Literature DB >> 34871307

Cell competition is driven by Xrp1-mediated phosphorylation of eukaryotic initiation factor 2α.

Naotaka Ochi1, Mai Nakamura1, Rina Nagata1, Naoki Wakasa1, Ryosuke Nakano1, Tatsushi Igaki1.   

Abstract

Cell competition is a context-dependent cell elimination via cell-cell interaction whereby unfit cells ('losers') are eliminated from the tissue when confronted with fitter cells ('winners'). Despite extensive studies, the mechanism that drives loser's death and its physiological triggers remained elusive. Here, through a genetic screen in Drosophila, we find that endoplasmic reticulum (ER) stress causes cell competition. Mechanistically, ER stress upregulates the bZIP transcription factor Xrp1, which promotes phosphorylation of the eukaryotic translation initiation factor eIF2α via the kinase PERK, leading to cell elimination. Surprisingly, our genetic data show that different cell competition triggers such as ribosomal protein mutations or RNA helicase Hel25E mutations converge on upregulation of Xrp1, which leads to phosphorylation of eIF2α and thus causes reduction in global protein synthesis and apoptosis when confronted with wild-type cells. These findings not only uncover a core pathway of cell competition but also open the way to understanding the physiological triggers of cell competition.

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Year:  2021        PMID: 34871307      PMCID: PMC8675920          DOI: 10.1371/journal.pgen.1009958

Source DB:  PubMed          Journal:  PLoS Genet        ISSN: 1553-7390            Impact factor:   5.917


Introduction

Cell competition is an evolutionarily conserved quality control process that selectively eliminates viable unfit cells (‘losers’) when coexisting with fitter cells (‘winners’) within a growing tissue [1-3]. For instance, cells with heterozygous mutations in the ribosomal protein genes, called Minute/+ (M/+) mutations, are viable on their own but are eliminated from Drosophila imaginal epithelium when surrounded by wild-type cells [4]. Similarly, Drosophila cells homozygously mutant for Mahjong/VprBP (Mahj) [5] or the RNA helicase Helicase25E (Hel25E) [6] are viable on their own but are eliminated by apoptosis when confronted with wild-type cells. Several other factors also cause cell competition in Drosophila, which include high-level expression of the oncogene Myc [7,8], elevated activity of JAK-STAT or Wnt/Wg signaling [9,10], inactivation of the Hippo pathway [11], and loss of apico-basal cell polarity [12,13]. However, the physiological triggers of cell competition have still remained unclear. A genetic study in Drosophila has identified a basic leucine zipper domain (bZIP) transcription factor Xrp1 as essential for driving M/+ cell competition[14]. Xrp1 is upregulated in M/+ cell clones and contributes to their cell death [15] [16]. Intriguingly, Xrp1 upregulation is also required for M/+ cells to reduce protein synthesis levels [15]. However, the mechanisms of how Xrp1 reduces protein synthesis and how it contributes to loser’s death remained unknown. We have recently found that, similarly to M/+ clones, loser clones such as Hel25E or Mahj mutant clones reduce protein synthesis levels compared to neighboring wild-type winners [6], which suggests a potential mechanistic link between the reduction of protein synthesis and induction of loser’s death. Under various stress conditions, cells adapt to the environment via activation of the integrated stress response (ISR) signaling, an evolutionarily conserved intracellular signaling network that restore cellular homeostasis [17,18]. These stresses include endoplasmic reticulum (ER) stress, nutrient deprivation, viral infection, and oxidative stress. The stresses are sensed by four specialized kinases (PERK, GCN2, PKR, and HRI) that converge on phosphorylation of the alpha subunit of the eukaryotic translation initiation factor 2 (eIF2α). For instance, upon accumulation of unfolded proteins in the ER, the ER-resident chaperone BiP/Hsc70-3 is released from PERK, leading to homodimerization and activation of the eIF2α kinase PERK. eIF2α phosphorylation results in a reduction in global protein synthesis, while allowing the translation of selected genes including activating transcription factor 4 (ATF4) [17,19]. Two of four eIF2α kinases, PERK and GCN2, are conserved in Drosophila, which are activated by ER stress and amino acid deprivation, respectively [20]. ER stress is induced by various intracellular factors that cause the accumulation of unfolded proteins in the ER, which leads to activation of the unfolded protein response (UPR) signaling to recover ER function. In the Drosophila UPR pathway, PERK phosphorylates eIF2α and thus inhibits global protein synthesis to decrease the burden of ER capacity, while the endoribonuclease inositol-requiring enzyme-1 (Ire1) activates the transcription factor Xbp1 via a specific mRNA splicing which leads to upregulation of various genes helping the recovery of ER function [19,21]. Here, through a genetic screen in Drosophila, we found that mutations that cause ER stress make cells to be losers of cell competition when surrounded by wild-type cells. Mechanistically, ER stress, as well as other cell competition triggers such as M/+ and Hel25E mutations, upregulate Xrp1, which promotes phosphorylation of eIF2α via PERK, thereby causing reduction in protein synthesis and induction of cell death. Our data suggest that ER stress or other environmental stresses activating ISR signaling, which converge on the phosphorylation of eIF2α, could be a physiological trigger of cell competition.

Results

ER stress causes cell competition

To investigate the mechanism and physiological triggers of cell competition, we conducted a large-scale ethyl methanesulfonate (EMS)-based genetic screen in Drosophila to isolate mutations that cause cell competition. Using the Flippase (FRT)/ Flp recognition target (FLP)-mediated genetic mosaic technique, we induced homozygous mutant clones in otherwise wild-type tissue in Drosophila eye-antennal discs and isolated 87 cell competition–induction (ccp) mutations, among ~12,500 mutant chromosomes, that are cell-viable but eliminated when confronted with wild-type cells [6] (to be published elsewhere). Interestingly, among these ccp mutants, our whole genome sequencing analysis identified several mutant lines that have mutations in the genes involved in ER stress. For instance, a complementation group ccp-2, ccp18, and ccp-29 mutant lines carried nonsense or flame-shift mutations in Elongator complex protein 3 (Elp3) (S1A Fig), a lysine lacetyltransferase whose loss-of-function was shown to activate UPR signaling [22]. ccp-21 carried a nonsense mutation in calreticulin (S1A Fig), an ER chaperone whose mutation was shown to cause ER stress and UPR [23]. Furthermore, ccp28 carried a nonsense mutation in the gene wollknaeuel (wol) (S1A Fig), a dolichyl-phosphate glucosyltransferase that is involved in N-linked protein glycosylation in the ER. Loss of wol causes disruption of glycosylation and thus prevents proper folding of proteins in the ER, leading to activation of UPR signaling [24]. Given the clear cell competition phenotype, we focused our subsequent analyses on ccp28 mutant. ccp28 mutant clones (white) generated in the eye discs were eliminated during development when surrounded by wild-type clones (red) (Fig 1A and 1B), while eyes entirely mutant for ccp28 developed into almost normal size (Fig 1C), indicating a context-dependent elimination of ccp28 cells when confronted with wild-type cells. The elimination of ccp28 clones from the eye disc was suppressed by overexpression of the caspase inhibitor p35 (Fig 1D, 1E, and 1F, quantified in Fig 1H). In addition, ccp28 mutant clones induced cell death specifically at the boundaries between mutant and wild-type clones both in the eye discs and wing discs (Figs 1I, 1J, 1J’, and S1B, quantified in Fig 1K). A rescue experiment in which Wol was overexpressed in ccp28 mutant clones strongly suppressed their elimination, while Wol overexpression alone did not affect tissue growth (Fig 1G, quantified in Fig 1H). These data indicate that clones of cells mutant for wol are eliminated as losers of cell competition when confronted with wild-type cells.
Fig 1

ER stress causes cell competition.

(A and B) Adult eye bearing eyFLP-induced mosaics of wild-type (A) or wolccp-28-/- (B) clones. (C) Adult eye bearing wolccp-28-/- clones with surrounding wild-type tissue removed by GMR-hid and cell-lethal mutations. (D-G) Eye disc bearing eyFLP-induced MARCM clones of wild-type (D), wolccp-28-/- (E), wolccp-28-/- + UAS-p35 (F) cells or wolccp-28-/- + UAS-wol (G) cells. (H) Quantification of the relative size of GFP-labeled clones shown in D-G. Error bars, SD; ***p<0.001 by Steel-Dwass test. (I-J’) Wing disc bearing UbxFLP-induced MARCM clones of wild-type (I) or wolccp-28-/- (J) stained with anti-cleaved Dcp-1. A magnified image of the inset in J is shown in J’. (K) Quantification of the number of dying cells at the boundary between wild-type and wolccp-28-/- clones in the wing discs. Error bars, SD; ***p<0.001 by Welch’s t-test. (L and M) Eye disc bearing eyFLP-induced MARCM clones of UAS-Xbp1-GFP (L) or wolccp-28-/- + UAS-Xbp1-GFP (M) cells stained with anti-GFP. Scale bars, 50μm. See S1 Text for detailed genotypes.

ER stress causes cell competition.

(A and B) Adult eye bearing eyFLP-induced mosaics of wild-type (A) or wolccp-28-/- (B) clones. (C) Adult eye bearing wolccp-28-/- clones with surrounding wild-type tissue removed by GMR-hid and cell-lethal mutations. (D-G) Eye disc bearing eyFLP-induced MARCM clones of wild-type (D), wolccp-28-/- (E), wolccp-28-/- + UAS-p35 (F) cells or wolccp-28-/- + UAS-wol (G) cells. (H) Quantification of the relative size of GFP-labeled clones shown in D-G. Error bars, SD; ***p<0.001 by Steel-Dwass test. (I-J’) Wing disc bearing UbxFLP-induced MARCM clones of wild-type (I) or wolccp-28-/- (J) stained with anti-cleaved Dcp-1. A magnified image of the inset in J is shown in J’. (K) Quantification of the number of dying cells at the boundary between wild-type and wolccp-28-/- clones in the wing discs. Error bars, SD; ***p<0.001 by Welch’s t-test. (L and M) Eye disc bearing eyFLP-induced MARCM clones of UAS-Xbp1-GFP (L) or wolccp-28-/- + UAS-Xbp1-GFP (M) cells stained with anti-GFP. Scale bars, 50μm. See S1 Text for detailed genotypes. Consistent with the previous report [24], wol mutant clones induced specific mRNA splicing of Xbp1, a marker for ER stress [25], as visualized by the Xbp1-GFP reporter (Fig 1L and 1M). In addition, clones of other loser mutants, ccp-2 (Elp3) or ccp-21 (calreticulin), also elevated the Xbp1-GFP signal (S1C and S1D Fig). The slightly smaller size of wol eyes (Fig 1C) could be due to a broadly increased ER stress in the entire eye disc (S1E Fig). Intriguingly, cell death was not significantly increased in the entire wol eye discs (S1F Fig), suggesting that the smaller eye is due to a growth defect caused by elevated ER stress. Together, these data suggest that clones of cells causing ER stress are eliminated by cell competition when surrounded by wild-type cells.

Cell competition is driven by phosphorylation of eIF2α

We next investigated the consequences of ER stress in loser cells. As expected, immunostaining analysis showed that most wol mutant clones elevate the phosphorylation of eIF2α (Fig 2A, quantified in Fig 2C), an indication of UPR activation [25]. The eIF2α phosphorylation in wol clones was canceled by knocking down the upstream kinase PERK (Fig 2B, quantified in Fig 2C). Strikingly, blocking PERK also significantly suppressed the elimination of wol clones (Fig 2B, compare to Fig 2A, quantified in Fig 2D), while PERK knockdown on its own did not affect tissue growth (Fig 2D). These effects were not observed by knockdown of another eIF2α kinase GCN2 [26] (S2A Fig), indicating that wol clones are eliminated via activation of the UPR pathway. Similar PERK-dependent elimination and elevated eIF2α phosphorylation were observed when homozygous clones of another wol mutant allele, wol [24], were analyzed. Given that eIF2α phosphorylation is known to reduce global protein synthesis, we analyzed protein synthesis rates using O-propargyl-puromycin (OPP) labeling assay [27]. Indeed, wol clones exhibited reduced protein synthesis compared to wild-type neighbors (Fig 2E), which was canceled by PERK knockdown (Fig 2F). These data indicate that PERK-mediated phosphorylation of eIF2α in wol clones causes both reduction in protein synthesis and induction of cell competition.
Fig 2

Cell competition is driven by phosphorylation of eIF2α.

(A and B) Eye disc bearing eyFLP-induced MARCM clones of wolccp-28-/- (A) or wolccp-28-/- + PERK-RNAi (B) cells stained with anti-phosphorylated eIF2α. (C) Quantification of the relative intensity of anti-phosphorylated eIF2α staining in clones shown in A and B. Error bars, SD; ***p<0.001 by Dunnett test. (D) Quantification of the relative size of GFP-labeled clones shown in A and B. Error bars, SD; ***p<0.001 by Welch’s t-test. (E and F) Eye disc bearing eyFLP-induced MARCM clones of wolccp-28-/- (E) or wolccp-28-/-+ PERK-RNAi (F) cells stained with OPP labeling. Scale bars, 50μm. See S1 Text for detailed genotypes.

Cell competition is driven by phosphorylation of eIF2α.

(A and B) Eye disc bearing eyFLP-induced MARCM clones of wolccp-28-/- (A) or wolccp-28-/- + PERK-RNAi (B) cells stained with anti-phosphorylated eIF2α. (C) Quantification of the relative intensity of anti-phosphorylated eIF2α staining in clones shown in A and B. Error bars, SD; ***p<0.001 by Dunnett test. (D) Quantification of the relative size of GFP-labeled clones shown in A and B. Error bars, SD; ***p<0.001 by Welch’s t-test. (E and F) Eye disc bearing eyFLP-induced MARCM clones of wolccp-28-/- (E) or wolccp-28-/-+ PERK-RNAi (F) cells stained with OPP labeling. Scale bars, 50μm. See S1 Text for detailed genotypes.

ER stress upregulates Xrp1, which causes PERK-mediated eIF2α phosphorylation

Our data presented so far indicate an intriguing similarity between M/+ and ER stress-induced cell competition, as M/+ loser cells also exhibit reduced protein synthesis [15]. It has been shown that the upregulation of the transcription factor Xrp1 in M/+ clones is essential for the reduction in protein synthesis and their cell death [15]. We thus analyzed the role of Xrp1 in ER stress-induced cell competition and found interestingly that Xrp1 expression was elevated in wol clones as visualized by the Xrp1-lacZ reporter [15](Fig 3A). In addition, knockdown of Xrp1 in wol clones significantly suppressed their elimination (Fig 3B, quantified in Fig 3C), while Xrp1 knockdown alone did not affect tissue growth (Fig 3C). Strikingly, Xrp1 knockdown also blocked the phosphorylation of eIF2α in wol clones (Fig 3B”, compare to Fig 2A”, quantified in Fig 3D). On the other hand, Xrp1 knockdown in wol clones did not suppress Xbp1-GFP signals (S3A Fig), indicating that ER stress still occurs in the absence of Xrp1. These data suggest that ER stress upregulates Xrp1, which causes phosphorylation of eIF2α and thus reduces protein synthesis. Indeed, Xrp1 knockdown in wol clones canceled the reduction in protein synthesis (Fig 3E). Moreover, overexpression of Xrp1 was sufficient to induce phosphorylation of eIF2α (Fig 3F, compare to S4A Fig, quantified in Fig 3H; S4C Fig). Furthermore, Xrp1-induced phosphorylation of eIF2α was canceled by PERK knockdown (Fig 3G, compare to S4B Fig, quantified in Fig 3H; S4D Fig). Together, these data indicate that ER stress upregulates Xrp1, which causes PERK-mediated phosphorylation of eIF2α, thereby causing reduction in protein synthesis and cell elimination.
Fig 3

ER stress upregulates Xrp1, which causes PERK-mediated eIF2α phosphorylation.

(A) Xrp1-lacZ/+ eye disc bearing eyFLP-induced MARCM clones of wolccp-28-/- stained with anti-β-gal. (B) Eye disc bearing eyFLP-induced MARCM clones of wolccp-28-/- + Xrp1-RNAi cells stained with anti-phosphorylated eIF2α. (C) Quantification of the relative size of GFP-labeled clones shown in A and B. Error bars, SD; ***p<0.001 by Welch’s t-test. (D) Quantification of the relative intensity of anti-phosphorylated eIF2α staining in clones shown in A and B. Error bars, SD; ***p<0.001 by Welch’s t-test. (E) Eye disc bearing eyFLP-induced MARCM clones of wolccp-28-/-+ Xrp1-RNAi cells stained with OPP labeling. (F and G) Eye disc bearing eyFLP-induced MARCM clones of UAS-Xrp1short (F) [46] or UAS-Xrp1short + PERK-RNAi (G) cells stained with anti-phosphorylated eIF2α. (H) Quantification of the intensity of anti-phosphorylated eIF2α staining in clones shown in F, G, and Fig 4B. Error bars, SD; ***p<0.001 by Steel-Dwass test. Scale bars, 50μm. See S1 Text for detailed genotypes.

ER stress upregulates Xrp1, which causes PERK-mediated eIF2α phosphorylation.

(A) Xrp1-lacZ/+ eye disc bearing eyFLP-induced MARCM clones of wolccp-28-/- stained with anti-β-gal. (B) Eye disc bearing eyFLP-induced MARCM clones of wolccp-28-/- + Xrp1-RNAi cells stained with anti-phosphorylated eIF2α. (C) Quantification of the relative size of GFP-labeled clones shown in A and B. Error bars, SD; ***p<0.001 by Welch’s t-test. (D) Quantification of the relative intensity of anti-phosphorylated eIF2α staining in clones shown in A and B. Error bars, SD; ***p<0.001 by Welch’s t-test. (E) Eye disc bearing eyFLP-induced MARCM clones of wolccp-28-/-+ Xrp1-RNAi cells stained with OPP labeling. (F and G) Eye disc bearing eyFLP-induced MARCM clones of UAS-Xrp1short (F) [46] or UAS-Xrp1short + PERK-RNAi (G) cells stained with anti-phosphorylated eIF2α. (H) Quantification of the intensity of anti-phosphorylated eIF2α staining in clones shown in F, G, and Fig 4B. Error bars, SD; ***p<0.001 by Steel-Dwass test. Scale bars, 50μm. See S1 Text for detailed genotypes.
Fig 4

The Xrp1-PERK pathway is commonly required for cell competition.

(A-C) Wing disc bearing hsFLP-induced GFP-labeled clones of RpL14/+, salE>GFP (A), RpL14/+, salE>GFP + Xrp1-RNAi (B), or RpL14/+, salE>GFP + PERK-RNAi (C) cells. (D) Quantification of the relative size of GFP-labeled clones shown in A-C. Error bars, SD; ***p<0.001 by Dunnett test. (E-G) Eye disc bearing eyFLP-induced MARCM clones of Hel25E (E), Hel25E + Xrp1-RNAi (F), or Hel25E + PERK-RNAi (G) cells. (H) Quantification of the relative size of GFP-labeled clones shown in E-G. Error bars, SD; ***p<0.001 by Steel-Dwass test. Scale bars, 50μm. See S1 Text for detailed genotypes.

Xrp1-mediated phosphorylation of eIF2α commonly drives cell competition

Finally, we asked whether Xrp1-mediated activation of the UPR pathway also plays a critical role in cell competition triggered by other factors. To this end, we examined two different models of cell competition, the elimination of RpL14/+ mutant clones (M/+ cell competition) [28] and Hel25E mutant clones [6], both of which exhibit reduced protein synthesis compared to wild-type winners. Elimination of RpL14/+ clones from the wing disc was significantly suppressed by Xrp1 knockdown in RpL14/+ clones as reported previously [15,16] (Fig 4A and 4B, quantified in Fig 4D) and notably, by PERK knockdown as well (Fig 4C, quantified in Fig 4D). Moreover, elimination of Hel25E clones from the eye disc was also strongly suppressed by knocking down Xrp1 or PERK in Hel25E clones (Fig 4E, 4F, and 4G, quantified in Fig 4H). These data indicate that the Xrp1-PERK pathway also plays a critical role in these cell competition models.

The Xrp1-PERK pathway is commonly required for cell competition.

(A-C) Wing disc bearing hsFLP-induced GFP-labeled clones of RpL14/+, salE>GFP (A), RpL14/+, salE>GFP + Xrp1-RNAi (B), or RpL14/+, salE>GFP + PERK-RNAi (C) cells. (D) Quantification of the relative size of GFP-labeled clones shown in A-C. Error bars, SD; ***p<0.001 by Dunnett test. (E-G) Eye disc bearing eyFLP-induced MARCM clones of Hel25E (E), Hel25E + Xrp1-RNAi (F), or Hel25E + PERK-RNAi (G) cells. (H) Quantification of the relative size of GFP-labeled clones shown in E-G. Error bars, SD; ***p<0.001 by Steel-Dwass test. Scale bars, 50μm. See S1 Text for detailed genotypes. We then examined the signaling events occurring in these cell competition models. Consistent with the above data, Xrp1 expression and eIF2α phosphorylation were both significantly upregulated in RpL14/+ and Hel25E mutant clones (Fig 5A, 5B, 5C, and 5D, quantified in Fig 5E, 5F, 5G, and 5H). The induction of Xrp1 expression in loser clones was not suppressed by PERK knockdown (S5A and S5B Fig, quantified in Fig 5E and 5G), indicating that Xrp1 acts upstream of PERK in these clones. On the other hand, the elevation of eIF2α phosphorylation was abolished when PERK or Xrp1 was knocked down in these loser clones (Fig 5I, 5J, 5K, and 5L, quantified in Fig 5F and 5H). Together, these data indicate that different factors that induce cell competition commonly activate the Xrp1-PERK-eIF2α axis, which causes reduction in protein synthesis and induction of apoptosis in loser cells.
Fig 5

Xrp1-mediated phosphorylation of eIF2α commonly drives cell competition.

(A-A”) Xrp1-lacZ/+ background wing disc bearing hsFLP-induced GFP-labeled clones of RpL14/+, salE>GFP cells stained with anti-β-gal. (B-B”) Wild-type background wing disc bearing hsFLP-induced GFP-labeled clones of RpL14/+, salE>GFP cells stained with anti-phosphorylated eIF2α. (C-C”) Xrp1-lacZ/+ background eye disc bearing eyFLP-induced MARCM clones of Hel25E-/- cells stained with anti-β-gal. (D-D”) Wild-type background eye disc bearing eyFLP-induced MARCM clones of Hel25E-/- cells stained with anti-phosphorylated eIF2α. (E) Quantification of the intensity of anti-β-gal staining in clones shown in A and S5.A. Error bars, SD; ***p<0.001 by Welch’s t-test. (F) Quantification of the intensity of anti-phosphorylated eIF2α staining in clones shown in B-D. Error bars, SD; ***p<0.001 by Dunnett test. (G) Quantification of the intensity of anti-β-gal staining in clones shown in E and S5.B. Error bars, SD; ***p<0.001 by Dunnett test. (H) Quantification of the intensity of anti-phosphorylated eIF2α staining in clones shown in F-H. Error bars, SD; ***p<0.001 by Dunnett test. Scale bars, 50μm. (I-I”) Wild-type background wing disc bearing hsFLP-induced GFP-labeled clones of RpL14/+, salE>GFP + PERK RNAi cells stained with anti-phosphorylated eIF2α. (J-J”) Wild-type background wing disc bearing hsFLP-induced GFP-labeled clones of RpL14/+, salE>GFP + Xrp1 RNAi cells stained with anti-phosphorylated eIF2α. (K-K”) Wild-type background eye disc bearing eyFLP-induced MARCM clones of Hel25E-/- + PERK RNAi cells stained with anti-phosphorylated eIF2α. (L-L”) Wild-type background eye disc bearing eyFLP-induced MARCM clones of Hel25E-/- + Xrp1 RNAi cells stained with anti-phosphorylated eIF2α. See S1 Text for detailed genotypes.

Xrp1-mediated phosphorylation of eIF2α commonly drives cell competition.

(A-A”) Xrp1-lacZ/+ background wing disc bearing hsFLP-induced GFP-labeled clones of RpL14/+, salE>GFP cells stained with anti-β-gal. (B-B”) Wild-type background wing disc bearing hsFLP-induced GFP-labeled clones of RpL14/+, salE>GFP cells stained with anti-phosphorylated eIF2α. (C-C”) Xrp1-lacZ/+ background eye disc bearing eyFLP-induced MARCM clones of Hel25E-/- cells stained with anti-β-gal. (D-D”) Wild-type background eye disc bearing eyFLP-induced MARCM clones of Hel25E-/- cells stained with anti-phosphorylated eIF2α. (E) Quantification of the intensity of anti-β-gal staining in clones shown in A and S5.A. Error bars, SD; ***p<0.001 by Welch’s t-test. (F) Quantification of the intensity of anti-phosphorylated eIF2α staining in clones shown in B-D. Error bars, SD; ***p<0.001 by Dunnett test. (G) Quantification of the intensity of anti-β-gal staining in clones shown in E and S5.B. Error bars, SD; ***p<0.001 by Dunnett test. (H) Quantification of the intensity of anti-phosphorylated eIF2α staining in clones shown in F-H. Error bars, SD; ***p<0.001 by Dunnett test. Scale bars, 50μm. (I-I”) Wild-type background wing disc bearing hsFLP-induced GFP-labeled clones of RpL14/+, salE>GFP + PERK RNAi cells stained with anti-phosphorylated eIF2α. (J-J”) Wild-type background wing disc bearing hsFLP-induced GFP-labeled clones of RpL14/+, salE>GFP + Xrp1 RNAi cells stained with anti-phosphorylated eIF2α. (K-K”) Wild-type background eye disc bearing eyFLP-induced MARCM clones of Hel25E-/- + PERK RNAi cells stained with anti-phosphorylated eIF2α. (L-L”) Wild-type background eye disc bearing eyFLP-induced MARCM clones of Hel25E-/- + Xrp1 RNAi cells stained with anti-phosphorylated eIF2α. See S1 Text for detailed genotypes.

Discussion

Our genetic data reveal that Xrp1-mediated phosphorylation of eIF2α plays a critical role in driving cell competition triggered by M/+ mutation, Hel25E mutation, or ER stress. It has been shown that loser cells in M/+ or Hel25E-induced cell competition commonly show lower protein synthesis levels compared to wild-type winners, but the mechanism by which they reduce protein synthesis remained unknown [15,29]. Our present data provide a mechanistic explanation that it is caused by global inhibition of translation by eIF2α phosphorylation. Importantly, our data show that eIF2α phosphorylation is also required for the induction of loser’s death. Similarly, recent studies have shown that M/+ cells experience proteotoxic stress and thus induce phosphorylation of eIF2α, which acts as a driver of M/+ cell competition [30-33]. Whether the global inhibition of protein synthesis or other downstream event(s) of eIF2α phosphorylation such as upregulation of UPR-activating transcription factor ATF4 is linked to their apoptosis is an outstanding important question. Notably, Xrp1 has been implicated to be a functional homolog of mammalian CHOP, a transcription factor that is induced by ATF4 [29]. Consistently, we found that overexpression of PERK leads to upregulation of Xrp1 expression (S6 Fig). In addition, recent studies have shown that overexpression of PERK or ATF4 upregulates Xrp1 [32,34]. These observations suggest that Xrp1 acts both upstream and downstream of the PERK-eIF2α axis in a positive feedback loop. The upstream Xrp1 may activate the PERK-eIF2α axis via upregulation of PERK expression [33]. Alternatively, Xrp1 upregulation may cause ER stress, which induces PERK activation. These are also important issues that should be addressed in the future studies. It would also be important to clarify the mechanistic relationship between the Xrp1-PERK-eIF2α axis and other cell competition regulators so far reported, which include autophagy [6], Toll-related receptor signaling [28,35], Flower [36], and Azot [37]. In addition, it is crucial to understand in the future studies how Xrp1 is commonly upregulated by different cell competition triggers. Nonetheless, our current study identified a critical signaling axis that converge a variety of cellular stress signaling to a common cell competition pathway via upregulation of Xrp1. While studies in Drosophila have uncovered several triggers of cell competition and the downstream molecules essential for cell elimination [1], the physiological triggers of cell competition within animals have remained unknown. Our genetic screen identified a series of mutations that cause ER stress as triggers of cell competition. ER stress is induced by the accumulation of unfolded or misfolded proteins in the ER via a variety of intracellular factors under both physiological and pathological conditions [38-41], leading to activation of the evolutionarily conserved PERK-eIF2α pathway [19,42]. The PERK-eIF2α pathway is also activated by the conserved ISR signaling triggered by cell extrinsic factors such as amino acid deprivation, glucose deprivation, hypoxia, and viral infection. Moreover, Xrp1 expression is induced by genotoxic stresses such as irradiation [43]. Thus, our finding that the Xrp1-PERK-eIF2α axis commonly drives cell competition has opened the way to understanding the physiological and pathological role of cell competition. Intriguingly, mutations in the fused in sarcoma (FUS) gene, which are linked to amyotrophic lateral sclerosis (ALS), cause ER stress [40] and the Drosophila FUS orthologue cabeza genetically interacts with Xrp1[41]. In addition, it has been shown that cell competition plays a role in neurodegenerative diseases [44,45], which are thought to be driven by ER stress. Further studies on the physiological and pathological regulations of Xrp1-PERK-eIF2α signaling would unveil the in vivo role of cell competition.

Materials and methods

Fly strain and generation of clones

Drosophila melanogaster strains were raised in vials containing a standard cornmeal-sucrose-yeast food, maintained at 25°C, unless otherwise stated. Sex of larvae dissected for most imaginal disc studies was not differentiated. Fluorescently-labeled mitotic clones (MARCM clones) were produced in larval imaginal discs using the following strains: tub-Gal80, FRT40A; eyFLP6, Act>y+>Gal4, UAS–GFP (40A tester), eyFLP1, UAS-Dicer2; Tub-Gal80, FRT40A; Act>y+>Gal4, UAS-GFP (40A Dicer2 tester), and Tub-Gal80, FRT40A; UAS-His2AmRFP, eyFLP6, Act>y+>Gal4 (40A RFP tester). Clones of RpL14/+ cells were generated using the following tester strains: hs-FLP, UAS-GFP::CD8; M, salE>gRpL14>Gal4/TM6B (L. Johnston). Flies were allowed to lay eggs for 6 hours. Parental flies were removed, and larval progeny were heat-shocked 48 hours later at 37°C and analyzed using a fluorescence binocular or confocal microscope 72 hours later for clone measurements. Additional strains used are as follows: PERK-RNAi (NIG #GL00030), UAS-wol (FlyORF #F003019), UAS-dcr2 (Bloomington #24650), UAS-Xbp1-GFP (Bloomington #60731), Xrp1-RNAi (Bloomington #34521), Xrp1-lacZ (Bloomington #11569), UAS-Xrp1 (FlyORF #F000655), UAS-Xrp1short [46], Gcn2-RNAi (BDSC #35355), UAS-CD8-PARP-Vinus (Bloomington #65609), wol [24] and UAS-GFP (BDSC).

Genetic screen for ccp mutants

For a genetic screen for ccp mutants, male flies carrying an isogenized FRT40A chromosome (w/Y; FRT40A) were fed 25mM EMS and then mated to w; Kr/CyO females. Single F1 males of the genotype FRT40A*/CyO were each crossed to 4–5 females of the genotype eyFLP1; Ubi-GFP, FRT40A/CyO (40A Ubi-GFP tester). Clone areas of white mutant cells compared to that of red-pigmented wild-type cells in the F2 eyes (non-CyO adult flies) were analyzed as the primary screen. In the secondary screen, wild-type cells surrounding mutant cells were removed using the GMR-hid, FRT40A, l(2)Cl-L’/CyO; ey-Gal4 UAS-FLP (40A CL tester) strain.

Whole genome sequencing

Genomic DNA was extracted from 25–40 trans-heterozygous adult flies according to a standard phenol-chloroform method or NucleoSpin Tissue XS (MACHEREY-NAGEL). 150-bp paired-end sequencing at 30× coverage on Illumina Hi-Seq 4000 or Next Seq 500 was performed. The sequence reads were mapped to dm6 reference genome (UCSC version dm6) using BWA-MEM algorithm (Burrows-Wheeler Aligner) and calibrated based on Genome Analysis Tool-Kit (GATK) Best Practices (Broad Institute, http://www.broad.mit.edu). Genetic variants information was obtained by HaplotypeCaller in GATK. EMS-induced mutations were discriminated by the parental strain (‘mutator’) background and Drosophila Genetics Reference Panel (DGRP) database sequences. The mutations were then annotated and classified by SnpEff based on BDGP6.85 reference genome.

Antibody staining

Wandering third instar larvae were dissected and fixed with 4% paraformaldehyde for 20 min at room temperature and blocked with 5% donkey serum and 0.1% Triton X-100 solution for 20 min. For immunostaining, samples were incubated at 4°C overnight with primary antibodies, and then incubated with Alexa Fluor 405-, 488-, 546-, or 647-conjugated secondary antibodies (1:200, Thermo Fisher Scientific) for 2 hours at room temperature. The following primary antibodies were used: rabbit anti-cleaved Drosophila DCP1 (Cell Signaling Technology, 1:100), rabbit anti-phospho-eIF2α (Cell Signaling Technology, 1:100), rabbit anti-GFP (Nacalai Tesque, 1:250), chicken anti-β-gal (Abcam, 1:1000), anti-cleaved PARP antibody (Cell Signaling Technology, 1:200).

Protein synthesis analysis

Nascent protein synthesis was analyzed using Click-iT Plus OPP Alexa Fluor 647 Protein Synthesis Assay Kit (Thermo Fisher Scientific). Wandering L3 larvae were dissected in Schneider’s medium containing 5% FBS (Thermo Fisher Scientific), and incubated in 20μM OPP for 10min. After OPP incorporation, larvae were fixed in 4% paraformaldehyde for 20 min at room temperature and subsequently detected OPP by following manufacturer’s manual.

Image analysis

Confocal images were taken with SP8 Leica confocal microscope. Total clone area/disc are (%) was calculated per each discs using ImageJ software (NIH).

Statistical analysis

R (ver. 4.1.1) was used for data plotting and statistical analyses. Raw data are shown as dot plot. The significance level was set to p < 0.05. Data were analyzed by Welch’s t-test by single comparison. Data were analyzed by Steel-Dwass test or Dunnett test for multiple comparisons. Details of statistical evaluations and the numbers of samples were indicated in the figure legends. All data in bar graphs are expressed as mean ± SD. No statistical methods were used to predetermine sample size. All n numbers represent biological replicates. Each experiment was independently performed at least three times. All experiments were not randomized or blinded. In Fig 5E–5H, the relative intensity of Xrp1-lacZ or p-eIF2α signal in GFP-positive cells to GFP-negative cells was measured.

ER stress underlies several different genetic contexts of cell competition.

(A) A list of isolated ccp mutants that cause ER stress.and the schematic representations of the general domain structures of Elp3, Calr, and Wol, with mutations detected by the whole genome sequencing. (B) Eye disc bearing eyFLP-induced MARCM clones of mCD8-PARP-Vinus-exprssing wolccp-28-/- cells stained with anti-cleaved PARP (which detects caspase-activated dying cells). (C) Adult eye bearing eyFLP-induced mosaics of Elp3[ccp-2]-/- clones (left panel) or Elp3[ccp-2]-/- clones with surrounding wild-type tissue removed by GMR-hid and cell-lethal mutations (middle panel). Eye disc bearing eyFLP-induced MARCM clones (RFP) of Elp3[ccp-2]-/- + UAS-Xbp1-GFP cells stained with anti-GFP (right panels). (D) Adult eye bearing eyFLP-induced mosaics of Calr [ccp-21]-/- clones (left panel) or Calr [ccp-21]-/- clones with surrounding wild-type tissue removed by GMR-hid and cell-lethal mutations (middle panel). Eye disc bearing eyFLP-induced MARCM clones (RFP) of Calr [ccp-21]-/- + UAS-Xbp1-GFP cells stained with anti-GFP (right panels). Scale bars, 50μm. (E) Wild-type (left) or wolccp-28-/- (right) eye disc bearing UAS-Xbp1-GFP. In both tissues, wild-type or wolccp-28-/- clones were induced in the eye disc and then surrounding wild-type tissue was removed by GMR-hid and cell-lethal mutations. Scale bars, 50μm. (F) Wild-type (left) or wolccp-28-/- (middle) eye disc stained with anti-cleaved Dcp-1. In both tissues, wild-type or wolccp-28-/- clones were induced in the eye disc and then surrounding wild-type tissue was removed by GMR-hid and cell-lethal mutations. Scale bars, 50μm. (right) Quantification of the number of dying cells in wild-type or wolccp-28-/- eye discs. Error bars, SD; ***p<0.001 by Welch’s t-test. See S1 Text for detailed genotypes. (TIF) Click here for additional data file.

GCN2 is required neither for eIF2α phosphorylation nor cell competition.

(A) Eye disc bearing eyFLP-induced MARCM clones of wolccp-28-/- + Gcn2-RNAi cells stained with anti-phosphorylated eIF2α. Quantification of the relative size of GFP-labeled clones or relative intensity of anti-phosphorylated eIF2α staining shown in A. Error bars, SD; ***p<0.001 by Welch`s t-test. Scale bars, 50μm. See S1 Text for detailed genotypes. (TIF) Click here for additional data file.

Xrp1 knockdown does not suppress ER stress caused by wol mutations.

(A) Eye disc bearing eyFLP-induced MARCM clones of wolccp-28-/- + Xrp1-RNAi + UAS-Xbp1-GFP cells stained with anti-GFP. See S1 Text for detailed genotypes. (TIF) Click here for additional data file.

Xrp1 causes PERK-mediated phosphorylation of eIF2α.

(A) Eye disc bearing eyFLP-induced MARCM clones of UAS-GFP cells stained with anti-phosphorylated eIF2α. (B) Eye disc bearing eyFLP-induced MARCM clones of PERK RNAi cells stained with anti-phosphorylated eIF2α. (C) Wing disc overexpressing GFP, Xrp1short in the wing pouch by the nub-Gal4 driver stained with anti-phosphorylated eIF2α. (D) Wing disc overexpressing GFP, Xrp1FlyORF (FlyORF: F000655) in the wing pouch by the nub-Gal4 driver stained with anti-phosphorylated eIF2α. Scale bars, 50μm. See S1 Text for detailed genotypes. (TIF) Click here for additional data file.

Xrp1 expression is induced at the upstream of PERK.

(A) Xrp1-lacZ/+ background wing disc bearing hsFLP-induced GFP-labeled clones of RpL14/+, salE>GFP + PERK-RNAi cells stained with anti-β-gal. (B) Xrp1-lacZ/+ background eye disc bearing eyFLP-induced MARCM clones of Hel25E + PERK RNAi cells stained with anti-β-gal. Scale bars, 50μm. See S1 Text for detailed genotypes. (TIF) Click here for additional data file.

PERK induces Xrp1 expression.

(A) Xrp1-lacZ/+ background wing disc overexpressing GFP in the wing pouch by the nub-Gal4 driver stained with anti-β-gal. (B) Xrp1-lacZ/+ background wing disc overexpressing GFP, PERK in the wing pouch by the nub-Gal4 driver stained with anti-β-gal. Scale bars, 50μm. See S1 Text for detailed genotypes. (TIF) Click here for additional data file.

Detailed genotypes used in each figure.

(DOCX) Click here for additional data file.

Transfer Alert

This paper was transferred from another journal. As a result, its full editorial history (including decision letters, peer reviews and author responses) may not be present. 20 May 2021 Dear Tatsushi, Thank you very much for submitting your Research Article entitled 'Cell competition is driven by Xrp1-mediated phosphorylation of eukaryotic initiation factor 2α' to PLOS Genetics. The manuscript was fully evaluated at the editorial level and by independent peer reviewers. The reviewers appreciated the attention to an important problem, but raised some  concerns about the current manuscript. Based on the reviews, we will not be able to accept this version of the manuscript, but we would be willing to review a revised version. Should you decide to revise the manuscript for further consideration here, your revisions should address the specific points made by each reviewer. We will also require a detailed list of your responses to the review comments and a description of the changes you have made in the manuscript. If you decide to revise the manuscript for further consideration at PLOS Genetics, please aim to resubmit within the next 60 days, unless it will take extra time to address the concerns of the reviewers, in which case we would appreciate an expected resubmission date by email to plosgenetics@plos.org. If present, accompanying reviewer attachments are included with this email; please notify the journal office if any appear to be missing. They will also be available for download from the link below. You can use this link to log into the system when you are ready to submit a revised version, having first consulted our Submission Checklist. To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols Please be aware that our data availability policy requires that all numerical data underlying graphs or summary statistics are included with the submission, and you will need to provide this upon resubmission if not already present. In addition, we do not permit the inclusion of phrases such as "data not shown" or "unpublished results" in manuscripts. All points should be backed up by data provided with the submission. While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool.  PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. PLOS has incorporated Similarity Check, powered by iThenticate, into its journal-wide submission system in order to screen submitted content for originality before publication. Each PLOS journal undertakes screening on a proportion of submitted articles. You will be contacted if needed following the screening process. To resubmit, use the link below and 'Revise Submission' in the 'Submissions Needing Revision' folder. [LINK] We are sorry that we cannot be more positive about your manuscript at this stage. Please do not hesitate to contact us if you have any concerns or questions. Yours sincerely, Norbert Perrimon Associate Editor PLOS Genetics Gregory P. Copenhaver Editor-in-Chief PLOS Genetics Reviewer's Responses to Questions Comments to the Authors: Please note here if the review is uploaded as an attachment. Reviewer #1: Summary In this manuscript, the authors show that mutations leading to ER stress are able to induce cell competition, which confirms previous studies that proteotoxic stresses is a driving force in Minute based cell competition (Baumgartner et al.,2021). In an EMS screen for cell competition factors they found genes involved in ER stress and the UPR. They then argue that these factors induce cell competition. Building on the connection they position Xrp1 upstream of the stress response. Increased expression of Xrp1 is suggested to increase of peIF2α levels, which in turn reduce protein translation. The novelty of this paper derives from the description of the link between Xrp1 and PERK/ peIF2α. This connection will be of general interest. The report will certainly stimulate further work. Unfortunately, not all the conclusions are equally well substantiated. Additional experiments and/or extended discussion would be beneficial. Major comments: - The title of the paper is “Cell competition is driven by Xrp1-mediated phosphorylation of eukaryotic initiation factor 2α”. The implied “Xrp1-PERK-eIF2α axis” places Xrp1 upstream of PERK. While intriguing the provided evidence does not exclude that Xrp1 acts in a positive feedback loop. Based on the timing of the experiments can the authors exclude this alternative? How do the authors envisage that Xrp1 mediates the phosphorylation of eukaryotic initiation factor 2α? Xrp1 is a nuclear/nucleolar transcription factor PERK located on the ER membrane. Additional experiments and discussion should be provided or the title adjusted. - The key experiments for their claim are presented in Figure 3. Xrp1 knock-down and overexpression are presented. In a wol-/- clone p-eIF2α levels are increased. This is reduced when Xrp1 is knocked down. Overexpression of Xrp1 increases p-eIF2α levels. The presented results are suggestive, but the quantification suggests a high degree of variability. An increased sample size would be helpful. Alternatively, it could help to express Xrp1 in, for example, the posterior compartment and compare the resulting p-eIF2α levels to those in the anterior compartment. There seems to be a significant variation in the background levels of p-eIF2α and this alternative approach may simplify the analysis and interpretation. Also, not all wol -/- clones seem to have elevated p-eIF2α (Figure 2a). This should be discussed. - The data in figure 3F-H is not convincing, because only a weak upregulation of p-eIF2α can be seen upon Xrp1 overexpression. To exclude trivial explanations the authors should compare p-eIF2α expression in a control with a random UAS line (e.g. GFP or LacZ) and also the effect of PERKRNAi without Xrp1 overexpression. As Xrp1 overexpressing clones are very small, they could either induce bigger clones or show the effect of Xrp1 overexpression in compartments. - They use two different UAS-lines of Xrp1 (Figure 3 and Figure S3), in which they name Xrp1 differently (Xrp1short and Xrp1). They should clarify the difference between the two lines and prove that both lines lead to the same phenotype. - Data shown in figure 5 is not convincing. Their depicted Minute clone in 5a does not reflect the data of their graph in 5e. In Figure 5, they should show full discs containing several clones for all experiments. Showing additional close-ups of clones would also help. To corroborate the main message of the paper: the authors should quantify how the Xrp1 LacZ and peIF2α intensities are changing during cell competition when using Xrp1RNAi or PERKRNAi. Minor comments: - In places the text seems hastily assembled, which detracts unnecessarily from the otherwise thought-provoking data. The authors should carefully revise the text, as it is not updated on recent literature from their field and their citation style is not consistent. At the beginning of this year two studies have independently shown that proteotoxic stress is induced by a Minute situation and is essential for cell competition (Baumgartner et al., 2021, Recasens-Alvarez et al., 2021). Citing these is needed to properly place the claims in the context of the current literature. - Authors should try to explain the link of Xrp1 and PERK in more detail. They should try to integrate what is known of endoplasmic reticulum unfolded protein responses and how this leads to an increased peIF2α. Which model would the authors propose how Xrp1 functions in their PERK-Xrp1- peIF2α model? What factors could be upstream of Xrp1? Blanco et al., proposed that the mammalian homolog of Xrp1 might be CHOP/ddit3. This would put Xrp1 below PERK. Discussing this would help place the claims in context. - A further missing reference connecting ER stress and Xrp1 is Mallik et al.,2018. They reported a role for Xrp1 in the toxicity of the ALS-associated FUS orthologue caz mutant phenotype. - Given the narrowness of the clones in Figure 1J/K, it is somewhat debatable to discuss apoptosis on the border vs middle of the clone. Hopefully alternative images could be provided. Reviewer #2: Ochi, Igaki review: In this very nice body of work, the authors carried out an EMS-based genetic screen using mitotic clones in the developing Drosophila eye to look for inducers of cell competition. They screened 12,500 mutant chromosomes and identified 87 mutations that caused cells to be competitively eliminated from mosaic eye (named ccp mutants). Genomic sequencing revealed mutations in three genes involved in ER stress: Elp3, calreticulin, and wollknaeuel (wol), involved in N-linked protein glycosylation in ER. Focusing on wol mutants, they found that mutants did not alter normal eye size (but see comments 1 and 2 below), but when with WT cells in mosaic eye discs wol mutant cells were eliminated via apoptosis (p35 prevented their elimination). Cell death was observed at clone boundaries, which is also seen in many contexts of cell competition. The authors found that Xrp1 was upregulated in the wol clones, and p-eIF2a was increased, consistent with activation of the integrated stress response; accordingly, a reduction in OPP signal in the clones indicated that protein synthesis was downregulated. Clonal Xrp1 over-expression led to similar increases in p-eIF2a, which was suppressed by co-expression of PERK-RNAi. All of these results are consistent with activation of the ISR due to ER stress in the mutant cells. The authors then asked if ISR activation occurred in other competitive contexts by looking at mosaic discs containing clones of either Rpl14+/- cells, or Hel25E-/- cells. The mutant cells of both genotype are normally out competed by the WT cells, but when either Xrp1 or the ER stress kinase PERK was knocked down in the mutant clones, the cells were no longer eliminated. Altogether, their data suggest that the Xrp1-PERK-eIF2α axis is commonly activated in these different genetic contexts of cell competition, leading to a reduction in protein synthesis and induction of apoptosis in the loser cells. Intriguingly, GCN2, another ER stress sensing eIF2a kinase, was found not to be required, suggesting some interesting specificity. The experiments in the paper are well done and nicely presented. The paper is also well written and for the most part the authors are appropriately circumspect in their conclusions (see comment #4 below). Work published very recently by others showed that Rp haploinsufficiency results in severe proteotoxic stress, activation of the ISR, and increased cell autonomous cell death as well as heightened cell competition in mosaics, and that Xrp1 and its partner Irbp18 are involved (Baumgartner 2021 and Recausins 2021). The work of Igaki and his colleagues work adds to this and represents an important advance to the field, as it describes additional mutations that, along with the Rp+/- group, appear to form a common mechanism underlying cell competition in mosaic tissues. Comments: 1. Although the very recently published papers from the Piddini and Vincent labs (Baumgartner 2021 and Recausins 2021) are not cited here (but should be), given those lab’s results that Rp+/- cells exhibit severe proteotoxic stress even in the absence of cell competition yet survive to form an animal after a developmental delay, I wonder if wol mutants show similar phenotypes: e.g, if the mutant tissues/animals were viable but developmentally delayed with sporadic cell autonomous cell death in the absence of cell competition. It would be enlightening to look at eye or wing development for timing and for cell death during the larval growth period, if the wol-/- mutants are viable (or if heterozygous wol mutants show increased ER stress). 2. Related to the thoughts in #1, the entirely wol mutant eye shown in Fig. 1 is smaller and looks like it has a reduced number of ommatidia, although they are regularly arrayed. Do the disc cells express Xbp1 or other markers that would indicate that they suffer ER stress? The way the wol mutant eyes were generated for Fig. 1 was via mosaicism coupled with WT-linked cell-lethality, to eliminate all WT cells from the eye disc. Since the eye seems slightly smaller than normal, could it be that compensatory growth is prevented by the absence of WT cells? If so, is this accompanied by a lack of developmental delay? Either way, such information on cell-autonomous cell death and developmental delay in the mutants would be very informative for the field. 3. Are Calr and Elp3 mutants also viable (+/- and/or -/-)? 4. Since not every context of cell competition was tested the title to Supp Fig. 1 seems a bit overstated. A suggesting is to change it to “ER stress underlies several different genetic contexts of cell competition”. 5. It is possible that the GCN2 RNAi is weak even with the addition of Dicer-2, thus yielding no suppression of competitive elimination of wol mutant cells. Do the authors know how efficient the GCN2 RNAi is in vivo? 5. In Supp Fig. 3 the label Xbp1s-GFP should be corrected to Xbp1-GFP ********** Have all data underlying the figures and results presented in the manuscript been provided? Large-scale datasets should be made available via a public repository as described in the PLOS Genetics data availability policy, and numerical data that underlies graphs or summary statistics should be provided in spreadsheet form as supporting information. Reviewer #1: None Reviewer #2: Yes ********** PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: Yes: Laura Johnston 13 Oct 2021 Submitted filename: Response to Reviewers.ver2.pdf Click here for additional data file. 19 Nov 2021 Dear Dr Igaki, We are pleased to inform you that your manuscript entitled "Cell competition is driven by Xrp1-mediated phosphorylation of eukaryotic initiation factor 2α" has been editorially accepted for publication in PLOS Genetics. Congratulations! Before your submission can be formally accepted and sent to production you will need to complete our formatting changes, which you will receive in a follow up email. Please be aware that it may take several days for you to receive this email; during this time no action is required by you. Please note: the accept date on your published article will reflect the date of this provisional acceptance, but your manuscript will not be scheduled for publication until the required changes have been made. Once your paper is formally accepted, an uncorrected proof of your manuscript will be published online ahead of the final version, unless you’ve already opted out via the online submission form. If, for any reason, you do not want an earlier version of your manuscript published online or are unsure if you have already indicated as such, please let the journal staff know immediately at plosgenetics@plos.org. In the meantime, please log into Editorial Manager at https://www.editorialmanager.com/pgenetics/, click the "Update My Information" link at the top of the page, and update your user information to ensure an efficient production and billing process. Note that PLOS requires an ORCID iD for all corresponding authors. Therefore, please ensure that you have an ORCID iD and that it is validated in Editorial Manager. To do this, go to ‘Update my Information’ (in the upper left-hand corner of the main menu), and click on the Fetch/Validate link next to the ORCID field.  This will take you to the ORCID site and allow you to create a new iD or authenticate a pre-existing iD in Editorial Manager. If you have a press-related query, or would like to know about making your underlying data available (as you will be aware, this is required for publication), please see the end of this email. If your institution or institutions have a press office, please notify them about your upcoming article at this point, to enable them to help maximise its impact. Inform journal staff as soon as possible if you are preparing a press release for your article and need a publication date. Thank you again for supporting open-access publishing; we are looking forward to publishing your work in PLOS Genetics! Yours sincerely, Norbert Perrimon Associate Editor PLOS Genetics Gregory P. Copenhaver Editor-in-Chief PLOS Genetics www.plosgenetics.org Twitter: @PLOSGenetics ---------------------------------------------------- Comments from the reviewers (if applicable): Reviewer's Responses to Questions Comments to the Authors: Please note here if the review is uploaded as an attachment. Reviewer #1: The authors answered to all comments and their additional experiments solidified their claims. Their work is interesting for the cell competition field by adding a new system of cell competition as well as providing a convincing link between the proteotoxic stress and Xrp1. As I wrote before, I am convinced that this report will stimulate further work. All in all, the authors satisfactorily addressed most of my previous concerns with this revision. Reviewer #2: The authors have addressed the reviewers comments. While I am still not in complete agreement with the interpretation that the ER stress response is a "mechanism of cell death" in these contexts of cell competition (as opposed to ER stress, not the response, as a mechanism leading to lower fitness), the data are important. It is a debate that will no doubt be continued in the literature. ********** Have all data underlying the figures and results presented in the manuscript been provided? Large-scale datasets should be made available via a public repository as described in the PLOS Genetics data availability policy, and numerical data that underlies graphs or summary statistics should be provided in spreadsheet form as supporting information. Reviewer #1: None Reviewer #2: Yes ********** PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No ---------------------------------------------------- Data Deposition If you have submitted a Research Article or Front Matter that has associated data that are not suitable for deposition in a subject-specific public repository (such as GenBank or ArrayExpress), one way to make that data available is to deposit it in the Dryad Digital Repository. As you may recall, we ask all authors to agree to make data available; this is one way to achieve that. A full list of recommended repositories can be found on our website. The following link will take you to the Dryad record for your article, so you won't have to re‐enter its bibliographic information, and can upload your files directly: http://datadryad.org/submit?journalID=pgenetics&manu=PGENETICS-D-21-00498R1 More information about depositing data in Dryad is available at http://www.datadryad.org/depositing. If you experience any difficulties in submitting your data, please contact help@datadryad.org for support. Additionally, please be aware that our data availability policy requires that all numerical data underlying display items are included with the submission, and you will need to provide this before we can formally accept your manuscript, if not already present. ---------------------------------------------------- Press Queries If you or your institution will be preparing press materials for this manuscript, or if you need to know your paper's publication date for media purposes, please inform the journal staff as soon as possible so that your submission can be scheduled accordingly. Your manuscript will remain under a strict press embargo until the publication date and time. This means an early version of your manuscript will not be published ahead of your final version. PLOS Genetics may also choose to issue a press release for your article. If there's anything the journal should know or you'd like more information, please get in touch via plosgenetics@plos.org. 30 Nov 2021 PGENETICS-D-21-00498R1 Cell competition is driven by Xrp1-mediated phosphorylation of eukaryotic initiation factor 2α Dear Dr Igaki, We are pleased to inform you that your manuscript entitled "Cell competition is driven by Xrp1-mediated phosphorylation of eukaryotic initiation factor 2α" has been formally accepted for publication in PLOS Genetics! Your manuscript is now with our production department and you will be notified of the publication date in due course. The corresponding author will soon be receiving a typeset proof for review, to ensure errors have not been introduced during production. Please review the PDF proof of your manuscript carefully, as this is the last chance to correct any errors. Please note that major changes, or those which affect the scientific understanding of the work, will likely cause delays to the publication date of your manuscript. Soon after your final files are uploaded, unless you have opted out or your manuscript is a front-matter piece, the early version of your manuscript will be published online. The date of the early version will be your article's publication date. The final article will be published to the same URL, and all versions of the paper will be accessible to readers. Thank you again for supporting PLOS Genetics and open-access publishing. We are looking forward to publishing your work! With kind regards, Agnes Pap PLOS Genetics On behalf of: The PLOS Genetics Team Carlyle House, Carlyle Road, Cambridge CB4 3DN | United Kingdom plosgenetics@plos.org | +44 (0) 1223-442823 plosgenetics.org | Twitter: @PLOSGenetics
  45 in total

1.  Minutes: mutants of drosophila autonomously affecting cell division rate.

Authors:  G Morata; P Ripoll
Journal:  Dev Biol       Date:  1975-02       Impact factor: 3.582

2.  Endoplasmic reticulum stress enhances endocytosis in calreticulin deficient cells.

Authors:  Hamid Massaeli; Divya Viswanathan; Dhanya Govind Pillai; Nasrin Mesaeli
Journal:  Biochim Biophys Acta Mol Cell Res       Date:  2018-12-05       Impact factor: 4.739

3.  An ancient defense system eliminates unfit cells from developing tissues during cell competition.

Authors:  S N Meyer; M Amoyel; C Bergantiños; C de la Cova; C Schertel; K Basler; L A Johnston
Journal:  Science       Date:  2014-12-05       Impact factor: 47.728

4.  scribble mutants cooperate with oncogenic Ras or Notch to cause neoplastic overgrowth in Drosophila.

Authors:  Anthony M Brumby; Helena E Richardson
Journal:  EMBO J       Date:  2003-11-03       Impact factor: 11.598

5.  A Dynamic Unfolded Protein Response Contributes to the Control of Cortical Neurogenesis.

Authors:  Sophie Laguesse; Catherine Creppe; Danny D Nedialkova; Pierre-Paul Prévot; Laurence Borgs; Sandra Huysseune; Bénédicte Franco; Guérin Duysens; Nathalie Krusy; Gabsang Lee; Nicolas Thelen; Marc Thiry; Pierre Close; Alain Chariot; Brigitte Malgrange; Sebastian A Leidel; Juliette D Godin; Laurent Nguyen
Journal:  Dev Cell       Date:  2015-12-07       Impact factor: 12.270

6.  Intrinsic tumor suppression and epithelial maintenance by endocytic activation of Eiger/TNF signaling in Drosophila.

Authors:  Tatsushi Igaki; Jose Carlos Pastor-Pareja; Hiroka Aonuma; Masayuki Miura; Tian Xu
Journal:  Dev Cell       Date:  2009-03       Impact factor: 12.270

Review 7.  Cell competition from development to neurodegeneration.

Authors:  Carolina Costa-Rodrigues; Joana Couceiro; Eduardo Moreno
Journal:  Dis Model Mech       Date:  2021-06-30       Impact factor: 5.758

Review 8.  The integrated stress response.

Authors:  Karolina Pakos-Zebrucka; Izabela Koryga; Katarzyna Mnich; Mila Ljujic; Afshin Samali; Adrienne M Gorman
Journal:  EMBO Rep       Date:  2016-09-14       Impact factor: 8.807

9.  Whole-Genome Sequencing and iPLEX MassARRAY Genotyping Map an EMS-Induced Mutation Affecting Cell Competition in Drosophila melanogaster.

Authors:  Chang-Hyun Lee; Gerard Rimesso; David M Reynolds; Jinlu Cai; Nicholas E Baker
Journal:  G3 (Bethesda)       Date:  2016-10-13       Impact factor: 3.154

10.  Culling Less Fit Neurons Protects against Amyloid-β-Induced Brain Damage and Cognitive and Motor Decline.

Authors:  Dina S Coelho; Silvia Schwartz; Marisa M Merino; Barbara Hauert; Barbara Topfel; Colin Tieche; Christa Rhiner; Eduardo Moreno
Journal:  Cell Rep       Date:  2018-12-26       Impact factor: 9.423

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  4 in total

Review 1.  Cell competition in development, homeostasis and cancer.

Authors:  Sanne M van Neerven; Louis Vermeulen
Journal:  Nat Rev Mol Cell Biol       Date:  2022-09-29       Impact factor: 113.915

2.  The transcription factor Xrp1 orchestrates both reduced translation and cell competition upon defective ribosome assembly or function.

Authors:  Marianthi Kiparaki; Chaitali Khan; Virginia Folgado-Marco; Jacky Chuen; Panagiotis Moulos; Nicholas E Baker
Journal:  Elife       Date:  2022-02-18       Impact factor: 8.713

Review 3.  The homeostatic regulation of ribosome biogenesis.

Authors:  Chunyang Ni; Michael Buszczak
Journal:  Semin Cell Dev Biol       Date:  2022-04-16       Impact factor: 7.499

4.  Serotonergic neuron ribosomal proteins regulate the neuroendocrine control of Drosophila development.

Authors:  Lisa Patricia Deliu; Michael Turingan; Deeshpaul Jadir; Byoungchun Lee; Abhishek Ghosh; Savraj Singh Grewal
Journal:  PLoS Genet       Date:  2022-09-01       Impact factor: 6.020

  4 in total

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