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Rapid emergence of pathogens in agro-ecosystems: global threats to agricultural sustainability and food security

Identifieur interne : 000608 ( Main/Exploration ); précédent : 000607; suivant : 000609

Rapid emergence of pathogens in agro-ecosystems: global threats to agricultural sustainability and food security

Auteurs : Bruce A. Mcdonald [Suisse] ; Eva H. Stukenbrock [Allemagne]

Source :

RBID : PMC:5095548

Abstract

Agricultural ecosystems are composed of genetically depauperate populations of crop plants grown at a high density and over large spatial scales, with the regional composition of crop species changing little from year to year. These environments are highly conducive for the emergence and dissemination of pathogens. The uniform host populations facilitate the specialization of pathogens to particular crop cultivars and allow the build-up of large population sizes. Population genetic and genomic studies have shed light on the evolutionary mechanisms underlying speciation processes, adaptive evolution and long-distance dispersal of highly damaging pathogens in agro-ecosystems. These studies document the speed with which pathogens evolve to overcome crop resistance genes and pesticides. They also show that crop pathogens can be disseminated very quickly across and among continents through human activities. In this review, we discuss how the peculiar architecture of agro-ecosystems facilitates pathogen emergence, evolution and dispersal. We present four example pathosystems that illustrate both pathogen specialization and pathogen speciation, including different time frames for emergence and different mechanisms underlying the emergence process. Lastly, we argue for a re-design of agro-ecosystems that embraces the concept of dynamic diversity to improve their resilience to pathogens. This article is part of the themed issue ‘Tackling emerging fungal threats to animal health, food security and ecosystem resilience’.


Url:
DOI: 10.1098/rstb.2016.0026
PubMed: 28080995
PubMed Central: 5095548


Affiliations:


Links toward previous steps (curation, corpus...)


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