ABSTRACT: Marine eukaryotic communities from CALCOFI LINE 67, Pacific Ocean, that are photosynthetic - Uncultured metagenome B_678OS22_WFAD_1 metagenome
Project description:Marine eukaryotic communities from CALCOFI LINE 67, Pacific Ocean, that are photosynthetic - Uncultured metagenome A_B52T24S45_WFAD_2 metagenome
Project description:Marine eukaryotic communities from CALCOFI LINE 67, Pacific Ocean, that are photosynthetic - Uncultured metagenome C_6770S23_WFAD_1 metagenome
Project description:Marine eukaryotic communities from CALCOFI LINE 67, Pacific Ocean, that are photosynthetic - Uncultured metagenome E.2R_WS0722 metagenome
Project description:Marine eukaryotic communities from CALCOFI LINE 67, Pacific Ocean, that are photosynthetic - Uncultured metagenome F.1R_WS0722 metagenome
Project description:Marine eukaryotic communities from CALCOFI LINE 67, Pacific Ocean, that are photosynthetic - Uncultured metagenome D.1R_WS0722 metagenome
Project description:Marine microbial communities are critical for biogeochemical cycles and the productivity of ocean ecosystems. Primary productivity, at the base of marine food webs, is constrained by nutrient availability in the surface ocean, and nutrient advection from deeper waters can fuel photosynthesis. In this study, we compared the transcriptional responses by surface microbial communities after experimental deep water mixing to the transcriptional patterns of in situ microbial communities collected with high-resolution automated sampling during a bloom in the North Pacific Subtropical Gyre. Transcriptional responses were assayed with the MicroTOOLs (Microbiological Targets for Ocean Observing Laboratories) marine environmental microarray, which targets all three domains of life and viruses. The experiments showed that mixing of deep and surface waters substantially affects the transcription of photosystem and nutrient response genes among photosynthetic taxa within 24 hours, and that there are specific responses associated with the addition of deep water containing particles (organisms and detritus) compared to filtered deep water. In situ gene transcription was most similar to that in surface water experiments with deep water additions, showing that in situ populations were affected by mixing of nutrients at the six sampling sites. Together, these results show the value of targeted metatranscriptomes for assessing the physiological status of complex microbial communities.
