Among the most common forms of interaction between species are those between hosts and their parasites and they have important implications for evolutionary theory. Understanding both the phenotypic and genotypic processes governing such interactions is a major endeavour in biology, but is a complex and challenging task. The development of next generation sequencing technologies has recently opened up this field from a molecular perspective, allowing us access to the genomic data underlying laboratory or wild phenotypes. The data obtained from such technologies has many advantages over previous methods, such as being more abundant, often more accurate, less labour intensive to generate and more cost effective to produce. We present a review of the impact of next generation sequencing data on the study of host-parasite evolution and current topics being explored with this data. We focus on two main data types, genomic and transcriptomic. We discuss popular computational approaches which can help us characterise the molecular forces driving host-parasite systems and highlight some studies which have utilised such approaches to gain information about particular immune processes. We furthermore highlight some promising perspectives from emerging and new technologies which will allow researchers to reach a deeper understanding of these interactions.
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http://dx.doi.org/10.1016/j.zool.2016.06.010 | DOI Listing |
Hum Genomics
January 2025
Population Health Program, QIMR Berghofer Medical Research Institute, Herston, QLD, 4006, Australia.
Background: TP53 variant classification benefits from the availability of large-scale functional data for missense variants generated using cDNA-based assays. However, absence of comprehensive splicing assay data for TP53 confounds the classification of the subset of predicted missense and synonymous variants that are also predicted to alter splicing. Our study aimed to generate and apply splicing assay data for a prioritised group of 59 TP53 predicted missense or synonymous variants that are also predicted to affect splicing by either SpliceAI or MaxEntScan.
View Article and Find Full Text PDFJ Transl Med
January 2025
Structure of Innovative Therapies for Abdominal Metastases, Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", via M. Semmola, Naples, 80131, Italy.
BMC Cancer
January 2025
Department of Tumor Biology and Genetics, Medical University of Warsaw, Warsaw, Poland.
Aim: The study was designed to evaluate molecular alterations, relevant to the prognosis and personalized therapy of salivary gland cancers (SGCs).
Materials And Methods: DNA was extracted from archival tissue of 40 patients with various SGCs subtypes. A targeted next-generation sequencing (NGS) panel was used for the identification of small-scale mutations, focal and chromosomal arm-level copy number changes.
BMC Genomics
January 2025
Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
The influx of whole genome sequencing (WGS) data in the public health and clinical diagnostic sectors has created a need for data analysis methods and bioinformatics expertise, which can be a bottleneck for many laboratories. At Sciensano, the Belgian national public health institute, an intuitive and user-friendly bioinformatics tool portal was implemented using Galaxy, an open-source platform for data analysis and workflow creation. The Galaxy @Sciensano instance is available to both internal and external scientists and offers a wide range of tools provided by the community, complemented by over 50 custom tools and pipelines developed in-house.
View Article and Find Full Text PDFNat Genet
January 2025
Hoffmann Lab, Leibniz Institute on Aging-Fritz Lipmann Institute (FLI), Jena, Germany.
Convergent transcription, that is, the collision of sense and antisense transcription, is ubiquitous in mammalian genomes and believed to diminish RNA expression. Recently, antisense transcription downstream of promoters was found to be surprisingly prevalent. However, functional characteristics of affected promoters are poorly investigated.
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