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Defining factors affecting population dynamics of closely related bacteria in microbial communities

Defining factors affecting population dynamics of closely related bacteria in microbial communities
影响微生物群落中密切相关细菌种群动态的定义因素
批准号:
RGPIN-2017-04938
负责人:
Hill, Janet
金额:
$4.37万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
翻译
人类和动物被生活在人体每一个表面的数以万亿计的微生物定居。栖息在“微生物群”中的微生物对宿主的健康起着至关重要的作用。近年来,在基于DNA序列信息对微生物群落中的微生物多样性进行编目方面取得了重大进展,我们的研究小组开发了新的方法,用于高分辨率地描绘微生物群落,从而能够区分非常密切的物种。我们使用普遍保守的伴侣蛋白基因序列作为区分物种和识别功能相关的亚种组的条形码。伴侣序列比其他可用的通用靶标具有更高的分辨率,并使其有可能使用单个基因序列来区分传统定义物种中表型不同的细菌群体。我们应用这些方法发现,人类阴道微生物群中的一种常见细菌,阴道加德纳氏菌,实际上是由四个具有不同性质的离散亚群组成的。加德纳氏菌的过度生长是定义一种称为细菌性阴道病的常见疾病的关键,这种疾病与阴道症状有关,并导致负面的生殖健康结果,包括对于性传播感染和早产的易感性增加。我们在加德纳氏菌中发现了不同的亚群,这可能解释了为什么观察到加德纳氏菌不仅存在于阴道病女性身上,也存在于健康女性中,因为某些亚群比其他亚群更有可能致病。使情况更加复杂的是,加德纳氏菌几乎总是以亚群的混合形式出现,其中一个亚群比其他亚群丰富得多。我们需要了解不同的加德纳氏菌亚群是如何相互竞争或合作的,它们是如何与其他细菌竞争营养的,以及每个亚群对健康阴道的酸性条件有多好的抵抗能力,以便持续存在,有时过度生长并主导微生物群。我们正在计划的工作将为学生提供发展传统微生物学以及最先进的测序、基因组学和生物信息学技能的机会。了解加德纳氏菌亚群在促进阴道微生物群失调方面的不同潜力,并确定决定其相对丰度的因素,对于开发改进的诊断方法和实现利用序列数据识别高危微生物群的潜力具有重要意义。我们的发现还将有助于我们对微生物群落如何变化以及为什么变化,以及我们可能如何学习操纵这些过程以改善人类、动物和环境健康,以及推进生物技术的总体理解。
英文摘要
Humans and animals are colonized by trillions of microorganisms that live on every surface of the body. The microbes that inhabit the “microbiome” play a critical role in the health of their host. Significant progress has been made in recent years in cataloging microbial diversity in microbiomes based on DNA sequence information and our research group has developed novel methods for high resolution profiling of microbial communities that allow discrimination of very closely related species. We use the sequences of universally conserved chaperonin genes as “barcodes” for discriminating species and identifying functionally related subspecies groups. Chaperonin sequences have more resolving power than other available universal targets and make it possible to use a single gene sequence to discriminate phenotypically distinct groups of bacteria within traditionally defined species. We have applied these methods to discover that a common bacterium in the human vaginal microbiome, Gardnerella vaginalis, is actually made up of four discrete subgroups with distinct properties. Overgrowth of Gardnerella is key to the definition of a common condition called bacterial vaginosis, which is associated with vaginal symptoms and leads to negative reproductive health outcomes including increased susceptibility to sexually transmitted infections and preterm birth. Our discovery of distinct subgroups within Gardnerella may explain the observation that Gardnerella is found in women with vaginosis but also in healthy women, since some subgroups are more likely to cause disease than others. Complicating the story further is that Gardnerella almost always occurs as a mixture of subgroups, with one being far more abundant than the others. We need to understand how the different Gardnerella subgroups compete or cooperate with each other, how they compete for nutrients with other bacteria, and how well each of the subgroups resists the acidic conditions of the healthy vagina to persist and sometimes overgrow and dominate the microbiome. The work we are planning will present opportunities for students to develop skills in conventional microbiology as well as state-of-the-art sequencing, genomics and bioinformatics. Understanding how Gardnerella subgroups differ in their potential to contribute to a disturbed vaginal microbiome and identifying the factors that determine their relative abundance has important implications for the development of improved diagnostic methods, and realization of the potential of using sequence data for identifying high risk microbiomes. The discoveries we make will also contribute to our general understanding of how and why microbiomes change and how we might learn to manipulate those processes to improve human, animal and environmental health, and to advance biotechnology.
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Defining factors affecting population dynamics of closely related bacteria in microbial communities
  • 批准号:
    RGPIN-2017-04938
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $8.74万
  • 财政年份:
    2021
  • 负责人:
    Hill, Janet
  • 依托单位:
Defining factors affecting population dynamics of closely related bacteria in microbial communities
  • 批准号:
    RGPIN-2017-04938
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.37万
  • 财政年份:
    2020
  • 负责人:
    Hill, Janet
  • 依托单位:
Defining factors affecting population dynamics of closely related bacteria in microbial communities
  • 批准号:
    RGPIN-2017-04938
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.37万
  • 财政年份:
    2019
  • 负责人:
    Hill, Janet
  • 依托单位:
Defining factors affecting population dynamics of closely related bacteria in microbial communities
  • 批准号:
    RGPIN-2017-04938
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.37万
  • 财政年份:
    2017
  • 负责人:
    Hill, Janet
  • 依托单位:
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