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Assessing the Role of Sources of Contamination and Heavy Metals on Antimicrobial Resistance Gene Abundance in Two Distinct United States Watersheds- [electronic resource]
Assessing the Role of Sources of Contamination and Heavy Metals on Antimicrobial Resistance Gene Abundance in Two Distinct United States Watersheds- [electronic resource]
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214100115
- ISBN
- 9798380128186
- DDC
- 614
- 저자명
- Singh, Bhavneet.
- 서명/저자
- Assessing the Role of Sources of Contamination and Heavy Metals on Antimicrobial Resistance Gene Abundance in Two Distinct United States Watersheds - [electronic resource]
- 발행사항
- [S.l.]: : The University of Utah., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(131 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-02, Section: B.
- 주기사항
- Advisor: VanDerslice, James Albert.
- 학위논문주기
- Thesis (Ph.D.)--The University of Utah, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약Release of heavy metals, biocides, pharmaceuticals, and other wastes into the aquatic environment can significantly influence abundance of environmental antimicrobial resistance genes (ARGs). We investigated the influence of a suite of 29 heavy metals, physical and chemical parameters of surface water systems (pH, dissolved oxygen, and turbidity), and sources of contamination (point and non-point) as potential drivers of environmental abundance estimates of 20 detected categories of ARGs comprising 240 ARGs as fragments per mL water (F/mL) collected from surface water samples from two distinct watersheds - rural Rock River watershed and urban Blue River watershed. Results from in-depth statistical analyses using exploratory descriptive analysis, spatial autoregressive model (SAR), and mediation analysis showed significant hierarchical clusters and canonical correlations indicating shared sources and physical and biological processes linking heavy metals and ARGs occurrence in these disparate watersheds. Spatial regression results highlight an association between several Gramnegative bacterial resistance genes and multiple metals (THg, Zn, Ni, and Cu) in the rural Rock River and urban Blue River watersheds. Increase in pH was found to have a significant association with ARGs abundance in both watersheds. Significant and substantial risk of observing increased levels of ARGs was found for sites in close proximity to wastewater treatment plants (WWTPs) and at sites progressively more downstream from the top of the watersheds. Mediation analysis on the SAR model in the urban watershed showed Zn and Ni have a potential to be a mediator in the relationship between the sources of contamination and observed ARGs abundance. Overall, this study contributes to monitoring efforts of the Rock River and Blue River watersheds for Gram-negative bacterial resistant genes. It supports the idea of heavy metals can potentially co-select for antibiotic resistance and physical and chemical parameters like pH and different sources of contamination are drivers for the co-occurrence of metals and antibiotic resistance.
- 일반주제명
- Public health.
- 일반주제명
- Environmental health.
- 키워드
- Co-selection
- 키워드
- Heavy metals
- 키워드
- Watersheds
- 키워드
- Contamination
- 기타저자
- The University of Utah Family and Preventive Medicine
- 기본자료저록
- Dissertations Abstracts International. 85-02B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008240612s2023 us |||||||||||||||c||eng d■001000016931771
■00520240214100115
■006m o d
■007cr#unu||||||||
■020 ▼a9798380128186
■035 ▼a(MiAaPQ)AAI30422547
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a614
■1001 ▼aSingh, Bhavneet.
■24510▼aAssessing the Role of Sources of Contamination and Heavy Metals on Antimicrobial Resistance Gene Abundance in Two Distinct United States Watersheds▼h[electronic resource]
■260 ▼a[S.l.]:▼bThe University of Utah. ▼c2023
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2023
■300 ▼a1 online resource(131 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-02, Section: B.
■500 ▼aAdvisor: VanDerslice, James Albert.
■5021 ▼aThesis (Ph.D.)--The University of Utah, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aRelease of heavy metals, biocides, pharmaceuticals, and other wastes into the aquatic environment can significantly influence abundance of environmental antimicrobial resistance genes (ARGs). We investigated the influence of a suite of 29 heavy metals, physical and chemical parameters of surface water systems (pH, dissolved oxygen, and turbidity), and sources of contamination (point and non-point) as potential drivers of environmental abundance estimates of 20 detected categories of ARGs comprising 240 ARGs as fragments per mL water (F/mL) collected from surface water samples from two distinct watersheds - rural Rock River watershed and urban Blue River watershed. Results from in-depth statistical analyses using exploratory descriptive analysis, spatial autoregressive model (SAR), and mediation analysis showed significant hierarchical clusters and canonical correlations indicating shared sources and physical and biological processes linking heavy metals and ARGs occurrence in these disparate watersheds. Spatial regression results highlight an association between several Gramnegative bacterial resistance genes and multiple metals (THg, Zn, Ni, and Cu) in the rural Rock River and urban Blue River watersheds. Increase in pH was found to have a significant association with ARGs abundance in both watersheds. Significant and substantial risk of observing increased levels of ARGs was found for sites in close proximity to wastewater treatment plants (WWTPs) and at sites progressively more downstream from the top of the watersheds. Mediation analysis on the SAR model in the urban watershed showed Zn and Ni have a potential to be a mediator in the relationship between the sources of contamination and observed ARGs abundance. Overall, this study contributes to monitoring efforts of the Rock River and Blue River watersheds for Gram-negative bacterial resistant genes. It supports the idea of heavy metals can potentially co-select for antibiotic resistance and physical and chemical parameters like pH and different sources of contamination are drivers for the co-occurrence of metals and antibiotic resistance.
■590 ▼aSchool code: 0240.
■650 4▼aPublic health.
■650 4▼aEnvironmental health.
■650 4▼aWater resources management.
■653 ▼aAntimicrobial resistance
■653 ▼aCo-selection
■653 ▼aHeavy metals
■653 ▼aMediation analysis
■653 ▼aSpatial regression
■653 ▼aWatersheds
■653 ▼aContamination
■690 ▼a0573
■690 ▼a0470
■690 ▼a0595
■71020▼aThe University of Utah▼bFamily and Preventive Medicine.
■7730 ▼tDissertations Abstracts International▼g85-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0240
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16931771▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
