Molecular typing of major histocompatibility complex class I alleles in the Indian rhesus macaque which restrict SIV CD8<Superscript>+</Superscript> T cell epitopes

The utility of the rhesus macaque as an animal model in both HIV vaccine development and pathogenesis studies necessitates the development of accurate and efficient major histocompatibility complex (MHC) genotyping technologies. In this paper, we describe the development and application of allele-specific polymerase chain reaction (PCR) amplification for the simultaneous detection of eight MHC class I alleles from the rhesus macaque (Macaca mulatta) of Indian descent. These alleles were selected, as they have been implicated in the restriction of CD8(+) T cell epitopes of simian immunodeficiency virus (SIV). Molecular typing of Mamu-A 01, Mamu-A 02, Mamu-A 08, Mamu-A 11, Mamu-B 01, Mamu-B 03, Mamu-B 04, and Mamu-B 17 was conducted in a high throughput fashion using genomic DNA. Our amplification strategy included a conserved internal control target to minimize false negative results and can be completed in less than 5 h. We have genotyped over 4,000 animals to establish allele frequencies from colonies all over the western hemisphere. The ability to identify MHC-defined rhesus macaques will greatly enhance investigation of the immune responses, which are responsible for the control of viral replication. Furthermore, application of this technically simple and accurate typing method should facilitate selection, utilization, and breeding of rhesus macaques for AIDS virus pathogenesis and vaccine studies.     

Elucidating cryptic dynamics of Theileria communities in African buffalo using a high‐throughput sequencing informatics approach

1. Increasing access to next‐generation sequencing (NGS) technologies is revolutionizing the life sciences. In disease ecology, NGS‐based methods have the potential to provide higher‐resolution data on communities of parasites found in individual hosts as well as host populations.
2. Here, we demonstrate how a novel analytical method, utilizing high‐throughput sequencing of PCR amplicons, can be used to explore variation in blood‐borne parasite (Theileria—Apicomplexa: Piroplasmida) communities of African buffalo at higher resolutions than has been obtained with conventional molecular tools.
3. Results reveal temporal patterns of synchronized and opposite fluctuations of prevalence and relative abundance of Theileria spp. within the host population, suggesting heterogeneous transmission across taxa. Furthermore, we show that the community composition of Theileria spp. and their subtypes varies considerably between buffalo, with differences in composition reflected in mean and variance of overall parasitemia, thereby showing potential to elucidate previously unexplained contrasts in infection outcomes for host individuals.
4. Importantly, our methods are generalizable as they can be utilized to describe blood‐borne parasite communities in any host species. Furthermore, our methodological framework can be adapted to any parasite system given the appropriate genetic marker.
5. The findings of this study demonstrate how a novel NGS‐based analytical approach can provide fine‐scale, quantitative data, unlocking opportunities for discovery in disease ecology.

     

Pairwise dependence diagnostics for clustered failure-time data

Frailty and copula models specify a parametric dependence structurefor multivariate failure-time data. Estimation of some jointquantities can be highly sensitive to the assumed parametricform, and hence model fit is an important issue. This paperlays out a general diagnostic framework for evaluating and selectingfrailty and copula models. The approach is based on the cumulativesum of residuals that are calculated in bivariate time. Theresiduals reflect the difference between the observed and expectedbivariate association structures. The proposed model-checkingprocess is interpretable with a limiting distribution whichcan be approximated using the bootstrap. Simulations and a dataexample illustrate the practical application of the method.