactose increase provides a cautionary note for investigators of soluble carbohydrates.

1. Introduction

Non-reducing sugars, such as trehalose, sucrose, and the raffinose family oligosaccharides (RFOs), accumulate, along with intrinsically disordered proteins (IDPs), prior to seed maturation and desiccation. Such accumulation has been positively and tightly correlated with a successful entry into anhydrobiosis [1,2,3,4]. In plants, these non-reducing sugars and IDPs, namely the Late Embryogenesis Abundant Proteins (LEAPs), are also suggested to protect vegetative plant organs from dehydration stress. They can replace water, serve to maintain the complex molecular structure of lipids and proteins [5,6], and also reduce reactive oxygen species (ROS) concentrations [7,8]. In plants, the LEAPs are thought to act synergistically with specific ratios of non-reducing oligosaccharides to enhance drought and desiccation tolerance in mechanisms that are incompletely understood [9,10,11,12].
Advancing our understanding of carbohydrate status in maize leaves to create resilience to suboptimal water status requires, first and foremost, analyses that represent, as close as possible, actual leaf cell contents at the time of sampling. Literature reports of maize sugar contents are based on either fresh- (e.g., [13,14]) or dry-weight (e.g., [15,16]). The removal of water via lyophilization after freezing the leaf sample in liquid nitrogen is commonly how a dry weight is obtained prior to the extraction of soluble carbohydrates.
In our work extracting carbohydrates from liquid nitrogen frozen or liquid nitrogen frozen and then lyophilized leaf material, we have noted that the recovery of certain carbohydrates differed. Such changes were reported previously for freeze- versus microwave-dried samples [17]. Such alterations have led investigators to suggest that some carbohydrates may be tightly bound to leaf components [18] or that some oligosaccharides are metabolized due to problems maintaining samples completely frozen during lyophilization [19]. We needed to further examine the correlation between how the tissue was treated (after sampling but prior to preparing the extract) and the sugar contents. Using wild type (W22), null segregant (NS), and raffinose synthase (rafs) mutant maize (Zea mays) leaf tissue, we have investigated carbohydrate amounts between fresh-, frozen-, and lyophilized-leaf disks for any discrepancies due to the disk treatment. In this comparison, the carbohydrate identity and amounts in leaves frozen in liquid nitrogen were taken as most representative of the true cellular carbohydrate profiles. These were compared to treatments that included lyophilization with or without prior freezing in liquid nitrogen.

2. Materials and Methods

Plant material: Maize seeds (wild type (WT W22), null segregant (NS W22), or raffinose synthase (rafs) [EC 2.4.1.82; GRMZM2G150906; UFMu-09411] mutant W22) previously acquired from the Maize Genetics Stock Center, Urbana, IL, USA [16,20], were placed on two layers of moist germination blotter (Anchor Paper Company, St. Paul, MN, USA) in germination boxes which were kept at 25 °C in the dark. Following the completion of germination, when coleoptiles were one inch or longer, seedlings were carefully transplanted to 5-gallon pots filled with three parts Promix (Premier Tech., Rivière-du-Loup, Québec, Canada) and one part sterilized, clay field soil. Seedlings were watered into the soil to eliminate air gaps around seedling roots and seeds, and water emitters were placed in each pot. Automatic watering was performed for 10 min every 12 h. Greenhouse settings were 30 °C with 16 h of supplemental light (Corn cob LEDs, ReneSola, 100 W) and 25 °C with 8 h of darkness. Once the third leaf had emerged, 2 mL of Marathon 1% G (granular; Olympic Horticultural Products, Bluffton, SC, USA) was sprinkled on the top of the soil. Fertigation occurred every third day with Peter’s Professional 20:20:20 fertilizer (ICL Specialty Fertilizers–Americas, Summerville, SC, USA). Upon silking, the 9th and 10th leaves formed (from the base of the plant) were sampled from six different plants of each genotype (null segregant (NS) or raffinose synthase (rafs) in year 1 expanded to include WT W22 in year 2; Figure 1).
Harvest, freezing, and freeze-drying: Upon tasseling, pairs of 3.7 cm (dia.; 11.62 cm2) disks were cut from the blades of each leaf of a plant on either side of the main vein 20 cm down from the tip (duplicates; Figure 1). These disks were taken from the 9th and 10th leaf from the same plant (replications) and one disk from the 9th and its replicate disk from the 10th leaf underwent the same treatment. The 9th and 10th leaves are vigorous at tasseling and large enough to allow the acquisition of two circular samples beside each other on either side of the main vein. The main vein is avoided to minimize assimilate. In the first year, the constituted treatments were frozen in liquid nitrogen (LN2; Fz) or frozen in LN2 and then freeze-dried (FzL), and disks of both treatments were kept at –80 °C until processing. In the second year, disks were harvested and immediately ground, and carbohydrates were extracted (processed fresh; Fr) or harvested and immediately freeze-dried (FrL) and then kept at −80 °C until processing. Other disks were frozen in LN2 and then kept at −80 °C until processing (Fz) or frozen in LN2, freeze-dried (FzL), and then kept at −80 °C until processing (Figure 1). Disks were lyophilized by placing them in a 50 mL Falcon tube with the cap removed, using a loosely balled Kimwipe to hold the disk in place; then the tubes were placed in a lyophilizer (Bench Top Model 75035, LabConCo, Kansas City, MO, USA) with a condenser (cold finger, −108 °C), and a vacuum drawn (between 100 and 5 micrometers Hg). Leaf disks were lyophilized until no more ice formed on the cold finger. Once leaf disks were desiccated, the Falcon tubes were retrieved from the lyophilizer, quickly capped, and placed at −80 °C until processing.
Sample processing: Other than the fresh samples in year 2, leaf disks in their separate 50 mL Falcon tubes were retrieved from −80 °C and immediately placed in LN2. Tubes were retrieved from LN2 one at a time, opened, and the disk dropped into a mortar filled with LN2. Disks were ground using a pestle with more LN2 carefully added as it boiled off until the entire disk was pulverized. Ethanol (1 mL 70% EtOH), that is 1 mM with respect to 2-deoxyglucose (2-DOG; internal standard; Sigma-Aldrich, St. Louis, MO, USA), was added to the powder, and a slurry was created as the liquid thawed. A wide-bore pipet was used to transfer this slurry to a 15 mL polypropylene centrifuge tube (Corning Inc., Corning, NY, USA). An additional 1 mL of 70% EtOH without 2-DOG was added to the mortar, and the remaining slurry was ground and transferred to the centrifuge tube. Washing the mortar and pestle in this manner was repeated with 70% EtOH three more times for a total of 5 mL of 70% EtOH. The tubes and contents were centrifuged (13,000× g, 10 min, 4 °C), and the supernatant was transferred to 50 mL Falcon tubes. Water (20 mL) was added to bring the contents to 25 mL, reducing the ethanol content such that the sample would remain frozen in the lyophilizer (to prevent bumping). This tube was placed at −80 °C on a 45 angle (increasing the frozen sample surface area) to rapidly freeze, rather than plunging the tubes in LN2, which had previously occasionally cracked the tube, spilling the contents. Once frozen, the caps were quickly removed from the tubes, and they were placed in the lyophilizer. When required, the vacuum was released, ice was removed from the cold finger and trap, the samples were reintroduced, and the vacuum was reapplied without thawing the sample. This continued until the contents of each tube were dry. The powder was reconstituted with 1 mL of water and kept on ice for 12 h with intermittent vortexing. The liquid was transferred to a microcentrifuge tube, centrifuged (13,000× g, 10 min), and the supernatant was filtered through a 3.0 μm glass fiber prefilter, 0.2 μm Supor filter sample clearance plate (AcroPrep™ Advance Filter Plates for Lysate Clearance, Pall Corporation, Port Washington, NY, USA). The eluate (100 μL) was diluted in 900 μL of water in a vial and introduced into an autosampler.
Carbohydrate analysis: A Dionex HPLC (ICS-6000DC, SP; Dionex/ThermoFisher, Waltham, MA, USA) with pulsed electrochemical detection (PED) was used to run two isocratic elution protocols, one for mono- and di-saccharides (18 mM NaOH) and the second for melibiose, raffinose, and maltose (156 mM NaOH, 2.5 mM sodium acetate; Supplementary Table S1). Dionex PA1 guard and analytical columns were used in tandem to resolve carbohydrates using factory-recommended PED settings for carbohydrates and amino acids. An autosampler (10 °C sample tray; Dionex AS-AP) introduced carbohydrate standards or samples onto the column using a 25 μL sample loop. Each run was coordinated using Chromeleon Software, v. 7.2.9 (Dionex/ThermoFisher). Calibration of elution times and confirmation of the linearity of detector response over a 10-fold carbohydrate concentration was performed using three different standard concentrations while forcing the calibration line through zero (Chromeleon). Upon reintegration of elution times, baselines, and peak identities (Chromeleon; Supplementary Table S2), the spreadsheets were exported to Excel. Carbohydrate quantities were adjusted for 2-DOG recovery (internal standard) for sample loop size and dilution.
Unknown identification: There were two unknown peaks that tended to vary depending on leaf disk lyophilization. Three samples, varying in the amount of these unknowns in traces from the Dionex HPLC (Supplementary Figure S1A–C), were diluted in 80% acetonitrile, 20% water, and 0.1% formic acid, and they were analyzed by hydrophilic interaction chromatography (HILIC) on a Waters Acquity UPLC (Waters Corporation, Milford, MA, USA) coupled to a Synapt G2 Q-ToF mass spectrometer (Waters Corp.). Chromatographic separation was obtained using a Waters BEH Amide UPLC column (1.7 mm, 2.1 mm × 150 mm) at 30 °C and a custom elution protocol (Supplementary Table S3) with elution times provided in Supplementary Table S4. The high-resolution mass spectrometer was operated in negative ion electrospray mode and scanned from 50 to 1000 Da in 0.3 s. Leucine enkephalin was used to provide a lock mass (m/z 554.2615).
By comparing the areas of peaks across the three different MS chromatograms, two peaks of interest were identified (Supplementary Figures S2 and S3) as possible unknowns identified in the Dionex system (Supplementary Figure S1). The first peak was at a retention time of 3.70 min with a [M–H] ion mass of 253.092, and the second peak was at a retention time of 5.86 min with a [M–H] ion mass of 415.146 (Supplementary Figures S4 and S5, respectively). Elemental composition searches from the accurate masses were performed with the most probable formula fits producing C9H18O8 and C15H28O13, respectively, for the neutral masses. The first unknown was tentatively identified as glycerol-O-β-D-galactopyranoside (GG) and purchased (Cayman Chemical Company, Ann Arbor, MI, USA). The commercial compound was subjected to liquid chromatographic analysis using both the Dionex and Waters systems with retention times matching that of the first unknown. The [M − H] mass of the compound was also verified using the Synapt G2 Q-ToF mass spectrometer attached to the latter system.
Enzymatic hydrolysis of maize leaf extracts: An aliquot of a sample from the raffinose synthase mutant (removing raffinose as a confounding source of galactose upon hydrolysis with α-galactosidase) containing large amounts of unknowns 1 and 2 was spiked with GG and subjected to HPLC analysis (Figure 2A). Aliquots of the same sample were digested with either α-galactosidase (EC 3.2.1.22, from green coffee beans, Sigma (G-8507), St. Louis, MO, USA) or β-galactosidase (EC 3.2.1.23, from Escherichia coli, Sigma G-5635), or both, at 37 °C for 12 h before being diluted and analyzed. The activity and specificity of the commercial enzyme preparations were tested using positive controls containing aliquots of raffinose (O-α-D-galactopryranosyl-(1→6)-α-D-glucopyranosyl-β-D-fructofuranoside; United States Biological Inc. Life Sciences, Salem, MA, USA) or lactulose (4-O-β-D-galactopyranosyl-D-fructofuranoside; Sigma).
Correlation between water potential and carbohydrate amount: Turgid maize leaves and leaves at various stages of water loss, at the same position on the plant as those used for carbohydrate analysis, were wetted with water and slightly abraded with an emery board according to instructions provided with the WP4-T Dewpoint Potentiometer (Decagon Devices, Pullman, WA, USA). Leaves were patted dry, and leaf disks were taken from these abraded regions, placed in round plastic sample cups, and assessed for water potential. Once assessed, covers were added to the cups, the water potential was written on them, and the cups floated on LN2. The cups were transferred to −80 °C until they were retrieved for processing for carbohydrate analysis as detailed previously.
Statistical analysis: The carbohydrate amounts from the pairs of leaf disks from leaves 9 and 10, treated in the same manner (Figure 1A), were averaged among plants. Carbohydrate amounts for each of the combined leaf disk pairs from the plant replicates were subjected to analysis of variance (ANOVA; Statistical Analysis System (SAS); Cary, NC, USA), testing the non-directional hypothesis that there was a statistically significant difference in at least one of the carbohydrate amounts between non-lyophilized and lyophilized tissue. The null hypothesis was that there was no difference in any carbohydrate amount between leaf disks that were or were not subjected to lyophilization. If significant differences were indicated, the analysis was re-run and the averages were compared using Scheffe’s multiple pairwise comparison at an experiment-wide error rate of α = 0.05. Figures were generated from CAS SciFindern (CAS, Columbus, OH, USA), ChemDraw Professional (PerkinElmer Informatics, Inc., Hebron, KY, USA), or SigmaPlot for Windows Version 14.5 (Systat Software Inc., Point Richmond, CA, USA).
Water potential and carbohydrate amount data from leaf disks taken from turgid or wilted leaves were plotted using Proc plot (SAS) to assess patterns in carbohydrate amounts as leaf water potential decreased. When trends in the data were ascertained, a simple linear regression using Proc reg (SAS) was used to determine the significance of the model, predict the adjusted R2, and reveal the nature of the relationship (positive or negative).
A stepwise progression was used to ascertain if there were relationships between water potential or any carbohydrate and galactose, GG, or unknown 2 amounts (Proc Reg, SAS) to determine which of the gathered parameters was influencing the amounts of these metabolites the most. To be considered for inclusion in the model, the predictive value had to be 0.05 or less (Proc Reg, significance level entry “sle” = 0.05), and the same criterion was imposed on whether a parameter was retained in the model (significance level stay “sls” = 0.05) as a new predictor was added.

3. Results

Carbohydrate recoveries varied depending on the treatment of the leaf tissue disk prior to sample processing. Of the unknowns present in maize leaf disks with the extraction and analyses performed (Supplementary Figure S1) that varied depending on lyophilization, one was determined to be glycerol-O-β-D-galactopyranoside (GG). The basis of the identification is fourfold. First, the unknown 1 co-eluted with a commercial source using two different liquid chromatography systems (Figure 2A; Dionex system; Supplementary Figure S6; Waters system). Second, an identical neutral, monoisotopic mass to the commercial source (254.23; Molecular formula: C9H18O8) was determined using a Synapt G2 QTOF (Supplementary Figures S2 and S4). Third, the unknown 1 was stable to α-galactosidase activity. Finally, the unknown 1 was hydrolyzed by β-galactosidase as its peak from the chromatogram was missing and simultaneously the peak height of galactose increased (Figure 2 B,C and Figure 3A–C).
The unknown 2 metabolite (neutral, monoisotopic mass of 416.153; Supplementary Figures S3 and S5; one possible molecular formula: C15H28O13) had at least one α-linked galactose based on hydrolysis by α-galactosidase (Figure 2B,C and Figure 3A–C). This galactose is apparently attached to a β-linked galactose because treatment with β-galactosidase does not hydrolyze unknown 2 unless it has been previously hydrolyzed by α-galactosidase (Figure 3A–C). Hydrolysis of unknown 2 with α-galactosidase removes the unknown 2 peak but increases the peak height of GG (Figure 2B, C and Figure 3A–C). Furthermore, treatment with both α- and β-galactosidase increases galactose amounts beyond that achieved by α-galactosidase hydrolysis of unknown 2 and galactinol or β-galactosidase hydrolysis of GG (Figure 3A–C). Based on these observations, it is possible that unknown 2 might be 2,3-dihydroxypropyl 6-O-α-D-galactopyranosyl-β-D-galactopyranoside (drawn in Figure 3B) from lipase action on 1,2-diacyl-3-O-(α-D-galactosyl(1→6)-O-β-D-galactosyl)-sn-glycerol. The stability of unknown 2 when treated with β-galactosidase can be explained by the catalytic mechanism of this exo-enzyme [21], that is, the beta-linked galactose is shielded from the enzyme by the alpha-linked galactose. Simultaneous digestion of a sample with large amounts of unknown 2 with both α- and β-galactosidase eliminated unknown 2, GG, and galactinol while concurrently increasing galactose amounts greater than either α- or β-galactosidase working alone on the same extract (Figure 3A–C). We could not acquire digalactosyl–glycerol commercially and so this identification is tentative. Standards were amended to include GG (Figure 2 and Figure 3; Supplementary Tables S2 and S4).
Regardless of year, genotype, or fresh or frozen tissue, lyophilized leaf disks consistently had statistically significantly greater amounts of galactose than non-lyophilized leaves (Figure 4, Figure 5, Figure 6, Figure 7, Figure 8, Figure 9, Figure 10 and Figure 11A). Apart from the first year in rafs tissue, both GG (Figure 4, Figure 5, Figure 6, Figure 7, Figure 8, Figure 9, Figure 10 and Figure 11B) and unknown 2 (Figure 4, Figure 5, Figure 6, Figure 7, Figure 8, Figure 9, Figure 10 and Figure 11D) increased significantly after lyophilizing. In the second year, sorbitol was statistically significantly greater in lyophilized leaves, regardless of genotype or whether disks had been exposed to liquid nitrogen (LN2) or not prior to lyophilizing (Figure 6, Figure 7, Figure 8, Figure 9, Figure 10 and Figure 11C). In the second year, galactinol was usually equal (Figure 7B and Figure 9B) or statistically significantly greater (Figure 6B, Figure 8B and Figure 11B) in lyophilized relative to non-lyophilized tissues, except for rafs leaf disks without prior LN2 exposure, where it was statistically significantly less when lyophilized (Fr versus FrL; Figure 10B). Generally, raffinose, when present, tended to decrease after lyophilization, sucrose remained the same, and both glucose and fructose tended to increase, occasionally significantly (glucose in Figure 9C).
Both GG and unknown 2 usually increased in abundance after lyophilization. To determine if this increase could be mimicked as leaf cells decreased in water potential, we sampled detached leaves that were at various water potentials and assessed quantities of GG and unknown 2. While both metabolites were significantly associated with water potential, their adjusted R2 values for water potential were lower than the adjusted R2 values for water potential of galactose, glucose, and fructose (i.e., these carbohydrates correlated more strongly with leaf water potential). Furthermore, GG and unknown 2 were highly correlated (Supplementary Figure S7). We, therefore, attempted to determine possible predictors of the accumulation of GG or unknown 2 from the data we had gathered. Stepwise linear regression, limited to the introduction and retention of variables into the model at a significance level of 0.05 or lower, respectively, determined that the best predictors of GG amounts were unknown 2, fructose, and mannitol, while GG, fructose, mannitol, and trehalose were the best predictors of unknown 2 amounts (Supplementary Tables S5 and S6).

4. Discussion

Two unknown maize leaf metabolites were determined to frequently increase after lyophilizing samples, relative to non-lyophilized tissue, regardless of genotype or prior exposure to LN2. One of these was identified as glycerol-O-β-D-galactopyranoside (GG), a lipase degradation product of the chloroplast membrane lipid, monogalactosyl diacylglycerol (MGDG) [22] that, along with digalactosyl diacylglycerol (DGDG), are the two most abundant membrane lipids in the maize chloroplast [23]. There are many different lipid–acyl hydrolases that were identified that act to cleave esterified free fatty acids from MGDG [24], one of which (EC 3.1.1.26) also works on DGDG [25,26]. Lipase-mediated removal of acyl chains from GG during lyophilization may be a source of GG (and glycerol digalactopyranoside if that is truly the identity of unknown 2). Certainly, the galacto–lipase activity, responsible for free fatty acid production from DGDG and MGDG, and with that, off flavors, in the vegetable processing industry, is a target of investigation as a marker enzyme for assessing vegetable blanching efficacy [27,28]. It is our assumption that the source of the two galactoglycerols is from the degradation of thylakoid membrane components; as the only other biochemical pathway for their synthesis currently known would be the energy-intensive galactose addition from UDP-galactose to diacylglycerol [29]. While it is possible that these galactose-containing lipids are also the source of galactose increase after lyophilization resulting from β-galactosidase (acting on monogalactosyldiacylglycerol) or α- then β-galactosidase (acting sequentially on digalactosyldiacylglycerol), a definitive determination of the source(s) of galactose after lyophilizing remains elusive. Whatever the source of GG, it is quite possible that unknown 2 may be from the same source (i.e., chloroplast membrane components after lipase action) as the abundance of both GG and the unknown 2 are tightly linked (Supplementary Tables S5 and S6; Supplementary Figure S7). Digestion of the second unknown with α-galactosidase increases GG and galactose amounts, some of the latter coming from galactinol (Figure 2B,C and Figure 3A–C). However, when unknown 2 is digested with both α- and β-galactosidase, it is eliminated, while galactose abundance increases significantly more than when this extract is treated with either α- or β-galactosidase alone (Figure 3A–C). Whereas in this report, GG accumulation was associated with leaf stress due to lyophilizing, this metabolite was associated with superior performance under heat stress in wheat [30].
Discrepancies in the amount of carbohydrates present in lyophilized leaves were reported previously, although in the context of frozen tissues thawing during the lyophilization of large volumes of tissue [19]. We point out that in our experiments herein, the leaf disks presented very little mass, and that the equipment we use can maintain multiple 25 mL samples of 14% v/v ethanol solution frozen (when removing the diluted extraction solution prior to HPLC analysis). Additionally, cleaning the cold trap prior to re-establishing a vacuum was rapid, never resulting in the samples thawing during the leaf disk lyophilization or extraction solution removal.
We are studying the presumptive influence non-reducing sugars sucrose, raffinose, and galactinol have on protecting the longevity of desiccated seeds [16,31,32] and in reducing the unwanted effects of abiotic stress on vegetative tissues [20,33,34]. Particularly regarding dehydration of vegetative tissues, when comparing our results to those of others, it was important to determine if any eventual discrepancies might be attributable to sample treatment prior to extraction.
Apart from lyophilized leaf disks being tougher and generally more difficult to pulverize than their frozen counterparts (ABD and MRS personal observations), no general gross morphology changes were observed that might influence carbohydrate recovery from leaf tissues treated in various manners. Following preliminary assessments of leaves, an observation was made that freeze-dried samples had statistically significantly more galactose than frozen samples. This discrepancy could potentially be explained by assuming that raffinose, galactinol, or some other galactose-containing moiety was the source of galactose when some of the stores of these carbohydrates were hydrolyzed by a galactosidase during or while lyophilization. There are reports of an alkaline α-galactosidase capable of releasing the terminal galactose from the di-galactosyl glycerol polar head of the thylakoid lipid DGDG [35]. Another β-galactosidase in the chloroplast can hydrolyze galactose from monogalactosyl diacylglycerol [36,37], while a senescence-upregulated lipase capable of acting on both MGDG and DGDG has been reported [38]. There was a trend towards lower raffinose amounts in lyophilized leaf disks that were similar in amount to the increases in galactose (on a molar basis) but, while the galactose increases were statistically significant, the raffinose declines were not. Neither did sucrose increase, although there was a trend for glucose and fructose to do so. We tested the presumption that raffinose might be the source of galactose in lyophilized leaves by including in our analysis, leaves from the maize rafs mutant which makes no raffinose or higher-order RFOs [16]. Raffinose was eliminated in the mutant leaves, as anticipated [16] and, while galactose amounts, regardless of treatment (Fz versus FzL; Fr versus FrL) decreased overall in rafs leaf disks, galactose amounts were still statistically significantly greater when the disks were lyophilized.
None of the other galactose-containing carbohydrates we identified were statistically significantly reduced when the leaf disks were subjected to lyophilizing relative to the non-lyophilized disks. In fact, if there was a statistical difference, regardless of genotype, lyophilizing increased the amount of galactose-containing carbohydrate (GG, galactinol, and unknown 2). Potentially, galactose is hydrolyzed from many different sources during lyophilization. Because these sources also increase in abundance due to lyophilization (e.g., GG and unknown 2), their contributions to galactose are masked. Taken together, we are unable to determine a single source responsible for galactose increases when leaf disks are lyophilized.

5. Conclusions

We conclude that maize leaf samples should be collected and frozen in LN2 immediately without subsequent lyophilization. This is to avoid unwanted changes in soluble carbohydrate quantities, particularly both galactose and glycerol galactopyranoside (GG; potentially also glycerol digalactopyranoside) increases due to lipase action on chloroplast MGDG (potentially also DGDG) membrane components if lyophilized.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/biom13010148/s1, Figure S1: Three samples, varying in the amounts of unknowns 1 and 2; Figure S2: Chromatographs of the same samples as in Supplementary Figure S1 using the Waters HILIC system; Figure S3: Chromatographs of the same samples as in Supplementary Figure S1 using the Waters HILIC system; Figure S4: Mass of ion at retention time 3.7 min; Figure S5: Mass of ion at retention time 5.88 min; Figure S6: Three chromatographs for comparison of elution times of unknown 1 with a commercial source; Figure S7: Abundance of glycerol-O-β-D-galactopyranoside (GG) and unknown 2 are tightly linked; Table S1: Chromatography conditions for carbohydrate analysis on the Dionex system; Table S2: Carbohydrate and elution time with the conditions related in the Supplementary Table S1; Table S3: Chromatography conditions for carbohydrate analysis on the Waters system; Table S4: Carbohydrate, retention time, observed ion, and monoisotopic mass with conditions as in Supplementary Table S3; Table S5: Stepwise prediction of glycerol-O-β-D-galactopyranoside (GG); and Table S6: Stepwise prediction of Unknown 2.

Author Contributions

Conceptualization, all authors designed aspects of the research project in collaboration. Additionally, T.L. provided and verified the Zmrafs and NS maize lines, while Q.H. and Y.Z. assisted in this verification and also verified some of the carbohydrate identifications from maize samples. Investigation, M.R.S. and A.B.D. extracted carbohydrates from maize leaf discs and ran samples on the HPLC. J.M. ran the samples on the Waters system and Synapt G2 QTOF. Formal analysis, L.M.A.D., J.M., M.R.S. and A.B.D. reintegrated samples, L.M.A.D. and J.M. processed the data and designed the figures. T.Z. directed the sampling regime and suggested the use of the Zmrafs line and experiments performed in the second year without freezing in LN2 based on information gathered by T.L., Q.H. and Y.Z. Statistical analyses were conducted by A.B.D. All authors wrote sections of the manuscript and/or edited aspects of it. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by The Army Research Office which supported part of this project through Grant W911NF1910222 to ABD to purchase the Dionex HPLC. Hatch Grant 1019088 to ABD purchased all consumables.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The leaf extracts from which these data were acquired reside frozen at −20 in the corresponding author’s lab, room 434, Plant Science Building. The chromatographs are present on the computer in the same lab. The assessments leading to the determination of unknown 1 as galactosylglycerol and the mass of unknown 2, are resident in JM’s lab.

Acknowledgments

Walter Rudus provided the sterilized clay, field soil while Shari Dutton scouted for disease and insect infestations and prevented the same on the plants in the greenhouse. Robert Geneve permitted the use of his WP4-T Dewpoint Potentiometer. We wish to acknowledge Marty Sachs, Director of the Maize Genetics Cooperation–Stock Center, Urbana, IL, USA operated by USDA/ARS (located at the University of Illinois, Urbana/Champaign) and integrated with the National Plant Germplasm System (NPGS) for providing the Maize Uniform-Mu (UFMu) raffinose synthase mutant and parental W22 line used for backcrossing to produce the null-segregant used in this study. Jack Goodman critically read parts of the manuscript for which we are grateful.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Zhang, Q.; Song, X.; Bartels, D. Enzymes and metabolites in carbohydrate metabolism of desiccation tolerant plants. Proteomes 2016, 4, 40. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Ghasempour, H.R.; Gaff, D.F.; Williams, R.P.W.; Gianello, R.D. Contents of sugars in leaves of drying desiccation tolerant flowering plants, particularly grasses. Plant Growth Regul. 1998, 24, 185–191. [Google Scholar] [CrossRef]
  3. Erkut, C.; Gade, V.R.; Laxman, S.; Kurzchalia, T.V. The glyoxylate shunt is essential for desiccation tolerance in C. elegans and budding yeast. Elife 2016, 5, e13614. [Google Scholar] [CrossRef] [PubMed]
  4. Battaglia, M.; Olvera-Carrillo, Y.; Garciarrubio, A.; Campos, F.; Covarrubias, A.A. The enigmatic LEA proteins and other hydrophilins. Plant Physiol. 2008, 148, 6–24. [Google Scholar] [CrossRef] [Green Version]
  5. Crowe, J.H.; Carpenter, J.F.; Crowe, L.M. The role of vitrification in anhydrobiosis. Annu. Rev. Physiol. 1998, 60, 73–103. [Google Scholar] [CrossRef]
  6. Tolleter, D.; Jaquinod, M.; Mangavel, C.; Passirani, C.; Saulnier, P.; Manon, S.; Teyssier, E.; Payet, N.; Avelange-Macherel, M.H.; Macherel, D. Structure and function of a mitochondrial late embryogenesis abundant protein are revealed by desiccation. Plant Cell 2007, 19, 1580–1589. [Google Scholar] [CrossRef] [Green Version]
  7. Salvi, P.; Kamble, N.U.; Majee, M. Stress-Inducible galactinol synthase of chickpea (CaGolS) is implicated in heat and oxidative stress tolerance through reducing stress-induced excessive reactive oxygen species accumulation. Plant Cell Physiol. 2018, 59, 155–166. [Google Scholar] [CrossRef] [Green Version]
  8. Benaroudj, N.; Lee, D.H.; Goldberg, A.L. Trehalose accumulation during cellular stress protects cells and cellular proteins from damage by oxygen radicals. J. Biol. Chem. 2001, 276, 24261–24267. [Google Scholar] [CrossRef] [Green Version]
  9. Goyal, K.; Walton, L.J.; Tunnacliffe, A. LEA proteins prevent protein aggregation due to water stress. Biochem. J. 2005, 388, 151–157. [Google Scholar] [CrossRef] [Green Version]
  10. Koster, K.L. Glass formation and desiccation tolerance in seeds. Plant Physiol. 1991, 96, 302–304. [Google Scholar] [CrossRef]
  11. Kim, S.X.; Camdere, G.; Hu, X.; Koshland, D.; Tapia, H. Synergy between the small intrinsically disordered protein Hsp12 and trehalose sustain viability after severe desiccation. Elife 2018, 7, e38337. [Google Scholar] [CrossRef]
  12. Brenac, P.; Smith, M.E.; Obendorf, R.L. Raffinose accumulation in maize embryos in the absence of a fully functional Vp1 gene product. Planta 1997, 203, 222–228. [Google Scholar] [CrossRef]
  13. Julius, B.T.; McCubbin, T.J.; Mertz, R.A.; Baert, N.; Knoblauch, J.; Grant, D.G.; Conner, K.; Bihmidine, S.; Chomet, P.; Wagner, R.; et al. Maize Brittle Stalk2-Like3, encoding a COBRA protein, functions in cell wall formation and carbohydrate partitioning. Plant Cell 2021, 33, 3348–3366. [Google Scholar] [CrossRef] [PubMed]
  14. Saiz-Fernandez, I.; De Diego, N.; Brzobohaty, B.; Munoz-Rueda, A.; Lacuesta, M. The imbalance between C and N metabolism during high nitrate supply inhibits photosynthesis and overall growth in maize (Zea mays L.). Plant Physiol. Biochem. 2017, 120, 213–222. [Google Scholar] [CrossRef]
  15. Ning, P.; Peng, Y.; Fritschi, F.B. Carbohydrate dynamics in maize leaves and developing ears in response to nitrogen application. Agronomy 2018, 8, 302. [Google Scholar] [CrossRef] [Green Version]
  16. Li, T.; Zhang, Y.; Wang, D.; Liu, Y.; Dirk, L.M.A.; Goodman, J.; Downie, A.B.; Wang, J.; Wang, G.; Zhao, T. Regulation of seed vigor by manipulation of raffinose family oligosaccharides in maize and Arabidopsis thaliana. Mol. Plant 2017, 10, 1540–1555. [Google Scholar] [CrossRef] [Green Version]
  17. Popp, M.; Lied, W.; Meyer, A.J.; Richter, A.; Schiller, P.; Schwitte, H. Sample preservation for determination of organic compounds: Microwave versus freeze-drying. J. Exp. Bot. 1996, 47, 1469–1473. [Google Scholar] [CrossRef] [Green Version]
  18. Womersley, C.; Smith, L. Anhydrobiosis in nematodes I. The role of glycerol myo-inositol and trehalose during desiccation. Comp. Biochem. Physiol. B Comp. Biochem. 1981, 70, 579–586. [Google Scholar] [CrossRef]
  19. Hendrix, D.L.; Peelen, K.K. Artifacts in the analysis of plant tissues for soluble carbohydrate. Crop Sci. 1987, 27, 710–715. [Google Scholar] [CrossRef]
  20. Li, T.; Zhang, Y.; Liu, Y.; Li, X.; Hao, G.; Han, Q.; Dirk, L.M.A.; Downie, A.B.; Ruan, Y.L.; Wang, J.; et al. Raffinose synthase enhances drought tolerance through raffinose synthesis or galactinol hydrolysis in maize and Arabidopsis plants. J. Biol. Chem. 2020, 295, 8064–8077. [Google Scholar] [CrossRef]
  21. Marin-Navarro, J.; Talens-Perales, D.; Oude-Vrielink, A.; Canada, F.J.; Polaina, J. Immobilization of thermostable beta-galactosidase on epoxy support and its use for lactose hydrolysis and galactooligosaccharides biosynthesis. World J. Microbiol. Biotechnol. 2014, 30, 989–998. [Google Scholar] [CrossRef] [PubMed]
  22. Boos, W. Synthesis of (2R)-glycerol-o-beta-D-galactopyranoside by beta-galactosidase. Methods Enzym. 1982, 89 Pt D, 59–64. [Google Scholar] [CrossRef]
  23. Poincelot, R.P. Differences in lipid composition between undifferentiated and mature maize chloroplasts. Plant Physiol. 1973, 51, 802–804. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Cook, R.; Lupette, J.; Benning, C. The role of chloroplast membrane lipid metabolism in plant environmental responses. Cells 2021, 10, 706. [Google Scholar] [CrossRef] [PubMed]
  25. Hirayama, O.; Matsuda, H.; Takeda, H.; Maenaka, K.; Takatsuka, H. Purification and properties of a lipid acyl-hydrolase from potato tubers. Biochim. Biophys. Acta 1975, 384, 127–137. [Google Scholar] [CrossRef] [PubMed]
  26. Helmsing, P.J. Purification and properties of galactolipase. Biochim. Biophys. Acta 1969, 178, 519–533. [Google Scholar] [CrossRef]
  27. Christensen, L.P. Galactolipids as potential health promoting compounds in vegetable foods. Recent Pat Food Nutr. Agric. 2009, 1, 50–58. [Google Scholar] [CrossRef] [Green Version]
  28. Kim, M.J.; Oh, J.M.; Cheon, S.H.; Cheong, T.K.; Lee, S.H.; Choi, E.O.; Lee, H.G.; Park, C.S.; Park, K.H. Thermal inactivation kinetics and application of phospho- and galactolipid-degrading enzymes for evaluation of quality changes in frozen vegetables. J. Agric. Food Chem. 2001, 49, 2241–2248. [Google Scholar] [CrossRef]
  29. Rocha, J.; Nitenberg, M.; Girard-Egrot, A.; Jouhet, J.; Marechal, E.; Block, M.A.; Breton, C. Do galactolipid synthases play a key role in the biogenesis of chloroplast membranes of higher plants? Front Plant Sci. 2018, 9, 126. [Google Scholar] [CrossRef] [Green Version]
  30. Thomason, K.; Babar, M.A.; Erickson, J.E.; Mulvaney, M.; Beecher, C.; MacDonald, G. Comparative physiological and metabolomics analysis of wheat (Triticum aestivum L.) following post-anthesis heat stress. PLoS ONE 2018, 13, e0197919. [Google Scholar] [CrossRef]
  31. Zhang, Y.; Li, D.; Dirk, L.M.A.; Downie, A.B.; Zhao, T. ZmAGA1 hydrolyzes RFOs late during the lag phase of seed germination, shifting sugar metabolism toward seed germination over seed aging tolerance. J. Agric. Food Chem. 2021, 69, 11606–11615. [Google Scholar] [CrossRef]
  32. Han, Q.; Chen, K.; Yan, D.; Hao, G.; Qi, J.; Wang, C.; Dirk, L.M.A.; Bruce Downie, A.; Gong, J.; Wang, J.; et al. ZmDREB2A regulates ZmGH3.2 and ZmRAFS, shifting metabolism towards seed aging tolerance over seedling growth. Plant J. 2020, 104, 268–282. [Google Scholar] [CrossRef]
  33. Han, Q.; Qi, J.; Hao, G.; Zhang, C.; Wang, C.; Dirk, L.M.A.; Downie, A.B.; Zhao, T. ZmDREB1A regulates RAFFINOSE SYNTHASE controlling raffinose accumulation and plant chilling stress tolerance in maize. Plant Cell Physiol. 2020, 61, 331–341. [Google Scholar] [CrossRef]
  34. Gu, L.; Jiang, T.; Zhang, C.; Li, X.; Wang, C.; Zhang, Y.; Li, T.; Dirk, L.M.A.; Downie, A.B.; Zhao, T. Maize HSFA2 and HSBP2 antagonistically modulate raffinose biosynthesis and heat tolerance in Arabidopsis. Plant J. 2019, 100, 128–142. [Google Scholar] [CrossRef]
  35. Lee, R.H.; Hsu, J.H.; Huang, H.J.; Lo, S.F.; Grace Chen, S.C. Alkaline alpha-galactosidase degrades thylakoid membranes in the chloroplast during leaf senescence in rice. New Phytol. 2009, 184, 596–606. [Google Scholar] [CrossRef]
  36. Dwevedi, A.; Kayastha, A.M. Plant beta-galactosidases: Physiological significance and recent advances in technological applications. J. Plant Biochem. Biotechnol. 2010, 19, 9–20. [Google Scholar] [CrossRef]
  37. Sastry, P.S.; Kates, M. Hydrolysis of monogalactosyl and digalactosyl diglycerides by specific enzymes in runner-bean leaves. Biochemistry 1964, 3, 1280–1287. [Google Scholar] [CrossRef]
  38. He, Y.; Gan, S. A gene encoding an acyl hydrolase is involved in leaf senescence in Arabidopsis. Plant Cell 2002, 14, 805–815. [Google Scholar] [CrossRef]
Figure 1. Graphic showing the sampling of the maize leaf. Maize plants (W22, raffinose synthase (rafs) [GRMZM2G150906] mutant or null segregant (NS)) were grown to maturity before leaf disks from the 9th (A and B) and 10th (C and D) leaves were sampled. One disk from the 9th and one from the 10th leaf constituted replications of each treatment. In the first year (Year 1), these leaf disks were frozen in liquid nitrogen (LN2) and either immediately stored at −80 °C or lyophilized to dryness and then stored at −80 °C, constituting the treatments frozen (Fz) and frozen lyophilized (FzL). In the second year (Year 2), leaf disks were harvested and immediately ground (fresh, Fr) or placed in the lyophilizer without prior freezing (FrL). Similar to the first year, other leaf disks were harvest and frozen in LN2 and either immediately stored at −80 °C (Fz) or lyophilized to dryness and then stored at −80 °C (FzL).
Figure 1. Graphic showing the sampling of the maize leaf. Maize plants (W22, raffinose synthase (rafs) [GRMZM2G150906] mutant or null segregant (NS)) were grown to maturity before leaf disks from the 9th (A and B) and 10th (C and D) leaves were sampled. One disk from the 9th and one from the 10th leaf constituted replications of each treatment. In the first year (Year 1), these leaf disks were frozen in liquid nitrogen (LN2) and either immediately stored at −80 °C or lyophilized to dryness and then stored at −80 °C, constituting the treatments frozen (Fz) and frozen lyophilized (FzL). In the second year (Year 2), leaf disks were harvested and immediately ground (fresh, Fr) or placed in the lyophilizer without prior freezing (FrL). Similar to the first year, other leaf disks were harvest and frozen in LN2 and either immediately stored at −80 °C (Fz) or lyophilized to dryness and then stored at −80 °C (FzL).
Biomolecules 13 00148 g001
Figure 2. Verification of the identity of unknowns in maize leaf carbohydrate extracts. Glycerol-O-β-D-galactopyranoside (GG; inset on the left: chemical structure) was acquired from a commercial source and run on both the Waters (not shown) and (A) the Dionex systems. The overlaid chromatographs show the trace from a 100 µM GG sample (orange line), 100 µM GG added to the external standard (pink line) and the external standard without GG (blue line). Additionally, a sample containing large amounts of unknowns 1 and 2 (black line) was spiked with 100 µM of GG (green line) and run on the Dionex system. (B) Chromatographic and enzymatic verification of the tentatively identified GG as unknown 1. Overlays of the unhydrolyzed sample (black line), α- (blue line), or β-galactosidase-hydrolyzed (pink line) aliquots of a sample containing the first and second unknown. A trace of raffinose hydrolyzed with β-galactosidase is also shown (green trace) to emphasize the glycerol increase and the presence of an unknown peak eluting at ~7.0 min is predominantly due to the stabilizers/preservatives in the β-galactosidase preparation. Note the increase in galactose whenever the samples are hydrolyzed. (C) A closeup of the overlaid traces in B. In all figures, the trace offset (T.O.) used to overlay chromatographs (red parentheses) is insufficient to explain the peak increases in GG from spiking or enzymatic hydrolysis. This is strong evidence supporting the supposition that hydrolysis of unknown 2 by α-galactosidase produces additional GG.
Figure 2. Verification of the identity of unknowns in maize leaf carbohydrate extracts. Glycerol-O-β-D-galactopyranoside (GG; inset on the left: chemical structure) was acquired from a commercial source and run on both the Waters (not shown) and (A) the Dionex systems. The overlaid chromatographs show the trace from a 100 µM GG sample (orange line), 100 µM GG added to the external standard (pink line) and the external standard without GG (blue line). Additionally, a sample containing large amounts of unknowns 1 and 2 (black line) was spiked with 100 µM of GG (green line) and run on the Dionex system. (B) Chromatographic and enzymatic verification of the tentatively identified GG as unknown 1. Overlays of the unhydrolyzed sample (black line), α- (blue line), or β-galactosidase-hydrolyzed (pink line) aliquots of a sample containing the first and second unknown. A trace of raffinose hydrolyzed with β-galactosidase is also shown (green trace) to emphasize the glycerol increase and the presence of an unknown peak eluting at ~7.0 min is predominantly due to the stabilizers/preservatives in the β-galactosidase preparation. Note the increase in galactose whenever the samples are hydrolyzed. (C) A closeup of the overlaid traces in B. In all figures, the trace offset (T.O.) used to overlay chromatographs (red parentheses) is insufficient to explain the peak increases in GG from spiking or enzymatic hydrolysis. This is strong evidence supporting the supposition that hydrolysis of unknown 2 by α-galactosidase produces additional GG.
Biomolecules 13 00148 g002
Figure 3. Further verification of the identity of unknowns in maize leaf carbohydrate extracts. The same extracts hydrolyzed in Figure 2 were hydrolyzed again but with both α- and β-galactosidase added simultaneously as another treatment (orange trace). (A) Galactose amounts increased above that for unhydrolyzed sample when hydrolyzed by α-galactosidase (blue trace; from galactinol and unknown 2), by β-galactosidase (pink trace; from glycerol-O-β-D-galactopyranoside (GG)) and increased still further upon simultaneous digestion of the sample with both α- and β-galactosidase (orange trace). Simultaneous hydrolysis also eliminated the peaks for GG, galactinol, and unknown 2 (orange trace). (B) A closeup of the overlaid traces in A. A potential structural identification of unknown 2 from its mass and patterns of enzyme hydrolysis is presented in the lower right inset. (C) An analysis of variance was performed to assess differences in amounts of the metabolites, namely glycerol, GG, galactinol, unknown 2 (in nanocoulombs per min; right axis), and galactose, depending on enzyme treatment. The carbohydrate quantities for all but glycerol were acquired from replicate, 10-fold-diluted, traces (depicted); whereas, to acquire quantities for glycerol that were on the linear portion of the detector response, a 50-fold dilution (not shown) was used. Whenever hydrolysis occurred using β-galactosidase, these glycerol quantities also include glycerol from the commercial preparation. For metabolites, comparisons are made among, not within, enzymatic treatments. Different letters (uppercase, lowercase, or symbol) over the bars among enzymatic treatments denote statistically significant differences among treatments (ANOVA, Scheffe’s multiple comparison test, a = 0.05). The * over glycerol in extracts where the commercial β-galactosidase enzyme was used is predominantly from the enzyme preparation.
Figure 3. Further verification of the identity of unknowns in maize leaf carbohydrate extracts. The same extracts hydrolyzed in Figure 2 were hydrolyzed again but with both α- and β-galactosidase added simultaneously as another treatment (orange trace). (A) Galactose amounts increased above that for unhydrolyzed sample when hydrolyzed by α-galactosidase (blue trace; from galactinol and unknown 2), by β-galactosidase (pink trace; from glycerol-O-β-D-galactopyranoside (GG)) and increased still further upon simultaneous digestion of the sample with both α- and β-galactosidase (orange trace). Simultaneous hydrolysis also eliminated the peaks for GG, galactinol, and unknown 2 (orange trace). (B) A closeup of the overlaid traces in A. A potential structural identification of unknown 2 from its mass and patterns of enzyme hydrolysis is presented in the lower right inset. (C) An analysis of variance was performed to assess differences in amounts of the metabolites, namely glycerol, GG, galactinol, unknown 2 (in nanocoulombs per min; right axis), and galactose, depending on enzyme treatment. The carbohydrate quantities for all but glycerol were acquired from replicate, 10-fold-diluted, traces (depicted); whereas, to acquire quantities for glycerol that were on the linear portion of the detector response, a 50-fold dilution (not shown) was used. Whenever hydrolysis occurred using β-galactosidase, these glycerol quantities also include glycerol from the commercial preparation. For metabolites, comparisons are made among, not within, enzymatic treatments. Different letters (uppercase, lowercase, or symbol) over the bars among enzymatic treatments denote statistically significant differences among treatments (ANOVA, Scheffe’s multiple comparison test, a = 0.05). The * over glycerol in extracts where the commercial β-galactosidase enzyme was used is predominantly from the enzyme preparation.
Biomolecules 13 00148 g003
Figure 4. Amounts of soluble carbohydrates from null segregant maize leaf disks sampled in year 1. Carbohydrates were analyzed and quantified from null segregant (NS) maize leaves that were frozen after harvest (Fz; red circles) or were frozen and then lyophilized to dryness (FzL = frozen lyophilized; red squares). For each carbohydrate, the box and whisker plot depicts the mean (red bar) and median (black bar), with the box capturing the interquartile range (25th to the 75th percentile), the whiskers signify the 10th to the 90th percentile, and outliers are dots beyond these whiskers, if any. For carbohydrate amounts (nmoles) from the same-sized disks, different uppercase letters over the box plots between frozen and lyophilized tissues denote statistically significant differences between treatments (ANOVA, Scheffe’s multiple comparison test, α = 0.05). (A): myo-inositol; galactose; sucrose and raffinose. (B): galactinol and glycerol–galactopyranoside. (C): Sorbitol; mannitol; trehalose; glucose, and fructose. (D): Area under the curve for unknown 2.
Figure 4. Amounts of soluble carbohydrates from null segregant maize leaf disks sampled in year 1. Carbohydrates were analyzed and quantified from null segregant (NS) maize leaves that were frozen after harvest (Fz; red circles) or were frozen and then lyophilized to dryness (FzL = frozen lyophilized; red squares). For each carbohydrate, the box and whisker plot depicts the mean (red bar) and median (black bar), with the box capturing the interquartile range (25th to the 75th percentile), the whiskers signify the 10th to the 90th percentile, and outliers are dots beyond these whiskers, if any. For carbohydrate amounts (nmoles) from the same-sized disks, different uppercase letters over the box plots between frozen and lyophilized tissues denote statistically significant differences between treatments (ANOVA, Scheffe’s multiple comparison test, α = 0.05). (A): myo-inositol; galactose; sucrose and raffinose. (B): galactinol and glycerol–galactopyranoside. (C): Sorbitol; mannitol; trehalose; glucose, and fructose. (D): Area under the curve for unknown 2.
Biomolecules 13 00148 g004
Figure 5. Amounts of soluble carbohydrates from mutant maize leaf disks sampled in year 1. Carbohydrates were analyzed from raffinose synthase (rafs) maize leaves that were frozen after harvest (Fz; light green circles) or were frozen and then lyophilized to dryness (FzL = frozen lyophilized; light green squares). For each carbohydrate, the box and whisker plot depicts the mean (red bar) and median (black bar), with the box capturing the interquartile range (25th to the 75th percentile), the whiskers signify the 10th to the 90th percentile, and outliers are dots beyond these whiskers, if any. For carbohydrate amounts (nmoles) from the same-sized disks, different uppercase letters over the box plots between frozen and lyophilized tissues denote statistically significant differences between treatments (ANOVA, Scheffe’s multiple comparison test, α = 0.05). (A): myo-inositol; galactose; sucrose and raffinose. (B): galactinol and glycerol–galactopyranoside. (C): Sorbitol; mannitol; trehalose; glucose, and fructose. (D): Area under the curve for unknown 2.
Figure 5. Amounts of soluble carbohydrates from mutant maize leaf disks sampled in year 1. Carbohydrates were analyzed from raffinose synthase (rafs) maize leaves that were frozen after harvest (Fz; light green circles) or were frozen and then lyophilized to dryness (FzL = frozen lyophilized; light green squares). For each carbohydrate, the box and whisker plot depicts the mean (red bar) and median (black bar), with the box capturing the interquartile range (25th to the 75th percentile), the whiskers signify the 10th to the 90th percentile, and outliers are dots beyond these whiskers, if any. For carbohydrate amounts (nmoles) from the same-sized disks, different uppercase letters over the box plots between frozen and lyophilized tissues denote statistically significant differences between treatments (ANOVA, Scheffe’s multiple comparison test, α = 0.05). (A): myo-inositol; galactose; sucrose and raffinose. (B): galactinol and glycerol–galactopyranoside. (C): Sorbitol; mannitol; trehalose; glucose, and fructose. (D): Area under the curve for unknown 2.
Biomolecules 13 00148 g005
Figure 6. For a second year, carbohydrates were analyzed from null segregant (NS) maize leaves. The disks were frozen after harvest (Fz; red circles) or were frozen and then lyophilized to dryness (FzL = frozen lyophilized; red squares). The same carbohydrates are depicted, and statistically significant differences are determined in the same manner, as in Figure 4.
Figure 6. For a second year, carbohydrates were analyzed from null segregant (NS) maize leaves. The disks were frozen after harvest (Fz; red circles) or were frozen and then lyophilized to dryness (FzL = frozen lyophilized; red squares). The same carbohydrates are depicted, and statistically significant differences are determined in the same manner, as in Figure 4.
Biomolecules 13 00148 g006
Figure 7. For a second year, carbohydrates were analyzed from raffinose synthase (rafs) maize leaves. The disks were frozen after harvest (Fz; light green circles) or were frozen and then lyophilized to dryness (FzL = frozen lyophilized; light green squares). The same carbohydrates are depicted, and statistically significant differences are determined in the same manner as in Figure 4.
Figure 7. For a second year, carbohydrates were analyzed from raffinose synthase (rafs) maize leaves. The disks were frozen after harvest (Fz; light green circles) or were frozen and then lyophilized to dryness (FzL = frozen lyophilized; light green squares). The same carbohydrates are depicted, and statistically significant differences are determined in the same manner as in Figure 4.
Biomolecules 13 00148 g007
Figure 8. Carbohydrates were analyzed from W22 wild type (W22) maize leaves. The disks were frozen after harvest (Fz; dark green circles) or were frozen and then lyophilized to dryness (FzL = frozen lyophilized; dark green squares). The same carbohydrates are depicted, and statistically significant differences are determined in the same manner as in Figure 4.
Figure 8. Carbohydrates were analyzed from W22 wild type (W22) maize leaves. The disks were frozen after harvest (Fz; dark green circles) or were frozen and then lyophilized to dryness (FzL = frozen lyophilized; dark green squares). The same carbohydrates are depicted, and statistically significant differences are determined in the same manner as in Figure 4.
Biomolecules 13 00148 g008
Figure 9. Carbohydrates were analyzed from null segregant (NS) maize leaves. The disks were ground immediately upon harvest (Fr = fresh; red circles) or were lyophilized to dryness without prior exposure to LN2 (FrL = fresh lyophilized; red squares). The same carbohydrates are depicted, and statistically significant differences are determined in the same manner, as in Figure 4.
Figure 9. Carbohydrates were analyzed from null segregant (NS) maize leaves. The disks were ground immediately upon harvest (Fr = fresh; red circles) or were lyophilized to dryness without prior exposure to LN2 (FrL = fresh lyophilized; red squares). The same carbohydrates are depicted, and statistically significant differences are determined in the same manner, as in Figure 4.
Biomolecules 13 00148 g009
Figure 10. Carbohydrates were analyzed from raffinose synthase mutant (rafs) maize leaves. The disks were ground immediately upon harvest (Fr = fresh; light green circles) or were lyophilized to dryness without prior exposure to LN2 (FrL = fresh lyophilized; light green squares). The same carbohydrates are depicted, and statistically significant differences are determined in the same manner, as in Figure 4.
Figure 10. Carbohydrates were analyzed from raffinose synthase mutant (rafs) maize leaves. The disks were ground immediately upon harvest (Fr = fresh; light green circles) or were lyophilized to dryness without prior exposure to LN2 (FrL = fresh lyophilized; light green squares). The same carbohydrates are depicted, and statistically significant differences are determined in the same manner, as in Figure 4.
Biomolecules 13 00148 g010
Figure 11. Carbohydrates were analyzed from W22 wild type (W22) maize leaves. The disks were ground immediately upon harvest (Fr = fresh; dark green circles) or were lyophilized to dryness without prior exposure to LN2 (FrL = fresh lyophilized; dark green squares). The same carbohydrates are depicted, and statistically significant differences are determined in the same manner, as in Figure 4.
Figure 11. Carbohydrates were analyzed from W22 wild type (W22) maize leaves. The disks were ground immediately upon harvest (Fr = fresh; dark green circles) or were lyophilized to dryness without prior exposure to LN2 (FrL = fresh lyophilized; dark green squares). The same carbohydrates are depicted, and statistically significant differences are determined in the same manner, as in Figure 4.
Biomolecules 13 00148 g011
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Dirk, L.M.A.; Zhao, T.; May, J.; Li, T.; Han, Q.; Zhang, Y.; Sahib, M.R.; Downie, A.B. Alterations in Carbohydrate Quantities in Freeze-Dried, Relative to Fresh or Frozen Maize Leaf Disks. Biomolecules 2023, 13, 148. https://doi.org/10.3390/biom13010148

AMA Style

Dirk LMA, Zhao T, May J, Li T, Han Q, Zhang Y, Sahib MR, Downie AB. Alterations in Carbohydrate Quantities in Freeze-Dried, Relative to Fresh or Frozen Maize Leaf Disks. Biomolecules. 2023; 13(1):148. https://doi.org/10.3390/biom13010148

Chicago/Turabian Style

Dirk, Lynnette M. A., Tianyong Zhao, John May, Tao Li, Qinghui Han, Yumin Zhang, Mohammad R. Sahib, and Allan Bruce Downie. 2023. "Alterations in Carbohydrate Quantities in Freeze-Dried, Relative to Fresh or Frozen Maize Leaf Disks" Biomolecules 13, no. 1: 148. https://doi.org/10.3390/biom13010148

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop