| DOI: | 10.2172/1149958
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| 报告号: | DOE-UW--05154
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| 报告题名: | Systems level insights into alternate methane cycling modes in a freshwater lake via community transcriptomics, metabolomics and nano-SIMS analysis |
| 作者: | Lidstrom, Mary E.1; Chistoserdova, Ludmila1; Kalyuzhnaya, Marina G.1; Orphan, Victoria J.2
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| 出版年: | 2014
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| 发表日期: | 2014-08-07
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| 总页数: | 5
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| 国家: | 美国
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| 语种: | 英语
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| 英文关键词: | Final Report
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| 中文主题词: | 湖泊
; 沉积物
; 甲烷
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| 主题词: | LAKES
; SEDIMENTS
; METHANE
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| 英文摘要: | The research conducted as part of this project contributes significantly to the understanding of the microbes and their activities involved in methane metabolism in freshwater lake sediments and in the environment in a more global sense. Significant new insights have been gained into the identity of the species that are most active in methane oxidation. New concepts have been developed based on the new data on how these organisms metabolize methane, impacting not only environmental microbiology but also biotechnology, including biotechnology of next generation biofuels. Novel approaches have been developed for studying functional microbial communities, via holistic approaches, such as metagenomics, metatrancriptomics and metabolite analysis. As a result, a novel outlook has been obtained at how such communities operate in nature. Understanding methane-oxidizing communities in lakes and other environments is of significant benefit to the public, in terms of methane emission mitigation and in terms of potential biotechnological applications. |
| URL: | http://www.osti.gov/scitech/servlets/purl/1149958
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| Citation statistics: |
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| 资源类型: | 研究报告
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/41459
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| Appears in Collections: | 过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响
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| 1149958.pdf（264KB） | 研究报告 | -- | 开放获取 | | View
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作者单位: | 1. Univ. of Washington, Seattle, WA (United States)
2. California Ins
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| Recommended Citation: | |
Lidstrom, Mary E.,Chistoserdova, Ludmila,Kalyuzhnaya, Marina G.,et al. Systems level insights into alternate methane cycling modes in a freshwater lake via community transcriptomics, metabolomics and nano-SIMS analysis. 2014-01-01.
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