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dc.contributor.advisorTurner, Jeffrey W.
dc.contributor.advisorBuck, Gregory W.
dc.contributor.authorTallman, James Joseph III
dc.date.accessioned2017-11-01T19:22:47Z
dc.date.available2017-11-01T19:22:47Z
dc.date.issued2017-08
dc.identifier.urihttp://hdl.handle.net/1969.6/5616
dc.descriptionA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Marine Biology from Texas A&M University-Corpus Christi in Corpus Christi, Texas.en_US
dc.description.abstractBays adjacent to developed land are sinks for runoff and municipal wastewater. These inflows carry residual antibiotic compounds and antibiotic-resistant bacteria (ARB) that pose a threat to human and environmental health. This study aims to investigate the abundance and richness of antibiotic resistance genes (ARGs) in Copano Bay, Galveston Bay, Nueces Bay, and 1852 Pass, Texas. Each water body receives a different type of major wastewater inflow dependent on the surrounding land use, and each inflow likely carries a unique suspension of chemical inducers of ARG development. This study proposes that oysters, which can bioaccumulate contaminants from the surrounding water, are an indicator species for the investigation of antibiotic resistance in the coastal environment. Bacterial metagenomes of oyster stomach contents and overlying water were collected and sequenced using Illumina HiSeq technology. The raw sequence reads were filtered for quality and length. The 16S rRNA reads were analyzed using Quantitative Insights Into Microbial Ecology (QIIME) and the Metagenome Analyzer (MEGAN) to determine the taxonomic composition of the microbial communities. The filtered reads were also compared against the Microbial Ecology Group Antibiotic Resistance (MEGARes) database to determine the abundance and richness of ARGs. The dominant bacterial classes in each sample reflected the major wastewater inflow and the surrounding land use. Further, the oyster bacterial communities differed between (but not within) sites while the free-living bacterial communities were very similar across all sampling sites. These findings suggest that local conditions select for distinct oyster microbiota, but those same conditions do not select for distinct free-living microbiota. The abundance of ARGs ranged from 28 to 826 genes while the richness of ARGs ranged from 10 to 32 distinct types. The most abundant ARGs were the mutated tuf, rpoB, and gyrB genes. Overall, fewer ARGs were detected in the oyster samples compared to the water samples, indicating that oysters were buffered from the bioaccumulation of ARGs. Data describing the prevalence of ARGs – a promising proxy for coastal sewage pollution – can aid officials in managing healthy coastal ecosystems and safeguarding human health.en_US
dc.format.extent95 pages.en_US
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rightsThis material is made available for use in research, teaching, and private study, pursuant to U.S. Copyright law. The user assumes full responsibility for any use of the materials, including but not limited to, infringement of copyright and publication rights of reproduced materials. Any materials used should be fully credited with its source. All rights are reserved and retained regardless of current or future development or laws that may apply to fair use standards. Permission for publication of this material, in part or in full, must be secured with the author and/or publisher.en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectAntibiotic resistanceen_US
dc.subjectmetagenomicsen_US
dc.subjectoystersen_US
dc.subjectpollutionen_US
dc.subjectResistomeen_US
dc.subjectwastewateren_US
dc.titleMetagenomic investigation of the antibiotic resistance in coastal marine ecosystemsen_US
dc.typeTexten_US
dc.rights.holderTallman, James Joseph III
thesis.degree.disciplineMarine Biologyen_US
thesis.degree.grantorTexas A & M University--Corpus Christien_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
dc.contributor.committeeMemberPollack, Jennifer Beseres
dc.description.departmentLife Sciencesen_US
dc.description.collegeCollege of Science and Engineeringen_US
dc.type.genreThesisen_US


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Attribution-NonCommercial-NoDerivs 3.0 United States
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