Assistant Professor of Biological Sciences
PhD, 2010 University of California-Riverside
|Office:||401 Tucker Hall|
|Additional:||Website, Twitter, Google-Scholar|
Genomic approaches to the study of life history evolution
Research descriptionThe goal of research in my lab is to explain the diversity of life history strategies among organisms. Why do some organisms live for many years while others only live for weeks or months? Why do some organisms produce very large offspring while others produce tiny young? We use genomic and quantitative techniques to understand the genetic basis of these life history strategies and how different strategies evolve. We primarily, though not exclusively, use insect model systems for our research.
Ng’oma, E., Fidelis, W., Middleton, K.M., King, E.G. The evolutionary potential of diet-dependent effects on lifespan and fecundity in a multi-parental population of Drosophila melanogaster (2019) Heredity, 122 (5), pp. 582-594. DOI: 10.1038/s41437-018-0154-2
Williams-Simon, P.A., Posey, C., Mitchell, S., Ng'oma, E., Mrkvicka, J.A., Zars, T., King, E.G. Multiple genetic loci affect place learning and memory performance in Drosophila melanogaster (2019) Genes, Brain and Behavior, . DOI: 10.1111/gbb.12581
Petrowski, P.F., King, E.G., Beissinger, T.M. An R framework for the partitioning of linkage disequilibrium between and within populations (2019) Journal of Open Research Software, 7 (1), art. no. 15, . DOI: 10.5334/jors.250
Ng’oma, E., King, E.G., Middleton, K.M. A model-based high throughput method for fecundity estimation in fruit fly studies (2018) Fly, 12 (3-4), pp. 183-190. DOI: 10.1080/19336934.2018.1562267
Stanley, P.D., Ng’oma, E., O’Day, S., King, E.G. Genetic dissection of nutrition-induced plasticity in insulin/insulin-like growth factor signaling and median life span in a Drosophila multiparent population (2017) Genetics, 206 (2), pp. 587-602.
King, E.G., Long, A.D. The beavis effect in next-generation mapping panels in Drosophila melanogaster (2017) G3: Genes, Genomes, Genetics, 7 (6), pp. 1643-1652.
Ng’Oma, E., Perinchery, A.M., King, E.G. How to get the most bang for your buck: The evolution and physiology of nutritiondependent resource allocation strategies (2017) Proceedings of the Royal Society B: Biological Sciences, 284 (1857), art. no. 20170445, DOI: 10.1098/rspb.2017.0445
Najarro, M. A., Hackett, J. L., Smith, B. R., Highfill, C. A., King, E. G., Long, A. D., and Macdonald, S. J. 2015. Identifying loci contributing to natural variation in xenobiotic resistance in Drosophila. PLoS Genetics, 11(11), 25.
Long, A.D., Macdonald, S.J., and King, E.G. 2014. Dissecting complex traits using the Drosophila Synthetic Population Resource. Trends in Genetics. 30(11): 488 – 495.
King, E.G.*, Kislukhin, G.*, Walters, K.N., and Long, A.D. 2014. Using Drosophila melanogaster to identify chemotherapy toxicity genes. Genetics. 198(1): 31 – 43.
King, E.G., Sanderson, B.J., McNeil, C.L., Long, A.D., and Macdonald, S.J. 2014. Genetic dissection of the Drosophila melanogaster female head transcriptome reveals widespread allelic heterogeneity. PLoS Genetics. 10(5): e1004322.
Burke, M.K., King, E.G, Shahrestani, P, Rose, M.R., and Long, A.D. 2014. Genome-wide association study of extreme longevity in Drosophila melanogaster. Genome Biology and Evolution. 6(1): 1-11.
Marriage, T.N., King, E.G., Long, A.D., and Macdonald, S.J. 2014. Fine-mapping nicotine resistance loci in Drosophila using a multiparent advanced generation intercross population. Genetics. 198(1): 45 – 57.
Kislukhin, G.*, King, E.G.*, Walters, K.N., Macdonald, S.J., and Long, A.D. 2013. The genetic architecture of methotrexate toxicity is similar in Drosophila melanogaster and humans. G3: Genes|Genomes|Genetics 3(8):1301-1310.
King, E.G., Macdonald, S.J., and Long, A.D. 2012. Properties and power of the Drosophila Synthetic Population Resource for the routine dissection of complex traits. Genetics 191(3): 935 – 949.
King, E.G., Merkes, C.M., McNeil, C.L., Hoofer, S.R., Sen, S., Broman, K.W., Long, A.D., and Macdonald, S.J. 2012. Genetic dissection of a model complex trait using the Drosophila Synthetic Population Resource. Genome Research 22:1558 – 1566.
King, E.G., Roff, D.A., and Fairbairn, D.J. 2012. Extracting the underlying physiological determinants of resource based trade-offs: A principal components approach. The American Naturalist 180(3): 394 – 402.
Honors & Awards
Selected honors and awards
Mr. & Mrs. Shouson & Yunying-Kou Jen Junior Faculty Research Award in Biology 2019
July 17, 2019
Why some flies learn, remember better than others
May 3, 2019
Mizzou Biology graduate students celebrated for research, teaching
Jan. 25, 2019
2019 Faculty Fellow Awards in Biological Sciences
Aug. 30, 2018
Patricka Williams-Simon awarded prestigious HHMI Gilliam Fellowship
July 10, 2018
King celebrated for research excellence
June 7, 2017
June 5, 2017
Zars, King receive grant to uncover the genetic basis of learning and memory in flies
Nov. 21, 2016
Mizzou Biologist Receives NIH Grant to Study How Genes Shape the Effects of Diets