EXPLOITING GENOMICS TO UNDERSTAND MICROBIAL ADAPTATION AND RESISTANCE TO INDUSTRIAL PRESERVATIVES

利用基因组学了解微生物的适应和对工业防腐剂的耐药性

• 批准号: 1864373
• 金额: --
• 依托单位: CARDIFF UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1864373
• 关键词: EXPLOITING; GENOMICS; UNDERSTAND; MICROBIAL; ADAPTATION

Preventing microbial contamination of industrial products and processes is a major area of industrialbiotechnology. Preservatives and detergents are added to products to ensure sterility, stable shelf-life, and reduce potential risk of infection to consumers. The manufacturing industry is one of the largest users of antimicrobial agents, however, with regulatory changes and a global need to reduce environmental impact, the sector is moving towards greener, minimal formulations. Certain bacteria show reduced susceptibility to antimicrobial agents and may also evolve greater resistance upon exposure to preservatives. Bacteria such as Pseudomonas, Burkholderia, Klebsiella, Enterobacter and Acinetobacter bacteria may persist during manufacture of consumer products causing disruptive plant closure or products recalls. Understanding the basis for resistance and anticipating adaptation are important for industry to develop novel product preservation strategies.This PhD will work with Unilever Research and Development, Port Sunlight, to examine how bacteria adapt to overcome preservative strategies used by industry. State-of-the-art genomic approaches of bacterial whole genome sequencing (WGS) and global gene expression (transcriptomics via RNA-sequencing) will be used to map antimicrobial resistance genes, metabolic pathways and mutations that underpin preservative resistance in bacteria such as Pseudomonas, Burkholderia, Klebsiella, Enterobacter and Acinetobacter. The project will: (i) build custom genomic databases of each bacterial industrial contaminant species to enable their accurate identification and analysis; (ii) systematically map the resistance genes, metabolic pathways, and mutational signatures relevant to preservative resistance in each species; (iii) examine the genetic basis for adaptation to preservative resistance by analysis of bacteria strains which have been exposed to existing or novel preservative formulations. The project will provide an interdisciplinary training in molecular microbiology, industrial microbiology, bioinformatics and statistical analysis of big datasets. Placements with the industrial partner willfacilitate training in the applied aspects of industrial biotechnology, and the business strategies behind the home and personal care industry.

防止工业产品和过程的微生物污染是工业生物技术的一个主要领域。防腐剂和洗涤剂被添加到产品中，以确保无菌、稳定的保质期，并降低消费者的潜在感染风险。制造业是抗菌剂的最大用户之一，然而，随着法规的变化和全球减少对环境的影响的需要，该行业正在朝着更绿色、最少配方的方向发展。某些细菌对抗菌剂的敏感性降低，也可能在接触防腐剂时产生更大的抗药性。假单胞菌、伯克霍尔德氏菌、克雷伯氏菌、肠杆菌和不动杆菌等细菌可能在消费品生产过程中持续存在，导致破坏性的工厂关闭或产品召回。了解耐药性的基础和预期的适应对于工业开发新的产品保存策略非常重要。本博士将与联合利华研究和开发公司阳光港合作，研究细菌如何适应以克服工业使用的保存策略。最先进的细菌全基因组测序(WGS)和全球基因表达(通过RNA测序进行转录)的基因组方法将被用来定位支持假单胞菌、伯克霍尔德氏菌、克雷伯氏菌、肠杆菌和不动杆菌等细菌的抗菌素耐药性基因、代谢途径和突变。该项目将：(I)建立每个细菌工业污染物物种的定制基因组数据库，以便能够准确地识别和分析它们；(Ii)系统地绘制每个物种中与防腐剂抗性相关的抗药性基因、代谢途径和突变特征图；(Iii)通过分析暴露于现有或新防腐剂配方中的细菌菌株，检查适应防腐剂抗药性的遗传基础。该项目将提供分子微生物学、工业微生物学、生物信息学和大数据集统计分析方面的跨学科培训。与行业合作伙伴的就业将促进在工业生物技术的应用方面的培训，以及家庭和个人护理行业背后的商业战略。

项目成果

The Genome Sequences of Three Paraburkholderia sp. Strains Isolated from Wood-Decay Fungi Reveal Them as Novel Species with Antimicrobial Biosynthetic Potential

三种 Paraburkholderia sp 的基因组序列。

• DOI: 10.1128/mra.00778-19
• 发表时间: 2019
• 期刊: Microbiology Resource Announcements
• 影响因子: 0.8
• 作者: Webster G

Genome Sequences of Two Choline-Utilizing Methanogenic Archaea, Methanococcoides spp., Isolated from Marine Sediments.

从海洋沉积物中分离出的两种利用胆碱的产甲烷古菌（Methanococcoides spp.）的基因组序列。

• DOI: 10.1128/mra.00342-19
• 发表时间: 2019
• 期刊: Microbiology resource announcements
• 影响因子: 0.8
• 作者: Webster G

Community-led comparative genomic and phenotypic analysis of the aquaculture pathogen Pseudomonas baetica a390T sequenced by Ion semiconductor and Nanopore technologies.

• DOI: 10.1093/femsle/fny069
• 发表时间: 2018-05-01
• 期刊: FEMS microbiology letters
• 影响因子: 2.1
• 作者: Beaton A;Lood C;Cunningham-Oakes E;MacFadyen A;Mullins AJ;Bestawy WE;Botelho J;Chevalier S;Coleman S;Dalzell C;Dolan SK;Faccenda A;Ghequire MGK;Higgins S;Kutschera A;Murray J;Redway M;Salih T;da Silva AC;Smith BA;Smits N;Thomson R;Woodcock S;Welch M;Cornelis P;Lavigne R;van Noort V;Tucker NP
• 通讯作者: Tucker NP