4.5 Article

Status and Epidemiology of Maize Lethal Necrotic Disease in Northern Tanzania

Journal

PATHOGENS
Volume 9, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/pathogens9010004

Keywords

Maize chlorotic mottle virus; next-generation sequencing; phylogenetic analysis; MLN prevalence; Sugarcane mosaic virus

Categories

Funding

  1. Tanzania Commission for Science and Technology (COSTECH)
  2. Biosciences eastern and central Africa-International Livestock Research Institute (BecA-ILRI) Hub through the Africa Biosciences Challenge Fund (ABCF) Fellowship [BS01 NBO SID004 SID004C2 ABC 132]
  3. Australian Department for Foreign Affairs and Trade (DFAT) through the BecA-CSIRO partnership
  4. Syngenta Foundation for Sustainable Agriculture (SFSA)
  5. Bill & Melinda Gates Foundation (BMGF)
  6. UK Department for International Development (DFID)
  7. Swedish International Development Cooperation Agency (Sida)

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available