I am a research associate specializing in plant virology, grapevine diseases, and bioinformatics.
My work integrates wet-lab diagnostics with high-throughput sequencing (HTS) and computational workflows to investigate viruses, microbiomes, and plant–pathogen interactions in Vitis and Muscadinia.
- Plant virus detection & genome characterization
- Diagnostic assay development (PCR / RT-PCR / qPCR)
- HTS data processing (QC → trimming → mapping → assembly)
- Viral genome interpretation & visualization
- Microbiome profiling (16S / ITS)
- Reproducible workflow design for bioinformatics
- RNA extraction & purification
- Molecular diagnostics (PCR / RT-PCR)
- Sample QC and virology workflows
A structured academic repository providing:
- Modular HTS workflow templates
- Diagnostics method outlines
- Microbiome workflow scaffolds
- Reproducible conda environments
Built for long-term research continuity in plant virology and grapevine biotechnology.
-
Ismail A., Gajjar P., Darwish A.G., Abuslima E., Islam T., Mohamed A.G., et al. (2025).
Redox and osmotic homeostasis drive drought resilience in grapevine rootstocks.
Plant Physiology & Biochemistry, 221:109618. -
Gajjar P., Ismail A., Islam T., Moniruzzaman M., Mohamed A.G., et al. (2024).
Transcriptome profiling of the salt-excluder hybrid grapevine rootstock ‘Ruggeri’ under salinity.
Plants, 13(6):837. -
Darwish A.G., Das P.R., Olaoye E., Gajjar P., Ismail A., Mohamed A.G., et al. (2025).
Untargeted flower volatilome profiling highlights differential pollinator attraction strategies in muscadine.
Frontiers in Plant Science.
- Darwish A.G., Gajjar P., Ismail A., Park M., Moniruzzaman M., Mohamed A.G., et al.
Muscadine seed bioactive compounds as targeted therapeutics for African American triple-negative breast cancer.
Food Chemistry (Under Revision).
- Work Email: ahmed.mohamed2@famu.edu
- Google Scholar:
- Position: Research Associate, Grape Disease Diagnostics (NCPN–FL)
- Institution: Florida A&M University (FAMU), Center for Viticulture & Small Fruit Research
Developing reproducible, well-documented computational and molecular workflows to advance grapevine virus diagnostics and plant health research.