Crystal structure of LGR ligand α2/β5 from Caenorhabditis elegans with implications for the evolution of glycoprotein hormones

Pleiotropic signaling of single-chain thyrostimulin (GPB5-GPA2) on homologous glycoprotein hormone receptors (ScFSHR, ScLHR, ScTSHR) in the elasmobranch Scyliorhinus canicula reproduction

The pituitary glycoprotein hormones (GPHs) control several physiological processes in vertebrates such as reproduction and metabolism. They include the luteinizing hormone (LH), the follicle-stimulating hormone (FSH), and the thyroid-stimulating hormone (TSH), which activate their cognate leucine-rich repeat G protein-coupled receptors (LGRs), LHR, FSHR, and TSHR. Each GPH consists of a common α subunit and a specific βFSH, βLH or βTSH subunit. More recently, two supplementary GPH proteins, GPA and GPB, were identified in nearly all bilaterians and are the ancestors of the pituitary GPH α- and β-subunits, respectively. Chondrichthyans (holocephalans and elasmobranchs), the sister group of bony vertebrates, are the most ancient clade to possess diversified GPH subunits. In the present study, GPA2, GPB5, TSHβ2, but not TSHβ1, and TSHR sequences have been identified in several elasmobranch genomes, and their 3D models were analyzed. Functional hormone-receptor interactions were studied in the small-spotted catshark (Scyliorhinus canicula) and showed that conditioned media from cells expressing the recombinant single-chain ScGPB5-ScGPA2 were more effective than independent subunits in activating ScTSHR, ScFSHR, and ScLHR. Expression profiles were analyzed by real-time PCR, in situ hybridization, and immunohistochemistry along the male genital tract, other male and female tissues, and female tissues. A broader tissue distribution expression was observed for tshr and gpa2 than for gpb5, which was mainly observed in the testes. In testis, expression of tshr and gpb5 by Sertoli cells and of gpa2 by germ cells suggested paracrine/autocrine functions of GPA2/GPB5/GPHR signaling during spermatogenesis. This study complements the data on GPA2 and GPB5 by studying a chondrichthyan of phylogenetic interest for understanding the evolution of endocrine regulation in vertebrates.

Structural and evolutionary insights into the functioning of glycoprotein hormones and their receptors

The neuroendocrine system that comprises the glycoprotein hormones (GpHs) and their receptors is essential for reproduction and metabolism. Each GpH hormone is an αβ heterodimer of cystine-knot proteins and its cognate receptor is a G-protein coupled receptor (GPCR) distinguished by a large leucine-rich-repeat (LRR) extracellular domain that binds the hormone and a class A GPCR transmembrane domain that signals through an associating heterotrimeric G protein. Hence, the receptors are called LRR-containing GPCRs-LGRs. The vertebrate GpHs and LGRs have co-evolved from homologs in the earliest metazoan animals, including sponges and comb jellies, but these are absent from unicellular organisms and plants. The two GpH subunits and accompanying LGR receptor of the nematode Caenorhabditis elegans are representative of the invertebrate evolutionary predecessors of human GpH proteins and their receptors, for example follicle-stimulating hormone (FSH) and the FSH receptor (FSHR). Atomic structures of the human GpHs and their receptors, which have been determined by X-ray crystallography and cryogenic electron microscopy (cryo-EM), inform the evolutionary process and provide a mechanistic understanding of the transmission of biochemical signals of hormone binding at the cell surface to the elicitation of second messengers such as cyclic AMP in the cytoplasm. There is compelling biochemical and cellular evidence for the importance of receptor dimers in GpH signaling in cells; yet, all of the human receptors are monomeric as defined beautifully by cryo-EM. Fortunately, the LGR of C. elegans is a stable dimer and its structure, when analyzed in the context of structural information from the human counterparts, predicts a hypothetical model for functionally relevant dimeric associations of the human GpH receptors.

Structure of an LGR dimer - an evolutionary predecessor of glycoprotein hormone receptors

The glycoprotein hormones of humans, produced in the pituitary and acting through receptors in the gonads to support reproduction and in the thyroid gland for metabolism, have co-evolved from invertebrate counterparts1,2. These hormones are heterodimeric cystine-knot proteins; and their receptors bind the cognate hormone at an extracellular domain and transmit the signal of this binding through a transmembrane domain that interacts with a heterotrimeric G protein. Structures determined for the human receptors as isolated for cryogenic electron microscopy (cryo-EM) are all monomeric3-6 despite compelling evidence for their functioning as dimers7-10. Here we describe the cryo-EM structure of the homologous receptor from a neuroendocrine pathway that promotes growth in a nematode11. This structure is an asymmetric dimer that can be activated by the hormone from that worm12, and it shares features especially like those of the thyroid stimulating hormone receptor (TSHR). When studied in the context of the human homologs, this dimer provides a structural explanation for the transactivation evident from functional complementation of binding-deficient and signaling-deficient receptors7, for the negative cooperativity in hormone action that is manifest in the 1:2 asymmetry of primary TSH:TSHR complexes8,9, and for switches in G-protein usage that occur as 2:2 complexes form9,10.

AlphaFold-guided molecular replacement for solving challenging crystal structures

Molecular replacement (MR) is highly effective for biomolecular crystal structure determination, increasingly so as the database of known structures has increased. For candidates without recognizable similarity to known structures, however, crystal structure analyses have nearly always required experiments for de novo phase evaluation. Now, with the unprecedented accuracy of AlphaFold predictions of protein structures from amino-acid sequences, an appreciable expansion of the reach of MR for proteins is realized. Here, we sought to automate an AlphaFold-guided MR procedure that tailors predictions to the MR problem at hand. We first optimized the reliability cutoff parameters for residue inclusion as tested in application to a previously MR-intractable problem. We then examined cases where AlphaFold by default predicts a conformation alternative to that of the candidate structure, devising tests for MR solution either from domain-specific predictions or from predictions based on diverse sequence subclusters. We tested subclustering procedures on an enzyme system that entails multiple MR-challenging conformations. The overall process as implemented in Phenix automatically surveys a succession of trials of increasing computational complexity until an MR solution is found or the options are exhausted. Validated MR solutions were found for 92% of one set of 158 challenging problems from the PDB and 93% of those from a second set of 215 challenges. Thus, many crystal structure analyses that previously required experimental phase evaluation can now be solved by AlphaFold-guided MR. In effect, this and related MR approaches are de novo phasing methods.

Evolutionary conserved peptide and glycoprotein hormone-like neuroendocrine systems in C. elegans

Peptides and protein hormones form the largest group of secreted signals that mediate intercellular communication and are central regulators of physiology and behavior in all animals. Phylogenetic analyses and biochemical identifications of peptide-receptor systems reveal a broad evolutionary conservation of these signaling systems at the molecular level. Substantial progress has been made in recent years on characterizing the physiological and putative ancestral roles of many peptide systems through comparative studies in invertebrate models. Several peptides and protein hormones are not only molecularly conserved but also have conserved roles across animal phyla. Here, we focus on functional insights gained in the nematode Caenorhabditis elegans that, with its compact and well-described nervous system, provides a powerful model to dissect neuroendocrine signaling networks involved in the control of physiology and behavior. We summarize recent discoveries on the evolutionary conservation and knowledge on the functions of peptide and protein hormone systems in C. elegans.

Facing the phase problem

The marvel of X-ray crystallography is the beauty and precision of the atomic structures deduced from diffraction patterns. Since these patterns record only amplitudes, phases for the diffracted waves must also be evaluated for systematic structure determination. Thus, we have the phase problem as a central complication, both intellectually for the field and practically so for many analyses. Here, I discuss how we - myself, my laboratory and the diffraction community - have faced the phase problem, considering the evolution of methods for phase evaluation as structural biology developed to the present day. During the explosive growth of macromolecular crystallography, practice in diffraction analysis evolved from a universal reliance on isomorphous replacement to the eventual domination of anomalous diffraction for de novo structure determination. As the Protein Data Bank (PDB) grew and familial relationships among proteins became clear, molecular replacement overtook all other phasing methods; however, experimental phasing remained essential for molecules without obvious precedents, with multi- and single-wavelength anomalous diffraction (MAD and SAD) predominating. While the mathematics-based direct methods had proved to be inadequate for typical macromolecules, they returned to crack substantial selenium substructures in SAD analyses of selenomethionyl proteins. Native SAD, exploiting the intrinsic S and P atoms of biomolecules, has become routine. Selenomethionyl SAD and MAD were the mainstays of structural genomics efforts to populate the PDB with novel proteins. A recent dividend has been paid in the success of PDB-trained artificial intelligence approaches for protein structure prediction. Currently, molecular replacement with AlphaFold models often obviates the need for experimental phase evaluation. For multiple reasons, we are now unfazed by the phase problem. Cryo-EM analysis is an attractive alternative to crystallography for many applications faced by today's structural biologists. It simply finesses the phase problem; however, the principles and procedures of diffraction analysis remain pertinent and are adopted in single-particle cryo-EM studies of biomolecules.

Ancestral glycoprotein hormone-receptor pathway controls growth in C. elegans

In vertebrates, thyrostimulin is a highly conserved glycoprotein hormone that, besides thyroid stimulating hormone (TSH), is a potent ligand of the TSH receptor. Thyrostimulin is considered the most ancestral glycoprotein hormone and orthologs of its subunits, GPA2 and GPB5, are widely conserved across vertebrate and invertebrate animals. Unlike TSH, however, the functions of the thyrostimulin neuroendocrine system remain largely unexplored. Here, we identify a functional thyrostimulin-like signaling system in Caenorhabditis elegans. We show that orthologs of GPA2 and GPB5, together with thyrotropin-releasing hormone (TRH) related neuropeptides, constitute a neuroendocrine pathway that promotes growth in C. elegans. GPA2/GPB5 signaling is required for normal body size and acts through activation of the glycoprotein hormone receptor ortholog FSHR-1. C. elegans GPA2 and GPB5 increase cAMP signaling by FSHR-1 in vitro. Both subunits are expressed in enteric neurons and promote growth by signaling to their receptor in glial cells and the intestine. Impaired GPA2/GPB5 signaling causes bloating of the intestinal lumen. In addition, mutants lacking thyrostimulin-like signaling show an increased defecation cycle period. Our study suggests that the thyrostimulin GPA2/GPB5 pathway is an ancient enteric neuroendocrine system that regulates intestinal function in ecdysozoans, and may ancestrally have been involved in the control of organismal growth.

Accelerating crystal structure determination with iterative AlphaFold prediction

Experimental structure determination can be accelerated with artificial intelligence (AI)-based structure-prediction methods such as AlphaFold. Here, an automatic procedure requiring only sequence information and crystallographic data is presented that uses AlphaFold predictions to produce an electron-density map and a structural model. Iterating through cycles of structure prediction is a key element of this procedure: a predicted model rebuilt in one cycle is used as a template for prediction in the next cycle. This procedure was applied to X-ray data for 215 structures released by the Protein Data Bank in a recent six-month period. In 87% of cases our procedure yielded a model with at least 50% of Cα atoms matching those in the deposited models within 2 Å. Predictions from the iterative template-guided prediction procedure were more accurate than those obtained without templates. It is concluded that AlphaFold predictions obtained based on sequence information alone are usually accurate enough to solve the crystallographic phase problem with molecular replacement, and a general strategy for macromolecular structure determination that includes AI-based prediction both as a starting point and as a method of model optimization is suggested.