The Ocean's biomass and diversity are predominantly microbial, yet this aspect of diversity remains underexplored. Efforts in recent years have begun to document microbial diversity in marine systems, and to elucidate the processes that structure assemblages across space and time. This project focuses on two important sister clades of microbial eukaryotes, the oligotrich and choreotrich ciliates. These organisms comprise a major component of planktonic food webs as they graze on phytoplankton, and are in turn eaten by zooplankton and larval fish.
Earlier molecular work on ciliate diversity relied on light microscopy, construction of clone libraries and Sanger sequencing. This revealed a high degree of cryptic diversity (similar species that are genetically distinct), which is surprising, given the long-held idea that all microbes are globally distributed and that few species exist, at least as compared to animals and plants. This past work also showed that ciliate assemblages contain a few highly abundant forms and many rare ones, consistent with the concept of a "rare biosphere". However, these methods are limited by high costs of both labor and materials, so that efforts to sample any local assemblage comprehensively usually resulted in undersaturation (repeated sampling continued to uncover new species). Next generation approaches are needed to truly assess the depths of biodiversity in planktonic ciliates.
This project brings together investigators with strengths in ecology, taxonomy and oceanography (PI McManus) and in molecular evolution, systematics and bioinformatics (PI Katz). Pyrosequencing will be used to sample the oligotrich and choreotrich ciliates ’to exhaustion’ in coastal environments. Denaturing gradient gel electrophoresis (DGGE), a technique that generates a fingerprint of the diversity in a sample, will be used to pre-select samples for pyrosequencing based on where strong gradients are observed in the composition of assemblages in relation to environmental factors (density fronts, thermolclines, etc.). Using these approaches, combined with the informatics pipeline already in place, this project will address three specific objectives:
Objective 1. Determine the spatial scale of variability in ciliate diversity by measuring how ciliate assemblages change over meter, kilometer, 100 km, and basin scales.
Objective 2. Assess the contributions of different size classes of ciliates to overall assemblage diversity.
Objective 3. Experimentally evaluate factors that control the temporal shift of individual species from rarity to commonness in a natural assemblage, and vice versa.
Note: See the related collaborative project, "Patterns of diversity in planktonic ciliates: spatio-temporal scales and community assembly in the coastal ocean", funded by awards OCE-1435515 and OCE-1436003.
Dataset | Latest Version Date | Current State |
---|---|---|
Physical meta associated with marine metagenome samples collected collected on the R/V Cape Hatteras (CH0112) cruise in the NW Atlantic Continental Shelf during 2015 (CiliateSequencing project) | 2015-11-23 | Final no updates expected |
Planktonic ciliate DNA sequence GenBank accession numbers for samples collected on the R/V Cape Hatteras (CH0112) cruise in the NW Atlantic Continental Shelf during 2015 (CiliateSequencing project) | 2015-11-18 | Preliminary and in progress |
CTD data from 39 stations from R/V Cape Hatteras cruise CH0112 in the Northwest Atlantic Continental Shelf in 2012 (CiliateSequencing project) | 2013-06-07 | Final no updates expected |
Current velocities from ADCP from an R/V Lowell Weicker cruise in Fisher's Island Sound (NY/CT) in May 2012 | 2012-09-06 | Final no updates expected |
CTD data from 5 stations collected on an R/V Lowell Weicker cruise in Fisher's Island Sound (NY/CT) in 2012 | 2012-09-06 | Final no updates expected |
Principal Investigator: George McManus
University of Connecticut (UConn - Avery Point)
Co-Principal Investigator: Laura A. Katz
Smith College
Contact: George McManus
University of Connecticut (UConn - Avery Point)
BCO-DMO Data Manager: Shannon Rauch
Woods Hole Oceanographic Institution (WHOI BCO-DMO)