Specialization for resistance in wild host-pathogen interaction networks

Properties encompassed by host-pathogen interaction networks have potential to give valuable insight into the evolution of specialization and coevolutionary dynamics in host-pathogen interactions. However, network approaches have been rarely utilized in previous studies of host and pathogen phenotyp...

Full description

Bibliographic Details
Main Authors: Luke eBarrett, Francisco eEncinas-Viso, Peter Holmes Thrall, Jeremy eBurdon
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-09-01
Series:Frontiers in Plant Science
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpls.2015.00761/full
id doaj-215e327ce7624d89b5ff9b0f446b2159
record_format Article
spelling doaj-215e327ce7624d89b5ff9b0f446b21592020-11-24T22:20:52ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2015-09-01610.3389/fpls.2015.00761150658Specialization for resistance in wild host-pathogen interaction networksLuke eBarrett0Francisco eEncinas-Viso1Peter Holmes Thrall2Jeremy eBurdon3CSIROCSIROCSIROCSIROProperties encompassed by host-pathogen interaction networks have potential to give valuable insight into the evolution of specialization and coevolutionary dynamics in host-pathogen interactions. However, network approaches have been rarely utilized in previous studies of host and pathogen phenotypic variation. Here we applied quantitative analyses to eight networks derived from spatially and temporally segregated host (Linum marginale) and pathogen (Melampsora lini) populations. First, we found that resistance strategies are highly variable within and among networks, corresponding to a spectrum of specialist and generalist resistance types being maintained within all networks. At the individual level, specialization was strongly linked to partial resistance, such that partial resistance was effective against a greater number of pathogens compared to full resistance. Second, we found that all networks were significantly nested. There was little support for the hypothesis that temporal evolutionary dynamics may lead to the development of nestedness in host-pathogen infection networks. Rather, the common patterns observed in terms of nestedness suggests a universal driver (or multiple drivers) that may be independent of spatial and temporal structure. Third, we found that resistance networks were significantly modular in two spatial networks, clearly reflecting spatial and ecological structure within one of the networks. We conclude that (1) overall patterns of specialization in the networks we studied mirror evolutionary trade-offs with the strength of resistance; (2) that specific network architecture can emerge under different evolutionary scenarios; and (3) network approaches offer great utility as a tool for probing the evolutionary and ecological genetics of host-pathogen interactions.http://journal.frontiersin.org/Journal/10.3389/fpls.2015.00761/fullGeographyInfectionVirulenceTemporalResistancelocal adaptation
collection DOAJ
language English
format Article
sources DOAJ
author Luke eBarrett
Francisco eEncinas-Viso
Peter Holmes Thrall
Jeremy eBurdon
spellingShingle Luke eBarrett
Francisco eEncinas-Viso
Peter Holmes Thrall
Jeremy eBurdon
Specialization for resistance in wild host-pathogen interaction networks
Frontiers in Plant Science
Geography
Infection
Virulence
Temporal
Resistance
local adaptation
author_facet Luke eBarrett
Francisco eEncinas-Viso
Peter Holmes Thrall
Jeremy eBurdon
author_sort Luke eBarrett
title Specialization for resistance in wild host-pathogen interaction networks
title_short Specialization for resistance in wild host-pathogen interaction networks
title_full Specialization for resistance in wild host-pathogen interaction networks
title_fullStr Specialization for resistance in wild host-pathogen interaction networks
title_full_unstemmed Specialization for resistance in wild host-pathogen interaction networks
title_sort specialization for resistance in wild host-pathogen interaction networks
publisher Frontiers Media S.A.
series Frontiers in Plant Science
issn 1664-462X
publishDate 2015-09-01
description Properties encompassed by host-pathogen interaction networks have potential to give valuable insight into the evolution of specialization and coevolutionary dynamics in host-pathogen interactions. However, network approaches have been rarely utilized in previous studies of host and pathogen phenotypic variation. Here we applied quantitative analyses to eight networks derived from spatially and temporally segregated host (Linum marginale) and pathogen (Melampsora lini) populations. First, we found that resistance strategies are highly variable within and among networks, corresponding to a spectrum of specialist and generalist resistance types being maintained within all networks. At the individual level, specialization was strongly linked to partial resistance, such that partial resistance was effective against a greater number of pathogens compared to full resistance. Second, we found that all networks were significantly nested. There was little support for the hypothesis that temporal evolutionary dynamics may lead to the development of nestedness in host-pathogen infection networks. Rather, the common patterns observed in terms of nestedness suggests a universal driver (or multiple drivers) that may be independent of spatial and temporal structure. Third, we found that resistance networks were significantly modular in two spatial networks, clearly reflecting spatial and ecological structure within one of the networks. We conclude that (1) overall patterns of specialization in the networks we studied mirror evolutionary trade-offs with the strength of resistance; (2) that specific network architecture can emerge under different evolutionary scenarios; and (3) network approaches offer great utility as a tool for probing the evolutionary and ecological genetics of host-pathogen interactions.
topic Geography
Infection
Virulence
Temporal
Resistance
local adaptation
url http://journal.frontiersin.org/Journal/10.3389/fpls.2015.00761/full
work_keys_str_mv AT lukeebarrett specializationforresistanceinwildhostpathogeninteractionnetworks
AT franciscoeencinasviso specializationforresistanceinwildhostpathogeninteractionnetworks
AT peterholmesthrall specializationforresistanceinwildhostpathogeninteractionnetworks
AT jeremyeburdon specializationforresistanceinwildhostpathogeninteractionnetworks
_version_ 1725773431244324864