Jonathan G. Lawton , Albert E. Zhou , Emily M. Stucke , Shannon Takala-Harrison , Joana C. Silva , Mark A. Travassos
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引用次数: 0
Abstract
The repetitive interspersed family (rif) and subtelomeric variable open reading frames (stevor) are highly diverse multi-gene families in the malaria parasite Plasmodium falciparum. Embedded on the surface of infected erythrocytes, RIFIN and STEVOR proteins are involved in cytoadherence and immune evasion, but the extent of family-wide sequence diversity across strains has yet to be comprehensively investigated in light of improved resolution of the subtelomeric genome sequences. Using a k-mer frequency approach, we analyzed long-read genomic sequence data from 18 geographically diverse P. falciparum genome assemblies, including lab strains and clinical isolates. We hypothesized that k-mer sequence comparison can identify existing RIFIN and STEVOR subgroups, identify novel subgroups, and generate more robust and reliable estimates of family-wide sequence diversity. Full-length RIFIN and STEVOR proteins shared on average 49.5% and 61.1% amino acid k-mer similarity, respectively, which fell to 25.1% and 20% in the hypervariable regions alone. Despite this diversity, we identified 11 RIFINs and five STEVORs that were conserved across strains above expected thresholds. A subset of these strain-transcendent genes was similar and syntenic to genes in related Plasmodium species, suggesting an ancient origin. Additionally, in silico structural predictions from AlphaFold showed that three-dimensional structures of RIFIN receptor-binding regions were more conserved than their sequences suggested. Evolutionarily constrained RIFINs and STEVORs may have critical functions in parasite survival or pathogenesis. This study provides a framework for investigating diversity in highly variable multi-gene families and highlights the potential of strain-transcendent RIFIN and STEVOR proteins as vaccine candidates.
期刊介绍:
(aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID)
Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance.
However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors.
Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases.
Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .