
Jonathan Arnold
Professor
Bioinformatics; Genetics
Professor, Genetics; Research interest: Fungal gene regulatory
and biochemical networks, and biological clocks.
Learn more about this group by contacting Dr. Natarajan Kannan (nkannan@uga.edu) or Dr. Shaying Zhao (szhao@uga.edu).
Systems biology is an emerging approach applied to biomedical and biological scientific research. Systems biology is a biology-based inter-disciplinary field of study that focuses on complex interactions within biological systems, using a more holistic perspective (holism instead of the more traditional reductionism) approach to biological and biomedical research.
Professor, Genetics; Research interest: Fungal gene regulatory
and biochemical networks, and biological clocks.
Invertebrate microbiomes; nematode ecology and evolution; benthic and deep-sea habitats; using environmental DNA for biomonitoring
High throughput genetics to better understand evolution of fungal pathogens and drive antifungal drug discovery.
Computational Plant Science, Phenotyping, Plant Imaging and Simulation.
Plant genome biology with a focus on crops and medicinal plants; Synthetic biology; Evolution of natural product biosynthesis
Multi-drug resistance(MDR) causes most cancer deaths(Nat. Rev. Cancer 2018, 18, 452). We use organic chemistry, cell biology and data-science to overcome MDR.
Bacterial physiology and metabolic integration using biochemical, genetic and metabolomics approaches.
Metabolomics and systems biology of Caenorhabditis elegans using NMR,
mass spec, and computational approaches.
Fermentation and biotechnology with emphasis on microbial processes to generate fuels and chemicals; nutrient-limited processes; central metabolism and the effect of redox constraints.
Zooplankton ecology, predator-prey interactions, ocean biophysical coupling, plankton imaging and analysis
(Immuno)Toxicology of nanobiomaterials and endocrine disruptors; Diabetes, prostate cancer, asthma, probiotics, microbiome; Translational study (http://www.devertigo.com)
Mechanistic analysis of parasite induced immune suppression. Translational research
on immuno-modulation pertaining to inflammation based diseases.
Vaccine development and trials.
Lipidomic and metabolomic analyses of antimicrobial resistant pathogens using ion mobility and mass spectrometry
Transcriptional and epigenetic mechanisms regulating preimplantation development, pluripotency, differentiation and cellular reprogramming in humans
All facets of host-parasite interactions during malaria, ranging from molecular pathogenesis to malaria immunology to transmission
Evolutionary systems biology; protein kinase signaling in plants, pathogens and microbes. Evolution and classification of glycoenzymes.
Parasite genomics and the biology of genome evolution.
Mass spectrometry, imaging, glycosylation, metabolism, environmental exposure (infectious disease, ionizing radiation, emerging pollutants).
Phylogenetics, evolutionary biology, statistics.
Micro- and nano-technology, lab-on-a-chip systems, microfluidics,
single cell study, cancer diagnostics.
Biogeochemical nutrient cycling in porous media and aquatic systems, reactive transport modeling of microbially mediated processes.
Developmental Regulation of Gene Expression; Evolution of Vertebrate Morphology.
Ecology of marine bacteria in the carbon and sulfur cycles;
application of ecological functional genomics techniques to marine microbes.
Use bioinformatics and comparative genomics to study
relationships between the genomic DNA sequence and the
organism’s physiological characteristics,and regulatory
processes that govern the flow of genetic information.
Cell differentiation during plant reproduction, genomics and gene regulatory networks, single-cell RNA-sequencing, reprogramming cell fate
Biomedical imaging and large graph mining in public health applications.
My research group develops statistical and and computational approaches to better extract
information from biological data, particularly in the genotype-phenotype relationship.
Computational Science and Parallel Computing; Bioinformatics: Involved in a project called: Computing Life: to solve system of differential equations that model biochemical reaction networks by using efficient/parallel numerical methods.
Growth-defense tradeoff, phenylpropanoid metabolism and carbon allocation,
gene family evolution and functional diversification, alternative splicing and gene duplication.
Nutritional Genomics; Human Genetics; Population and Quantitative Genomics;
Gene-Diet Interaction during human evolution and in metabolic diseases;
Cancer genomics; human junk DNA; genomic instability.