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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Main Authors: Kiruwa, F.H., Mutiga, Samuel K., Njuguna, Joyce N., Machuka, Eunice M., Senay, S., Feyissa, T., Ndakidemi, P.A., Stomeo, Francesca
Format: Journal Article
Language:Inglés
Published: MDPI 2019
Subjects:
Online Access:https://hdl.handle.net/10568/106578
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author Kiruwa, F.H.
Mutiga, Samuel K.
Njuguna, Joyce N.
Machuka, Eunice M.
Senay, S.
Feyissa, T.
Ndakidemi, P.A.
Stomeo, Francesca
author_browse Feyissa, T.
Kiruwa, F.H.
Machuka, Eunice M.
Mutiga, Samuel K.
Ndakidemi, P.A.
Njuguna, Joyce N.
Senay, S.
Stomeo, Francesca
author_facet Kiruwa, F.H.
Mutiga, Samuel K.
Njuguna, Joyce N.
Machuka, Eunice M.
Senay, S.
Feyissa, T.
Ndakidemi, P.A.
Stomeo, Francesca
author_sort Kiruwa, F.H.
collection Repository of Agricultural Research Outputs (CGSpace)
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 CGSpace1065782025-12-02T10:59:51Z Status and epidemiology of maize lethal necrotic disease in northern Tanzania Kiruwa, F.H. Mutiga, Samuel K. Njuguna, Joyce N. Machuka, Eunice M. Senay, S. Feyissa, T. Ndakidemi, P.A. Stomeo, Francesca plant diseases sustainable agriculture maize maize mosaic virus crops epidemiology 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. 2019-12-18 2020-01-15T13:44:31Z 2020-01-15T13:44:31Z Journal Article https://hdl.handle.net/10568/106578 en Open Access MDPI Kiruwa, F.H., Mutiga, S., Njuguna, J., Machuka, E., Senay, S., Feyissa, T., Ndakidemi, P.A. and Stomeo, F. 2020. Status and epidemiology of maize lethal necrotic disease in northern Tanzania. Pathogens 9:1-15.
spellingShingle plant diseases
sustainable agriculture
maize
maize mosaic virus
crops
epidemiology
Kiruwa, F.H.
Mutiga, Samuel K.
Njuguna, Joyce N.
Machuka, Eunice M.
Senay, S.
Feyissa, T.
Ndakidemi, P.A.
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 plant diseases
sustainable agriculture
maize
maize mosaic virus
crops
epidemiology
url https://hdl.handle.net/10568/106578
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