Abstract
Autophagy is an essential system for degrading and recycling cellular components for survival during starvation conditions. Under sucrose starvation, application of a papain protease inhibitor E-64d to the Arabidopsis root and tobacco BY-2 cells induced the accumulation of vesicles, labeled with a fluorescent membrane marker FM4-64. The E-64d–induced vesicle accumulation was reduced in the mutant defective in autophagy-related genes ATG2, ATG5, and ATG7, suggesting autophagy is involved in the formation of these vesicles. To clarify the formation of these vesicles in detail, we monitored time-dependent changes of tonoplast, and vesicle accumulation in sucrose-starved cells. We found that these vesicles were derived from the tonoplast and produced by microautophagic process. The tonoplast proteins were excluded from the vesicles, suggesting that the vesicles are generated from specific membrane domains. Concanamycin A treatment in GFP-ATG8a transgenic plants showed that not all FM4-64–labeled vesicles, which were derived from the tonoplast, contained the ATG8a-containing structure. These results suggest that ATG8a may not always be necessary for microautophagy.
Introduction
Autophagy is one of the cellular degradation systems in eukaryotes that removes unwanted or toxic cellular components. Among several autophagic pathways, macroautophagy is well-studied and widely known; the term “autophagy” refers to macroautophagy in many cases. In the macroautophagy, cytosolic components are surrounded by a double-layered isolation membrane to form an autophagosome. The isolated cytosolic components in the autophagosomes are transported to vacuoles (yeasts and plants) or fused to lysosomes (animals), and then degraded by enzymes in these lytic organelles (). Macroautophagy was initially identified as a starvation-induced response in yeast in which macroautophagy recycles carbon and nutrients to survive starvation (). In the macroautophagy process occurring in starvation, cellular components are non-selectively engulfed by autophagosome membranes for degradation. On the other hand, numerous recent reports demonstrated the phenomenon of selective macroautophagy, which functions toward selected targets such as damaged organelles and aggregated proteins (). Many autophagy-related (ATG) genes have been identified from yeast studies. The homologous genes responsible for core macroautophagic machinery are functionally conserved in plants (Yoshimoto, 2012).
In the case of “micro”-autophagy, the cellular contents are directly taken up into vacuoles by protrusion or invagination of vacuolar or lysosomal membranes. This mechanism is well reported in yeast species (; Uttenweiler et al., 2005; ). Recent studies demonstrated the existence of microautophagy in mammalian cells, and its ability to directly engulf endosomes, lipid droplets, and organelles into the lysosome/vacuole. In Arabidopsis, anthocyanin aggregates in the cytosol are captured and transported into the vacuole by microautophagy. During this microautophagy process, anthocyanin aggregates are surrounded by protrusions of the vacuolar membrane (tonoplast) in an ATG-independent manner (). Additionally, whole chloroplast degradation, namely chlorophagy, proceeds via microautophagy; damaged and swollen chloroplasts exposed to excess light are directly engulfed by the tonoplast. Unlike the case of anthocyanin aggregates, this process requires ATG5 and ATG7 genes (). Thus, the importance of ATGs in microautophagy is unclear and is therefore necessary to address in more detail.
As mentioned above, autophagy serves in removing anomalies and maintaining cell homeostasis in plants, as well as yeasts and mammals. Abnormal chloroplasts and dysfunctional mitochondria are the targets for autophagy, and a part of the endoplasmic reticulum (ER) is discarded via autophagy during ER stress (; ; ). We have found that autophagy is also responsible for peroxisome quality control. Peroxisomes are ubiquitous organelles that are found in eukaryotic cells. We isolated peroxisome unusual positioning (peup) mutants which have an excess number of peroxisomes, and found that peup1, peup2, and peup4 mutants have a defect in ATG2, ATG18a, and ATG7, respectively (). In these mutants, peroxisomes are more oxidized compared with that in the wild-type plants. Because several oxidases, such as acyl-CoA oxidases and glycolate oxidase, are involved in peroxisomal metabolic pathways, hydrogen peroxide is produced as a by-product of these enzymes in peroxisomes (; ; ). Due to hydrogen peroxide, peroxisomes are continuously oxidized and damaged. Our study indicated that highly oxidized whole peroxisomes are eliminated by autophagy, namely pexophagy, although some damaged peroxisomal proteins are maintained by chaperone function of peroxisomal Lon protease 2 (LON2) (; ). The increased number of peroxisomes in the peup mutants is caused by the defect of autophagy. Therefore, we expected that the rest of the peup mutants, which also show excess peroxisomes, were also defective in autophagy/pexophagy.
To identify the genes that are involved in autophagy/pexophagy, we analyzed new peup mutants and determined the causative genes by whole-genome sequencing combined with map-based cloning. During this procedure, we used the rapid and straightforward determination of autophagy mutants; the absence of the aggregation of vesicles formed in root tip cells, which are induced by E-64d, which is an inhibitor for papain family protease (e.g. papain, cathepsin and, calpain), and visualized with FM4-64 dye. FM4-64 is a useful dye to visualize tonoplast; FM4-64 stains the plasma membrane passes through endosomes and then stains the tonoplast (Vida and Emr, 1995; ). Previously, we reported that applying E-64d with FM4-64 to BY-2 cells and Arabidopsis roots induced the aggregation of FM4-64–stained vesicles besides the vacuole under starvation (Yamada et al., 2005). Moriyasu et al. reported that applying E-64d to BY-2 cells induced acidic vesicle aggregation (). They also showed that applying E-64d to Arabidopsis root tips induced the aggregation of acidic compartments, which were stained with neutral red, and the formation of the aggregates of acidic vesicles was suppressed in the roots of Arabidopsis atg2 and atg5, but it was not apparent in atg9 (). Both BY-2 and Arabidopsis studies showed that sucrose starvation accelerated the formation of aggregates of both FM4-64–stained vesicles and acidic vesicles (; Yamada et al., 2005; ). Therefore, we expected that the vesicles stained with FM4-64 correlated to the acidic compartments and were related to autophagic machinery.
In this study, we first describe the procedure for identifying the causative genes in peup17 and peup22 mutants. Under starvation with the E-64d treatment, these mutants are defective in accumulation of vesicles in root cells. The peup17 and peup22 mutants are novel mutant alleles of atg5 and atg7, respectively. In addition, we demonstrate that the vesicles are formed from the tonoplast, in a way similar to microautophagy, and that these vesicles do not contain tonoplast proteins. The vesicles capture cytosolic components and GFP-ATG8a–labeled autophagosomes, although not all vesicles inside the vacuole contain the ATG8a-containing structure. Our results provide further evidence that plants possess microautophagy and should improve our understanding on the fundamental processes of autophagy in plants.
Materials and Methods
Plant Materials and Growth Conditions
Arabidopsis (Columbia accession) and transgenic Arabidopsis expressing GFP in the peroxisome (GFP-PTS1) were used as the wild-type background (; ). Arabidopsis mutants peup1-1, peup2, and peup4 were also used (). T-DNA insertion mutants of atg5-1 (SAIL_129B07, Thompson et al., 2005) and atg7-2 (GK-655B06, ) were obtained from the Arabidopsis Biological Resource Center (ABRC) and Nottingham Arabidopsis Stock Centre (NASC). The T-DNA insertions were confirmed by genome PCR using a gene-specific primer and a T-DNA primer as described in previous publications. The homozygous ap2m-2 (SAIL_165_A05, Yamaoka et al., 2013) and ap2s-1 (SALK_141555, ) mutants were provided by Dr. Shimada (Kyoto University, Japan). Organelle visualized lines, mGFP-VAMP713 and GFP-ARA7, and GFP-SYP43 were kindly provided from Dr. Ueda (NIBB, Japan) and Dr. Uemura (Ochanomizu University, Japan), respectively. 35Spro : GFP-ATG8a plants (N39996) were obtained from NASC (Thompson et al., 2005). To produce Venus-VAM3 transgenic plants, the Venus-VAM3/SYP22 pGWB1 plasmid () was transformed into wild type Col-0 mediated by Agrobacterium tumefaciens (strain GV3101) using the floral dip method (). All plants were germinated aseptically at 22°C under continuous light (∼100 µmol m−2 s−1) on 0.5× Murashige–Skoog (1/2 MS) growth media containing 0.4% (w/v) Gellan Gum (Wako, Tokyo, Japan), 0.5% (w/v) MES-KOH buffer (pH 5.7), 1% (w/v) sucrose, and 0.5× Murashige and Skoog salts mixture (Wako). For the sucrose-starvation test, sucrose was removed from the growth media.
Identification of PEUP17 and PEUP22 Genes With Map-Based Cloning and Next-Generation Sequencing
The peup17 and peup22 (Col background) were crossed with Landsberg erecta (Ler) to produce F1 and subsequently F2 progenies. A total of 47 or 20 F2 progenies expressing the peup17 or peup22 phenotypes, respectively, were scored according to their genetic background, as determined by a series of simple sequence length polymorphism (SSLP) markers () which includes NARAMAP markers kindly provided by Dr. Tasaka (Nara Institute of Science and Technology, Japan) and Dr. Morita (National Institute for Basic Biology, Japan). Rough mapping located the PEUP17 locus between the T9L3 and MPI7 BACs on chromosome 5, and the PEUP22 locus between the marker NGA76 and the BAC MSN2 on chromosome 5.
To perform whole-genome sequencing, genomic DNA of peup17 and peup22 mutants were isolated using a DNeasy Plant Mini Kit (Qiagen). After shearing gDNA into 300–400 bp, library construction was performed as described in the TruSeq (Illumina, San Diego, CA, USA) manual. The libraries were sequenced on the HiSeq1500 (HO mode) with 101 bp paired-end reads. The sequenced data were mapped to the Arabidopsis thaliana genome reference TAIR10 with Bowtie2 (). Polymorphisms were called with SAMtools mpileup () and filtered with a parameter varFilter -D100. Detected polymorphisms were annotated with SnpEff (). The polymorphisms affecting amino acid sequence (non-synonymous mutations, stop-gained mutations, and mutations on splice donor/receptor sites) were searched in the regions restricted from the map-based cloning and 9 and 35 polymorphisms were listed in peup17 and peup22, respectively.
Allelism tests were performed to confirm causative genes of peup17 and peup22 are ATG5 and ATG7, each peup mutant was crossed with atg5-1 and atg7-2, respectively, and the phenotypes of obtained F1 progenies were assessed.
Chemicals and Fluorophores
FM4-64 and BCECF-AM were purchased from Thermo Fisher Scientific (CA, USA). E-64d and concanamycin A (ConA) were purchased from Sigma-Aldrich (MI, USA). These chemicals were prepared as stock solutions in dimethyl sulfoxide (DMSO). Quinacrine was purchased from Nacalai Tesque (Kyoto, Japan) and prepared as stock solutions in distilled water. The stock solutions (1.65 mM FM4-64, 1.13 mM BCECF-AM, 10 mM E-64d, 100 µM ConA, and 8 mM quinacrine) were stored at −20°C.
Treatment of Arabidopsis Seedlings
In Figures 1, 2, and 4, and Supplementary Figures 3 and 5, FM4-64 staining, E-64d treatment, and the induction of starvation were applied at the same time; 4- to 6-day-old seedlings grown on growth media are transferred to the FM4-64/E-64d solution (4 µM FM4-64 and 5 µM E-64d), and root cells were observed at 24 h. In other figures, seedlings were pre-stained before the treatment of inhibitors and the induction of starvation as shown below. Four- to 6-day-old Arabidopsis seedlings grown on growth media were transferred to the liquid 1/2 MS media containing 1% (w/v) sucrose [1/2 MS (+suc)] and 4 µM FM4-64. The seedlings in solution were covered by tin foil and kept at 22°C in the dark for 6–16 h. Then, FM4-64 dye was washed out with the incubation in 1/2 MS (+suc) for 2 h to stain only the tonoplast. The seedlings were briefly rinsed with the 1/2 MS media without sucrose [1/2 MS (−suc)] and transferred to the new 1/2 MS (−suc) to induce starvation concomitant with 5 µM E-64d or 0.5 µM ConA applying. For the mock treatment, DMSO was used instead of E-64d and ConA. After treatment, seedlings were mounted on glass slides and observed under a confocal microscope.
Figure 1
Figure 2
Figure 3

autophagy-related phenotypes in the peup mutants. (A) Immunoblot analysis of the peup and atg mutants. Crude protein extracts of the WT, atg5-1, peup17, atg7-2, and peup22 from 7-day-old seedlings were subjected to SDS-PAGE and immunoblot analysis with anti-ATG5, and anti-ATG7, antibodies. Equal protein loading was confirmed by immunoblot analysis with Coomassie Brilliant Blue (CBB) staining. An asterisk indicates unknown bands specific to the anti-ATG7 antibody. (B) Senescence phenotypes of the peup and atg mutants. Arabidopsis seedlings were grown on sucrose deprivation media for 7 days and transferred to the darkness for 8 days. Photos were taken before and after 8 days of dark treatment and carbon deprivation. (C) Chlorophyll content in the WT and mutants. Chlorophylls were extracted from five seedlings, and six biological repeats were prepared for each plant lines. Chlorophyll content in WT was set as 1.0. Bar = ± SE, n = 6.
Figure 4

The phenotypes in E-64d vesicle formation in WT and atg mutants. (A) Inverted confocal micrographs of FM4-64 signals from 6-day-old seedlings treated with or without E-64d for 24 h under starvation. Images of the wide area from three replicates were shown in Supplementary Figure 5. Bar = 20 µm. (B) Quantification analysis of the area of aggregates in the WT and mutants upon E-64d treatment for 24 h. The area size per cell (µm2/cell) was obtained from ImageJ software. For making the graph, 8–10 cells from the transition zone were used in each plant, and three plants were used for each line. Bar = ± SE.
Treatment of Tobacco Culture Cells
Suspension-cultured cells of tobacco BY-2 (Nicotiana tabacum cv Bright Yellow 2) were cultured in MS medium with 3% (w/v) (87.6 mM) sucrose in an orbital shaker at 140 rpm and 26°C in the dark. The cells were transferred to new medium at 1-week intervals.
Tonoplasts and E-64d vesicles were visualized essentially as described by Yamada et al. (2005). To stain tonoplasts with FM4-64, 3-day-old cells were incubated with culture medium containing 8 µM of FM4-64 for 1 day. After confirming that all FM4-64 are observed tonoplast under a microscope, the cells were collected by centrifugation at 100 × g for 2 min. The cell pellets were resuspended in new MS medium containing 87.6 mM of mannitol and no sucrose (sucrose-free medium). After an additional centrifugation step, the cells were suspended in two volumes of the original culture medium. E-64d (10 µM) was added to 1 ml of cell suspension in a 50 ml Falcon tube. ConA (100 nM) was added to inhibit V-ATPase. The culture was shaken at 140 rpm on an orbital shaker at 26°C in the dark. After the incubation, we added quinacrine (1.6 mM) or BCECF-AM (6 µM) to the culture medium to stain vacuoles and acid vesicles. After 5 min, the cells were washed several times with 5 mM HEPES-Na (pH 7.5) containing 0.1 M sorbitol and then observed under a confocal microscope. The number of BCECF-stained acid granules were counted from more than 15 cells on confocal images and graphed in Supplementary Figure 6.
Confocal Laser-Scanning Microscopy
Arabidopsis seedlings and leaves were observed with confocal laser scanning microscopes (LSM880, Carl Zeiss). The GFP signal was observed by excitation with an Argon laser at 488 nm and detection between 493 and 598 nm. Chlorophyll signal was detected by excitation with a HeNe laser at 633 nm and detection at 638–722 nm. The FM4-64 signal was observed by excitation with a 514 nm Argon laser and detection at 592–759 nm. For simultaneous detection of FM4-64 and Venus, the 514 nm laser was used for the excitation and detected between 519 and 573 nm and 698 and 759 nm for Venus and FM4-64, respectively. For measuring the area of aggregates of E-64d vesicles, we used ImageJ software (https://imagej.nih.gov/ij/). For making the graph, 8–10 cells from the transition zone were used in each plant, and three plants were used for each line.
The double-stained BY-2 cells (FM4-64 and BCECF-AM or quinacrine) were observed with an Axiophoto microscope (Carl Zeiss, Jena, Germany) equipped with a confocal laser-scanning microscopy unit (CSU10/UZ, Yokogawa, Japan), a 488 nm LED laser (Sapphire 488-20, Coherent, Santa Clara, CA), and the appropriate filter set. Images were acquired with a CCD camera (DXM1200, Nikon, Japan).
RT-PCR
Total RNAs were isolated from Arabidopsis seedlings with Trizol (Thermo Fisher Scientific) and 1 µg of total RNA was used to synthesize first-strand cDNA with Ready-to-Go RT-PCR beads (GE Healthcare, USA) and poly dT primers. The cDNA was used as a template of the PCR to amplify a part or a whole sequence of ATG5 or ATG7 cDNA with specific primer sets (Supplementary Table 1). PCR products were separated by agarose gel electrophoresis.
Immunoblot Analysis
Arabidopsis seedlings were homogenized with extraction buffer containing 20 mM Tris-HCl, pH 6.8, 10% (v/v) β-mercaptoethanol, 2% (w/v) SDS, and 24% (v/v) glycerol. Homogenates were centrifuged at 20,000 × g for 10 min, and supernatants were boiled at 95°C for 5 min. Proteins were separated with SDS-PAGE and transferred to a polyvinylidene fluoride membrane (Millipore, USA) in a semidry electroblotting system. The membranes were subjected to immunoblot analysis using anti-ATG5 (AS15 3060, Agrisera, 1:5,000 dilution), and anti-ATG7 (AS15 3061, Agrisera, 1:5,000 dilution) with Can Get Signal solution (TOYOBO, Japan). Immunoreactive bands were detected by monitoring the activity of a horseradish peroxidase–coupled antibody against rabbit IgG (G-21234, Thermo Fisher Scientific, USA) and SuperSignal West Femto (Thermo Fisher Scientific).
Chlorophyll Measurement
Chlorophyll contents were measured as described by
Measurement of the Fluorescence Intensity
Vesicles in the vacuole were selected with the command Analyze Particle in ImageJ software. Then, GFP-ATG8a fluorescence was measured in the FM4-64–labeled vesicles. Autophagosomes in the cytosol were directly selected, and the intensities were measured. For the measurement of cytosolic intensity, three to five points were randomly chosen from the cytosolic area. The mean of these cytosolic intensities was used for normalization of signal intensity in a cell. Bars above the plots indicate mean ± SD, and the mean and standard deviations were calculated based on binary logarithm transformation. Total 23 cells from more than six plants were analyzed.
Accession Numbers
Sequence data from this article can be found in the Arabidopsis Genome Initiative databases under the following accession numbers: At3g19190 (PEUP1/ATG2), At3g62770 (PEUP2/ATG18a), At5g45900 (PEUP4/PEUP22/ATG7), At5g17290 (PEUP17/ATG5), At4g21980 (ATG8a), At5g46630 (AP2M), At1g47830 (AP2S), At5g46860 (VAM3/SYP22), At3g05710 (SYP43), At4g19640 (ARA7), and At5g11150 (VAMP713).
Results
The peup17 and peup22 Mutants, as Well as the atg Mutants, Show Defects in Accumulation of E-64d Vesicles
We have previously shown that the peup mutants were isolated from the ethylmethane sulfonate (EMS)–mutagenized parental plants that express a peroxisome marker GFP-PTS1 in the background of Arabidopsis accession Columbia (
The wild-type root formed a huge aggregate in each cell after treatment with E-64d and FM4-64 under sucrose starvation for 24 h; the formation of aggregates was as hard at the tip of the root and moderate toward the top, and the mock treatment with FM4-64 rarely produced aggregates in the root tip (Figure 1A). These aggregates were composed of many vesicles (Figure 1B). In the peup1/atg2 and peup4/atg7 mutants, the accumulation of E-64d–induced vesicles (hereafter called E-64d vesicles) was lower than that observed in the wild-type plants (Figure 1C). To assess whether E-64d and FM4-64 treatment was able to distinguish new peup mutants from wild-type plants, we treated peup17 and peup22 mutants with the compounds and observed the phenotype. Similar to peup1 and peup4, the suppression of aggregates was observed in peup17 and peup22 (Figure 1C). The peup2/atg18a roots formed the aggregates of E-64d vesicles, although the number of vesicles was fewer than those in the wild-type (Figure 1C). To verify whether the vesicles are peroxisome-related structures, we observed the subcellular localization of peroxisomes and E64d vesicles in root cells. Peroxisomes were neither localized at E64d vesicles nor the vesicle aggregates (Supplementary Figure 2), suggesting that these vesicles are not related to peroxisome degradation in the root tip cells. To assess whether the formation of E-64d vesicles is related to clathrin-dependent endocytosis, we treated the ap2m-2 and ap2s-1 mutants, which are defective in the components of the AP2 clathrin adaptor complex, µ- and σ-subunits, respectively (Supplementary Figure 3,
Whole-Genome Sequencing and Map-Based Cloning Identified peup17 and peup22 as a New Allele of the atg5 and atg7 Mutants
We used E-64d vesicle phenotypes to rapidly and straightforwardly judge the mutant phenotype for the map-based determination of the responsible locus. We crossed the peup mutants with Ler plants and separated mutant plants from the F2 progenies based on the phenotype upon E-64d and FM4-64 treatment. Then, we combined the map-based cloning and whole-genome sequencing to find the responsible genes in these mutants (Figure 2A and Table 1). The mapping identified the PEUP17 locus in the 1.1 Mb length region on chromosome 5, which was mapped between the T9L3 and MPI7 bacterial artificial chromosome (BAC) clones using 47 F2 mutant plants. The locus of PEUP22 was mapped to the 16.2 Mb length region on chromosome 5, which was between the marker NGA76 and the BAC MSN2, using 20 F2 mutant plants. Whole-genome sequencing revealed 9 and 35 polymorphisms in the mapped region in peup17 and peup22, respectively, which were filtered with criteria of possibility to change the amino acid sequence (such as non-synonymous mutations, stop-gained mutations, and mutations on splice donor/receptor sites). The list of candidate genes of PEUP17 and PEUP22 included ATG5 (At5g17290) and ATG7 (At5g45900), respectively. To determine if ATG5 and ATG7 are causative genes of peup17 and peup22, we produced F1 progenies by crossing peup mutants with T-DNA insertion mutants atg5-1 (Thompson et al., 2005) and atg7-2 (
Table 1
| (I) † | (II) † | (III) † | |
|---|---|---|---|
| Polymorphisms identified with WGS‡ | Mapped region (number of plants used in the mapping) | Polymorphisms affecting coding sequences in the mapped region | |
| peup17 | 4,260 | Chr 5: 4.8–5.9 Mb (47) | Non-synonymous: 7 Stop-gained: 1 Splice-site: 1 |
| peup22 | 3,986 | Chr 5: 10.4–26.6 Mb (20) | Non-synonymous: 32 Stop-gained: 2 Splice-site: 1 |
The information related to the determination of causative genes with whole-genome sequencing (WGS) and map-based cloning.
† The numbers correlate to those in Figure 2A.
‡ The number of polymorphisms based on comparison with the parental plant.
The peup17 mutation caused a substitution from guanine to adenine at the splice donor site in the third intron of the ATG5 gene (Figure 2C). The mRNA from ATG5 was assessed by reverse transcription and subsequent PCR (RT-PCR) with several sets of primers as shown in Figure 2C and Supplementary Table 1. We found RT-PCR products have varied lengths when the amplified region includes the third intron, in which the mutation has occurred at the splice donor site (Figure 2D, F). Moreover, the level of RT-PCR products was significantly reduced if the amplified region includes from the fourth exon to the last exon. These results indicated that the peup17 mutation alters the splicing of ATG5 mRNA to reduce the total amount of transcripts. The peup22 mutation at the eighth exon of the ATG7 gene resulted in the nonsense substitution of the glutamine in position 522 (Figure 2C). Although the peup22 mutation was expected to affect the amino acid sequence, the amount of the RT-PCR product was decreased, suggesting that this mutation also alters the amount of ATG7 mRNA (Figure 2E, F).
In the autophagy machinery, ubiquitin-fold proteins ATG8 and ATG12 are engaged for two ubiquitin-like conjugation systems acting in the isolation membrane formation. ATG12 is conjugated to ATG5 to produce ATG12–ATG5 conjugate (
To test the autophagic activity in peup17 and peup22, we performed a carbon-deprivation test. One-week-old seedlings grown under the light were transferred into the dark, where photosynthesis is repressed and the plants start recycling their cellular components via autophagy to survive (
The atg5 and atg7 Mutants Failed to Form E-64d Vesicles and Increased the Amount of Tonoplast
As mentioned above, E-64d treatment induces the accumulation of many vesicles depending on autophagy (Figures 1A and B;
Starvation-Induced Acid Granules Are Captured by the Tubular Invagination of Tonoplast and Taken Into the Vacuole With the E-64d Vesicles in Tobacco BY-2 Cells
To characterize the process of E-64d vesicle formation in detail, we used tobacco BY-2 cells, which is a model plant cell line. E-64d vesicle formation can be easily induced in tobacco BY-2 cells by exchanging culture media without sucrose. In addition, a population of uniform cell type facilitates the evaluation and observation of the effect of treatments. The tonoplast, but not the plasma membrane of the cells, was visualized by 1-day treatment of FM4-64 (Figure 5A, Yamada et al., 2005). After that, the cells were starved and treated with E-64d. Five hours after the starvation and E-64d treatment, cells started to form tubular structures on the tonoplasts (arrows in Figure 5A). After 20 h of treatment, E-64d vesicles had accumulated and formed large aggregates. These results were similar to the results from the Arabidopsis roots (Figure 4). We stained the cells with BCECF-AM to visualize vacuoles and acidic compartments (
Figure 5

E-64d vesicles in sucrose-starved tobacco cells. (A) E-64d vesicles are generated from the tonoplast under starvation. The tonoplast was visualized with FM4-64 before the induction of starvation and E-64d treatment (left). Arrows indicate the invagination sites of tonoplast observed after 5 h of starvation and the treatment with E-64d (middle). Arrowheads indicate E-64d vesicles observed after 20 h of the treatment (right). Bar = 10 µm; n, nucleus; t, tonoplast. (B) Cytosolic acid granules are captured into E-64d vesicles. FM4-64 and BCECF staining show tonoplast and acidic compartments, respectively. Arrows indicate the cytosolic acid granules. Arrowheads indicate E-64d vesicles. Bar = 10 µm; n, nucleus. (C) High-magnification images showing that the cytosolic acid granules (arrows) are captured by tubular invagination of the tonoplast to form E-64d vesicles (arrowheads) after 5 h of treatment with E-64d. Bar = 5 µm. (D) Concanamycin A (ConA) treatment did not interfere with E-64d vesicle formation. Cells were treated with (upper panel) or without (lower panel) ConA. Magenta and green colors show FM4-64 and quinacrine fluorescence, respectively. Arrowheads indicate E-64d vesicles. Bar = 10 µm. n, nucleus.
E-64d Vesicles Are Derived From the Tonoplast but Do Not Include Tonoplast Proteins and Endosomes
To clarify the relationship between the vacuolar membrane and the vesicle formation process, we used tonoplast-visualized transgenic plants. VAM3/SYP22 is a Syntaxin-related protein, which is located at the tonoplast and occasionally at prevacuolar compartments/late endosome (PVC/LE) (
Figure 6

Simultaneous visualization of tonoplast protein and E-64d vesicles. (A) Confocal micrographs of root cells from Venus-VAM3 transgenic plants treated with E-64d under sucrose starvation. The tonoplast was visualized with FM4-64 before the induction of starvation and applying E-64d, and observed after 1, 5, and 10 h of the treatments. Magenta and green indicate the signals of FM4-64 and Venus, respectively. Bar = 10 µm. (B) Three-dimensional (3-D) image of the Venus-VAM3 root cell after 5 h of the treatments, which was reconstructed from a z-stack confocal microscopic images (0.3830 µm interval) with the ImageJ 3D Viewer plugin (https://imagej.nih.gov/ij/plugins/3d-viewer/). (C) An FM4-64–labeled vesicle is released from the tonoplast. The images were extracted from Supplementary Movie 2. The tonoplast in the Venus-VAM3 cell was pre-stained with FM4-64, and then cells were starved with E-64d treatment for 6 h. The elapsed time is indicated at the lower left corner of each image. White and blue arrows indicate the vesicles stained with both FM4-64 and Venus-VAM3 and only with FM4-64, respectively. Bar = 2 µm.
To determine whether this phenomenon also occurred on other tonoplast proteins, we used the tonoplast marker line mGFP-VAMP713 plants which express mGFP-fusion of VAMP713 (
The Tonoplast Captures Vesicles That Contain Cytoplasm and Autophagosomes
During degradation of a whole damaged chloroplast via microautophagy, namely chlorophagy, GFP-ATG8a–labeled structure accompanies the chloroplast engulfment by tonoplast (
Figure 7

Subcellular localization of GFP-ATG8a during starvation and E-64d treatment. (A) Confocal micrographs of root cells from GFP-ATG8a transgenic plants treated with E-64d under sucrose starvation. The tonoplast was visualized with FM4-64 before the induction of starvation. Cells were starved and treated with E-64d or ConA for 3 h. Magenta and green indicate the signals of FM4-64 and GFP, respectively. Bar = 10 µm. (B) GFP-ATG8a–labeled cytosolic autophagosomes were trapped to the tonoplast and taken into the vacuole. The tonoplast in the GFP-ATG8a cell was pre-stained with FM4-64, and then cells were starved with E-64d treatment for 5 h. The images were extracted from Supplementary Movie 6. The elapsed time is indicated at the lower left corner of each image. White arrowheads indicate a captured autophagosome, and a black arrowhead indicates a vesicle which started random motion in the vacuole. Snapshot images of the longer time period are shown in Supplementary Figure 10. Bar = 2 µm. (C) Magnified image of the area indicated in the bottom image of (B) Bar = 2 µm. (D) Magnified images of a GFP-ATG8a cell treated with ConA under starvation for 3 h. Bar = 2 µm. v, vacuole; c, cytosol. (E) Histogram plots showing the profiles of the relative intensity of GFP-ATG8a of the cytosol (grey), FM4-64–labeled vesicles in the vacuole (red), and autophagosomes in the cytosol (blue) from the GFP-ATG8a root cells treated with ConA under starvation. Fluorescent intensities in the vesicles and the cytosol were measured with ImageJ and normalized with the mean of three to five points of cytosolic fluorescence in each cell. Frequency is shown in a percentage of each total of counts. Error bars show ± SD in the profiles of “cytosol” and “autophagosomes in the cytosol.” Total 23 cells from more than six plants were analyzed.
Discussion
Sucrose Starvation–Induced Microautophagy in Root Cells Involves a Part of Core ATG Proteins
Previously, we reported that treatment with E-64d produces vesicle aggregations, which is easily observed with FM4-64 dye in BY-2 cells and Arabidopsis root tips (Yamada et al., 2005). Moriyasu et al. reported that E-64d treatment induces aggregates of acidic vesicles, which is associated with autophagy, and electron microscope experiments showed that a large number of the vesicles were tethered at the interface of the cytosol and the vacuole; these vesicles contained acid phosphatases, which are recognized as a marker of lysosomes in mammalian cells (
We demonstrated that the E-64d vesicles are formed from the tonoplast, and vesicle formation is pronounced under the sucrose starvation. These results indicate that sucrose starvation induces “micro”-autophagy, which directly takes cytosolic components and membranes into the vacuole with protrusion or invagination of the vacuolar membrane/tonoplast (
Is Microautophagy Initiated From a Specific Site on the Tonoplast?
FM4-64 is a dye that stains plasma membranes, endocytic compartments, and vacuolar membrane (Vida and Emr, 1995; Ueda et al., 2001). After 10 h of the E-64d treatment and starvation, the FM4-64 signal was mainly detected on the aggregated vesicles, and a few were detected on the entire tonoplast. These results indicate that the region that forms vesicles seems to have properties that are preferred by FM4-64 (Figure 6). A similar selectivity of the dye was observed in BY-2 cells; 1-day treatment of FM4-64 stained the whole vacuolar membrane, whereas upon the application of E-64d, the majority of dye was detected on the E64-d vesicles, and the signal in the tonoplast decreased (Figure 5). These phenomena point to the differences in membrane properties between the vesicle-forming region and the tonoplast.
FM dyes are taken into the plasma membrane just after their application, and prolonged incubation allows FM dyes to stain tonoplasts and nascent cell plates (
What Does Microautophagy Target Under Starvation?
The identity of E-64d vesicles has not been fully elucidated. However, even in cells not treated with E-64d, FM-4-64–labeled vesicles are formed under starvation (Figure 7A, mock and +ConA). The formation of vesicles by the addition of E-64d, under conditions of starvation, has been detected by bright field observation (
FM4-64 can visualize not only the vacuolar membrane, but also the plasma membrane and endosomes. Although we use cells that visualize only the vacuolar membrane in our detailed analysis (Figures 5–7), it was necessary to discuss the possibility that the cell membrane and endosomes formed the vesicles. BFA is an inhibitor of endomembrane trafficking, and is known to induce TGN and endosome aggregation, which is called as a BFA body, in Arabidopsis root and cotyledon cells (
In summary, starvation induces microautophagy to recycle cellular components; the tonoplast invaginates toward the vacuolar lumen and captures the cytosolic compartment, including acid granules and autophagosomes, and forms vesicles to compartmentalize the degrading components. During this process, ATG2, ATG5, ATG7, and partially ATG8a are involved in the vesicle formation, although it is still unclear how these proteins contribute to the process of starvation-induced microautophagy. The vesicles may be formed at the microdomain in which the tonoplast protein is excluded, and the vesicles are released into the vacuole to be degraded. On the other hand, E-64d inhibits the degradation of vesicles and accumulates them to the tonoplast. Further studies will be required in order to understand the detailed machinery of microautophagy in plants.
Funding
This study was supported by the National Science Centre, Poland [UMO-2016/21/P/NZ9/01089 to SG-Y (the project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 665778) and UMO-2016/23/B/NZ1/01847 to KeY]; the Foundation for Polish Science (TEAM/2017-4/41 to KeY); KAKENHI from the Japan Society for the Promotion of Science, Japan (JP15J40032 to SG-Y, JP17K07457 to SM, and JP15H05776 to IH-N); and KAKENHI from the Ministry of Education, Culture, Sports, Science and Technology, Japan (JP26111523 to SG-Y); as well as the institutional support provided from the National Institute for Basic Biology (NIBB), Kyoto University, and Małopolska Centre of Biotechnology, Jagiellonian University. Next-generation sequencing was supported by NIBB Collaborative Research Programs 11-711.
Statements
Data availability statement
Our NGS data has been submitted to a public database DDBJ (https://www.ddbj.nig.ac.jp). The accession number is DRA009208.
Author contributions
SG-Y and KeY conceived and designed the experiments. SG-Y, KeY, and JB performed most of the experiments. KO, SM, and MN contributed to mutant screening and phenotyping. SS, KaY, KO, and MH contributed to the next-generation sequencing. HU and IH-N contributed to production of the Venus-VAM3 transgenic plant. SG-Y and KeY analyzed the data and wrote the article.
Acknowledgments
We would like to thank Ms. Hisayo Asao and Ms. Sachiko Wakazuki (NIBB) for their technical assistance to next-generation sequencing; Prof. Masao Tasaka (NARA Institute of Science and Technology, Japan) and Prof. Miyo T. Morita (NIBB) for providing the NARAMAP markers; Dr. Tomoo Shimada (Kyoto University, Japan) for providing the ap2m-2 and ap2s-1 mutants; Dr. Takashi Ueda (NIBB) for providing the mGFP-VAMP713 and GFP-ARA7 transgenic plants; Dr. Tomohiro Uemura (Ochanomizu University, Japan) for providing the pGWB1/Venus-VAM3 plasmid and the GFP-SYP43 transgenic plant; and Prof. Kazimierz Strzałka (Jagiellonian University, Poland) for supporting our work.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2019.01604/full#supplementary-material
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Summary
Keywords
microautophagy, autophagy-related genes, sucrose starvation, tonoplast, vacuole, E-64d, FM4-64, microdomain
Citation
Goto-Yamada S, Oikawa K, Bizan J, Shigenobu S, Yamaguchi K, Mano S, Hayashi M, Ueda H, Hara-Nishimura I, Nishimura M and Yamada K (2019) Sucrose Starvation Induces Microautophagy in Plant Root Cells. Front. Plant Sci. 10:1604. doi: 10.3389/fpls.2019.01604
Received
05 July 2019
Accepted
14 November 2019
Published
03 December 2019
Volume
10 - 2019
Edited by
Kohki Yoshimoto, Meiji University, Japan
Reviewed by
Tamara Pecenkova, Academy of Sciences of the Czech Republic, Czechia; Taijoon Chung, Pusan National University, South Korea
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© 2019 Goto-Yamada, Oikawa, Bizan, Shigenobu, Yamaguchi, Mano, Hayashi, Ueda, Hara-Nishimura, Nishimura and Yamada.
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*Correspondence: Shino Goto-Yamada, shino.yamada@uj.edu.pl; Kenji Yamada, kenji.yamada@uj.edu.pl
†Present address: Kazusato Oikawa, Center for Sustainable Resource Science, RIKEN, Wako, Japan
This article was submitted to Plant Cell Biology, a section of the journal Frontiers in Plant Science
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