scholarly journals Maize dwarf mosaic virus diversity in the Johnsongrass native reservoir and in maize: evidence of geographical, host and temporal differentiation

2010 ◽  
Vol 60 (2) ◽  
pp. 369-377 ◽  
Author(s):  
M. A. Achon ◽  
N. Alonso-Dueñas ◽  
L. Serrano
Author(s):  

Abstract A new distribution map is provided for Maize dwarf mosaic virus Viruses: Potyviridae: Potyvirus Hosts: Maize (Zea mays), sorghum (Sorghum bicolor), also sugarcane (Saccharum officinarum), millet (Panicum miliaceum) and many other Poaceae. Information is given on the geographical distribution in EUROPE, Bosnia-Herzegovina, Bulgaria, Croatia, Czech Republic, France, Germany, Greece, Hungary, Italy, Romania, Central Russia Russia, Spain, Ukraine, Yugoslavia (Fed. Rep.), ASIA, China, Gansu, Hebei, Hubei, Jiangsu, Liaoning, Shaanxi, Shandong, Shanxi, India, Maharashtra, Uttar Pradesh, Iran, Iraq, Israel, Kazakhstan, Korea Republic, Pakistan, Taiwan, Turkey, Uzbekistan, Yemen, AFRICA, Burkina Faso, Cameroon, Cote d'Ivoire, Egypt, Ethiopia, Mauritius, Morocco, South Africa, Zambia, Zimbabwe, NORTH AMERICA, Canada, Ontario, Mexico, USA, Alabama, Arkansas, California, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Vermont, Virginia, Washington, Wisconsin, CENTRAL AMERICA & CARIBBEAN, Cuba, Haiti, Honduras, SOUTH AMERICA Argentina, Brazil, Goias, Minas Gerais, Sao Paulo, Chile, Colombia, Peru, Venezuela, OCEANIA, Australia, Queensland, Victoria.


1990 ◽  
Vol 26 (4) ◽  
pp. 363-368 ◽  
Author(s):  
Gy. Kovács ◽  
I. Milinkó ◽  
O. Gyulavári ◽  
L. Farády

2011 ◽  
Vol 46 (4) ◽  
pp. 362-369 ◽  
Author(s):  
Marcos Cesar Gonçalves ◽  
Diogo Manzano Galdeano ◽  
Ivan de Godoy Maia ◽  
César Martins Chagas

O objetivo deste trabalho foi caracterizar biológica e molecularmente três isolados de Sugarcane mosaic virus (SCMV) de lavouras de milho, analisá-los filogeneticamente e discriminar polimorfismos do genoma. Plantas com sintomas de mosaico e nanismo foram coletadas em lavouras de milho, no Estado de São Paulo e no Município de Rio Verde, GO, e seus extratos foliares foram inoculados em plantas indicadoras e submetidos à análise sorológica com antissoros contra o SCMV, contra o Maize dwarf mosaic virus (MDMV) e contra o Johnsongrass mosaic virus (JGMV). Mudas de sorgo 'Rio' e 'TX 2786' apresentaram sintomas de mosaico após a inoculação dos três isolados, e o DAS-ELISA confirmou a infecção pelo SCMV. O RNA total foi extraído e usado para amplificação por transcriptase reversa seguida de reação em cadeia de polimerase (RT-PCR). Fragmentos específicos foram amplificados, submetidos à análise por polimorfismo de comprimento de fragmento de restrição (RFLP) e sequenciados. Foi possível discriminar os genótipos de SCMV isolados de milho de outros isolados brasileiros do vírus. Alinhamentos múltiplos e análises dos perfis filogenéticos corroboram esses dados e mostram diversidade nas sequências de nucleotídeos que codificam para a proteína capsidial, o que explica o agrupamento separado desses isolados e sugere sua classificação como estirpes distintas, em lugar de simples isolados geográficos.


Weed Science ◽  
1993 ◽  
Vol 41 (2) ◽  
pp. 262-268 ◽  
Author(s):  
Mark J. Vangessel ◽  
Harold D. Coble

The impact of either nicosulfuron or primisulfuron on maize dwarf mosaic virus (MDMV-A) severity in corn and corn susceptibility to MDMV-A infection were evaluated in greenhouse and laboratory studies. Neither herbicide influenced severity of MDMV-A in corn or corn susceptibility to the virus. Field experiments at five sites examined MDMV-A severity in corn as influenced by POST johnsongrass control with either nicosulfuron or primisulfuron applied at the fifth or eighth visible collar stage, no johnsongrass control, or johnsongrass control throughout the season with hoeing. Area under the cumulative virus curve (AUCVC) was reduced when either herbicide was applied at the fifth-leaf stage compared to the eighth-leaf stage, at four sites. Also, AUCVC was reduced when johnsongrass was controlled with a POST herbicide applied at the fifth or eighth collar stage compared to no control, at two sites. Increases in AUCVC were due to a greater number of infected plants rather than more severe MDMV-A infections.


Pathogens ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 4 ◽  
Author(s):  
Fatma Hussein Kiruwa ◽  
Samuel Mutiga ◽  
Joyce Njuguna ◽  
Eunice Machuka ◽  
Senait Senay ◽  
...  

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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