University of Rochester

About: University of Rochester is a education organization based out in Rochester, New York, United States. It is known for research contribution in the topics: Population & Laser. The organization has 63915 authors who have published 112762 publications receiving 5484122 citations. The organization is also known as: Rochester University.

Multilocus Sequence Typing System for the Endosymbiont Wolbachia pipientis

Abstract: The eubacterial genus Wolbachia comprises one of the most abundant groups of obligate intracellular bacteria, and it has a host range that spans the phyla Arthropoda and Nematoda. Here we developed a multilocus sequence typing (MLST) scheme as a universal genotyping tool for Wolbachia. Internal fragments of five ubiquitous genes (gatB, coxA, hcpA, fbpA, and ftsZ) were chosen, and primers that amplified across the major Wolbachia supergroups found in arthropods, as well as other divergent lineages, were designed. A supplemental typing system using the hypervariable regions of the Wolbachia surface protein (WSP) was also developed. Thirty-seven strains belonging to supergroups A, B, D, and F obtained from singly infected hosts were characterized by using MLST and WSP. The number of alleles per MLST locus ranged from 25 to 31, and the average levels of genetic diversity among alleles were 6.5% to 9.2%. A total of 35 unique allelic profiles were found. The results confirmed that there is a high level of recombination in chromosomal genes. MLST was shown to be effective for detecting diversity among strains within a single host species, as well as for identifying closely related strains found in different arthropod hosts. Identical or similar allelic profiles were obtained for strains harbored by different insect species and causing distinct reproductive phenotypes. Strains with similar WSP sequences can have very different MLST allelic profiles and vice versa, indicating the importance of the MLST approach for strain identification. The MLST system provides a universal and unambiguous tool for strain typing, population genetics, and molecular evolutionary studies. The central database for storing and organizing Wolbachia bacterial and host information can be accessed at http://pubmlst.org/wolbachia/.

Action-Video-Game Experience Alters the Spatial Resolution of Vision:

Abstract: Playing action video games enhances several different aspects of visual processing; however, the mechanisms underlying this improvement remain unclear. Here we show that playing action video games can alter fundamental characteristics of the visual system, such as the spatial resolution of visual processing across the visual field. To determine the spatial resolution of visual processing, we measured the smallest distance a distractor could be from a target without compromising target identification. This approach exploits the fact that visual processing is hindered as distractors are brought close to the target, a phenomenon known as crowding. Compared with nonplayers, action-video-game players could tolerate smaller target-distractor distances. Thus, the spatial resolution of visual processing is enhanced in this population. Critically, similar effects were observed in non-video-game players who were trained on an action video game; this result verifies a causative relationship between video-game play and augmented spatial resolution.

A hierarchy of intrinsic timescales across primate cortex

Abstract: Specialization and hierarchy are organizing principles for primate cortex, yet there is little direct evidence for how cortical areas are specialized in the temporal domain. We measured timescales of intrinsic fluctuations in spiking activity across areas and found a hierarchical ordering, with sensory and prefrontal areas exhibiting shorter and longer timescales, respectively. On the basis of our findings, we suggest that intrinsic timescales reflect areal specialization for task-relevant computations over multiple temporal ranges.

Introducing Archigos: A Dataset of Political Leaders

Abstract: Scholars for a long time theorized about the role of political leaders, but empirical research has been limited by the lack of systematic data about individual leaders. Archigos is a new dataset with information on leaders in 188 countries from 1875 to 2004. We provide an overview of the main features of this data. Archigos specifically identifies the effective leaders of each independent state; it codes when and how leaders came into power, their age, and their gender, as well as their personal fate one year after they lost office. We illustrate the utility of the Archigos dataset by demonstrating how leader attributes predict other features of interest in International Relations and Comparative Politics. Crisis interactions differ depending on whether leaders face each other for the first time or have had prior interactions. Irregular leader changes can help identify political change in autocracies not apparent from data that consider only the democratic nature of institutions. Finally, transitions to democracy in the third wave are more likely to fail in instances where autocratic rulers were punished after leaving office. Our examples illustrate new empirical findings that simply could not be explored in existing data sources. Although selective, our overview demonstrates how Archigos bears considerable promise in providing answers to new and old research questions and opens up new avenues for research on individual leaders as decisionmakers.