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Status and Epidemiology of Maize Lethal Necrotic Disease in Northern Tanzania

Sustainable control of plant diseases requires a good understanding of the epidemiological aspects such as the biology of the causal pathogens. In the current study, we used RT-PCR and Next Generation Sequencing (NGS) to contribute to the characterization of maize lethal necrotic (MLN) viruses and t...

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Autores principales: Kiruwa, Fatma Hussein, Mutiga, Samuel, Njuguna, Joyce, Machuka, Eunice, Senay, Senait, Feyissa, Tileye, Ndakidemi, Patrick Alois, Stomeo, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7168672/
https://www.ncbi.nlm.nih.gov/pubmed/31861452
http://dx.doi.org/10.3390/pathogens9010004
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author Kiruwa, Fatma Hussein
Mutiga, Samuel
Njuguna, Joyce
Machuka, Eunice
Senay, Senait
Feyissa, Tileye
Ndakidemi, Patrick Alois
Stomeo, Francesca
author_facet Kiruwa, Fatma Hussein
Mutiga, Samuel
Njuguna, Joyce
Machuka, Eunice
Senay, Senait
Feyissa, Tileye
Ndakidemi, Patrick Alois
Stomeo, Francesca
author_sort Kiruwa, Fatma Hussein
collection PubMed
description Sustainable control of plant diseases requires a good understanding of the epidemiological aspects such as the biology of the causal pathogens. In the current study, we used RT-PCR and Next Generation Sequencing (NGS) to contribute to the characterization of maize lethal necrotic (MLN) viruses and to identify other possible viruses that could represent a future threat in maize production in Tanzania. RT-PCR screening for Maize Chlorotic Mottle Virus (MCMV) detected the virus in the majority (97%) of the samples (n = 223). Analysis of a subset (n = 48) of the samples using NGS-Illumina Miseq detected MCMV and Sugarcane Mosaic Virus (SCMV) at a co-infection of 62%. The analysis further detected Maize streak virus with an 8% incidence in samples where MCMV and SCMV were also detected. In addition, signatures of Maize dwarf mosaic virus, Sorghum mosaic virus, Maize yellow dwarf virus-RMV and Barley yellow dwarf virus were detected with low coverage. Phylogenetic analysis of the viral coat protein showed that isolates of MCMV and SCMV were similar to those previously reported in East Africa and Hebei, China. Besides characterization, we used farmers’ interviews and direct field observations to give insights into MLN status in different agro-ecological zones (AEZs) in Kilimanjaro, Mayara, and Arusha. Through the survey, we showed that the prevalence of MLN differed across regions (P = 0.0012) and villages (P < 0.0001) but not across AEZs (P > 0.05). The study shows changing MLN dynamics in Tanzania and emphasizes the need for regional scientists to utilize farmers’ awareness in managing the disease.
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spelling pubmed-71686722020-04-20 Status and Epidemiology of Maize Lethal Necrotic Disease in Northern Tanzania Kiruwa, Fatma Hussein Mutiga, Samuel Njuguna, Joyce Machuka, Eunice Senay, Senait Feyissa, Tileye Ndakidemi, Patrick Alois Stomeo, Francesca Pathogens Article Sustainable control of plant diseases requires a good understanding of the epidemiological aspects such as the biology of the causal pathogens. In the current study, we used RT-PCR and Next Generation Sequencing (NGS) to contribute to the characterization of maize lethal necrotic (MLN) viruses and to identify other possible viruses that could represent a future threat in maize production in Tanzania. RT-PCR screening for Maize Chlorotic Mottle Virus (MCMV) detected the virus in the majority (97%) of the samples (n = 223). Analysis of a subset (n = 48) of the samples using NGS-Illumina Miseq detected MCMV and Sugarcane Mosaic Virus (SCMV) at a co-infection of 62%. The analysis further detected Maize streak virus with an 8% incidence in samples where MCMV and SCMV were also detected. In addition, signatures of Maize dwarf mosaic virus, Sorghum mosaic virus, Maize yellow dwarf virus-RMV and Barley yellow dwarf virus were detected with low coverage. Phylogenetic analysis of the viral coat protein showed that isolates of MCMV and SCMV were similar to those previously reported in East Africa and Hebei, China. Besides characterization, we used farmers’ interviews and direct field observations to give insights into MLN status in different agro-ecological zones (AEZs) in Kilimanjaro, Mayara, and Arusha. Through the survey, we showed that the prevalence of MLN differed across regions (P = 0.0012) and villages (P < 0.0001) but not across AEZs (P > 0.05). The study shows changing MLN dynamics in Tanzania and emphasizes the need for regional scientists to utilize farmers’ awareness in managing the disease. MDPI 2019-12-18 /pmc/articles/PMC7168672/ /pubmed/31861452 http://dx.doi.org/10.3390/pathogens9010004 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kiruwa, Fatma Hussein
Mutiga, Samuel
Njuguna, Joyce
Machuka, Eunice
Senay, Senait
Feyissa, Tileye
Ndakidemi, Patrick Alois
Stomeo, Francesca
Status and Epidemiology of Maize Lethal Necrotic Disease in Northern Tanzania
title Status and Epidemiology of Maize Lethal Necrotic Disease in Northern Tanzania
title_full Status and Epidemiology of Maize Lethal Necrotic Disease in Northern Tanzania
title_fullStr Status and Epidemiology of Maize Lethal Necrotic Disease in Northern Tanzania
title_full_unstemmed Status and Epidemiology of Maize Lethal Necrotic Disease in Northern Tanzania
title_short Status and Epidemiology of Maize Lethal Necrotic Disease in Northern Tanzania
title_sort status and epidemiology of maize lethal necrotic disease in northern tanzania
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7168672/
https://www.ncbi.nlm.nih.gov/pubmed/31861452
http://dx.doi.org/10.3390/pathogens9010004
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