The annual devastation of soybean agriculture by the Phytophthora

sojae pathogen has caused worldwide concern in the past decades. This

loss accumulates billions dollars in cost each year. A previous

Independent Study by Matthew Reeder in 2014 investigated the targeted

conserved biological network of this pathogen. PsAvh172 an RxLR

proteins was expected to greatly inhibits host cells growth and function.

To characterize the response of the target host in the release of PsAvh172

protein, an RNA-Seq analysis was performed, but no denite conclusion

could be drawn from this analysis. In this study, we use linkage-based

hierarchical clustering to further characterize the data from Reeder's

research to analyze Phytophthora sojae infection process. This not only

provides insight into CCD but also adds to the literature of models of

interacting species, in which mutualisms have been less of a focus.


Regan, Erzsebet

Second Advisor

Long, Colby


Mathematics; Biochemistry and Molecular Biology

Publication Date


Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis



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