scholarly journals Sensitivity of Human Papillomavirus (HPV) Lineage and Sublineage Variant Pseudoviruses to Neutralization by Nonavalent Vaccine Antibodies

2019 ◽  
Vol 220 (12) ◽  
pp. 1940-1945 ◽  
Author(s):  
Anna Godi ◽  
Troy J Kemp ◽  
Ligia A Pinto ◽  
Simon Beddows

Abstract Natural variants of human papillomavirus (HPV) are classified into lineages and sublineages based upon whole-genome sequence, but the impact of diversity on protein function is unclear. We investigated the susceptibility of 3–8 representative pseudovirus variants of HPV16, HPV18, HPV31, HPV33, HPV45, HPV52, and HPV58 to neutralization by nonavalent vaccine (Gardasil®9) sera. Many variants demonstrated significant differences in neutralization sensitivity from their consensus A/A1 variant but these were of a low magnitude. HPV52 D and HPV58 C variants exhibited >4-fold reduced sensitivities compared to their consensus A/A1 variant and should be considered distinct serotypes with respect to nonavalent vaccine-induced immunity.

Intervirology ◽  
2010 ◽  
Vol 53 (3) ◽  
pp. 161-166 ◽  
Author(s):  
Woradee Lurchachaiwong ◽  
Pairoj Junyangdikul ◽  
Wichai Termrungruanglert ◽  
Sunchai Payungporn ◽  
Pichet Sampatanukul ◽  
...  

2018 ◽  
Vol 20 (6) ◽  
pp. 1997-2008 ◽  
Author(s):  
Clare Horscroft ◽  
Sarah Ennis ◽  
Reuben J Pengelly ◽  
Timothy J Sluckin ◽  
Andrew Collins

Abstract Insights into genetic loci which are under selection and their functional roles contribute to increased understanding of the patterns of phenotypic variation we observe today. The availability of whole-genome sequence data, for humans and other species, provides opportunities to investigate adaptation and evolution at unprecedented resolution. Many analytical methods have been developed to interrogate these large data sets and characterize signatures of selection in the genome. We review here recently developed methods and consider the impact of increased computing power and data availability on the detection of selection signatures. Consideration of demography, recombination and other confounding factors is important, and use of a range of methods in combination is a powerful route to resolving different forms of selection in genome sequence data. Overall, a substantial improvement in methods for application to whole-genome sequencing is evident, although further work is required to develop robust and computationally efficient approaches which may increase reproducibility across studies.


2001 ◽  
Vol 7 (10) ◽  
pp. 698-710 ◽  
Author(s):  
Marcin P. Joachimiak ◽  
Calvin Chang ◽  
Philip J. Rosenthal ◽  
Fred E. Cohen

2012 ◽  
Vol 86 (18) ◽  
pp. 10242-10243 ◽  
Author(s):  
Denise A. Marston ◽  
Richard J. Ellis ◽  
Daniel L. Horton ◽  
Ivan V. Kuzmin ◽  
Emma L. Wise ◽  
...  

Lyssaviruses (familyRhabdoviridae) constitute one of the most important groups of viral zoonoses globally. All lyssaviruses cause the disease rabies, an acute progressive encephalitis for which, once symptoms occur, there is no effective cure. Currently available vaccines are highly protective against the predominantly circulating lyssavirus species. Using next-generation sequencing technologies, we have obtained the whole-genome sequence for a novel lyssavirus, Ikoma lyssavirus (IKOV), isolated from an African civet in Tanzania displaying clinical signs of rabies. Genetically, this virus is the most divergent within the genusLyssavirus. Characterization of the genome will help to improve our understanding of lyssavirus diversity and enable investigation into vaccine-induced immunity and protection.


Viruses ◽  
2018 ◽  
Vol 10 (2) ◽  
pp. 68 ◽  
Author(s):  
Pascal Weele ◽  
Chris Meijer ◽  
Audrey King

2019 ◽  
Author(s):  
Roger Ros-Freixedes ◽  
Andrew Whalen ◽  
Gregor Gorjanc ◽  
Alan J Mileham ◽  
John M Hickey

AbstractBackgroundFor assembling large whole-genome sequence datasets to be used routinely in research and breeding, the sequencing strategy should be adapted to the methods that will later be used for variant discovery and imputation. In this study we used simulation to explore the impact that the sequencing strategy and level of sequencing investment have on the overall accuracy of imputation using hybrid peeling, a pedigree-based imputation method well-suited for large livestock populations.MethodsWe simulated marker array and whole-genome sequence data for fifteen populations with simulated or real pedigrees that had different structures. In these populations we evaluated the effect on imputation accuracy of seven methods for selecting which individuals to sequence, the generation of the pedigree to which the sequenced individuals belonged, the use of variable or uniform coverage, and the trade-off between the number of sequenced individuals and their sequencing coverage. For each population we considered four levels of investment in sequencing that were proportional to the size of the population.ResultsImputation accuracy largely depended on pedigree depth. The distribution of the sequenced individuals across the generations of the pedigree underlay the performance of the different methods used to select individuals to sequence. Additionally, it was critical to balance high imputation accuracy in early generations as well as in late generations. Imputation accuracy was highest with a uniform coverage across the sequenced individuals of around 2x rather than variable coverage. An investment equivalent to the cost of sequencing 2% of the population at 2x provided high imputation accuracy. The gain in imputation accuracy from additional investment diminished with larger populations and larger levels of investment. However, to achieve the same imputation accuracy, a proportionally greater investment must be used in the smaller populations compared to the larger ones.ConclusionsSuitable sequencing strategies for subsequent imputation with hybrid peeling involve sequencing around 2% of the population at a uniform coverage around 2x, distributed preferably from the third generation of the pedigree onwards. Such sequencing strategies are beneficial for generating whole-genome sequence data in populations with deep pedigrees of closely related individuals.


2021 ◽  
Vol 10 (39) ◽  
Author(s):  
Yuri Munsamy ◽  
Riaz Y. Seedat ◽  
Tumelo R. Sekee ◽  
Phillip A. Bester ◽  
Danelle van Jaarsveldt ◽  
...  

We report the complete genome sequence of human papillomavirus type 18 isolated from a nasopharyngeal carcinoma in South Africa.


Sign in / Sign up

Export Citation Format

Share Document