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Your search keyword '"Fortes, M. R. S."' showing total 15 results
Start Over Author "Fortes, M. R. S." Journal journal of animal science
15 results on '"Fortes, M. R. S."'

6. Transcriptome analyses identify five transcription factors differentially expressed in the hypothalamus of post- versus prepubertal Brahman heifers1

Author

Fortes, M. R. S., primary, Nguyen, L. T., additional, Weller, M. M. D. C. A., additional, Cánovas, A., additional, Islas-Trejo, A., additional, Porto-Neto, L. R., additional, Reverter, A., additional, Lehnert, S. A., additional, Boe-Hansen, G. B., additional, Thomas, M. G., additional, Medrano, J. F., additional, and Moore, S. S., additional

Published
2016
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11. Gene network analyses of first service conception in Brangus heifers: Use of genome and trait associations, hypothalamic-transcriptome information, and transcription factors1

Author

Fortes, M. R. S., primary, Snelling, W. M., additional, Reverter, A., additional, Nagaraj, S. H., additional, Lehnert, S. A., additional, Hawken, R. J., additional, DeAtley, K. L., additional, Peters, S. O., additional, Silver, G. A., additional, Rincon, G., additional, Medrano, J. F., additional, Islas-Trejo, A., additional, and Thomas, M. G., additional

Published
2012
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12. Genome-wide association studies of female reproduction in tropically adapted beef cattle1

Author

Hawken, R. J., primary, Zhang, Y. D., additional, Fortes, M. R. S., additional, Collis, E., additional, Barris, W. C., additional, Corbet, N. J., additional, Williams, P. J., additional, Fordyce, G., additional, Holroyd, R. G., additional, Walkley, J. R. W., additional, Barendse, W., additional, Johnston, D. J., additional, Prayaga, K. C., additional, Tier, B., additional, Reverter, A., additional, and Lehnert, S. A., additional

Published
2012
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13. PHYSIOLOGY AND ENDOCRINOLOGY SYMPOSIUM: How single nucleotide polymorphism chips will advance our knowledge of factors controlling puberty and aid in selecting replacement beef females1,2,3,4

Author

Snelling, W. M., primary, Cushman, R. A., additional, Fortes, M. R. S., additional, Reverter, A., additional, Bennett, G. L., additional, Keele, J. W., additional, Kuehn, L. A., additional, McDaneld, T. G., additional, Thallman, R. M., additional, and Thomas, M. G., additional

Published
2012
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15. A marker-derived gene network reveals the regulatory role of PPARGC1A, HNF4G, and FOXP3in intramuscular fat deposition of beef cattle1

Author

Ramayo-Caldas, Y., Fortes, M. R. S., Hudson, N. J., Porto-Neto, L. R., Bolormaa, S., Barendse, W., Kelly, M., Moore, S. S., Goddard, M. E., Lehnert, S. A., and Reverter, A.

Abstract

High intramuscular fat (IMF) awards price premiums to beef producers and is associated with meat quality and flavor. Studying gene interactions and pathways that affect IMF might unveil causative physiological mechanisms and inform genomic selection, leading to increased accuracy of predictions of breeding value. To study gene interactions and pathways, a gene network was derived from genetic markers associated with direct measures of IMF, other fat phenotypes, feedlot performance, and a number of meat quality traits relating to body conformation, development, and metabolism that might be plausibly expected to interact with IMF biology. Marker associations were inferred from genomewide association studies (GWAS) based on high density genotypes and 29 traits measured on 10,181 beef cattle animals from 3 breed types. For the network inference, SNP pairs were assessed according to the strength of the correlation between their additive association effects across the 29 traits. The co-association inferred network was formed by 2,434 genes connected by 28,283 edges. Topological network parameters suggested a highly cohesive network, in which the genes are strongly functionally interconnected. Pathway and network analyses pointed towards a trio of transcription factors (TF) as key regulators of carcass IMF: PPARGC1A, HNF4G, and FOXP3. Importantly, none of these genes would have been deemed as significantly associated with IMF from the GWAS. Instead, a total of 313 network genes show significant co-association with the 3 TF. These genes belong to a wide variety of biological functions, canonical pathways, and genetic networks linked to IMF-related phenotypes. In summary, our GWAS and network predictions are supported by the current literature and suggest a cooperative role for the 3 TF and other interacting genes including CAPN6, STC2, MAP2K4, EYA1, COPS5, XKR4, NR2E1, TOX, ATF1, ASPH, TGS1, and TTPAas modulators of carcass and meat quality traits in beef cattle.

Published
2014
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