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2024-01-01
Sustainable Development Goals
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HELMINTH SECRETOMES REFLECT DIFFERENT LIFESTYLES AND PARASITIZED HOSTS.
Evolução de proteínas
biodiversidade
interação parasito-hospedeiro
biologia computacional
helmintos
Protein evolution
Biodiversity
Host-parasite interaction
Computational biology
Helminths
Author
Affilliation
Universidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Belo Horizonte, MG, Brazil
Fundação Oswaldo Cruz. Instituto René Rachou. Belo Horizonte, MG, Brazil/Universidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Belo Horizonte, MG, Brazil
Fundação Oswaldo Cruz. Instituto René Rachou. Belo Horizonte, MG, Brazil/Faculdade Promove de Tecnologia. Belo Horizonte, MG, Brazil
Fundação Oswaldo Cruz. Instituto René Rachou. Belo Horizonte, MG, Brazil/Instituto Tecnológico Vale. Belém, PA, Brazil
Fundação Oswaldo Cruz. Instituto René Rachou. Belo Horizonte, MG, Brazil/Universidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Belo Horizonte, MG, Brazil
Fundação Oswaldo Cruz. Instituto René Rachou. Belo Horizonte, MG, Brazil/Faculdade Promove de Tecnologia. Belo Horizonte, MG, Brazil
Fundação Oswaldo Cruz. Instituto René Rachou. Belo Horizonte, MG, Brazil/Instituto Tecnológico Vale. Belém, PA, Brazil
Abstract
Helminths cause a number of medical and agricultural problems and are a major cause of parasitic infections in humans, animals and plants. Comparative analysis of helminth genes and genomes are important to understand the genomic biodiversity and evolution of parasites and their hosts in terms of different selective pressures in their habitats. The interactions between the infective organisms and their hosts are mediated in large part by secreted proteins, known collectively as the “secretome”. Proteins secreted by parasites are able to modify a host's environment and modulate their immune system. The composition and function of this set of proteins varies depending on the ecology, lifestyle and environment of an organism. The present study aimed to predict, in silico, the secretome in 44 helminth species including Nematoda (31 species) and Platyhelminthes (13 species) and, understand the diversity and evolution of secretomes. Secretomes from plant helminths range from 7.6% (943 proteins) to 13.9% (2,077 proteins) of the filtered proteome with an average of 10.2% (1,412 proteins) and from free-living helminths range from 4.4% (870 proteins) to 13% (3,121 proteins) with an average of 9.8% (2,126 proteins), respectively, and thus are considerably larger secretomes in relation to animal helminth secretomes which range from 4.2% (431 proteins) to 11.8% (2,419 proteins) of the proteomes, with an average of 7.1% (804 proteins). Across 44 secretomes in different helminth species, we found five conserved domains: (i) PF00014 (Kunitz/Bovine pancreatic trypsin inhibitor domain), (ii) PF00046 (Homeobox domain), (iii) PF00188 (cysteine-rich secretory proteins, antigen 5, and pathogenesis-related 1 proteins), (iv) PF00085 (Thioredoxin) and (v) PF07679 (Immunoglobulin I-set domain). Our results detected secreted proteins associated with invasion, infection, adhesion and immunoregulation processes as protease inhibitors and cytokines, among other functions. In summary, this study will contribute towards the understanding of host-parasite interactions and possibly identify new molecular targets for the treatment or diagnosis of helminthiases.
Keywords in Portuguese
SecretomeEvolução de proteínas
biodiversidade
interação parasito-hospedeiro
biologia computacional
helmintos
Keywords
SecretomeProtein evolution
Biodiversity
Host-parasite interaction
Computational biology
Helminths
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