The Emergence of Rod-Cone Cellular Interaction

We studied the origin of rod-derived cone viability factor (RdCVF) during evolution. In mammals, the nucleoredoxin-like 1 gene (NXNL1) produces a truncated thioredoxin-like protein, RdCVF, by intron retention in rod photoreceptors of the retina. This protein prevents the secondary cone degeneration in animal models of rod-cone degeneration. Extracellular RdCVF binds to a complex at the surface of the cones, composed of the basigin-1, a photoreceptor specific alternative splicing product of the basigin gene, and GLUT1, the glucose transporter. RdCVF accelerates glucose uptake allosterically. Glucose is either metabolized by aerobic glycolysis to sustain cone outer segment renewal or by the pentose phosphate pathway to support redox power to the thioredoxin RdCVFL. RdCVF signaling predates the appearance of the eye and evolved through two alternative splicing events. RdCVF signaling is observed first in hydra where it regulates an unknown signaling. A scallop RdCVF protein is produced by ciliated photoreceptors of the retina and binds its receptor, BSG1, the first occurrence of RdCVF/BSG1 signaling. In the lamprey, RdCVF metabolic signaling between rod and cones is fully operational. In the mouse, the production of BSG1 is regulated through alternative splicing. This signaling was extended to other regions of the brain, via its paralogue NXNL2.

Introduction

With only 2% of human body mass, the brain of an adult human uses about 15–20% of the body’s total glucose-derived energy (Bauernfeind and Babbitt, 2020). The brain depends upon glucose as its main source of energy (Mergenthaler et al., 2013). In the adult brain, it is the neurons that have the highest energy demand, requiring continuous delivery of glucose from blood. In all multicellular organisms, ATP, the major energy source for all cells in the body, is predominantly supplied by metabolism of glucose by glycolysis and oxidative phosphorylation (Bauernfeind et al., 2014). In addition to being used as a source of energy, glucose can also be metabolized through anaerobic pathways to create biomolecules that are essential for neurons. Aerobic glycolysis occurs when glucose is incompletely metabolized to carbon dioxide and water, so that the intermediate molecules are used in anabolism pathways, as cancer cells do (Vander Heiden et al., 2009). During postnatal brain development, aerobic glycolysis is required for axonal elongation, myelination, and synaptogenesis. In adulthood, proteins, lipids, and amino acids are continuously synthesized to replace constituent molecules and to support neuronal plasticity by an increase of dendritic spines and synapses. Because human brain development is prolonged compared to nonhuman primates (NHP), humans require elevated levels of glucose for a longer duration than NHP. Several observations suggest that humans have benefited from molecules that have evolved during the primate lineage to allow brain to use energy more efficiently. Genomic data show that glucose metabolism has been a target of natural selection in primate evolution (Bauernfeind and Babbitt, 2014). In the genomes of humans and chimpanzees, the rates of sequence evolution in promoter regions of genes supporting glucose metabolism, as hexokinase 1, evolved more quickly than its associated coding region, a sign of positive selection. In addition, the upregulation of metabolic genes in the adult human neocortex suggests that, for the same brain weight unit, the human brain is more metabolically active than the brains of other adult primates.

It is the arteries of the brain that supply oxygenated blood and glucose to neurons and glia of the brain. Neurons are highly demanding of energy, especially upon activation. The brain is supplied by two internal carotid arteries and two vertebral arteries which branches into numerous arterioles (Agarwal and Carare, 2020). The non-fenestrated endothelium of the arterioles constitutes the blood-brain barrier. Neurovascular coupling is a rise in cerebral blood flow occurring in a timely and spatially restricted manner to the activated brain area in order to ensure adequate supply of oxygen and glucose to the activated neurons (Lecrux et al., 2019). Neurovascular coupling is at the basis of brain neuroimaging relying on local changes in blood flow. Hemodynamic-based neuronal activity can be imaged in the whole brain, non-invasively and repeatedly as surrogate of neuronal activity. Positron emission tomography (PET) is used to image cerebral blood flow and also the cerebral metabolic rate for oxygen using ¹⁵O (Lameka et al., 2016). In parallel, ¹⁸F-fluorodeoxyglucose (FDG) was developed to quantify brain glucose metabolism by PET (Muzi et al., 2001). Aerobic glycolysis is measured as the molar ratio of oxygen consumption to glucose utilization, the oxygen-glucose index (Vaishnavi et al., 2010). As a glucose derivative, FDG is transported into cells by glucose facilitated transporters (GLUT/SLC2A) and then subsequently phosphorylated by hexokinases into FDG-6-phosphate similarly to glucose is metabolized into glucose-6-phosphate (G6P) (Figure 1A). FDG-6-phosphate and G6P do not exit the cell, so the phosphorylation of FDG is the rate limiting step in the accumulation of PET signal, which undergoes very slow fading during the exam since FDG-6-phosphate is not further metabolized, contrarily to G6P. In rigorous enzymatic terms, quantitative PET images are proportional to the metabolic rate of FDG described by Michaelis-Menten constants for hexokinase 1 (HK1) and hexokinase 2 (HK2). In clinical practice and clinical research, quantitative imaging of FDG is a measurement of glucose uptake, so of the activity of glucose facilitated transporters. Any molecule that accelerates glucose uptake has a profound effect on the whole system.

FIGURE 1

FIGURE 1. The metabolic and redox signaling of the nucleoredoxin-like genes. (A) The cellular interaction between rods and cones in the retina. BSG1: basigin-1, BSG2, basigin-2, G6P: glucose-6-phosphate, GAPDH: glyceraldehyde-3-phosphate dehydrogenase, GLUT1: facilitated glucose transporter SLC2A1, LACT: lactate, MCT1: lactate transporter MCT1, MCT3: lactate transporter MCT3, NADP⁺: oxidized nicotinamide adenine dinucleotide phosphate, NADPH: reduced nicotinamide adenine dinucleotide phosphate, PK: pyruvate kinase, PYR: pyruvate, RdCVF: rod-derived cone viability factor, RdCVFL: rod-derived cone viability factor long, ROS: reactive oxygen species, TXNRD: thioredoxin reductase. (B) Schematic representation of the mouse nucleoredoxin-like 1 gene. (C) Schematic representation of the mouse nucleoredoxin-like 2 gene.

Metabolic and Redox Signaling by the Nucleoredoxin-Like 1 Gene

Retinitis pigmentosa (RP), also called rod-cone degeneration is a genetically heterogeneous retinal degenerative disease characterized by the death of rod photoreceptors followed by the progressive loss of function and degeneration of cones, whatever the expression pattern of the mutated gene (Verbakel et al., 2018). RP is the most common form of inherited retinal degeneration, affecting around two million people worldwide (Ferrari et al., 2011). Originally, the identification of a dominant mutation in the gene encoding for rhodopsin, the visual pigment of rods, explained the death of rods but not the secondary degeneration of cones since this gene is not expressed by cones (Dryja et al., 1990). The reason why a mutation in a gene expressed exclusively in rods can lead to loss of function and degeneration of cones was then proposed to results from the loss of non-cell autonomous protective effect of rod-derived cone viability factor (RdCVF), encoded by the nucleoredoxin-like 1 gene (Nxnl1) (Leveillard et al., 2004; Leveillard and Sahel, 2010). RdCVF is produced, secreted by rods and binds on the surface of the cone to basigin-1 (BSG1), the latter being in complex with the glucose facilitated transporter, GLUT1 (Ait-Ali et al., 2015) (Figure 1A). This interaction triggers an allosteric elevation of the uptake of glucose by cones. Cones metabolize glucose by glycolysis producing two molecules of pyruvate that are transported into the mitochondria where they are further processed by the Krebs cycle and the respiratory chain to produce ATP as for most neurons (Hayes et al., 2021). Mitochondria generate, as byproducts, radical oxygen species (ROS) because of leakage of the respiratory chain. Cones also convert pyruvate into lactate in the presence of oxygen by the aerobic glycolysis. Lactate is first transported out of the cones by lactate facilitated transporters MCT1 then though the retinal pigmented epithelium (RPE) by MCT1 and MCT3 located on the RPE apical and basal side, respectively (Leveillard et al., 2019). For reasons that remain unexplained today, the process of aerobic glycolysis is required for the diversification of glucose metabolism that allows phospholipid synthesis through the Kennedy pathway, which is needed for the renewal of cone outer segments (Leveillard, 2015). The cones have been shown to be vulnerable to oxidative stress (Komeima et al., 2006). Glucose metabolism by cones is negatively regulated by ROS that inhibit by cysteines oxidation two glycolytic enzymes, glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and pyruvate kinase M2 (PKM2) (Anastasiou et al., 2011; Reisz et al., 2016). The inhibition of the glycolytic flux triggers the metabolism of G6P, upstream in the chain of enzymatic reactions, by the pentose phosphate pathway (Figure 1A). This produces the reduction of NADP⁺ into NADPH, the cofactor of thioredoxin reductases, that reduce thioredoxins, as such as RdCVFL. RdCVFL is expressed by both type of photoreceptors, contrarily to RdCVF that is only expressed by rods (Elachouri et al., 2015; Mei et al., 2016). Since RdCVFL was shown to interact with PKM2 (Fridlich et al., 2009), RdCVFL could reduce the oxidized cysteines of PKM2 and reestablish the glycolytic flux (Camacho et al., 2019). The protection of cones by the two products of the NXNL1 gene is a therapeutic strategy under development for all genetic forms of RP (Clerin et al., 2020).

The Origin of Rod-Derived Cone Viability Factor

The mouse Nxnl1 gene is composed of two coding exons (Figure 1B). Splicing of the unique intron generates a messenger RNA that encodes for the thioredoxin RdCVFL and intron retention, a mRNA encoding for RdCVF. The 109 residues of RdCVF are identical to the N-terminal region of the 217 amino acids long RdCVFL protein, since RdCVF is truncated within the thioredoxin fold. When administrated by gene therapy by an ubiquitous promoter, RdCVFL reduced the retinal concentration of lipid hydroperoxides of a recessive model of RP, the rd10 mouse, but this does not rescue cone function (Byrne et al., 2015). When administrated by gene therapy through a cone-specific promoter, RdCVFL recues cone function, but not RdCVF (Mei et al., 2016). This apparent discrepancy indicates that the target molecules of the thioredoxin RdCVFL are reduced inside the cones. The absence of benefit for cones of RdCVF when it is expressed under the control of a cone-specific promoter is explained by the fact that cones, that make 3% of photoreceptors in the mouse retina, cannot produce a sufficiently high extracellular concentration of RdCVF to activate BSG1/GLUT1. The combination of the non-cell autonomous action of RdCVF and the cell-autonomous action of RdCVFL was modelled as the metabolic and redox signaling in the retina (Leveillard and Sahel, 2016). In an evolutionary perspective, RdCVFL should precede RdCVF, since the latter has a truncated thioredoxin fold that appeared first (Leveillard and Ait-Ali, 2017). Nxnl1 is expressed specifically in the retina, but its paralogue, Nxnl2, is also involved in the protection of the function of olfactory sensitive neurons and pyramidal neurons of the hippocampus (Jaillard et al., 2012; Jaillard et al., 2021). Nxnl2 also encodes for a trophic factor and a thioredoxin-like protein by alternative splicing (Figure 1C).

The Mysterious Role of Rod-Derived Cone Viability Factor in the Eyeless Hydra

We identified by genome mining NXNL genes at the basis of the animal kingdom, in sponge and hydra. In Hydra vulgaris, two tandemly repeated NXNL genes encode for ubiquitously expressed and active RdCVFL thioredoxins that protect the organism against the damages caused by ROS (Ait-Ali et al., 2022). Surprisingly, both NXNLa and NXNLb also encode for truncated thioredoxins, similar to mammalian RdCVF. Hydra Vulgaris has no eye but possesses photosensitive cells located on its tentacles (Passano and McCullough, 1962; Guertin and Kass-Simon, 2015). These photosensitive neurons share with vertebrates the use of the mode of signal transduction of ciliary photoreceptors, as in human (Plachetzki et al., 2012). The most abundant of these truncated proteins, RdCVFa, is expressed specifically by cells of the tentacles suggesting that those cells express a ligand of a cell-surface receptor, what was confirmed by far-western blotting (Figure 2A). The neural-cell-adhesion-molecule-like-1 (NCAM1), the protein in the hydra proteome most closely resembling to BSG1 does not interact with RdCVFa, most probably because its third and N-terminal domain is not homologous to the immunoglobulin domain (Ig) zero of BSG1 that is required for the interaction with RdCVF (Ait-Ali et al., 2015). RdCVFa interacts with a membrane protein of 25 kDa which could consist of an N-terminal Ig0 and a transmembrane domain. The function of this ligand receptor interaction is an open question. Since the interaction of BSG2 with MCT1, and most likely BSG1 with GLUT1, require only the transmembrane domain of BSG1, we can speculate that RdCVFa mediates a metabolic signal. In that respect, Cnidarians, as Hydra vulgaris, invest a large fraction of their energy in the maintenance of their cnidocyst repertoire, which has to be constantly renewed, like the outer segments of photoreceptors (Beckmann and Ozbek, 2012). Contrarily to RdCVFa, RdCVFb does not interact with the 25 kDa receptor and sequence analysis points to a candidate difference (E > K) that would explain this finding. Nevertheless, our analysis cannot discriminate between two scenarios: either a loss of function of RdCVFb or a gain of function of RdCVFa. In the latter one, RdCVFa would be the first functional truncated thioredoxin appearing (terminus ad quem) during evolution. Among the five introns of the NXNLa and NXNLb genes only intron four is retained, producing RdCVF-like proteins. Introns four have no sequence divergences with the non-retained introns so the genetic mechanism used by Hydra vulgaris to produce RdCVF is another yet unresolved mystery. The take home message is that RdCVF signaling predate the appearance of the eye during evolution (Picciani et al., 2021).

FIGURE 2

FIGURE 2. Evolution of the of the nucleoredoxin-like 1 gene. (A) Hydra vulgaris. (B) Patinopecten yessoensis (scallop). DR: distal retina. PR. (C) Branchiostoma lanceolatum (amphioxus). (D) Petromyzon marinus (lamprey). (E) Mus musculus (mouse). HNRNPH2: heterogeneous nuclear ribonucleoprotein H2.

The Role of Rod-Derived Cone Viability Factor for Ciliated Photoreceptors of Scallop

Scallop is a mollusc with up to 200 fully functional eyes. Molluscs, but not Cnidarians, are bilaterians and appeared after Hydra vulgaris during evolution. They belong to the Protostomians that bring together molluscs and arthropods, among which the insects with their rhabdomeric (microvillar) photoreceptors. Those are quite distinct of ciliated photoreceptors, both in terms of morphology and phototransduction. We have reported, as others, that genomes of insects, such as Drosophila melanogaster does not contain any NXNL genes (Chalmel et al., 2007; Funato and Miki, 2007). The unique scallop NXNL gene of Patinopecten yessoensis has three coding exons with intron two retention that produces of a RdCVF protein as in Hydra vulgaris. This RdCVF protein interacts with its cell surface receptor, a neuroplastin-like protein of the scallop (Ait-Ali et al., 2022). The scallop eye also expresses a RdCVFL protein, most likely an active thioredoxin. At this stage of evolution, the metabolic and redox signaling system was certainly operational (Figure 2B). The peculiarity of the scallop eye is the presence of both ciliary and rhabdomeric photoreceptors (Kojima et al., 1997). The ciliary and rhabdomeric photoreceptors are arranged in two separated retinas, a distal and a proximal retina (Palmer et al., 2017). The two products of the NXNL gene are exclusively expressed by the distal retina. This indicates that the gene network that regulates the expression of NXNL is functional only in ciliated photoreceptors that renew their outer segments, contrarily to rhabdomeric photoreceptors. The role of the NXNL gene is specifically linked to the function of ciliary photoreceptors.

The First Occurrence of BSG2, the Chaperon of Lactate Transporter, in Amphioxus

Amphioxus, a model of early vertebrate evolution, possesses two types of photoreceptors aligned along its body axis. Amphioxus has ciliary photoreceptors in the head (frontal eye and lamellar body) and rhabdomeric photoreceptors further downstream of its body axis (Joseph cells and dorsal ocelli have) (Lamb, 2013). We identified four NXNL genes, arbitrarily named NXNLa-NXNLd in the Branchiostoma lanceolatum genome, each with two exons (Ait-Ali et al., 2022). One of them, NXNLa, is expressed in the part of the body containing ciliary photoreceptors, while the three others are expressed at low level in all body parts. The unique intron of NXNLa is partially retained leading to the expression of RdCVFa and RdCVFLa proteins. The RdCVFa receptor, BSG1 is widely distributed in the body parts containing ciliary and rhabdomeric photoreceptors and we assume that RdCVFa binds to BSG1. The gene encoding BSG1 also encodes for BSG2 by alternative splicing, a mRNA that is absent in the scallop eye (Figure 2C). This observation supports that the RdCVF receptor (BSG1) precedes the chaperon of the lactate transporter (BSG2) during evolution, a scenario compatible with our hypothetical model of NXNL1 evolution based on the selection pressure on glucose uptake (Leveillard and Ait-Ali, 2017). We consider here that BSG1 forms a complex with GLUT1, and that RdCVFa increases glucose uptake and aerobic glycolysis, what remains to be demonstrated. BSG2 became an essential element of this metabolic signaling by addressing the lactate transporter MCT1 to the cell membrane (Deora et al., 2005). BSG2 participates to the transport of lactate through the retinal pigment cell, via MCT1 and MCT3 (Vopalensky et al., 2012) (Figure 1A).

The Metabolic and Redox Signaling of the Nucleoredoxin-Like 1 in the Lamprey Retina

Lamprey represents the most ancient group of vertebrates existing for over 360 million years. It is at this point during evolution when rod evolved from cone, even before the emergence of rod outer segment ultrastructure (Morshedian and Fain, 2015). The evolution of a rod with higher sensitivity may have allowed early vertebrates to inhabit deeper waters. But since cones have elevated energy requirement, this event has reduced the energy cost of the retina and permitted cephalization (Feinberg and Mallatt, 2013; Ingram et al., 2020). The unique NXNL gene of the lamprey genome of Petromyzon marinus is an orthologue of vertebrate NXNL1 genes, with an unique intron that is partially retained by rod but not cone photoreceptors (Ait-Ali et al., 2022). Rods produce RdCVF and RdCVFL proteins and cones only RdCVFL, as in the mouse (Mei et al., 2016). This RdCVF protein binds to BSG1 of the lamprey. RdCVF, RdCVFL and BSG1 expression is restricted to the retina, while BSG2 is expressed by the RPE and other tissues (Figure 2D). This timing agrees with the emergence of a metabolic signaling between rods and cones, synchronized to the separation of ancestral cones into rods and cones. So, contrarily to what we could expected, it is not the dominance of rods that outnumber cones in mammalian retina, a results from a nocturnal bottleneck (Borges et al., 2018; Brownstein, 2019) that signs the emergence of rod to cone metabolic interaction since in it is already in place in a species with equivalent number of rods and cones. A competition between rods and cones for a survival signal was proposed by our mathematical modelling of photoreceptor interaction (Camacho et al., 2016). In this model, rods have a metabolic advantage over cones that they compensate by providing a signal that accelerate glucose uptake by cones. Considering the importance of color vision in animal life, natural selection has made rods use of a compensatory mechanism to preserve color vision by feeding cones in an “altruist manner” (Perini et al., 2009; Leveillard et al., 2015). The nature of this hypothetic metabolic advantage is presently unknown, but the metabolic and redox signaling of the NXNL1 gene dates from that time.

The Regulation of Expression of BSG2, the Chaperon of Lactate Transporters, by Mouse Retinal Pigment Epithelium

RdCVF secreted by rods binds to the BSG1/GLUT1 complex and accelerates glucose uptake, but BSG1 is also able to interact with the lactate transporter MCT1 (Ait-Ali et al., 2015). In that configuration, the expression of BSG1 by the RPE could potentially modify the kinetics of glucose transport by GLUT1 on the apical site (toward photoreceptors) of the RPE and, doing so, increase the supply of glucose to the outer retina (Figure 1A). Nevertheless, the direction of glucose transport by the facilitated transporter GLUT1 is governed by the difference of glucose concentration between the cytosol of the RPE and the extracellular space of photoreceptors. Glucose is transported from the choroid through the RPE to photoreceptors for their metabolic needs. GLUT1 in the apical side of the RPE has an inverted polarity of glucose transport as compared to photoreceptors, including cones, in this ecosystem (Kanow et al., 2017). We studied the splicing of the Bsg gene in the retina and the RPE and concluded that the expression of BSG1 is repressed in the RPE (Ait-Ali et al., 2022). Out of two transgenic mice constructed to inactivate specifically the expression of BSG1, one of them leads accidentally to the expression of BSG1 messenger RNA by the RPE. Since this mRNA contains an in-frame stop codon, BSG1 protein is not expressed leading to photoreceptors loss of function similar to what was observed for the Bsg^−/− mouse (Philp et al., 2003). GLUT1 does not require the chaperone activity of BSG2, so that the retinal phenotype results from a deficit in lactate transport.

A bioinformatic analysis indicates that the stop codon introduced in the Bsg locus leads to the loss of RNA binding elements of several splicing factors. The comparison of the expression of these splicing factors by the RPE and the outer retina indicates that HNRNPH2 is the splicing inhibitor that represses, in the RPE, the insertion of the exon encoding Ig0 of BSG1 (Figure 2E). We do not know if this splicing inhibition is also taking place in the RPE of the lamprey. As stated above, during evolution BSG1 preceded BSG2. The primary function of BSG1 is that of receptor of RdCVF and probably a allosteric activator of glucose uptake via a facilitated glucose transporter, an orthologous of GLUT1 (Brooks and Storey, 1997). Considering the direction of the metabolic flux in aerobic glycolysis (Figure 1A), the transport of glucose is upstream of that of lactate. In a very simplified picture, the positive effect of RdCVF on glucose uptake via BSG1 precedes the effect of BSG2 on lactate transport. GLUT1 and MCT1 belong the solute carrier family and share 17% identity in human proteome. It is conceivable the gene encoding originally for the RdCVF receptor became recruited to encode by alternative splicing for the chaperon of the lactate transporters. This is speculative but the double function of the basigin in regard to RdCVF metabolic signaling is troubling (Klipfel et al., 2021).

The Metabolic and Redox Signaling of a Nucleoredoxin-Like Gene Outside the Eye

In the retina, we have shown that NXNL2, the paralogue of NXNL1, also encodes for a trophic factor, RdCVF2, and a thioredoxin-like protein, RdCVF2L (Chalmel et al., 2007; Jaillard et al., 2012). In addition, the products of the Nxnl2 gene of the mouse are expressed by olfactory sensitive neurons and by a subset of cells of the area postrema (Jaillard et al., 2012; Jaillard et al., 2021). In the mouse, the inactivation of the Nxnl2 gene results in a complex syndrome with deficits in anxiety, pain sensitivity, coordination and memory. By its juxtaposition the fourth ventricle, a signal generated in the area postrema could theoretically circulate in the cerebrospinal fluid to reach neurons in other brain areas, such as the hippocampus (Figure 3). The duplication of the NXNL1 gene in the descent of the lamprey gave rise to two orthologous genes, NXNL1 and NXNL2, in most fish genomes (Chalmel et al., 2007; Ait-Ali et al., 2022). NXNL1 and NXNL2 are expressed by rods of the zebrafish retina (Sun et al., 2018). Zebrafish NXNL2 is also expressed by the olfactory placode that gives rise to the olfactory epithelium in the adult fish (https://zfin.org/), as what we reported for the mouse (Jaillard et al., 2012). Vision and olfaction are senses that permitted for the first time the emergence of complex behaviors during animal evolution (Feinberg and Mallatt, 2016). Later, interneurons added complexity to the nervous system by increasing the information processing centers to produce a cognitive map of the environment. Since the brain require high level of glucose, it is not surprising that the allosteric activation of glucose uptake by RdCVF in the retina was used, via the RdCVF2 protein, for olfaction and memory since innovation during evolution relies most of the time on preexisting functional units (Jacob, 1977). In the brain, the reduction of glucose metabolism, due to the lack of RdCVF2, would lead to a reduction of the redox power of the enzyme RdCVF2L (Leveillard and Sahel, 2017). In agreement with the model of metabolic and redox signaling, we found aggregated TAU protein, that is induced by oxidation while aging (Fridlich et al., 2009), in the brain of aged Nxnl2^−/− mice (Jaillard et al., 2021). TAU aggregation is a penultimate step in the formation of neurofibrillary tangles found in the brain of patients suffering of Alzheimer’s disease.

FIGURE 3

FIGURE 3. Metabolic and redox signaling of the nucleoredoxin-like two gene in the brain. Cells of the area postrema expressing the Nxnl2 gene secret RdCVF2 that binds to its cell surface receptor on hippocampal neurons.

Limitations and Future Directions

Our analysis of the emergence of RdCVF signaling stands on common ancestry and of descent with modifications, the foundation of evolutionary theory and also on punctuated equilibrium, a model of evolution with extended periods of evolutionary stasis are punctuated by rapid transitions between states (Bakhtin et al., 2021; Hancock et al., 2021). But since past evolution cannot be experimentally reproduced (Kawecki et al., 2012), our interpretation is of course based on a scenario that optimally fits with our observations.

We plan to identify the cell surface receptor of RdCVFa in Hydra vulgaris, a necessary step in the understanding of the original role of this signaling prior to the appearance of the eye during evolution. We will also search for molecular clues that can validate the hypothetic metabolic advantage of rods over cones in the vertebrate retina.

Conclusion

Our phylogenetic analysis of the NXNL genes demonstrates that the function of the truncated thioredoxin-like protein RdCVF, whatever strange this protein is for structural biology, was conserved and recruited during evolution to function in other intercellular communications outside the eye (Table 1). We believe the reason behind this evolutionary success is the capacity of RdCVF to accelerate glucose uptake allosterically.

TABLE 1

TABLE 1. Summary table.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author Contributions

TL wrote the manuscript. NA-A contributed to the article and approved the submitted version.

Funding

INSERM and Sorbonne Université.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Agarwal, N., and Carare, R. O. (2020). Cerebral Vessels: An Overview of Anatomy, Physiology, and Role in the Drainage of Fluids and Solutes. Front. Neurol. 11, 611485. doi:10.3389/fneur.2020.611485

PubMed Abstract | CrossRef Full Text | Google Scholar

Ait-Ali, N., Fridlich, R., Millet-Puel, G., Clérin, E., Delalande, F., Jaillard, C., et al. (2015). Rod-derived Cone Viability Factor Promotes Cone Survival by Stimulating Aerobic Glycolysis. Cell 161, 817–832. doi:10.1016/j.cell.2015.03.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Ait-Ali, N., Blond, F., Clerin, E., Morshedian, A., Cesar, Q., Delalande, F., et al. (2022). The Emergence of the Metabolic Signaling of the Nucleoredoxin-like Genes during Evolution. bioRxiv. doi:10.1101/2022.01.06.475223

CrossRef Full Text | Google Scholar

Anastasiou, D., Poulogiannis, G., Asara, J. M., Boxer, M. B., Jiang, J.-k., Shen, M., et al. (2011). Inhibition of Pyruvate Kinase M2 by Reactive Oxygen Species Contributes to Cellular Antioxidant Responses. Science 334, 1278–1283. doi:10.1126/science.1211485

PubMed Abstract | CrossRef Full Text | Google Scholar

Bakhtin, Y., Katsnelson, M. I., Wolf, Y. I., and Koonin, E. V. (2021). Evolution in the Weak-Mutation Limit: Stasis Periods Punctuated by Fast Transitions between Saddle Points on the Fitness Landscape. Proc. Natl. Acad. Sci. U. S. A. 118, e2015665118. doi:10.1073/pnas.2015665118

PubMed Abstract | CrossRef Full Text | Google Scholar

Bauernfeind, A. L., and Babbitt, C. C. (2014). The Appropriation of Glucose through Primate Neurodevelopment. J. Hum. Evol. 77, 132–140. doi:10.1016/j.jhevol.2014.05.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Bauernfeind, A. L., and Babbitt, C. C. (2020). Metabolic Changes in Human Brain Evolution. Evol. Anthropol. 29, 201–211. doi:10.1002/evan.21831

PubMed Abstract | CrossRef Full Text | Google Scholar

Bauernfeind, A. L., Barks, S. K., Duka, T., Grossman, L. I., Hof, P. R., and Sherwood, C. C. (2014). Aerobic Glycolysis in the Primate Brain: Reconsidering the Implications for Growth and Maintenance. Brain Struct. Funct. 219, 1149–1167. doi:10.1007/s00429-013-0662-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Beckmann, A., and Özbek, S. (2012). The Nematocyst: A Molecular Map of the Cnidarian Stinging Organelle. Int. J. Dev. Biol. 56, 577–582. doi:10.1387/ijdb.113472ab

PubMed Abstract | CrossRef Full Text | Google Scholar

Borges, R., Johnson, W. E., O’Brien, S. J., Gomes, C., Heesy, C. P., and Antunes, A. (2018). Adaptive Genomic Evolution of Opsins Reveals that Early Mammals Flourished in Nocturnal Environments. BMC Genomics 19, 121. doi:10.1186/s12864-017-4417-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Brooks, S. P. J., and Storey, K. B. (1997). Glycolytic Controls in Estivation and Anoxia: A Comparison of Metabolic Arrest in Land and Marine Molluscs. Comp. Biochem. Physiol. Part A Physiol. 118, 1103–1114. doi:10.1016/s0300-9629(97)00237-5

CrossRef Full Text | Google Scholar

Brownstein, C. D. (2019). The Rise and Fall of the Dinosaurs: A New History of a Lost World. Oxford University Press. Oxford, United Kingdom.

Google Scholar

Byrne, L. C., Dalkara, D., Luna, G., Fisher, S. K., Clérin, E., Sahel, J.-A., et al. (2015). Viral-mediated RdCVF and RdCVFL Expression Protects Cone and Rod Photoreceptors in Retinal Degeneration. J. Clin. Invest.. 125, 105–116. doi:10.1172/jci65654

PubMed Abstract | CrossRef Full Text | Google Scholar

Camacho, E. T., Léveillard, T., Sahel, J.-A., and Wirkus, S. (2016). Mathematical Model of the Role of RdCVF in the Coexistence of Rods and Cones in a Healthy Eye. Bull. Math. Biol. 78, 1394–1409. doi:10.1007/s11538-016-0185-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Camacho, E. T., Brager, D., Elachouri, G., Korneyeva, T., Millet-Puel, G., Sahel, J.-A., et al. (2019). A Mathematical Analysis of Aerobic Glycolysis Triggered by Glucose Uptake in Cones. Sci. Rep. 9, 4162. doi:10.1038/s41598-019-39901-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Chalmel, F., Léveillard, T., Jaillard, C., Lardenois, A., Berdugo, N., Morel, E., et al. (2007). Rod-derived Cone Viability Factor-2 Is a Novel Bifunctional-thioredoxin-like Protein with Therapeutic Potential. BMC Mol. Biol. 8, 74. doi:10.1186/1471-2199-8-74

PubMed Abstract | CrossRef Full Text | Google Scholar

Clérin, E., Marussig, M., Sahel, J. A., and Léveillard, T. (2020). Metabolic and Redox Signaling of the Nucleoredoxin-Like-1 Gene for the Treatment of Genetic Retinal Diseases. Int. J. Mol. Sci. 21, 1625. doi:10.3390/ijms21051625

CrossRef Full Text | Google Scholar

Deora, A. A., Philp, N., Hu, J., Bok, D., and Rodriguez-Boulan, E. (2005). Mechanisms Regulating Tissue-specific Polarity of Monocarboxylate Transporters and Their Chaperone CD147 in Kidney and Retinal Epithelia. Proc. Natl. Acad. Sci. U.S.A. 102, 16245–16250. doi:10.1073/pnas.0504419102

PubMed Abstract | CrossRef Full Text | Google Scholar

Dryja, T. P., Mcgee, T. L., Hahn, L. B., Cowley, G. S., Olsson, J. E., Reichel, E., et al. (1990). Mutations within the Rhodopsin Gene in Patients with Autosomal Dominant Retinitis Pigmentosa. N. Engl. J. Med. 323, 1302–1307. doi:10.1056/nejm199011083231903

PubMed Abstract | CrossRef Full Text | Google Scholar

Elachouri, G., Lee-Rivera, I., Clérin, E., Argentini, M., Fridlich, R., Blond, F., et al. (2015). Thioredoxin Rod-Derived Cone Viability Factor Protects against Photooxidative Retinal Damage. Free Radic. Biol. Med. 81, 22–29. doi:10.1016/j.freeradbiomed.2015.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Feinberg, T. E., and Mallatt, J. (2013). The Evolutionary and Genetic Origins of Consciousness in the Cambrian Period over 500 Million Years Ago. Front. Psychol. 4, 667. doi:10.3389/fpsyg.2013.00667

PubMed Abstract | CrossRef Full Text | Google Scholar

Feinberg, T. E., and Mallatt, J. M. (2016). The Ancient Origins of Consciousness: How the Brain Created Experience. MIT Press. Cambridge, Massachusetts, United States.

Google Scholar

Ferrari, S., Di Iorio, E., Barbaro, V., Ponzin, D., Sorrentino, F. S., and Parmeggiani, F. (2011). Retinitis Pigmentosa: Genes and Disease Mechanisms. Curr. Genomics 12, 238–249. doi:10.2174/138920211795860107

PubMed Abstract | CrossRef Full Text | Google Scholar

Fridlich, R., Delalande, F., Jaillard, C., Lu, J., Poidevin, L., Cronin, T., et al. (2009). The Thioredoxin-like Protein Rod-Derived Cone Viability Factor (RdCVFL) Interacts with TAU and Inhibits its Phosphorylation in the Retina. Mol. Cell. Proteomics 8, 1206–1218. doi:10.1074/mcp.m800406-mcp200

PubMed Abstract | CrossRef Full Text | Google Scholar

Funato, Y., and Miki, H. (2007). Nucleoredoxin, a Novel Thioredoxin Family Member Involved in Cell Growth and Differentiation. Antioxidants Redox Signal. 9, 1035–1058. doi:10.1089/ars.2007.1550

CrossRef Full Text | Google Scholar

Guertin, S., and Kass-Simon, G. (2015). Extraocular Spectral Photosensitivity in the Tentacles of Hydra vulgaris. Comp. Biochem. Physiol. Part A Mol. Integr. Physiol. 184, 163–170. doi:10.1016/j.cbpa.2015.02.016

CrossRef Full Text | Google Scholar

Hancock, Z. B., Lehmberg, E. S., and Bradburd, G. S. (2021). Neo-darwinism Still Haunts Evolutionary Theory: A Modern Perspective on Charlesworth, Lande, and Slatkin (1982). Evolution 75, 1244–1255. doi:10.1111/evo.14268

PubMed Abstract | CrossRef Full Text | Google Scholar

Hayes, M. J., Tracey-White, D., Kam, J. H., Powner, M. B., and Jeffery, G. (2021). The 3D Organisation of Mitochondria in Primate Photoreceptors. Sci. Rep. 11, 18863. doi:10.1038/s41598-021-98409-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Ingram, N. T., Fain, G. L., and Sampath, A. P. (2020). Elevated Energy Requirement of Cone Photoreceptors. Proc. Natl. Acad. Sci. U.S.A. 117, 19599–19603. doi:10.1073/pnas.2001776117

PubMed Abstract | CrossRef Full Text | Google Scholar

Jacob, F. (1977). Evolution and Tinkering. Science 196, 1161–1166. doi:10.1126/science.860134

PubMed Abstract | CrossRef Full Text | Google Scholar

Jaillard, C., Mouret, A., Niepon, M.-L., Clérin, E., Yang, Y., Lee-Rivera, I., et al. (2012). Nxnl2 Splicing Results in Dual Functions in Neuronal Cell Survival and Maintenance of Cell Integrity. Hum. Mol. Genet. 21, 2298–2311. doi:10.1093/hmg/dds050

PubMed Abstract | CrossRef Full Text | Google Scholar

Jaillard, C., Ouechtati, F., Clérin, E., Millet-Puel, G., Corsi, M., Aït-Ali, N., et al. (2021). The Metabolic Signaling of the Nucleoredoxin-like 2 Gene Supports Brain Function. Redox Biol. 48, 102198. doi:10.1016/j.redox.2021.102198

PubMed Abstract | CrossRef Full Text | Google Scholar

Kanow, M. A., Giarmarco, M. M., Jankowski, C. S., Tsantilas, K., Engel, A. L., Du, J., et al. (2017). Biochemical Adaptations of the Retina and Retinal Pigment Epithelium Support a Metabolic Ecosystem in the Vertebrate Eye. Elife 6, e28899. doi:10.7554/eLife.28899

PubMed Abstract | CrossRef Full Text | Google Scholar

Kawecki, T. J., Lenski, R. E., Ebert, D., Hollis, B., Olivieri, I., and Whitlock, M. C. (2012). Experimental Evolution. Trends Ecol. Evol. 27, 547–560. doi:10.1016/j.tree.2012.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Klipfel, L., Cordonnier, M., Thiebault, L., Clerin, E., Blond, F., Millet-Puel, G., et al. (2021). A Splice Variant in SLC16A8 Gene Leads to Lactate Transport Deficit in Human iPS Cell-Derived Retinal Pigment Epithelial Cells. Cells 10, 179. doi:10.3390/cells10010179

PubMed Abstract | CrossRef Full Text | Google Scholar

Kojima, D., Terakita, A., Ishikawa, T., Tsukahara, Y., Maeda, A., and Shichida, Y. (1997). A Novel Go-Mediated Phototransduction Cascade in Scallop Visual Cells. J. Biol. Chem. 272, 22979–22982. doi:10.1074/jbc.272.37.22979

PubMed Abstract | CrossRef Full Text | Google Scholar

Komeima, K., Rogers, B. S., Lu, L., and Campochiaro, P. A. (2006). Antioxidants Reduce Cone Cell Death in a Model of Retinitis Pigmentosa. Proc. Natl. Acad. Sci. U.S.A. 103, 11300–11305. doi:10.1073/pnas.0604056103

PubMed Abstract | CrossRef Full Text | Google Scholar

Lamb, T. D. (2013). Evolution of Phototransduction, Vertebrate Photoreceptors and Retina. Prog. Retin. Eye Res. 36, 52–119. doi:10.1016/j.preteyeres.2013.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Lameka, K., Farwell, M. D., and Ichise, M. (2016). Positron Emission Tomography. Handb. Clin. Neurol. 135, 209–227. doi:10.1016/b978-0-444-53485-9.00011-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Lecrux, C., Bourourou, M., and Hamel, E. (2019). How Reliable Is Cerebral Blood Flow to Map Changes in Neuronal Activity? Aut. Neurosci. 217, 71–79. doi:10.1016/j.autneu.2019.01.005

CrossRef Full Text | Google Scholar

Leveillard, T., and Ait-Ali, N. (2017). Cell Signaling with Extracellular Thioredoxin and Thioredoxin-like Proteins: Insight into Their Mechanisms of Action. Oxid. Med. Cell Longev. 2017, 8475125. doi:10.1155/2017/8475125

PubMed Abstract | CrossRef Full Text | Google Scholar

Léveillard, T., and Sahel, J. A. (2010). Rod-derived Cone Viability Factor for Treating Blinding Diseases: from Clinic to Redox Signaling. Sci. Transl. Med. 2, 26ps16. doi:10.1126/scitranslmed.3000866

PubMed Abstract | CrossRef Full Text | Google Scholar

Leveillard, T., and Sahel, J. A. (2016). Metabolic and Redox Signaling in the Retina. Cell Mol. Life Sci. 74, 3649. doi:10.1007/s00018-016-2318-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Léveillard, T., and Sahel, J.-A. (2017). Metabolic and Redox Signaling in the Retina. Cell. Mol. Life Sci. 74, 3649–3665. doi:10.1007/s00018-016-2318-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Léveillard, T., Mohand-Saïd, S., Lorentz, O., Hicks, D., Fintz, A.-C., Clérin, E., et al. (2004). Identification and Characterization of Rod-Derived Cone Viability Factor. Nat. Genet. 36, 755–759. doi:10.1038/ng1386

PubMed Abstract | CrossRef Full Text | Google Scholar

Léveillard, T., Van Dorsselaer, A., and Sahel, J.-A. (2015). Altruism in the Retina: Sticks Feed Cones. Med. Sci. Paris. 31, 828–830. doi:10.1051/medsci/20153110005

PubMed Abstract | CrossRef Full Text | Google Scholar

Léveillard, T., Philp, N. J., and Sennlaub, F. (2019). Is Retinal Metabolic Dysfunction at the Center of the Pathogenesis of Age-Related Macular Degeneration? Int. J. Mol. Sci. 20. 762, doi:10.3390/ijms20030762

CrossRef Full Text | Google Scholar

Léveillard, T. (2015). Cancer Metabolism of Cone Photoreceptors. Oncotarget 6, 32285–32286. doi:10.18632/oncotarget.5963

PubMed Abstract | CrossRef Full Text | Google Scholar

Mei, X., Chaffiol, A., Kole, C., Yang, Y., Millet-Puel, G., Clérin, E., et al. (2016). The Thioredoxin Encoded by the Rod-Derived Cone Viability Factor Gene Protects Cone Photoreceptors against Oxidative Stress. Antioxidants Redox Signal. 24, 909–923. doi:10.1089/ars.2015.6509

CrossRef Full Text | Google Scholar

Mergenthaler, P., Lindauer, U., Dienel, G. A., and Meisel, A. (2013). Sugar for the Brain: The Role of Glucose in Physiological and Pathological Brain Function. Trends Neurosci. 36, 587–597. doi:10.1016/j.tins.2013.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Morshedian, A., and Fain, G. L. (2015). Single-photon Sensitivity of Lamprey Rods with Cone-like Outer Segments. Curr. Biol. 25, 484–487. doi:10.1016/j.cub.2014.12.031

PubMed Abstract | CrossRef Full Text | Google Scholar

Muzi, M., Freeman, S. D., Burrows, R. C., Wiseman, R. W., Link, J. M., Krohn, K. A., et al. (2001). Kinetic Characterization of Hexokinase Isoenzymes from Glioma Cells: Implications for FDG Imaging of Human Brain Tumors. Nucl. Med. Biol. 28, 107–116. doi:10.1016/s0969-8051(00)00201-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Palmer, B. A., Taylor, G. J., Brumfeld, V., Gur, D., Shemesh, M., Elad, N., et al. (2017). The Image-Forming Mirror in the Eye of the Scallop. Science 358, 1172–1175. doi:10.1126/science.aam9506

PubMed Abstract | CrossRef Full Text | Google Scholar

Passano, L. M., and McCullough, C. B. (1962). The Light Response and the Rhythmic Potentials of Hydra. Proc. Natl. Acad. Sci. U.S.A. 48, 1376–1382. doi:10.1073/pnas.48.8.1376

PubMed Abstract | CrossRef Full Text | Google Scholar

Perini, E. S., Pessoa, V. F., and Pessoa, D. M. (2009). Detection of Fruit by the Cerrado's Marmoset (Callithrix penicillata): Modeling Color Signals for Different Background Scenarios and Ambient Light Intensities. J. Exp. Zool. A Ecol. Genet. Physiol. 311A, 289–302. doi:10.1002/jez.531

CrossRef Full Text | Google Scholar

Philp, N. J., Ochrietor, J. D., Rudoy, C., Muramatsu, T., and Linser, P. J. (2003). Loss of MCT1, MCT3, and MCT4 Expression in the Retinal Pigment Epithelium and Neural Retina of the 5A11/basigin-Null Mouse. Invest.. Ophthalmol. Vis. Sci. 44, 1305–1311. doi:10.1167/iovs.02-0552

PubMed Abstract | CrossRef Full Text | Google Scholar

Picciani, N., Kerlin, J. R., Jindrich, K., Hensley, N. M., Gold, D. A., and Oakley, T. H. (2021). Light Modulated Cnidocyte Discharge Predates the Origins of Eyes in Cnidaria. Ecol. Evol. 11, 3933–3940. doi:10.1002/ece3.7280

PubMed Abstract | CrossRef Full Text | Google Scholar

Plachetzki, D. C., Fong, C. R., and Oakley, T. H. (2012). Cnidocyte Discharge Is Regulated by Light and Opsin-Mediated Phototransduction. BMC Biol. 10, 17. doi:10.1186/1741-7007-10-17

PubMed Abstract | CrossRef Full Text | Google Scholar

Reisz, J. A., Wither, M. J., Dzieciatkowska, M., Nemkov, T., Issaian, A., Yoshida, T., et al. (2016). Oxidative Modifications of Glyceraldehyde 3-phosphate Dehydrogenase Regulate Metabolic Reprogramming of Stored Red Blood Cells. Blood 128, e32–e42. doi:10.1182/blood-2016-05-714816

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, C., Galicia, C., and Stenkamp, D. L. (2018). Transcripts within Rod Photoreceptors of the Zebrafish Retina. BMC Genomics 19, 127. doi:10.1186/s12864-018-4499-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Vaishnavi, S. N., Vlassenko, A. G., Rundle, M. M., Snyder, A. Z., Mintun, M. A., and Raichle, M. E. (2010). Regional Aerobic Glycolysis in the Human Brain. Proc. Natl. Acad. Sci. U.S.A. 107, 17757–17762. doi:10.1073/pnas.1010459107

PubMed Abstract | CrossRef Full Text | Google Scholar

Vander Heiden, M. G., Cantley, L. C., and Thompson, C. B. (2009). Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation. Science 324, 1029–1033. doi:10.1126/science.1160809

PubMed Abstract | CrossRef Full Text | Google Scholar

Verbakel, S. K., Van Huet, R. A. C., Boon, C. J. F., Den Hollander, A. I., Collin, R. W. J., Klaver, C. C. W., et al. (2018). Non-syndromic Retinitis Pigmentosa. Prog. Retin. Eye Res. 66, 157–186. doi:10.1016/j.preteyeres.2018.03.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Vopalensky, P., Pergner, J., Liegertova, M., Benito-Gutierrez, E., Arendt, D., and Kozmik, Z. (2012). Molecular Analysis of the Amphioxus Frontal Eye Unravels the Evolutionary Origin of the Retina and Pigment Cells of the Vertebrate Eye. Proc. Natl. Acad. Sci. U.S.A. 109, 15383–15388. doi:10.1073/pnas.1207580109

PubMed Abstract | CrossRef Full Text | Google Scholar