Functional genomics and rat models
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The 20th Century has seen a remarkable number of inventions and technological advances in virtually all aspects of human life and health care. Many areas of biomedical research have made great strides in unraveling the cause of human disease and in developing new therapies to counter, or at least improve, outcome from disease. However, the cause of the vast majority of common disease remains poorly defined. In the final year of the millennium, the release of the draft sequence of the human genome promises to bring in a new era for basic science research and, hopefully, unprecedented growth in our understanding of human disease. For this to occur there is a critical need to annotate the genomic sequence with gene function and basic biology. Typically, the view from the geneticist immediately turns to mouse, as the mammalian contributor. Yet, not all biologists are willing to convert to the mouse as their system of choice, in many cases because of the existence of better models. Although the mouse is undoubtedly going to play a major role in contributing to the annotation of gene function, other mammalian species will also make significant contributions. This Insight/Outlook piece focuses on the role the rat will play in annotating the genome in the functional genomics era. The laboratory rat, Rattus norvegicus, was the first mammalian species domesticated for scientific research, with work dating back to before 1850 (Lindsey 1979). From this auspicious beginning, the rat has become the most widely studied experimental animal model for biomedical research. Since 1966 (the earliest year covered by the Medline database), nearly 500,000 research articles reporting the use of rats have been published, most focused on evaluating the biology and/or the pathobiology of the rat. In contrast to its central role in the study of behavior, biochemistry, neurobiology, physiology, and pharmacology, the rat has lagged far behind the mouse as a genetic “model” organism, until recently. Historically, rat genetics had a surprisingly early start. The first genetic studies were carried out by Crampe from 1877 to 1885 and focused on the inheritance of coat color (Lindsey 1979). Hugo De Vries, Karl Correns, and Erich Tschermak rediscovered Mendel’s laws at the turn of the century, and Bateson used these concepts in 1903 to demonstrate that rat coat color is a Mendelian trait (Lindsey 1979). The first rat inbred strain, PA, was established by King in 1909—the same year that inbreeding began for the first inbred strain of mouse, DBA (Lindsey 1979). Despite this parallel start, the mouse soon became the model of choice for mammalian geneticists, whereas the rat became the model of choice for physiologists, nutritionists, and other biomedical researchers. Geneticists preferred the mouse because of its smaller size, which simplified housing requirements, and the availability of many coat color and other mutants exhibiting Mendelian patterns of inheritance, which had been collected by mouse fanciers (Nishioka 1995). Physiologists and other biomedical researchers favored the rat because its larger size facilitated experimental interventions. Over time a large number of rat strains were used to develop disease models by selective breeding, which “fixes” natural disease alleles in particular strains or colonies (Greenhouse et al. 1990). For example, there are inbred strains of rats used for research in the following areas: addiction, aging, anatomy, autoimmune diseases, behavior, blood diseases, breast cancer, cardiovascular diseases, cancer, comparative genomics, dental diseases, diseases of the skin and hair, endocrinology, eye disorders, growth and reproduction, hematologic disorders, histology, kidney diseases, metabolic disorders, neurological and neuromuscular diseases, nutrition, pathophysiology, pharmacology, pulmonary diseases, physiology, reproductive disorders, skeletal disorders, sleep apnea, transplantation and immunogenetics, toxicology, and urological disorders (Gill et al. 1989; Greenhouse et al. 1990; James and Lindpaintner 1997).
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The rat has potential for geroscience research because its aging physiology is closer to humans than mice, especially for onset of certain age-related conditions, and its larger size permits serial sampling and imaging not feasible in mice.
“However, the rat has tremendous potential for use in geroscience research, owning to its aging physiology being closer to humans compared to mice, especially with respect to onset of certain age-related conditions, as well as its larger size, which permits serial sampling and imaging studies not feasible in the mouse [36–41].”
From Reducing Senescent Cell Burden in Aging and Disease (2020) · cites this paper as [39]
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The Rat as an Experimental Animal
Gill, T. J., Smith, G. J., Wissler, R. W., & Kunz, H. W. (1989) · Science · doi:10.1126/science.2665079 · Cited by 224 · see citing works
James, M. R. (1997) · Trends in Genetics · doi:10.1016/s0168-9525(97)01130-x · Cited by 46 · see citing works
Lindsey, J. R. (1979) · Elsevier eBooks · doi:10.1016/b978-0-12-074901-0.50008-3 · Cited by 42 · see citing works
Synonymous and Nonsynonymous Substitution Distances Are Correlated in Mouse and Rat Genes
Makałowski, W., Boguski, M. S., Hughes, A. L., & Yeager, M. (1998) · Journal of Molecular Evolution · doi:10.1007/pl00006367 · Cited by 41 · see citing works
The origin of common laboratory mice
Nishioka, Y. (1995) · Genome · doi:10.1139/g95-001 · Cited by 41 · see citing works
Festing, M. F. W. (1981) · Behavior Genetics · doi:10.1007/bf01070001 · Cited by 36 · see citing works
PHYSIOLOGICAL GENETICS: APPLICATION TO HYPERTENSION RESEARCH
Jacob, H. J. (1999) · Clinical and Experimental Pharmacology and Physiology · doi:10.1046/j.1440-1681.1999.03078.x · Cited by 20 · see citing works
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Research works printed but not linked: 3
- Rat Genome Groups: Pieter DeJong, Buffalo, NY, USA; Detlev Ganten and Margit Knoblauch, Berlin, Germany; Peter Goodfellow and Linda McCarthy, Cambridge, UK; Howard Jacob, Anne Kwitek-Black, and Peter Tonellato, Milwaukee, WI, USA;
- Eric Lander, Cambridge, MA, USA;
- Mark Lathrop, Michael James, and Tony Monaco, Oxford, UK;
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Progress and prospects in rat genetics: a community view
Aitman, T. J., Critser, J. K., Cuppen, E., Dominiczak, A., Fernandez-Suarez, X. M., Flint, J., Gauguier, D., Geurts, A. M., Gould, M., Harris, P. C., et al. (2008) · Nature Genetics · doi:10.1038/ng.147 · Cited by 291 · see citing works
Self-citationReducing Senescent Cell Burden in Aging and Disease
Pignolo, R. J., Passos, J. F., Khosla, S., Tchkonia, T., & Kirkland, J. L. (2020) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2020.03.005 · Cited by 177 · see citing works
Wood, S. H., Craig, T., Li, Y., Merry, B., & de Magalhães, J. P. (2013) · AGE · doi:10.1007/s11357-012-9410-1 · Cited by 105 · see citing works
Genomic landscape of rat strain and substrain variation
Hermsen, R., de Ligt, J., Spee, W., Blokzijl, F., Schäfer, S., Adami, E., Boymans, S., Flink, S., van Boxtel, R., van der Weide, R. H., et al. (2015) · BMC Genomics · doi:10.1186/s12864-015-1594-1 · Cited by 93 · see citing works
<i>Molecular Mechanisms of Sleep and Wakefulness</i>
Mackiewicz, M., Naidoo, N., Zimmerman, J. E., & Pack, A. I. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1417.030 · Cited by 93 · see citing works
(2020) · Database · doi:10.1093/database/baaa086 · Cited by 5 · see citing works
- Authors
- Jacob, H. J.
- Affiliations
- Medical College of Wisconsin (US)
- Corresponding author
- Jacob, Howard J.
- ORCID
- Jacob, Howard J.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 1999-11-01
- Volume
- 9
- Issue
- 11
- Pages
- 1013-1016
- ISSN
- 1088-9051 (ISSN-L)
- 1549-5469
- OpenAlex
- W2019538882
- Cited by
- 190
- References
- 7
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 6 · 2023: 2 · 2022: 8 · 2021: 4 · 2020: 11 · 2019: 7 · 2018: 12 · 2017: 8 · 2016: 8 · 2015: 7 · 2014: 10 · 2013: 11 · 2012: 8
- Type
- posted content
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Genome Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Animal Genetics and Reproduction
- Keywords
- laboratory rats, Rattus norvegicus, functional genomics, rat genetics, gene function annotation, genome annotation, inbred rat strains
- MeSH terms
- Animals, Models, Genetic, Genome, Rats
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