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MicrobesNG: A scalable replicable biological sample repository incorporating whole-genome sequence data and analysis of thousands of microbial strains

MicrobesNG: A scalable replicable biological sample repository incorporating whole-genome sequence data and analysis of thousands of microbial strains
MicrobesNG:一个可扩展的可复制生物样本库,包含全基因组序列数据和数千种微生物菌株的分析
批准号:
BB/L024209/1
负责人:
Ian Henderson
金额:
$133.98万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --

项目摘要

项目成果

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中文摘要
翻译
现代科学最大的进步之一是能够确定活着的有机体的DNA序列。获得完整的DNA序列为研究人员、环保主义者、临床医生、执法部门和实业家带来了无数的好处。这些信息使人们能够更深入地了解世界上生命的多样性。通过比较DNA序列,研究人员可以确定这三个生命王国之间的关系,并推断出进化谱系。了解动物和植物的基因含量可以选择和培育更强大、更抗病的植物和动物,从而增加产量和减少废物。对人类和动物基因组的了解对临床医生确定各种疾病的遗传易感性的能力产生了巨大影响;人们只需目睹通过识别乳腺癌风险最高的人并提供早期治疗而挽救的生命。利用基因组信息的能力使工业能够开发治疗疾病的新疗法,并为各种制造工艺生产新方法,例如,正在使用酶来漂白纸浆。对于门外汉来说,基因组数据最常见的好处可能是使用DNA来识别犯罪者。基因组测序受益最大的学科之一是微生物学。快速获得基因组序列的能力使研究人员能够找到新的细菌和病毒基因,使病原体能够导致疾病。它使流行病学家能够识别感染暴发中的菌株,并将这些暴发追溯到起源点,从而防止进一步的感染。基因组测序已经阐明了细菌对抗生素产生抗药性的机制,使临床医生在开抗生素时可以使用更知情的决策过程。微生物基因组学帮助制药业更好地了解细菌和病毒的脆弱性,这些信息用于识别和开发新药。最近,基因组研究将人体内和体内生长的某些细菌种群的变化与肥胖和癌症等非传染性疾病联系起来。基因组测序的巨大成功为我们提供了一个问题。DNA测序技术的快速进步使研究人员能够以比目前方法分析和解释更快的速度产生序列数据。这是由许多不同的原因造成的,包括制定特别方法来准备、分析和存储数据,以及缺乏跨学科的标准操作程序。重要的是,有能力对细菌基因组进行快速排序,这意味着数以千计的菌株正在进行排序,但目前还没有通用的方法来访问和研究这些菌株,并从这项重大的公款投资中获益。这项建议旨在解决一些在社会上已经变得明显的问题。我们将建立一个资源,成为对细菌菌株进行测序的范例,用于存储和分析基因组数据,以及对已测序的菌株进行存档,以便以后可以询问它们。我们将通过(1)建立提供最大产出的测序协议的最佳实践,(2)提供有效管理细菌菌株集合存储的框架,(3)开发允许全基因组测序数据和元数据(关于来源和菌株特征的信息)与存储中的菌株相关联的软件,以及(4)提供新的分析工具,以允许同时对数百或数千个微生物菌株进行比较,从而缓解分析瓶颈。我们将向更广泛的社区提供这些工具和协议,以便它们可以被其他学科的基因组测序中心采用。
英文摘要
One of the greatest advances of modern science is the ability to determine the DNA sequences of living organisms. Access to complete DNA sequences has provided researchers, environmentalists, clinicians, law enforcement and industrialists with a myriad of benefits. The information permits a deeper understanding of the diversity of life in the world. Comparing DNA sequences allows researchers to determine relationships between the three kingdoms of life and to infer evolutionary lineages. Understanding the genetic content of animals and plants permits the selection and development of stronger, more disease-resistant plants and animals increasing outputs and reducing waste. Understanding the human and animal genomes has had an enormous impact on the ability of clinicians to determine genetic susceptibility to a variety of diseases; one only has to witness the lives saved by identifying those most at risk of breast cancer and offering early treatment. The ability to harness genome information has allowed industry to develop new therapies for disease and produce new methods for a variety of manufacturing processes e.g. .enzymes are being used to bleach paper pulp. To the lay person, perhaps the most familiar benefit to genomic data is the use of DNA to identify perpetrators of crime. One of the subjects to benefit most from genome sequencing is microbiology. The ability to rapidly obtain genome sequences has allowed researchers to find new bacterial and viral genes which allow pathogens to cause disease. It allows epidemiologists to identify strains in outbreaks of infection and to trace those outbreaks back to the point of origin so further infections can be prevented. Genome sequencing has elucidated mechanisms by which bacteria become resistant to antibiotics allowing clinicians to use a more informed decision making process when prescribing antibiotics. Microbial genomics helps the pharmaceutical industry gain a better understanding of the vulnerabilities of bacteria and viruses, information which is used to identify and develop new drugs. Recently, genomic studies have linked changes in certain bacterial populations growing in and on the human body with non-infectious disease such as obesity and cancer.The tremendous success of genome sequencing has provided us with a problem. Rapid technological advances in DNA sequencing have resulted in the ability of researchers to generate sequence data quicker than it can be analysed and interpreted with current methodologies. This is for a number of different reasons including the development of ad-hoc methods to prepare, analyse and store the data and the lack of standard operating procedures across the discipline. Importantly, the ability to rapidly sequence bacterial genomes in particular, means thousands of strains are being sequenced yet there is no common method for accessing and studying these strains and garnering the benefits of this significant investment of Public money.This proposal seeks to redress some of the problems that have become apparent in the community. We will establish a resource that becomes a paradigm for sequencing bacterial strains, for storing and analysing the genomic data, and for archiving sequenced strains so they can be interrogated later. We will achieve this by (1) establishing best practices for sequencing protocols that deliver maximum output, (2) providing a framework to efficiently manage the storage of collections of bacterial strains, (3) developing software that allows whole-genome sequencing data and meta-data (information on the source, and characteristics of the strain) to be correlated with strains in the store and (4) delivering novel analysis tools to permit the comparison of hundreds or thousands of microbial strains simultaneously, thereby easing the analysis bottleneck. We will make these tools and protocols available to the wider community so that they can be adopted by genome sequencing centres in other disciplines.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1038/s41598-021-85100-0
发表时间: 2021-03-11
期刊: Scientific reports
影响因子: 4.6
作者: [Ahmed SAKS, Rudden M, Elias SM, Smyth TJ, Marchant R, Banat IM, Dooley JSG]
通讯作者: Dooley JSG
DOI: 10.1007/s00203-020-01941-9
发表时间: 2020
期刊: Archives of microbiology
影响因子: 2.8
作者: [Ay H]
通讯作者: Ay H
DOI: 10.1186/s13104-020-05418-2
发表时间: 2021-01-06
期刊: BMC research notes
影响因子: 1.8
作者: [Awolope OK, O'Driscoll NH, Di Salvo A, Lamb AJ]
通讯作者: Lamb AJ
DOI: 10.1007/s10482-020-01511-5
发表时间: 2021
期刊: Antonie van Leeuwenhoek
影响因子: --
作者: [Ay H]
通讯作者: Ay H
共 9 条
    Validation of Early Warning Systems for Severe Maternal Morbidity and Individualised Prediction of Severe Maternal Morbidity within Ethnic Groups
    • 批准号:
      MR/X006115/1
    • 项目类别:
      Fellowship
    • 资助金额:
      $34.9万
    • 财政年份:
      2023
    • 负责人:
      Ian Henderson
    • 依托单位:
    Assembling and recombining the Arabidopsis centromeres
    • 批准号:
      BB/V003984/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $81.15万
    • 财政年份:
      2021
    • 负责人:
      Ian Henderson
    • 依托单位:
    AAFC IWYP Aligned Call; Circadian clock editing in wheat
    • 批准号:
      BB/T004282/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $25.28万
    • 财政年份:
      2019
    • 负责人:
      Ian Henderson
    • 依托单位:
    18-BTT: High-throughput fluorescent crossover reporters to dissect control of tomato meiotic recombination
    • 批准号:
      BB/S020012/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $25.79万
    • 财政年份:
      2019
    • 负责人:
      Ian Henderson
    • 依托单位:
    国内基金
    海外基金
    Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis