A real-time loop-mediated isothermal amplification (LAMP) is described to diagnose cassava mosaic disease (CMD). The disease continues to cause great damage in Sub-Saharan African countries threatening food security. Early detection of the pathogen is paramount to control the spread of the disease and promote the safe exchange of clean planting material. Real-time LAMP in combination with a crude but rapid method of DNA extraction can be used to detect the two most widely distributed species of cassava mosaic geminiviruses in Sub-Saharan Africa, African cassava mosaic virus (ACMV) and East African cassava mosaic virus (EACMV), in less than 30 min at a single operation temperature (65 °C) without the need for any expensive instrumentation. Further, this protocol avoids the laborious extraction of high-quality DNA and making it suitable to be used in poorly resourced laboratories and in field settings.
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http://dx.doi.org/10.1007/978-1-0716-4454-6_13 | DOI Listing |
Methods Mol Biol
March 2025
School of Natural and Environmental Sciences, Agriculture Building, Newcastle University, Newcastle upon Tyne, UK.
A real-time loop-mediated isothermal amplification (LAMP) is described to diagnose cassava mosaic disease (CMD). The disease continues to cause great damage in Sub-Saharan African countries threatening food security. Early detection of the pathogen is paramount to control the spread of the disease and promote the safe exchange of clean planting material.
View Article and Find Full Text PDFScience
March 2025
School of Life Sciences, University of Warwick, Coventry, UK.
Manioc-also called cassava and yuca-is among the world's most important crops, originating in South America in the early Holocene. Domestication for its starchy roots involved a near-total shift from sexual to clonal propagation, and almost all manioc worldwide is now grown from stem cuttings. In this work, we analyze 573 new and published genomes, focusing on traditional varieties from the Americas and wild relatives from herbaria, to reveal the effects of this shift to clonality.
View Article and Find Full Text PDFSci Rep
February 2025
Department of Computer Science and Engineering, School of Technology, PDEU Gandhinagar, Gandhinagar, 382426, Gujarat, India.
Detecting cassava leaf disease is challenging because it is hard to identify diseases accurately through visual inspection. Even trained agricultural experts may struggle to diagnose the disease correctly which leads to potential misjudgements. Traditional methods to diagnose these diseases are time-consuming, prone to error, and require expert knowledge, making automated solutions highly preferred.
View Article and Find Full Text PDFFront Plant Sci
January 2025
Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States.
Cassava is an important root crop that is produced by smallholder farmers across Sub-Saharan Africa. Cassava mosaic disease (CMD), which is caused by a group of cassava mosaic begomoviruses (CMBs), is one of the most devastating diseases of cassava. A previous study showed that SEGS-1 (sequences enhancing geminivirus symptoms), which occur both in the cassava genome and as episomes during CMD, can increase CMD disease severity and overcome host resistance.
View Article and Find Full Text PDFVirol J
February 2025
CIRAD, UMR PVBMT F-97410, St Pierre, La Réunion, France.
Background: Cassava (Manihot esculenta, Crantz), is a staple food and the main source of calories for many populations in Africa, but the plant is beset by several damaging viruses. So far, eight families of virus infecting cassava have been identified; the Geminiviridae (ssDNA viruses responsible for cassava mosaic disease, CMD) and Potyviridae (ssRNA + viruses responsible for cassava brown streak disease, CBSD) families being the most damaging to cassava in Africa. In several cassava-growing regions, the co-existence of species and strains from these two families results in a complex epidemiological situation making it difficult to correctly identify the viruses in circulation and delaying the implementation of disease management schemes.
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