Grapevine Vein Clearing Virus: Epidemiological Patterns and Construction of a Clone

Grapevine vein clearing virus (GVCV) is a recently discovered virus belonging to the Badnavirus genus. Characteristic to its name, the virus is associated with a disease where symptoms manifest as pronounced vein-clearing, resulting in severe berry deformation and vine decline in susceptible grape varieties. Sustainable production of wine is dependent on healthy plants. The associated disease is mainly found in Midwest vineyards. Attempts were made in this thesis to provide evidence of causality of the virus to the associated disease and to infer the historical path and migration pattern of GVCV. Conclusions and discussions will provide grape producers with the latest information in designing management strategies to prevent the disease. The results support that GVCV is likely a native endemic virus, which has recently cultivated grapevines. This evidence is crucial in establishing quarantine protocols to prevent the spread of GVCV into new territories and to avoid pandemic in grape-growing regions worldwide

Complete genome sequences of three newly discovered cacao mild mosaic virus isolates from Theobroma cacao L. in Brazil and Puerto Rico and evidence for recombination

To analyze the DNA virome associated with cacao (Theobroma cacao L.) trees showing virus-like symptoms in Brazil (BR) and Puerto Rico (PR) during 2018-2019, total DNA was isolated from symptomatic leaves and subjected to high-throughput Illumina sequencing. The assembled complete badnaviral genome sequences were verified by PCR amplification, cloning, and DNA sequencing. Based on pairwise distances and phylogenetic analysis, three badnaviral genomes were identified, and these viruses were found to be isolates of the previously described cacao mild mosaic virus (CaMMV). The three genomes were 7,520, 7,524, and 7,514 bp in size for the isolates CaMMV-BR321, CaMMV-BR322, and CaMMV-PR3, respectively. Each genome contained four predicted open reading frames: ORFs 1-3 and ORFY. The CaMMV-PR3 isolate was identified as a probable recombinant, with a CaMMV-BR-like virus as the major parent.12 month embargo; published: 26 April 2021This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Description and performance of track and primary-vertex reconstruction with the CMS tracker

A description is provided of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC luminous region and individual primary-interaction vertices. Despite the very hostile environment at the LHC, the performance obtained with these algorithms is found to be excellent. For tbar t events under typical 2011 pileup conditions, the average track-reconstruction efficiency for promptly-produced charged particles with transverse momenta of p(T) > 0.9GeV is 94% for pseudorapidities of |η| < 0.9 and 85% for 0.9 < |η| < 2.5. The inefficiency is caused mainly by hadrons that undergo nuclear interactions in the tracker material. For isolated muons, the corresponding efficiencies are essentially 100%. For isolated muons of p(T) = 100GeV emitted at |η| < 1.4, the resolutions are approximately 2.8% in p(T), and respectively, 10μm and 30μm in the transverse and longitudinal impact parameters. The position resolution achieved for reconstructed primary vertices that correspond to interesting pp collisions is 10–12μm in each of the three spatial dimensions. The tracking and vertexing software is fast and flexible, and easily adaptable to other functions, such as fast tracking for the trigger, or dedicated tracking for electrons that takes into account bremsstrahlung

Strategies and performance of the CMS silicon tracker alignment during LHC Run 2

The strategies for and the performance of the CMS silicon tracking system alignment during the 2015–2018 data-taking period of the LHC are described. The alignment procedures during and after data taking are explained. Alignment scenarios are also derived for use in the simulation of the detector response. Systematic effects, related to intrinsic symmetries of the alignment task or to external constraints, are discussed and illustrated for different scenarios