f.s. colwell, b. briggs, p. carini, m. torres (oregon state univ)
DESCRIPTION
Fine scale control of microbial communities in deep marine sediments that contain hydrates and high concentrations of methane. F.S. Colwell, B. Briggs, P. Carini, M. Torres (Oregon State Univ) M.E. Delwiche (Idaho National Laboratory) E. Brodie (Lawrence Berkeley National Laboratory) - PowerPoint PPT PresentationTRANSCRIPT
Fine scale control of microbial communities in deep marine sediments
that contain hydrates and high concentrations of methane
F.S. Colwell, B. Briggs, P. Carini, M. Torres (Oregon State Univ)
M.E. Delwiche (Idaho National Laboratory)E. Brodie (Lawrence Berkeley National Laboratory)R. Daly (UC Berkeley)A. Hangsterfer, M. Kastner (Scripps)M. Holland (Geotek Ltd.)P. Long, H.T. Schaef (Pacific Northwest National
Laboratory)W. Winters (USGS Woods Hole)M. Riedel (McGill Univ)
Acknowledgements: U.S. Department of Energy, Office of Fossil Energy, National Energy Technology Lab; Integrated Ocean Drilling Program, Science Parties from Leg 204 & NGHP Offshore India
How does fine-scale variability in marine sediments control the number, type and distribution of microbial communities (methanogens, heterotrophs)?
--> Refine computational models with biological rate terms that are consistent with sediment conditions.
Approach:• Microbiology
Methanogen enumeration (OSU); molecular ecology by PhyloChip, t-RFLP, and clone library (LBNL/UCB, OSU, Scripps)
• Geology/chemistryTemperature, IR imagery (PNNL); grain
size analysis (USGS WH); porewater chemistry (OSU; Scripps); hydrocarbons, C-isotope ratios, hydrogen (USGS)
• Multivariate analysisNonmetric multidimensional scaling
Hydrate
No hydrate
M = MicrobiologyG/S = geochem, sedimentology, etc.
0mbsf
100mbsf
geochemistry, sedimentology
microbiology
geochemistry, sedimentology
microbiology
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17A
19A
• 46 microbiology cores• 31 hydrate; 15 non-hydrate• Mostly KG Basin (passive margin)• 12 from Andaman Islands (deep hydrates, convergent margin)
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15ACl- temperature IR images
DNA extractions (Scripps, OSU)
PCR on DNA extracted from India samples
• Diluted DNA is more likely to amplify:– correct concentration?– dilution of inhibitors?
• Bacterial vs. archaeal DNA is: – more prevalent?– more easily extracted?– more easily amplified?
Terminal restriction fragment length polymorphism (T-RFLP)
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from Gruntzig et al. 2002
PhyloChip
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-500,000 probes300,000 target 16S genes2 domains --> 9000 taxa
t-RFLP
rela
tive
flu
ore
sce
nce
21A 78.1 22
14A 103 16
20A
115.3 12
20A
120.7 21
Sit
e
Dep
th (
mb
sf)
Ph
ylo
typ
es
t-RFLP perfomed on DNA amplified using archaeal primers and HaeIII as the restriction enzyme No matches with t-RFs entered in the MSU RDPII database
Archaea- Key observations:
-methanogens, ANME-1 present-High temperature archaea most abundant in 10D-4H-Low temperature methanogen most abundant in 10D-10X -non-hydrate samples are more similar to each other than to hydrate samples; however, not very similar-ANME-1 has highest intensity in 10D-4h (shallowest sample)
3B-20X
10D-4H
10D-10X
14A-19X
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200-800 taxa detected
Bacteria
- Key observations:-Sulfate reducers, sulfur oxidizers, ANAMMOX, acetogens, aerobic methanotrophs, metal reducers
3B-20X
10D-4H
10D-10X
14A-19X
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An unusual microbial community in methane-rich sediments?• pink/orange
slime• fractures; 0.5-20
mbsf• large coccoid
cells, often as tetrads
• above the SMI
Offshore India
Hydrate Ridge
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Offshore Vancouver Island (Riedel et al. 2006)
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Ca. 30 um
SummaryFine-scale control of microbial communities:• Preliminary molecular data suggests numerous
taxa detected including:– Archaea: methanogens, anaerobic methanotrophs,
thermophiles– Bacteria: sulfate reducers, sulfur oxidizers, metal
reducers, ANAMMOX, acetogens, aerobic methanotrophs
• C, S, N, and metal biogeochemical cycles possible
Next…• Multivariate analysis of communities; reconcile
with geochemistry, geology; determine controlling factors
• Determine identity and biogeochemistry of intriguing shallow biofilms
• Relationship of methanogenic rates to molecular biology data
Steady-state view of the global carbon cycle (Dickens, 2003)
• Accurate estimates to come from temporal modeling of CH4 inputs and outputs in appropriate hydrate environments
• CH4 inputs are poorly understood
• Realistic rates of methanogenesis?
• Methanogen locations and controlling factors?
• Other biogeochemical processes to sustain the system?
4H2 + CO2 CH4 + 2H2OCH3COOH CH4 + CO2