SUMMARY
Shaping of developing organs requires dynamic regulation of force and resistance to achieve precise outcomes, but how organs monitor tissue mechanical properties is poorly understood. We show that in developing Drosophila follicles (egg chambers), a single pair of cells performs such monitoring to drive organ shaping. These anterior polar cells secrete a Matrix Metalloproteinase (MMP) which specifies the appropriate degree of tissue elongation, rather than hyper- or hypo-elongated organs. MMP production is negatively regulated by basement membrane (BM) mechanical properties, which are sensed through focal adhesion signaling and autonomous contractile activity; MMP then reciprocally regulates BM remodeling, particularly at the anterior region. Changing BM properties at remote locations alone is sufficient to induce a remodeling response in polar cells. We propose that this small group of cells senses both local and distant stiffness cues to produce factors that pattern the organ’s BM mechanics, ensuring proper tissue shape and reproductive success.
INTRODUCTION
Fidelity is a challenge faced by all organisms throughout development. Fidelity in embryonic fate patterning must cope with noise from intrinsically stochastic gene expression, and does so in part by feedback architectures embedded within gene regulatory networks1–3. By contrast, fidelity in morphogenesis must cope with tissue mechanical properties that change throughout dynamic growth, monitoring and modifying them to achieve the specific three-dimensional organ shapes necessary to mediate physiology. Feedback through biomechanical means can promote this process, for example in mammalian vasculature where diameters are influenced by the physical properties of lumenal flow4. But for many organ types, the regulatory axes underlying morphogenetic precision remain unclear.
Morphogenesis is driven not only by intracellular mechanisms that control actomyosin contractility and cell-cell adhesion, but also extracellular mechanisms that create resistances confronted by cell-generated forces. Growing evidence demonstrates that the basement membrane (BM), a specialized extracellular matrix that is found beneath all epithelia, can actively instruct organ shape, including elongation of the early mammalian embryo and later branching morphogenesis in tubular organs5–8. The BM plays biochemical roles to trigger integrin signaling and sequester morphogens and also biophysical roles by creating a specific mechanical environment. This environment, which is sensed by integrin-based focal adhesions, can include stiffness differences that are patterned both spatially and temporally. Such differences are created by regulating the production, distribution, and post-translational modification of BM components, and these patterns can directly dictate tissue shapes. However, an important question remains unanswered: how do developing organs create specific BM patterns and dynamically integrate mechanical information to ensure morphological accuracy?
The fly follicle (egg chamber) is an elegant system to address this question. Each follicle is an organ that gives rise to a single egg that is laid to allow reproduction9,10. The follicle has a simple structure (Figure 1A): a layer of somatic cells called the follicle epithelium encases germline tissue in its lumen. The follicle epithelium itself is encased in a BM whose structure and molecular composition are conserved across animal phylogeny. Follicles are first formed as regular spheres, but elongate as they grow during development to produce ellipsoid eggs of a very regular aspect ratio that varies by ± < 4% (Figure 1A and 1B)11,12. Proper egg shape is important for reproductive success (see below)11, and this shape is critically determined by the mechanical properties of the BM underlying the follicle epithelium. As the follicle develops, the BM transitions from being isotropically stiff to form an anterior-posterior (AP) stiffness gradient that peaks in the center. It has been proposed that the degree of egg elongation is specified particularly by the relative stiffness of polar vs central regions of the tissue13,14.
Here, we describe a mechanism by which BM patterning is actively monitored and modified remotely by a single pair of cells at one end of the follicle. Through focal adhesion-mediated sensing of BM mechanical properties, these cells tune production of a matrix metalloproteinase (MMP) that in turn remodels BM pattern and thus organ shape. Our findings show how a developing tissue can use specialized cells that regulate ECM organization, along with reciprocal communication to these cells via local and distant mechanical sensing, to achieve morphogenetic precision.
RESULTS
Focal adhesions in the PCs restrict follicle elongation
To understand the mechanisms by which ECM can shape tissues, we carried out a genetic screen in which gene products are depleted throughout the follicle epithelium using RNAi transgenes driven by the traffic jam driver (tj-GAL4). Two hits from this screen, targeting vinculin (vinc) and integrin-linked kinase (Ilk), gave a rare phenotype in which follicles are hyperelongated, with aspect ratios that are >10% greater than WT (Figure S1A–S1C and S1F). This phenotype was surprising since both genes encode components of integrin-based focal adhesions, and depletion of the common β-integrin subunit (Myospheroid, hereafter referred to as Integrin) in the follicle epithelium is long known to result in the opposite hypoelongated, ‘round egg’ phenotype (Figure S1D and S1F)14,15.
Further investigation revealed that both Vinc and Ilk are highly enriched in polar cells (PCs) compared to the rest of the follicle epithelium (Figure 1A, S1G and S1H). PCs are pairs of cells that segregate early from the follicle epithelium lineage and occupy the anterior and posterior extremes of the follicle16. We used genetic mosaics and targeted RNAi to specifically test the role of Vinc in PCs. vinc null mitotic clones that include the anterior PCs recapitulated the hyperelongation phenotype, whereas mutant clones that are restricted to the follicle epithelium elongated normally (Figure S1I and S1J). Moreover, vinc or ilk depletion in PCs alone, using the upd-GAL4 driver (Figure S2A), also caused hyperelongation (Figure 1C, 1D, 1J, S1E, ans S1F), as did depletion of integrin in PCs rather than the follicle epithelium (Figure 1E, 1J, and S1D). By contrast, enhancing integrin signaling by overexpressing either the BM component and integrin ligand Collagen IV (ColIV) (Figure 1F and 1J), or a constitutively active downstream effector of focal adhesion signaling (RIAM30Act)17 (Figure 1G and 1J) in the PCs caused follicle rounding. Coexpression of ColIV failed to shorten hyperelongated follicles induced by PC vinc knockdown, while coexpression of RIAM30Act shortened hyperelongated follicles induced by PC integrin knockdown (Figure 1H–1J), consistent with a conventional pathway that signals from ECM through integrins. Genotypes producing either rounder or hyperelongated follicles deposited eggs at a much lower rate than controls, indicating that precise follicle dimensions are required for the reproductive fitness of the animal (Figure 1K). Together, these data demonstrate that focal adhesion signaling in PCs is a critical regulator of shape for the entire organ.
Morphogenetic regulation by PC focal adhesions does not involve Upd signaling
PCs are known to secrete the morphogen-like patterning signal Upd to create different cell fates in the follicle, and follicles that receive the wrong dose of this signal fail to elongate appropriately (Figure 2A, 2B, and 2D)18–20. This raises the possibility that PC focal adhesion signaling might influence organ shape through changing either Upd levels or the differentiation state of the PCs themselves. To test this possibility, we examined three cell fate markers expressed in WT PCs and the nearby follicle epithelium but found no differences when PC focal adhesion signaling was abrogated (Figure S2B–S2G). The range and level of a STAT activity reporter were also unaffected by manipulating focal adhesion components in the PCs (Figure 2E and S2H–S2K), suggesting normal upd production. Finally, epistasis analysis showed that overexpression of upd along with vinc depletion in the PCs rescued the hyperelongation phenotype caused by vinc depletion alone (Figure 2C–2D). These data indicate that focal adhesion signaling within PCs regulates follicle elongation in a parallel, independent path to that governed by Upd.
PC focal adhesion signaling controls follicle BM mechanical properties
To explore alternate mechanisms by which localized focal adhesion signaling could influence the shape of the entire organ, we turned to an assay previously used to assess mechanical properties of the follicle BM. In this ‘bursting assay,’ organs are placed in a hypotonic solution, and osmotic pressure leads to swelling and eventually rupture of WT follicles (Figure 3A). The site and rate of mechanical failure under tension in this assay correlate with BM stiffness values measured by indentation atomic force microscopy; for example WT follicles rupture preferentially at either anterior or posterior poles, the softest points in the A-P stiffness gradient (Figure 3B and 3H; Video S1)13,21. We compared WT to PC focal adhesion-depleted follicles, as well as previously characterized genotypes that have either softer or stiffer BMs. As expected, removing ColIV in all follicle cells (tj>ColIVKD) resulted in rapid bursting with no positional preference, while elevating ColIV fibril secretion by overexpressing EH domain binding protein 1 (EHBP1) in the follicle epithelium (tj>EHBP1OE)22 strongly prevented follicle bursting (Figure 3C, 3D and 3H; Video S1). Interestingly, when focal adhesion signaling was reduced in PCs (upd>vincKD or upd> integrinKD), follicle bursting was also prevented, nearly altogether (Figure 3E and 3H; Video S1). By contrast, under conditions of PC focal adhesion activation (upd>RIAM30Act) the opposite effect was seen: follicles burst rapidly and at sites not restricted to the poles (Figure 3F and 3H; Video S1). We noted that, whereas rupture likelihood in control follicles is evenly divided between the anterior and posterior poles (Figure 3H), burst-resistant genotypes also showed strong reductions in rupture from both poles. These data suggest that focal adhesion signaling in PCs regulates tissue mechanical properties, with increased signaling inducing BM weakening and decreased signaling generating a BM that is more resistant to the stress of expansion.
Altered BM patterning in PC focal adhesion manipulations
We considered mechanisms through which PCs could regulate tissue mechanical properties to control follicle shape. The current ‘molecular corset’ model holds that a developmentally patterned gradient of BM stiffness physically constrains the growing follicle to determine a specific degree of elongation along the A-P axis23,24. Since defects in follicle rotation can dysregulate BM organization and therefore organ shape14, we performed live imaging of follicles cultured ex vivo. However, no differences in rotation velocity nor direction were seen when focal adhesion signaling was reduced in PCs (Figure S3A–S3C; Video S2). We used Fluorescence Recovery After Photobleaching (FRAP) of an endogenously GFP-labeled Collagen IV α2 chain (encoded by the Drosophila gene viking, hereafter called ColIV-GFP) to assess BM deposition by the follicle. Again, in both mobile fraction and recovery half time, mutants defective in PC focal adhesion signaling did not show significant differences from control (Figure S3D–S3F).
ColIV-GFP in follicles is found in fibrillar as well as non-fibrillar populations; the latter has been proposed to reflect the conventional BM, while the former can confer anisotropic stiffness to it14,22,25. Quantitative imaging showed that overall levels of ColIV-GFP were unchanged between WT and PC vinc-depleted follicles, suggesting that focal adhesion activities do not affect total BM production (Figure 4A and 4F). However, fibril density in PC vinc-depleted follicles was distinctly elevated compared to controls, and individual fibrils had a greater mean length and reduced width (Figure 4A–4C and 4F). This change in BM ‘texture’ was greatest in the anterior but also extended to the posterior. In addition to PC focal adhesion depletion, follicle hyperelongation can be caused by overexpression of the Rab10 effector EHBP1, which increases secretion of fibrillar ColIV22. However, PC vinc-depleted follicles showed a fibril pattern that was different from that seen in EHBP1 overexpression, which causes similar increases in fibril length but only slight localized changes in fibril width and density (Figure S3G and S3H); PC vinc-depleted follicles also did not display elevated ColIV secretion (Figure S3I–S3L). Moreover, despite the fact that both genotypes exhibit resistance to bursting, each displayed different dynamic shape changes during hypotonic swelling. PC vinc-depleted follicles almost doubled their original size compared to EHBP1-overexpressing follicles, well beyond the extent that WT follicles can swell before bursting (Figure 3I). During swelling, PC focal adhesion-depleted follicles also increased their aspect ratios rapidly, whereas EHBP1-overexpressing follicles, like WT, maintained a constant aspect ratio (Figure 3J). These distinct phenotypes suggest that PCs regulate BM fibril distribution and mechanical properties through a mechanism other than controlling ECM secretion.
MMP1 is the PC focal adhesion effector that specifies tissue elongation
Since PC focal adhesion signaling did not alter the amount of ColIV secreted, we wondered whether it might instead instruct BM patterning through extracellular action. Matrix metalloproteinases (MMPs) can process ECM components extracellularly to adjust stiffness profiles in various contexts. Drosophila has two MMPs, MMP1 and MMP2, that are most closely related to vertebrate MMP19 and MMP11 respectively26. Although both fly MMPs are implicated in cell invasion through BMs, overexpression of MMP2 but not MMP1 leads to degradation of ColIV (Figure S4A–S4D) and Perlecan in vivo27, and MMP2 but not MMP1 can degrade Gelatin ex vivo28, suggesting that MMP1 may remodel ECM through other means.
We examined MMP1 in PC vinc-depleted follicles and found that MMP1 was enriched solely in the anterior but not the posterior PCs (Figure S4E and S4F). MMP1 signal was stronger when follicles were placed on ice prior to fixation (Figure S4G), perhaps because endocytosis is reduced. In ice preps, increased MMP1 in WT anterior PCs was detected from stages 6 to 8, whereas MMP1 depletion from PCs abolished this signal (Figure 5A–5D and 5H). Mutant follicles in which posterior cell fates are transformed into anterior showed MMP1 at both poles (Figure S4H), confirming that anterior-fated PCs produce MMP1. When analyzed in the ice prep, PC vinc depletion caused both increased levels and expanded distribution of MMP1; by contrast elevated PC focal adhesion signaling or local overexpression of ColIV within the PC diminished both level and range of MMP1 (Figure 5E–5H).
Follicles overexpressing MMP1 alone in the PCs showed strong resistance to bursting upon osmotic shock and this manipulation was also sufficient to drive hyperelongation, phenocopying PC focal adhesion depletion (Figure 3H, 5I–J and 5L). Notably, in the bursting assay these follicles expanded their size and aspect ratio with dynamics similar to those of follicles with PC focal adhesion depletion (Figure 3I and 3J; Video S3). They also showed ColIV-GFP fibril profiles that closely resembled PC vinc-depleted follicles (Figure 4D and 4F), including increases in fibril density and length that extended into the posterior. Depleting MMP1 from PCs of otherwise WT follicles had the opposite effect: fibril density and length decreased throughout the follicle, and the resultant organs were hypoelongated and burst quickly (Figure 3G, 3H, 4E, and 4F, and 5L). In functional tests, depleting MMP1 together with focal adhesion components in PCs reversed the hyperelongated phenotype caused by PC focal adhesion depletion alone (Figure 5J–5L). Altogether, these results indicate that MMP1 is a direct downstream effector of focal adhesion signaling in PCs, and is produced to promote BM mechanical properties that encourage organ elongation.
MMP1 expression in PCs is sufficient to cause follicles to hyperelongate and resist bursting upon osmotic challenge. Since these phenotypes are suggestive of an activity other than canonical ECM degradation, we compared the effects of MMP1 and MMP2 on transgenically-expressed ColIV-GFP. When produced in PCs of otherwise WT follicles (upd>ColIV-GFPOE), ColIV-GFP incorporation could be detected 45 um from the anterior pole (Figure S4I and S4N). When MMP2 was co-expressed in PCs from these follicles, almost no ColIV-GFP could be detected and the follicle rounding caused by ColIV-GFP overexpression was suppressed (Figure S4J, S4M, and S4N). These phenotypes are consistent with MMP2 digesting the transgenic protein. By contrast, when MMP1 was co-expressed with ColIV-GFP in PCs, follicles hyperelongated as expected, and the range of ColIV-GFP diffusion was intermediate between WT and MMP2 overexpression (Figure S4K–S4N), possibly because of enhanced local incorporation. These results suggest that MMP1 from PCs does not degrade the BM; instead, it may process substrates that alter BM mechanics.
Hyperelongation in MMP1-overexpressing follicles could occur through equivalent mechanical changes to all regions of the organ, or it could reflect localized changes for instance at one pole. Neither ex vivo or in vivo culture conditions currently allow live monitoring of long-term follicle elongation. We photobleached squares of ColIV-GFP at different regions of follicles and assessed the changes in these fiduciary marks following osmotic swelling, prior to bursting (Figure 3K). In control follicles, relative dimensions of photobleached areas in the anterior, central and posterior follicle were unchanged, indicating that regions expand isotropically (Figure 3L). Isotropic expansion in these regions was also seen in follicles that were hyperelongated due to EHBP1 overexpression (Figure 3L). By contrast, in hyperelongated PC>MMP1-overexpressing or PC>vinc-depleted follicles, the photobleached region at the anterior region showed increased expansion along the AP axis, becoming ~30% more rectangular (Figure 3L). A lower but significant degree of AP expansion was seen in central, and, for PC>vinc-depletion, posterior bleached regions of these follicles. This result suggests that PC focal adhesion signaling regulates most strongly the mechanical properties of the anterior follicle, the area in which the greatest impact on ColIV patterning are also seen.
PCs perceive and respond to distant mechanical cues through focal adhesion signaling
Data above indicate that PC MMP1 plays a pivotal role in governing follicle elongation, and that its activity levels are tuned by autonomous focal adhesion signaling. Quantitative imaging shows that PC MMP1 can lead to modification of BM texture at a significant distance as well as locally. We wondered if such long-range regulation was reciprocal, and whether the PCs could sense and react to remote changes in the BM as well.
To test this possibility, we used the mirror driver (mirr-GAL4) to alter BM in a central follicle region that is 6–8 cell widths (>60μm) away from the PCs (Figure S4A). Bursting assays suggested that this change is limited locally, since manipulated follicles still burst at lateral or polar regions (Figure 6A; Video S3). Remarkably, either elevating ColIV production (mirr>ColIVOE) or fibril secretion (mirr>EHBP1OE) in this central region was sufficient to induce MMP1 production in the anterior PC (Figure 6B and 6C), while depleting ColIV in this region (mirr>ColIVKD) had the opposite impact (Figure 6D). We found that a follicle with reduced central BM that also has defective focal adhesion signaling in PCs still elevates MMP1 protein, while the same BM manipulation in a follicle that has defective focal adhesion signaling in follicle epithelium but not PCs failed to do so (Figure 6E and 6F). Thus, sensing of distant BM mechanics, like sensing of local BM mechanics, is mediated by focal adhesion signaling within the PCs.
We considered whether other PC activities might be involved in the response. However, Upd production and signaling range were comparable in control and centrally-manipulated follicles (Figure S5A–S5C), and depleting α-catenin in PCs caused neither follicle elongation defects nor changes in MMP1 production (Figure S5D–S5I), arguing against input from cell-cell adhesive changes with neighboring follicle epithelial cells. In summary, these data unexpectedly reveal that PCs use focal adhesions to perceive mechanical cues not just from local BM but also from distant sites in the organ, and respond by adjusting MMP1 production accordingly.
BM sensing relies on contractility of the PC
How could PCs perceive local and distant mechanical cues? Interestingly, live imaging of PCs revealed intriguing apicobasal pulsatile contractility (Figure 7A; Video S4) that was not seen in neighboring FCs. Contractility was seen only in anterior and not posterior FCs, and initiated following st. 6 (Figure 7A; Video S4). Following collagenase treatment, PCs showed stronger retraction away from the digested BM compared to the neighboring follicle epithelium (Figure 7B–7D), raising the possibility that PCs are under higher tension. This was confirmed by comparing recoil velocities when lateral PC or follicle epithelial cell cortices were severed by a laser (Figure 7E). The results suggested that PCs might actively tug on the BM to assess its physical properties.
To explore whether distant BM properties could influence contractile frequency, we assessed PC dynamics in mirr>EHBP1OE follicles. Indeed, the frequency of oscillation was modestly but significantly increased (Figure 7F and 7G; Video S5). Similar changes were observed in follicles with reduced focal adhesion signaling in PCs (upd>vincKD), while oscillations were decreased when focal adhesion signaling was activated (upd>RIAM30ACT) (Figure 7F and 7G; Video S5), consistent with a hypothesis that contractility scales with stiffness sensed by PCs. Remarkably, enhancing PC contractile frequency by depleting myosin phosphatase activity (upd>myosin binding subunit (mbs)KD)29 was sufficient to induce hyperelongation of the follicle along with MMP1 upregulation, while reducing it by depleting the myosin heavy chain (upd>zipperKD) had the opposite effect (Figure 7F–7J; Video S5). Taken together, these data suggest that PCs can sense and modulate organ-wide BM properties through focal adhesion-linked contractility.
DISCUSSION
It is now appreciated that anisotropic ECM organization can drive tissue shape in both vertebrates and invertebrates, playing critical roles from early embryos to developing organs to adult reproduction. Yet how specifically patterned BMs are generated and maintained is poorly understood. This work provides a model for how specialized cells can specify local and long-range mechanical properties including by regulating BM texture. Our data suggest that as elongation of the Drosophila follicle initiates, PCs at the anterior pole use focal adhesion signaling to perceive an initial low degree of graded BM stiffness, and then tune MMP1 activity to promote formation of BM fibrils that can confer anisotropic tensile strength. This process must be carefully regulated to ensure that it does not result in hyperelongation. Interestingly, the BM also provides reciprocal biomechanical feedback to regulate the PCs. As the follicle stiffens, PCs experience more focal adhesion signaling which then moderates MMP production. These mechanical monitoring and modifying processes encompass not just the local anterior environment but extend more broadly through the tissue. Indeed, a striking finding of this work is that BM changes in the follicle center are sensed at a distance by focal adhesion signaling restricted to the PC, although we remain ignorant of how these changes are transmitted. Overall, our work uncovers a mechanism by which a growing organ morphogenetically self-organizes, dynamically regulating its own BM patterning to ensure appropriate shape.
The effector molecule through which PCs specify non-autonomous BM organization is the fly matrix metalloprotease MMP1. When PC MMP1 levels increase, ColIV fibril density increases, the BM becomes more resistant to mechanical failure during expansion, and tissue elongation along the A-P axis increases; the opposite occurs when PC MMP1 levels are experimentally reduced. This unexpected result is contradictory to the canonical ECM-degrading role of MMPs. However, it is consistent with recent studies and earlier work establishing that BM Collagen IV in developing organs is highly dynamic and its remodeling can be promoted by activity of MMP1 and other metalloproteinases30–32. In all of these cases, the direct mechanism of Collagen IV regulation has not been discerned. Our data show that MMP1 does not control overall ColIV levels; moreover, MMP1 is unlikely to promote formation of de novo BM fibrils that are organized prior to secretion22. Instead, they suggest that MMP1 activity results in altered extracellular organization of ColIV, specifically promoting remodeling from the conventional isotropic basal lamina into a fibril network whose characteristics include increased density. The impact of MMP1 on mechanical properties is most strong at the anterior but ramifies further into the organ. The difference between MMP1’s limited anterior range and its long-range impact on ColIV organization suggests that MMP1’s effects are indirect, perhaps by proteolytically regulating an unknown factor. Through this or another mechanism, PC-produced MMP1 fashions a BM framework whose specific texture drives appropriate elongation of the entire organ, enhancing reproductive fitness for the organism.
Current data do not allow us to define the specific mechanical property of the BM that MMP1 activity promotes. Atomic force microscopy of follicle BM has demonstrated that apparent elastic modulus assessed by probe indentation negatively correlates with the axis of increased elongation during growth and sites where tissue rupture is most likely to occur under osmotic pressure13,21,25,33. Yet this stiffness measured perpendicular to the BM plane seems unlikely to be the only property associated with the ability of the matrix to accommodate organ expansion. The striking increase in aspect ratio of MMP1-overexpressing follicles during osmotic swelling hints that MMP1 promotes enhanced amenability to tissue expansion without rupture. On the other hand, we find that MMP1 also promotes the anterior narrowing that makes st. 8 follicles distinctly ‘pointy’, both during development and in the osmotic swelling assay (Figure S6). This contribution seems inconsistent with a simple role for MMP1 in increasing BM pliability, and highlights the knowledge gap between specific spatial organizations of ECM and their observed biomechanical properties.
Our findings point to an unappreciated role of the two anterior PCs as specialized regulators of tissue mechanics. Live imaging demonstrates that these PCs are highly contractile, repeatedly tugging on the follicle BM, in contrast to the non-contractile neighboring epithelium (in which mechanosensitive Vinculin plays no apparent role). Moreover, PC contractility increases with distant elevation of BM ColIV levels, consistent with a model in which PCs use focal adhesion sensing to assess the tissue rigidity landscape. That both static and migrating cells can sample substrate stiffness via cellular contractility is well-established34. Moreover, in several cancer cell lines, ECM composition has been found to regulate MMP activity, which may promote tumor cell invasion during pathology35–39. Our work identifies a physiological role for this signaling axis in sensing the global mechanical landscape during normal development, and then using the information to non-autonomously regulate BM patterning. It is interesting to note that the BM patterning role of PCs, mediated by MMP1 production, works in parallel to their Upd-mediated cell fate patterning role; indeed, ectopic PCs induced in the follicle epithelium are also contractile, produce MMP1, and promote ectopic pole-like bursting in the swelling assay (Figure S7; Videos S6). Such sufficiency as well as necessity data underscore how a few such specialized cells can be critical architects that shape the tissue mechanical environment.
LIMITATIONS OF THE STUDY
As discussed above, although this study provides evidence that PCs can sense distant as well as local changes in BM properties, the mechanism by which they do so remains unknown. Our data also do not reveal the direct effector that alters BM texture and mechanics in response to MMP1 activity provided by the PCs. Finally, while the swelling assay provides valuable information about tissue material properties, we have not directly measured BM stiffness in this study using AFM or related techniques. A full understanding of how the follicle uses the mechanisms described to ensure appropriate egg shape will be the subject of future work.
STAR★METHODS
Resource availability
Lead contact
Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, David Bilder (bilder@berkeley.edu).
Materials availability
This study did not generate new reagents.
Data and code availability
Data reported in this paper will be shared by the lead contact upon request.
This paper does not report original code. All code used in MATLAB analysis procedure and the code implementing the calculations is available from the lead contact upon request.
Any additional information required to reanalyze the data reported in this work paper is available from the Lead Contact upon request.
Experimental model and subject details
Drosophila stock, husbandry, housing, and rearing condition
See Table S1 and Key resource table for detailed strains and genotypes of the experimental animals. Flies were kept on cornmeal molasses food in 28.5 ×95 mm vials at 25°C unless indicated otherwise, with dried yeast added to increase fecundity. Experimental crosses were kept at 25°C. For GAL4/GAL80TS experiments, animals were kept at 25 °C until third instar (L3), then transferred to 18°C before eclosion. Newly eclosed adults were collected within 48 hours, followed by shifting to 30 °C to allow expression of transgenes. For clonal induction via heat-shock-induced flippase, animals were heat-shocked at L3 at 37°C for 13 minutes (flip-out clones) or 1 hour (mitotic clones) and then returned to 25°C for seven days before ovary dissection. For experiments that combine clonal induction and GAL4/GAL80TS (i.e., vinc102.1; mirrTS>ColIVKD), animals were kept at 18°C before eclosion except for heat-shock at L3. The eclosed adults were then transferred to 30°C for one day before dissection.
Key resources table.
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Antibodies | ||
Rabbit anti-β-gal; Dilution 1:1000 | Abcam | RRID: AB_305327 |
Mouse anti-Eyes Absent; Dilution 1:100 | Hybridoma Bank | RRID: AB_528232 |
Mouse anti-Fas3; Dilution 1:100 | Hybridoma Bank | RRID: AB_528238 |
Mouse anti-GFP; Dilution 1:50 | ThermoFisher | RRID: AB_2313858 |
Rabbit anti-GFP; Dilution 1:500 | Torrey Pines | RRID: AB_2313770 |
Mouse anti-MMP1; Dilution 1:100 | Hybridoma Bank | RRID: AB_579780 |
Mouse anti-MMP1; Dilution 1:100 | Hybridoma Bank | RRID: AB_579781 |
Mouse anti-MMP1; Dilution 1:100 | Hybridoma Bank | RRID: AB_579779 |
Alexa Fluor 488 anti-mouse; Dilution 1:200 | Invitrogen | RRID: AB_2534069 |
Alexa Fluor 488 anti-rabbit; Dilution 1:200 | Invitrogen | RRID: AB_143165 |
Alexa Fluor 647 anti-mouse; Dilution 1:100 | Invitrogen | RRID: AB_162542 |
Alexa Fluor 647 anti-rabbit; Dilution 1:100 | Invitrogen | RRID: AB_2535812 |
Alexa Fluor-647 anti-GFP Nanobody; Dilution 1:2000 | ChromoTek | RRID: AB_2827575 |
Chemicals, peptides, and recombinant proteins | ||
Paraformaldehyde; 4% (v/v) | Electron Microscopy Science | 15710 (EM Grade) |
TRITC-Phalloidin; Dilution 1:200 | Sigma | P1951 |
Alexa Fluor 647-Phalloidin; Dilution 1:50 | Invitrogen | A22287 |
CellMask Deep Red; Dilution 1:1000 | Invitrogen | C10046 |
DAPI; Dilution 1:2000 | ThermoFisher | D1306 |
Normal goat serum; 5% (v/v) | Gibco | PCN5000 |
Collagenase; 1000 U/mL | Worthington | LS005273 |
Low melt agarose; 1% (w/v) | Bio-RAD | 161–3113 |
Schneider’s Drosophila Medium | Gibco | 21720024 |
Poly-D lysine: 100 μg/mL | Millipore | 633307 |
SlowFade Antifade solution | Invitrogen | S2828 |
Experimental models: Organisms/strains | ||
D. melanogaster: w1118 | BDSC | 5905 |
D. melanogaster: tj-GAL4, tub-GAL80TS/CyO | Kyoto Stock Center | 104055 |
D. melanogaster: upd-GAL4; +; tub-GAL80TS,UAS-Dicer2/TM3 | BDSC | 26796 |
D. melanogaster: tub-GAL80TS; mirr-GAL4/TM3, Sb, twi-GFP | Anne-Marie Pret, French National Centre for Scientific Research | PMID23222440 |
D. melanogaster: hs-FLP122; +; Act5c>CD2>GAL4, UAS-RFP | BDSC | 30558 |
D. melanogaster: UAS-nls-GFP | BDSC | 4776 |
D. melanogaster: w*; UAS-Red-Stinger,UAS-FLP, Ubi-p63E(FRT.STOP)-Stinger | BDSC | 28281; PMID19633663 |
D. melanogaster: w1118; 10XStat92E-dGFP/CyO | BDSC | 26199; PMID17008134 |
D. melanogaster: w1118; 10XStat92E-GFP/TM6C | BDSC | 26198; PMID17008134 |
D. melanogaster: Vinc-RFP(II) | Nicholas H Brown, University of Cambridge | PMID25754646 |
D. melanogaster: w1118; IlkZCL3111-GFP | BDSC | 6831; PMID14681446 |
D. melanogaster: neurA101-lacZ /TM3, ryRK Sb1 Ser1 | BDSC | 4369; PMID1879352 |
D. melanogaster: vkgCC00791-GFP | Allan C. Spradling, Carnegie Institution for Science | PMID17194782 |
D. melanogaster: w1118; His2AvGFP-S65T | BDSC | 5941 |
D. melanogaster: IndyCC00377-GFP | Allan C. Spradling, Carnegie Institution for Science | PMID17194782 |
D. melanogaster: w*; Fas3G00258 -GFP | BDSC | 50841; PMID14681446 |
D. melanogaster: Vinc102.1 | Nicholas H Brown, University of Cambridge | PMID25754646 |
D. melanogaster: eglWU50/eglRC12 | Trudi Schupbach, Princeton University | PMID28306055 |
D. melanogaster: ykiB5 | Doujia Pan, Southwestern Medical Center | PMID16096061 |
D. melanogaster: y1,sc*,v1,sev21; UAS-GFP RNAiVALIUM20 | BDSC | 41553 |
D. melanogaster: y1,v1; UAS-vinc RNAi JF01985 | BDSC | 25965;455299 |
D. melanogaster: y1,sc*,v1; UAS-vinc RNAi HMS02356 | BDSC | 455299 |
D. melanogaster: y1,sc*,v1; UAS-ilk RNAi GL00288 | BDSC | 35374; PMID24046451 |
D. melanogaster: y1,sc*,v1; UAS-ilk RNAi HMS04509 | BDSC | 47308; PMID29440263 |
D. melanogaster: y1,v1; UAS-integrin RNAi HMS00043 | BDSC | 33642; PMID34980203 |
D. melanogaster: w1118; UAS-integrin RNAi GD15002 | VDRC | 30619; PMID25053436 |
D. melanogaster: UAS-cg25c-GFP/CyO; UAS-vkg-GFP/TM6c | Stéphane Noselli, University of Nice | PMID26456819 |
D. melanogaster: UAS-vkg RNAiv106812; UAS-cg25c RNAiHMC03010 | VDRC; BDSC | v106812; 44520 |
D. melanogaster: UAS-mCherry-RIAM30-RAP1CAAX | Guy Tanentzapf, University of British Columbia | PMID24012314 |
D. melanogaster: y1,v1; UAS-Upd RNAi JF03149 | BDSC | 28722; PMID23021220 |
D. melanogaster: UAS-Upd(II) | Anne Classen, University of Freiburg | PMID19749759 |
D. melanogaster: y1, w*; UAS-FLAG-Ehbp1VK00033 | BDSC | 67146 |
D. melanogaster: y1,v1; UAS-MMP1 RNAiJF01336 | BDSC | 31489; PMID30982664 |
D. melanogaster: UAS-Mmp1RNAi KK108894 | VDRC | 101505; PMID25356918 |
D. melanogaster: w*; UAS-Mmp1.f1 | BDSC | 58700; PMID32686670 |
D. melanogaster: w*; UAS-Mmp1.f1 | BDSC | 58701; PMID32686670 |
D. melanogaster: w*; UAS-Mmp2.P | BDSC | 58705; PMID32686670 |
D. melanogaster: w*; UAS-Mmp2.P | BDSC | 58706; PMID32686670 |
D. melanogaster: y1,v1; UAS-mbs RNAiGL01207 | BDSC | 41625; PMID32916115 |
D. melanogaster: UAS-zip RNAiGD1566 | VDRC | v7819; PMID20498300 |
D. melanogaster: y1,v1; UAS-α-catenin RNAiHMS00317 | BDSC | 33430; PMID30659113 |
D. melanogaster: y1,v1; UAS-yki RNAiHMS00041 | BDSC | 34067; PMID29440303 |
D. melanogaster: UAS-vkg RNAiv106812; UAS-cg25c RNAiHMC03010 | VDRC; BDSC | v106812; 44520 |
Software and algorithms | ||
Prism 6.0 | GraphPad | www.graphpad.com |
Fiji 2.3.9/1.53p | ImageJ | http://fiji.sc/ |
Zen (black edition) | Zeiss | https://www.zeiss.com |
Illustrator 22.0.1 | Adobe | www.adobe.com/uk/products/illustrator.html |
Imaris 9.3.1 | Bitplane | https://imaris.oxinst.com/ |
Matlab R2021a | MathWorks | https://www.mathworks.com/ |
Methods details
Oviposition
Ten females and five males were kept in cages on apple juice plates and yeast paste at 30 °C. Deposited eggs were collected in fixed time windows (25°C: 22 hours; 30°C: 18 hours) using paintbrush and nylon mesh, then rinsed with ddH2O and dried with tissue paper. Egg numbers were determined by the total weight divided by weight of single egg. Numbers of eggs laid from one female fly were quantified; mean value from different control experiments was defined as 100%. The assays were repeated four times independently.
Immunofluorescence Staining
Antibodies, reagents, and working concentrations used are listed in Key resource table. In brief, adult ovary dissections were performed in Schneider’s medium, followed by fixation in 4% paraformaldehyde (PFA) for 15 minutes. After being washed with PBS three times, the samples were incubated in staining solution (5% normal goat serum in PBS) with primary antibodies. Following three more washes with PBS, samples were incubated with secondary antibodies in staining solution and washed before being mounting in antifade. Most antibody staining was carried out either at room temperature for 3 hours or at 4°C overnight. Anti-GFP nanobody used to visualize extracellular ColIV-GFP was performed at room temperature for 15 minutes. For MMP1 stains, follicles were kept in culture medium on ice for 2 hours prior to fixation, except for Figs. 6B–6C and S4E–F, which were performed without ice treatment. Solutions were prepared with 0.2% Triton X-100 except when staining extracellular ColIV. For collagenase treatment, dissected follicles were incubated in collagenase (1000 U/mL in Schneider’s medium) for 30–45 minutes at room temperature, followed by three washes with medium, one brief rinse with PBS, and then subjected to fixation and antibody staining. Most images were acquired using a Zeiss LSM 700 microscope with a 20x (Plan Apochromat 20x/NA 0.8) or a 40x (LD C-Apochromat 40x/NA 1.1 W Korr M27) objective. For detailed ColIV-GFP pattern analysis, a Zeiss LSM 780 microscope was used with a 40x (LD C-Apochromat 40x/NA 1.2 W Korr M27) objective. Pinhole settings ranged from 1 to 1.8 Airy units.
Bursting Assay
Follicles dissected from the muscle sheath were transferred to PBS and then placed onto poly-D lysine-coated glass-bottom dishes (MetTek). 1:10 serial dilutions of PBS with sterilized H2O were performed three times. The follicle swelling process was acquired with a 10x objective (Zeiss, Plan-Neofluar 10x/0.30 M27) every 15 seconds for 45 minutes. Time-lapse brightfield images were post-processed using FIJI to determine swelling dynamics. Brightfield images were thresholded to extract sample outlines, and then converted to binary followed by the fill holes function. The watershed was applied at the final step to separate follicles from stalk and generate individual masks. Area and aspect ratio measurements were retrieved using analyze particle function with size exclusion. Values of individual data point (Ti) were subtracted from respective initial time points (T0) before being normalized to T0. Plots showing mean ± standard deviation were generated by Prism.
Ex vivo Culture and Live Imaging
Follicles were cultured ex vivo as previously described14; the osmolality of Schneider’s medium was adjusted to 260 Osm/L. Time-lapse images were acquired at 22–23°C at stage 6 and 8 follicles (staged by measuring nurse cell nuclear diameter and the accumulation of yolk) using an inverted confocal microscope (Zeiss LSM 700) equipped with a 40x objective (LD C-Apochromat 40x/NA 1.1 W Korr M27). To determine follicle epithelium rotation velocity, z-stack images of Histone2Av-GFP were acquired for 57–65 focal planes separated by 0.7 μm (total of 40–45 μm) every 4 minutes for 1 hour. Trajectories of individual follicle epithelium nuclei were traced using iMaris. For the FRAP assay on ColIV-GFP, the center of the follicle BM was digitally zoomed at 4.0, z-stacks of 10 planes separated by 0.47 μm were acquired every 10 seconds (pre-bleach) for 1 minute followed by every 2 minutes (post-bleach) for 2 hours. Bleaching used a 488 nm laser set to 100% power (10 mW, two iterations), with differential z locked to the plane of the BM. The bleached region equals 26–27 μm2. Post-processing images to determine ColIV-GFP recovery, protein half-life, and mobility fractions were obtained through FIJI and plot in Prism. The same bleached condition was applied in the BM anisotropy assay during swelling, except the region was 10×10 μm2. Regions were chosen in anterior, middle, and posterior through equal division of the A-P axis into three parts, and the center of each part was bleached. Aspect ratio of the bleached region before and after swelling was quantified by measuring the bleached curvature length in cross sections in Zen. To visualize PCs or follicle epithelium contractility, Fas3-GFP transgenic stocks or CellMask staining (Deep Red, 1000x dilution) were used respectively. PCs or follicle epithelium were imaged with a digital zoom set for 4.0 with a single plane acquired every 1-second (stage 8) or 2 seconds (stage 6). To prevent photobleaching, both pixel dwell (3.15 μs) and laser power (1.5%) were minimized. Images were first processed through FIJI to quantify the area of all data points for individual experiments, followed by importing to Matlab to retrieve the frequency of cell contractility.
Laser Ablation
Stage 8 follicles carrying Indy-GFP or Fas3-GFP were mounted in culture medium on a two-photon laser microscope (Zeiss LSM 980 NLO, controlled by ZEN 3.3 Blue) with a C-Apochromat 40x/1.2 W Korr objective. Single plane image acquisition was carried out through crop area function set to 21.2x with bidirectional scanning mode, and a region of 10×10 μm2 was collected for a frame time of 93.08 ms. Images were acquired using GaAsP-PMT detector. Lateral membrane cuts were achieved through a circular ROI diameter of 0.5 μm at 800nm (100% power, source between 1.2–1.3 W) with the same scanning speed. Recordings used 397 ms between-frame intervals. To determine recoil velocity, vertices of apical and basal displacement in post-ablation frames were manually tracked using Fiji. Data statistics and plotting were performed in Prism.
Image Post Processing and Data Analyses
Quantifying follicle shape
For aspect ratio (AR) measurement, lengths along AP and DV axes were determined manually in either Zen black (imaging-processing mode) or in FIJI. Curvature ratio (pointiness) of the follicle was determined by identifying the ratio between the radii of best-fit circles in anterior (Ra) or posterior (Rp) pole, modified from40. Correlation between elongation (AR) and curvature ratio (Rp/Ra) of different follicle genotypes were plotted in Prism to retrieve R square41. Curvature changes in the swelling assay were quantified by calculating ratios of final time point to initial time point for each follicle.
Follicle epithelium migration
Time-lapse stack images of follicles with His2Av-GFP were analyzed using Imaris 9.2.1 (Bitplane, Oxford Instruments). Trajectories of follicle epithelium cells were obtained through a spot-tracking module. The estimated diameters of spot for follicle epithelium nuclei in xy and z were 3 μm with model PSF elongate along the z-axis. Quality filter was defined from 5–25. The autoregressive motion algorithm was applied with a maximum distance of 3.54 μm for two consecutive time points. Trajectories from tracking duration less than 10 minutes and from nurse cells were excluded for following analysis. The follicle epithelium trajectories were further grouped according to the mean velocity ranging from 0–0.2, 0.2–3, 0.3–0.4, 0.4–0.5, and 0.5–0.6 μm•min−1. Three-dimensional surpass images in orthogonal view were shown with spots at the final time point tailed by trajectories color-coded according to the respective velocity group. Data were plotted and analyzed in Prism.
FRAP on ColIV-GFP
Times series of a single focal plane were analyzed, with drifted images excluded. Pixel intensities of three ROIs (region of interest) were extracted from FIJI as follows: (1) BL: region bleached by 488 laser, (2) BG: background without any target fluorescence, and (3) REF: un-bleached region with targeted fluorescence. Corrections followed by curve fitting (exponential recovery) were performed to retrieve recovery rate and mobile fraction as previously described42. Plotting of data and statistics methods were perform in Prism.
PCs contractility Dynamics
Fas3-GFP confocal images were first processed in FIJI with a procedure similar to that described in the bursting assay to obtain area in the control and mutant PCs overtime. Raw time-lapse images went through bleach correction via histogram matching before mask thresholding. For individual sample (i) at the time point (j), differences between area (Aij) to respective mean (Aavg.i) were calculated before normalized with a respective mean (Aavg.i). Quantifications for dynamic contractility were subsequently determined using MATLAB (R2021a, MathWorks) with a customized script. Raw signals were smoothed through a Savitzky–Golay filter of polynomial order 3 to data frames of length 61. The fitted curve was further used for high- and low-peak identification. For individual sample, cycling time was determined by mean intervals between peaks and subsequent converted for respective frequency. Finally, statistical analysis of PC contractility frequency in the control and mutants was performed and plotted in Prism.
ColIV Pattern and Fibril Segmentation
Confocal images of ColIV-GFP fibrils were analyzed using custom MATLAB code. Briefly, a Frangi filter was used to calculate the likelihood of a given region being part of a vessel-like or ridge-like structure, and this likelihood was used to segment individual fibrils. This enabled accurate detection and analysis of fibrils of different sizes and fluorescence intensities.
Images were first smoothed using a Gaussian filter with a sigma of 2 pixels (1 pixel = 51.9 nm) and filter size of 3 pixels. The blurred image was then analyzed using a Hessian-based Frangi Vesselness filter (Dirk-Jan Kroon, 2021. https://www.mathworks.com/matlabcentral/fileexchange/24409-hessian-based-frangi-vesselness-filter. Retrieved March 1, 2021). Sigma values from 1 to 16 pixels were iterated over, incrementing by a step size of 1 pixel. This analysis yielded two output images that were used for further analysis: a vessel-enhanced image where each pixel value reflects the maximum likelihood that there is a vessel or ridge structure present, and a scale image that records the vessel width that resulted in the maximum likelihood. An adaptive threshold was applied to the vessel-enhanced image with a neighborhood size of 31×31 pixels to segment fibrils. The thresholded image was masked by the overall follicle outline. This overall outline was determined using the multithresh function to find 7 threshold values using Otsu’s method. The blurred follicle image was thresholded using the lowest value, holes were filled, and the outline was eroded using a disk of radius 40 pixels. Small objects under 100 pixels in area were also removed.
At this point, the region props function was then used to analyze individual segmented fibrils. Fibrils with a mean fluorescence intensity below the second lowest of the 7 thresholds calculated above were removed. Fibril length was determined by fitting each segmented fibril with an ellipse and taking the major axis. Fibril width used the average scale image output from the Frangi vesselness filter. Fibril density was calculated by skeletonizing all segmented fibrils and dividing the number of fibril backbone pixels by the total follicle pixel area. Analysis along the A-P axis was performed by dividing the follicle into 5 equally sized regions. Fibrils were assigned to each region according to their centroid position, and the average fibril width and length was calculated for each region. Fibril density was calculated for the entire region at once using the skeletonized fibril image and follicle outline. These per-follicle averages were then analyzed in Figure 3, with the statistics and error bars reflecting the differences between follicles of a given genotype.
Quantification and statistical analysis
Statistics and reproducibility
For control and mutant follicle analysis, adult females ovaries were collected from greater than 6 animals of independent experiments. No data sets were excluded from fixed samples. For bursting assays, samples with erroneous angles over time were not included in area and AR dynamic analysis. Drifting of ex vivo cultured follicle was terminated immediately in live imaging. Images and video presented are representative of data sets. The numbers for each individual experiment and the statistical method performed (via GraphPad software: Prism) are indicated in the legends and summarized as follows: Dunnett’s multiple comparisons for Fig. 1J, 2D, 5K, and 7J. One-way ANOVA for S1F, S4M-S4N, and S6D. Multiple t test for Fig. 3L, 4F, S2K, S3C, S3H, and S5C. Unpaired Mann-Whitney test for S5F and Fig. 7D–7E. Linear regression for S6A-S6C. Kolmogorov-Smirnov (KS) test for Fig. 7G, S3E–S3F, and S3L. Predetermination of sample size using statistical methods was not performed. Experiments were not randomized; investigators were not blinded when conducting experiments and analyzing results.
Supplementary Material
ACKNOWLEDGEMENTS
We thank Nick Brown, Trudi Schupbach, Stéphane Noselli, Duojia Pan, Guy Tanentzapf, and the Bloomington, Vienna and Kyoto stock centers for fly strains. We also thank DSHB for antibodies, Hernan Garcia for use of the Zeiss 780 microscope, Holly Aaron and Feather Ives (CRL Molecular Imaging Center, RRID:SCR_017852) for Imaris and technical support, and Daniel Fletcher and Bilder lab members for helpful discussions. This work was funded by NIH R35 GM130388 to DB and a Helen Hay Whitney postdoctoral fellowship to LKH.
INCLUSION AND DIVERSITY
We support inclusive, diverse, and equitable conduct of research.
Footnotes
DECLARATION OF INTERESTS
The authors declare no competing interests.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data reported in this paper will be shared by the lead contact upon request.
This paper does not report original code. All code used in MATLAB analysis procedure and the code implementing the calculations is available from the lead contact upon request.
Any additional information required to reanalyze the data reported in this work paper is available from the Lead Contact upon request.