Current analysis of host-parasite interactions with a focus on next generation sequencing data

Zoology (Jena). 2016 Aug;119(4):298-306. doi: 10.1016/j.zool.2016.06.010. Epub 2016 Jun 30.

Abstract

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.

Keywords: Genomics; Host–parasite interaction; Next generation sequencing; Transcriptomics.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biological Evolution
  • Computer Simulation*
  • Gene Expression Regulation / immunology
  • Host-Parasite Interactions / genetics*
  • Host-Parasite Interactions / immunology*
  • Models, Immunological*
  • Nucleic Acid Amplification Techniques / methods*