Insights into the evolution, virulence and speciation of Babesia MO1 and Babesia divergens through multiomics analyses
2024
Singh, Pallavi | Vydyam, Pratap | Fang, Tiffany | Estrada, Karel | Gonzalez, Luis, Miguel | Grande, Ricardo | Kumar, Madelyn | Chakravarty, Sakshar | Berry, Vincent | Ranwez, Vincent | Carcy, Bernard | Depoix, Delphine | Sánchez, Sergio | Cornillot, Emmanuel | Abel, Steven | Ciampossin, Loic | Lenz, Todd | Harb, Omar | Sanchez-Flores, Alejandro | Montero, Estrella | Le Roch, Karine, G. | Lonardi, Stefano | Mamoun, Choukri, Ben | Yale School of Medicine [New Haven, Connecticut] (YSM) | Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM) | Instituto de Salud Carlos III [Madrid] (ISCIII) | University of California [Riverside] (UC Riverside) ; University of California (UC) | Méthodes et Algorithmes pour la Bioinformatique (LIRMM | MAB) ; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM) | Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM) | Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (MIVEGEC) ; Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [Occitanie])-Université de Montpellier (UM) | Molécules de Communication et Adaptation des Micro-organismes (MCAM) ; Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS) | Institut de Biologie Computationnelle (IBC) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Montpellier (UM) | Institut de Recherche en Cancérologie de Montpellier (IRCM - U1194 Inserm - UM) ; CRLCC Val d'Aurelle - Paul Lamarque-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM) | University of Pennsylvania | C.B.M.’s research was supported by grants from the National Institutes of Health (AI097218, GM110506, AI123321 and R43AI136118), the Steven and Alexandra Cohen Foundation (Lyme 62 2020), and the Global Lyme Alliance. KLR’s research is supported by the National Institutes of Allergy and Infectious Diseases (R01 AI136511, R01 AI142743-01 and R21 AI142506-01) and the University of California, Riverside (NIFA-Hatch-225935). EM and LMG research is supported by a grant from the Instituto de Salud Carlos III, Spain (PI20CIII-00037).
All datasets generated for the current study are accessible in the NCBI/SRA repository under Bioproject PRJNA1032622 (reviewer link). Specifically, the datasets include PacBio HiFi reads (SRA accession number SRR26661633), B. MO1 genome, RNA-Seq (SRA accession number SRR26661632), Hi-C reads (SRA accession number SRR26661630, SRR26661631), ChIP-Seq reads (SRA accession number SRR26661627, SRR26661629, SRR26661626, SRR26661628, SRR26661625).The Babesia MO1 genome was processed using the gene annotation pipeline FunAnnotate v1.8.9 (https://github.com/nextgenusfs/funannotate) and PAP (https://github.com/kjestradag/PAP) pipelines. FunAnnotate was supplied with the MO1 IsoSeq isoforms computed above, along with protein sets of B. bigemina, B. bovis, B. microti, P. falciparum, Toxoplasma gondii, T. orientalis, T. parva and all UniProt/SwissProt protein models. Functional annotations were obtained using InterProScan v5.55-88 with default parameters. For B. divergens Rouen 87, gene annotations were transferred to the improved assembly presented here using the PATT pipeline (https://github.com/kjestradag/PATT). Gene models form B. MO1 were constructed based on annotations of evolutionarily-related species and further refined using PacBio Iso-seq data specific to B. MO1.Babesia MO1, B. divergens Rouen 87 and a B. divergens clinical isolate from Spain were cultured using human A+ blood obtained from healthy volunteer donors [Citation6]. The blood was sourced from the American red cross (US), the Interstate Blood Bank (US), or the Blood Transfusion Center (Spain), adhering to approved protocols and in compliance with the relevant institutional guidelines and regulations.
اظهر المزيد [+] اقل [-]International audience
اظهر المزيد [+] اقل [-]إنجليزي. Babesiosis, caused by protozoan parasites of the genus Babesia, is an emerging tick-borne disease of significance for both human and animal health. Babesia parasites infect erythrocytes of vertebrate hosts where they develop and multiply rapidly to cause the pathological symptoms associated with the disease. The identification of new Babesia species underscores the ongoing risk of zoonotic pathogens capable of infecting humans, a concern amplified by anthropogenic activities and environmental changes. One such pathogen, Babesia MO1, previously implicated in severe cases of human babesiosis in the United States, was initially considered a subspecies of B. divergens, the predominant agent of human babesiosis in Europe. Here we report comparative multiomics analyses of B. divergens and B. MO1 that offer insight into their biology and evolution. Our analysis shows that despite their highly similar genomic sequences, substantial genetic and genomic divergence occurred throughout their evolution resulting in major differences in gene functions, expression and regulation, replication rates and susceptibility to antiparasitic drugs. Furthermore, both pathogens have evolved distinct classes of multigene families, crucial for their pathogenicity and adaptation to specific mammalian hosts. Leveraging genomic information for B. MO1, B. divergens, and other members of the Babesiidae family within Apicomplexa provides valuable insights into the evolution, diversity, and virulence of these parasites. This knowledge serves as a critical tool in preemptively addressing the emergence and rapid transmission of more virulent strains.
اظهر المزيد [+] اقل [-]الكلمات المفتاحية الخاصة بالمكنز الزراعي (أجروفوك)
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تم تزويد هذا السجل من قبل Institut national de la recherche agronomique