4.8 Article

Ecogenomic sensor reveals controls on N2-fixing microorganisms in the North Pacific Ocean

期刊

ISME JOURNAL
卷 8, 期 6, 页码 1175-1185

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/ismej.2013.244

关键词

autonomous sensing; biosensors; diazotrophs; microbial oceanography; nitrogen fixation; time-series

资金

  1. Gordon and Betty Moore Foundation
  2. David and Lucile Packard Foundation
  3. NSF Center for Microbial Oceanography, Research and Education (C-MORE grant) [EF0424599]
  4. Gordon and Betty Moore Foundation Marine Microbiology Investigator Program
  5. NSF [OCE0425363, OCE0850827, OCE0926766]
  6. Division Of Ocean Sciences
  7. Directorate For Geosciences [1260164] Funding Source: National Science Foundation
  8. Division Of Ocean Sciences
  9. Directorate For Geosciences [1153656] Funding Source: National Science Foundation

向作者/读者索取更多资源

Nitrogen-fixing microorganisms (diazotrophs) are keystone species that reduce atmospheric dinitrogen (N-2) gas to fixed nitrogen (N), thereby accounting for much of N-based new production annually in the oligotrophic North Pacific. However, current approaches to study N-2 fixation provide relatively limited spatiotemporal sampling resolution; hence, little is known about the ecological controls on these microorganisms or the scales over which they change. In the present study, we used a drifting robotic gene sensor to obtain high-resolution data on the distributions and abundances of N-2-fixing populations over small spatiotemporal scales. The resulting measurements demonstrate that concentrations of N-2 fixers can be highly variable, changing in abundance by nearly three orders of magnitude in less than 2 days and 30 km. Concurrent shipboard measurements and long-term time-series sampling uncovered a striking and previously unrecognized correlation between phosphate, which is undergoing long-term change in the region, and N-2-fixing cyanobacterial abundances. These results underscore the value of high-resolution sampling and its applications for modeling the effects of global change.

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