Christian Roumestand

Babesiosis is a tick‐borne disease that poses a significant threat to animal health worldwide. In addition, climate change and the risk of human‐to‐human transmission through blood transfusion have made babesiosis an emerging disease in humans. Babesiosis is caused by the intraerythrocytic development of protozoan parasites from the genus Babesia, which belongs to the apicomplexan phylum that notably includes the more‐widely studied causative agent of malaria, Plasmodium falciparum. Of the several hundred Babesia species identified so far, only a few are known to infect humans, with B. microti being the most prevalent and responsible for most of the clinical cases reported to date. There is no licensed vaccine for B. microti, and the development of a reliable serological diagnostic test would contribute to ensuring the safety of blood transfusions. The identification and characterization of parasite surface proteins are important steps in achieving this aim. One such protein is the GPI‐anchored Major Surface Antigen BmSA1 (also known as BmGPI12), which is expressed at high levels at the surface of the merozoite. We present here the high‐resolution solution structure of the 28 kDa structured core of BmSA1 (∆∆BmSA1) obtained through NMR spectroscopy. The structure of BmSA1 appears unrelated to the previously published structures of the major surface antigens of B. divergens (Bd37) or of B. canis (Bc28.1), which are thought to play a similar role in parasite invasion. We also define the erythrocyte binding function of ∆∆BmSA1, using NMR spectroscopy to map the binding interface. Finally, we used bioinformatic tools to map the potential epitopes of antibodies at the surface of the structured core of BmSA1.

Summary: Phytopathogenic fungi cause enormous yield losses in many crops, threatening both agricultural production and global food security. To infect plants, they secrete effectors targeting various cellular processes in the host. Putative effector genes are numerous in fungal genomes, and they generally encode proteins with no sequence homology to each other or to other known proteins or domains. Recent studies have elucidated and predicted three‐dimensional structures of effectors from a wide diversity of plant pathogenic fungi, revealing a limited number of conserved folds. Effectors with very diverse amino acid sequences can thereby be grouped into families based on structural homology. Some structural families are conserved in many different fungi, and some are expanded in specific fungal taxa. Here, we describe the features of these structural families and discuss recent advances in predicting new structural families. We highlight the contribution of structural analyses to deepen our understanding of the function and evolution of fungal effectors. We also discuss prospects offered by advances in structural modeling for predicting and studying the virulence targets of fungal effectors in plants.

Proteins unfold under different environmental insults, among which are heat, cold, high pressure, and chaotropic agents. Understanding the mechanisms that determine unfolding under each of these conditions is an important problem that directly relates to the physical forces that determine the three-dimensional structure of a protein. Here, we studied a residue-specific description of the unfolding transitions of marginally stable yeast protein Yfh1 using high-pressure nuclear magnetic resonance. We compared the cold, heat, and pressure unfolded states and demonstrated what has up to now been only a hypothesis: the pressure-unfolded spectrum at room temperature shares features in common with that at low but not at high temperature and room pressure, suggesting a tighter similarity of the mechanisms and a similar role of hydration in these two processes. By exploring the phase diagram of the protein and mapping unfolding onto the three-dimensional structure of the protein, we also show that the pressure-induced unfolding pathways at low and high temperatures differ, suggesting a synergic mechanism between pressure- and temperature-induced denaturation. Our observations help us to reconstruct the structural events determining unfolding and distinguish the mechanisms that rule the different processes of unfolding.

The adenosine di-phosphate (ADP) ribosylation factor (Arf) small guanosine tri-phosphate (GTP)ases function as molecular switches to activate signaling cascades that control membrane organization in eukaryotic cells. In Arf1, the GDP/GTP switch does not occur spontaneously but requires guanine nucleotide exchange factors (GEFs) and membranes. Exchange involves massive conformational changes, including disruption of the core β-sheet. The mechanisms by which this energetically costly switch occurs remain to be elucidated. To probe the switch mechanism, we coupled pressure perturbation with nuclear magnetic resonance (NMR), Fourier Transform infra-red spectroscopy (FTIR), small-angle X-ray scattering (SAXS), fluorescence, and computation. Pressure induced the formation of a classical molten globule (MG) ensemble. Pressure also favored the GDP to GTP transition, providing strong support for the notion that the MG ensemble plays a functional role in the nucleotide switch. We propose that the MG ensemble allows for switching without the requirement for complete unfolding and may be recognized by GEFs. An MG-based switching mechanism could constitute a pervasive feature in Arfs and Arf-like GTPases, and more generally, the evolutionarily related (Ras-like small GTPases) Rags and Gα GTPases.

Magnaporthe AVRs and ToxB-like (MAX) effectors constitute a family of secreted virulence proteins in the fungus Pyricularia oryzae (syn. Magnaporthe oryzae), which causes blast disease on numerous cereals and grasses. In spite of high sequence divergence, MAX effectors share a common fold characterized by a ß-sandwich core stabilized by a conserved disulfide bond. In this study, we investigated the structural landscape and diversity within the MAX effector repertoire of P. oryzae. Combining experimental protein structure determination and in silico structure modeling we validated the presence of the conserved MAX effector core domain in 77 out of 94 groups of orthologs (OG) identified in a previous population genomic study. Four novel MAX effector structures determined by NMR were in remarkably good agreement with AlphaFold2 (AF2) predictions. Based on the comparison of the AF2-generated 3D models we propose a classification of the MAX effectors superfamily in 20 structural groups that vary in the canonical MAX fold, disulfide bond patterns, and additional secondary structures in N- and C-terminal extensions. About one-third of the MAX family members remain singletons, without strong structural relationship to other MAX effectors. Analysis of the surface properties of the AF2 MAX models also highlights the high variability within the MAX family at the structural level, potentially reflecting the wide diversity of their virulence functions and host targets.

NCYM is a cis-antisense gene of MYCN oncogene and encodes an oncogenic protein that stabilizes MYCN via inhibition of GSK3b. High NCYM expression levels are associated with poor clinical outcomes in human neuroblastomas, and NCYM overexpression promotes distant metastasis in animal models of neuroblastoma. Using vacuum-ultraviolet circular dichroism and small-angle X-ray scattering, we previously showed that NCYM has high flexibility with partially folded structures; however, further structural characterization is required for the design of anti-cancer agents targeting NCYM. Here we report the ¹H, ¹⁵N and ¹³C nuclear magnetic resonance assignments of NCYM. Secondary structure prediction using Secondary Chemical Shifts and TALOS-N analysis demonstrates that the structure of NCYM is essentially disordered, even though residues in the central region of the peptide clearly present a propensity to adopt a dynamic helical structure. This preliminary study provides foundations for further analysis of interaction between NCYM and potential partners.

Magnaporthe AVRs and ToxB-like (MAX) effectors constitute a family of secreted virulence proteins in the fungus Pyricularia oryzae (syn. Magnaporthe oryzae) , which causes blast disease on numerous cereals and grasses. In spite of high sequence divergence, MAX effectors share a common fold characterized by a ß-sandwich core stabilized by a conserved disulfide bond. In this study, we investigated the structural landscape and diversity within the MAX effector repertoire of P. oryzae. Combining experimental protein structure determination and in silico structure modeling we validated the presence of the conserved MAX effector core domain in 77 out of 94 groups of orthologs (OG) identified in a previous population genomic study. Four novel MAX effector structures determined by NMR were in remarkably good agreement with AlphaFold2 (AF2) predictions. Based on the comparison of the AF2-generated 3D models we propose a classification of the MAX effectors superfamily in 20 structural groups that vary in the canonical MAX fold, disulfide bond patterns, and additional secondary structures in N- and C-terminal extensions. About one-third of the MAX family members remain singletons, without strong structural relationship to other MAX effectors. Analysis of the surface properties of the AF2 MAX models also highlights the high variability within the MAX family at the structural level, potentially reflecting the wide diversity of their virulence functions and host targets. Author summary: MAX effectors are a family of virulence proteins from the plant pathogenic fungus Pyricularia (syn. Magnaporthe) oryzae that share a similar 3D structure despite very low amino-acid sequence identity. Characterizing the function and evolution of these proteins requires a detailed understanding of their structural diversity. With this in mind, we have determined the NMR structures of four new MAX effectors and shown a near-perfect match with the corresponding AlphaFold2 (AF2) models. We then applied a prediction pipeline based on similarity searches with structural modeling using the AF2 software to predict MAX effectors in a collection of 120 P. oryzae genomes. The resulting models and experimental structures revealed that the MAX core while preserved is highly permissive to secondary structure variations and may coexists with extensive structural diversity in terms of structured N- or C-terminal extensions permitting their classification. For a subset of AF2 models, we have also analyzed the physico-chemical properties of the core domain surfaces, adding another, more functional perspective, notably surface electrostatics and stickiness. This work constitutes a major step in understanding the relationships among MAX effectors by analyzing their structural landscape and cataloguing specific physico-chemical properties. It also provides valuable insights for guiding research into the putative targets of these effectors in infected plant hosts.

Human babesiosis is a vector-borne zoonotic infection caused mostly by the Apicomplexan parasite Babesia microti, distributed worldwide. The infection can result in severe symptoms such as hemolytic anemia, especially in immunodeficient patients. Also, asymptomatic patients continue transmission as unscreened blood donors, and represent a risk for Public Health. Early host-parasite interactions are mediated by BmSA1, the major surface antigen of Babesia microti, crucial for invasion and immune escape. Hence, a structural and functional characterization of the BmSA1 protein constitutes a first strategic milestone toward the development of innovative tools to control infection. Knowledge of the 3D structure of such an important antigen is crucial for the development of vaccines or new diagnostic tests. Here, we report the ¹H, ¹⁵N and ¹³C NMR resonance assignment of ∆∆BmSA1, a truncated recombinant version of BmSA1 without the N-terminal signal peptide and the hydrophobic C-terminal GPI-anchor. Secondary structure prediction using CSI.3 and TALOS-N demonstrates a high content of alpha-helical structure. This preliminary study provides foundations for further structural characterization of BMSA1.

Life is thought to have appeared in the depth of the sea under high hydrostatic pressure. Nowadays, it is known that the deep biosphere hosts a myriad of life forms thriving under high-pressure conditions. However, the evolutionary mechanisms leading to their adaptation are still not known. Here, we show the molecular bases of these mechanisms through a joint structural and dynamical study of two orthologous proteins. We observed that pressure adaptation involves the decoupling of protein–water dynamics and the elimination of cavities in the protein core. This is achieved by rearranging the charged residues on the protein surface and using bulkier hydrophobic residues in the core. These findings will be the starting point in the search for a complete genomic model explaining high-pressure adaptation.