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Network Analysis of the Papaya Orchard Virome from Two Agroecological Regions of Chiapas, Mexico

The study of complex ecological interactions, such as those among host, pathogen, and vector communities, can help to explain host ranges and the emergence of novel pathogens. We evaluated the viromes of papaya orchards, including weed and insect viromes, to identify common viruses in intensive prod...

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Autores principales: Alcalá-Briseño, Ricardo I., Casarrubias-Castillo, Kena, López-Ley, Diana, Garrett, Karen A., Silva-Rosales, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6967384/
https://www.ncbi.nlm.nih.gov/pubmed/31937673
http://dx.doi.org/10.1128/mSystems.00423-19
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author Alcalá-Briseño, Ricardo I.
Casarrubias-Castillo, Kena
López-Ley, Diana
Garrett, Karen A.
Silva-Rosales, Laura
author_facet Alcalá-Briseño, Ricardo I.
Casarrubias-Castillo, Kena
López-Ley, Diana
Garrett, Karen A.
Silva-Rosales, Laura
author_sort Alcalá-Briseño, Ricardo I.
collection PubMed
description The study of complex ecological interactions, such as those among host, pathogen, and vector communities, can help to explain host ranges and the emergence of novel pathogens. We evaluated the viromes of papaya orchards, including weed and insect viromes, to identify common viruses in intensive production of papaya in the Pacific Coastal Plain and the Central Depression of Chiapas, Mexico. Samples of papaya cultivar Maradol, susceptible to papaya ringspot virus (PRSV), were categorized by symptoms by local farmers (papaya ringspot symptoms, non-PRSV symptoms, or asymptomatic). These analyses revealed the presence of 61 viruses, where only 4 species were shared among both regions, 16 showed homology to known viruses, and 36 were homologous with genera including Potyvirus, Comovirus, and Tombusvirus (RNA viruses) and Begomovirus and Mastrevirus (DNA viruses). We analyzed the network of associations between viruses and host-location combinations, revealing ecological properties of the network, such as an asymmetric nested pattern, and compared the observed network to null models of network association. Understanding the network structure informs management strategies, for example, revealing the potential role of PRSV in asymptomatic papaya and that weeds may be an important pathogen reservoir. We identify three key management implications: (i) each region may need a customized management strategy; (ii) visual assessment of papaya may be insufficient for PRSV, requiring diagnostic assays; and (iii) weed control within orchards may reduce the risk of virus spread to papaya. Network analysis advances understanding of host-pathogen interactions in the agroecological landscape. IMPORTANCE Virus-virus interactions in plants can modify host symptoms. As a result, disease management strategies may be unsuccessful if they are based solely on visual assessment and diagnostic assays for known individual viruses. Papaya ringspot virus is an important limiting factor for papaya production and likely has interactions with other viruses that are not yet known. Using high-throughput sequencing, we recovered known and novel RNA and DNA viruses from papaya orchards in Chiapas, Mexico, and categorized them by host and, in the case of papaya, symptom type: asymptomatic papaya, papaya with ringspot virus symptoms, papaya with nonringspot symptoms, weeds, and insects. Using network analysis, we demonstrated virus associations within and among host types and described the ecological community patterns. Recovery of viruses from weeds and asymptomatic papaya suggests the need for additional management attention. These analyses contribute to the understanding of the community structure of viruses in the agroecological landscape.
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spelling pubmed-69673842020-02-03 Network Analysis of the Papaya Orchard Virome from Two Agroecological Regions of Chiapas, Mexico Alcalá-Briseño, Ricardo I. Casarrubias-Castillo, Kena López-Ley, Diana Garrett, Karen A. Silva-Rosales, Laura mSystems Research Article The study of complex ecological interactions, such as those among host, pathogen, and vector communities, can help to explain host ranges and the emergence of novel pathogens. We evaluated the viromes of papaya orchards, including weed and insect viromes, to identify common viruses in intensive production of papaya in the Pacific Coastal Plain and the Central Depression of Chiapas, Mexico. Samples of papaya cultivar Maradol, susceptible to papaya ringspot virus (PRSV), were categorized by symptoms by local farmers (papaya ringspot symptoms, non-PRSV symptoms, or asymptomatic). These analyses revealed the presence of 61 viruses, where only 4 species were shared among both regions, 16 showed homology to known viruses, and 36 were homologous with genera including Potyvirus, Comovirus, and Tombusvirus (RNA viruses) and Begomovirus and Mastrevirus (DNA viruses). We analyzed the network of associations between viruses and host-location combinations, revealing ecological properties of the network, such as an asymmetric nested pattern, and compared the observed network to null models of network association. Understanding the network structure informs management strategies, for example, revealing the potential role of PRSV in asymptomatic papaya and that weeds may be an important pathogen reservoir. We identify three key management implications: (i) each region may need a customized management strategy; (ii) visual assessment of papaya may be insufficient for PRSV, requiring diagnostic assays; and (iii) weed control within orchards may reduce the risk of virus spread to papaya. Network analysis advances understanding of host-pathogen interactions in the agroecological landscape. IMPORTANCE Virus-virus interactions in plants can modify host symptoms. As a result, disease management strategies may be unsuccessful if they are based solely on visual assessment and diagnostic assays for known individual viruses. Papaya ringspot virus is an important limiting factor for papaya production and likely has interactions with other viruses that are not yet known. Using high-throughput sequencing, we recovered known and novel RNA and DNA viruses from papaya orchards in Chiapas, Mexico, and categorized them by host and, in the case of papaya, symptom type: asymptomatic papaya, papaya with ringspot virus symptoms, papaya with nonringspot symptoms, weeds, and insects. Using network analysis, we demonstrated virus associations within and among host types and described the ecological community patterns. Recovery of viruses from weeds and asymptomatic papaya suggests the need for additional management attention. These analyses contribute to the understanding of the community structure of viruses in the agroecological landscape. American Society for Microbiology 2020-01-14 /pmc/articles/PMC6967384/ /pubmed/31937673 http://dx.doi.org/10.1128/mSystems.00423-19 Text en Copyright © 2020 Alcalá-Briseño et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Alcalá-Briseño, Ricardo I.
Casarrubias-Castillo, Kena
López-Ley, Diana
Garrett, Karen A.
Silva-Rosales, Laura
Network Analysis of the Papaya Orchard Virome from Two Agroecological Regions of Chiapas, Mexico
title Network Analysis of the Papaya Orchard Virome from Two Agroecological Regions of Chiapas, Mexico
title_full Network Analysis of the Papaya Orchard Virome from Two Agroecological Regions of Chiapas, Mexico
title_fullStr Network Analysis of the Papaya Orchard Virome from Two Agroecological Regions of Chiapas, Mexico
title_full_unstemmed Network Analysis of the Papaya Orchard Virome from Two Agroecological Regions of Chiapas, Mexico
title_short Network Analysis of the Papaya Orchard Virome from Two Agroecological Regions of Chiapas, Mexico
title_sort network analysis of the papaya orchard virome from two agroecological regions of chiapas, mexico
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6967384/
https://www.ncbi.nlm.nih.gov/pubmed/31937673
http://dx.doi.org/10.1128/mSystems.00423-19
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