2014 — 2017 |
Diogo, Rui |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Collaborative Research: Skeletal Muscle Constraint On Relative Brain Size
The growth and maintenance of the brain require substantial investments of energy, most especially for organisms which have evolved very large and complex brains. One of the most defining characteristics for the human species and the other primates is large brain size relative to body size. Yet, despite having larger brains than most other mammals, human and nonhuman primates do not show an increase in their basal metabolic rate (a measure of energy utilization by the body) compared to other mammals, raising the question of how the high energetic cost of such large brains is met. This trend suggests that there is an energetic trade-off with another energy-demanding tissue in the body when brain size increases; if we are not using more energy overall, then energy that could be invested in another part of our body is instead likely being utilized to fuel our large brains. Preliminary research shows that primates have low muscle mass when compared to other animals, and humans, who have the most notable increase in brain size, show a 50% reduction in overall muscle mass when compared with other mammals. This research therefore tests the hypothesis that skeletal muscle is in direct competition with the brain for glucose and oxygen, such that the high energetic demands of large brain size are met through constraining muscle mass, constituting an energetic tradeoff between skeletal muscle growth and maintenance, and brain growth and maintenance.
If the brain does constrain muscle mass, then 1)larger brains should be associated with decreased skeletal muscle mass; 2)the percentage of type I muscle fibers (a type of muscle cell that uses energy [glucose, a type of sugar] in a similar fashion to brain cells) should show a relative decrease in relation to larger brain size; and 3)muscle mass development should be suppressed until brain growth is complete, and once complete, there should be an increase in muscle mass development. To test these predictions, muscle tissue samples will be collected from a diverse array of primate specimens, comprising a range of brain sizes and representing all developmental stages. The generated muscle energy use profiles for each species will then be analyzed in relation to variation in brain size, with the results applied to understanding the interaction between brain size and evolved metabolic strategies.
Reducing muscle mass may have predisposed primates such as humans to certain metabolic disorders (e.g., type 2 diabetes); thus, understanding if there is such a constraint has important health implications. Ultimately, the data collected can be incorporated into studies of growth and development, as well as biomechanics, and the results may encourage development of biomedical gene therapies. The research also will provide a rich database for scientists in other disciplines focusing on animal anatomy and physiology, facilitating and expanding future research. The collaborative project brings together international researchers, and will support the training of multiple undergraduate and graduate students from three US universities. As two of these universities are in EPSCoR states, and one is a historically minority-serving institution, the project will foster research advancement for underserved and underrepresented populations.
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0.961 |
2015 — 2016 |
Diogo, Rui Villmoare, Brian |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
A Multidisciplinary Network Analysis of Muskuloskeletal Complexity, Integration, Modularity, and Evolvability of the Primate Head and Limbs
Primates are a diverse group of mammals in terms of their anatomy, and it is not well understood how the various anatomical parts (modules) of the primate body evolved into very different forms that still function properly. This question extends to modern humans, whose anatomy has changed dramatically from our ape ancestors, allowing complex functions to include breathing, speaking, chewing, swallowing, walking, running, and using tools. New studies, methods and techniques are thus needed to identify and compare patterns of organization, integration, modularity, evolvability and complexity of the muscles and skeleton of the head and limbs, to have a more comprehensive and integrative view of the evolutionary history of the human body. This pilot project will investigate these anatomical relationships and patterns through sophisticated anatomical network analyses of existing data from a wide range of primate species. Broader impacts of this project include student support and training in the life sciences at universities that serve underrepresented minorities, K-12 and public science outreach efforts, and open-access websites, databases, and repositories for data that will be of interest across a range of disciplines.
A number of researchers have focused on how the various structures of the primate body evolved into very different forms that still function properly, but there are differing views about how to answer this fundamental question for human evolution. Concepts like anatomical "modules" and "integration" are mentioned, but there is a lack of agreement about what these terms mean in the human body. This project uses anatomical network analysis to identify and compare patterns of organization, integration, modularity, evolvability and complexity of muscles and skeleton of the head and limbs. A unique strength of this network approach is that it enables direct comparisons among different tissues (e.g. bones, muscles) and body parts with vastly different architectures (e.g. heads, limbs). This project will combine large and complex amounts of data collected from numerous primate taxa and different structures and tissues to detect muscle, skeletal and musculoskeletal head and limb modules and morphological patterns that cannot be detected by using other methods, and compare these modules and patterns to infer evolutionary trends in primate and human body morphology in a more comprehensive way. Specific hypotheses about the relative modularity and complexity of the head versus limbs, and about increased and unique network complexity in the human head, will be addressed.
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0.961 |