BACTERIAL SOLUTE TRANSPORTERS: MOLECULAR BASIS FOR SUGAR

细菌溶质转运蛋白：糖的分子基础

• 批准号: 6972150
• 负责人: MANUEL F VARELA
• 金额: $ 13.77万
• 依托单位: NEW MEXICO STATE UNIVERSITY LAS CRUCES
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-07-05 至 2005-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6972150
• 关键词: agriculture; antibiotics; bioinformatics; chloramphenicol; ciprofloxacin; communicable disease transmission; drug resistance; environmental contamination; milk; multidrug resistance; penicillins; soil microbiology; soil sampling; vancomycin; water microbiology; water sampling /testing; zoonosis

Bacterial antibiotic resistance is an emerging problem and poses a severe clinical public health concern due to compromised effectiveness of chemotherapy for infectious diseases. In order to help circumvent the problem of bacterial antibiotic resistance, it is first necessary to know the extent of the problem. Yet, is it not understood how widespread antibiotic resistant bacteria are in agriculture. The lack of surveillance data is especially evident in dairy farms, it is also unknown to what extent various modulators, such as salycilate, a component of aspirin and known model modulator of multiple antibiotic resistance (mar) genes, influence multidrug resistance in bacterial isolates. Other modulators include organic solvents, oxidative stress agents and household disinfectants. The long term goal is to comprehend fully the severity of the problem of bacterial antibiotic resistance from both surveillance and phylogenetic standpoints, in order to eliminate the reservoir of resistant microorganisms in agriculture and to find better means of treatment. The objective of this application is to determine which areas within dairy farms harbor intrinsic or inducible antibiotic resistance and to determine phylogenetic relationships for modulated resistance determinants. The central hypothesis is that dairy farms already harbor multidrug resistant bacteria or that known relevant modulators induce multidrug resistance. The rationale for the hypothesis is that once it is known how widespread intrinsic and inducible bacterial multidrug resistances are present phylogenetically in agriculture, such as dairy farms, it will be possible to invoke measures to reduce the problem of the limited efficacy of antibiotics. Specific Aim 1: Identify the occurrence of intrinsic versus inducible antibiotic resistant bacteria in dairy farm soil. Specific Aim 2: Establish whether water sources and milk from dairy farms harbor bacteria resistant to clinically relevant antibiotics. Specific Aim 3: Establish the extent of bacterial resistance to clinically relevant antibiotics in bacterial isolates from dairy milking stations. It is anticipated that the proposed experiments will enhance our understanding of the extent and nature of the bacterial antibiotic resistance problem in agricultural settings, such as dairy farms. This is the first study that proposes to examine bacterial antibiotic resistance in dairy soil from a bioinformatics standpoint. The systematic study of various dairy farm environments (soil, water and facilities) and the analyses of intrinsic versus inducible resistance make this study innovative, as the potential exists for helping to reduce infections transmitted from farm animals to humans.

细菌抗生素耐药性是一个新出现的问题，并提出了严重的临床公共卫生问题，由于化疗的有效性降低传染病。为了帮助规避细菌抗生素耐药性的问题，首先有必要了解问题的严重程度。然而，人们还不清楚抗生素耐药性细菌在农业中有多普遍。在奶牛场，监测数据的缺乏尤其明显，而且还不清楚各种调节剂，如阿司匹林的一种成分水杨酸，以及已知的多种抗生素耐药性（mar）基因的模式调节剂，在多大程度上影响细菌分离物的多药耐药性。其他调节剂包括有机溶剂、氧化应激剂和家用消毒剂。长期目标是从监测和系统发育的角度全面了解细菌抗生素耐药性问题的严重性，以便消除农业中耐药微生物的储存库，并找到更好的治疗方法。本应用程序的目的是确定奶牛场内哪些区域具有内在的或可诱导的抗生素耐药性，并确定调节抗性决定因素的系统发育关系。中心假设是乳制品