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Microbial Genome Sequencing: Coupling Diversity with Function: Metagenomics of Boreal Forest Fungi

Microbial Genome Sequencing: Coupling Diversity with Function: Metagenomics of Boreal Forest Fungi
微生物基因组测序:多样性与功能的耦合:北方森林真菌的宏基因组学
批准号:
0333308
负责人:
Donald Taylor
金额:
$80.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-11-01 至 2007-10-31

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中文摘要
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英文摘要
Fungi play dominant roles in decomposition and plant nutrient acquisition, and thus influence net primary productivity, carbon sequestration in soil, and the biogeochemical cycling of key elements such as nitrogen and phosphorus. Little is known about the roles of particular fungal species in these processes, in part because many species cannot easily be isolated in pure culture. Metagenomic methods offer solutions to this isolation-bias problem. The boreal forest plays a central role in global biogeochemical cycling due to its abundance and because it stores approximately 30% of the earth's reactive carbon. Hence, fungal diversity and function in the boreal forest are compelling subjects for metagenomic scrutiny. This project will undertake the most detailed examination to date of fungal diversity, genetic relationships and substrate specificity within a single geographic region. In the first step, 32,000 clones from PCR libraries of fungal ribosomal gene-regions amplified from soil DNA extracts will be sequenced. The DNAs will be extracted from key soil substrates (e.g. leaf litter, humus, wood, roots) within each of three forest types that are important components of the northern boreal forest. Discovery of novel fungi and their substrate preferences are anticipated. In the second step, the same ribosomal region will be sequenced in 4000 dried fruitbodies (e.g. mushrooms) maintained within the UAF Mycological Herbarium. The herbarium specimen sequences will permit below-ground and above-ground views of diversity to be compared, will help identify unknown fungi, and will provide a powerful database for identification of the constituent fungi observed in 'community fingerprints' from a variety of related ecological studies.
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