Environmental MicrobiologyMicrobiologyPeer-reviewed journal article
Composition, growth, succession, and function in the Cladophora microbiome: insights from quantitative Stable Isotope Probing and NanoSIMS imaging
Raina FitzpatrickiD, Bruce A. HungateiD, Mary E. PoweriD, Megan M. FoleyiD, Ty J. SamoiD, Egbert SchwartziD, Michaela HayeriD, Peter M. WeberiD, Jennifer Pett‐RidgeiD, Jane Claire MarksiD
Abstract
The branching green macroalga Cladophora glomerata and its epiphytic microbiome dominate summer biomass in the Eel River, a Northern California river under Mediterranean (summer drought, winter rain) seasonality. Green Cladophora streamers proliferate in early summer, then change to yellow and then red-brown as epiphyte loads increase. We characterized successional changes in epiphytic bacteria on Cladophora, examining both community composition and growth rates, using quantitative Stable Isotope Probing (qSIP) and16S rRNA gene amplicon sequencing. The number of bacterial taxa increased with succession while growth rates peaked in the middle stage. NanoSIMS imaging confirmed high sulfur (S) concentrations in Cladophora cell walls relative to surrounding biomass, coinciding with a bloom of sulfur bacteria (bacteria that reduce or oxidize sulfur/sulfates). In general, relative abundances and growth rates were independent, indicating that either metric alone is insufficient for understanding how taxonomy and functional groups affect ecosystem processes. For instance, the relative abundance of nitrogen fixers peaked in the late summer when their relative growth rates were slowest. Such patterns may be driven by space competition limiting growth. Together, changes in abundance and relative growth rates suggest different limiting factors for different functional groups in the Cladophora microbiome at multiple successional stages.
- organism: plant (other)
- assay: metagenomics
- research focus: ecology & biodiversity
- research focus: cell type annotation
- research focus: spatial domain detection
- research focus: differential expression
- approach: experimental assay
- Citations
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- FWCI
- 0.00
- Field percentile
- 20th percentile
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