
Ravi Mural
Research Assistant Professor Center for Plant Science Innovation
Ravi V. Mural is a Research Assistant Professor affiliated with the Schnable Lab within the Center for Plant Science Innovation. Ravi joined the lab as a postdoc in 2019 after completing his PhD working in soybean breeding. He leads our collaboration with the Hanseup Lab at the University of Utah working on field deployable microsensors. In addition, Ravi is working to study pleiotropy and genotype by environment interactions by mining data from widely used association populations.
Primary Projects
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Using Multi-Environment Multi-Trait GWAS to Disambiguate Pleiotropic Relationships in Maize and Sorghum.
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Dissecting Genetic Architecture of Various Quantitative Traits Including Plasticity Across Environments.
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Cross Environment Predictions of Quantitative Traits Using Genomic and Phenomic Prediction Models.
Recent Publications
- Transcripts and genomic intervals associated with variation in metabolite abundance in maize leaves under field conditions. BMC Genomics doi: 10.1186/s12864-025-11580-3 bioRxiv doi: 10.1101/2024.08.26.609532 (2025)
- Off-the-shelf image analysis models outperform human visual assessment in identifying genes controlling seed color variation in sorghum. The Plant Phenome Journal doi: 10.1002/ppj2.70013 bioRxiv doi: 10.1101/2024.07.22.604683 (2025)
- Genetic and environmental patterns underlying phenotypic plasticity in flowering time and plant height in sorghum. Plant, Cell and Environment doi: 10.1111/pce.15213 (2024)
- Dissecting the genetic architecture of sunflower disc diameter using genome-wide association study. Plant Direct doi: 10.1002/pld3.70010 (2024)
- Nonphotochemical quenching kinetics GWAS in sorghum identifies genes that may play conserved roles in maize and Arabidopsis thaliana photoprotection. The Plant Journal doi: 10.1111/tpj.16967 bioRxiv doi: 10.1101/2023.08.29.555201 (2024)
- Genomic co-localization of variation affecting agronomic and human gut microbiome traits in a meta-analysis of diverse sorghum. doi: 10.1093/g3journal/jkae145 bioRxiv doi: 10.1101/2023.09.20.558616 (2024)
- Population level gene expression can repeatedly link genes to functions in maize. The Plant Journal doi: 10.1101/2023.10.31.565032 bioRxiv doi: 10.1101/2023.10.31.565032 (2024)
- Localization of crop damage utilizing a wake up gas sensor network. Transducers 2023 (2023)
- A common resequencing-based genetic marker dataset for global maize diversity. The Plant Journal doi: 10.1111/tpj.16123 (2023)
- Field deployment of a nanogap gas sensor for crop damage detection. MEMS 2022 doi: 10.1109/MEMS51670.2022.9699614 (2022)
- SNP Discovery in Proso millet (Panicum miliaceum L.) using low-pass genome sequencing. Panicum miliaceum doi: 10.1002/pld3.447 (2022)
- Can the grains offer each other helping hands? Convergent molecular mechanisms associated with domestication and crop improvement in rice and maize. Molecular Plant doi: 10.1016/j.molp.2022.04.003 (2022)
- Association mapping across a multitude of traits collected in diverse environments identifies pleiotropic loci in maize. Gigascience doi: 10.1093/gigascience/giac080 bioRxiv doi: 10.1101/2022.02.25.480753 (2022)
- Development of a gas sensor for green leaf volatile detection. Transducers 2021 doi: 10.1109/Transducers50396.2021.9495597 (2021)
- Quantitative resistance loci to southern rust mapped in a temperate maize diversity panel. Phytopathology doi: 10.1101/2021.04.02.438220 bioRxiv doi: 10.1101/2021.04.02.438220 (2021)
- Meta-analysis identifies pleiotropic loci controlling phenotypic trade-offs in sorghum. Genetics doi: 10.1093/genetics/iyab087 bioRxiv doi: 10.1101/2020.10.27.355495 (2021)