James M. Reecy
Professor of Animal Science
Coordinator, Bioinformatics Coordination Program, National Animal Genome Research Program, National Beef Cattle Evaluation Consortium
Iowa State University
2255 Kildee Hall
South Dakota State University, Animal Science BS: 1990
University of Missouri-Columbia, Animal Science MS: 1992
Purdue University, Animal Science PhD: 1995
2008: Early Achievement in Research Award, Midwest American Society of Animal Science
2003 Early Achievement in Research Award, College of Agriculture, Iowa State University
Dr. Reecy's current areas of research include beef cattle molecular genetics, gene function, and development livestock bioinformatics/database resources.
Beef is a highly nutritious and valued food. It is a rich source of protein and micronutrients (vitamins A, B6, B12, D, and E, iron, zinc and more). However, one major factor affecting beef intake has been the nutritional recommendations of dieticians and health professionals. The consumer has been told that it is desirable to decrease the consumption of foods rich in SFA. Often, it is recommended that beef be excluded from the diet because it is rich in SFA and SFA intake has been positively correlated with atherosclerosis and other vascular diseases. However, lipids are not the only nutrients in beef that can impact human health. Iron is a mineral that is required to maintain adequate human health. Iron-containing compounds carry oxygen from the lungs to the rest of the body and regulate cell growth and differentiation. Insufficient iron is harmful resulting in anemia, which can cause weakness, lethargy, muscle fatigue, and shortness of breath. In addition to fatty acids and iron, there are other nutrients like CLA, omega-3 fatty acids, zinc, magnesium, creatinine, creatine, carnitine, vitamin E, vitamin B6 and B12, cholesterol, and sphingolipids that can impact human health. While beef is already a wonderful source of nutrients, there is a huge potential to further enhance beef so that it is an even better nutrient source. It is our contention that U.S. consumers will become increasingly supportive of food sources that they believe help them live a healthier life and that enhancing the nutritional value of beef will increase consumer demand for the product and ensure continued growth of the beef industry. We have determined that the heritability associated with individual fatty acids is very favorable (h2 = 0.25 - 0.45). Recently, we reported on the identification of mutations in Fatty Acid Synthase that were associated with decreased saturation of fat. Thus, producers can begin to select for cattle that produce a healthier product. Currently, we are conducting a large experiment designed to implement whole genome selection for healthfulness traits in cattle.
Bovine Respiratory Disease (BRD) complex is the biggest health obstacle the cattle industry faces due to the economic ramifications. Recently, we reported that the potential decrease in performance and carcass merit resulted in an economic loss of $23.23, $30.15, and $54.01 in carcass value when comparing cattle never treated to cattle treated once, twice, or three or more times, respectively. In addition, we have preliminary data with industry fed cattle indicating that the heritability of resistance to BRD is low (h2 = 0.1). In addition, we are interested in the response to vaccination. If we could identify those animals that will respond to vaccination, we should be able to improve the overall health of feedlot cattle.
When Myostatin was knocked out in mice, it resulted in a 200% increase in muscle mass. This finding resulted the realization that the double-muscling phenotype in cattle was the result of mutations in Myostatin. While progress has been made into the elucidation of intracellular signaling mechanisms controlled by Myostatin, there is much that we still do not understand. Previously, we evaluated global gene expression levels in wild-type and myostatin-null mice during primary and secondary myotube formation, as well as five weeks postnatal. Interestingly, gene expression changes could be binned into any phenotype one was interested with respect to muscle growth. We went on to report that Wnt4 and sFRPs lie downstream of Myostatin and are most likely involved in regulation of satellite cell proliferation. Recently, we initiated an experiment with myostatin-null mice and M16i obese mice to identify epistatic alleles that control skeletal, skeletal muscle, and adipose growth. As a result of this experiment, we hope to identify alleles that have differential effects in the presence and absence of functional Myostatin. These findings should lead to the development of novel strategies to enhance postnatal skeletal muscle growth.
Livestock geneticists have done a wonderful job of identifying regions of the genome that are associated with traits of economic importance. However, they have identified so many QTL that it is no longer feasible for researchers to stay abreast of all publications. To alleviate this problem, we have developed a livestock QTL database where we have curated cattle, chicken and pig QTL. We are working to expand this resource to allow researchers to seamlessly move from QTL information to genomic information to assist them in the identification of causative alleles underlying QTL. As a result of this work, we realized there is a large need to develop a standardized nomenclature for phenotypes. Toward this end, we have developed resources to allow for the collaborative development of an Animal Trait Ontology (ATO). We are currently working with the Rat Genome Database, Mouse Genome Informatics, EADGENE and SABRE to expand this resource. We will use this resource in conjunction with a comparative QTL viewer that we are developing to allow for the exchange of genomic and phenotypic information across multiple species.
American Society of Animal Science
American Heart Association
American Association for the Advancement of Science
International Society of Animal Genetics
A1. Schneider, M.J., R. G. Tait, Jr., M.V. Ruble, W.D. Busby, J.M. Reecy. 2010. Evaluation of fixed sources of variation and estimation of genetic parameters for incidence of bovine respiratory disease in prewean calves and feedlot cattle. Journal of Animal Science 88(4):1220-8.
A2. Gorbach D.M., M.L. Makgahlela, J.M. Reecy, S.J. Kemp, I. Baltenweck, R. Ouma, O. Mwai, B. Murdoch, S. Moore, M.F.Rothschild. 2010. Use of large scale SNP genotyping to determine pedigree, inbreeding levels, and breed composition of dairy cattle in Kenya. Journal of Animal Breeding 127(5):348-51.
A3. Couture, O., K. Callenberg, N. Koul, S. Pandit, R. Younes, Z.-L. Hu, J. Dekkers, J.M. Reecy, V. Honavar, C. Tuggle. 2009. ANEXdb: An Integrated Animal ANnotation and Microarray EXpression Database. Mammalian Genome 20(11-12):768-77.
A4. Lunney, J.K., E.R .Fritz, J.M. Reecy, D. Kuhar, E. Prucnal, R. Molina, J. Christopher-Hennings, J. Zimmerman, R.R.R. Rowland. 2010. Interleukin-8, interleukin-1b and interferon-g levels are linked to PRRS virus persistence. Viral Immunology 23(2):127-34.
A5. Dodson, M.V., L.L. Guan, M.E. Fernyhough, P.S. Mir, L. Bucci, D.C. McFarland, J. Novakofski, J.M. Reecy, K.M. Ajuwon, D.P. Thompson, G.J. Hausman, M. Benson, W.G. Bergen, Z. Jiang. 2010. Perspectives on the formation of an interdisciplinary research team. Biochemical and Biophysical Research Communications 391(2):1155-7.
A6. Zhang S, Knight TJ, J.M. Reecy, Wheeler TL, Shackelford SD, Cundiff LV, Beitz DC. 2010. Associations of polymorphisms in the promoter I of bovine acetyl-CoA carboxylase-alpha gene with beef fatty acid composition. Animal Genetics 41(4):417-20.
A7. Kataria, R.S., R.G. Tait, Jr., D. Kumar, M.A. Ortega, J. Rodrigues, and J.M. Reecy. 2010. Association of Toll-like receptor 4 single nucleotide polymorphisms with incidence of infectious bovine keratoconjunctivitis (IBK) in cattle. Immunogenetics Oct 12. [Epub ahead of print]
A8. Lu J., Peatman E., Yang Q., Wang S, Hu Z., Reecy, J.M. , Kucuktas H., Liu Z. 2010. The catfish genome database cBARBEL: an informatic platform for genome biology of ictalurid catfish. Nucleic Acids Res. 39(Database issue):D815-21. Epub 2010 Oct 8.
A9. Dodson M.V., Hausman G.J., Guan L., Du M., Rasmussen T.P., Poulos S.P., Mir P., Bergen W.G., Fernyhough M.E., McFarland D.C., Rhoads R.P., Soret B., Reecy, J.M. , Velleman S.G., Jiang Z. 2010. Skeletal muscle stem cells from animals I. Basic cell biology. International Journal of Biological Science. 6(5):465-74.
A10. Garbe, J., C. Elsik, E. Antoniou, J.M. Reecy, K.J. Clark, A. Venkatraman, J.-W. Kim, R. Schnabel, C. Michael Dickens, R.D. Wolfinger, S.C. Fahrenkrug and J. Taylor. 2010. Development and Application of Bovine and Porcine Oligonucleotide Arrays with Protein Based Annotation. Journal of Biomedicine and Biotechnology. 2010:453638. Epub 2010 Dec 14.
A11. Lunney JK, J.P. Steibel, J.M. Reecy, M. Rothschild, M. Kerrigan, B. Trible, R.R.R. Rowland. 2010. Probing genetic control of swine responses to PRRSV infection: Current Progress of the PRRS Host Genetics Consortium. BMC Proceedings for Animal Genomics for Animal Health International Symposium. 2011 Jun 3;5 Suppl 4:S30.
A12. Dodson, M.V., G.J. Hausman, L.L. Guan, M. Du, T.P. Rasmussen, S.P Poulos, P. Mir, W.G. Bergen, M.E. Fernyhough, D.C. McFarland, R.P. Rhoads, B. Soret, J.M. Reecy, S.G. Velleman and Z. Jiang. 2010. Lipid metabolism, adipocyte depot physiology and utilization of meat animals as experimental models for metabolic research. International Journal of Biological Science 6(7):691-699.
A13. Garmyn, A.J., G.G. Hilton, R.G. Mateescu, J.B. Morgan , J.M. Reecy, R.G. Tait Jr, D.C. Beitz, Q. Duan, J.P. Schoonmaker, M.S. Mayes, M.E. Drewnoski, Q. Lui, D.L. Vanoverbeke. 2011. Estimation of relationships between mineral concentration and fatty acid composition of longissimus muscle and beef palatability traits. Journal of Animal Science 89(9):2849-58Apr 21. [Epub ahead of print]
A14. Kizilkaya, K., R.G. Tait, D.J. Garrick, R.L. Fernando1, J.M. Reecy. 2011Whole genome analysis of infectious bovine keratoconjunctivitis in Angus cattle using Bayesian threshold models. BMC Genomics Suppl 4:S22.
A15. Duan, Q., R.G. Tait, Jr, M.S. Mayes, D.J. Garrick, Q. Liu, A.L. Van Eenennaam, R.G. Mateescu, D.L. Van Overbeke, A.J. Garmyn, D.C. Beitz and J.M. Reecy. 2011. Genetic polymorphisms in bovine transferrin receptor 2 (TFR2) and solute carrier family 40 (iron-regulated transporter), member 1 (SLC40A1) gene and their associations with beef iron content. Animal Genetics (Accepted). doi:10.1111/j.1365-2052.2011.02224.x
A16. Cheng, Y., S. Rachigani, J.C.M. Dekkers, M.S. Mayes, R.G. Tait, Jr., and J.M. Reecy. 2011. Mapping Genetic Loci that Interact with Myostatin to Affect Growth Traits. Heredity Jun 22. doi: 10.1038/hdy.2011.45. [Epub ahead of print]
A17. Hu, Z.-L., A.M. Ramos, S.J. Humphray, J. Rogers, J.M. Reecy and M.F.Rothschild. 2011.Use of genomes sequence information for meat quality trait QTL mining for causal genes and mutations on pig chromosome 17. Frontiers in Genetics 2:43. doi: 10.3389/fgene.2011.00043
Reecy Research Projects