SLC3A2 N-glycosylation and alternate evolutionary trajectories for amino acid metabolism

Zhang, C.; Shafaq-Zadah, M.; Pawling, J.; Hesketh, G. G.; Ng, D.; Dransart, E.; Pacholczyk, K.; Longo, J.; Gingras, A.-C.; Penn, L. Z.; Johannes, L.; Dennis, J. W.

doi:10.1101/2022.11.15.516651

bioRxiv · 10.1101/2022.11.15.516651

SLC3A2 N-glycosylation and alternate evolutionary trajectories for amino acid metabolism

Zhang, C.·Shafaq-Zadah, M.·Pawling, J.·Hesketh, G. G.·Ng, D.·Dransart, E.·Pacholczyk, K.·Longo, J.·Gingras, A.-C.·Penn, L. Z.·Johannes, L.·Dennis, J. W.

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Abstract

SLC3A2 (4F2hc, CD98) is an adaptor to the SLC7A exchangers and has undergone extensive repositioning of N-glycosylation sites with vertebrate evolution, presumably in synchrony with the species-specific demands of metabolism. The SLC3A2*SLC7A5 heterodimer imports essential amino acids (AA) and thereby stimulates mTOR signaling, while SLC3A2*SLC7A11 imports cystine required for glutathione synthesis and mitigation of oxidative stress. Analysis of SLC3A2 N-glycans revealed stable site-specific profiles of Golgi remodeling, apart from the conserved N365 site where branching and poly-N-acetylglucosamine content were sensitive to the insertion of lost ancestral sites and to metabolism. N-glycans at N381 and N365 stabilized SLC3A2 in the galectin lattice and opposed endocytosis, while N365 which is nearest the membrane, also promoted down-regulation by galectin-driven clathrin-independent endocytosis (glycolipid-lectin GL-Lect). This is the first report of both positive and negative regulation by galectin binding to N-glycans that are strategically positioned in the same membrane glycoproteins. Proteomics analysis in SLC3A2 mutant HeLa cells with induced re-expression of SLC3A2 as bait revealed the canonical non-N-glycosylated interactors, SLC7A5 and SLC7A11 exchangers, but also AA transporters that were dependent on SLC3A2 N-glycosylation, and are themselves, N-glycosylated AA/Na+ symporters (SLC7A1, SLC38A1, SLC38A2, SLC1A4, SLC1A5). The results suggest that the N-glycans on SLC3A2 regulate clustering of SLC7A exchangers with AA/Na+ symporters, thereby promoting Gln/Glu export-driven import of essential AA and cystine, with the potential to adversely impact redox balance. The evolution of modern birds (Neoaves) led to improved control of bioenergetics with the loss of genes including SLC3A2, SLC7A-5, -7, -8, -10, BCAT2, KEAP1, as well as duplications of SLC7A9, SLC7A11 and the Golgi branching enzymes MGAT4B and MGAT4C known to enhance affinities for galectins. Analyzing the fate of these and other genes in the down-sized genomes of birds, spanning [~]10,000 species and >100 Myr of evolution, may reveal the mystery of their longevity with prolonged vitality. Key PointsO_LIGolgi N-glycan remodeling at each site on SLC3A2 differs with the microenvironment. C_LIO_LIThe galectin lattice and GL-Lect mediated endocytosis act as opposing forces on trafficking, controlled by N-glycans at the distal N381 and membrane proximal N365 sites, respectively. C_LIO_LIMutation at N381 or N365 decreased SLC3A2 association with SLC7A5, SLC7A11 and N-glycosylated AA/Na+ symporters as well as the capacity to mitigate stress. C_LIO_LIClustering of SLC3A2*SLC7A exchangers, with AA/Na+ symporter and ATPase Na+/K+ exchanger promotes growth but continuously consumes ATP in non-proliferating cells. C_LIO_LIBird evolution has improved bioenergetics with the deletion of SLC3A2 and associated transporters; - replaced by transporters of keto acids and a re-enforced galectin lattice. C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=73 SRC="FIGDIR/small/516651v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@1cb7958org.highwire.dtl.DTLVardef@18ba32dorg.highwire.dtl.DTLVardef@861269org.highwire.dtl.DTLVardef@22df0e_HPS_FORMAT_FIGEXP M_FIG C_FIG

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Zhang, C., Shafaq-Zadah, M., Pawling, J., Hesketh, G. G., Ng, D., Dransart, E., Pacholczyk, K., Longo, J., Gingras, A.-C., Penn, L. Z., Johannes, L., Dennis, J. W.. 2022-11-16. SLC3A2 N-glycosylation and alternate evolutionary trajectories for amino acid metabolism. https://doi.org/10.1101/2022.11.15.516651

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