Benha University

Asmaa Mansour Ahmed Mansour

Asst. Lecturer

Faculty of Agriculture Genetics

Utilizing In-Silico Techniques for Synthesizing bDNA for Crop Disease Diagnosis

Annals of Agricultural Science, Moshtohor (ASSJM) • 2024
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Publication Information
Authors Asmaa M. A. zeama, Mohamed H. Refaat, Hoda A.S. El-Garhy, Sh. D. Ibrahim, Mohamed F. Foda
Keywords BDNA; in-silico; nanotechnology; Y and X-shape; 3D modeling
Journal Annals of Agricultural Science, Moshtohor (ASSJM)
Publisher Asmaa Mansour
Volume 62
Issue Not Available
Pages 20
publication.type Local
Paper Link Open Link
Supplementary Materials Not Available
Abstract
The different DNA building block topologies include linear, circular, and branched DNA (bDNA).
Complex molecular design has led to the production of various functional nanomaterials incorporating the
significant properties of bDNA. In our study, we demonstrate two different methods for topology sampling of
bDNA in modeling. The first method consists of sampling Ralstonia solanacearum cells and culturing them in a
nutrient medium. The propagated cells are then stored from which their DNA is collected, and sequenced to
form Y and X-shaped bDNA. The second method only took an in-silico approach where we formed branches Y
and X of DNA in 3D mode using bioinformatics retainer databases. A set of sequences designed by software
comprising Maya, bio-blender, and discovery studio (DS) software that can produce 3D models. These models
will help us in the laboratory to carry out a precise laboratory simulation to detect bDNA design which can be
useful in diagnostics. Although the first trial was unsuccessful, the use of a software simulation in a second trial
was the most successful and yielded several 3D models of bDNA, which could be used in the laboratory
simulation of molecular diagnostic strains that express genes. These models were used in molecular diagnostic
assays which are sensitive, specific, and reliable tools in the detection of virulence genes of some diseases such
as fusarium oxysporum, phytphthora fragariae, and botrytis cinerea. This platform not only offers a means for
screening the potential activity of molecular diagnostics but also presents opportunities for time and cost
savings
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