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Hamm, C. A.

Publications and source records attributed to Hamm, C. A..

3 recordsLinked to original sources

A flow cytometric approach to identifying the relative abundance and functional capacities of hemocyte subsets in the American cockroach, Periplaneta americana (L.)

There is growing interest in insects as subjects for comparative immunological studies; however, very little has been done to wholistically characterize insect immune cells using modern techniques such as flow cytometry, and virtually no work of this kind has been done in Periplaneta americana. Here, we use an array of general molecular probes including fluorescent lectins, lysosomal indicators, and functional assays to distinguish and characterize insect immune cells (hemocytes) based on cell markers and functions. We have utilized fluorescent tracers of lysosomal content, ROS production, and phagocytosis, as well as microscopic examination of morphology and melanization to distinguish hemocyte types based on these functions. Our findings support the use of lectins as an additional means of separating at least three populations of cockroach immune cells coupled with morphological measurements such as size and complexity. Our results indicate that many functions are enriched in the more granular hemocyte population as these are the cells that undergo phagocytosis and melanization.

immunology↗

Chromosome Number of the Monarch Butterfly, Danaus plexippus (Linnaeus 1758) and the Danainae

The monarch butterfly, Danaus plexippus (Linnaeus 1758) is a charismatic butterfly known for its multi-generational migration in Eastern North America, and is emerging as an important system in the study of evolutionary genetics. Assigning genes or genetic elements to chromosomes is an important step when considering how genomes evolved. The monarch butterfly has a reported haploid chromosome number of 30. The specimens that this count is based on are from Madras, India where D. plexippus does not occur. As a consequence the reported haplotype for the D. plexippus is incorrect. A literature review revealed that the specimens this count was based on were most likely Danaus genutia (Cramer 1779), which Linnaeus and others conflated with D. plexippus. In a 1954 Opinion (#282) the International Code of Zoological Nomenclature decided that the name D. genutia refers to specimens originating from the Orient and D. plexippus to those from North America. To clarify the haplotype number of D. plexippus from North America I conducted chromosome squashes of male 5th instar larvae. All specimens examined had a haploid chromosome count of n = 28. Following these new data, I then reconstructed the evolution of haplotypes throughout the Danainae subfamily to provide a testable hypothesis on the evolution of chromosome number for this group.

evolutionary biology↗

A hierarchical Bayesian approach to estimate endosymbiont infection rates

Endosymbionts may play an important role in the evolution of the Insecta. Bacteria such as Wolbachia, Cardinium, and Rickettsia are known to manipulate host reproduction to facilitate their own. Indeed, there are many documented cases where Wolbachia (Alphaproteobacteria: Rickettsiaceae) induces one of four manipulative phenotypes (cytoplasmic incompatibility, male killing, feminization, and parthenogenesis). The scale of infection among species has been a major subject of investigation, but quantification has been difficult because various approaches have yielded different estimates. One under-appreciated aspect of this problem arises when multiple--yet independent--samples are taken within a taxon. When independent samples within a taxon are treated as levels of a hierarchy, the problem is greatly simplified because data are partially pooled according to taxon. Here, we present a hierarchical Bayesian approach to estimate infection frequency where multiple independent samples were collected across several taxonomic levels. We apply this model to estimate the rates of infection for Wolbachia in the Lepidoptera, and then extend the model to account for phylogenetic non-independence. In addition, we highlight the current knowledge regarding Wolbachia and its effects within Lepidoptera. Our model estimates that the rate of endosymbiont infection for the Lepidoptera is approximately 12%. Given our limited knowledge regarding the phenotypes induced by these endosymbionts and the low infection rate, we urge caution when extrapolating the results of positive assays.

evolutionary biology↗