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Industrialisation of platform chemical production from waste biomass using diverse yeast strains (WALDRON_F17ICASE1)

Industrialisation of platform chemical production from waste biomass using diverse yeast strains (WALDRON_F17ICASE1)
使用多种酵母菌株利用废弃生物质进行平台化学品生产的工业化(WALDRON_F17ICASE1)
批准号:
1941449
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

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中文摘要
翻译
酵母菌和生物精炼过程密切相关。食品研究所拥有生物精炼中心和NCYC,这两个中心与UEA一起使NRP在这一领域开展尖端研究方面处于独特的地位。该生物炼油厂有开发方法的记录,通过使用物理、生化和化学路线分解植物结构,最大限度地利用农业食物链生物质。NCyC的4000多个酵母菌株的独特收藏涵盖了大量的生物多样性,目前几乎没有开发。最近对大约900株NCyC菌株进行的基因组测序为我们提供了一个独特的机会来筛选这些菌株的生物工业重要特性,并将这些特性与样品中的遗传变异联系起来。学生将与不同的酵母菌株和真实世界的废物生物质一起工作,以确定给定产品的最佳前处理、发酵过程和酵母菌株。代谢组学途径随后将被外推,并从基因组数据集中建立特征信息。这项研究将涉及与工业生物精炼合作伙伴Vireol的合作,学生将在整个项目中与该合作伙伴合作。
英文摘要
Yeasts and biorefinery processes are intimately linked. The Institute of Food Research hosts both the Biorefinery Centre and the NCYC which, along with the UEA make the NRP uniquely placed to carry out cutting edge research in this area. The biorefinery has a track record of developing approaches to maximise the exploitation of agri-food chain biomass through the disassembly of plant structures using physical, biochemical and chemical routes. The NCYC's unique collection of over 4000 yeast strains covers a large biodiversity which is currently virtually untapped. The recent genome sequencing of around 900 NCYC strains gives us the unique opportunity to screen these strains for bio-industrially important traits and link those to the genetic variation within the collection. The student will work with both varied yeast strains and also real world waste biomass in order to ascertain the best pre-treatments, fermentation processes and yeast strains for a given product. The metabolomics pathways will then be extrapolated and trait information established from the genomic datasets. This research will involve collaboration with an industrial biorefining partner Vireol with which the student will work throughout the project.
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Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information