title: Current analysis of host-parasite interactions with a focus on next generation sequencing data.
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.
authors.affiliation: Institute for Evolution and Biodiversity, Westfälische Wilhelms Universität, Hüfferstraße 1, D-48149 Münster, Germany. Electronic address: j.greenwood@uni-muenster.de.
authors.forename: Jenny M
authors.initials: JM
authors.lastname: Greenwood
authors.affiliation: Institute for Evolution and Biodiversity, Westfälische Wilhelms Universität, Hüfferstraße 1, D-48149 Münster, Germany.
authors.forename: Alberto López
authors.initials: AL
authors.lastname: Ezquerra
authors.affiliation: Institute for Evolution and Biodiversity, Westfälische Wilhelms Universität, Hüfferstraße 1, D-48149 Münster, Germany.
authors.forename: Sarah
authors.initials: S
authors.lastname: Behrens
authors.affiliation: Institute for Evolution and Biodiversity, Westfälische Wilhelms Universität, Hüfferstraße 1, D-48149 Münster, Germany; Ecologie, Systématique et Evolution, UMR8079, Université Paris-Sud, CNRS, Université Paris-Saclay, AgroPariTech, F-91405 Orsay, France.
authors.forename: Antoine
authors.initials: A
authors.lastname: Branca
authors.affiliation: Institute for Evolution and Biodiversity, Westfälische Wilhelms Universität, Hüfferstraße 1, D-48149 Münster, Germany. Electronic address: ludovic.mallet@uni-muenster.de.
authors.forename: Ludovic
authors.initials: L
authors.lastname: Mallet
mesh_terms: D000818:Animals; D005075:Biological Evolution; D003198:Computer Simulation; D005786:Gene Expression Regulation / Q000276:immunology; D006790:Host-Parasite Interactions / Q000235:genetics* / Q000276:immunology*; D018448:Models, Immunological; D021141:Nucleic Acid Amplification Techniques / Q000379:methods*
keywords: Genomics; Host–parasite interaction; Next generation sequencing; Transcriptomics