Abstract
In plants, autophagy is a conserved process by which intracellular materials, including damaged proteins, aggregates, and entire organelles, are trafficked to the vacuole for degradation, thus maintaining cellular homeostasis. The past few decades have seen extensive research into the core components of the central autophagy machinery and their physiological roles in plant growth and development as well as responses to biotic and abiotic stresses. Moreover, several methods have been established for monitoring autophagic activities in plants, and these have greatly facilitated plant autophagy research. However, some of the methodologies are prone to misuse or misinterpretation, sometimes casting doubt on the reliability of the conclusions being drawn about plant autophagy. Here, we summarize the methods that are widely used for monitoring plant autophagy at the physiological, microscopic, and biochemical levels, including discussions of their advantages and limitations, to provide a guide for studying this important process.
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1 Introduction
Autophagy is an intracellular degradation mechanism that sequesters cytoplasmic components and delivers them to the vacuole or lysosome for breakdown (Zhuang et al. 2015; Michaeli et al. 2016; Marshall and Vierstra 2018). Autophagy is evolutionarily conserved in eukaryotes (Marshall and Vierstra 2018). To date, three forms of autophagy have been described in plants: microautophagy, macroautophagy, and mega-autophagy (Marshall and Vierstra 2018). Macroautophagy (hereafter referred to as autophagy) is the major form of autophagy in plants (Qi et al. 2008; Wada et al. 2009; Izumi et al. 2017). Catabolic reactions that occur during leaf senescence are likely to target chloroplasts for degradation, as chloroplasts are dismantled in the early phase of senescence (Avila-Ospina et al. 2014). Under nutrient-replete conditions, most autophagy-defective mutants display few differences from wild type in seed germination, cotyledon development, root elongation, and seed production (Hanaoka et al. 2002). However, atg mutants have fewer rosette leaves and display early bolting and premature senescence under long-day (16-h light/8-h dark) or short-day (8-h light/16-h dark) photoperiods (Doelling et al. 2002; Hanaoka et al. 2002; Chung et al. 2010; Li et al. 2014). Early leaf senescence was confirmed by lower chlorophyll content and elevated expression levels of senescence-related genes, such as SENESCENCE 1 (SEN1) and YELLOW STRIPE LIKE 4 (YSL4) (Doelling et al. 2002). These results suggest that autophagy is required to maintain cellular viability and efficient nutrient use throughout the entire plant life cycle.
Under nutrient-limited conditions, autophagy contributes to the recycling of damaged or unwanted materials and organelles, including entire chloroplasts, to replenish essential nutrients and generate sufficient resources for the cell to support its vital needs and survival (Masclaux-Daubresse et al. 2017; Qi et al. 2006; Chung et al. 2010; Huang et al. 2009). In agreement, a recent study using electron tomography showed that the loss of ATG9 function led to a drastic accumulation of autophagosome-related tubular structures in direct membrane continuity with the ER upon autophagic induction in Arabidopsis (Zhuang et al. 2017). Ultrastructural TEM and three-dimensional electron tomography analyses showed that FREE1 is involved in autophagosome closure in Arabidopsis (Zeng et al. 2023). Furthermore, three-dimensional tomographic reconstruction showed that loss-of-function of UFM1-SPECIFIC E3 LIGASE 1 (Ufl1), an E3 ligase of the ufmylation system in Arabidopsis, leads to abnormal ER-phagy under salt stress conditions, indicating a role for Ufl1 in regulating ER homeostasis (Li et al. 2023).
More recently, another study employed three-dimensional tomographic reconstruction to elegantly demonstrate a noncanonical role for ATG8 in Golgi recovery from heat stress in plants (Zhou et al. 2023). Through immunogold-TEM, Arabidopsis OXYSTEROL-BINDING PROTEIN–RELATED PROTEIN 2A (ORP2A) was shown to localize alongside an autophagosome-like structure surrounded by the ER (Ye et al. 2022). ORP2A is involved in mediating ER–autophagosomal membrane contacts and autophagosome biogenesis according to three-dimensional electron tomography analysis and three-dimensional model reconstruction (Ye et al. 2022).
Therefore, TEM is an extremely powerful and accurate method for monitoring autophagy and represents the only technique with which to examine autophagy at subcellular resolution in diverse complex environments. However, TEM requires specialized equipment and expertise, making it challenging for many laboratories, and it cannot be used for imaging live cells. The use of TEM in combination with other technologies is becoming increasingly necessary to study the progression of autophagy.
2.2.4 Staining with fluorescent dyes
Although GFP-ATG8 is considered to be an ideal marker for autophagic structures, the use of the GFP-ATG8 fusion protein requires the transient expression of its encoding constructs in transfected protoplasts or its stable expression in transgenic lines. However, some acidotropic fluorescent dyes, such as autofluorescent amine monodansylcadaverine (MDC), Lysotracker Red (LTR), quinacrine, and Neutral Red, can be used to stain autophagosomes or autophagic bodies, making them fast and easy markers to stain wild-type and mutant plants for preliminary analysis of autophagosome formation (Moriyasu and Ohsumi 1996; Munafó and Colombo 2001; Yano et al. 2004; Contento et al. 2005; Liu et al. 2005; Inoue et al. 2006; Patel and Dinesh-Kumar 2008). Because mature autophagosomes have an acidic lumen, they accumulate acidotropic dyes.
MDC accumulates inside membrane compartments, such as autophagosomes, that have both an acidic lumen and a lipid-rich membrane, and fluorescence can be detected by confocal or standard fluorescence microscopy (Munafó and Colombo 2001; Contento et al. 2005). Under normal growth conditions, very few MDC-stained structures are observed in Arabidopsis suspension cells. Furthermore, most of the MDC-labeled punctate structures are found in the cytosol and colocalize with the autophagy marker GFP-ATG8e (Contento et al. 2005). Thus, MDC is considered to be an autophagosome-enriched marker in Arabidopsis, as shown in mammalian cells, and it has been extensively deployed to study autophagy in plants (Liu et al. 2005, 2009; **ong et al. 2005; Patel and Dinesh-Kumar 2008; Chen et al. 2015; Huang et al. 2019a; Qi et al. 2017). Compared to other methods for analyzing plant autophagy, MDC offers a quick mean to stain Arabidopsis cells and entire seedlings without the need for stable transgenic plants.
LTR is another acidotropic fluorescent dye commonly used for detecting autophagosomes or autolysosomes in animals (Rodriguez-Enriquez et al. 2006). Recently, it was also used in the observation of autolysosomes in tobacco leaf cells treated with the cysteine protease inhibitor E-64d (Liu et al. 2005; Kwon et al. 2013). This dye stains the central vacuole weakly but stains smaller acidic compartments more strongly, and has been used in combination with cysteine protease inhibitors, such as E-64d, to allow accumulation of autophagosomes for easier visualization (Liu et al. 2005; Bassham 2015).
However, a recent study showed that MDC or LTR staining is not suitable for monitoring autophagy under some conditions in plants (Merkulova et al. 2014). In this study, very few MDC or LTR-stained structures were observed in the elongation zone of Arabidopsis roots under starvation conditions, in contrast to the abundant autophagosomes observed in GFP-ATG8 transgenic lines grown under the same conditions. Moreover, there was no colocalization of MDC or LTR-positive vesicles with GFP-ATG8 fluorescence in root tips upon starvation (Merkulova et al. 2014). It is worth noting that this may be due to the shorter starvation treatment time in this study (Merkulova et al. 2014) compared to the longer starvation times traditionally used when studying autophagy in plants (Yoshimoto et al. 2004; **ong et al. 2005; Phillips et al. 2008; Suttangkakul et al. 2011; Li et al. 2014; Bassham 2015; Huang et al. 2019b; Qi et al. 2017).
In summary, fluorescent dyes such as MDC and LTR should be used with caution, as they tend to stain other acidic compartments besides autophagosomes, and are best used for preliminary studies followed by alternative approaches such as GFP-ATG8 expression. Additional assays are required to assess MDC or LTR staining results before drawing conclusions about autophagy.
2.3 Biochemical methods
Biochemical approaches offer an alternative means of assessing autophagic activity in eukaryotes. ATG proteins are widely used to monitor autophagic activity in plants; these include ATG1a, ATG13a, and ATG8, with ATG8 being the most widely used (Chung et al. 2010; Suttangkakul et al. 2011; Chen et al. 2015; Qi et al. 2017; 2020). In this section, we discuss multiple assays for monitoring autophagy using these ATG proteins.
2.3.1 Immunoblotting analysis of ATG proteins
ATG8 lipidation assay using anti-ATG8 antibodies
Autophagosome formation requires conjugation of ubiquitin-like ATG8 to PE (Ohsumi 2001; He and Klionsky 2009). ATG8 is post-translationally cleaved by the cysteine protease ATG4 at a conserved C-terminal glycine residue, thus leading to its conjugation with PE, forming ATG8–PE that localizes to the newly formed inner and outer membranes of autophagosomes (Ichimura et al. 2000; Chung et al. 2010; Woo et al. 2014). Although ATG8–PE on the outer membrane is recycled before the autophagosome fuses with the tonoplast, ATG8–PE on the inner membrane enters the vacuole together with the cargo for degradation (Mizushima et al. 2010). Indeed, the amount of ATG8–PE usually correlates with the number of ATG8-positive punctate structures as well as autophagic activity. Thus, the ATG8–PE adduct has been widely used as a biochemical marker for ATG-mediated autophagy in yeast, animals, and plants (Rubinsztein et al. 2009; Chung et al. 2010). The commercial availability of Arabidopsis anti-ATG8 antibodies has made it easy to determine autophagy activity in plants by comparing the ratio of lipidated to non-lipidated forms of ATG8 in Arabidopsis subcellular fractions (Chung et al. 2010; Gao et al. 2015; Fig. 5). Although the PE-conjugated form of ATG8 is larger in mass than free ATG8, it exhibits a faster electrophoretic mobility in SDS-PAGE gels, probably as a consequence of increased hydrophobicity (Klionsky et al. 2016).
Notably, the gels must be run in the presence of urea to analyze the lipidated and non-lipidated forms of ATG8 by immunoblotting (Klionsky et al. 2016). Furthermore, unlike the single-copy ATG8 gene in yeast, the genomes of Arabidopsis and other plants contain multiple ATG8 genes, resulting in several proteins similar in sequence and molecular mass (Chung et al. 2010). Thus, antibodies against ATG8a recognize most ATG8 isoforms, which differ substantially in terms of their mobility on SDS-PAGE, and their tendency to recognize unknown cross-reacting species that possess a fast mobility similar to that of ATG8–PE (Chung et al. 2010).
An effective solution to this problem is to introduce appropriate controls to distinguish between ATG8 and ATG8–PE. In the Arabidopsis atg5 mutant, the level of ATG8–PE is severely decreased, with scarcely any ATG8-labeled autophagosome structures, whereas non-lipidated ATG8 accumulates in large amounts (Chung et al. 2010). Thus, it is critical to include wild-type and atg5 mutant seedlings as positive and negative controls, respectively, to unequivocally identify ATG8–PE by immunoblotting analysis. Under conditions that induce autophagy, ATG8–PE adducts were absent in atg7-2 membranes; however, they were abundant in wild type and several other autophagy-defective mutants, such as atg9, atg13a atg13b double mutants, and atg11, which show suppression of autophagic body deposition into the vacuole (Suttangkakul et al. 2011; Li et al. 2014; Zhuang et al. 2017).
To better identify lipidated ATG8, an improved method called the ATG8 delipidation assay was devised based on ATG8 membrane association and sensitivity to phospholipase D (PLD) in Arabidopsis (Chung et al. 2010). Immunoblotting analysis showed that the faster mobility species that were enriched in the membrane fractions from N-starved seedlings are sensitive to incubation with PLD, indicating that the faster mobility species contained phospholipids such as PE. However, the lipidated species detected in the membrane fraction of wild-type seedlings were absent in the atg5, atg12a atg12b, and atg10 mutants (Chung et al. 2010). Furthermore, lipidated ATG8 species are converted to the non-lipidated form of ATG8 upon PLD digestion (Chung et al. 2010). Thus, it is easy to distinguish between ATG8–PE adducts and ATG8 by incubating protein extracts with PLD prior to immunoblotting alongside samples from wild-type and autophagy-defective mutant seedlings.
Monitoring autophagy by detecting ATG1a and ATG13a proteins
The ATG1 − ATG13 complex, one of the most upstream components of the autophagy machinery, plays an essential role in initiating autophagy by responding to nutritional status and governing autophagosome formation (Suttangkakul et al. 2011; Li et al. 2014). Notably, the ATG1 − ATG13 complex is both a regulator and target of autophagy, as it is degraded in an autophagy-dependent manner (Suttangkakul et al. 2011). This feature has made ATG1 − ATG13 a useful marker for detecting autophagy in plants. Previous studies have shown that anti-ATG1a and anti-ATG13a antibodies detect accumulation of both ATG1a and ATG13a in autophagy-defective mutants, such as atg7, atg11, and the traf1a traf1b double mutant (Li et al. 2014; Qi et al. 2017).
In plants, the stability or activity of the ATG1 − ATG13 complex is tightly controlled by posttranslational modifications, such as phosphorylation and ubiquitination (Qi et al. 2021; Wang and Hou 2022). For example, the SINAT family of RING-type E3 ubiquitin ligases differentially regulates ubiquitination and stability of the ATG1 − ATG13 complex to regulate autophagy (Qi et al. 2020; 2022a; 2022b). The plant energy sensors SnRK1 and TOR act as positive and negative regulators, respectively, of plant autophagy by modulating the phosphorylation of the ATG1 − ATG13 complex. The α-subunit of SnRK1 kinase, SNF1 KINASE HOMOLOG 10 (KIN10), mediates the phosphorylation of ATG1a in plants upon nutrient starvation to activate autophagosome formation (Chen et al. 2017a). Moreover, the TOR signaling (TOS) motif of ATG13 is important for its phosphorylation by TOR in Arabidopsis, indicating a potential role for TOR in the phosphorylation of ATG13 (Son et al. 2018). Furthermore, KIN10 functions upstream of TOR to activate autophagy, suggesting crosstalk between these two phosphorylation-based regulators of plant autophagy (Soto-Burgos and Bassham 2017). Recently, TYPE ONE PROTEIN PHOSPHATASE (TOPP) was shown to mediate the dephosphorylation of ATG13a during nutrient deprivation and increase tolerance to fixed-carbon starvation in Arabidopsis (Wang et al. 2022a, b). These results indicated that the phosphorylation status of the ATG1 − ATG13 complex is critical for autophagy in plants.
On immunoblots probed with anti-ATG1a antibodies, ATG1a was detected as a 70-kDa species close in size to the 69-kDa predicted molecular mass in wild-type plants, and this species accumulated in autophagy-defective mutants. At the same time, a protein that cross-reacted with anti-ATG1a antibodies was also detected with a molecular mass larger than 70 kDa. When incubated with λ phosphatase, the electrophoretic pattern of ATG1a appeared to shift from the lower mobility 72-kDa form to the higher mobility 70-kDa form, indicating that the 72-kDa and 70-kDa proteins represent the phosphorylated and non-phosphorylated forms of ATG1a, respectively (Suttangkakul et al. 2011).
When immunoblots were probed with anti-ATG13a antibodies, a diffuse ladder of three and sometimes four species that ranged in apparent molecular mass from 70 to 80 kDa was observed (Suttangkakul et al. 2011). The different species of ATG13a were produced not by alternative splicing of its mRNA, but rather by phosphorylation of a single 66-kDa translation product. Another band that cross-reacted with anti-ATG13a antibodies was detected with a molecular mass larger than 80 kDa. Treatment with λ phosphatase substantially reduced the levels of the 80-, 74-, and 70-kDa species of ATG13a, with the appearance of a new species at 66 kDa. Thus, the 66-kDa species is likely the non-phosphorylated form of ATG13a, whereas the 70–80-kDa species represent ATG13a with different levels of phosphorylation (Suttangkakul et al. 2011).
2.3.2 Analyzing plant autophagy by detecting NBR1 protein
Autophagy was initially considered to be a non-specific process that is induced by a number of biotic and abiotic stresses (Bassham 2015). However, increasing evidence showed that autophagy also regulates cellular homeostasis by selectively degrading specific cargos (Stolz et al. 2014). The selective autophagy receptors recognize their target proteins specifically and recruit them into double membrane–bound autophagosomes for breakdown by associating with ATG8 proteins (Stolz et al. 2014). Specific interactions between selective autophagy receptors and ATG8 require the conserved ATG8-interacting motif (AIM) and ubiquitin-interacting motifs (UIM) within the selective autophagy receptors (Johansen and Lamark 2011; Marshall et al. 2019).
A selective autophagy receptor has been identified in plants, termed NEIGHBOR OF BRCA 1 (NBR1) in Arabidopsis or Joka2 in tobacco; this protein is a structural homolog and functional hybrid of the mammalian autophagy receptors NBR1 and p62 (Svenning et al. 2011; Zientara-Rytter et al. 2011). During selective autophagy, NBR1 enters the vacuole together with its substrate proteins for degradation and accumulates in autophagy loss-of-function mutants (Svenning et al. 2011; Jung et al. 2020; Thirumalaikumar et al. 2021). To monitor the autophagic sequestration of NBR1 in Arabidopsis, the fluorescence localization differentiation of NBR1 fusions with acid-insensitive mCherry or the acid-sensitive YFP was observed by confocal microscopy, revealing that NBR1 is an autophagy substrate degraded in the vacuole (Svenning et al. 2011). Consistent with this observation, increased NBR1 accumulation was found in the Arabidopsis atg7 mutant in comparison with wild-type plants (Svenning et al. 2011). Thus, NBR1 itself is a substrate for autophagy recycled along with its cargo during the process of selective clearance, which also reflects the autophagic flux to some extent in plants.
2.3.3 Cleavage of GFP-ATG8e for analyzing plant autophagy
Upon induction of autophagy, ATG8 − PE conjugates decorate the inner and outer membranes of autophagosomes (Yoshimoto et al. 2004; Woo et al. 2014). ATG8–PE on the outer membrane is recycled before the autophagosome fuses with the tonoplast, while the ATG8–PE at the inner membrane will enter the vacuole (Mizushima et al. 2010). Although GFP is acid-sensitive and is rapidly degraded in lysosomes (pH 4.5), it is degraded more slowly in the plant vacuole with its slightly higher pH (pH 5.4–5.8) (Kaizuka et al. 2016; Liu et al. 2022). For this reason, GFP-ATG8 is commonly used not only for visualizing autophagosomes by confocal microscopy but also for biochemical methods using anti-GFP antibodies. Upon induction of autophagy, free GFP accumulates in a time-dependent manner in the vacuole as GFP-ATG8 disappears (Fig. 6), and both of these changes are blocked in autophagy-defective mutants. The ratio of free GFP to GFP-ATG8 thus reflects autophagic flux (Chen et al. 2015; Qi et al. 2017; Huang et al. 2019b).
2.4 Identification of key regulators of plant autophagy
Many key components of the core autophagy machinery have been identified in plants. Nevertheless, identification of new players in plant autophagy is extremely important for further understanding the autophagy signaling network. Multi-omics approaches, such as genetic and functional analyses of the interactome of ATG proteins, genome-wide transcriptome profiling, and proteomics approaches, may help reveal additional key components of autophagy and increase our understanding of the associated regulatory network.
2.4.1 Interactome of ATG proteins for analyzing plant autophagy
ATG8 not only is a critical component for the formation of autophagosomes in plants but also is involved in specific association with multiple protein targets to regulate their selective turnover by the autophagy machinery (Marshall and Vierstra 2018). Even though these cargo proteins otherwise exhibit low sequence similarity to each other, they contain a common AIM, generally referred to as a W/YXXL/I/V-like motif, for direct binding with ATG8 family proteins (Liu et al. 2021). Because of this property, ATG8 has been a key molecule in proteomics-based studies of autophagy.
Using the Arabidopsis ATG8f isoform as the bait in a yeast two-hybrid (Y2H) approach, several positive cDNA clones were identified, including two proteins with AIM domains, named ATG8-INTERACTING PROTEIN 1 (ATI1) and ATI2 (Honig et al. 2012). These two proteins are involved in seed germination in response to exogenous abscisic acid (ABA) treatment, indicating a potential link between autophagy and ABA signaling.
A recent study used GFP-trap-based pull-down assays and large-scale proteomics analyses to look for proteins that interacted with YFP-ATG6 and YFP-ATG8 in transgenic Arabidopsis plants upon nutrient deprivation. This study identified two core components of the coat protein complex II (COPII) machinery, indicating a possible connection between the ATG machinery and specific COPII components in plants (Zeng et al. 2021). Further analysis showed that the COPII components Sec23b and Sec23f are associated with ATG6, while another component of COPII, Sar1d, specifically recognizes ATG8e via a noncanonical motif to regulate autophagosome progression (Zeng et al. 2021). Another GFP-trap-based pull-down assay using rice (Oryza sativa) GFP-ATG8a transgenic lines also identified several ATG8a-interacting proteins upon NaCl treatment, providing potential connections between autophagy and salt stress tolerance in rice (Liu et al. 2022).
A Y2H study using Nicotiana tabacum ATG6 as bait identified additional regulators of autophagy. BAX INHIBITOR-1 (BI-1), a highly conserved cell death regulator, interacts with ATG6 to regulate plant autophagy and programmed cell death (Xu et al. 2017). Β-TUBULIN 8, the major components of microtubules, was identified as an ATG6 interactor and further analysis showed that ATG6 colocalizes with microtubules. Disruption of microtubules suppresses autophagy (Wang et al. 2015). These results indicate that an intact microtubule network is important for efficient autophagy and leaf starch degradation.
Furthermore, mass spectrometry (MS)-based assays identified glyceraldehyde-3-phosphate dehydrogenases (GAPCs) as ATG3-interacting proteins; GAPCs regulate autophagy and programmed cell death during innate immune responses in Nicotiana benthamiana (Han et al. 2015). Thus, MS-based proteomics approaches have proven to be a powerful tool for confirming the assembly of higher-order complexes and the binding of ATG8 to autophagic cargo receptors.
2.4.2 Genome-wide transcriptome profiling for revealing the function and regulatory mechanism of plant autophagy
In plants, alteration of ATG gene expression helps plants to proceed through various specific developmental stages and respond to various environmental cues, thus promoting plant growth or survival (Yang et al. 2020a). Studies using DNA microarrays showed that several ATG genes were transcriptionally activated in naturally senescing or dark-incubated leaves in Arabidopsis (Buchanan-Wollaston et al. 2005; van der Graaff et al. 2006; Breeze et al. 2011), indicating that activation of autophagy plays a role in nutrient re-mobilization during leaf senescence. Microarray assays using the Arabidopsis wild-type and atg mutants revealed that genes involved in salicylic acid and ethylene biosynthesis were up-regulated in atg mutants compared to wild-type plants, which is consistent with the increased levels of these phytohormones and the early senescence phenotype found in atg mutants (Masclaux-Daubresse et al. 2014). Transcriptome analysis also showed that the NAC transcription factor TRANSCRIPTION ACTIVATION FACTOR (ATAF1) is involved in regulating the expression of ATG genes during carbon starvation–induced senescence in Arabidopsis. Genetic evidence showed that loss of ATAF1 results in decreased autophagic activity in Arabidopsis, suggesting that ATAF1 may act as a key regulator that integrates energy supply with ATG gene expression (Garapati et al. 2015). These results imply that as a key pathway for nutrient recycling, many plant ATG genes are upregulated during nutrient deprivation conditions, as well as during leaf senescence, and are most likely regulated by upstream transcription factors.
Genome-wide transcriptome studies also can help researchers investigate the function of autophagy in plant growth and development. RNA-seq analysis revealed that several ATG genes were up-regulated in the endosperm during seed development in maize (Li et al. 2015). A more recent study confirmed that ATG gene expression is strongly induced during silique development in Arabidopsis, and that atg mutant plants showed increased rates of seed abortion and altered deposition of seed storage proteins in the viable seeds (Di et al. 2018). Although numerous studies showed that ATG genes are transcriptionally regulated during plant growth and development, the underlying molecular mechanisms remain to be elucidated.
Increasing evidence demonstrates that the expression of ATG genes is upregulated to activate autophagy and maintain cellular homeostasis under a wide range of stress conditions (Yang et al. 2020a, b). Global transcriptome analysis found that transcripts of ATG genes were more abundant during periods of desiccation in plants (Williams et al. 2015; Zhu et al. 2015). Additionally, transcriptomic analysis revealed an increase of ATG gene expression in Chlamydomonas reinhardtii (a unicellular green alga) treated with nickel (Pérez-Martín et al. 2015), indicating a role of autophagy in plant tolerance to heavy metals. To date, a number of transcription factors such as WRKY, NAC, HEAT SHOCK FACTOR A1a (HsfA1a), BRASSINAZOLE RESISTANT 1 (BZR1), ELONGATED HYPOCOTYL (HY5), MOTIF-BINDING PROTEIN 9 (TGA9), and ETHYLENE RESPONSE FACTOR 5 (ERF5), have been identified as involved in stress responses (Yang et al. 2020a, b). These transcription factors are induced or repressed to activate the gene expression of downstream ATG genes through binding the specific cis elements in their promoters, thereby stimulating autophagic activity to enhance plant acclimation to growth conditions (Yang et al. 2020a, b).
Transcriptional profiles also provide valuable insights into the regulatory mechanism of plant autophagy (Liu et al. 2018). In Arabidopsis, L‐CYS DESULFHYDRASE (DES) catalyzes the enzymatic desulfuration of L‐Cys to sulfide and des1 mutants exhibit decreased H2S production in the cytosol and increased accumulation of lipidated ATG8–PE conjugates (Alvarez et al. 2012). Transcriptional profiles of des1 mutants grown with or without exogenous sodium sulfide (Na2S) led to the conclusion that sulfide represses autophagy (Álvarez et al. 2012). A global transcriptome analysis in Arabidopsis also confirmed that TOR kinase functions as a negative regulator of plant autophagy (Caldana et al. 2013). Thus, genome-wide transcriptome profiling revealed the fundamental function and regulatory mechanism of plant autophagy, although the underlying mechanisms will require further study.
2.4.3 Proteomics assay for analyzing plant autophagy
Thus far, mass spectrometry (MS)-based proteomics has proven to be a powerful tool for identification of changes in protein abundance under stress conditions to reveal the regulatory mechanisms of autophagy. Comparative proteomics assays analyzing protein contents of wild-type and atg mutant in Arabidopsis have found that autophagy is involved in protein degradation during plant development and responses to biotic and abiotic stresses (Avin-Wittenberg et al. 2015, Wang et al. 2018; Thirumalaikumar et al. 2021). Furthermore, increasing evidence demonstrates that the activities and stabilities of ATG proteins are strongly affected by regulatory posttranslational modifications such as phosphorylation, ubiquitination, lipidation, S‐sulfhydration, S‐nitrosylation, and acetylation, during autophagosome formation in plants (Qi et al. 2021). However, the application of proteomics in plant autophagy, like post-translational modification omics of ATGs proteins has yet to be reported. Such approaches have great potential for uncovering additional regulators of plant autophagy.
Therefore, it is important to build models of the regulatory networks, by which autophagy acts in plant development and responses to different stress stimuli, for us to understand how autophagy integrates multiple environmental cues in plant cells by coordinating multiple omics techniques.
3 Recommendations for analyzing plant autophagy
3.1 Plant materials and growth conditions
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Arabidopsis seeds are surface-sterilized with 20% (v/v) bleach containing 0.1% (v/v) Tween-20 for 20 min and washed at least five times with sterile water.
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The seeds are sown on solid Murashige and Skoog (MS) medium containing 1% (w/v) sucrose and 0.8% (w/v) agar, followed by stratification at 4°C in the dark for 3 days.
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After incubation at 22°C under a long-day (LD,16-h light/8-h dark) photoperiod for 7 days, the seedlings are transferred to soil and grown under LD or short-day (SD, 8-h light/16-h dark) conditions for further growth and analysis. If there is no specific explanation, the plant growth conditions in the following protocols are the same as mentioned in this section.
NOTE: Reagents used in the protocols are shown in Supplemental Table 1.
3.2 PROTOCOL 1. Phenotypic analysis of natural and starvation-induced senescence
3.2.1 Senescence phenotype analysis
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Seven-day-old wild-type or autophagy-deficient mutant seedlings are transferred to soil and grown under LD or SD conditions for 6 (LD) or 8 (SD) weeks.
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During this period, the onset and development of the senescence phenotype is recorded by photography and measurement of chlorophyll contents once a week.
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Chlorophyll contents are measured as previously described (**ao et al. 2010). Total chlorophylls are extracted from the rosettes of one plant with 5 technical replicates by immersion in 5 mL ethanol for 48 h in the dark at 4°C. Absorbance is determined at 664 nm and 647 nm, and the total chlorophyll concentration is calculated and normalized to grams of fresh weight per sample. The values for 3-week-old plants of different genotypes are set to 100% and the relative chlorophyll contents for these genotypes at other stages are normalized to this value.
3.2.2 Fixed-carbon starvation treatment of adult plants
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For fixed-carbon starvation treatments of adult plants, 7-day-old seedlings are transferred to soil and grown under LD conditions for another two weeks (+C).
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The resulting three-week-old plants are transferred to complete darkness for 8 d (−C) and allowed to recover under LD conditions for another 7 d (recovery).
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Samples are collected or photographed at the appropriate time points.
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The survival rates are calculated after a 7-d recovery following dark treatment, and the chlorophyll contents are measured at appropriate dark treatment time points. The number of surviving plants is recorded, as indicated by their ability to produce new leaves. The values for 3-week-old plants with different genotypes before dark treatment are set to 100% and the relative chlorophyll contents following different dark durations are normalized to these values.
3.2.3 Fixed-carbon starvation treatment on seedlings
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For fixed-carbon starvation treatment of seedlings, 1-week-old MS-grown seedlings are transferred to MS agar plates with sucrose (+C) or MS agar plates without sucrose, followed by constant dark treatment (–C) for about 7 to 10 days until the sensitive seedlings start showing poor growth.
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After recovery under normal growth conditions for 7 days, seedling phenotypes are recorded by photography.
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The survival rate after fixed-carbon starvation is calculated from 15 seedlings per genotype and is defined as the percentage of seedlings with obvious regreening and the appearance of new leaves. The chlorophyll contents are measured and calculated as above. The relative chlorophyll contents are calculated by comparing the values of –C and +C seedlings.
3.2.4 Nitrogen starvation treatment
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For N starvation treatment in liquid medium, 1-week-old seedlings grown on solid MS medium are transferred to 2 mL of liquid MS medium (+N) or N-free liquid MS medium (–N) in a 12-well tissue culture plate (30–60 seeds per well) for 4–5 days under LD conditions. Seedlings grown in liquid MS medium (+N) are used as the controls.
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For N starvation treatment on solid medium, 1-week-old seedlings grown on solid MS medium are transferred to solid MS medium (+N) or N-free MS agar medium (–N) and incubated under LD conditions for 5–7 days.
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Photographs are taken, and chlorophyll contents are measured when significant yellowing of leaves and anthocyanin accumulation are observed. The relative chlorophyll contents are calculated by comparing the values of –N and +N seedlings.
3.3 PROTOCOL 2. Microscopy analysis of GFP-ATG8e labeled punctate structures
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To detect autophagosomes or autophagic bodies using the GFP-ATG8e fusion protein, the GFP-ATG8e reporter is introduced into wild-type or other genotype lines by crossing them with transgenic plants harboring the GFP-ATG8e transgene, followed by selection of lines that are homozygous for both the mutation of interest and the transgene.
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Seven-day-old GFP-ATG8e seedlings are transferred to liquid MS medium without sucrose, followed by incubation in continuous dark (−C) or N-deficient liquid MS medium (−N) with 1 μM ConA (optional) for 16−24 h.
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After the seedlings are transferred to a glass slide with water, a coverslip is placed on top of the root. Importantly, the roots should lie straight along the slide, and bubbles in the water should be avoided when the coverslip is placed on top of the roots.
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Cells within the elongation zone of the primary root are observed using a laser scanning confocal microscope with a 40 × objective lens. GFP is excited at a wavelength of 488 nm produced by an argon/krypton laser and detected with a bandpass 500−530 nm filter.
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When viewed through the confocal microscope, the GFP-marked autophagosomes and autophagic bodies can be identified as punctate structures 1−2 μm in size in the cytoplasm and vacuole.
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6.
The number of GFP-ATG8e-labeled autophagosomes is counted in each frame and the average number of foci is calculated across all images for each genotype or treatment.
3.4 PROTOCOL 3. Immuno-EM labeling for autophagosome observation
The general procedures for preparing samples for TEM have been previously described (Lin and Zhuang 2017).
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1.
Four- or five-day-old YFP-ATG8e transgenic seedlings grown under LD conditions are transferred to liquid MS medium containing 100 μM BTH and 1 μM ConA for at least 6 h.
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2.
High-pressure freezing: 5-day-old Arabidopsis transgenic root tips are cut into lengths of 3–4 mm from seedlings treated with 100 μM BTH and placed into high-pressure freezing (HPF) planchettes filled with 0.15 M sucrose solution. The planchette sandwich, along with the Arabidopsis root tips, is frozen immediately in an HPF apparatus (Leica, EM PACT2).
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3.
Freeze-substitution: For immunogold labeling, subsequent freeze-substitution is conducted in dry acetone containing 0.1% (w/v) uranyl acetate at −85°C for 48 h to replace frozen crystalline and noncrystalline water in the root tips. The temperature is gradually increased to –50°C over a 30-h time frame, followed by infiltration with Lowicryl HM20 resin step-by-step with the changes of resin in ethanol (0%, 33%, 66%, and 100%, all v/v) each for 1 h. Infiltration with HM20, embedding, and UV polymerization are performed stepwise at –35°C.
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4.
After polymerization, mounting, trimming, and ultramicrotomy are performed as described in comprehensive books about EM (Hagler 2007; Lin and Zhuang 2017).
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5.
Immunogold labeling: Fixed roots are incubated with anti-GFP antibody at 4 µg/mL overnight at 4 °C or incubated at room temperature for 1–4 h for immunolabeling before being probed with gold particle–coupled (various sizes: 6, 10, and 15 nm) secondary antibodies in solution (1: 40; 15–30 μL per sample) with incubation for 45–60 min at room temperature. Three 30-μL drops of washing solution for each sample are used and samples are washed three times for 5–10 min each. The samples are dried and stained with aqueous uranyl acetate/lead citrate, followed by observation of labeled autophagosome structures under TEM. As shown in Fig 4, the anti-GFP gold particles (15 nm) label double membrane-bound structures.
3.5 PROTOCOL 4. MDC staining for monitoring autophagy in plants
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1.
Seven-day-old MS-grown seedlings are transferred to liquid MS medium without sucrose and are incubated under continuous dark conditions (–C) or N-free liquid MS medium (–N) for 16–24 h.
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2.
Seedlings are stained with 50 μM MDC in 1 × phosphate buffered saline (PBS) for 10 min.
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3.
After incubation, seedlings are washed four times with 1 × PBS.
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4.
The seedlings are transferred to a glass slide with water; a cover glass is placed on top of the seedling from the edge of the root to ensure no air bubbles on the slide. For convenience, the root is placed straight along the slide.
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5.
Autophagosomes are observed using a confocal microscope with a 40× oil-immersion objective. MDC fluorescence is excited at a wavelength of 335 nm and detected at 400–580 nm.
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6.
Autophagosomes can also be observed using a fluorescence microscope with a 4,6-diamino-phenylindole (DAPI)-specific filter.
3.6 PROTOCOL 5. ATG8 lipidation and delipidation assays
3.6.1 Protein extraction
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1.
Seven-day-old MS-grown seedlings are transferred to MS medium without sucrose and incubated under continuous dark conditions (–C) or N-free MS liquid medium and incubated under normal light conditions (–N). Approximately 200 mg of seedlings is collected at the appropriate time.
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2.
The samples are ground thoroughly into powder with liquid nitrogen in 1.5-mL microcentrifuge tubes with a pestle.
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3.
To each ground sample, 200 μL ice-cold protein extraction buffer with protease inhibitor cocktail (Roche) is added; the samples are homogenized on ice for 30 min.
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4.
The samples are centrifuged at 1,000 ×g for 5 min at 4℃.
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5.
The supernatant is transferred to new tubes and centrifuged at 100,000 ×g for 60 min at 4℃.
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6.
The supernatant is transferred (Cell Soluble fraction, CS) to a new 1.5-mL microcentrifuge tube and kept on ice.
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7.
The pellet (Cell Membrane fraction, CM) is washed gently with protein extraction buffer containing protease inhibitor cocktail (Roche) 2–3 times to remove the remaining CS liquid on the surface of the CM pellet. The protein extraction buffer should be added gently from the side of the tube rather than poured directly onto the pellet
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8.
The pellet is resuspended in protein extraction buffer containing a protease inhibitor cocktail (Roche) and 1% (v/v) Triton X-100 to solubilize the membranes.
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9.
The resuspended membranes are divided among three tubes: one is kept on ice (control), one is incubated for 1 h with phospholipase D (250 units/mL), and one is incubated for 1 h with PLD buffer only.
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10.
5 × SDS sample loading dye is added to the CS and CM samples, before boiling the samples at 95 °C for 10 min.
3.6.2 Preparation of the SDS-PAGE gel with urea
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1.
The gel plates are washed and dried. To increase the migration distance of different proteins, the vertical dimensions of the plates should be greater than 12 cm.
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2.
3.6 g urea (molecular biology grade) is weighed, and added to a 50-mL centrifuge tube.
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3.
3.8 mL of 1 M Tris base (pH 8.8) and 5 mL of 30% (w/v) acrylamide solution are added and the urea is dissolved by vortexing. Urea should be dissolved before the SDS is added owing to the production of bubbles when vortexing solutions containing SDS.
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4.
0.1 mL of 10% (w/v) SDS, 0.1 mL of 10% (w/v) ammonium persulfate (APS), and 4 μL of N,N,Nʹ,Nʹ-tetramethylethylenediamine (TEMED), and the appropriate amount H2O are added to make the final volume to 10 mL.
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5.
The mixture is mixed and poured between the gel plates.
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6.
After polymerization of the resolving gel, a standard stacking gel is prepared without urea.
3.6.3 Electrophoresis and immunoblotting
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1.
30 μL of the protein samples are loaded into each well of a urea gel, which is run at room temperature and 90 V for 2 h or stopped when the dye front reaches the bottom of the gel.
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2.
The proteins from the gel are transferred to Hybond-C membrane (Amersham) with 0.22-μm pore diameter at 200 mA for 1 h at 4 °C in 1 × transfer buffer.
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3.
After transfer, the membrane is cut and the region containing proteins from 10 to 20 kDa is used for immunoblotting against ATG8. The other part of the membrane, specifically that near Rubisco at around 55 kDa, can be used for Ponceau S staining to provide a loading control.
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4.
The membrane is blocked in 1× Tris-buffered saline (TBS) with 0.1% Tween-20 (TBST) containing 5% (w/v) nonfat milk powder for 1 h with gentle shaking. And then, the membrane is washed with 1× TBST three times, once for 10 min.
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5.
The anti-ATG8 antibody (cat. No. ab77003, Abcam) is diluted in 1× TBST buffer (1:1,000) and incubated with the membrane for 2 h at room temperature. The membrane is then washed with TBST 3 times.
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6.
The membrane is incubated with the secondary antibody (HRP-conjugated Affinipure Goat Anti-Rabbit IgG (H+L); Cat No: SA00001-2, proteintech;1: 5,000 in 1× TBST buffer) for 1 h and washed with TBST 3 times.
-
7.
Western blotting detection reagents are added to the membrane, and ATG8 and ATG8 − PE bands are detected by chemiluminescence.
3.7 PROTOCOL 6. GFP-ATG8 cleavage assay
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1.
Seven-day-old MS-grown GFP-ATG8e transgenic seedlings are transferred to sucrose-free solid MS medium and incubated under continuous dark conditions (–C) or N-free MS medium under normal light conditions (–N) for 0, 6, 12, or 24 h. Approximately 200 mg of seedlings is collected at appropriate time points during treatment.
-
2.
The samples are ground thoroughly into powder with liquid nitrogen and homogenized in ice-cold extraction buffer containing protease inhibitor cocktail (Roche) in 1.5-mL microcentrifuge tubes.
-
3.
The samples are incubated on ice for 30 min and centrifuged at 4°C for 30 min at 12,000g. The supernatant is transferred to a new microfuge tube containing 5×SDS sample loading dye for denaturation at 95°C, prior to electrophoresis.
-
4.
A 12% (w/v) resolving gel and 5% (w/v) stacking gel is prepared.
-
5.
30 μL of each protein sample as well as protein markers are loaded onto the gel, which is then run at a constant 90 V for 2–3 h at room temperature until the dye front reaches the bottom of the gel.
-
6.
After electrophoresis, the resolving gel is cut from 20 to 55 kDa for transfer to membrane, as described above, followed by blocking in 5% (w/v) nonfat milk dissolved in 1× TBST for at least 1 h. The membrane is washed with TBST three times.
-
7.
The membrane is incubated with anti-GFP primary antibody (cat. no. M20004, Abmart, Shanghai, China, diluted 1:3000 in 1×TBST) for 2 h and washed with TBST 3 times for 10 min each time.
-
8.
The membrane is incubated with the secondary antibody (diluted 1:5,000 in 1×TBST) for 1 h and washed with TBST buffer 3 times for 10 min each time.
-
9.
The GFP-ATG8e fusion protein and free GFP bands are detected by chemiluminescence as described above.
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10.
Quantification of the protein signal is done using Image J software, and the relative intensity of each protein is normalized to the loading control.
4 Conclusions
In this review, we have summarized and evaluated frequently used assays for assessing autophagy activity in plant cells. Assays based on fluorescence microscopy are widely used and convenient because the GFP-ATG8 fusion is an excellent marker for monitoring autophagy in plants and can be used in stable transgenic plants and transiently transfected protoplasts. Owing to its high resolution, TEM is an extremely powerful method for detecting the ultrastructure of autophagic structures and identifying cargo during autophagy. Combined with other techniques, such as immunogold labeling and three-dimensional tomographic reconstruction, TEM has been used to study the morphology of autophagosomes and autophagic bodies and to explore key regulators of autophagy in plants. Biochemical techniques analyzing the accumulation of ATG proteins, especially ATG8, have become the main methods for measuring autophagic activity owing to the commercial availability of anti-ATG antibodies. In addition to Arabidopsis, researchers have used rice, Nicotiana benthamiana, and Chlamydomonas as experimental models to study autophagy (Klionsky et al. 2016). Chlamydomonas has unique advantages; for example, its ATG machinery is encoded by single-copy genes (Pérez-Pérez et al. 2010; Klionsky et al. 2016). However, Arabidopsis thaliana remains a favored model because of its well-characterized genetics, and the feasibility of transient expression of any gene of interest (Marion et al. 2018). It should be noted that, most of these techniques have been used in either Arabidopsis or N. benthamiana cell cultures; whether they will be effective in other plant species needs to be established. Furthermore, multiple assays should be combined when analyzing autophagy activity, as no single autophagy assay is fully conclusive under all conditions. The development of more powerful methods for autophagy analysis will likely lead to new insights into the mechanism, regulation, and physiological effects of autophagy over the next few years.
5 Plant ethics
The mutants we used in this study are from the ABRC (www.arabidopsis.org), and all analyses were performed under laboratory conditions.
Availability of data and materials
The authors declare that all data supporting the findings of this study can be found within the paper. Additional data supporting the findings of this study are available from the corresponding author upon request.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China (32370361), the Natural Science Foundation of Guangdong Province (Project 2022A1515012500), Guangzhou Municipal Science and Technology (project 2023A04J1961), Key Realm R&D Program of Guangdong Province (Projects 2020B0202090001 and 2020B0202080001), and the Laboratory of Lingnan Modern Agriculture (Project NG2021002). DCB is supported by grant #MCB-2040582 from the National Science Foundation.
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S.X. and H.Q. conceived the study. C.G. provided Fig. 4, L.H. provided Fig. 5, S.X. and H.Q. provided Figs. 1–3 and 6. H.Q., Y.W., Y.B., D.C.B., L.C., Q.F.C., S.H., I.H., L.H., Z.B.L., F.L., Y.L., R.Q., H.W., P.W., Q.X., Y.Z., and X.Z. contributed to manuscript writing. S. X., L. J., and C.G. substantially contributed to the revision of the manuscript.
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Authors S.X., L.J., I.H., H.Q., and X.Z. are members of the Editorial Board for Advanced Biotechnology, and all these authors are not involved in the journal’s review of and decisions related to this manuscript.
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Table 1. Reagents used in protocols.
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Qi, H., Wang, Y., Bao, Y. et al. Studying plant autophagy: challenges and recommended methodologies. Adv. Biotechnol. 1, 2 (2023). https://doi.org/10.1007/s44307-023-00002-8
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DOI: https://doi.org/10.1007/s44307-023-00002-8