Kiruwa Fatma Hussein, Mutiga Samuel, Njuguna Joyce, Machuka Eunice, Senay Senait, Feyissa Tileye, Ndakidemi Patrick Alois, Stomeo Francesca
Tanzania Agricultural Research Institute (TARI) Tengeru Sub Center, P. O. Box 1253, Arusha, Tanzania.
Biosciences eastern and central Africa-International Livestock Research Institute (BecA-ILRI) Hub, P.O. Box 30709-00100, Nairobi, Kenya.
Pathogens. 2019 Dec 18;9(1):4. doi: 10.3390/pathogens9010004.
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 (MCMV) detected the virus in the majority (97%) of the samples (=223). Analysis of a subset (=48) of the samples using NGS-Illumina Miseq detected MCMV and (SCMV) at a co-infection of 62%. The analysis further detected with an 8% incidence in samples where MCMV and SCMV were also detected. In addition, signatures of and 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 ( = 0.0012) and villages ( < 0.0001) but not across AEZs ( > 0.05). The study shows changing MLN dynamicsin Tanzania and emphasizes the need for regional scientists to utilize farmers' awareness in managing the disease.
植物病害的可持续控制需要深入了解流行病学方面的知识,例如致病病原体的生物学特性。在本研究中,我们使用逆转录聚合酶链反应(RT-PCR)和下一代测序(NGS)技术,以有助于对玉米致死坏死(MLN)病毒进行特征描述,并识别其他可能对坦桑尼亚玉米生产构成未来威胁的病毒。对玉米褪绿斑驳病毒(MCMV)进行RT-PCR检测,在大多数(97%)的样本(n = 2287)中检测到了该病毒。使用NGS-illumina Miseq对一部分样本(n = 48)进行分析,检测到MCMV和甘蔗花叶病毒(SCMV)的共感染率为62%。该分析还在同时检测到MCMV和SCMV的样本中,以8%的发生率检测到了玉米线条病毒(MaLV)。此外,还检测到了低覆盖率的烟草花叶病毒(TMV)和黄瓜花叶病毒(CMV)的特征序列。对病毒外壳蛋白进行系统发育分析表明,MCMV和SCMV的分离株与先前在东非和中国河北报道的分离株相似。除了特征描述外,我们还通过农民访谈和直接田间观察,深入了解了乞力马扎罗、马亚拉和阿鲁沙不同农业生态区(AEZ)的MLN状况。通过调查,我们发现MLN的流行率在不同地区(p = 0.0012)和村庄(p < 0.0001)存在差异,但在不同农业生态区之间没有差异(p > 0.05)。该研究表明坦桑尼亚的MLN动态正在发生变化,并强调区域科学家需要利用农民的认识来管理这种疾病。