globalchange  > 全球变化的国际研究计划
项目编号: 1601106
项目名称:
DISSERTATION RESEARCH: A trait-based approach to characterize microbial community composition
作者: Jennifer Martiny
承担单位: University of California-Irvine
批准年: 2016
开始日期: 2016-06-01
结束日期: 2017-05-31
资助金额: 20085
资助来源: US-NSF
项目类别: Standard Grant
国家: US
语种: 英语
特色学科分类: Biological Sciences - Environmental Biology
英文关键词: stochastic variation ; natural microbial community ; project ; bag ; dispersal ; human health ; precipitation ; general public ; industrial output ; functional gene diversity ; taxonomic composition ; basic need ; natural community ; local community ; doctoral student ; critical role ; function ; stochastic force ; primary factor ; experimental design ; initial inoculum ; genetic information ; microbial taxonomic diversity ; functional gene ; environmental biology ; many taxa ; science education ; educational media ; non-profit organization ; ammonia assimilation ; microbial community composition ; microbial community ; deterministic variability ; current understanding ; orange county ; plant litter ; california state park ; nitrogen fixation ; small organism ; nutrient availability
英文摘要: One of the most surprising scientific discoveries is the critical role that bacteria and other microbes play in human and environmental biology. These small organisms determine the availability of nutrients that are essential to all life. Little is known about the factors that influence where microbes live, however, or how they work together to provide life's basic needs. This project will determine the importance of factors such as temperature, water, birth, death, and movement to the size, location, and composition of natural microbial communities. It focuses on microbes that cycle nitrogen, a nutrient that is critical for plant, animal, and human health across the globe. The project will advance the education and training of a doctoral student in modern scientific techniques and their application to natural communities. Results have the potential to improve agriculture and industrial output as well as human health. They will be translated to the general public through educational media and presentations at a California state park. The investigators will present their research to local communities through the Discovery Cube Science Center of Orange County, a non-profit organization with a goal to inspire citizens through science education.

This project will investigate the contribution of deterministic versus stochastic forces to variation in microbial community composition and function. Two hypotheses will be tested: 1) Stochastic variation of functional gene diversity will be lower than that of microbial taxonomic diversity and 2) Stochastic variation of functions carried out by fewer taxa (narrow functions such as nitrogen fixation) will be higher than stochastic variation of functions carried out by many taxa (broad functions such as ammonia assimilation). Deterministic variability derives from theoretically predictable factors such as precipitation or nutrient availability. In contrast, stochasticity affects diversity mainly through drift, which is in turn influenced by dispersal. This project will use bags filled with plant litter to replicate natural microbial communities. A crossed experimental design will manipulate a known, deterministic effect (ambient versus added precipitation) and dispersal (open versus closed to immigration). Metagenomes will be generated from three replicate samples per bag and for the initial inoculum. This genetic information about the microbial community will then be compared within and across treatments, looking both at taxonomic composition and functional genes, with a focus on the nitrogen cycle. Results will significantly advance current understanding of the primary factors affecting natural microbial communities.
资源类型: 项目
标识符: http://119.78.100.158/handle/2HF3EXSE/92219
Appears in Collections:全球变化的国际研究计划
科学计划与规划

Files in This Item:

There are no files associated with this item.


Recommended Citation:
Jennifer Martiny. DISSERTATION RESEARCH: A trait-based approach to characterize microbial community composition. 2016-01-01.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Jennifer Martiny]'s Articles
百度学术
Similar articles in Baidu Scholar
[Jennifer Martiny]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Jennifer Martiny]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.