Genotypic and phenotypic variation during adaptation in fungal microbes
真菌微生物适应过程中的基因型和表型变异
基本信息
- 批准号:RGPIN-2019-05867
- 负责人:
- 金额:$ 2.77万
- 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:2021
- 资助国家:加拿大
- 起止时间:2021-01-01 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The appearance of beneficial variation in a population is required for an organism to adapt. The long-term goal of my research program is to understand how different factors influence the appearance and spread of beneficial variation. We apply evolutionary principles to understand the predictability of adaptation in fungal microbes. Fungi are critically understudied relative to other taxa, and our experiments will clarify the specific patterns that underlie adaptation in fungal microbes, and more generally provide insight into the genotypic and phenotypic basis of adaptation. We primarily use the model eukaryote Saccharomyces cerevisiae to take advantage of the unparalleled genetic resources available for this species. In the short-term we have two major goals: I: Precisely quantify karyotypic mutations during adaptation Many fungal microbes are able to reproduce asexually, and compared to species that habitually undergo sexual reproduction, karyotypic mutations (changes in ploidy, the base number of chromosome sets), and aneuploidy (copy number change in one or several chromosomes) are prevalent. We will develop a new statistical analysis program to quantify karyotypic variation in populations that contain individuals of mixed ploidy. This program will be the first available method to comprehensively analyze these populations and will enable new avenues of research on the prevalence and influence of karyotypic variation and subpopulations during adaptation. Students in my lab will then use the program we develop in tandem with whole genome sequencing techniques to precisely quantify karyotypic variation throughout a long term evolution experiment. II: Characterize evolutionary responses to inhibitory environmental stresses We will investigate the evolutionary implications of inhibitory (static) environments compared to lethal (cidal) environments. We will conduct the first quantification of diverse environmental challenges (e.g., high and low pH, heavy metals, nitrosative and oxidative stress) to determine the conditions that are cidal versus static to fungal microbes. We will then use two complementary experimental approaches, genome wide association studies (GWAS) and short-term experimental evolution, to pinpoint specific genotypes that are beneficial in fungistatic environments. We will characterize the diversity and nature of mutations that improve growth under static environments, and evaluate how the predictability of evolution is influenced by this important and fundamental feature of environmental stress. I expect to train 4 graduate and at least 6 undergraduate students in the next five years. As I am cross-appointed between the Microbiology and Statistics departments, these students will gain a mix of empirical and analytical experience from both fields. This will enable students to acquire a diverse and marketable skillset that will serve them well regardless of their career goals.
群体中出现有益变异是有机体适应的必要条件。我的研究计划的长期目标是了解不同因素如何影响有益变异的出现和传播。我们应用进化原理来了解真菌微生物适应的可预测性。相对于其他类群,真菌的研究还很不足,我们的实验将阐明真菌微生物适应的具体模式,并且更广泛地提供对适应的基因型和表型基础的深入了解。我们主要使用模型真核生物酿酒酵母来利用该物种无与伦比的遗传资源。短期内我们有两个主要目标:一:精确量化适应过程中的核型突变许多真菌微生物能够无性繁殖,与习惯性进行有性繁殖的物种相比,核型突变(倍性的变化,染色体组的碱基数的变化)和非整倍性(一条或多条染色体的拷贝数变化)很普遍。我们将开发一种新的统计分析程序来量化包含混合倍体个体的群体中的核型变异。该计划将是第一个全面分析这些种群的可用方法,并将为研究适应过程中核型变异和亚种群的普遍性和影响提供新的途径。然后,我实验室的学生将使用我们与全基因组测序技术结合开发的程序,在整个长期进化实验中精确量化核型变异。 II:描述对抑制性环境应激的进化反应 我们将研究抑制性(静态)环境与致命(杀伤性)环境相比的进化影响。我们将对各种环境挑战(例如高和低 pH、重金属、亚硝化和氧化应激)进行首次量化,以确定对真菌微生物来说是杀灭还是静态的条件。然后,我们将使用两种互补的实验方法,全基因组关联研究(GWAS)和短期实验进化,来查明在抑菌环境中有益的特定基因型。我们将描述在静态环境下促进生长的突变的多样性和性质,并评估环境压力的这一重要和基本特征如何影响进化的可预测性。我预计在未来五年内培养4名研究生和至少6名本科生。由于我在微生物学和统计学系之间交叉任命,这些学生将获得这两个领域的经验和分析经验。这将使学生能够获得多样化且适销对路的技能,无论他们的职业目标如何,这些技能都将为他们提供良好的服务。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Gerstein, Aleeza其他文献
Antifungal Drug Concentration Impacts the Spectrum of Adaptive Mutations in Candida albicans.
- DOI:
10.1093/molbev/msad009 - 发表时间:
2023-01-04 - 期刊:
- 影响因子:10.7
- 作者:
Todd, Robert T.;Soisangwan, Natthapon;Peters, Sam;Kemp, Bailey;Crooks, Taylor;Gerstein, Aleeza;Selmecki, Anna - 通讯作者:
Selmecki, Anna
Gerstein, Aleeza的其他文献
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{{ truncateString('Gerstein, Aleeza', 18)}}的其他基金
Genotypic and phenotypic variation during adaptation in fungal microbes
真菌微生物适应过程中的基因型和表型变异
- 批准号:
RGPIN-2019-05867 - 财政年份:2022
- 资助金额:
$ 2.77万 - 项目类别:
Discovery Grants Program - Individual
Genotypic and phenotypic variation during adaptation in fungal microbes
真菌微生物适应过程中的基因型和表型变异
- 批准号:
RGPIN-2019-05867 - 财政年份:2020
- 资助金额:
$ 2.77万 - 项目类别:
Discovery Grants Program - Individual
Genotypic and phenotypic variation during adaptation in fungal microbes
真菌微生物适应过程中的基因型和表型变异
- 批准号:
RGPIN-2019-05867 - 财政年份:2019
- 资助金额:
$ 2.77万 - 项目类别:
Discovery Grants Program - Individual
Genotypic and phenotypic variation during adaptation in fungal microbes
真菌微生物适应过程中的基因型和表型变异
- 批准号:
DGECR-2019-00157 - 财政年份:2019
- 资助金额:
$ 2.77万 - 项目类别:
Discovery Launch Supplement
The effect of genetic background on evolutionary trajectory
遗传背景对进化轨迹的影响
- 批准号:
420725-2012 - 财政年份:2014
- 资助金额:
$ 2.77万 - 项目类别:
Postdoctoral Fellowships
The effect of genetic background on evolutionary trajectory
遗传背景对进化轨迹的影响
- 批准号:
420725-2012 - 财政年份:2013
- 资助金额:
$ 2.77万 - 项目类别:
Postdoctoral Fellowships
The effect of genetic background on evolutionary trajectory
遗传背景对进化轨迹的影响
- 批准号:
420725-2012 - 财政年份:2012
- 资助金额:
$ 2.77万 - 项目类别:
Postdoctoral Fellowships
The evolution of social behaviour in microorganisms
微生物社会行为的进化
- 批准号:
348087-2007 - 财政年份:2008
- 资助金额:
$ 2.77万 - 项目类别:
Alexander Graham Bell Canada Graduate Scholarships - Doctoral
The evolution of social behaviour in microorganisms
微生物社会行为的进化
- 批准号:
348087-2007 - 财政年份:2007
- 资助金额:
$ 2.77万 - 项目类别:
Alexander Graham Bell Canada Graduate Scholarships - Doctoral
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Genotypic and phenotypic variation during adaptation in fungal microbes
真菌微生物适应过程中的基因型和表型变异
- 批准号:
RGPIN-2019-05867 - 财政年份:2022
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$ 2.77万 - 项目类别:
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