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Research paper

An Arabidopsis mutant line lacking the mitochondrial calcium transport regulator MICU shows an altered metabolite profile

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Article: 2271799 | Received 18 Jul 2023, Accepted 12 Oct 2023, Published online: 25 Oct 2023

ABSTRACT

Plant metabolism is constantly changing and requires input signals for efficient regulation. The mitochondrial calcium uniporter (MCU) couples organellar and cytoplasmic calcium oscillations leading to oxidative metabolism regulation in a vast array of species. In Arabidopsis thaliana, genetic deletion of AtMICU leads to altered mitochondrial calcium handling and ultrastructure. Here we aimed to further assess the consequences upon genetic deletion of AtMICU. Our results confirm that AtMICU safeguards intracellular calcium transport associated with carbohydrate, amino acid, and phytol metabolism modifications. The implications of such alterations are discussed.

Introduction

In Arabidopsis thaliana, calcium ions regulate signaling and metabolism under normal or stress conditions.Citation1 While it is well established that this divalent cation can alter the fate of a plant cell, the mechanisms by which plant cells transport Ca2+ are still under study.Citation2 Intracellular calcium buffering and storage play important roles in the homeostasis of this cation. Consequently, organellar calcium transport and sensing lays at the center of plant metabolism following multivariate physiological and pathological cues.Citation3,Citation4 Intracellular calcium signaling sensors are important for shoot and root development as well as for pollen tube, stomatal and hormonal homeostasis.Citation5,Citation6 These signaling proteins orchestrate plant physiological responses through protein post translational modifications leading to changes in metabolism and cell structure.Citation7–9 Several transporters allowing calcium to enter a given organelle including Golgi apparatus.Citation10, chloroplasts,Citation11,Citation12 ERCitation13 and mitochondriaCitation14 have been unveiled during the last decades. The activity of some of these carriers can be detected upon specific signals. For example, darkness can induce calcium transients in Arabidopsis seedling thylakoids and stromata in a process coupled to circadian rhythms.Citation15,Citation16 Mitochondrial calcium levels can oscillate around 200 nM under resting conditionsCitation17–19 and markedly upsurge in response to cold, osmolarity, mechanic stimuli (i.e., touch, presence of herbivores, etc.) and reactive oxygen species (ROS).Citation20–24 Extracellular calcium oscillations have been carefully studied and proposed to constitute an effective signal -alongside ROS bursts- allowing plants to prepare for an upcoming challenge sensed by a small number of cells.Citation25 Plant mitochondrial calcium ions are imported through different transporters including a putative glutamate induced Ca2+-permeable AtGLR3.5Citation14 and a ruthenium red (RuR)- sensitive MCUc.Citation11 Mitochondrial Calcium Uniporter (MCU) holocomplexes are formed by calcium-transporting tetramers of MCU subunits spanning inner mitochondrial membranes coupled to a calcium-binding ‘gate-like’ MICU subunit in the intermembrane space.Citation26 While this holocomplex is known to transport calcium ions, some studies have reported the ability to transport Mn2+ cations.Citation27,Citation28 In A. thaliana, six MCU isoforms (AtMCU) and only one MICU homolog (AtMICU) constitute the minimal known configuration of MCUc.Citation29–31 Plant lines lacking one of the channel-forming MCU isoforms were found to feature distorted mitochondrial ultrastructure and altered primary root lengthCitation31 (absence of AtMCU1) and impaired pollen tube germination and growthCitation29 (absence of AtMCU2). Plants lacking channel-forming AtMCU1 isoform display distorted mitochondrial ultrastructure, altered primary root sizeCitation31 and impaired pollen tube germination and growthCitation29 alongside changes in calcium levels. Plants lacking chloroplast-specific MCU can display drought tolerance.Citation12 In addition, triple mutant plants lacking AtMCU1, 2 and 3 present a drastic reduction in mitochondrial calcium transport and show deregulated jasmonic acid-related signaling.Citation32 Conversely, plants lacking AtMICU show alterations in mitochondrial calcium levels and organellar ultrastructure, while overall plant morphology appears unchanged.Citation30 Here we aimed to further assess the physiological consequences of plants lacking AtMICU alongside potential derangements on overall metabolism derived from altered intracellular calcium transport. Our results confirm that AtMICU has an inhibitory effect on RuR-sensitive Ca2+ uptake into the mitochondria. They further indicate that lack of AtMICU has consequences that affect amino acid and carbohydrate metabolism.

Materials and methods

Materials

Digitonin, succinate, mannitol, MES, anhydrous CaCl2, H3BO3, sucrose, KH2PO4, RuR and Evans blue were purchased from Sigma-Aldrich. Calcium Green-5N was purchased from Invitrogen. All chemicals used for metabolomic analysis were HPLC grade.

Plant materials

Isogenic Arabidopsis thaliana Col-0 and T3 sequence-confirmed micu-1 (SALK_064052C) lines were obtained from the Arabidopsis Biological Resource Center, Ohio State University, USA. In this study, we decided to use this single micu-1 mutant strain since it belongs to the SALK Confirmed T-DNA ProjectCitation33 where T-DNA insertion was sequence-indexed at the AT4G32060 locus. TDNA-Seq is a pipeline for next-generation sequencing where pools of T-DNA lines can be sequenced in parallel and then de-convoluted based on their pooling pattern to assign T-DNA insertions back to their originating seed line. AT4G32060 gene interruption was validated through standard genotyping (Fig. S1). Seeds were routinely sterilized with 50% (v/v) bleach, 0.02% Tween 20 for 10 minutes before placing in vertical plates containing 1/2× MS media plus 1% agar supplemented with 0.1% (w/v) sucrose. Plates were stratified at 4°C under dark conditions for 72 h and placed in an Ambi-Hi-Lo incubator at 22°C under a 16 h/8 h light/dark photoperiod. Two-week-old seedlings were transferred to standard pots containing Sunshine Mix #3 (Sun Gro Horticulture), agrolite and perlite (2:1:1) during two additional weeks under standard greenhouse conditions for downstream experiments. One limitation of the present study pertains to the utilization of a single micu-1 mutant strain to understand potential metabolic adaptations. While this strain presents a similar phenotype to one previously reported (i.e. enhanced calcium uptakeCitation30 and belongs to the SALK Confirmed T-DNA Project,Citation33 it is always a better practice to obtain results and draw conclusions based on same locus mutations in as many available ecotypes.

Leaf mesophyll protoplast isolation

Leaves (25–30) were treated with 10 mL protoplast enzyme solution (PES) containing 1% cellulase (Sigma Cat., C0615), 0.25% Pectinase (Sigma Cat., P2401), 0.4 M mannitol, 20 mM KCl, 20 mM MES, pH 5.7 under the conditions described by Yoo and colleagues with minor modifications.Citation34 Briefly, leaves were vacuum infiltrated in PES for 30 min under dark conditions. Samples were incubated for 90 min at 40rpm and 25°C under dark conditions. Released protoplasts were treated with 10 mL W5 solution containing 154 mM NaCl, 125 mM. CaCl2, 5 mM KCl and 2 mM MES, pH 5.7. Protoplasts were used for experiments within a 16 h time frame after each isolation procedure.

Protoplast permeabilization

Isolated protoplasts were washed twice in Protoplast Assay Buffer (PAB) containing 330mOsM mannitol, 1 mM KH2PO4, 0.1 mM EDTA, 10 mM MES pH 5.7 and resuspended in PAB containing 0.01% digitonin or not (control) and stirred at 60rpm for 5 minutes. Protoplast permeability was determined under the microscope after staining for 5 minutes with 1% Evans blue followed by extensive washing with PAB.Citation35

Mitochondrial polarization assessment in col-0 and micu-1 leaf mesophylls

Three-week old plants from Col-0 and micu-1 genotypes were allowed to grow under standard greenhouse conditions at 22°C. Leaf mesophylls from both plants were stained with JC-1 using a previously described method and mitochondrial polarization was assessed under the microscope.Citation36

Calcium transport assessment

Washed permeabilized protoplasts were resuspended in PAB buffer containing 10 mM succinate to a cell density of 2 × 105/mL. After incubating the samples for 5 minutes in a fluorimeter cuvette, 10 μL from a stock solution of 10 mM CaCl2 were added to measure calcium uptake in a final volume of 1 mL. Calcium transients were assessed by measuring changes in the fluorescence of 2 μM Calcium Green-5N at 500 nmex/530 nmem as previously reported.Citation37 Calcium transport was also assessed in the presence of 2 μM RuR to determine the potential contribution of MCUc to such transport activity.

Protoplast mitochondrial integrity

Control or permeabilized protoplasts were resuspended in PAB buffer containing 10 mM glutamate to a cell density of 2 × 105 in a final volume of 1 mL and in the presence of 1 μM rhodamine 123. After incubating the samples for 25 minutes at room temperature, mitochondrial morphology and polarity were assessed at 40X magnification using an Olympus B×51epifluorescence microscope with a 460–490 nmex light source. Mitochondria were detected as bright-green objects with punctate appearance, while chloroplast autofluorescence was monitored in red.

Untargeted metabolomics analysis

Metabolites were extracted from ~0.16 g fresh leaves of 3-week-old plants from both genotypes with HPLC-grade solvents at −20°C. Plant tissue was weighted in an analytical balance and immediately grinded in a cold mortar with 2 mL MeOH/H2O (3:1) at −20°C. Samples were cleared at 12,000 rpm for 10 minutes. Supernatants were transferred to new tubes for downstream analyses. Then, 20 µL of internal standards (tridecanoic acid and 5α-cholestane, 0.18 mg/mL each) were added to the final extract and vortexed for 2 min. A blank consisting of methanol was included to check the presence of contaminants throughout the entire analysis.

The resultant extracts were divided in two equal aliquots and processed independently to identify any possible changes in retention time and intensity values during the protocol.

All extracts were dried until desiccation in a speedvac (Savant SPD121P-Thermo Scientific). For the derivatization process, 80 µL of methoxiamine hydrochloride (Sigma) in pyridine (Sigma) were added to the tube, vortexed and incubated for 90 min at 37°C under agitation. For trimetilsylilation, 80 µL of MBSTFA (Sigma) with 1% TMCS (Sigma) were added an incubated for 30 min at 37°C. Finally, one microliter was injected (splitless) with an autosampler (G4513A – Agilent) in a GC/MS system (5977A/7890B – Agilent) with an HP-5 ms (30 m × 250 µm × 0.25 µm – Agilent) column with helium 99.9999% as a mobile phase and at 1 ml/min flow with the following parameters: 200°C inlet temperature, 200°C source temperature, and 250°C interface temperature. The running method was set to 1 min hold at 60°C with a ramp of 10°C/min until 325°C. All samples were injected stochastically. A quality control sample consisting of a pool mixture of all the samples was injected every 4 samples to identify potential changes in retention times and peak intensities. Only those metabolites with less than 30% of relative standard deviation in the quality control samples were included in the final analysis. The relative standard deviation values for the tridecanoic acid and 5α-cholestane in all the samples analyzed was 8.3% and 7.6% respectively. Alignment and deconvolution were performed in MZmine 2.53 with the following parameters: RT range, 5.5–27.5 min; m/z range, 50–500; m/z tolerance, 0.5; noise level, 1 × 10Citation3; and peak duration range, 0.01–0.2 min.Citation38 The ‘rule of 80%’ was implemented for all the samples. For NIST library identification, a match and reverse match > 700 and % probability > 70% were marked as correct. Those metabolites with a probability < 70% but a match and a reverse match > 700 were marked as unknown but included in the final analysis. Most probable IDs were included and metabolomic experiments were done by triplicate and independently.

Statistical analyses

For PCA, heatmap, hierarchical clustering, and fold change analysis, the data was sum normalized. The internal standard normalization (employing tridecanoic acid) shown similar results. Only those metabolites with fold change > 2 and p < 0.05 controlled by FDR were considered significant.

For multivariate analysis (PLS-DA), the data was normalized by sum, mean centered and log transformed in Metaboanalyst 4.0. Metabolic pathway analysis and enrichment pathway analysis were performed in Metaboanalyst 4.0 employing the KEGG Arabidopsis library.

For all other results, data are presented as mean + S.E.M of at least 3 independent biological replicates. Statistical evaluation between 2 groups was performed by unpaired t-tests and a P value < 0.05 was considered as criteria of significance.

Results

Intracellular calcium transport and mitochondrial polarization in digitonin-permeabilized protoplasts and leaf mesophylls

Protoplasts isolated from Arabidopsis thaliana leaf mesophylls represent a useful model to study intracellular processes.Citation34 To understand the contribution of MCU-dependent intracellular calcium transport in an in-situ setting, we first decided to test whether digitonin addition could efficiently permeabilize protoplast plasma membranes (). Under such conditions, addition of membrane-impermeable Evans Blue resulted in an efficiently stained cytoplasm, while chloroplast morphology remained unaffected. Intact and permeabilized isolated leaf mesophyll protoplasts were able to establish a mitochondrial membrane potential (ΔΨ) as assessed by rhodamine 123 staining in the presence of respiratory substrates (). We next decided to test the contribution of MCU on the overall intraorganellar calcium transport activity by monitoring changes in cytoplasmic calcium-dependent Calcium Green 5N fluorescence in the absence or presence of the MCU inhibitor RuR (). As previously reported,Citation39 in situ transport was assessed after the addition of an initial calcium bolus (evidenced as a fluorescence peak) and monitored through a decrease in fluorescence. A steady, yet slow calcium uptake phenotype was detected in permeabilized protoplasts in the absence of RuR (, blue trace). In the presence of 2 μM RuR however, calcium transport was significantly -but not completely- decreased (, C, yellow trace/bar).

Figure 1. Digitonin-induced membrane permeabilization and intracellular calcium transport in isolated protoplasts from A. thaliana. (a) protoplasts (2 × 10.Citation5 were isolated as detailed in the methods section and incubated in PAB buffer with 10 mM succinate plus 1% Evans blue or 1 μM rhodamine 123 under control conditions or in the presence of 0.01% digitonin for 5 minutes. Cytoplasmic staining or mitochondrial membrane potential were assessed under the microscope. (b) permeabilized protoplasts (2 × 10.Citation5 were incubated with 2 μM calcium Green-5N and challenged with a single 100 μM CaCl2 pulse (arrow). Calcium uptake dynamics were then assessed for 2000s in the absence (blue trace) or presence (yellow trace) of 2 μM RuR. (C) relative calcium uptake rates were normalized under control conditions (Col-0) and compared to those in the presence of RuR. Data are presented as mean ± SEM. *p ≤ 0.05 for control versus RuR with n ≥ 4 with separate protoplast preparations in different experiments. Bar = 5 μm.

Figure 1. Digitonin-induced membrane permeabilization and intracellular calcium transport in isolated protoplasts from A. thaliana. (a) protoplasts (2 × 10.Citation5 were isolated as detailed in the methods section and incubated in PAB buffer with 10 mM succinate plus 1% Evans blue or 1 μM rhodamine 123 under control conditions or in the presence of 0.01% digitonin for 5 minutes. Cytoplasmic staining or mitochondrial membrane potential were assessed under the microscope. (b) permeabilized protoplasts (2 × 10.Citation5 were incubated with 2 μM calcium Green-5N and challenged with a single 100 μM CaCl2 pulse (arrow). Calcium uptake dynamics were then assessed for 2000s in the absence (blue trace) or presence (yellow trace) of 2 μM RuR. (C) relative calcium uptake rates were normalized under control conditions (Col-0) and compared to those in the presence of RuR. Data are presented as mean ± SEM. *p ≤ 0.05 for control versus RuR with n ≥ 4 with separate protoplast preparations in different experiments. Bar = 5 μm.

We next sought to assess potential changes in the calcium transport activity of permeabilized protoplasts isolated from micu-1 leaf mesophylls (). Protoplasts from this mutant plant showed significantly enhanced calcium transport rates (). These changes were not related to alterations in mitochondrial ΔΨ since we monitored no apparent changes in leaf mesophyll mitochondrial polarization under baseline conditions on both Col-0 and micu-1 plants before or after isolating protoplasts ().

Figure 2. Effects of AtMICU gene knockout on calcium transport and mitochondrial ΔΨ. (a) protoplasts from Col-0 and micu-1 leaf mesophylls were isolated as detailed in the methods section and relative calcium uptake rates were measured for Col-0 protoplasts and compared to those obtained with protoplasts isolated from micu-1 leaf mesophylls. Data are presented as mean ± SEM. *p ≤ 0.05 for Col-0 versus micu-1 with n ≥ 4 with separate protoplast preparations in different experiments. (b) leaves were stained as detailed in the mitochondrial polarization assessment in Col-0 and micu-1 plants section. Isolated protoplasts were stained with rhodamine 123 as in fig. 1. Representative images N = 3. Bar = 5 μm.

Figure 2. Effects of AtMICU gene knockout on calcium transport and mitochondrial ΔΨ. (a) protoplasts from Col-0 and micu-1 leaf mesophylls were isolated as detailed in the methods section and relative calcium uptake rates were measured for Col-0 protoplasts and compared to those obtained with protoplasts isolated from micu-1 leaf mesophylls. Data are presented as mean ± SEM. *p ≤ 0.05 for Col-0 versus micu-1 with n ≥ 4 with separate protoplast preparations in different experiments. (b) leaves were stained as detailed in the mitochondrial polarization assessment in Col-0 and micu-1 plants section. Isolated protoplasts were stained with rhodamine 123 as in fig. 1. Representative images N = 3. Bar = 5 μm.

Metabolomics assessment in col-0 and micu-1 leaf mesophyll extracts

Considering the results presented above showing altered calcium handling in leaf protoplasts from micu-1 plants, plus those previously published highlighting the occurrence of mitochondrial ultrastructural alterations in the absence of AtMICU,Citation30 we sought to determine potential compensatory changes in the metabolism of leaves and roots allowing plants to develop with relative normalcy. While we did not monitor substantial changes on the overall metabolic profile in root extracts from micu-1 plants (results not shown), we detected variations in several leaf metabolites of micu-1 plants when compared to its isogenic Col-0 counterpart (). The results effectively dichotomize the levels of several metabolites between the Col-0 and micu-1 groups in terms of hierarchical clustering and partial least squares discriminant analysis (PLSDA) (Fig. S2A and B). The variable importance in the projection values show the amino acids and carbohydrates that significantly discriminate in samples from both plant genotypes (Fig. S2B). Our metabolomic approach is robust to quantify the metabolites included in the final analysis as determined by the compact cluster of quality control (QC) samples in the principal component analysis (PCA) assessment (Fig. S3). All significant changes (FC > 2 and p < 0.05) in metabolite levels are summarized in Supplementary Table S1. Metabolic pathway analysis and enrichment pathway analysis of metabolites with significant changes suggest that valine, leucine, isoleucine, phenylalanine, tyrosine, tryptophan, alanine, aspartate, glutamate and aminoacyl-tRNA biosynthesis metabolism is altered in samples from micu-1 plants (. In line with this, aromatic amino acid precursor shikimic acidCitation40 was found at increased concentrations in micu-1 plants ().

Figure 3. Metabolomics assessment of Col-0 versus micu-1 leaves. heatmap representation and clustering analysis of differential metabolites detected between Col-0 (blue bar heading) and micu-1 (yellow bar heading) extracts. Only metabolites with p <0.05 values as assessed by ANOVA are shown. For Col-0 and micu-1 metabolite sample groups N = 3 and n = 6.

Figure 3. Metabolomics assessment of Col-0 versus micu-1 leaves. heatmap representation and clustering analysis of differential metabolites detected between Col-0 (blue bar heading) and micu-1 (yellow bar heading) extracts. Only metabolites with p <0.05 values as assessed by ANOVA are shown. For Col-0 and micu-1 metabolite sample groups N = 3 and n = 6.

Figure 4. Significant pathway mapping based on the Arabidopsis thaliana metabolite library (KEGG). (a) Enriched metabolite sets and b) pathway analysis of differential metabolomic profiles between Col-0 and micu-1 leaf mesophyll extracts. Only those metabolic pathways with p < 0.05 are depicted.

Figure 4. Significant pathway mapping based on the Arabidopsis thaliana metabolite library (KEGG). (a) Enriched metabolite sets and b) pathway analysis of differential metabolomic profiles between Col-0 and micu-1 leaf mesophyll extracts. Only those metabolic pathways with p < 0.05 are depicted.

Furthermore, significant decreases on several carbohydrates in the micu-1 context, involving threose derivative threonic acid were also evident. Desiccation-related galactinol.Citation41 was also found at lower levels and chlorophyll related phytol was significantly upregulated ().Citation42–44

Krebs cycle intermediates including succinic and citric acids were found at significantly higher levels in extracts from micu-1 leaves (Table S1). Finally, other metabolites known for its effects on plant growth, stress tolerance and catabolism including GABA,Citation45 prolineCitation46 and ureaCitation47 were significantly accumulated in micu-1 plants (, Table S1).

Discussion

The interrelations of several metabolic pathways with MCUc-mediated calcium transport are well documented in mammalian mitochondria.Citation48,Citation49 In line with this, Nemani and collaborators found that fluctuations in mitochondrial metabolism can alter MCUc composition and activity.Citation50 Mammalian cells may achieve this either by regulating the expression levels of the MCUc ‘gate-like’ subunit MICU1 in a Krebs cycle- and EGR1-dependent mannerCitation50 or through Akt-dependent MICU1 phosphorylation.Citation49,Citation51 Hence, deletion or silencing of MICU1 exacerbates mitochondrial matrix ɑ-ketoglutarate utilization and NAD(P)H production in HEK293 cellsCitation52 yet decreases ATP production in diverse contexts.Citation52,Citation53 Mammalian MICU1 is also considered a ‘plug’ regulating calcium fluxes upon methylation by PRMT1 during aging or cancer.Citation54

Less is known about the molecular cues controlling organellar calcium levels relevant to the overall homeostasis of this cation. However, several transporters mediating calcium import into mitochondria and chloroplasts have been identified.Citation1,Citation55 For example, plants lacking MCU1 or MCU2 have been shown to be involved in physiological processes including root and pollen tube growth, as well as stomata-mediated drought stress tolerance.Citation12,Citation29,Citation31 Some of these changes are derived from the presence of an MCUc located in the chloroplast inner envelope membranes.Citation12 Whether the changes reported herein are derived from the effects of AtMICU on every or specific MCUc isoforms remains to be tested. Moreover, AtMICU has been shown to be relevant for efficient control of calcium fluxes into the mitochondrial matrix and for the maintenance of the ultrastructural features of these organelles.Citation30 In agreement with previously reported results,Citation31 we found that the absence of AtMICU results in increased intraorganellar calcium uptake. We also monitored metabolic differences between both genotypes, being most evident at the carbohydrate and amino acid levels. Decreased carbohydrate concentrations could well mean metabolic fluxes are shifted toward respiratory substrate production in micu-1 plants. Indeed, TCA cycle succinate and citrate were upregulated in the micu-1 context further indicating carbohydrate carbon scaffolds may accumulate either as mitochondrial intermediates or other carbon skeletons. Lipids such as stearic acid were also significantly upregulated in the micu-1 context. This is of special relevance considering previous studies by Fatland and colleagues linking cytoplasmic ATP-dependent citrate lyase with isoprenoid and fatty acid biosynthesis.Citation56 These results are also consistent with the increased concentrations of phytol and stearic acid reported herein. Several amino acid levels were also significantly upregulated, indicating transamination reactions may also be of utmost importance when MCUc-dependent calcium flux is exacerbated (i.e. in the absence of regulatory AtMICU). Considering shikimate levels are upregulated in micu-1 plants, it is also tempting to speculate that AtMICU-dependent calcium overload can activate shikimate pathway from PEP, thus yielding increased levels of aromatic Phe and Tyr.Citation57 The fate of such metabolites could well suggest increased salicylate signaling.Citation58,Citation59 Among other metabolites with increased levels, GABA is of special relevance since its accumulation has been associated with the overexpression of anion transporters resulting in changes in pollen tube and root growth,Citation60 which would fit with previous findings.Citation29

One interesting -yet unexpected- result was the detection of increased phytol levels in micu-1 plants. This terpene is a known chlorophyll metabolism intermediate and may indicate either leaf senescence or enhanced tocopherol synthesis.Citation43,Citation44 We did not monitor any senescent phenotype in micu-1 plants, and chronic mitochondrial calcium elevation is a known leaf senescence suppressor.Citation61 In addition, increased calcium levels can induce de-etiolation and chlorophyll accumulation in A. thaliana.Citation62 Thus, potential remobilization of phytol from chlorophyll breakdown could well end up in exacerbated tocopherol biosynthesis and enhanced resistance to photooxidative stress.Citation43,Citation63 This hypothesis fits well with the enhanced shikimic acid levels found in micu-1 plants. In addition, enhanced phytol and shikimic acid pathway metabolites (Tyr and Phe) are required for tocopherol production in a phytol kinase-dependent manner.Citation44,Citation64 Whether any of these possibilities occur in the micu-1 context remains to be tested.

In this study, we also detected significantly higher serine levels in micu-1 plants. Serine is biosynthesized through HPR1-dependent photorespiration (glycolate pathway), the glycerate pathway and the ‘phosphorylated pathway’ in C3 plants like Arabidopsis.Citation65,Citation66 The latter contributes to a substantial extent to serine production and when genetically suppressed, a strong accumulation of amino acids and ammonium is detected.Citation65 Conversely, Timm and colleagues showed that when photorespiration is inhibited through HPR1 deletion, plants accumulate serine.Citation67 The third and last known mechanism for serine biosynthesis in plants is the glycerate pathway.Citation66 This metabolic route occurs in the cytoplasm in parallel with glycolysis and requires glycerate and alanine. We did monitor exacerbated levels of both glycerate and alanine in parallel with decreased carbohydrate in the micu-1 context under these conditions. Hence, it is tempting to speculate that exacerbated calcium signaling activates serine biosynthesis through all serine biosynthesis pathways. Such alterations in serine levels are also likely to further contribute to the changes in metabolism described herein.

The potential metabolic consequences derived from genetic elimination of AtMICU are summarized in and can be described as follows: In the presence of exacerbated calcium signaling due to the absence of AtMICU, oxidative metabolism is increased yielding reduced levels of carbohydrates, enhanced TCA cycle intermediates and other end products including amino acids. Indeed, Wagner and collaborators have detected an increased capability of micu-1 plants to oxidize pyruvate/malate.Citation30 Furthermore, the accumulation of signaling amino acids such as GABA could contribute to a constitutive state characterized by altered growth likely through regulating the expression levels of anion transporters including those for malate.Citation45,Citation69 Whether these transporters or other proteins involved in the transport or metabolism of citrate or succinate -both of which were found at enhanced levels in micu-1 plants- remains to be tested. The results presented herein provide initial insight into the link between MCU-dependent calcium transport and its impact on the metabolism of A. thaliana. Further characterization of such changes at different ‘omic’ levels and on different genetic backgrounds is a work in progress in our laboratories.

Figure 5. Potential metabolic consequences derived from genetic elimination of AtMICU. the levels of selected metabolites in micu-1 plants as compared with Col-0 controls are shown. Upregulated metabolites are shown in red alongside its fold changes in parenthesis. Downregulated metabolites are shown in blue alongside its fold change decrease. Dotted lines represent reduced metabolic fluxes. Proposed metabolite fluxes in micu-1 plants were retrieved from the KEGG metabolite library and from selected sources.Citation66,Citation68

Figure 5. Potential metabolic consequences derived from genetic elimination of AtMICU. the levels of selected metabolites in micu-1 plants as compared with Col-0 controls are shown. Upregulated metabolites are shown in red alongside its fold changes in parenthesis. Downregulated metabolites are shown in blue alongside its fold change decrease. Dotted lines represent reduced metabolic fluxes. Proposed metabolite fluxes in micu-1 plants were retrieved from the KEGG metabolite library and from selected sources.Citation66,Citation68

Abbreviations

MCU=

mitochondrial calcium uniporter

MCUc=

mitochondrial calcium uniporter holocomplex

MICU=

mitochondrial calcium uniporter regulator

PAB=

protoplast assay buffer

PCA=

principal component analysis

PLS-DA=

partial least squares-discriminate analysis

PES=

protoplast enzyme solution

ROS=

reactive oxygen species

RuR=

ruthenium red

TCA=

tricarboxylic acid cycle

Author contributions

ER G-M, R R-R and C L-A performed investigation, conceptualization, and methodology.

JM G-A provided resources and supervision.

JC P-F provided project conceptualization, valuable methodology, software, data validation, formal analysis, investigation, data curation and aided during the writing process of the original draft.

M G-A Performed experimental conceptualization, supervision, project administration, funding acquisition, formal analysis, writing the original draft, manuscript review & editing.

Supplemental material

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Acknowledgments

The technical support of Karina Jiménez Durán at Unidad de Servicios de Apoyo a la Investigación y a la Industria (USAII, F.Q., UNAM) is acknowledged. The authors thank Esmeralda Mandujano-Nava and Israel González Vizueth for performing imaging experiments. Xóchitl Pérez-Martinez and César Cuevas-Velázquez provided useful conceptual feedback for the completion of this study. We thank the Salk Institute Genomic Analysis Laboratory for providing the sequence-indexed Arabidopsis TDNA insertion mutant strain.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/15592324.2023.2271799.

Additional information

Funding

This work was supported by Dirección de Asuntos del Personal Académico (DGAPA) grant Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica (PAPIIT) IA208121 and UNAM-FQ-PAIP 5000-9171 (to M.G.-A.).

References