Some recent results on niche graphs

AbstractIn an earlier paper entitled “Niche graphs” written by Cable, Jones, Lundgren and Seager, niche graphs were introduced and examples were provided of graphs which have niche number 0, 1, 2, and ∞. However, no examples were found of a niche graph having finite niche number 3 or larger. We still have had no success in our efforts to find such a graph. Nevertheless we have gotten some interesting results. For example, we show in this paper that if there is such a graph, then there must be one which is connected. We also show that the niche number of a graph which has a finite niche number is ≤23|V(G)|. In addition we determine the niche number of all “wheel” graphs

Political Economy of John Ruskin

Economic

A Study of Prehistoric Utilization of the Inter-Riverine Piedmont: The U.S. 176 By-Pass Survey from Union to Pacolet, South Carolina

https://scholarcommons.sc.edu/archanth_books/1114/thumbnail.jp

An Archeological Reconnaissance of the Bobby Jones Expressway Corridor, Aiken County, South Carolina

https://scholarcommons.sc.edu/archanth_books/1108/thumbnail.jp

The Disease Triangle as a Reusable Learning Object

The disease triangle is a widely used, practical conceptual model for teaching basic plant pathology. The concept is often used as a springboard to introduce students to advanced concepts on how diseases develop and the significance of plant diseases in the environment. This article describes development and recommended usage of an interactive learning object entitled "The Disease Triangle." This object provides three levels of instruction on the disease triangle concept, along with appropriate user activities, including concept mapping, and assessments. Research skills instruction to enhance further application of the concept is also recommended.This project was funded in part by the Ohio Board of Regents grant to Ohio State University Technology Enhanced Learning and Research (TELR

Influence of host phylogeny and water physicochemistry on microbial assemblages of the fish skin microbiome

The skin of fish contains a diverse microbiota that has symbiotic functions with the host, facilitating pathogen exclusion, immune system priming, and nutrient degradation. The composition of fish skin microbiomes varies across species and in response to a variety of stressors, however, there has been no systematic analysis across these studies to evaluate how these factors shape fish skin microbiomes. Here, we examined 1922 fish skin microbiomes from 36 studies that included 98 species and nine rearing conditions to investigate associations between fish skin microbiome, fish species, and water physiochemical factors. Proteobacteria, particularly the class Gammaproteobacteria, were present in all marine and freshwater fish skin microbiomes. Acinetobacter, Aeromonas, Ralstonia, Sphingomonas and Flavobacterium were the most abundant genera within freshwater fish skin microbiomes, and Alteromonas, Photobacterium, Pseudoalteromonas, Psychrobacter and Vibrio were the most abundant in saltwater fish. Our results show that different culturing (rearing) environments have a small but significant effect on the skin bacterial community compositions. Water temperature, pH, dissolved oxygen concentration, and salinity significantly correlated with differences in beta-diversity but not necessarily alpha-diversity. To improve study comparability on fish skin microbiomes, we provide recommendations for approaches to the analyses of sequencing data and improve study reproducibility