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Exploring the molecular makeup of support cells in insect camera eyes
BMC Genomics volume 24, Article number: 702 (2023)
Abstract
Animals typically have either compound eyes, or camera-type eyes, both of which have evolved repeatedly in the animal kingdom. Both eye types include two important kinds of cells: photoreceptor cells, which can be excited by light, and non-neuronal support cells (SupCs), which provide essential support to photoreceptors. At the molecular level deeply conserved genes that relate to the differentiation of photoreceptor cells have fueled a discussion on whether or not a shared evolutionary origin might be considered for this cell type. In contrast, only a handful of studies, primarily on the compound eyes of Drosophila melanogaster, have demonstrated molecular similarities in SupCs. D. melanogaster SupCs (Semper cells and primary pigment cells) are specialized eye glia that share several molecular similarities with certain vertebrate eye glia, including Müller glia. This led us to question if there could be conserved molecular signatures of SupCs, even in functionally different eyes such as the image-forming larval camera eyes of the sunburst diving beetle Thermonectus marmoratus. To investigate this possibility, we used an in-depth comparative whole-tissue transcriptomics approach. Specifically, we dissected the larval principal camera eyes into SupC- and retina-containing regions and generated the respective transcriptomes. Our analysis revealed several common features of SupCs including enrichment of genes that are important for glial function (e.g. gap junction proteins such as innexin 3), glycogen production (glycogenin), and energy metabolism (glutamine synthetase 1 and 2). To evaluate similarities, we compared our transcriptomes with those of fly (Semper cells) and vertebrate (Müller glia) eye glia as well as respective retinas. T. marmoratus SupCs were found to have distinct genetic overlap with both fly and vertebrate eye glia. These results suggest that T. marmoratus SupCs are a form of glia, and like photoreceptors, may be deeply conserved.
Introduction
Among the diversity of animal eyes, there are near perfect examples of both convergent and divergent evolution, but the structure–function relationships of eye components have confounded evolutionary biologists for centuries. Eye structure has evolved independently multiple times within the animal kingdom, often adapting to the specific ecological needs of the bearer [1, 2]. The simplest light-detecting organ likely consisted of a single light-sensitive photoreceptor cell accompanied by a pigmented support cell (SupC). This primordial photodetector is expected to have provided the animal with directional information and light sensitivity [3]. The animal kingdom today features an astonishing variety of eyes, from simpler pigment-cup eyes to more complex eyes with well-developed optical lenses. The latter can be broadly divided into two categories: a) compound eyes, which comprise multiple tightly organized light-detecting units called ommatidia that have evolved in invertebrates, and b) camera eyes, which are single image-forming structures that have evolved many times in both vertebrates and invertebrates [2]. Despite apparent differences in evolutionary history, structure, and function, these eye types have distinct parallels. For example, both eye types have functionally similar cell types such as photoreceptor cells that are excited by light, and non-neuronal SupCs, which provide essential support to photoreceptors. Parallels also exist at the molecular level in the form of specific gene regulatory networks (GRNs) that are typically conserved in eyes [4,5,6,7,8].
In regard to eyes, GRNs are best understood for early developmental processes that give rise to photoreceptor cells. Comparative studies of mice and the fruit fly Drosophila melanogaster have identified functionally conserved molecular components such as the pax6 family of genes (eyeless/ Eye and twin of eyeless/ Toy) and their targets sine oculus/So, eyes absent/Eya, and dachshund/Dach [9,10,11], which regulate early eye development in both invertebrates and vertebrates. Similarly, the proneural gene atonal/Ath5 is required for the determination of the first retinal neuronal cell type in the eyes of both arthropods (R8 photoreceptor) and vertebrates (retinal ganglion cell) [12]. These examples highlight a small subset of studies that have identified key components of conserved GRNs related to photoreceptor development. More recently, SupCs have also been demonstrated to be vitally important for eyes, providing glia-like structural, metabolic, trophic, and functional support to photoreceptors [13, 14]. Although less studied, some broad functional and molecular similarities, including components of GRNs, have been identified between the SupCs of species with distinct evolutionary origins. For example, recent studies have suggested that the vertebrate retinal pigmented epithelium is functionally analogous to the interommatidial pigment cells of D. melanogaster compound eyes. Both tissues physically interact with photoreceptor cells and provide essential support through neurotransmitter storage/recycling, lipid metabolism, ion homeostasis, energy support, and neuroprotection [15,16,17]. A second critical cell type in D. melanogaster compound eyes is the lens-secreting Semper cells, which also provide important support to adjoining photoreceptor cells [17]. Both cell types share many features with arthropod glia.
There are several types of arthropod glia, the functional specialization of which depends on their location in the nervous system. In D. melanogaster, based on the constitutive expression of the pan glial transcription factor repo, six distinct glial subfamilies are currently recognized: perineurial glia, subperineurial glia, cortex glia, astrocyte-like glia, ensheathing glia, and wrapping glia (for details of each type, see [18]). Additionally, specific glial subtypes that do not express repo, such as larval midline glia and peripheral sheath cells, have also been identified [18]. Thus, similar to vertebrate glia, arthropod glia are complex and their identification requires a combined understanding of support function and molecular expression. Arthropod glia exhibit several conserved functional parallels with vertebrate glia, including blood–brain barrier (BBB) formation, axon guidance, provision of metabolic/ionic support to neurons, neurotransmitter storage/recycling, structural support, and osmoregulation [19]. Parallels also extend to glial properties that were previously considered vertebrate specific. For example, in D. melanogaster cut-positive [20] wrapping glia envelop adjoining peripheral axons [21] in a manner similar to the myelination of oligodendrocytes in vertebrates. Similarities also exist between the BBBs of vertebrates and D. melanogaster. In both cases, glia allow the transfer of specific support molecules that are required by the underlying neurons while limiting exposure to circulating fluids [22].
In vertebrate eyes, the Müller glia span the entire depth of the retina and have been suggested to act as light guides for photoreceptor cells by reducing light scatter [23]. These highly branched cells fine tune photoreceptor activity by a) neurotransmitter recycling (e.g., by expressing glutamine synthetase glul), b) potassium (K+) spatial buffering (e.g., by expressing inward rectifying K+ channel kir4.1), a process by which Müller glia regulate the excitability of retinal neurons [24], and c) osmoregulation through water transport mediated by aquaporins such as aqp4 [25, 26]. Notably, in D. melanogaster, Semper cells show enriched expression of orthologous genes gs2, kir4.1, and drip, which are likely to perform analogous support functions [14]. Additionally, these cells are specifically marked by the expression of the transcription factor Cut, which is also expressed in other D. melanogaster glia [20, 27]. These similarities could be indicative of the presence of SupC-specific GRNs, which could provide a new model for discovering conserved fundamental processes that regulate glia–neuron interactions. To explore this possibility, it is insightful to obtain tissue specific gene expression data of arthropod eyes other than D. melanogaster compound eyes. A particularly good comparative model for this purpose is the high-functioning camera eyes of the larvae of holometabolous insects such as the sunburst diving beetle Thermonectus marmoratus.
T. marmoratus are predaceous diving beetles (family: Dytiscidae), which possess compound eyes as adults. As larvae, they possess 12 single-chambered camera-type eyes, 6 on each side [28], of which, 4 are enlarged with a cylindrical shape and are known as principal eyes (Fig. 1A). These eyes have been studied extensively in our laboratory in regard to development [29], anatomy [30], physiology [31, 32], and optics [33, 34]. We have shown that these eyes provide exceptional vision, which can be analyzed using optics, physiology, and behavior [32, 34, 35]. We have developed some molecular tools for genetically manipulating these larvae [36], which can be applied to understand specific molecular functions in these complex camera eyes. The larvae belong to the first extant species known to possess bifocal lenses, which likely assist in estimating prey distance [34]. These complex lenses are partly secreted by a subset of SupCs that are similar to those in D. melanogaster and are located in the distal tubular region of the principal eyes [33] (Fig. 1B). Thus far, the molecular make-up of SupCs in these camera eyes has not yet been explored. However, based on their embryonic development [29] as well as the expected compound eye ancestry of the camera eyes of holometabolous larvae [37], these eyes are an exciting system for exploring a possible role of conserved GRNs. Based on their organization, the lens-secreting SupCs closer to the lens are expected to be similar to D. melanogaster pigment cells, whereas the SupCs closer to the underlying photoreceptors are expected to be similar to D. melanogaster Semper cells (Fig. 1C). Lastly, based on histological observations, these SupCs send out projections that enwrap the photoreceptor cells and are therefore well positioned to perform glia-typical functions. One strength of this study system is that the SupC-enriched tubular region is anatomically distinct from the retina, which allows the eyes to be physically divided into these two regions (Fig. 1D&E). This organization provides a unique opportunity to conduct tissue-specific transcriptomics to understand the molecular makeup of SupCs without utilizing complex techniques such as FACS sorting.
Here, we generated bulk SupC and retina-specific transcriptomes to test the hypothesis that the SupCs in T. marmoratus camera eyes have glia-typical gene expression and function. It is important to point out that this method was unable to differentiate between specific SupC types; therefore, the resulting transcriptomes reflect the entire SupC population. We also tested for overlap between the expression profiles of these SupCs and those of D. melanogaster Semper cells and zebrafish and mouse Müller glia to identify specific genes that could be part of generally conserved SupC-specific GRNs in animal eyes.
Methods
Animal husbandry, RNA isolation and RNA sequencing
All T. marmoratus larvae came from our lab-reared colony and were raised in a 14 h light–10 h dark cycle at 25 °C. Due to the tissue size and ease of handling, the larvae used in this study were 3–4 day old third instars. For RNA isolation, each individual was anesthetized on ice and dissected in RNAlater™ solution (Invitrogen, #AM7021). The two principal eyes (E1 and E2) pooled from 20–24 larvae were dissected into SupC-rich tubes and photoreceptor-rich regions, collected separately in RNAlater™ solution, and stored at -20 °C until further processing. Three such biological replicates of the two tissues were generated. The total RNA from all tissues was isolated using an RNeasy Lipid Tissue Mini kit (Qiagen, #74,804) according to the manufacturer’s protocol. Quality control and sequencing of the eluted samples were performed by the DNA Sequencing and Genotyping Core at the Cincinnati Children’s Hospital Medical Center. Poly(A) libraries were prepared and sequenced on an Illumina NovaSeq 6000 system. For each sample, 20 million paired-end reads of 100 bp in length were generated. Raw reads for the support cell, retina and molting transcriptomes were deposited to the NCBI Sequence Read Archive, project numbers PRJNA995340 and PRJNA995342.
De novo assembly
The raw RNA seq reads for each eye-specific sample as well as the T. marmoratus transcriptomes previously published by our group [33] were trimmed using default settings and assessed for quality using FastQC [38].
All datasets were combined (~ 250 million reads) assembled de novo with both CLC genomics workbench 12 (Qiagen, 12.0) and Trinity [39] using default settings. The two assemblies were combined to generate the final contig library. Duplicate reads in the assembly were eliminated using CD-HIT [40, 41]. TransDE was used to determine open reading frames for protein coding genes and the assembly and the CDS version was annotated with the D.melanogaster proteome (Contigs with an e value less than 10–10 and a bit score over 80 were considered a match to D. melanogaster). Completeness of the transcriptome was estimated with BUSCO (version 4) [42], which was at 98.2% (complete).
DE seq analysis
To identify the genes enriched in the SupC and retina regions, differential RNA seq analysis was performed on the CLC Genomics Workbench (Qiagen, 12.0) with the default settings, previously used in other arthropod systems [43,44,45]. The reads were normalized to transcripts per million (TPM). Statistical analyses were performed using an EDGE test and a Baggerly’s test (specifically for D. melanogaster due to single replicates) to identify the transcripts that were significantly enriched in the two tissues using a false discovery rate (FDR) adjusted p-value cut-off of < 0.02. To identify key tissue-specific biological processes, GO analysis was performed on g:Profiler using D. melanogaster as a proxy for the corresponding T. marmoratus contigs in each transcriptome [46]. Treemaps were constructed for both tissues based on enriched GO categories with Revigo [47].
Transcriptome validation and heat map generation for glia-like genes
To validate the SupC transcriptomes, tissue-specific enriched genes were compared with the gene list of 10 T. marmoratus lens proteins previously identified as contributing to the lens [33], which itself has been shown to arise through secretion by the SupCs [29]. Contigs with a BLAST e-value less than 10–10 to previously identified lens protein and an FDR-adjusted p-value of < 0.02 based on our RNA-seq analyses were selected. Validation of the retina transcriptomes was performed using contig cut-offs similar to those described for the SupCs. Genes known to be related to photodetection and transduction were selected for validation, which are expected to have specific expression patterns in eye tissue types based on previous studies [48, 49]. To investigate the possibility that the SupCs could be glial in nature, genes known from other glia or associated with glia-typical support functions were selected based on the above-mentioned parameters. Expressed genes that did not show significant enrichment in either tissue were also included. The normalized gene expression values for the selected genes were plotted as heat maps on R using R studio with the pheatmap package [50].
Interspecies comparison
For interspecies comparisons, D. melanogaster Semper cell and photoreceptor transcriptomes [17] along with mouse and zebrafish Müller glia and retina neuron transcriptomes [51] were downloaded from the NCBI Sequence Read Archive (SRA). Raw files of these RNA-seq datasets were treated as described above to establish tissue-specific enrichment.
To assess overlap, each transcriptome was compared with the T. marmoratus transcriptomes using the BLASTx function [52]. Overlapping T. marmoratus contigs were identified based on BLAST e-value cut-offs of 10–100 for D. melanogaster transcriptomes and 10–60 for mouse and zebrafish transcriptomes. We compared the tissue-specific enriched transcriptomes in all permutations and combinations between all tissue types (SupCs, Semper cells, Müller glia, retina, photoreceptors, and retinal neurons) using a freely available Venn diagram software (https://bioinformatics.psb.ugent.be/webtools/Venn/). Contigs that overlapped in the SupCs of all species and in the retinal cells of all species were annotated based on the D. melanogaster proteome, and the associated function in D. melanogaster was listed as indicated on FlyBase [53].
Immunohistochemistry
Cut antibody staining was performed using a protocol modified from Rathore et al., 2023 [8]. T. marmoratus third instar larvae were dissected and fixed in 4% formaldehyde solution, washed with PBS, and flash frozen in Neg50. The heads were cryosectioned sagittally into ~ 20 µm slices on a cryostat (Leica CM1850) and stained with an anti-Cut antibody (1:50; DSHB) overnight at 4 °C. These slices were then stained with a secondary antibody (anti-mouse Alexa Fluor 488, Thermo Fisher #A32723), mounted in Fluoromount with DAPI (Thermo Fisher #00495952), and imaged with a Leica SP8 confocal microscope.
Results
Anatomically distinct SupC and retina regions show functional specialization at the molecular level
To understand whether the SupC and retina regions of T. marmoratus principal eyes are functionally distinct, we generated transcriptomes (see STab1 & 2 for a list of genes described in this manuscript) and characterized the contigs with enriched transcript levels for both tissues using gene ontology (GO). Based on the significant GO classes obtained, the SupCs were enriched in genes associated with the development of anatomical structures, regulation of various biological processes, translation initiation, response to external stimuli, oxoacid catabolism, and molting (Fig. 2A). Other groups included genes associated with developmental processes, multicellular organismal process, localization, small molecule metabolism, carbohydrate metabolism, and general cellular processes (Fig. 2A). In contrast, the retina region was enriched in genes related to transport regulation, export from cells, response to light stimuli, cell signaling, cell junction organization, nervous system processes, and lipid metabolism (Fig. 2B). Other groups included genes associated with cell communication, cell localization, cell signaling, responses to stimuli, locomotion, homeostasis, cell regulation, rhodopsin metabolism, circadian rhythm, development, and organic hydroxy compound metabolism (Fig. 2B). Taken together, the expression profiles of these two tissues suggest functional specialization, with SupCs regulating development and support functions and the retina region being involved in light detection and neuron-typical regulatory functions.
Validation of SupC and retina transcriptomes
To validate whether these two types of transcriptomes capture the expression of specific genes, we assessed the transcript levels of specific proteins that are expected to be enriched in each cell type. For SupCs, we evaluated the expression of lens protein genes, the localization of which already has been established by in situ hybridization [33]. T. marmoratus larvae have structurally complex bifocal lenses that are partly secreted by the SupCs in the principal eyes. We previously identified 10 cuticular lens proteins that are enriched in the SupCs of the principal eyes, among which, only 2 (lens 6 and lens 7) also show some expression in the retina region [33]. Upon comparing the transcriptomes with the nucleotide sequences of the 10 lens protein coding genes, we found 7 genes that matched closely with respective contigs. Of these, lens 1, 2, 3, 5, 9, and 10 were exclusively enriched in the SupCs, whereas for lens 7, one of six contigs was enriched in the retina tissue (Fig. 3A), showing high congruence between our results and previously available lens protein expression profiles [33]. Other lens protein coding genes (lens 4, 6, and 8) were not expressed highly enough to be detected in this analysis.
For the retina, based on our previous work on photoreceptor cell development, anatomy, and opsin expression [28,29,30], we analyzed the expression of genes associated with photodetection and transduction. As the T. marmoratus contigs were annotated with the D. melanogaster proteome, the gene names used hereinafter follow the same nomenclature. We found three visual opsins, rh4, rh3 (UV sensitive), and rh6-partial (green sensitive) [49], enriched in the retina, which agrees with a previous expression analysis [30]. In addition, a single nonvisual opsin, rh7 [54], was enriched in the SupCs (Fig. 3B). Furthermore, typical invertebrate phototransduction genes such as ninaC isoforms a and b, ninaA, ninaB, rdgA, rdgB, gqA, and arrestins 1 and 2 [48] were enriched in the retina (Fig. 3B). Together, these results validated that the anatomical regions consisted predominantly of the expected cell types.
Cut expression is conserved in a subset of SupCs
Several transcription factors showed either a tendency towards enrichment (cut (ct), bar homolog2 (bh2)) or significant enrichment (eyes absent (eya) and sine oculis) in the SupCs, whereas prospero (pros) showed a tendency towards enrichment in the retina (Fig. 4A). The observed eya expression in T. marmoratus SupCs is consistent with a persistent post-differentiation expression in the support cells of D. melanogaster retina [55].
Of particular interest is the homeobox transcription factor Cut, which is expressed in many glial cell types in D. melanogaster, such as wrapping glia, sheath glia, and Semper cells [17, 18, 20], and is also conserved in the Semper cells of adult T. marmoratus compound eyes [8]. In a previous study [29] we raised the possibility that T. marmoratus SupCs may have evolved from compound eye support cells (Fig. 1D).Therefore, we tested if Cut is also expressed in the larval T. marmoratus SupCs. Our findings are consistent with our homology model for insect ommatidia and T. marmoratus principal eyes. Conserved expression was only expected in a specific subset of SupCs, which in addition to low expression levels and a possible disjunction between the transcript and protein levels [56], could explain the relatively poor signal-to-noise ratio for cut expression. To investigate this possibility further, we used a D. melanogaster anti-Cut antibody, which was previously established to cross-react with T. marmoratus adult eyes [8] to stain cryosectioned larval camera eyes. Consistent with our predictions, Cut protein expression was restricted in the nuclei of a small subset of distal SupCs in the principal eye tubes (Fig. 4B & SFig. 1). These results indicate that the small subset of Cut-positive SupCs may be homologous to D. melanogaster Semper cells, suggesting that at least this region of the eye tubes could serve as glia.
Investigating glia-like support functions in the SupCs of camera eyes
Glia in both insects and vertebrates are known for their characteristic gene expression and associated support functions [18, 57]. To test whether SupCs could be glia, we assessed the SupC and retina transcriptomes for the enrichment of genes that are expressed in other insect glia. We found SupC enrichment of the following key glial genes (Fig. 5A): two isoforms (b and j) of myosin light chain kinase strn-mlck, which is expressed in D. melanogaster subperineurial glia and is essential for BBB integrity [58]; TGF-beta ligand myo, which is generally expressed in D. melanogaster glia and is necessary for neural circuit remodeling [59]; axo, a member of the neurexin superfamily that is expressed in ensheathing glia [60] and associated with neuronal excitability and synaptic plasticity [61]; and ttk, a C2H2 zinc finger domain transcription factor that is necessary for the differentiation of glia [18], including compound eye cone and Semper cells [62]. In contrast, repo, which is a marker for most glial cells in D. melanogaster [18], showed lower expression in the SupCs than in the retina region (Fig. 5A).
Glia in D. melanogaster regulate innate immune responses to external antigens that are introduced as bacterial/fungal infections or traumatic injuries [63]. In the T. marmoratus principal eyes, the SupCs form a physical barrier between the external larval hemolymph and the internal photoreceptors (Fig. 1B, [29, 64]), and this placement leads us to expect involvement in immune responses. Consistent with this expectation, we found SupC enrichment of bacterial and fungal response proteins such as gnbp3, lmpt, imd, and tollo. Additionally, ring domain ubiquitin ligase dnr1 and transcription factor dl, which function downstream of Toll-like receptors (tollo), were also enriched in SupCs (Fig. 5B). Considering the vital role of imd and tollo in regulating the innate immune response in flies [63] and the expression of other immunity-related genes, the SupCs of T. marmoratus larval eye tubes may be essential for regulating protective functions for the photoreceptors that they enwrap.
As in vertebrates, the central nervous system neurons of arthropods tend not to make direct contact with the hemolymph and are shielded by glia. Functions related to this BBB, including the presence of septate junctions between glial cells [65], are fundamental to certain glial cells and are best understood in D. melanogaster. We found SupC enrichment of the following septate junction formation genes: pasi2, fas3, sinu, and kune [66, 67] (Fig. 5C). Glia also mediate the transport of specific small molecules such as ions, other osmolytes, and water (Fig. 5D and E). Accordingly, we found SupC enrichment of small molecule transporters including potassium transporters (irk2 and task7), a sodium symporter (rumpel/cg9657) that is also expressed in D. melanogaster ensheathing glia [68], chloride transporters (clic, clc-c, and bes2), and a glial amine transporter (path) [66] (Fig. 5D). For genes involved in ion transport and osmoregulation, we only found SupC enrichment of a serotonin receptor (5-HT2A) [69], a single vacuolar H + ATPase (vha100-2), and a neurotransmitter transporter (ine) (Fig. 5E), which is expressed in the perineurial glia of D. melanogaster and is associated with water regulation in malpighian tubules (Luan et al., 2015). For other genes that are typically associated with water transport, including aquaporins aqp, eglp4, prip, drip, and bib, we did not find any significant enrichment in the SupCs compared with the retina region (Fig. 5E). In contrast, drip enrichment has been observed in D. melanogaster Semper cells [17]. Thus, there is transcriptomic support for SupCs playing a role in barrier formation between the neuronal part of the eye and its surroundings, including for ion transport, which may be associated with the regulation of osmotic processes.
Glial cells also provide metabolic support to the adjoining neurons, which can lack storage capabilities for energy-rich molecules such as carbohydrates and lipids [17, 70]. Hence, glucose uptake, transport, and storage are important support functions mediated by glia. Consistent with such functions, we found SupC enrichment of genes associated with the pentose phosphate pathway (PPP) (zwi and pgd) and glycogenesis (Gbs76A, ABGE, gyg isoforms I and B, and atpcl). In regard to glucose homeostasis, we found two glucose transporters (pippin and glut1 isoform W) to be enriched in the SupCs, whereas two glut1 isoforms (S and P) were enriched in the retina (Fig. 6A). Genes regulating glutamate metabolism such as gs2 are consistently expressed in D. melanogaster astrocyte-like glia, ensheathing glia, and Semper cells [70]. Similarly, we found that two glutamate receptors were enriched in the SupCs (Kair1D and clumsy). Notably, a different glutamate receptor (Ekar) and a predicted glutamate receptor associated protein (CG11155) were enriched in the retina region (Fig. 6B). Lastly, the SupCs were enriched in both glutamine synthetase enzymes (gs1 and gs2) (Fig. 6B), which further supports their glia-like nature.
Fatty acid storage and metabolism are another known support function of glial cells in the D. melanogaster nervous system [71]. Accordingly, we found SupC enrichment of many predicted lipid enzymes such as serine hydrolase CG31683 isoform B, fatty acid elongase CG31522 isoform B, fatty acyl-CoA reductase CG4020 isoform A, triacylglycerol lipase CG6847 isoform A, and fatty acyl-CoA reductase CG1441 isoform B (Fig. 6C). Other lipid metabolism genes enriched in the SupCs included fatty acyl-CoA reductase wat, which is necessary for tracheal lumen clearance [72], desaturase desat2, oxidoreductase sccpdh2, and two isoforms (A and B) of fatty acid transporter fatP2 (Fig. 6C). Although these genes are associated with lipid metabolism, their role has not been tested directly in any D. melanogaster glia. Nevertheless, their consistent enrichment in the SupCs is suggestive of the nature of the metabolic pathways undertaken by these cells.
Finally, the SupCs were also enriched in cell adhesion molecules such as a gap junction protein (inx3), an alpha catenin family member (vin), a cell adhesion molecule expressed in longitudinal glia (uzp) [73], and an adherens junction associated protein (smash) (Fig. 6D). Cell adhesion is a key glial support function that is required by neurons for accurate structural development and function [74]. In addition, we also found an atypical cadherin family transmembrane protein (ft), which has a well-documented role in regulating hippo signaling and tissue growth [75]. However, it remains unclear whether ft plays a role in cell adhesion.
Overall, our expression analysis of the SupC region in the principal camera eyes of T. marmoratus provides clear evidence for the expression of many insect glia-typical genes and the enrichment of genes related to glia-typical structural, trophic, and metabolic support functions.
Probing molecular overlap of functionally similar tissues in arthropod and vertebrate eyes
To determine whether any genes in the SupC and retina regions overlap with equivalent tissues in arthropod compound and vertebrate camera eyes, we adopted a comparative transcriptomics approach. For arthropods, we used the adult Semper cell and photoreceptor transcriptomes from [17], and for vertebrates, we used the control Müller glia and retinal neuron transcriptomes of mouse and zebrafish from [51]. There were 63 unique hits when contrasting SupCs and Semper cells, 20 unique hits when contrasting SupCs and Müller glia (zebrafish), and 31 unique hits when contrasting SupCs and Müller glia (mouse) with 6 genes that were common to all of the investigated species (Fig. 7A). These common genes are involved in triglyceride homeostasis, cuticular biosynthesis, glutamate metabolism, BMP signaling, and cell polarity maintenance (Fig. 7B). Similarly, there were 41 unique hits when contrasting retina and photoreceptors, 10 unique hits when contrasting retina and retinal neurons (zebrafish), and 37 unique hits when contrasting retina and retinal neurons (mouse) (Fig. 7C). An additional seven genes involved in glutamate response, enabling glutamate receptor activity, NMJ development, phototransduction, negative regulation of hippo signaling, and neurotransmitter secretion were common to all the investigated species (Fig. 7D).
Discussion
Despite their distinct phylogenetic origins and functional specialization, different eye types have several conserved GRNs that are necessary for achieving important checkpoints during the formation of a functional eye [9,10,11,12]. The main objective of this study was to identify potential GRNs in the relatively understudied SupCs of arthropod eyes, within the framework of camera eyes. The principal camera eyes of T. marmoratus larvae have well-developed SupCs that are anatomically distinct from the photoreceptors (Fig. 1B). Dissecting these eyes into proximal tubular SupC and distal retina regions (Fig. 1E) presents a unique opportunity to explore SupC-specific molecular processes.
Success of tissue-specific transcriptomics
The overall gene expression patterns are consistent with the successful separation of the larval camera eyes into SupC and retina regions. The molecular characterization indicates tissue-specific functional specialization in these regions, with the SupC region likely regulating non-neuronal processes and the retina region showing enrichment in genes that underlie neuron-typical and photoreceptor-specific processes (Fig. 2). It should be noted that despite well-defined expression differences between the two regions, some level of cross-contamination between the tissues is expected. Specifically, as the SupCs have fine projections that wrap around the retina region, these cell portions were inadvertently included in the retina transcriptome. Conversely, a small medial retina in E1 extends into the SupC region [28]. Despite this limitation, our transcriptome verification is consistent with previous expression analysis [33] and known functional specialization of the two eye regions. Consistent with our expectations, the SupCs are enriched in most of the lens proteins previously reported by our group [33]. Notably, for lens 7, one of the six contigs is enriched in the retina region (Fig. 3AB), in agreement with prior in situ staining, which suggests that lens 7 is expressed in both the SupC and photoreceptor regions [33]. Similarly, the enrichment of photodetection and transduction pathways in the retina region includes green- (rh6) and UV-sensitive visual opsins (rh3 and rh4), which is consistent with the reported opsin expression [30] and spectral sensitivity [31] of T. marmoratus larvae (Fig. 3B). The only exception to the reported opsin expression in the SupCs is the UV-sensitive nonvisual opsin rh7, which has not been previously described in T. marmoratus. However, Rh7 expression has been identified in the brain and compound eyes of D. melanogaster to generate a nonvisual photopigment [54, 76]. In the brain, Rh7 is expressed in a specific subset of neurons that are important for circadian rhythms [54]. In the compound eyes, some evidence suggests that Rh7 is involved in circadian entrainment [76], but otherwise its roles remain elusive. A reporter-based expression analysis revealed weak expression in R8 cells and high expression in the fenestrated layer, which consists of subretinal glia and pigment cells [77]. Although a deeper analysis of this expression pattern is needed in D. melanogaster, these data raise the possibility for deep conservation of rh7 in arthropods. Additionally, as the function of this opsin remains elusive in arthropod visual systems, it would be interesting to test if some of the SupC-specific processes related to circadian entrainment are regulated by rh7.
Importance of Cut in a subset of SupCs
The expression of the transcription factor Cut in a subset of the SupCs in T. marmoratus (Fig. 4B and C) follows previous predictions regarding the cellular identity of specific regions in the complex principal eyes of T. marmoratus (Fig. 1D) and further suggests that the role of this transcription factor may be conserved in arthropod eyes. We recently found that cut RNAi in the Semper cells of functionally different compound eyes (optical apposition eyes in D. melanogaster and optical superposition eyes in T. marmoratus) results in common deficits in the two eye types, including the general disorganization of the ommatidial array with incidences of lens fusion, lens defects, and rhabdomere displacement [8]. These observed parallels are insightful, as they point towards the conservation of key functions and provide an understanding of the role of Cut in functionally different contexts. The conservation of the role of Cut is also consistent with a general model for the development of most arthropod eyes [78], which includes predictions about how image-forming lens eyes may have evolved from compound eyes. These findings lead to questions regarding how cut knockdown might affect the development and function of the T. marmoratus camera eyes.
Comparison of gene expression patterns in SupCs and retina generally support glial functions in SupCs
Identifying insect glia is a complex process due to their intricate molecular and functional profiles. Thus, it is expected that new glial subtypes are yet to be identified [18]. The transcription factor repo is a marker for most insect glial cells and is required for their differentiation but is not found in vertebrates [18]. Notably, not all glial cells in D. melanogaster are repo-positive [18], which allows insect glia to be divided into repo-expressing and non-expressing groups. For the Semper cells in D. melanogaster, repo expression is transient, only being detectable during the early developmental stages [17]. Therefore, it is plausible that the T. marmoratus SupCs do not show repo positivity because the transcriptomes are based on fully developed third instar larval eyes (Fig. 5A). The observed repo enrichment in the retina region may also be due to enrichment in the SupCs that tightly wrap around the photoreceptors. The enriched expression of insect glia genes other than repo in T. marmoratus SupCs (Fig. 5A) further supports our hypothesis that these cells are a type of glia.
The classification of T. marmoratus SupCs as glia is also evidenced by the gene expression patterns associated with specific support functions. The SupCs are enriched in genes associated with regulating homeostasis in the nervous system. Additional studies will be needed to evaluate expression of these genes in other insect glia, but our data points towards SupCs providing a broad range of homeostatic support to the adjoining photoreceptor cells, including the expression of genes that regulate immune responses in SupCs (Fig. 5B) and BBB-associated genes (Fig. 5C). Such functions could be important for SupCs because they directly interact with the hemolymph, which is the source of most pathogens. Similarly, the enriched expression of small molecule transport genes in the SupCs (Fig. 5D) suggests that these cells could be actively involved in regulating neuronal access to specific molecules. Our data suggest that the SupCs might also help maintain important ionic gradients around the photoreceptors. The enriched expression of inwardly rectifying potassium channel 2 (irk2) in the SupCs (Fig. 5D) is particularly notable, as this gene is also enriched in D. melanogaster Semper cells [17] and is homologous to vertebrate Kir4.1, which is required by Müller glia to maintain retinal function [25].
Another vital process that is relatively understudied in insect glia is osmoregulation. In vertebrate eyes, Müller glia provide osmoregulatory support to the photoreceptor cells by shuttling ions (with the help of ion channel kir4.1) and water (with the help of aquaporins such as aqp4) in and out of the eye [25]. In D. melanogaster, Semper cells also appear to be involved in these processes, as they are enriched in osmoregulatory genes including aquaporin drip [17], which shows sequence similarity with aqp4. However, in T. marmoratus aquaporins are expressed in both cell types, with SupCs being only enriched in some related genes, such as those that support ion movements, with little enrichment in genes that code for water channels. Nevertheless, SupC enrichment of genes known to be important for osmoregulation in the malpighian tubules [69] is highly suggestive of an osmoregulatory role for these cells in the camera eyes of T. marmoratus larvae. Furthermore, the ubiquitous expression of aquaporins in the SupC and retina regions could highlight the importance of osmoregulation for the entire eye (Fig. 5E).
Glia also provide metabolic support to neurons [19]. Accordingly, the SupCs are enriched in genes that regulate carbohydrate, glutamate, and fatty acid metabolism (Fig. 6A–C), including the enrichment of glycogen storage genes. In contrast, glucose transporter glut1 has a more complicated expression pattern, with isoform W being enriched in the SupCs and isoforms S and P being enriched in the retina region. These results are consistent with the known expression in both the glia [79], including Semper cells [17], and neurons [80] of D. melanogaster. The enhanced expression of PPP rate-limiting enzymes in the SupCs (Fig. 6A) is intriguing because this pathway is relatively understudied in D. melanogaster glia. A recent study found that the PPP is necessary for meeting the energetic needs of D. melanogaster neurons [79]. Additionally, the PPP is upregulated in vertebrate astrocytes in response to high glucose environments to combat oxidative stress [81]. Therefore, an understanding of the role of the PPP in arthropod glia could lead to important discoveries regarding the evolution of neuron–glia metabolic coupling. The enrichment of glutamine synthetases (gs1 and gs2) in the SupCs and the expression of glutamate receptors in both the SupC and retina regions suggest a requirement for glutamate metabolism in these two tissues. Although this glial function is well understood in the glutamatergic synapses of both D. melanogaster [82] and vertebrates [83], it remains elusive in arthropod retina. Specifically, gs2 is interesting because it is expressed in both D. melanogaster SupCs [17] and vertebrate Müller glia [84]. In Müller glia, this has been attributed to metabolic rather than phototransduction processes, as gs2 is required to maintain photoreceptor responses to light stimuli [85]. Similarly, as the arthropod retina uses histamine instead of glutamate as a neurotransmitter [86], it is likely that the glutamate–glutamine conversion reaction is also primarily related to metabolic support functions [14].
Evolutionary implications
Despite considerable diversity in eyes, much discussion has focused on the deep conservation of photoreceptor cells [87], with relatively little attention given to other components. From a developmental perspective, arthropod eye SupCs and PRs are relatively closely related, with SupCs differentiating immediately after PRs from a common precursor epithelium. In D. melanogaster the last-differentiation PR (R7) is even recruited from a cell cluster (the R7 equivalence group) that also gives rise to the 4 Semper cells [14]. Several transcription factors, including eya which is a key contributor to the retinal determination gene network, are expressed in the progenitors of both cell types [55], further highlighting their relatively close developmental relationship. GRNs in recent years have gained attention as deeply conserved network motifs, referred to as kernels [88], that have the potential to foster evolution of novelty within a gene network [89]. While cellular homology is impossible to discern from this type of analysis, our tissue specific transcriptomes include a multitude of genes that are associated with the supportive function of glia, including vertebrate eye glia. Specifically, the six genes that overlap between T. marmoratus SupCs, D. melanogaster Semper cells, and mouse and zebrafish Müller glia (Fig. 7A & B) point towards ubiquitously important processes in phylogenetically and functionally different eye types. Notably, gs2 is crucial because it is also conserved in vertebrate Müller glia and is necessary to maintain photoreceptor responses to light stimuli in rats [85]. Our analysis revealed enriched expression of many genes that in other systems are associated with specific functions and follow up loss and gain of function studies will be necessary to evaluate specific putative functions of these genes within arthropod eyes. As for the evolutionary origins of the discussed genes, additional comparisons will help to shed light on which of the observed similarities could point towards deep conservation of glia-typical kernels. An alternative is these genes might have been recruited in specific lineages after eye development leading to a functional convergence between distantly related species. The former has the potential to date back ~ 500 million years [90], as the primordial photodetection unit is thought of as a photoreceptor cell and a pigment cell [3]. Regardless, our study illustrates how a non-typical model system can provide important pointers towards fundamental processes between eye-specific support cells and adjacent photoreceptors.
Availability of data and materials
T.marmoratus larvae will be made available by the Buschbeck lab upon request.
The datasets generated and analyzed during the current study are available on NCBI as PRJNA995342 and PRJNA995342”.
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Acknowledgements
We would like to thank Dr. Tiffany A. Cook and Dr. Mark Charlton-Perkins for helpful guidance during the course of this project; the Genotyping and Sequencing Core at Cincinnati Children’s Hospital Medical Center for sequencing the transcriptomes; Chet Closson at the Live Microscopy Core (LMC, UCMC) for assistance with confocal imaging; Auggie Jester, Issac Wolff, Christine Swan, and Thiane Thiam for assistance with rearing the beetle larvae; Amartya Mitra for editing the MS and members of the Buschbeck laboratory for helpful suggestions.
Funding
This research was funded by the National Science Foundation under IOS-1856241 (EKB), with partial support by NIH/NIAID grant R01AI148551 and NSF DEB-1654417 (JBB). A Weimann-Benedict Grant and Graduate Student Research Fellowship were awarded to SR by the Department of Biological Sciences and the Graduate Student Governance Association, University of Cincinnati.
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E.K.B. and S.R. conceptualized the study. S.R. and A.S. collected the data and generated the transcriptomes. S.R. carried out the experiments and collaborated with J.B.B. for data curation. S.R. and E.K.B. wrote the first draft of the manuscript. All authors read and approved the final manuscript.
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Additional file 1:
SFig1. Expression of Cut in a subset of SupCs in the proximal portion of the eye tube. A. DAPI staining of eye tubes reveal nuclei in the periphery of eye tubes. B. A Cut antibody (green), labels clusters of SupC nuclei in the proximal portion of the eye tube. C. The overlay of DAPI and Cut staining illustrates that Cut positive nuclei comprise a sub-set of nuclei of SupCs. Scale bar = 100 µm.
Additional file 2:
STab 1. Listing genes used for the treemap.
Additional file 3:
STab 2. Listing genes used for heatmaps.
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Rathore, S., Stahl, A., Benoit, J.B. et al. Exploring the molecular makeup of support cells in insect camera eyes. BMC Genomics 24, 702 (2023). https://doi.org/10.1186/s12864-023-09804-5
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DOI: https://doi.org/10.1186/s12864-023-09804-5