lecture outline single cell activity - ctc ecology of aerobic, anoxygenic photoheterotrophic...
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Lecture outline
• Single cell activity - CTC
• Ecology of aerobic, anoxygenic photoheterotrophic bacteria (AAPs)
• Bacterivory - do nanoflagellates select bacteria to eat?
• Matching phylogeny and metabolism one cell at a time
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Conceptualization
• Most marine bacteria are inactive at any given time and place (refuge: “hiding out in the open”)
• These bacteria form an “information database” of phylogenetic and metabolic diversity.
• Substrate sources are patchy in space and intermittent in time.
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Conceptualization (2)
• Patches of active bacteria form in microzones of high substrate (DOC) supply.
• These activity patches resupply the background of dormant bacteria.
• State-of-the-art techniques now allow us to test hypotheses associated with these concepts.
• Single cell activity measures
• Molecular genetic techniques
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The CTC Method
• 5-Cyano-2,3-ditoyl Tetrazolium Chloride
• CTC is reduced intracellularly in respiring cells to
form an insoluble, fluorescent precipitate
(formazan, CTF)
• Individual active cells can be identified by
microscopy or flow cytometry
• Counting CTC+ cells and total cells yields “%
actively respiring cells”
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CTC Controversy• CTC active cells are a small proportion of the
total (mostly less than 10%, rarely over 30%)• CTC is toxic to cells (Ullrich et al.)• Microautoradiography shows >90% of cells
take up labeled “goodies” (sugars, amino & nucleic acids)
• CTC indicates respiration - not cell growth or productivity - what is “active”?
• All marine bacteria tested reduce CTC in culture (Sherrs)
• Detection limit for weakly active cells
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CTC Detection by Flow Cytometry
Total bacteria(PicoGreen)
CTC+ bacteria
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Cell Activity CTC
45678A0204060B234567010203040506070Time C1010101010
Sieracki et al. 1999. AEM 65:2409-2417
• Dilution/growth experiment
• % active peak at max growth rate
• Mean CTF fluorescence lowest at max growth rate
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Seasonal CycleBoothbay Harbor
Range Factors
Total bact: 11 X
CTC+: 160 X
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Diel Pattern in CTC+ Cells
0
1
2
3
4
5
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0 5 10 15 20 25 30 35 40 45 50Time (h)
CTC+ cells
Total cells
Tide
Sunlight
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October ‘01 March ‘02
Stationssampled forbacteria
Wide trophic gradient
R/V CapeHattaras
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30000
60000
90000
120000
7.5 15.0 22.5
TEMP (C)
CTC active (N/
ml)
30000
60000
90000
120000
7.5 15.0 22.5
TEMP (C)
CTC active (N/
ml)
-300
-200
-100
0
30000 90000
CTC active (N/ml)
Depth (m)
-300
-200
-100
0
30000 90000
CTC active (N/ml)
Depth (m)
CTC-active bacteria higher in surface waters
CTC-active bacteria are not correlated with temperature overall,
but are within systems
CTC-Active Bacteria - 2 cruises, N=185
X- Coastal
O-Sargasso
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Active bacteria correlated with the smallest size fraction of
chlorophyll (r2=0.62)
30000
60000
90000
120000
-0.00 1.50 2.25
ww CHL (µg/L)
CTC active (N/
ml)
30000
60000
90000
120000
-0.00 1.50 2.25
ww CHL (µg/L)
CTC active (N/
ml)
30000
60000
90000
120000
-0.0 0.5 1.0 1.5
<3 µ CHL (µg/L)
CTC active (N/
ml)
30000
60000
90000
120000
-0.0 0.5 1.0 1.5
<3 µ CHL (µg/L)
CTC active (N/
ml)
Also correlated with total chlorophyll
(r2=0.57)
< 3 umChlorophyll
Whole WaterChlorophyll
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Substrate-CTC Bioassays• 8 experiments on October cruise
• Low molecular wt. substrates added for 30min, then CTC assay (60min)
– Methylamine, glucose, DMS, leucine
• Concentrations: 50 to 500 nM
• Results shown as number of active bacteria as % of un-amended control
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Substrate-CTC Bioassays
0
100
200
300
400
500
600
700
800Gulf of Maine (N=4)Gulf StreamSargasso (N=2)Sargasso-300m
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Sorting CTC Active Bacteria
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“New” ocean bacterial photo-metabolisms
Karl 2002 Nature 415:591
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“New” ocean bacterial photo-metabolisms
Karl 2002 Nature 415:591
AAPs
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Aerobic Anoxygenic Phototrophs
DAPI - UV BacChl - IR
GeorgesBank
Sargasso Sea
Sieracki ME, et al. (2006) Distribution of planktonic aerobic anoxygenic photoheterotrophic bacteria in the northwest Atlantic. Limnol Oceanogr 51:38-46
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Diverse AAP Morphologies
Rods and cocci
Vibrios
Spirilla
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Size Spectra
Total bacteria
AAPs
AAPs are larger than the average marine bacteria
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Sargasso Sea
October Vertical Profile
Microbial Community
QuickTime™ and aGraphics decompressorare needed to see this picture.
300
250
200
150
100
50
00 20 40 60 80100 0 5 10 15
x 10e3 mL-10 5 10 15 20 25
TChl
0 5 10 15
300
250
200
150
100
50
00 0.10.20.30.40.5
18 20 22 24
Chlorophyll (µg L-1)
Temperature (deg C)
100 300 500x 10e3 mL-1
AAPs Het.Bact.
Prochlor. Synecho. P.
Euks
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Relationships Between AAPs, Chlorophyll, and Temperature
0
20,000
40,000
60,000
80,000
100,000
120,000
0 5 10 15 20 25 30
Temp (°C)
AAPs /ml
B
0
20,000
40,000
60,000
80,000
100,000
120,000
0.0 0.5 1.0 1.5 2.0 2.5 3.0
Chl (ug/L)
AAPs /ml
CC
GB
GB
CC
CC
GB
A
0 0.5 1 1.5 2 2.5 3
Chlorophyll (µg/L)0 5 10 15 20 25 30
Temperature (degC)
AA
Ps
/mL
Coastal
Sargasso
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Summary of our AAP results
• AAPs are larger (more biomass per cell) than the average bacteria
• AAPs have diverse morphologies, especially in the open ocean
• AAPs are more abundant in productive, coastal waters than in the open ocean - they correlate with primary producers
• AAPs are a higher percentage of the total bacterial biomass in productive, coastal waters (2-12%) than in the open ocean (2-5%)
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AAP Ecology
… SO: AAP cell and biomass distributions do not support the hypothesis that these cells are specifically adapted to the low nutrient, open ocean environment
• Analogous to mixotrophic eukaryotes
• Larger AAP cells may be more active, and/or avoid grazing in open ocean
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Photoheterotrophs: potential light-accelerated carbon shunt in the microbial food web
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• Stain subsamples with Lysotracker and bacteria activity indicator (e.g. Syto-13)
• Sort active and total bacteria
• Sort heterotrophic protists
• PCR using prokaryote primers
• Use DNA fingerprinting (e.g. T-RFLP) to compare sorted fractions
Using cell sorting to study grazer
preferences for bacteria
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Sorting for activity and identification
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Single-cell genomicsHigh nucleic acid single bacteria sorted
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Multiple Displacement Amplification (MDA)
Phi-29 polymerase - just keeps on going….
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MDA -> Whole genome sequencing
Hutchison CA, Venter JC (2006) Nat Biotechnol 24:657-658
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Whole genome amplification of the uncultured marine bacteria
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qMDA: standards and controls
Stepanauskas R, Sieracki ME (2007) Matching phylogeny and metabolism in the uncultured marine bacteria; one cell at a time. PNAS 104:9052-9057
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Our library of 11 bacterial Single Amplified Genomes (SAGs)
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PCR primers used in this studyGene Primers Product,
bpReferences
Bacterial SSU rRNA 27F, 519F, 907R, 1492R various (41, 42)
Archaeal SSU rRNA S-D-Arch-0344-a-S-20, 907R
550 (43, 44)
Eukaryote SSU rRNA EUK328f, EUK329r 1500 (45, 46)
Proteorhodopsin o-PR2, o-PR3 330 (32, 34)
Bacteriochlorophyll, pufM pufM_228F, pufM_228R 228 (47)
Nitrogenase, Nitrogenase, nifHnifH nifUP, nifDN, NifH3, NifH4
450 (23, 48)
Assimilatory nitrate reductase, nasA
nas22, Nas1933, nas964, nasA1735
771 (24, 49)
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Comparison of trees
Two Flavobacterium with proteorhodopsin genes.These are being whole genome sequenced by JGI.There may be a PCR bias against Flavobacteria (Kirchman, et al. 2000)
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Workshop:Single Cell Alternatives to
Metagenomics in Environmental Microbiology
Financial support: the A.P. Sloan FoundationLocation: Spruce Point Inn, Boothbay Harbor, Maine
Time: 9 – 11 Sept 2007, hands-on 12-14 Sept
The workshop is limited to 40 participants. The Hands-On Section is pending additional funding and is
limited to 10 participants
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Workshop TopicsCurrent environmental genomics - the context for single
cell approachTechnical aspects of single cell genomics:• Separation and lysis of single cells• Single cell whole genome amplification• Sequencing and assembly of single cell genomes• Integration of single cell, isolate, and community genomic data
Science questions for the single cell genomics: Exploring global microbial diversity Examining ecological roles of the uncultured microorganisms Studying microbial evolution at organismal level Bio-prospecting and industrial applications of the uncultured
microorganisms Environmental viral genomics
OPTIONAL HANDS-ON SECTION• Fluorescence-activated cell sorting• Cell lysis, whole genome amplification, and PCR-screening • Bioinformatics