Kaitlyn Dalrymple- Master of Science
- Laboratory Assistant at College of Charleston
Kaitlyn Dalrymple
- Master of Science
- Laboratory Assistant at College of Charleston
Concentrations: evolutionary biology, taxonomy, parasitology
About
2
Publications
235
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4
Citations
Introduction
Studying parasite ecology and evolutionary biology of marine platyhelminths.
Skills and Expertise
Current institution
Publications
Publications (2)
Neonates of hammerhead sharks (Sphyrnidae), Sphyrna lewini (Griffith and Smith, 1834), the sympatric cryptic species, Sphyrna gilberti Quattro et al., 2013, and their hybrids were captured in the western North Atlantic, along the coast of South Carolina, USA, between 2018 and 2019 and examined for gill monogenoids. Parasites were identified and red...
Examination of 32 spiral valves from neonate specimens of hammerhead shark Sphyrna spp. (Carcharhiniformes: Sphyrnidae) captured between June and August 2018 off the Atlantic coast of South Carolina, USA, revealed the presence of the capillariid nematode Piscicapillaria bursata (Capillariidae) in the Carolina hammerhead S. gilberti, the scalloped h...
Questions
Question (1)
I am trying to find the best way to code a concatenated morphology/molecular data analysis, when the main issue is outgroup selection. For one of my sequenced regions, I do not have a sequence from the outgroup most closely related. I have run several molecular sequences using multiple outgroups, and I am satisfied with the results, however for the morphological coding, this is where I run into issues as the morphological data from some of the outgroups is irrelevant or not-useful as they are not as closely related to the ingroup taxon, and do not share as many characters. I have seen the morphological data coded with outgroups used as functional outgroups, essentially their determined plesiomorphic states were combined and coded as just an ancestor with those traits. How would that work in a concatenated analysis with DNA sequences?
