1. Cell Biology

Atg9 antagonizes TOR signaling to regulate intestinal cell growth and epithelial homeostasis in Drosophila

  1. Jung-Kun Wen
  2. Yi-Ting Wang
  3. Chih-Chiang Chan
  4. Cheng-Wen Hsieh
  5. Hsiao-Man Liao
  6. Chin-Chun Hung
  7. Guang-Chao Chen  Is a corresponding author
  1. Academia Sinica, Taiwan
  2. College of Life Science, National Taiwan University, Taiwan
  3. National Taiwan University College of Medicine, Taiwan
https://doi.org/10.7554/eLife.29338
Share this article
Cite this article
  1. Jung-Kun Wen
  2. Yi-Ting Wang
  3. Chih-Chiang Chan
  4. Cheng-Wen Hsieh
  5. Hsiao-Man Liao
  6. Chin-Chun Hung
  7. Guang-Chao Chen
(2017)
Atg9 antagonizes TOR signaling to regulate intestinal cell growth and epithelial homeostasis in Drosophila
eLife 6:e29338.
https://doi.org/10.7554/eLife.29338
  2. Download BibTeX
  3. Download .RIS

Abstract

Autophagy is essential for maintaining cellular homeostasis and survival under various stress conditions. Autophagy-related gene 9 (Atg9) encodes a multipass transmembrane protein thought to act as a membrane carrier for forming autophagosomes. However, the molecular regulation and physiological importance of Atg9 in animal development remain largely unclear. Here, we generated Atg9 null mutant flies and found that loss of Atg9 led to shortened lifespan, locomotor defects, and increased susceptibility to stress. Atg9 loss also resulted in aberrant adult midgut morphology with dramatically enlarged enterocytes. Interestingly, inhibiting the TOR signaling pathway rescued the midgut defects of the Atg9 mutants. In addition, Atg9 interacted with PALS1-associated tight junction protein (Patj), which associates with TSC2 to regulate TOR activity. Depletion of Atg9 caused a marked decrease in TSC2 levels. Our findings revealed an antagonistic relationship between Atg9 and TOR signaling in the regulation of cell growth and tissue homeostasis.

https://doi.org/10.7554/eLife.29338.001

Introduction

Autophagy is a highly regulated lysosomal degradation process by which intracellular components are degraded and recycled for cell viability and homeostasis. There is increasing evidence of the importance of autophagy in a variety of physiological and pathological processes, including differentiation, development, aging, and tumorigenesis (Jiang and Mizushima, 2014; Mizushima and Levine, 2010). The autophagic pathway is controlled by a series of evolutionarily conserved autophagy-related (Atg) proteins to generate double-membraned vesicles, the autophagosomes, which subsequently fuse with lysosomes for the degradation of their contents (Feng et al., 2014). Atg9 is the only multi-spanning transmembrane protein in the family and is involved in promoting lipid transport to autophagosomes during their formation (Tooze, 2010; Yamamoto et al., 2012). In yeast, distinct from other Atg proteins, Atg9 cycles between cytoplasmic membrane pools and the preautophagosomal structure (PAS) (Mari et al., 2010). The Atg9-containing vesicles are recruited to PAS by the Atg1-kinase complex during autophagosome formation (Rao et al., 2016; Suzuki et al., 2015). Similarly, mammalian Atg9 (mAtg9) localizes to the trans-Golgi network, endosomal system, and plasma membrane under normal conditions, whereas it translocates to autophagic membranes upon autophagy induction (Orsi et al., 2012; Popovic and Dikic, 2014; Puri et al., 2013; Young et al., 2006). The trafficking of mAtg9 is important for autophagy induction, and several proteins, including Ulk1, ZIPK, p38IP, TRAPPC8, TBC1D5, and the AP2 complex (Imai et al., 2016; Lamb et al., 2016; Popovic and Dikic, 2014; Tang et al., 2011; Webber and Tooze, 2010; Young et al., 2006), regulate the spatio‐temporal distribution of mAtg9 during autophagy.

In addition to autophagy, mAtg9 can modulate dsDNA-induced innate immune responses by regulating the STING-TBK1assembly (Saitoh et al., 2009). Recently, Imagawa et al showed that mAtg9 also plays a role in necrotic programmed cell death during bone morphogenesis (Imagawa et al., 2016). Our previous study in Drosophila showed that Atg9 functions not only as an essential component of autophagy, but also interacts with Drosophila tumor necrosis factor receptor-associated factor 2 (dTRAF2) to regulate ROS-induced c-Jun N-terminal kinase (JNK) signaling, including JNK-mediated autophagy activation and intestinal stem cell (ISC) proliferation (Tang et al., 2013). Moreover, oxidative stress-induced autophagy can inhibit JNK activity through a negative feedback mechanism to prevent the over-activation of JNK-mediated stress responses, thereby helping the maintenance of midgut homeostasis. However, the molecular regulation and physiological function of Atg9 remain largely unknown.

Target of rapamycin (TOR), a serine/threonine kinase, functions as a central player in the regulation of cell growth and metabolism in response to various environmental stimuli, including nutrient status, growth factors, and amino acids (Saxton and Sabatini, 2017). Under nutrient-rich conditions, TOR promotes protein synthesis and energy metabolism while suppressing autophagy (Russell et al., 2014). Under nutrient deprivation conditions, TOR is inhibited, leading to the induction of autophagy. TOR negatively regulates autophagy by phosphorylating and inhibiting Atg1/Unc51-like kinase 1 (Ulk1) complex activity (Alers et al., 2012). The Atg1/Ulk1 kinase is thought to act as the most upstream autophagy regulator for the initiation of autophagosome formation (Itakura and Mizushima, 2010). Atg1/Ulk1 recruits downstream Atg proteins to the phagophore assembly site and phosphorylates several Atg proteins, including the Ambra1/Beclin1/Vps34 complex and Atg9 (Cheong et al., 2008; Di Bartolomeo et al., 2010; Papinski et al., 2014; Russell et al., 2013). Interestingly, recent studies have shown that Atg1/Ulk1 can negatively regulate TOR signaling in Drosophila and mammals (Lee et al., 2007; Scott et al., 2007), suggesting a tight interplay between Atg1/Ulk1-dependent autophagy and TOR-mediated cell growth.

Here, we generated null mutants for Drosophila Atg9, and showed that loss of Atg9 severely impairs starvation-induced and developmental autophagy. Atg9 null mutant flies exhibited dramatically reduced lifespans, climbing defects, and hypersensitivity to stress. Surprisingly, ablation of Atg9 also caused increased TOR activity and aberrant enlargement of intestinal epithelial cells in the adult Drosophila midgut. Similar intestinal defects were observed in Atg1, Atg13 and Atg17/Fip200 depletion mutants. We further identified PALS1-associated tight junction protein (Patj) as an Atg9-interacting protein. In mammals, the polarity protein Patj interacts with tuberous sclerosis complex 2 (TSC2), a negative regulator of TOR signaling, to regulate TOR activity (Massey-Harroche et al., 2007). Strikingly, overexpression of Patj and TSC1-TSC2 suppressed adult midgut defects of Atg9 mutants. Depletion of Atg9 resulted in a dramatic decrease in TSC2 levels. Our findings revealed a novel negative feedback loop by which Atg9 inhibits TOR signaling to regulate cell growth and tissue homeostasis.

Results

Generation of Drosophila Atg9 mutant fly

Our previous studies showed that Drosophila Atg9 interacts with dTRAF2 to regulate JNK activation, autophagy induction, and midgut homeostasis under oxidative stress conditions (Tang et al., 2013). To investigate the physiological and developmental functions of Atg9, we generated Atg9 null mutants using two different approaches. First, we replaced the Atg9 open reading frame with a Gal4 knock-in cassette (Atg9Gal4KO) using the ends-out homologous recombination approach (Figure 1A) (Chan et al., 2011). The Gal4 knock-in can be used for gene expression under Atg9 endogenous regulatory elements in the Atg9 mutant background. Second, we employed the CRISPR/Cas9 gene editing approach to replace a short coding region in the first exon of Atg9 with the attPX-3-frameStop-floxed 3xP3-RFP cassette (Kondo and Ueda, 2013), which leads to a pre-maturely truncated Atg9 mutant (Atg9d51) (Figure 1A). The homozygous Atg9Gal4KO and Atg9d51 flies and trans-heterozygous Atg9Gal4KO/Atg9d51 flies are semi-lethal, with a few escapers. Interestingly, the escapers produce no offspring, suggesting fertility defects in Atg9 mutants. We next compared Atg9 expression in wild-type and mutant flies. We confirmed the lack of Atg9 expression in the mutants by RT-PCR and Western blot analysis (Figure 1B and C). Importantly, the gene expression and semi-lethality of Atg9 mutants can be fully rescued by a 5.8 kb genomic construct encompassing the Atg9 transcript and its endogenous regulatory regions (Figure 1A–C). These results demonstrated that Atg9Gal4KO and Atg9d51 specifically disrupt Atg9 function and act as null mutants.

Figure 1 with 1 supplement see all
Download asset Open asset
Generation of mutations in Drosophila Atg9.

(A) Schematic view of Atg9Gal4KO and Atg9d51mutations relative to the Atg9 transcripts. For the Atg9Gal4KO mutation, the complete Atg9 open reading frame was replaced with a Gal4 knock-in cassette. For Atg9d51 mutation, the 52–102 bp after the Atg9 start codon was replaced with the attPX-3-frameStop-floxed 3xP3-RFP cassette. (B) RT-PCR analysis of Atg9 mRNA expression level in control, mutant and Atg9 genomic rescue adult flies. Atg9 mRNA levels were undetectable in the Atg9 mutant. (C) Western blots show the endogenous Atg9 protein in control and Atg9 genomic rescue flies but fail to detect the protein in mutants. (D) LysoTracker Green staining reveals that starvation-induced autophagy is strongly reduced in Atg9 mutant fat bodies, compared with controls. Scale bar: 5 μm. (E) Quantification of data shown in (D). n ≥ 10, data are mean ±s.e.m. *p<0.05, **p<0.01. ns, not statistically significant. (F) Western blots show markedly increased Ref(2)P and ubiquitinated protein levels in Atg9 mutants. (G) Immunostaining of Drosophila thoracic muscles with anti-Ub (FK2) and anti-Ref(2)p antibodies showed an accumulation and colocalization of polyubiquitin protein aggregates and Ref(2)p (arrowheads) in Atg9 mutant flies. Scale bar: 10 μm. Df refers to Df(2R)Exel7142, which removes Atg9 and flanking genes.

https://doi.org/10.7554/eLife.29338.002
Figure 1—source data 1

Quantification of lysotracker dots.

https://doi.org/10.7554/eLife.29338.004

Atg9 mutants have impaired autophagy and increased ubiquitination

RNAi-mediated knockdown of Atg9 inhibits starvation-induced autophagy and developmental autophagy in the larval fat body (Bader et al., 2015; Tang et al., 2013). To determine whether the newly generated Atg9 null mutants also exhibit autophagic defecs, we first stained the larval fat body with the pH-sensitive fluorescent dye LysoTracker, which has been widely used to detect acidic lysosomes and autolysosomes. The LysoTracker Green staining was faint and diffuse in well fed control animals, whereas nutrient deprivation resulted in a strong punctate LysoTracker Green staining (Figure 1D). Notably, loss of Atg9 dramatically blocked the starvation-induced punctate staining, compared to the controls (Figure 1E). Because inhibiting autophagic activity often results in the accumulation of autophagic substrate p62/SQSTM1 and ubiquitinated protein aggregates (Komatsu and Ichimura, 2010), we investigated the effect of Atg9 on protein ubiquitination and autophagic degradation of Ref(2)P, the Drosophila homolog of p62. Compared to the control, Atg9 mutants had a dramatic increase in Ref(2)p levels and ubiquitin aggregate formation (Figure 1F and G). Moreover, Atg9 null mutants displayed impaired developmental autophagy in the larval fat body and larval midgut (Figure 1—figure supplement 1A and B). These results together demonstrate the essential role of Atg9 in autophagy during development and in response to starvation.

Atg9 mutants exhibit shortened lifespan, locomotor defects, and increased susceptibility to stresses

Many Drosophila autophagy mutants display reduced lifespan and decreased climbing activity (Juhász et al., 2007; Kim et al., 2013). To gain more insight in the physiological function of Atg9, we analyzed the effect of Atg9 gene ablation on the lifespan of Drosophila. As shown in Figure 2A, we found that the lifespan of Atg9 mutants was greatly reduced compared with that of Atg9 heterozygous control flies (48% decrease in male mean lifespan and 53% in female, p<0.001) or Atg7 mutants (38% decrease in male mean lifespan and 40% in female, p<0.001) under normal conditions. The negative geotaxis assay also revealed that Atg9 mutants exhibited a significantly lowered climbing activity than that of the control flies (Figure 2B). The locomotion defects of Atg9 mutants were substantially suppressed by expressing the Atg9 genomic rescue construct, suggesting that the mobility defects were indeed caused by interruption of Atg9 gene expression. Moreover, loss of Atg9 leads to dramatically decreased viability under starvation and oxidative stress conditions (Figure 2C,D). We thus conclude that, like other autophagy mutants, Atg9 also regulates Drosophila lifespan, mobility, and susceptibility to stresses.

Figure 2
Download asset Open asset
The Atg9 mutant flies display shortened lifespan, locomotor defects and decreased stress tolerance.

(A) Both Atg7 and Atg9 mutant flies showed shortened lifespan compared with control (Log-rank test, p<0.001). Comparing with Atg7 mutant, Atg9 mutant flies exhibited dramatically shortened lifespan. (B) Climbing analysis showed that Atg9 mutant exhibit decreased climbing activity in both male and female flies, compared with controls (***p<0.001). The locomotion defects can be rescued by expressing the Atg9 genomic rescue construct. (C–D) Both male and female Atg9 mutant flies die faster than control flies under complete starvation conditions (Log-rank test, p<0.001) or on paraquat treatment (Log-rank test, p<0.001).

https://doi.org/10.7554/eLife.29338.006
Figure 2—source data 1

Survival rate and climbing activity of control and Atg9 mutants.

https://doi.org/10.7554/eLife.29338.007

Atg9 is required for proper adult midgut morphogenesis

The Drosophila adult midgut shares many similarities with the mammalian intestine and has emerged as an attractive model system to study stem cell proliferation and differentiation (Jiang and Edgar, 2012). Our previous study showed that Drosophila Atg9 is involved in regulating adult midgut homeostasis upon ROS stimulation and bacterial infection (Tang et al., 2013). To examine whether Atg9 has a function in maintaining intestinal homeostasis under normal conditions, we examined the adult midgut morphology of the Atg9 mutant. The Drosophila adult midgut consists of a tubular, monolayered epithelium surrounded by visceral muscles (Micchelli and Perrimon, 2006). In striking contrast, the Atg9 mutant adult midgut is markedly shortened and significantly thickened in the posterior region, compared to control flies (Figure 3A). Moreover, phalloidin staining of actin filaments in the visceral muscles revealed a severe disruption in the continuity of the visceral mesoderm layer surrounding the gut (Figure 3B). To assess whether the loss of Atg9 would affect intestinal barrier function, we examined the intestinal integrity by feeding flies of different ages with a nonabsorbable blue food dye (Rera et al., 2011). As expected, the dye was restricted to the digestive tract in young control flies (10 days, Smurf- fly), whereas the dye was seen throughout the body in approximately 7% of the aged control flies (30 days, Smurf + fly) due to a loss of intestinal integrity (Figure 3—figure supplement 1A and B). Although we found no significant intestinal barrier dysfunction in young Atg9 mutants, there was a dramatic increase of Smurf + flies in aged Atg9 mutant animals, compared to controls (Figure 3—figure supplement 1B).

Figure 3 with 1 supplement see all
Download asset Open asset
Atg9 is required for adult Drosophila midgut morphogenesis.

(A) Atg9 mutant midguts are shortened and display enlargement in the posterior region (arrow). Scale bar: 500 μm. Quantification of adult midgut length and posterior midgut width of control and Atg9 mutant flies. n = 10, **p<0.01. (B) Phalloidin staining of midgut visceral muscles revealed that loss of Atg9 leads to disruption of actin filaments. Scale bar: 20 μm. (C–D) Optical sections of control and the Atg9 mutant midgut epithelium layer stained with anti-Dlg showing that Atg9 mutants display abnormally enlarged cells with apical protrusions (arrowheads) into the lumen. Scale bar: 20 μm. (E) Quantification of cell size (shown in panel C) in control and Atg9 mutant posterior midgut. n ≥ 25, *p<0.05, **p<0.01. (F) Quantification of phospho-Histone3 positive (PH3+) cells per midgut of control and Atg9 mutant flies at 5 days and 30 days of age. n ≥ 8. (G) Quantification of total midgut cell numbers, posterior midgut ISC (Delta+) and EE (Pros+) cell numbers of 5-day-old control and Atg9 mutant adults. n ≥ 10. Data are mean ±s.e.m. ns, not statistically significant.

https://doi.org/10.7554/eLife.29338.008
Figure 3—source data 1

Quantification of midgut length and width, cell size, total cell number, and PH3+, Delta+, Pros+ cells per gut.

https://doi.org/10.7554/eLife.29338.010

The Drosophila adult midgut epithelium homeostasis is maintained by self-renewing intestinal stem cells (ISC) that divide asymmetrically to generate renewed ISCs and enteroblasts (EB) (Micchelli and Perrimon, 2006; Ohlstein and Spradling, 2006). The EB further differentiate into either absorptive enterocytes (EC) or secretory enteroendocrine cells (EE). In wild-type or Atg9 heterozygous mutant flies, the intestinal epithelium consistently showed a tight, polarized monolayer (Figure 3C,D). In Atg9 mutant flies, the epithelium was also a monolayer, but composed of dramatically enlarged cells and abnormal apical membrane protrusions that often expanded into the midgut lumen (Figure 3C–E). Notably, the aberrant midgut defects in Atg9 mutants can be fully rescued by the Atg9 genomic transgene (Figure 3C–E), further demonstrating that the intestinal defects were a direct consequence of the Atg9 mutation.

To investigate whether the aberrant posterior midgut enlargement in Atg9 mutants was due to an increase in cell growth and proliferation, we measured the ISC mitotic index in the Atg9 mutant adult midgut. Immunostaining with an antibody for the mitotic marker phospho-histone 3 (PH3) in the whole midgut revealed no statistical difference in the number of PH3-positive cells between Atg9 null and control flies at both 5 days and 30 days of age (Figure 3F). Moreover, the Atg9 mutant midgut showed a similar number of total intestinal cells, Delta-positive (ISC-specific marker) cells and Pros-positive (EE marker) cells, compared with controls (Figure 3G). Together, these results indicate that Atg9 is not required for the regulation of ISC proliferation under normal conditions.

Atg9 acts in ECs to regulate cell growth

To gain insights on the cell type requirement of Atg9 function, we expressed Atg9RNAi with Dl-Gal4 driver in ISCs, Su(H)GBE-Gal4 in EBs, and Myo1A-Gal4 (NP1-Gal4) in ECs. While Atg9 depletion in ISCs and EBs did not cause any observable defects in the midgut, Atg9 depletion in ECs resulted in pronounced defects in the midgut epithelium, with a markedly increased cell size and aberrant cell morphology (Figure 4A). We further utilized the TARGET system (McGuire et al., 2004) to specifically knockdown Atg9 in adulthood. The negative control was flies maintained at 18°C, and the positive control was flies shifted to 29°C within 24 hr after eclosion to inactivate Gal80ts and enable expression of the RNAi targeting Atg9 gene. Because the midgut defects was only observed when Atg9RNAi was induced by temperature shift in adult flies with Tub-Gal4; Tub-Gal80ts as driver, the aberrant midgut enlargement is likely not caused by defects during development (Figure 4B). Moreover, although the visceral muscle defects were observed in Atg9 mutants (Figure 3B), we found that, like Atg9 depletion in ISCs and EBs, ablation of Atg9 with muscle-specific How-Gal4ts did not cause any observable defects in the adult midgut (Figure 4—figure supplement 1). To further explore the role of Atg9 in adult midguts, we generated Atg9 mitotic clones using the heat shock-inducible Flp-FRT system. Mosaic analysis of Atg9 mutant clones revealed a dramatic increase in cell size of Atg9 mutant cells (Figure 4C, GFP-negative, encircled). Next, we utilized the MARCM (mosaic analysis with a repressible cell marker) technique to generate clones of cells homozygous for the Atg9 mutation (Figure 4D, marked by GFP). Immunostaining with Pdm1 (an EC specific marker) (Lee et al., 2009) revealed that many of the enlarged GFP-positive cells in Atg9 mutant clone were stained positive for Pdm1 (Figure 4D), suggesting that Atg9 acts largely in ECs to regulate cell growth.

Figure 4 with 2 supplements see all
Download asset Open asset
Loss of Atg9 leads to enlarged enterocytes.

(A) Expression Atg9RNAi in ISCs, EBs and ECs with Dl-Gal4, Su(H)GBE-Gal4, or NP1-Gal4, respectively. Ablation of Atg9 in ECs, but not ISCs or EBs, caused enlarged cell size. n ≥ 25, ***p<0.001. (B) Temporal control of Atg9RNAi expression using the Gal80ts; Tub-Gal4 inducible system. The flies were either maintained at 18°C throughout development or shifted to 29°C after eclosion for 5 days to inactivate Gal80ts and enable expression of the RNAi targeting Atg9. (C) Clonal analysis in adult midgut using Flp-FRT-mediated recombination revealed that Atg9d51 mutant cells (marked by lack of GFP and Atg9 expression) are larger than the controls (GFP-positive cells). n ≥ 17, ***p<0.001. (D) MARCM analysis showed that the enlarged Atg9d51 mutant cells (marked by GFP) are Pdm1 positive EC cells. n ≥ 21, ***p<0.001. Scale bar: 20 μm. Genotypes: (C) hsFLP; FRT42D Ubi-GFP/FRT42D Atg9d51 (D) hsFLP; FRT42D tubGal80/FRT42D Atg9d51; Tub-Gal4/UAS-mCD8GFP.

https://doi.org/10.7554/eLife.29338.012
Figure 4—source data 1

Quantification of cell size.

https://doi.org/10.7554/eLife.29338.015

To investigate the involvement of other Drosophila Atg genes in midgut cell growth and homeostasis, we systematically depleted Atg1, Atg13, Atg17/FIP200, Atg9, Atg7, Atg12, Atg16, Atg18, and Vps34 with NP1-Gal4; tubulin-Gal80ts as driver. Surprisingly, only RNAi targeting Atg9 and components of the Atg1 kinase complex, but not other Atg genes, caused prominent defects in the midgut epithelium (Figure 5A,B). Similar to the Atg9 mutant, depletion of Atg1, Atg13, and Atg17 showed enlarged and disorganized midgut epithelial cells. Moreover, we found that knockdown of Atg1, Atg13, and Atg17 in the adult fly also caused intestinal barrier dysfunction and shortened lifespan (Figure 5—figure supplement 1A and B). We further confirmed that autophagy activity is efficiently blocked by temporal knockdown of these Atg genes (Figure 5—figure supplement 2A and B). Studies in yeast have shown that Atg9 is a direct target of Atg1 kinase during early autophagsome formation (Papinski et al., 2014). Activation of the Atg1 complex recruits and tethers Atg9-containing vesicles for the initiation of autophagy (Rao et al., 2016). In Drosophila, we have previously shown that ablation of Atg9 suppresses Atg1-induced eye roughness and wing vein defects (Tang et al., 2013). We thus investigated whether Atg1 also genetically interacts with Atg9 in the adult midgut. Indeed, we found that overexpression of Atg1 can rescue the midgut defects caused by depletion of Atg9, whereas Atg1 depletion enhanced the phenotype (Figure 5C). These results highlight the critical role of Atg9 and the Atg1 kinase complex in maintaining adult midgut epithelium homeostasis.

Figure 5 with 2 supplements see all
Download asset Open asset
Components of Atg1 kinase complex are required for adult midgut epithelium homeostasis.

(A) Systematic knock-down of Drosophila Atg1, Atg7, Atg9, Atg12, Atg13, Atg16, Atg17, Atg18 and Vps34 in adult midgut with the EC-specific driver NP1-Gal4; Gal80ts. The flies were either kept at 18°C throughout development or shifted to 29°C after eclosion for 5 days to inactivate Gal80ts and enable expression of the RNAi targeting Atg genes. Ablation of Atg1, Atg13, and Atg17, but not other Atg genes, caused increased cell size. (B) Quantification of posterior midgut cell size (shown in A) of Atg depleted flies. n ≥ 15, data are mean ±s.e.m. **p<0.01, ***p<0.001. ns, not statistically significant. (C) Overexpression of Atg1 suppressed Atg9RNAi-induced adult midgut defects. n ≥ 30, ***p<0.001. Scale bar: 20 μm.

https://doi.org/10.7554/eLife.29338.016
Figure 5—source data 1

Quantification of cell size.

https://doi.org/10.7554/eLife.29338.019

Functional interaction between Atg9 and the TOR pathway

The target of rapamycin (TOR) signaling pathway has been shown to regulate cell growth and proliferation (Miron and Sonenberg, 2001; Zhang et al., 2000). TOR is activated by the phosphatidylinositol 3-kinase (PI3K)/AKT pathway in response to nutrients or growth factors such as insulin stimulation (Dibble and Cantley, 2015; Oldham and Hafen, 2003). The activated TOR kinase phosphorylates ribosomal protein S6 kinase (S6K) and the eukaryotic translation initiation factor 4E-binding protein (4EBP) to regulate protein translation and cell size (Katewa and Kapahi, 2011). Studies in Drosophila and mammals have shown that loss of Atg1 and Atg17 can provoke TOR/S6K-dependent cell growth and development (Kim et al., 2013; Lee et al., 2007; Scott et al., 2007). This prompted us to investigate whether TOR signaling is activated in Atg9 mutants. Intriguingly, Western blot analysis showed a marked increase in S6K and 4EBP phosphorylation levels in the midguts of Atg9 mutants, compared to controls (Figure 6A). Inhibition of TOR activity by feeding Atg9 mutant flies with rapamycin effectively suppressed the enlarged midgut cell size and aberrant epithelial morphology of the Atg9 mutants (Figure 6B and C). Moreover, we found that rapamycin treatment significantly rescued the intestinal barrier dysfunction (Figure 6—figure supplement 1A), but not the lifespan defects of Atg9 mutants (Figure 6—figure supplement 1B). We next checked whether modulation of the components of TOR signaling could rescue the Atg9 midgut defects. Overexpression of the TOR negative regulator TSC1-TSC2 (the tuberous sclerosis complex 1 and 2), the dominant-negative TOR (TORTED), the dominant-negative S6K (S6KKQ), or knockdown of TOR activator Rheb (RhebRNAi) strongly suppressed Atg9RNAi-induced midgut defects (Figure 6D–H,L). Whereas overexpression of TOR activator Rheb or depletion of TSC1 or TSC2 enhanced Atg9RNAi-induced midgut defects (Figure 6I–K,L). Moreover, ablation of components of the insulin receptor (InR)-PI3K-AKT pathway, which is upstream of TOR, also rescues Atg9RNAi-induced midgut defects (Figure 6—figure supplement 2). Taken together, these results suggest that Atg9 antagonizes TOR signaling in regulating cell growth and tissue homeostasis in the adult midgut.

Figure 6 with 2 supplements see all
Download asset Open asset
Loss of Atg9 enhances TOR activity in Drosophila adult midgut.

(A) The adult midguts of denoted genotypes were dissected, lysed, and subjected to Western blot analysis with anti-Atg9, anti-Ref(2)P, anti-p-S6K, anti-p-4EBP and anti-tubulin antibodies. (B) Inhibition of TOR activity by feeding flies with rapamycin rescued Atg9 mutant midgut defects. (C) Quantification of posterior midgut cell size shown in (B). n ≥ 17, data are mean ±s.e.m. ***p<0.001. (D–K) Atg9 genetically interacts with components of the TOR signaling pathway. The Atg9RNAi-induced midgut defects (D) could be suppressed by the coexpression of TSC1-TSC2 (E), RhebRNAi (F), dominant-negative TOR (TORTED) (G), or dominant-negative S6K (S6KKQ) (H), whereas coexpression of TOR activator Rheb (I) or knock-down of TSC1 (J) or TSC2 (K) could not rescue the Atg9RNAi-induced midgut defects. Genetic analyses were performed for three times with 100% penetrance of the phenotype. (L) Quantification of posterior midgut cell size shown in (D–K). n ≥ 18, data are mean ±s.e.m. ***p<0.001. ns, not statistically significant. Scale bar: 20 μm.

https://doi.org/10.7554/eLife.29338.022
Figure 6—source data 1

Quantification of cell size.

https://doi.org/10.7554/eLife.29338.025

Atg9 interacts with Patj and TSC2 to regulate midgut cell growth

To understand the mechanism by which Atg9 negatively regulates TOR signaling and cell growth, we performed a pull down assay using GST-fused C-terminus (residues 668–845) of Atg9 and liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identity Atg9-interacting proteins. Among the proteins that were identified to interact with Atg9, we focused on Pals1-associated tight junction protein (Patj). While the multi-PDZ domain containing protein Patj forms a complex with the apical polarity protein Crumbs (Crb) and Stardust (Sdt; Pals1), several studies have indicated that Patj is not essential for apical basal polarity in Drosophila (Pénalva and Mirouse, 2012; Sen et al., 2012; Zhou and Hong, 2012). In mammals, Patj binds to tight-junction associated proteins such as Pals1, Claudin 1, and ZO-3, and regulates tight junction formation and cell migration (Roh et al., 2002; Shin et al., 2007). Interestingly, recent findings have shown that Patj can interact directly with TSC2 and depletion of Patj leads to increased TOR activity in human intestinal epithelial cells (Massey-Harroche et al., 2007; Rosner et al., 2008), suggesting that Patj may regulate TOR signaling through its interaction with TSC2. We thus performed GST pull-down and co-immunoprecipitation assays to confirm the interaction between Atg9 and Patj. As shown in Figure 7A, GST-Atg9-C, but not GST, efficiently interacted with Patj. To determine whether full-length Atg9 interacts with Patj, HEK293 cells were transiently transfected with Flag-tagged Atg9 (Flag-Atg9) and Myc-tagged Patj (Myc-Patj). Immunoblotting of the anti-Flag immunoprecipitates from cell lysates showed that Patj co-precipitated with Atg9 (Figure 7B). Similarly, a reciprocal co-immunoprecipitation experiment with anti-Myc antibody revealed an interaction between Atg9 and Patj (Figure 7C). Moreover, co-immunoprecipitation assays showed that Patj can interact with TSC2 in Drosophila S2 cells (Figure 7D). We next determined whether Patj could genetically interact with Atg9 in maintaining intestinal homeostasis. Indeed, similar to the Atg9 mutant, we found that depletion of Patj with NP1-Gal4 results in aberrant intestinal epithelium (Figure 7E). Overexpression of Patj in the midgut largely rescued the Atg9 depletion-induced midgut defects (60%, n = 24) but not the midgut defects caused by Atg1 or Atg17 depletion (Figure 7F and Figure 7—figure supplement 1A and B), whereas Patj depletion exacerbated the midgut defects caused by Atg9 ablation (Figure 7F). We have previously shown that ablation of Atg9 in EC cells leads to increased lethality in response to paraquat ingestion (Tang et al., 2013). Strikingly, ectopic expression of Patj in EC cells significantly rescued the paraquat-induced lethality of Atg9 knockdown animals (Figure 7—figure supplement 1C).

Figure 7 with 1 supplement see all
Download asset Open asset
Atg9 interacts with Patj to regulate midgut cell growth.

(A) Lysates of cells expressing Myc-Patj were incubated with GST or GST–Atg9-C (amino acids 668–845) in GST pull-down assays. The pull-down products and input Myc-Patj were analyzed by Western blots with the anti-Myc antibody. (B–C) HEK293T cells transfected with Flag-Atg9 and Myc-Patj were subjected to immunoprecipitation with anti-Flag (B) or anti-Myc (C) antibody. The immunoprecipitates and total cell lysates (TCL) were analyzed by Western blot with antibodies as indicated. (D) S2 cells transfected with pWA-Gal4, pUAS-Flag-TSC2 and pUAS-Myc-Patj were subjected to immunoprecipitation with anti-Flag or anti-Myc antibody. The immunoprecipitates and total cell lysates were analyzed by Western blot with antibodies as indicated. (E) Depletion of Patj with NP1-Gal4 resulted in aberrant midgut epithelium and increased EC cell size. n ≥ 34, data are mean ±s.e.m. ***p<0.001. (F) Patj genetically interacts with Atg9. Overexpression of Patj suppressed the Atg9 depletion-induced midgut defects (60% penetrance, n = 24). The cell size of posterior midgut ECs of each genotype was quantified. n ≥ 20, data are mean ±s.e.m. ***p<0.001. Scale bar: 20 μm.

https://doi.org/10.7554/eLife.29338.028
Figure 7—source data 1

Quantification of cell size.

https://doi.org/10.7554/eLife.29338.030

Several studies have shown that TSC2 is a short-lived protein and is readily targeted for degradation (Chong-Kopera et al., 2006; Hu et al., 2008). We thus investigated whether Atg9 could interact with and regulate TSC2 stability. As shown in Figure 8A, Atg9 specifically interacted with TSC2 by immunoprecipitation experiments, and depletion of Atg1 does not affect the association between Atg9, Patj and TSC2 (Figure 8—figure supplement 1A). More strikingly, clonal depletion of Atg9 (RFP-positive cells) in the adult midgut caused a marked decrease in TSC2 levels (Figure 8B), whereas TSC2 levels were not affected in Atg1 or Atg17 knockdown cells (Figure 8—figure supplement 1B). Immunoblotting analysis showed that TSC2 level is markedly decreased in the midgut of Atg9 mutants, compared with controls (Figure 8C). Collectively, our results suggest that Atg9 antagonizes TOR signaling by interacting with Patj-TSC2 and regulates TSC2 stability (Figure 8D).

Figure 8 with 1 supplement see all
Download asset Open asset
Atg9 interacts with TSC2 to regulate midgut cell growth.

(A) S2 cells transfected with pWA-Gal4, pUAS-Flag-TSC2 and pUAS-GFP-Atg9 were subjected to immunoprecipitation with anti-Flag or anti-GFP antibody. The immunoprecipitates and total cell lysates were analyzed by Western blot with antibodies as indicated. (B) Clonal expression of Atg9RNAi (marked in Red) in the adult midgut resulted in marked decrease in TSC2 levels (green). Line scan across the Atg9RNAi clone to show the relative fluorescent intensities of TSC2 in control (dsRed-negative) and Atg9 depletion (dsRed-positive) cells. Scale bar: 5 μm. (C) The adult midguts of denoted genotypes were dissected, lysed, and subjected to Western blot analysis with anti-Atg9, anti-TSC2 and anti-tubulin antibodies. N = 3, data are mean ±s.e.m. *p<0.05. (D) Model for the antagonistic effect of Atg9 on TOR signaling in the regulation of intestinal cell growth and midgut homeostasis in Drosophila. Genotypes: (G) hsflp; UAS-Atg9RNAi/+; Act-CD2-Gal4-UAS-dsRed..

https://doi.org/10.7554/eLife.29338.032
Figure 8—source data 1

Quantification of fluorescent intensity and Western blots.

https://doi.org/10.7554/eLife.29338.034

Discussion

In this study, we generated Drosophila Atg9 null mutants to determine the developmental and physiological function of Atg9. Similar to other autophagy mutants such as Atg7 and Atg17/Fip200 null flies (Juhász et al., 2007; Kim et al., 2013), Atg9 mutants exhibit severe defects in autophagy, shortened lifespan, impaired motility, and hypersensitivity to stresses. Atg9 loss-of-function also leads to aberrant midgut enlargement and intestinal barrier dysfunction. Interestingly, we found that, unlike Atg9 mutant, depletion of Atg7 in adult flies did not cause aberrant midgut enlargement or intestinal barrier dysfunction (Figure 5 and Figure 5—figure supplement 1A). It is possible that the adult midgut defects may contribute to the much shorter lifespan of Atg9 mutants. Our findings indicate that Atg9 not only acts as a key regulator in autophagy but also functions in maintaining adult Drosophila midgut homeostasis.

The Drosophila adult midgut is composed of a monolayer of epithelial cells including nutrient absorbing enterocytes (ECs), secretory enteroendocrine (EE) cells, and multipotent intestinal stem cells (ISCs) (Lemaitre and Miguel-Aliaga, 2013). A number of conserved signaling pathways, including insulin, Notch, EGFR, Wingless (Wg)/Wnt, Hippo, TOR, and JAK-STAT pathways, have been shown to be involved in the regulation of ISC proliferation and in the maintenance of tissue homeostasis of the Drosophila midgut (Guo et al., 2016; Jiang et al., 2016). The enlarged adult midguts observed in Atg9 mutants may be due to dysregulation of cell proliferation and cell growth. ISCs are the only dividing cells in the Drosophila adult midgut and play an essential role in maintaining tissue homeostasis. However, we found that the total number of intestinal cells and Delta+ ISC population were not affected in Atg9 mutants. PH3 staining of control or Atg9 mutant midguts at young (5 day) or old (30 day) stages showed similar numbers of mitotic ISCs in both animals, thus indicating that loss of Atg9 does not affect ISC proliferation.

Insulin and TOR signaling are conserved nutrient-sensing pathways involved in regulating cell growth, metabolism and tissue homeostasis (Oldham and Hafen, 2003). Recent studies have reported that these pathways regulate enterocyte growth and endoreduplication in the adult Drosophila midgut (Amcheslavsky et al., 2011; Kapuria et al., 2012; Xiang et al., 2017). As the loss of Atg9 leads to a marked increase in TOR activity, while inhibition of insulin/TOR signaling rescues Atg9 midgut defects, Atg9 may act as a negative regulator of TOR-mediated cell growth. It is also interesting to note that although Atg9 depletion caused a dramatic enlargement in adult midgut ECs, we did not find an increase in larval disc cell size (Figure 4—figure supplement 2). It has been shown that the normal development and tissue homeostasis is maintained by a delicate coordination between cell growth and division (Jorgensen and Tyers, 2004; Zeng et al., 2013). One possible explanation for this difference is that ECs in adult midgut are non-dividing differentiated cells, whereas larval disc cells are active dividing cells and therefore maintain a moderate cell size.

Besides Atg9, we found that depletion of components of the Atg1 kinase complex also resulted in enlarged adult midgut ECs. While TOR inhibits Atg1/Ulk1-mediated autophagy induction under nutrient-rich conditions, recent reports have shown that Atg1 and Ulk1 negatively regulate TOR signaling in Drosophila and mammalian cells, respectively (Lee et al., 2007; Scott et al., 2007). Although Atg9 was found to be a downstream target of Atg1 during autophagy, several lines of evidence suggest that Atg1 inhibits TOR independent of Atg9. First, our genetic results showed that overexpression of Atg1 rescued Atg9RNAi-induced midgut defects; in contrast, overexpression of Atg9 or Patj could not suppress the midgut defects caused by Atg1 depletion (Figure 7—figure supplement 1A). Second, co-immunoprecipitation assays showed that Atg9 can still interact with Patj and TSC2 in Atg1 knockdown S2 cells (Figure 8—figure supplement 1A). Thirdly, clonal analysis showed that although the TSC2 level was markedly decreased in Atg9 knockdown cells, TSC2 levels were not affected in Atg1 or Atg17 knockdown cells, compared with controls (Figure 8—figure supplement 1B). In mammals, it has been shown that Atg1/Ulk1 inhibits TOR signaling by phosphorylating Raptor and impairs substrate binding to Raptor (Dunlop et al., 2011; Jung et al., 2011), and the inhibitory effect of Ulk1 on TOR signaling occurred independently of TSC2 (Jung et al., 2011). Our results and findings from mammalian cells together strongly indicate that Atg9 inhibits TOR activity independent of Atg1.

The formation of the midgut epithelium in Drosophila depends on the establishment of cell polarity and adhesion (Müller, 2000). One striking phenotype observed in Atg9 mutant midgut epithelium is the appearance of enlarged epithelial cells with aberrant apical membrane expansion. The Drosophila epithelial polarity is regulated by evolutionarily conserved polarity protein complexes including the Crumbs (Crb)/Stardust (Sdt)/Patj complex, the Bazooka (Baz)/Par6/aPKC complex and the Scribble/Discs large (Dlg)/Lethal giant larva (Lgl) complex (Tepass, 2012). While Crumbs and Par complexes are localized apically in epithelial cells for apical domain maintenance, the Scribble complex is localized in the basolateral region for the maintenance of the basolateral membrane. It has been reported that the Par proteins Par3/Baz, Par6, and aPKC are involved in regulating asymmetric cell division and the differentiation of adult Drosophila ISCs (Goulas et al., 2012). Here, we identified Patj as a novel interactor of Atg9. The scaffolding protein Patj interacts with both Crb-Std and Baz-Std apical polarity protein complexes, and has been shown to play a non-essential role in apical-basal polarity during Drosophila development (Pénalva and Mirouse, 2012; Sen et al., 2015; Zhou and Hong, 2012). However, the role of Patj in midgut epithelium formation and the molecular mechanisms underlying Atg9-Patj-TSC2-mediated intestinal cell growth remain unknown. Interestingly, like Atg9, Patj has been shown to cycle between plasma membrane and endosomal compartments in mammalian cells (Heller et al., 2010; Wells et al., 2006). Ablation of Patj results in accumulation of Crumbs3 in EEA-1 positive early endosomes (Michel et al., 2005). It will be exciting to determine how Atg9 coordinates with Patj to regulate TSC2 stability and intestinal epithelial homeostasis. Further research should aid our understanding in the regulation of TOR signaling by Atg9 and its role in human diseases.

Materials and methods

Drosophila strains and genetics

Request a detailed protocol

Flies were raised at 25°C following standard procedures unless otherwise noted. The following Drosophila strains were used: Atg7d14, Atg7d77 (Juhász et al., 2007), UAS-Atg1 (Scott et al., 2007), Dl-Gal4, Su(H)GBE-Gal4, (Zeng et al., 2010), How-Gal4ts (gift from Bruno Lemaitre, EPFL), NP1-Gal4, UAS-TSC1, UAS-TSC2 (Tang et al., 2013), UAS-Rheb (RRID:BDSC_9688), UAS-S6KKQ (RRID:BDSC_6911), UAS-TorTED (RRID:BDSC_7013), UAS-Atg1RNAi (RRID:BDSC_44034), UAS-RhebRNAi (RRID:BDSC_33966), UAS-Atg7RNAi (RRID:BDSC_34369), UAS-Atg9RNAi (RRID:BDSC_34901), UAS-Atg12RNAi (RRID:BDSC_34675), and Df(2R)Exel7142 (RRID:BDSC_7886) flies were obtained from the Bloomington Stock Center; UAS-PatjRNAi (RRID:FlyBase_FBst0473750), UAS-Atg13RNAi (RRID:FlyBase_FBst0475239), UAS-Atg16RNAi (RRID:FlyBase_FBst0477819), UAS-Atg17RNAi (RRID:FlyBase_FBst0476692), UAS-Atg18RNAi (RRID:FlyBase_FBst0477193), UAS-Vps34RNAi (RRID:FlyBase_FBst0472170), UAS-TSC1RNAi (RRID:FlyBase_FBst0454493), and UAS-TSC2RNAi (RRID:FlyBase_FBst0470276) were obtained from the Vienna Drosophila Resource Center.

Generation of Atg9 mutants

Request a detailed protocol

The Atg9Gal4KO mutant was generated by knock-in replacement of the Atg9 genomic region with the Gal4 cassette as described previously (Chan et al., 2011). In brief, we first generated two 500 bp homology arms flanking the 20 kb Atg9-containing genomic fragment for first-round recombineering. The following primers were used in a SOEing PCR reaction:

LA500-fwd: 5’-ACAAGTTTGTACAAAAAAGCAGGCT TTGGCAGGCACACGACATTT −3’

LA500-rev: 5’-CACGCAGGATCCCTTCAATCCAGAGCAACAGG-3’

RA500-fwd: 5’-TTGAAGGGATCCTGCGTGGAACCCATCTTTGG-3’

RA500-rev: 5’-ACCACTTTGTACAAGAAAGCTGGGT TTGCATTTTGTTTGCTAAGT −3’

The 1 kb PCR product was then cloned into P[acman]-KO to generate P[acman]-KO-Atg9-1kb, and the resultant plasmid was digested with BamHI and transformed into DY380 cells containing the Atg9 genomic DNA. To replace the Atg9 open-reading frame with the Gal4-RFP-Kan cassette, the following primers were used in second-round recombineering:

Atg9-fwd:5’-TCTCTTAGGAGAGTCAGCTGTTTGCTGAGAAGGTTCAGCAGAATCAAACAACAAAGAATTTTCCAACTTATACTATACAGCGATATAAATAGTCAGAACGGTTGACCTTGACGTTGGGCG-3’

Atg9-rev:5’-GTTTAGCTTAGTTTCAGATTAGTTTAGCTACGCACTAGACGACGTCGTTCGTTCGTTTACACTTTAAAATTTAGGTTAATCACTAATAGCAGAATGGGTGGTCCTTAGCTCTACAGGTGG-3’

The PCR product was transformed into DY380 cells containing P[acman]-KO-Atg9-20kb. The transformants containing P[acman]-Atg9-Gal4 were PCR-verified followed by sequencing. The confirmed P[acman]-Atg9-Gal4 was then injected into the embryo following standard transgenesis protocol. The transgenic Atg9Gal4 allele was then excised in vivo and targeted to the endogenous atg9 locus to generate Atg9Gal4KO flies.

The Atg9d51 mutant was generated using CRISPR/cas9-based genome editing (Kondo and Ueda, 2013). In brief, gRNA sequence GAGGGATGGTGCTCCAGGAA[CGG] was cloned into pBFv-U6.3. Cassette attPX-3-frame Stop-floxed 3xP3-RFP flanked by two Atg9 homology arms (500 bp upstream and downstream of CRISPR targeting site) was cloned into pCR2-TOPO. Atg9-targeting gRNA plasmid and donor template for repair were co-injected into embryos of nanos-Cas9 expressing flies. Progeny flies carrying the selection marker of 3xP3-RFP were further validated by genomic PCR and sequencing. The CRISPR-mediated mutagenesis was performed with the help of WellGenetics, Inc. To induce mitotic clones, hsFLP; FRT42D Ubi-GFP/FRT42D Atg9d51 flies were heat shocked in a 37°C water bath for 1 hr twice a day. MARCM clones were generated by placing hsFLP; FRT42D tubGal80/FRT42D Atg9d51; Tub-Gal4/UAS-mCD8GFP flies in a 37°C water bath for 1 hr twice a day. The flies were kept at 25°C for seven additional days before dissection.

RT-PCR

Request a detailed protocol

Total RNA was isolated from adult female flies using TRIzol (Invitrogen). cDNA was synthesized from 1 ug RNA using the Transcriptor First Strand cDNA Synthesis Kit (Roche) according to the manufacturer’s instructions. The following pairs of specific primers were used: 5’-TTGTCCAGATCCGAATCCTC-3’ (Atg9-L); 5’-TCGTCTGGCTACTTGCCTTT-3’ (Atg9-R); 5’-TTGTCTGGGCAAGAGGATCAG-3’ (Actin5C-L); 5’-ACCACTCGCACTTGCACTTTC-3’ (Actin5C-R).

Plasmids and antibodies

Request a detailed protocol

The pUAS-GFP-Atg9 transgene was generated by PCR amplification Atg9 from RE14003 into the pUAST vector. The Myc-tagged Patj expression plasmid was generated by PCR amplification of Patj from LD22238, then cloned into the pUAST or pcDNA3.1 vector. Drosophila pUAS-Flag-TSC2 was kindly provided by Jun Hee Lee (University of Michigan). For the Atg9 genomic rescue construct, the Atg9 genomic locus flanked by 1 kb each of upstream and downstream genomic sequence was cloned into pCaSpeR4. Antibodies used for the study were: anti-Dlg (1:100, DSHB, University of Iowa), anti-Delta (1:100, RRID:AB_2056641), and anti-Prospero (1:100, RRID:AB_528440), anti-Atg9 (1:100) (Tang et al., 2013), anti-TSC2 (1:100, gift from Aurelio Teleman, German Cancer Research Center) (Tsokanos et al., 2016), anti-Pdm1 (1:100, gift from Xiaohang Yang, Zhejiang University), anti-Atg8 (1:100, RRID:AB_297935), anti-Ref(2)p (1:500, Abcam, Cat# ab178440), anti-Ub (1:100, RRID:AB_10691572), anti-phospho-S6K (1:1000, Cell Signaling, Cat# 9209), and anti-phospho-4EBP (1:1000, Cell Signaling, Cat# 2855), anti-GFP (1:100, RRID:AB_1563142), anti-Myc (1:500, RRID:AB_2298152), anti-PH3 (1:1000, RRID:AB_477043), anti-Flag (1:1000, RRID:AB_2687448), and anti-tubulin (1:5000, RRID:AB_1844090).

Cell culture, transfection and immunoprecipitation

Request a detailed protocol

Drosophila S2 cells were cultured at 25°C in Schneider’s Drosophila medium (Thermo Fisher) containing 10% fetal bovine serum (FBS) and antibiotics. HEK293T cells were cultured at 37°C in Dulbecco’s modified Eagle’s medium (DMEM) medium (Thermo Fisher) supplemented with 10% FBS and antibiotics. S2 cells were transfected with Lipofectamine 2000 (Invitrogen), whereas HEK293T were transfected with PolyJet (SignaGen) according to the manufacturer's protocol. The dsRNAs were generated using the T7 RiboMAX Express RNAi System (Promaga). For immunoprecipitations, cells transiently transfected with the indicated plasmids were scraped from dishes in lysis buffer (50 mM Tris-HCl pH 7.4, 150 mM NaCl, 1% Triton, 10% glycerol, 1 mM EDTA, 10 mM NaF, 1 mM PMSF, and protease inhibitor cocktail (Roche)). Cell lysates were immunoprecipitated with Myc or Flag antibody at 4°C overnight and protein G-Sepharose beads (GE Healthcare) at 4°C for 1 hr. These beads were washed three times with the lysis buffer.

Immunofluorescence

Request a detailed protocol

For Drosophila midgut immunohistochemistry, female adult midguts were dissected in PBS and immediately fixed in 4% paraformaldehyde for 40 min at room temperature. After fixation, the samples were permeabilized in PBST (PBS containing 0.5% Triton X-100) for 10 min, then blocked in PBST containing 5% Normal Goat Serum (NGS) for 1 hr. The samples were incubated with primary antibodies in PBST-NGS at 4°C for 16 hr. On the following day, samples were washed with PBST and incubated with fluorescent-labeled secondary antibodies at 4°C overnight. Nuclei were stained using DAPI (1 μg/ml). Images were acquired using the Zeiss LSM510 or Olympus FV3000RS confocal laser scanning microscope. For lysotracker staining, Drosophila larval fat bodies dissected under fed or starved conditions were incubated for 45 s in 100 μM LysoTracker Green DND-26 (Thermo) with DAPI in PBS, and immediately photographed live on an Olympus BX61 fluorescence microscope.

Lifespan, climbing, and stress resistance analyses

Request a detailed protocol

The lifespan assays were performed as described previously (Chen et al., 2012). Female or male flies were housed in groups of 20 and the flies were transferred to fresh food every 2–3 days until all were dead. Climbing assays (Martinez et al., 2007) and stress resistance experiments were performed as preciously described (Juhász et al., 2007; Tang et al., 2013). At least three independent measurements were performed for each experiment.

Rapamycin feeding

Request a detailed protocol

Rapamycin feeding was performed as previously described (Amcheslavsky et al., 2011), with flies being incubated on the food medium containing 50 μM rapamycin (Merck) for 7 days.

Statistical analyses

Request a detailed protocol

Statistical analysis was performed by Student’s t test. Log-rank test was used for lifespan statistical analysis. Differences were considered significant if p values were less than 0.05 (*), 0.01 (**), or 0.001 (***).

References

    1. Miron M
    2. Sonenberg N
    (2001)
    Regulation of translation via TOR signaling: insights from Drosophila melanogaster
    The Journal of Nutrition 131:2988S–2993.

Article and author information

Author details

  1. Jung-Kun Wen

    1. Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan
    2. Genome and Systems Biology Program, College of Life Science, National Taiwan University, Taipei, Taiwan
    Contribution
    Conceptualization, Investigation, Formal analysis, Validation, Visualization, Software, Methodology, Data curation, Writing—review and editing
    Competing interests
    No competing interests declared

  2. Yi-Ting Wang

    1. Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan
    2. Institute of Biochemical Sciences, College of Life Science, National Taiwan University, Taipei, Taiwan
    Contribution
    Investigation, Formal analysis, Validation, Methodology, Visualization, Data curation
    Competing interests
    No competing interests declared

  3. Chih-Chiang Chan

    Graduate Institute of Physiology, National Taiwan University College of Medicine, Taipei, Taiwan
    Contribution
    Conceptualization, Methodology, Resources, Writing—review and editing, Funding acquisition
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2626-3805

  4. Cheng-Wen Hsieh

    Graduate Institute of Physiology, National Taiwan University College of Medicine, Taipei, Taiwan
    Contribution
    Investigation, Formal analysis, Validation
    Competing interests
    No competing interests declared

  5. Hsiao-Man Liao

    Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan
    Contribution
    Investigation, Formal analysis, Validation
    Competing interests
    No competing interests declared

  6. Chin-Chun Hung

    Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan
    Contribution
    Methodology, Visualization, Software
    Competing interests
    No competing interests declared

  7. Guang-Chao Chen

    1. Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan
    2. Genome and Systems Biology Program, College of Life Science, National Taiwan University, Taipei, Taiwan
    3. Institute of Biochemical Sciences, College of Life Science, National Taiwan University, Taipei, Taiwan
    Contribution
    Conceptualization, Resources, Methodology, Formal analysis, Supervision, Data curation, Writing—original draft, Project administration, Funding acquisition, Writing—review and editing
    For correspondence
    gcchen@gate.sinica.edu.tw
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4980-4718

Funding

Ministry of Science and Technology, Taiwan (MOST104-2311-B-002-017-MY3)

  • Chih-Chiang Chan

Ministry of Science and Technology, Taiwan (MOST105-2311-B-001-062-MY3)

  • Guang-Chao Chen

Academia Sinica (101CDA-Lo4)

  • Guang-Chao Chen

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

We thank Chun-Hong Chen, Gábor Juhász, Elisabeth Knust, Bruno Lemaitre, Jun Hee Lee, Thomas Neufeld, Henry Sun, Aurelio Teleman, Xiaohang Yang, Xiankun Zeng, the Bloomington Stock Center, Vienna Drosophila RNAi Center, Developmental Studies Hybridoma Bank, and Fly Core Taiwan for reagents and fly stocks. We thank Horng-Dar Wang for technical advice and Chiou-Yang Tang and WellGenetics for Drosophila embryo injection. We are grateful to Chi-Kuang Yao for helpful comments on the manuscript and Cindy Lee for English editing. This work was supported in part by the Ministry of Science and Technology of Taiwan (MOST105-2311-B-001–062-MY3 to GCC and MOST104-2311-B-002–017-MY3 to CCC) and the Academia Sinica Career Development Award (101CDA-L04 to GCC).

Copyright

© 2017, Wen et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 4,226
    views
  • 652
    downloads
  • 43
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Jung-Kun Wen
  2. Yi-Ting Wang
  3. Chih-Chiang Chan
  4. Cheng-Wen Hsieh
  5. Hsiao-Man Liao
  6. Chin-Chun Hung
  7. Guang-Chao Chen
(2017)
Atg9 antagonizes TOR signaling to regulate intestinal cell growth and epithelial homeostasis in Drosophila
eLife 6:e29338.
https://doi.org/10.7554/eLife.29338

Share this article

https://doi.org/10.7554/eLife.29338

Categories and tags

Research organism

Further reading

    1. Cell Biology

    Spatiotemporal recruitment of the ubiquitin-specific protease USP8 directs endosome maturation

    Yue Miao, Yongtao Du ... Mei Ding
    Research Article

    The spatiotemporal transition of small GTPase Rab5 to Rab7 is crucial for early-to-late endosome maturation, yet the precise mechanism governing Rab5-to-Rab7 switching remains elusive. USP8, a ubiquitin-specific protease, plays a prominent role in the endosomal sorting of a wide range of transmembrane receptors and is a promising target in cancer therapy. Here, we identified that USP8 is recruited to Rab5-positive carriers by Rabex5, a guanine nucleotide exchange factor (GEF) for Rab5. The recruitment of USP8 dissociates Rabex5 from early endosomes (EEs) and meanwhile promotes the recruitment of the Rab7 GEF SAND-1/Mon1. In USP8-deficient cells, the level of active Rab5 is increased, while the Rab7 signal is decreased. As a result, enlarged EEs with abundant intraluminal vesicles accumulate and digestive lysosomes are rudimentary. Together, our results reveal an important and unexpected role of a deubiquitinating enzyme in endosome maturation.

    1. Cell Biology

    Spatial and temporal coordination of Duox/TrpA1/Dh31 and IMD pathways is required for the efficient elimination of pathogenic bacteria in the intestine of Drosophila larvae

    Fatima Tleiss, Martina Montanari ... C Leopold Kurz
    Research Article

    Multiple gut antimicrobial mechanisms are coordinated in space and time to efficiently fight foodborne pathogens. In Drosophila melanogaster, production of reactive oxygen species (ROS) and antimicrobial peptides (AMPs) together with intestinal cell renewal play a key role in eliminating gut microbes. A complementary mechanism would be to isolate and treat pathogenic bacteria while allowing colonization by commensals. Using real-time imaging to follow the fate of ingested bacteria, we demonstrate that while commensal Lactiplantibacillus plantarum freely circulate within the intestinal lumen, pathogenic strains such as Erwinia carotovora or Bacillus thuringiensis, are blocked in the anterior midgut where they are rapidly eliminated by antimicrobial peptides. This sequestration of pathogenic bacteria in the anterior midgut requires the Duox enzyme in enterocytes, and both TrpA1 and Dh31 in enteroendocrine cells. Supplementing larval food with hCGRP, the human homolog of Dh31, is sufficient to block the bacteria, suggesting the existence of a conserved mechanism. While the immune deficiency (IMD) pathway is essential for eliminating the trapped bacteria, it is dispensable for the blockage. Genetic manipulations impairing bacterial compartmentalization result in abnormal colonization of posterior midgut regions by pathogenic bacteria. Despite a functional IMD pathway, this ectopic colonization leads to bacterial proliferation and larval death, demonstrating the critical role of bacteria anterior sequestration in larval defense. Our study reveals a temporal orchestration during which pathogenic bacteria, but not innocuous, are confined in the anterior part of the midgut in which they are eliminated in an IMD-pathway-dependent manner.

    1. Cancer Biology
    2. Cell Biology

    Automated workflow for the cell cycle analysis of (non-)adherent cells using a machine learning approach

    Kourosh Hayatigolkhatmi, Chiara Soriani ... Simona Rodighiero
    Tools and Resources

    Understanding the cell cycle at the single-cell level is crucial for cellular biology and cancer research. While current methods using fluorescent markers have improved the study of adherent cells, non-adherent cells remain challenging. In this study, we addressed this gap by combining a specialized surface to enhance cell attachment, the FUCCI(CA)2 sensor, an automated image analysis pipeline, and a custom machine learning algorithm. This approach enabled precise measurement of cell cycle phase durations in non-adherent cells. This method was validated in acute myeloid leukemia cell lines NB4 and Kasumi-1, which have unique cell cycle characteristics, and we tested the impact of cell cycle-modulating drugs on NB4 cells. Our cell cycle analysis system, which is also compatible with adherent cells, is fully automated and freely available, providing detailed insights from hundreds of cells under various conditions. This report presents a valuable tool for advancing cancer research and drug development by enabling comprehensive, automated cell cycle analysis in both adherent and non-adherent cells.