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.
Professional Affiliations and Committees
American Society of Animal Science
American Heart Association
American Association for the Advancement of Science
International Society of Animal Genetics
A1. Endale Ahanda ML, Fritz ER, Estellé J, Hu ZL, Madsen O, Groenen MA, Beraldi D, Kapetanovic R, Hume DA, Rowland RR, Lunney JK, Rogel-Gaillard C, Reecy JM, Giuffra E. 2012. Prediction of Altered 3'- UTR miRNA-Binding Sites from RNA-Seq Data: The Swine Leukocyte Antigen Complex (SLA) as a Model Region. PLoS One. 2012;7(11):e48607. doi: 10.1371/journal.pone.0048607. Epub 2012 Nov 6.
A2. Mateescu RG, Garmyn AJ, Tait RG Jr, Duan Q, Liu Q, Mayes MS, Garrick DJ, Van Eenennaam AL, Vanoverbeke DL, Hilton GG, Beitz DC, Reecy JM. 2012. Genetic parameters for concentrations of minerals in longissimus muscle and their associations with palatability traits in Angus cattle. J Anim Sci. 2013 Mar;91(3):1067-75. doi: 10.2527/jas.2012-5744. Epub 2012 Dec 10.
A3. Hu ZL, Park CA, Wu XL, Reecy JM. 2013. Animal QTLdb: an improved database tool for livestock animal QTL/association data dissemination in the post-genome era. Nucleic Acids Res. 2013 Jan 1;41(D1):D871-9. doi: 10.1093/nar/gks1150. Epub 2012 Nov 24.
A4. Badaoui B, Tuggle CK, Hu Z, Reecy JM, Ait-Ali T, Anselmo A, Botti S. 2013. Pig immune response to general stimulus and to porcine reproductive and respiratory syndrome virus infection: a meta-analysis approach. BMC Genomics. 2013 Apr 3;14:220. doi: 10.1186/1471-2164-14-220.
A5. Kizilkaya K, Tait RG, Garrick DJ, Fernando RL, Reecy JM. 2013. Genome-wide association study of infectious bovine keratoconjunctivitis in Angus cattle. BMC Genet. 2013 Mar 26;14(1):23. [Epub ahead of print]
A6. Nafikov RA, Schoonmaker JP, Korn KT, Noack K, Garrick DJ, Koehler KJ, Minick-Bormann J, Reecy JM, Spurlock DE, Beitz DC. 2013. Sterol regulatory element binding transcription factor 1 (SREBF1) polymorphism and milk fattyacid composition. J Dairy Sci. 2013 Apr;96(4):2605-16. doi: 10.3168/jds.2012-6075. Epub 2013 Feb 10.
A7. Dawson HD, Loveland JE, Pascal G, Gilbert JG, Uenishi H, Mann KM, Sang Y, Zhang J, Carvalho-Silva D, Hunt T, Hardy M, Hu Z, Zhao SH, Anselmo A, Shinkai H, Chen C, Badaoui B, Berman D, Amid C, Kay M, Lloyd D, Snow C, Morozumi T, Cheng RP, Bystrom M, Kapetanovic R, Schwartz JC, Kataria R, Astley M, Fritz E, Steward C, Thomas M, Wilming L, Toki D, Archibald AL, Bed'hom B, Beraldi D, Huang TH, Ait-Ali T, Blecha F, Botti S, Freeman TC, Giuffra E, Hume DA, Lunney JK, Murtaugh MP, Reecy JM, Harrow JL, Rogel-Gaillard C, Tuggle CK. 2013. Structural and functional annotation of the porcine immunome. BMC Genomics. 2013 May 15;14:332
A8. Bauermann FV, Harmon A, Flores EF, Falkenberg SM, Reecy JM, Ridpath JF. 2013. In vitro neutralization of HoBi-like viruses by antibodies in serum of cattle immunized with inactivated or modified live vaccines of bovine viral diarrhea viruses 1 and 2. Vet Microbiol. 2013 May 20. doi:pii: S0378-1135(13)00250-2. 10.1016/j.vetmic.2013.04.032. [Epub ahead of print]
A9. Koesterke L, Milfeld K, Vaughn MW, Stanzione D, Koltes JE, Weeks NT, Reecy JM. 2013. Optimizing the PCIT algorithm on satampede’s Xeon Xeon Phi processors for faster discovery of biological networks. XSEDE ’13 Proceedings of the Confenerence on Extreme Science and Engineering Discovery Environment: Gateway to Discivery. ISBN: 978-1-4503-2170-9. doi>10.1145/2484762.2484794
A10. Mateescu RG, Garrick DJ, Tait RG Jr, Garmyn AJ, Duan Q, Liu Q, Mayes MS, Van Eenennaam AL, Vanoverbeke DL, Hilton GG, Beitz DC, Reecy JM.Genome-wide association study of concentrations of iron and other minerals in longissimus muscle of Angus cattle.J Anim Sci. 2013 Jul 23. [Epub ahead of print]
A11. Downey ED, Tait RG Jr, Mayes MS, Park CA, Ridpath JF, Garrick DJ, Reecy JM. 2013. An evaluation of circulating bovine viral diarrhea virus type 2 maternal antibody level and response to vaccination in Angus calves. J Anim Sci. 2013 Jul 23. [Epub ahead of print]
A12. Nafikov RA, Schoonmaker JP, Korn KT, Noack K, Garrick DJ, Koehler KJ, Minick-Bormann J, Reecy JM, Spurlock DE, Beitz DC. 2013. Association of polymorphisms in solute carrier family 27, isoform A6 (SLC27A6) and fatty acid binding protein-3 and fatty acid binding protein-4 (FABP3 and FABP4) with fatty acid composition of bovine milk. J Dairy Sci. 2013 Jul 4. doi:pii: S0022-0302(13)00484-0. 10.3168/jds.2013-6703. [Epub ahead of print]
Reecy Research Projects