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- All Subjects: Biology
- All Subjects: Genomics
- All Subjects: Alzheimer's Disease
- Creators: Kusumi, Kenro
- Resource Type: Text
Heat shock factors (HSFs) are transcriptional regulators that play a crucial role in the cellular response to environmental stress, particularly heat stress. Understanding the evolution of HSFs can provide insights into the adaptation of organisms to their changing environments. This project explored the evolution of HSFs within tetrapods, a group of animals that includes amphibians, reptiles, turtles, and mammals. Through an analysis of the available genomic data and subsequent genomic methodologies, HSFs have undergone significant changes throughout tetrapod evolution, as evidenced by loss events observed in protein sequences of the species under examination. Moreover, several conserved and divergent regions within HSF proteins were identified, which may reflect functional differences between HSFs in different tetrapod lineages. Our findings suggest that the evolution of HSFs has contributed to the adaptation of tetrapods to their diverse environments and that further research on the functional and regulatory differences between HSFs may provide a better understanding of how organisms cope with stress in heat-stressed environments.
Structural Equation Modeling (SEM) is a multivariate analysis methodology that could potentially be utilized to examine the barrier effect that river systems have on genetic differentiation. In this project, river systems are split into the variables of Daily Average Discharge, Average River Width, and Seasonality measurements and regressed onto the genetic differentiation, measured as Fst. This data was collected from the USGS database (U.S. Geological Survey, 2020), sequencing files from differing literature, or Google Earth measurements. Different Structural Equation Modeling models are used to model different system structures as well as compare it to more traditional methodologies like Generalized Linear Modeling and Generalized Linear Mixed Modeling. Ultimately results were limited by the small sample size, however, interesting patterns still emerged from the models. The SE models indicate that Discharge plays a primary role in the genetic differentiation of adjacent river populations. In addition to this, the results demonstrate how quantification of indirect effects, particularly those relating to discharge, give more informative interpretations than traditional multivariate statistics alone. These findings prompt further investigations into this potential methodology.