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Driving under the influence (DUI) is a problem in American society that has received considerable attention over recent decades from local police agencies, lobby groups, and the news media. While punitive policies, administrative sanctions and aggressive media campaigns to deter drinking and driving have been used in the past, less

Driving under the influence (DUI) is a problem in American society that has received considerable attention over recent decades from local police agencies, lobby groups, and the news media. While punitive policies, administrative sanctions and aggressive media campaigns to deter drinking and driving have been used in the past, less conventional methods to restructure or modify the urban environment to discourage drunk driving have been underused. Explanations with regard to DUIs are policy driven more often than they are guided by criminological theory. The current study uses the routine activities perspective as a backdrop for assessing whether a relatively new mode of transportation - an urban light rail system - in a large metropolitan city in the Southwestern U.S. can alter behaviors of individuals who are likely to drive under the influence of alcohol. The study is based on a survey of undergraduate students from a large university that has several stops on the light rail system connecting multiple campuses. This thesis examines whether the light rail system has a greater effect on students whose routines activities (relatively unsupervised college youth with greater access to cars and bars) are more conducive to driving under the influence of alcohol. An additional purpose of the current study is to determine whether proximity to the light rail system is associated with students driving under the influence of alcohol, while controlling for other criminological factors
ContributorsBroyles, Joshua (Author) / Ready, Justin (Thesis advisor) / Reisig, Michael (Committee member) / Telep, Cody (Committee member) / Arizona State University (Publisher)
Created2014
Description

Agassiz’s desert tortoise (Gopherus agassizii) is a long-lived species native to the Mojave Desert and is listed as threatened under the US Endangered Species Act. To aid conservation efforts for preserving the genetic diversity of this species, we generated a whole genome reference sequence with an annotation based on dee

Agassiz’s desert tortoise (Gopherus agassizii) is a long-lived species native to the Mojave Desert and is listed as threatened under the US Endangered Species Act. To aid conservation efforts for preserving the genetic diversity of this species, we generated a whole genome reference sequence with an annotation based on deep transcriptome sequences of adult skeletal muscle, lung, brain, and blood. The draft genome assembly for G. agassizii has a scaffold N50 length of 252 kbp and a total length of 2.4 Gbp. Genome annotation reveals 20,172 protein-coding genes in the G. agassizii assembly, and that gene structure is more similar to chicken than other turtles. We provide a series of comparative analyses demonstrating (1) that turtles are among the slowest-evolving genome-enabled reptiles, (2) amino acid changes in genes controlling desert tortoise traits such as shell development, longevity and osmoregulation, and (3) fixed variants across the Gopherus species complex in genes related to desert adaptations, including circadian rhythm and innate immune response. This G. agassizii genome reference and annotation is the first such resource for any tortoise, and will serve as a foundation for future analysis of the genetic basis of adaptations to the desert environment, allow for investigation into genomic factors affecting tortoise health, disease and longevity, and serve as a valuable resource for additional studies in this species complex.

Data Availability: All genomic and transcriptomic sequence files are available from the NIH-NCBI BioProject database (accession numbers PRJNA352725, PRJNA352726, and PRJNA281763). All genome assembly, transcriptome assembly, predicted protein, transcript, genome annotation, repeatmasker, phylogenetic trees, .vcf and GO enrichment files are available on Harvard Dataverse (doi:10.7910/DVN/EH2S9K).

ContributorsTollis, Marc (Author) / DeNardo, Dale F (Author) / Cornelius, John A (Author) / Dolby, Greer A (Author) / Edwards, Taylor (Author) / Henen, Brian T. (Author) / Karl, Alice E. (Author) / Murphy, Robert W. (Author) / Kusumi, Kenro (Author)
Created2017-05-31