Folie 1

1
Abundance and structure of microorganisms related
to methane cycling in five European peatlands
Influence of plant cover and restoration stage
(WP1)
A. Gattinger et
al. Technical University of Munich(at the
campus of GSF-Research Center for Environment
Health)Chair of Soil Ecology D- 85764
Neuherberg

2
I. Depth distribution of archaeal (methanogenic)
biomass among countries
Pooled for country
Country x Depth
100,00
80,00
60,00
PLEL_(nmol/g dm)
40,00
20,00
329
0,00
3
I. Depth distribution of methanotrophic biomass
(Type I and II) among countries
Pooled for country
Country x Depth
15,00
140,00
120,00
15,00
100,00
PLFA (nmol/g dry matter)
80,00
10,00
60,00
40,00
5,00
20,00
0,00
0,00
Country x Depth
Country
4
II. Methanogens to methanotrophs along gradients
Jura sites
Finnland
5
the presented data should be combined
with CH4/CO2 flux data for making system-related
studies...PLFA
analyses completed (WP1)apart from specific
biomarkers, data of other PLFA is avavailable
(saturated, mono-unsaturated and polyunsaturated
fatty acids) for calculating total biomasses of
eg. Bacteria, fungi, etc.
6
WP3 Microbial transformations of plant litter
(TUM-BO, ECOBIO, EPFL/WSL)
7
What do we want to know?

• Carbon transformation
• How much plant C is consumed by the microbial
  biomass?
• How much plant C is used by Bacteria, Archaea,
  Eukarya and when?
• How much plant C is somehow stabilised?

• 2. N transformation
• How much plant N is consumed by the microbial
  biomass?
• How much plant N is mineralised?
• How much plant N is somehow stabilised?

8
Simultaneous identification and quantification of
PLFA/PLEL from environmental samples and their
corresponding 12C/13C ratios by GC/MS-c-IRMS
20 of the analyte
AgilentMSD
MS(DSQ)
IRMS(DeltaPlusAdvantage)
80 of the analyte
9
SATFAs (Bacteria)
PUFAs (Eukarya)
10
Bacteria Gram-positive (i150)
Horizon
60
50
40
30
20
d 13C ()
10
0
-10
-20
81
-30
41
184
1
2
3
1
2
3
1
2
3
sampling date ( 15d, 60d, 150d)
Control
Sphagnum
Eriophorum
11
Bacteria Gram-positive (a150)
145
Horizon
60
50
40
30
20
d 13C ()
10
0
179
-10
-20
20
186
-30
1
2
3
1
2
3
1
2
3
sampling date
Control
Sphagnum
Eriophorum
12
Bacteria Gram-negative (cy170)
Horizon
60
50
40
30
20
d 13C ()
10
0
-10
-20
23
175
56
-30
106
83
184
21
-40
1
2
3
1
2
3
1
2
3
sampling date
Control
Sphagnum
Eriophorum
13
Bacteria Gram-negative (cy190)
Horizon
60
50
40
30
20
d 13C ()
10
0
-10
-20
-30
184
107
-40
1
2
3
1
2
3
1
2
3
sampling date
Control
Sphagnum
Eriophorum
14
Archaea Euryarchaeota (i200)
Horizon
80
70
60
50
40
30
d 13C ()
20
10
0
101
-10
108
186
-20
-30
-40
1
2
3
1
2
3
1
2
3
sampling date
Control
Sphagnum
Eriophorum
15
Eukarya Fungi (182d9,12)
Horizon
70
60
50
41
40
30
20
d 13C ()
10
0
-10
-20
35
-30
-40
1
2
3
1
2
3
1
2
3
sampling date
Control
Sphagnum
Eriophorum
16
Eukarya Protozoa (204d5,8,11,14)
Horizon
40
30
20
10
d 13C ()
0
-10
-20
47
161
33
-30
9
142
12
-40
1
2
3
1
2
3
1
2
3
sampling date
Control
Sphagnum
Eriophorum
17
What needs to be done?

• Carbon transformations
• LC/IRMS of prepared microbial biomass C (CFE)
  extracts
• Calculation of group-specific microbial plant C
  utilisation
• Mass balance for the whole system

• 2. Nitrogen transformations
• EA-IRMS of prepared microbial biomass N (CFE)
  extracts
• EA-IRMS of mineral N extracts (?)
• Calculation of microbial plant N utilisation
• Mass balance for the whole system

18
LC IsoLink
19
Chromatogramm
20
Reproduzierbarkeit des LC/IRMS-Signals

• Neue Methode ist
• reproduzierbar stabil
• sensitiv
• effizient (ca. 100 Proben/Tag)

n 3 SE