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1.
Vet Microbiol ; 186: 150-6, 2016 Apr 15.
Artigo em Inglês | MEDLINE | ID: mdl-27016769

RESUMO

Fibropapillomatosis (FP), a neoplastic disease characterized by the formation of multiple tumors affecting different species of sea turtles and, most often, the green turtle (Chelonia mydas), is considered one of the major threats to the survival of this species. Recent studies indicate that Chelonid herpesvirus (ChHV5) is the etiological agent of this disease, though its association with anthropogenically altered environments and the immune status of these animals also appears to contribute to disease expression and tumor formation. In this study, tumor biopsy and secretions from green turtles captured off the coast of São Paulo State, Brazil, were used in histological and molecular analyses to detect and characterize circulating ChHV5. In 40.9% of cases, the tumor histopathological findings revealed focal ballooning degeneration with intranuclear inclusion bodies, results which are suggestive of viral infection. ChHV5 was detected using polymerase chain reaction (PCR) on the animals' skin, ocular tumor biopsies, and ocular and oral secretions. The analysis of the detected ChHV5 sequences revealed two distinct genetic sequences together. Phylogenetic analysis indicated that Brazilian samples were similar to ChHV5 samples described for the Atlantic phylogeographic group and are therefore part of the same clade as the Gulf of Guinea and Puerto Rico samples. This similarity suggests a possible flow of the virus between these three regions.


Assuntos
Secreções Corporais/virologia , Herpesviridae/isolamento & purificação , Papiloma/virologia , Neoplasias Cutâneas/virologia , Infecções Tumorais por Vírus/virologia , Tartarugas/virologia , Sequência de Aminoácidos , Animais , Brasil , Herpesviridae/classificação , Herpesviridae/genética , Dados de Sequência Molecular , Papiloma/patologia , Filogenia , Alinhamento de Sequência , Neoplasias Cutâneas/patologia , Infecções Tumorais por Vírus/patologia
2.
Front Microbiol ; 7: 269, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-26973638

RESUMO

This work reports the development of GenSeed-HMM, a program that implements seed-driven progressive assembly, an approach to reconstruct specific sequences from unassembled data, starting from short nucleotide or protein seed sequences or profile Hidden Markov Models (HMM). The program can use any one of a number of sequence assemblers. Assembly is performed in multiple steps and relatively few reads are used in each cycle, consequently the program demands low computational resources. As a proof-of-concept and to demonstrate the power of HMM-driven progressive assemblies, GenSeed-HMM was applied to metagenomic datasets in the search for diverse ssDNA bacteriophages from the recently described Alpavirinae subfamily. Profile HMMs were built using Alpavirinae-specific regions from multiple sequence alignments (MSA) using either the viral protein 1 (VP1; major capsid protein) or VP4 (genome replication initiation protein). These profile HMMs were used by GenSeed-HMM (running Newbler assembler) as seeds to reconstruct viral genomes from sequencing datasets of human fecal samples. All contigs obtained were annotated and taxonomically classified using similarity searches and phylogenetic analyses. The most specific profile HMM seed enabled the reconstruction of 45 partial or complete Alpavirinae genomic sequences. A comparison with conventional (global) assembly of the same original dataset, using Newbler in a standalone execution, revealed that GenSeed-HMM outperformed global genomic assembly in several metrics employed. This approach is capable of detecting organisms that have not been used in the construction of the profile HMM, which opens up the possibility of diagnosing novel viruses, without previous specific information, constituting a de novo diagnosis. Additional applications include, but are not limited to, the specific assembly of extrachromosomal elements such as plastid and mitochondrial genomes from metagenomic data. Profile HMM seeds can also be used to reconstruct specific protein coding genes for gene diversity studies, and to determine all possible gene variants present in a metagenomic sample. Such surveys could be useful to detect the emergence of drug-resistance variants in sensitive environments such as hospitals and animal production facilities, where antibiotics are regularly used. Finally, GenSeed-HMM can be used as an adjunct for gap closure on assembly finishing projects, by using multiple contig ends as anchored seeds.

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