Dataset Information

Tobamovirus 3'-Terminal Gene Overlap May be a Mechanism for within-Host Fitness Improvement.

ABSTRACT: Overlapping genes (OGs) are a universal phenomenon in all kingdoms, and viruses display a high content of OGs combined with a high rate of evolution. It is believed that the mechanism of gene overlap is based on overprinting of an existing gene. OGs help virus genes compress a maximum amount of information into short sequences, conferring viral proteins with novel features and thereby increasing their within-host fitness. Analysis of tobamovirus 3'-terminal genes reveals at least two modes of OG organization and mechanisms of interaction with the host. Originally isolated from Solanaceae species, viruses (referred to as Solanaceae-infecting) such as tobacco mosaic virus do not show 3'-terminal overlap between movement protein (MP) and coat protein (CP) genes but do contain open reading frame 6 (ORF6), which overlaps with both genes. Conversely, tobamoviruses, originally isolated from Brassicaceae species (referred to as Brassicaceae-infecting) and also able to infect Solanaceae plants, have no ORF6 but are characterized by overlapping MP and CP genes. Our analysis showed that the MP/CP overlap of Brassicaceae-infecting tobamoviruses results in the following: (i) genome compression and strengthening of subgenomic promoters; (ii) CP gene early expression directly from genomic and dicistronic MP subgenomic mRNA using an internal ribosome entry site (IRES) and a stable hairpin structure in the overlapping region; (iii) loss of ORF6, which influences the symptomatology of Solanaceae-infecting tobamoviruses; and (iv) acquisition of an IRES polypurine-rich region encoding an MP nuclear localization signal. We believe that MP/CP gene overlap may constitute a mechanism for host range expansion and virus adjustment to Brassicaceae plants.

SUBMITTER: Dorokhov YL

PROVIDER: S-EPMC5425575 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:In the absence of effective antiviral therapy, HIV-1 evolves in response to the within-host environment, of which the immune system is an important aspect. During the earliest stages of infection, this process of evolution is very rapid, driven by a small number of CTL escape mutations. As the infection progresses, immune escape variants evolve under reduced magnitudes of selection, while competition between an increasing number of polymorphic alleles (i.e., clonal interference) makes it difficult to quantify the magnitude of selection acting upon specific variant alleles. To tackle this complex problem, we developed a novel multi-locus inference method to evaluate the role of selection during the chronic stage of within-host infection. We applied this method to targeted sequence data from the p24 and gp41 regions of HIV-1 collected from 34 patients with long-term untreated HIV-1 infection. We identify a broad distribution of beneficial fitness effects during infection, with a small number of variants evolving under strong selection and very many variants evolving under weaker selection. The uniquely large number of infections analysed granted a previously unparalleled statistical power to identify loci at which selection could be inferred to act with statistical confidence. Our model makes no prior assumptions about the nature of alleles under selection, such that any synonymous or non-synonymous variant may be inferred to evolve under selection. However, the majority of variants inferred with confidence to be under selection were non-synonymous in nature, and in most cases were have previously been associated with either CTL escape in p24 or neutralising antibody escape in gp41. We also identified a putative new CTL escape site (residue 286 in gag), and a region of gp41 (including residues 644, 648, 655 in env) likely to be associated with immune escape. Sites inferred to be under selection in multiple hosts have high within-host and between-host diversity although not all sites with high between-host diversity were inferred to be under selection at the within-host level. Our identification of selection at sites associated with resistance to broadly neutralising antibodies (bNAbs) highlights the need to fully understand the role of selection in untreated individuals when designing bNAb based therapies.

Dataset Information

Tobamovirus 3'-Terminal Gene Overlap May be a Mechanism for within-Host Fitness Improvement.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure