Cargando…
Potential worldwide distribution of Fusarium dry root rot in common beans based on the optimal environment for disease occurrence
Root rots are a constraint for staple food crops and a long-lasting food security problem worldwide. In common beans, yield losses originating from root damage are frequently attributed to dry root rot, a disease caused by the Fusarium solani species complex. The aim of this study was to model the c...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5673228/ https://www.ncbi.nlm.nih.gov/pubmed/29107985 http://dx.doi.org/10.1371/journal.pone.0187770 |
_version_ | 1783276568009768960 |
---|---|
author | Macedo, Renan Sales, Lilian Patrícia Yoshida, Fernanda Silva-Abud, Lidianne Lemes Lobo, Murillo |
author_facet | Macedo, Renan Sales, Lilian Patrícia Yoshida, Fernanda Silva-Abud, Lidianne Lemes Lobo, Murillo |
author_sort | Macedo, Renan |
collection | PubMed |
description | Root rots are a constraint for staple food crops and a long-lasting food security problem worldwide. In common beans, yield losses originating from root damage are frequently attributed to dry root rot, a disease caused by the Fusarium solani species complex. The aim of this study was to model the current potential distribution of common bean dry root rot on a global scale and to project changes based on future expectations of climate change. Our approach used a spatial proxy of the field disease occurrence, instead of solely the pathogen distribution. We modeled the pathogen environmental requirements in locations where in-situ inoculum density seems ideal for disease manifestation. A dataset of 2,311 soil samples from commercial farms assessed from 2002 to 2015 allowed us to evaluate the environmental conditions associated with the pathogen’s optimum inoculum density for disease occurrence, using a lower threshold as a spatial proxy. We encompassed not only the optimal conditions for disease occurrence but also the optimal pathogen’s density required for host infection. An intermediate inoculum density of the pathogen was the best disease proxy, suggesting density-dependent mechanisms on host infection. We found a strong convergence on the environmental requirements of both the host and the disease development in tropical areas, mostly in Brazil, Central America, and African countries. Precipitation and temperature variables were important for explaining the disease occurrence (from 17.63% to 43.84%). Climate change will probably move the disease toward cooler regions, which in Brazil are more representative of small-scale farming, although an overall shrink in total area (from 48% to 49% in 2050 and 26% to 41% in 2070) was also predicted. Understanding pathogen distribution and disease risks in an evolutionary context will therefore support breeding for resistance programs and strategies for dry root rot management in common beans. |
format | Online Article Text |
id | pubmed-5673228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56732282017-11-18 Potential worldwide distribution of Fusarium dry root rot in common beans based on the optimal environment for disease occurrence Macedo, Renan Sales, Lilian Patrícia Yoshida, Fernanda Silva-Abud, Lidianne Lemes Lobo, Murillo PLoS One Research Article Root rots are a constraint for staple food crops and a long-lasting food security problem worldwide. In common beans, yield losses originating from root damage are frequently attributed to dry root rot, a disease caused by the Fusarium solani species complex. The aim of this study was to model the current potential distribution of common bean dry root rot on a global scale and to project changes based on future expectations of climate change. Our approach used a spatial proxy of the field disease occurrence, instead of solely the pathogen distribution. We modeled the pathogen environmental requirements in locations where in-situ inoculum density seems ideal for disease manifestation. A dataset of 2,311 soil samples from commercial farms assessed from 2002 to 2015 allowed us to evaluate the environmental conditions associated with the pathogen’s optimum inoculum density for disease occurrence, using a lower threshold as a spatial proxy. We encompassed not only the optimal conditions for disease occurrence but also the optimal pathogen’s density required for host infection. An intermediate inoculum density of the pathogen was the best disease proxy, suggesting density-dependent mechanisms on host infection. We found a strong convergence on the environmental requirements of both the host and the disease development in tropical areas, mostly in Brazil, Central America, and African countries. Precipitation and temperature variables were important for explaining the disease occurrence (from 17.63% to 43.84%). Climate change will probably move the disease toward cooler regions, which in Brazil are more representative of small-scale farming, although an overall shrink in total area (from 48% to 49% in 2050 and 26% to 41% in 2070) was also predicted. Understanding pathogen distribution and disease risks in an evolutionary context will therefore support breeding for resistance programs and strategies for dry root rot management in common beans. Public Library of Science 2017-11-06 /pmc/articles/PMC5673228/ /pubmed/29107985 http://dx.doi.org/10.1371/journal.pone.0187770 Text en © 2017 Macedo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Macedo, Renan Sales, Lilian Patrícia Yoshida, Fernanda Silva-Abud, Lidianne Lemes Lobo, Murillo Potential worldwide distribution of Fusarium dry root rot in common beans based on the optimal environment for disease occurrence |
title | Potential worldwide distribution of Fusarium dry root rot in common beans based on the optimal environment for disease occurrence |
title_full | Potential worldwide distribution of Fusarium dry root rot in common beans based on the optimal environment for disease occurrence |
title_fullStr | Potential worldwide distribution of Fusarium dry root rot in common beans based on the optimal environment for disease occurrence |
title_full_unstemmed | Potential worldwide distribution of Fusarium dry root rot in common beans based on the optimal environment for disease occurrence |
title_short | Potential worldwide distribution of Fusarium dry root rot in common beans based on the optimal environment for disease occurrence |
title_sort | potential worldwide distribution of fusarium dry root rot in common beans based on the optimal environment for disease occurrence |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5673228/ https://www.ncbi.nlm.nih.gov/pubmed/29107985 http://dx.doi.org/10.1371/journal.pone.0187770 |
work_keys_str_mv | AT macedorenan potentialworldwidedistributionoffusariumdryrootrotincommonbeansbasedontheoptimalenvironmentfordiseaseoccurrence AT saleslilianpatricia potentialworldwidedistributionoffusariumdryrootrotincommonbeansbasedontheoptimalenvironmentfordiseaseoccurrence AT yoshidafernanda potentialworldwidedistributionoffusariumdryrootrotincommonbeansbasedontheoptimalenvironmentfordiseaseoccurrence AT silvaabudlidiannelemes potentialworldwidedistributionoffusariumdryrootrotincommonbeansbasedontheoptimalenvironmentfordiseaseoccurrence AT lobomurillo potentialworldwidedistributionoffusariumdryrootrotincommonbeansbasedontheoptimalenvironmentfordiseaseoccurrence |