期刊
NATURE MICROBIOLOGY
卷 1, 期 4, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/NMICROBIOL.2016.5
关键词
-
类别
资金
- NSF [1031743, 1136818]
- National Science Foundation Graduate Student Research Fellowship
- Gordon and Betty Moore Foundation Marine Microbiology Initiative [GBMF3779]
- Division Of Ocean Sciences
- Directorate For Geosciences [1136818] Funding Source: National Science Foundation
- Division Of Ocean Sciences
- Directorate For Geosciences [1031743] Funding Source: National Science Foundation
Marine phytoplankton perform approximately half of global carbon fixation, with their blooms contributing disproportionately to carbon sequestration(1), and most phytoplankton production is ultimately consumed by heterotrophic prokaryotes(2). Therefore, phytoplankton and heterotrophic community dynamics are important in modelling carbon cycling and the impacts of global change(3). In a typical bloom, diatoms dominate initially, transitioning over several weeks to smaller and motile phytoplankton(4). Here, we show unexpected, rapid community variation from daily rRNA analysis of phytoplankton and prokaryotic community members following a bloom off southern California. Analysis of phytoplankton chloroplast 16S rRNA demonstrated ten different dominant phytoplankton over 18 days alone, including four taxa with animal toxin-producing strains. The dominant diatoms, flagellates and picophytoplankton varied dramatically in carbon export potential. Dominant prokaryotes also varied rapidly. Euryarchaea briefly became the most abundant organism, peaking over a few days to account for about 40% of prokaryotes. Phytoplankton and prokaryotic communities correlated better with each other than with environmental parameters. Extending beyond the traditional view of blooms being controlled primarily by physics and inorganic nutrients, these dynamics imply highly heterogeneous, continually changing conditions over time and/or space and suggest that interactions among microorganisms are critical in controlling plankton diversity, dynamics and fates.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据