![]() |
|
|
Department of Animal Sciences, University of Illinois, Urbana 61801
2To whom correspondence should be addressed. E-mail: schook{at}uiuc.edu.
| ABSTRACT |
|---|
|
|
|---|
KEY WORDS: cats dogs genome mapping nutritional genomics
| Genome sequencing and mapping |
|---|
|
|
|---|
Even less is known about the placement and function of genes in the canine and feline genomes. It is estimated that whole genome sequencing of a mammalian genome containing
2.73.2 billion bases (similar to that of humans, dogs and cats) at 5x coverage costs
50 million U.S.$ (2). Therefore, only a few mammalian species have been selected for sequencing thus far (humans, mice and rats are completed or in progress) (3). In the past year, the National Human Genome Research Institute (NHGRI)2 added dogs, cows and pigs to the high priority list of model organisms and cats to the medium priority list to be considered for genome sequencing as capacity becomes available (http://genome.gov/page.cfm?pageID = 10002154). High priority does not automatically begin the sequencing process. Once capacity is available, the NHGRI determines the resources to be expended on that organism. Therefore, it may be several years before the canine and feline genomes are fully sequenced.
Because whole genome sequencing has not been plausible until recently, various genome-mapping strategies (genetic, physical and cytological maps) have been implemented to reveal the physical characteristics of a given genome (Fig. 1). "Genetic maps" describe the relative order of genetic markers in linkage groups in which the distance between markers is expressed as units of recombination (4). The centiMorgan (cM), equal to a recombination frequency of 0.01, is the standard unit of genetic distance. In humans, dogs and cats, 1 cM is equal to
1000 kb. Genetic mapping requires multigenerational reference populations and polymorphic markers. Genetic maps are commonly constructed by a technique called radiation hybrid (RH) mapping. Irradiation of fibroblast cells causes chromosomes to fragment. By irradiating fibroblast cells from an organism of interest, these fragments are incorporated into a panel of hamster fibroblast cell cultures (5). Species-specific PCR amplification then is used to ascertain which loci are present in each line, and the frequency at which markers cosegregate is an indicator of the physical distance between the markers (6). The power of RH mapping is that nonpolymorphic markers can be mapped and gene order can be achieved. RH mapping permits higher resolution mapping that would be difficult, if not impossible, for large populations. "Physical maps" assemble contiguous stretches of chromosomal DNA (referred to as contigs) in which the distance between markers is expressed in kb. Physical maps can be constructed by a technique called chromosome walking or by the alignment of randomly isolated clones based on shared chromosome fragment profiles. Bacterial artificial chromosomes (BAC) and yeast artificial chromosomes are commonly used with these procedures. Because physical maps provide a scaffold upon which anonymous polymorphic markers can be placed, they facilitate finer scale linkage mapping than genetic maps (4). "Cytological maps" portray the banding patterns observed through a microscope on stained chromosomes. These maps aid in the alignment of physical and genetic maps and can be used to differentiate chromosomes from one another. Finally, by using comparative mapping techniques, gene-rich species maps of humans, mice or rats can be used to develop maps of species about which little is known. Syntenic groups, conserved segments of two or more organisms, can be used as anchoring landmarks on the gene-poor species map. With the use of fluorescent dyes, a technique referred to as "chromosome painting" can be performed; this defines regions of synteny between two genomes. Table 1lists common genomic terms and their definitions.
|
|
| Canine and feline genomes |
|---|
|
|
|---|
3.3 billion nucleotides), that of the canine has a smaller overall size (
2.7 billion nucleotides) and is split into many more chromosomes (haploid chromosome number = 39) (7). Because of the high number of total chromosomes and the small size and similar banding patterns of many autosomes, the karyotype of the dog has been difficult to work with. In fact, an internationally accepted numbering system of all 38 canine autosomes was completed only in the last decade (8,9). The standardization of the sex chromosomes and the first 21 autosomes of the dog karyotype was achieved using conventional cytogenetics (10). However, molecular cytogenetic techniques (e.g., fluorescent in situ hybridization and DNA binding AT-specific 4'-6-diamidino-2-phenylindole banding) were required to reliably identify the remaining 17 autosome pairs. Through incorporating new markers with those of other individual mapping efforts (1116), Breen et al. (17) published the first fully integrated, comprehensive map of the canine genome. This 1800-marker map contained cytogenetic, RH and meiotic information covering >90% of the canine genome. On this map, each chromosome is identified by at least one meiotic linkage group and one RH group. The RH map consists of 320 type I (coding genes) and 1078 type 2 (microsatellites) markers. An RH map of the canine genome having a 1-Mb resolution was recently published by Guyon et al. (18). This RH map contained 3270 markers, including 1596 microsatellite-based markers, 900 cloned gene sequences and expressed sequence tags, 668 canine-specific BAC ends and 106 sequence-tagged sites (18).
Compared with dogs, the genome of cat is more similar to that of humans vis-à-vis size (
3.3 billion nucleotides) and chromosome number (haploid chromosome number = 19) (7). As of December 2002, the feline genome map contained 1881 total markers (including 784 type I coding genes and 1086 type II microsatellite loci) with an average marker density of 1.8 cM (2). The placement of genes in the dog and cat genome maps enhances the existing comparative mapping data between the two species and with humans, whereas microsatellite markers are important for genome scanning studies (17). More information regarding the canine and feline genome maps can be accessed through the websites listed in Table 2.
|
| Current use of genome maps |
|---|
|
|
|---|
The major use of dog and cat genome maps hitherto has been for the study of veterinary and human medicine. Medical surveillance of dogs and cats is second only to that of humans. At the time this paper was written, 263 feline and 451 canine genetic diseases had been described (20). For monogenic diseases, molecular biological techniques can be used to find the genetic cause of a disease. This information can then be used to prevent or treat the disease. The first canine disease-causing gene was cloned and described in 1989 (21). Since then, at least 20 canine disease genes have been cloned and characterized (22). Once DNA sequence data for a disease are known, mutation-based tests can be developed to test for diagnosis and carrier detection. Test results may be used to eliminate carriers from the breeding population to decrease or eliminate incidence of disease. Determination of genetic loci responsible for complex genetic diseases is a much more daunting task. However, this may be possible in the coming years with the use of single nucleotide polymorphism haplotype maps for linkage disequilibrium studies, which already have been performed in humans (23).
Dogs and cats also are excellent animal models for human genetic and nutritional diseases. The dog may be a very useful model because many of the most common diseases of purebred dogs are also major health concerns in humans. Dogs are well-suited animal models for arthritis, various cancers, deafness, heart disease, blindness, epilepsy, chronic metabolic diseases (e.g., obesity, diabetes and hypercholesterolemia), and several other diseases that afflict humans (24). Although a genetic component exists, nutrition plays a major role in the development and (or) treatment of many of these disease states.
Noteworthy parallels exist among dogs, cats and humans concerning changing lifestyles and the increase in the incidence of obesity and associated diseases in the past 50 y. Up to 40% of dogs presented to veterinarians in the United States are now overweight, which is significantly higher than just a few decades ago (25). The incidence of diabetes mellitus in dogs has also increased, from
1.9 cases/1000 in 1970 to 6.2 cases/1000 in 1993 (26). Dogs have been crucial in our understanding of glucose metabolism, pancreatic function and diabetes research. In fact, dogs were the first animal to become diabetic experimentally, and the function of pancreas was determined in dogs by Mering and Minkowski (27). The cause of obesity in dogs is similar to that in humans, with inadequate daily exercise and excessive intake of high quality animal-based ingredients taking much of the responsibility (28). Many of the negative health outcomes of obesity observed in humans are also present in dogs. Weight gain in dogs, as in humans, is associated with increases in blood pressure, heart rate, plasma volume, cardiac output and fasting insulin concentration (29). Rocchini et al. (30) also reported a direct relationship between high fat dietinduced mean arterial pressure and the degree to which insulin resistance developed. Many of the complications associated with diabetes in humans, including hypertension (31), hypercholesterolemia (32), atherosclerosis (33) and retinopathy (34), are also present in canines. In fact, the dog is a popular model for ocular manifestations because diabetes causes cataracts and is the leading cause of blindness in dogs, as it is with humans (34). Finally, clinical signs of diabetes are similar to those of humans, with polydipsia and polyuria being the most common signs in newly diagnosed diabetic dogs (35).
The cat also is a popular human model for many diseases, including arthritis, Cushing disease, epilepsy, leukemia and several metabolic disorders (e.g., obesity, diabetes, glycogen storage disease and hypertriglyceridemia). Of great importance is the use of the cat as a model for AIDS research because they are susceptible to their own version of the disease (36). Although feline immunodeficiency virus is able to infect cats, it is not lethal as HIV is in humans. Therefore, successful treatment for HIV may greatly benefit from this field of research. The incidence of obesity and diabetes in cats continues to increase (as much as 40% of the population) as they become accustomed to a sedentary lifestyle indoors (37). Therefore, cats comprise another naturally occurring model for obesity and diabetes research. Although some differences exist, many of the negative health outcomes of obesity observed in humans and dogs also are present in cats. For example, feline obesity results in reduced insulin sensitivity, glucose intolerance and hypertriglyceridemia (38). As the feline and canine genome maps become more highly developed, comparative studies may be performed to identify and study loci affecting disease across species.
Because approximately half of the feline and canine genetic diseases are homologous to human genetic defects (2), dogs and cats are also good models for human genetic diseases. Companion animal models of human genetics are important to identify disease genes in humans, test conservation of synteny between species, analyze protein function and aid in treatment of disease (39). Cats and dogs offer several advantages as animal models for humans. First, due to dog and cat breeding practices, disease heterogeneity can be avoided. In contrast to many human genetic diseases that are genetically complex, dogs and cats often have diseases due to the mutation of a single gene. In addition to having monogenic diseases, different breeds of dogs and cats having the same phenotype may have a different disease-causing mutation. In this case, all genotypes may be useful in determining the cause and treatment of the human form of the disease. Second, larger families in dogs and cats result in greater statistical power than can be achieved studying inherited disease in humans. Moreover, related dogs and cats can be mated to produce more informative families for genetic mapping. Third, although rodents are members of the same evolutionary clade as humans (clade III) and dogs and cats are not (both members of clade IV) (40), dogs and cats are more closely related to humans in terms of genome structure. To match the human genome, cats (13 translocation steps) and dogs (45 translocation steps) require fewer chromosomal rearrangements than the mouse genome (160 translocation steps) (7). Finally, dogs and cats are monitored and treated with a high standard of veterinary medicine, providing important clinical data on certain disease states.
| Methodology used to study functional genomics |
|---|
|
|
|---|
| Nutritional genomics |
|---|
|
|
|---|
In recent years, scientists have begun applying genomics to the field of nutrition. Changes in gene expression have been used to study a broad range of topics, including energy restriction (44), vitamin (45) and mineral deficiencies (46), glucose metabolism (47) and diseases affecting nutritional status (48). However, this field has not yet made its presence felt in companion animal nutrition. Although some advances have been made in the past 20 y, many of the nutritional requirements of cats and dogs are not known (49). In addition to knowing the minimal nutrient concentrations required to avoid deficiency, determination of optimal and toxic concentrations will be important. Nutritional effects on gene expression in different life stages and genotypes also must be a focus in companion animals. The importance of maternal nutrition during pregnancy on the gene expression and development of offspring was demonstrated in sheep (50). In pigs, nutrient excretion was shown to vary depending on breed, suggesting differences in metabolism due to genotype (51). Determination of nutrient requirements of dogs participating in different physical activities (e.g., dog sled racing, sprint racing or hunting/herding) also would be a worthy research venture.
Because of the vast improvements made in veterinary medicine and companion animal nutrition in recent years, dogs and cats are living longer than ever before. Now, instead of being troubled by intestinal parasites or succumbing to viral infections (e.g., canine distemper), many companion animals are living long enough to suffer from obesity and many of the same diseases that affect their human owners. Unlike diseases due to a mutation at a single gene locus, diabetes, cancers and heart disease are highly complex and involve several genes; they are also affected by lifestyle and environmental conditions. Renal disease, arthritis and several diseases associated with abnormal immune function (e.g., ulcerative colitis, atopic disease) also are becoming more prominent in cats and dogs. A great need for biomarkers capable of predicting disease incidence and longevity exists. Scientists studying the effects of energy restriction on aging already have begun this search (52). Once the genes responsible for developing a given disease are known, dietary intervention may be able to avoid or prolong its development. If dietary intervention is not the answer, the development of genotype-specific drug therapy that would be expected to have increased efficacy and lower toxicity than current drugs may be an alternative approach. Several dozen human drugmetabolizing enzyme polymorphisms have been characterized (53). Because companion animals likely have similar polymorphisms, the type and dose of drug prescribed by veterinarians may soon be influenced by genotype. Although scientists have mixed views on the concept of personalized drug therapy, many drug companies have high expectations and are investing heavily in this area of research (54).
Our laboratory is currently conducting a long-term experiment to evaluate the effects of diet on gene expression in geriatric and weanling dogs. Our experimental design is presented in Figure 2. In this experiment, a diet containing primarily high quality animal-based ingredients is being compared with a diet containing mainly plant-based ingredients. Blood and liver biopsy samples are collected over the course of the experiment and tissue samples are harvested at the end for RNA isolation. Ribonucleic acid samples are being analyzed using oligonucleotide microarrays to generate gene expression profiles (Swanson, K. S., Kuzmuk, K. N., Schook, L. B. & Fahey, G. C., Jr., unpublished data). We have designed an oligonucleotide microarray containing 384 genes with major emphasis placed on metabolic pathways and immune function (http://www.wesbarris.com/locg/). The basic methodology by which we designed and constructed our oligonucleotide microarray is presented in Figure 3(55). As with humans, diabetes is highly prevalent in dogs and is positively correlated with age. Detection of biomarkers predictive of disease is needed and is a goal of this experiment. Therefore, genes associated with glucose metabolism and homologous to human genes demonstrated to contribute to the development of diabetes were included on the microarray. In addition to nutritional genomics and proteomics, metabolomics, the study of metabolic profiles in a cell, tissue or organism, will enable scientists to identify markers indicative of nutritional and (or) health status. The field of metabolomics is already being used to catalog and quantify metabolites to gain more information about specific biological pathways (56,57). Although much of the human and rodent metabolomic research will likely be applicable to companion animals, research using cats and dogs also will be needed to identify species-specific profiles. In our experiment, blood samples were used for analysis of complete blood count and serum chemistry profiles. Although researchers have identified serological indices associated with aging (58), the identification of biomarkers predictive of disease remains to be accomplished. For prediction of complex disease states, it will likely require the measurement of several biomarkers (using both serological indices and gene expression profiles). Statistical analysis of these biomarkers then can be used to predict likelihood of disease development. With data generated from this experiment, we intend to begin identifying biomarkers that can be used for this purpose. Feces and digesta were also collected for the measurement of total tract nutrient digestibility (59), populations of fecal microbes and concentrations of fermentative end products. Statistical analyses will detect important correlations present between gene expression and changes in diet and consequent metabolism. In addition to its effect on metabolism, aging has been shown to influence the expression of genes associated with stress response and biosynthesis (44). Therefore, additional oligonucleotide microarrays are being designed to also study genes of these functional categories. For more information on the design of our oligonucleotide microarrays, visit our website (http://www.wesbarris.com/locg/).
|
|
| Diets formulated for genotypethe future of pet foods? |
|---|
|
|
|---|
|
In conclusion, as biological scientists embrace the new technologies surrounding genomics, proteomics and metabolomics, scientific knowledge continues to progress at astonishing rates. Genome sequencing is the first of many steps required to fully understand the function of biological systems and how they can be manipulated to enhance health and prevent disease. Scientists specializing in "omics" fields of study will be relied upon to determine the answers to these important questions. Although many concepts may be applied across species, some questions can be answered only by performing research on the species in question. Therefore, the molecular biological techniques (e.g., microarray technologies) continually being developed and improved are powerful tools that must be incorporated into companion animal research. Nutritional genomics, proteomics and metabolomics will be important in the determination of nutrient requirements of dogs and cats at different life stages, the prevention and treatment of various disease states, and the testing of numerous functional ingredients and herbal supplements that are making their way into the pet food market.
| FOOTNOTES |
|---|
3 Abbreviations used: 2-D PAGE, two-dimensional PAGE; BAC, bacterial artificial chromosome; NHGRI, National Human Genome Research Institute; RH, radiation hybrid. ![]()
Manuscript received 8 May 2003. Initial review completed 11 June 2003. Revision accepted 30 June 2003.
| LITERATURE CITED |
|---|
|
|
|---|
1. International Human Genome Sequencing Consortium (2001) Initial sequencing and analysis of the human genome. Nature (Lond.) 409:860-921.[Medline]
2. OBrien, S. J., Menotti-Raymond, M., Murphy, W. J. & Yuhki, N. (2002) The feline genome project. Annu. Rev. Genet. 36:657-686.[Medline]
3. Green, E. D. (2001) Strategies for the systematic sequencing of complex genomes. Nat. Rev. Genet. 2:573-583.[Medline]
4. Gibson, G. & Muse, S. V. (2002) A Primer of Genome Science 2002 Sinauer Associates Sunderland, MA.
5. Cox, D. R., Burmeister, M., Price, E. R., Kim, S. & Myers, R. M. (1990) Radiation hybrid mapping: a somatic cell genetic method for constructing high-resolution maps of mammalian chromosomes. Science (Washington, D.C.) 250:245-250.
6. Hawken, R. J., Murtaugh, J., Flickinger, G. H., Yerle, M., Robic, A., Milan, D., Gellin, J., Beattie, C. W., Schook, L. B. & Alexander, L. J. (1999) A first-generation porcine whole-genome radiation hybrid map. Mamm. Genome 10:824-830.[Medline]
7. OBrien, S. J., Menotti-Raymond, M., Murphy, W. J., Nash, W. G., Wienberg, J., Stanyon, R., Copeland, N. G., Jenkins, N. A., Womack, J. E. & Graves, J.A.M. (1999) The promise of comparative genomics in mammals. Science (Washington, D.C.) 286:458-462, 479481.
8. Breen, M., Reimann, N., Bosma, A. A., Landon, D., Zijlstra, S., Bartnitzke, S., Switonski, M., Long, S. E., de Haan, N. A., Binns, M. M., Bullerdiek, J. & Langford, C. F. (1998) Standardisation of the chromosome nos. 2238 of the dog (Canis familiaris) with the use of chromosome painting probes 1998 Proc. 13th European Colloqium on Cytogenetics of Domestic Animals Budapest, Hungary.
9. Breen, M., Bullerdiek, J. & Langford, C. F. (1999) The DAPI banded karyotype of the domestic dog (Canis familiaris) generated using chromosome-specific paint probes. Chromosome Res 7:401-406.[Medline]
10. Switonski, M., Reimann, N., Bosma, A. A., Long, S., Bartnizke, S., Pienkowska, A., Moreno-Milan, M. M. & Fischer, P. (1996) Report on the progress of standardization of the G-banded canine (Canis familiaris) karyotype. Chromosome Res 4:306-309.[Medline]
11. Lingaas, F., Sorenson, A., Juneja, R. K., Johannson, S., Fredholm, M., Wintero, A. K., Sampson, J., Mellersh, C., Curzon, A., Holmes, N. G., Binns, M. M., Dickens, H. F., Ryder, E. J., Gerlach, J., Baumle, E. & Dolf, G. (1997) Towards construction of a canine linkage map: establishment of 16 linkage groups. Mamm. Genome 8:218-221.[Medline]
12. Mellersh, C. S., Langston, A. A., Acland, G. M., Fleming, M. A., Ray, K., Weigand, N. A., Francisco, L. V., Gibbs, M., Aguirre, G. D. & Ostrander, E. A. (1997) A linkage map of the canine genome. Genomics 46:326-336.[Medline]
13. Priat, C., Hitte, C., Vignaux, F., Renier, C., Jiang, Z., Jouquand, S., Chéron, A., André, C. & Galibert, F. (1998) A whole-genome radiation hybrid map of the dog genome. Genomics 54:361-378.[Medline]
14. Neff, M. W., Broman, K. W., Mellersh, C. S., Ray, K., Acland, G. M., Aguirre, G. D., Ziegle, J. S., Ostrander, E. A. & Rine, J. (1999) A second-generation genetic linkage map of the domestic dog, Canis familiaris. Genetics 151:803-820.
15. Werner, P., Mellersh, C. S., Raducha, M. G., DeRose, S., Acland, G. M., Prociuk, U., Wiegand, N., Aguirre, G. D., Henthorn, P. S., Patterson, D. F. & Ostrander, E. A. (1999) Anchoring of canine linkage groups with chromosome-specific markers. Mamm. Genome 10:814-823.[Medline]
16. Mellersh, C. S., Hitte, C., Richman, M., Vignaux, F., Priat, C., Jouquand, S., Werner, P., André, C., DeRose, S., Patterson, D. F., Ostrander, E. A. & Galibert, F. (2000) An integrated linkage-radiation hybrid map of the canine genome. Mamm. Genome 11:120-130.[Medline]
17. Breen, M., Jouquand, S., Renier, C., Mellersh, C. S., Hitte, C., Holmes, N. G., Chéron, A., Suter, N., Vignaux, F., Bristow, A. E., Priat, C., McCann, E., André, C., Boundy, S., Gitsham, P., Thomas, R., Bridge, W. L., Spriggs, H. F., Ryder, E. J., Curson, A., Sampson, J., Ostrander, E. A., Binns, M. M. & Galibert, F. (2001) Chromosome-specific single-locus FISH probes allow anchorage of an 1800-marker integrated radiation-hybrid/linkage map of the domestic dog genome to all chromosomes. Genome Res 11:1784-1795.
18. Guyon, R., Lorentzen, T. D., Hitte, C., Kim, L., Cadieu, E., Parker, H. G., Quignon, P., Lowe, J. K., Renier, C., Gelfenbeyn, B., Vignaux, F., DeFrance, H. B., Gloux, S., Mahairas, G. G., André, C., Galibert, F. & Ostrander, E. A. (2003) A 1-Mb resolution radiation hybrid map of the canine genome. Proc. Natl. Acad. Sci. U.S.A. 100:5296-5301.
19. Hieter, P. & Boguski, M. (1997) Functional genomics: its all how you read it. Science (Washington, D.C.) 278:601-602.
20. Australian National Genomic Information Service (ANGIS) Online Mendelian Inheritance in Animals () http://www.angis.org.au/Databases/BIRX/omia (accessed June 16, 2003).
21. Evans, J. P., Brinkhous, K. M., Brayer, G. D., Reisner, H. M. & High, K. A. (1989) Canine hemophilia B resulting from a point mutation with unusual consequences. Proc. Natl. Acad. Sci. U.S.A. 86:10095-10099.
22. Patterson, D. F. (2000) Companion animal medicine in the age of medical genetics. J. Vet. Intern. Med. 14:1-9.[Medline]
23. Zhu, X., Yan, D., Cooper, R. S., Luke, A., Ikeda, M. A., Chang, Y.-P.C., Weder, A. & Chakravarti, A. (2003) Linkage disequilibrium and haplotype diversity in the genes of the rennin-angiotensin system: findings from the family blood pressure program. Genome Res 13:173-181.
24. Ostrander, E. A. & Kruglyak, L. (2000) Unleashing the canine genome. Genome Res 10:1271-1274.
25. Sunvold, G. D. & Bouchard, G. F. (1998) Assessment of obesity and associated metabolic disorders. Reinhart, G. A. Carey, D. P. eds. Recent Advances in Canine and Feline Nutrition vol. II:135-148 Orange Frazer Press Wilmington, OH. .
26. Guptill, L., Glickman, L. & Glickman, N. (1999) Is canine diabetes on the increase?. Recent Advances in Clinical Management of Diabetes Mellitus 1999:24-27 Proceedings from a Symposium at North American Veterinary Conference Orlando, FL .
27. Mering, J. V. & Minkowski, O. (1889) Diabetes mellitus nach pancreas extirpation. Arch. Exp. Pathol. Pharmacol. 26:371.
28. Mason, E. (1970) Obesity in pet dogs. Vet. Rec. 86:612-616.[Medline]
29. Rocchini, A. P., Moorehead, C., Wentz, E. & Deremer, S. (1987) Obesity-induced hypertension in the dog. Hypertension 9:III-64-III-68.
30. Rocchini, A. P., Marker, P. & Cervenka, T. (1997) Time course of insulin resistance associated with feeding dogs a high fat diet. Am. J. Physiol. 272:E147-E154.
31. Struble, A. L., Feldman, E. C., Nelson, R. W. & Kass, P. H. (1998) Systemic hypertension and proteinuria in dogs with diabetes mellitus. J. Am. Vet. Med. Assoc. 213:822-825.[Medline]
32. Barrie, J., Watson, T.D.G., Stear, M. J. & Nash, A. S. (1993) Plasma cholesterol and lipoprotein concentrations in the dog: the effects of age, breed, gender and endocrine disease. J. Small Anim. Pract. 34:507-512.
33. Sottiaux, J. (1999) Atherosclerosis in a dog with diabetes mellitus. J. Small Anim. Pract. 40:581-584.[Medline]
34. Wyman, M., Sato, S., Akagi, Y., Terubayashi, H., Datiles, M. & Kador, P. F. (1988) The dog as a model for ocular manifestations of high concentrations of blood sugars. J. Am. Vet. Med. Assoc. 193:1153-1156.[Medline]
35. Plotnick, A. N. & Greco, D. S. (1995) Diagnosis of diabetes mellitus in dogs and cats. Vet. Clin. N. Am. Small Anim. Pract. 25:563-570.[Medline]
36. Willett, B. J., Flynn, J. N. & Hosie, M. J. (1997) FIV infection of the domestic cat: an animal model for AIDS. Immunol. Today 18:182-189.[Medline]
37. Sloth, C. (1992) Practical management of obesity in dogs and cats. J. Small Anim. Pract. 33:178-182.
38. Appleton, D. J., Rand, J. S. & Sunvold, G. S. (2000) Feline obesity: pathogenesis and implications for the risk of diabetes. Reinhart, G. A. Carey, D. P. eds. Recent Advances in Canine and Feline Nutrition vol. III:81-90 Orange Frazer Press Wilmington, OH. .
39. Galibert, F., Wilton, A. N. & Chuat, J.-C. (2001) The canine model in medical genetics. Ruvinsky, A. Sampson, J. eds. The Genetics of the Dog 2001:505-520 CAB International New York, NY. .
40. Eizirik, E., Murphy, W. J. & OBrien, S. J. (2001) Molecular dating and biogeography of the early placental mammal radiation. J. Heredity 92:212-219.
41. Scearce, L. M., Brestelli, J. E., McWeeney, S. K., Lee, C. S., Mazzarelli, J., Pinney, D. F., Pizarro, A., Stoeckert, C. J., Jr, Clifton, S. W., Permutt, M. A., Brown, J., Melton, D. A. & Kaestner, K. H. (2002) Functional genomics of the endocrine pancreas. The pancreas clone set and PancChip, new resources for diabetes research. Diabetes 51:1997-2004.
42. Daniel, H. (2002) Genomics and proteomics: importance for the future of nutrition research. Br. J. Nutr. 87:S305-S311.
43. Cousins, R. J. (1999) Nutritional regulation of gene expression. Am. J. Med. 106:20S-23S.[Medline]
44. Lee, C.-K., Klopp, R. G., Weindruch, R. & Prolla, T. A. (1999) Gene expression profile of aging and its retardation by caloric restriction. Science (Washington, D.C.) 285:1390-1393.
45. Nur, T., Peijnenburg, A.A.C.M., Noteborn, H.P.J.M., Baykus, H. & Reifen, R. (2002) DNA microarray technology reveals similar gene expression patterns in rats with vitamin A deficiency and chemically induced colitis. J. Nutr. 132:2131-2136.
46. Blanchard, R. K., Moore, J. B., Green, C. L. & Cousins, R. J. (2001) Modulation of intestinal gene expression by dietary zinc status: effectiveness of cDNA arrays for expression profiling of a single nutrient deficiency. Proc. Natl. Acad. Sci. U.S.A. 98:13507-13513.
47. Uyeda, K., Yamashita, H. & Kawaguchi, T. (2002) Carbohydrate responsive element-binding protein (ChREBP): a key regulator of glucose metabolism and fat storage. Biochem. Pharmacol. 7243:1-6.
48. Gannon, M. C. & Nuttall, F. Q. (1997) Effect of feeding, fasting, and diabetes on liver glycogen synthase activity, protein, and mRNA in rats. Diabetologia 40:758-763.[Medline]
49. Fahey, G. C., Jr (2003) Research needs in companion animal nutrition. Kvamme, J. Phillips, T. eds. Petfood Technology I 2003 Watt Publishing Co Mount Morris, IL (in press).
50. Da Silva, P., Aitken, R. P., Rhind, S. M., Racey, P. A. & Wallace, J. M. (2002) Impact of maternal nutrition during pregnancy on pituitary gonadotrophin gene expression and ovarian development in growth-restricted and normally grown late gestation sheep fetuses. Reproduction 123:769-777.[Abstract]
51. Crocker, A. W. & Robison, O. W. (2002) Genetic and nutritional effects on swine excreta. J. Anim. Sci. 80:2809-2816.
52. Roth, G. S., Lane, M. A., Ingram, D. K., Mattison, J. A., Elahi, D., Tobin, J. D., Muller, D. & Metter, E. J. (2002) Biomarkers of caloric restriction may predict longevity in humans. Science (Washington, D.C.) 297:811.
53. Nebert, D. W. (1997) Polymorphisms in drug-metabolizing enzymes: What is their clinical relevance and why do they exist?. Am. J. Hum. Genet. 60:265-271.[Medline]
54. Thayer, A. M. (2002) Genomics moves on. Chem. Eng. News: October 14, 2002 :25-36.
55. Swanson, K. S., Kuzmuk, K. N., Schook, L. B. & Fahey, G. C., Jr. (2003) Effects of diet and age on metabolic characteristics and gene expression profile in the dog. Part 2: Gene expression profiling. J. Anim. Sci. 81(Suppl. 1):259.
56. German, J. B., Roberts, M. A., Fay, L. & Watkins, S. M. (2002) Metabolomics and individual metabolic assessment: the next great challenge for nutrition. J. Nutr. 132:2486-2487.
57. German, J. B., Roberts, M. A. & Watkins, S. M. (2003) Genomics and metabolomics as markers for the interaction of diet and health: lessons from lipids. J. Nutr. 133:2078S-2083S.
58. Nakamura, E. M., Lane, A., Roth, G. S. & Ingram, D. K. (1998) A strategy for identifying biomarkers of aging: further evaluation of hematology and blood chemistry data from a calorie restriction study in Rhesus monkeys. Exp. Gerontol. 33:421-443.[Medline]
59. Swanson, K. S., Kuzmuk, K. N., Schook, L. B. & Fahey, G. C., Jr. (2003) Effects of diet and age on metabolic characteristics and gene expression profile in the dog. Part 1: Metabolic characteristics. J. Anim. Sci. 81(Suppl. 1):259.
60. Brown, L. P. (2001) Pet nutraceuticals: hype or wave of the future?. Nutraceuticals World. January/February 2001 issue:34-41.
61. Gohil, K. & Packer, L. (2002) Bioflavonoid-rich botanical extracts show antioxidant and gene regulatory activity. Ann. N.Y. Acad. Sci. 957:70-77.[Medline]
62. Bauer, J. E. (2001) Evaluation of nutraceuticals, dietary supplements, and functional food ingredients for companion animals. J. Am. Vet. Med. Assoc. 218:1755-1760.[Medline]
63. Ooms, T. G., Khan, S. A. & Means, C. (2001) Suspected caffeine and ephedrine toxicosis resulting from ingestion of an herbal supplement containing guarana and ma huang in dogs: 47 cases (19971999). J. Am. Vet. Med. Assoc. 218:225-229.[Medline]
64. Mäki, K., Liinamo, A.-E. & Ojala, M. (2000) Estimates of genetic parameters for hip and elbow dysplasia in Finnish Rottweilers. J. Anim. Sci. 78:1141-1148.
65. Li, T.-K., Yin, S.-J., Crabb, D. W., OConnor, S. & Ramchandani, V. A. (2001) Genetic and environmental influences on alcohol metabolism in humans. Alcohol Clin. Exp. Res. 25:136-144.[Medline]
66. Stewart, T. L. & Ralston, S. H. (2000) Role of genetic factors in the pathogenesis of osteoporosis. J. Endocrinol. 166:235-245.[Abstract]
67. Moyers, S. & Bailey, L. B. (2001) Fetal malformations and folate metabolism: review of recent evidence. Nutr. Rev. 59:215-235.[Medline]
68. Ueland, P. M., Hustad, S., Schneede, J., Refsum, H. & Vollset, S. E. (2001) Biological and clinical implications of the MTHFR C677T polymorphism. Trends Pharmacol. Sci. 22:195-201.[Medline]
69. Elliott, R. & Ong, T. J. (2002) Science, medicine, and the future: Nutritional genomics. Br. Med. J. 324:1438-1442.
70. Berdanier, C. D. (1999) Diabetes mellitus: a genetic disease. Nutr. Today 34:89-98.
71. Stride, A. & Hattersley, A. T. (2002) Different genes, different diabetes: lessons from maturity-onset diabetes of the young. Ann. Med. 34:207-216.[Medline]
72. Wilson, A. G., di Giovine, F. S. & Duff, G. W. (1995) Genetics of tumor necrosis factor-alpha in autoimmune, infectious, and neoplastic diseases. J. Inflamm. 45:1-12.[Medline]
73. Howell, W. M., Turner, S. J., Hourihane, J. O., Dean, T. P. & Warner, J. O. (1998) HLA class II DRB1, DQB1 and DPB1 genotypic associations with peanut allergy: evidence from a family-based and case-control study. Clin. Exp. Allergy 28:156-162.[Medline]
74. Pietrangelo, A. (2002) Physiology of iron transport and the hemochromatosis gene. Am. J. Physiol. 282:G403-G414.
75. Ye, S. Q. & Kwiterovich, P. O., Jr (2000) Influence of genetic polymorphisms on responsiveness to dietary fat and cholesterol. Am. J. Clin. Nutr. 72:1275S-1284S.
76. Weggemans, R. M., Zock, P. L., Ordovas, J. M., Ramos-Galluzzi, J. & Katan, M. B. (2001) Genetic polymorphisms and lipid response to dietary changes in humans. Eur. J. Clin. Investig. 31:950-957.[Medline]
77. Yuzbasiyan-Gurkan, V., Blanton, S. H., Cao, Y., Ferguson, P., Li, J., Venta, P. J. & Brewer, G. J. (1997) Linkage of a microsatellite marker to the canine copper toxicosis locus in Bedlington terriers. Am. J. Vet. Res. 58:23-27.[Medline]
78. Kramer, J. W., Klaassen, J. K., Baskin, D. G., Prieur, D. J., Rantanen, N. W., Robinette, J. D., Graber, W. R. & Rashti, L. (1988) Inheritance of diabetes mellitus in Keeshond dogs. Am. J. Vet. Res. 49:428-431.[Medline]
79. Giger, U., Smith, B. F., Woods, C. B., Patterson, D. F. & Stedman, H. (1992) Inherited phosphofructokinase deficiency in an American Cocker Spaniel. J. Am. Vet. Med. Assoc. 201:1569-1571.[Medline]
80. Kishnani, P. S., Bao, Y., Wu, J.-Y., Brix, A. E., Lin, J.-L. & Chen, Y. T. (1997) Isolation and nucleotide sequence of canine glucose-6-phosphatase mRNA: identification of mutation in puppies with glycogen storage disease type IA. Biochem. Mol. Med. 61:168-177.[Medline]
81. Kimmel, S. E., Ward, C. R., Henthorn, P. S & Hess, R. S. (2002) Familial insulin-dependent diabetes mellitus in Samoyed dogs. J. Am. Anim. Hosp. Assoc. 38:235-238.
82. Henthorn, P. S., Somberg, R. L., Fimiani, V. M., Puck, J. M., Patterson, D. F. & Felsburg, P. J. (1994) IL-2R
gene microdeletion demonstrates that canine x-linked severe combined immunodeficiency is a homologue of the human disease. Genomics 23:69-74.[Medline]
83. Ameratunga, R., Winkelstein, J. A., Brody, L., Binns, M., Cork, L. C., Colombani, P. & Valle, D. (1998) Molecular analysis of the third component of canine complement (C3) and identification of the mutation responsible for hereditary canine C3 deficiency. J. Immunol. 160:2824-2830.
84. Kijas, J. M., Bauer, T. R., Jr, Gafvert, S., Marklund, S., Trowald-Wigh, G., Johannisson, A., Hedhammar, A., Binns, M., Juneja, R. K., Hickstein, D. D. & Andersson, L. (1999) A missense mutation in the ß-2 integrin gene (ITGB2) causes canine leukocyte adhesion deficiency. Genomics 61:101-107.[Medline]
85. Juneja, R. K., Gahne, B., Lukka, M. & Ehnholm, C. (1989) A previously reported polymorphic plasma protein in dogs and horses, identified as apolipoprotein A-IV. Anim. Genet. 20:59-63.[Medline]
86. Ginzinger, D. G., Lewis, M.E.S., Ma, Y., Jones, B. R., Liu, G., Jones, S. D. & Hayden, M. R. (1996) A mutation in the lipoprotein lipase gene is the molecular basis of chylomicronemia in a colony of domestic cats. J. Clin. Investig. 97:1257-1266.[Medline]
This article has been cited by other articles:
![]() |
J. P. McNamara ASAS Centennial Paper: The future of teaching and research in companion animal biology in departments of animal sciences J Anim Sci, January 1, 2009; 87(1): 447 - 454. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||