University of Georgia

About: University of Georgia is a education organization based out in Athens, Georgia, United States. It is known for research contribution in the topics: Population & Gene. The organization has 41934 authors who have published 93622 publications receiving 3713212 citations. The organization is also known as: UGA & Franklin College.

Emphasizing the ecology in parasite community ecology.

Abstract: In natural systems, individuals are often co-infected by many species of parasites. However, the significance of interactions between species and the processes that shape within-host parasite communities remain unclear. Studies of parasite community ecology are often descriptive, focusing on patterns of parasite abundance across host populations rather than on the mechanisms that underlie interactions within a host. These within-host interactions are crucial for determining the fitness and transmissibility of co-infecting parasite species. Here, we highlight how techniques from community ecology can be used to restructure the approaches used to study parasite communities. We discuss insights offered by this mechanistic approach that will be crucial for predicting the impact on wildlife and human health of disease control measures, climate change or novel parasite species introductions.

Qubit Architecture with High Coherence and Fast Tunable Coupling

Abstract: We introduce a superconducting qubit architecture that combines high-coherence qubits and tunable qubit-qubit coupling. With the ability to set the coupling to zero, we demonstrate that this architecture is protected from the frequency crowding problems that arise from fixed coupling. More importantly, the coupling can be tuned dynamically with nanosecond resolution, making this architecture a versatile platform with applications ranging from quantum logic gates to quantum simulation. We illustrate the advantages of dynamical coupling by implementing a novel adiabatic controlled-z gate, with a speed approaching that of single-qubit gates. Integrating coherence and scalable control, the introduced qubit architecture provides a promising path towards large-scale quantum computation and simulation.

Data access for the 1,000 Plants (1KP) project.

Abstract: The 1,000 plants (1KP) project is an international multi-disciplinary consortium that has generated transcriptome data from over 1,000 plant species, with exemplars for all of the major lineages across the Viridiplantae (green plants) clade. Here, we describe how to access the data used in a phylogenomics analysis of the first 85 species, and how to visualize our gene and species trees. Users can develop computational pipelines to analyse these data, in conjunction with data of their own that they can upload. Computationally estimated protein-protein interactions and biochemical pathways can be visualized at another site. Finally, we comment on our future plans and how they fit within this scalable system for the dissemination, visualization, and analysis of large multi-species data sets.

The use of restriction endonucleases to measure mitochondrial DNA sequence relatedness in natural populations. III. Techniques and potential applications.

Abstract: Restriction endonucleases and agarose gel electrophoresis have been used to demonstrate extensive nucleotide sequence diversity in mitochondrial DNA (mtDNA) within and between conspecific populations of rodents and other mammals. Cleavage of mtDNA samples with a relatively small number of endonucleases provides information concerning the phylogenetic relatedness of individual organisms which cannot now be readily obtained by any other type of molecular analysis. This information is qualitatively different from that available from the study of nuclear genes or gene products because the mitochondrial genome is inherited intact from the female parent and is not altered by recombination or meiotic segregation. The requirements for large tissue samples and laborious DNA purification procedures have imposed severe limitations on the kinds of population surveys in which this technique could be utilized. Here, we show that these difficulties can be overcome by using DNA-DNA hybridization to detect minute amounts of mtDNA in crude tissue fractions which can be more easily and rapidly prepared from very small amounts of tissue without the use of expensive and immobile laboratory equipment. The techniques are described in detail in an effort to make restriction analysis of mtDNA available to biologists who may be unfamiliar with current DNA technology.