Dr. Maude David, Assistant Professor

Office 534 Nash Hall Academic Bio 
Phone 541-737-0629  
FAX 541-737-0496 Laboratory Website
davidlab.science.oregonstate.edu
Email maude.david@oregonstate.edu  
Education Ph.D. Ecole Centrale de Lyon, U. of Lyon, France
  

Research Interests:  Computational Biology; Microbial Ecology; Gut-Brain Axis

Courses Taught: MB 599:  Capstone Problem-Solving Course in Biological Data Sciences; BSD 491/492:  Capstone Projects in Biological Data Science I and II

 

RESEARCH

Dr. Maude David's laboratory studies the gut-brain axis, to understand how microbes can impact our behavior, specifically in Autism Spectrum Disorder and Anxiety. She uses a crowd-sourced approach to collect lifestyle type information, diet habits, and samples. Her team is also working on identifying bottlenecks in microbial ecology and bioinformatics, bringing novel solutions to unravel microbial molecular mechanisms by optimizing new molecular methods and improving massive sequencing data annotation.

PRESS RELEASES 

https://today.oregonstate.edu/news/osu-part-194-million-grant-study-connection-between-autism-microbiome

KQED: Researchers Hunt for a Link Between Microbiome and Autism by Danielle Venton

CEHG: Cross-referencing analysis of autism to identify novel genes and pathways by Pleuni Pennings

 

Google Scholar

Pubmed

SELECTED PUBLICATIONS

Tataru, C. and David, M.M.  2020.   Decoding the language of microbiomes using word-embedding techniques, and applications in inflammatory bowel disease.  PLoS Computational Biology  16(5):e1007859.
David, M.M., Tataru, C., Daniels, J., Schwartz, J., Keating, J., Hampton-Marcell, J., Gottel, N., Gilbert, J.A. and Wall, D.P.  2018. Crowdsourced study of children with autism and their typically developing siblings identifies differences in taxonomic and predicted function for stool-associated microbes.  bioRxiv:319236.
Kimbrel, J.A., Ballor, N., Wu, Y.W., David, M.M., Hazen, T.C., Simmons, B.A., Singer, S.W. and Jansson, J.K.  2018. Microbial Community Structure and Functional Potential Along a Hypersaline Gradient.  Front Microbiol. 9:1492.
Diaz-Beltran, L., Esteban, F.J., Varma, M., Ortuzk, A., David, M. and Wall, D.P.  2017.  Cross-disorder comparative analysis of comorbid conditions reveals novel autism candidate genes.  BMC Genomics 19(1):315.
David, M.M., Enard, D., Ozturk, A., Daniels, J., Jung, J.Y., Diaz-Beltran, L., and D.P. Wall.  2016.  Comorbid analysis of genes associated with autism spectrum disorders reveals differential evolutionary constraints.  2016.  PloS ONE 11(7)e0157937.
Hultman, J., Waldrop, M.P., Mackelprang, R., David, M., McFarland, J., Blazewicz, S.J., Harden, J., Turetsky, M.R., McGuire, A.D., Shah, M.B., VerBerkmoes, N.C., Lee, L.H., Mavrommatis, K., and Jansson, J.K.  2015.  Multi-omics of permafrost, active layer and thermokarst bog soil microbiomes.  Nature 521(7551):208-212.
Sochat, V., David, M., and Wall, D.P.  2015.  Translational meta-analytical methods to localize the regulatory patterns of neurological disorders in the human brain.  AMIA Ann. Symp. Proc. 2015, 2073.
David, M.M., Cecillon, S., Warne, B., Prestat, E., Jansson, J.K., and Vogel, T.M.  2015.  Microbial ecology of chlorinated solvent biodegradation.  Environ. Microbiol. 17(12):4835-4850.
Prestat, E., David, M.M., Hultman, J., Tas, N., Lamendella, R., Dvornik, J., Mackelprang, R., Myrold, D.D., Jumpponen, A., Tringe, S.G., Holman, E., Mavromatis, K. and Jansson, J.K.   2014.  FOAM (Functional Ontology Assignments for Metagenomes):  A hidden Markov Model (HMM) database with environmental focus. Nucleic Acids Res. 42(10):e145-e145.
Bravo, D., Martin, G., David, M.M., Cailleau, G., Verrecchia, E. and Junier, P. 2013.  Identification of active oxalotrophic bacteria by Bromodeoxyuridine DNA labeling in a microcosm soil experiment.  FEMS Microbiol. Letts. 348(2):103-111.
Nicora, C.D., Anderson, B.J., Callister, S.J., Norbeck, A.D., Purvine, S.O., Jansson, J.K., Mason, O.U., David, M., Jurelevicius, D., Smith, R.D. and Lipton, M.S.  2013.  Amino acid treatment enhances protein recovery from sediment and soils for metaproteomic studies.  Proteomics 13(18-19):2776-2785.
Mackelprang, R., Waldrop, M.P., DeAngelis, K.M., David, M.M., Chavarria, K.L., Blazewicz, S.J., Rubin, E.M., and Jansson, J.K.  2011.  Metagenomic analysis of a permafrost microbial community reveals a rapid response to thaw.  Nature 480 (7377):368-371.