nimbios investigative workshop individual-based ecology of microbes: observations and modeling

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NIMBioS Investigative Workshop Individual-Based Ecology of Microbes: Observations and Modeling June 8-10, 2011 Knoxville, Tennessee Q3: Interactions with the environment Elucidating the bacteria responsible for utilization of dissolved organic matter in streams Philips Akinwole

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NIMBioS Investigative Workshop Individual-Based Ecology of Microbes: Observations and Modeling June 8-10, 2011 Knoxville, Tennessee Q3: Interactions with the environment Elucidating the bacteria responsible for utilization of dissolved organic matter in streams Philips Akinwole. - PowerPoint PPT Presentation

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Page 1: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling

NIMBioS Investigative WorkshopIndividual-Based Ecology of Microbes: Observations

and ModelingJune 8-10, 2011

Knoxville, Tennessee

Q3: Interactions with the environment

Elucidating the bacteria responsible for utilization of dissolved organic matter in

streams Philips Akinwole

Page 2: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling
Page 3: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling

Personal Introduction

MSc in Environmental Science and Technology (2003-2005)International Institute for Infrastructural, Hydraulic, and Environmental Engineering, (UNESCO-IHE), Delft, the NetherlandsProject: Litter decomposition across multiple spatial scales in German stream networks

so…I’m broadly trained in stream and microbial ecology using stable isotope probing and phospholipid techniques (a multidisciplinary approach) to link microbial community structures to functions

… presentlyPhD Candidate in Microbial Ecology/ Department of Biological SciencesUniversity of Alabama, Tuscaloosa, AL (2007…)

… interested in linking microbial community structures to functionsPresenting Projects: Stable Isotope Probing of Dissolved Organic Matter Processing in StreamsSpatial Patterns of Microbial Signature Biomarkers in Stream NetworksMeasuring dissolved organic matter spiraling lengths: whole stream releases

Page 4: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling

Elucidating the bacteria responsible for utilization of dissolved organic matter in streams

Streams and rivers can be found everywhere. Bodies of flowing water moving in one direction from headwaters (springs, snowmelt or even lakes) and then travel all the way to their mouths, usually another water channel or the ocean. The characteristics of a river or stream change during the journey from the source to the mouth. Full of life; from microbes to plants (algae and macrophytes) and animals (fish and macroinvertebrates).

… some concepts

Dissolved organic matter (DOM), the largest pool of carbon in aquatic ecosystems, is heterogeneous in nature and supplies the needed energy and carbon to microbes; in streams it may meet the majority of heterotroph carbon demand (Kaplan et al., 2008).

…bacterial are the main heterotrophic microorganisms in stream responsible for the breakdown of organic biomass and the recycling of various key elements (N,P,S,C)

Neversink River, NY

Page 5: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling

Elucidating the bacteria responsible for utilization of dissolved organic matter in streams

One of the methods (biochemical and molecular) of studying microbial diversity/community structure is the Phospholipid Fatty Acid (PLFA) Analysis PLFAs are a major component of the cell membrane of all microbes (bacteria and eukaryotes) and they only remain intact in viable cells. are relatively easily extracted from natural samples. PLFA analysis as biomarkers provides direct information on the whole microbial community including quantitative information on  viable (living) biomass, community structure (Population “Fingerprint”) and microbial activity. Fatty acids are identified and quantified by gas chromatograph (GC).

Page 6: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling

Elucidating the bacteria responsible for utilization of dissolved organic matter in streams

Stable Isotope AnalysisIsotopes are forms of an element that differ in the number of neutron (H, C, N, O & S)- functions as natural dyes/colors, generally tracking the circulation of elements (discrimination between heavy and lighter isotopes).-- trace ecological connections at many levels, from individual microbes to whole landscapes

Direct links between microbial identity and biogeochemical processes are now possible with stable isotope analysis of biomarkers (lipids, amino acids & nucleic acids)Usually, stable isotope ratios are given in the δ-notation,

which for carbon is defined as:

… measured with the gas chromatography-combustion-isotope ratio mass spectrometry (GC/C/IRMS).

Page 7: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling

In stream ecosystems, monomeric constituents of DOM are most labile while polymeric /humic substances of terrestrial origin are the major constituents of DOM pool (40-70% of DOM in rivers) and have been considered biochemically refractory (Benner 2003)

… and poorly used by microbiota due to the apparent chemical recalcitrance of humic substances.

Elucidating the bacteria responsible for utilization of dissolved organic matter in streams

Recent studies (Frazier et al.2005, Kaplan et al., 2008 etc) have suggested the susceptibility of humic substances to microbiological and photolytic oxidations and could provide a supplement to heterotrophic metabolism.

Page 8: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling

This study was framed within the general question “Does streamwater DOM contribute significantly to stream ecosystem metabolism?” and particularly addressed the question “Which microorganisms within the stream community utilize humic-DOM?”

Elucidating the bacteria responsible for utilization of dissolved organic matter in streams

-generate a tracer model that is more reflective

of natural stream DOM, contrasting the use of

bicarbonate or acetate as tracers (e.g. Pace et

al., 2004; Johnson & Tank 2009),- we synthesized a 13C-DOM tracer from tulip

poplar tree-tissues with size and lability

fractions approximating streamwater DOM

(Wiegner et al., 2005).

…to do this

Page 9: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling

min24 26 28 30 32 34 36 38

pA

0

100

200

300

400

500

600

700

FID1 B, (CHYTRID1\RI.D)

24.126

26.706

28.568

28.814

29.244

30.335

30.481

30.772

30.906

31.066

31.545

32.553

32.620

32.741

32.940

33.207

33.300

33.805

35.286

36.816

36.899

39.427

Elucidating the bacteria responsible for utilization of dissolved organic matter in streams… research activities

Collection of streambed sediment from WCC

Sediments were incubated in mesocosm chambers with 175 µg C L-1 13C – labeled DOM

Microbial biomass and community structure were analyzed by PLFA

The fatty acid methyl esters (FAMEs) obtained from PLFA analyses were identified and quantified by GC, and analyzed for their δ13C values using the GC-IRMS.

For each experiment , treatments were identified as: T0 – sediments collected from WCC at the beginning of the experiments; T13C – sediments incubated for 48hrs in streamwater amended with 13C-labeled leachate and, T50 – sediments incubated for 48hrs in streamwater.

Four experiments were conducted in the light (unfiltered sunlight) and dark (chambers were covered with styrofoam and black plastic)

Page 10: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling

Results

Elucidating the bacteria responsible for utilization of dissolved organic matter in streams

br17:1a, a17, 18:1w5, i17, cy17:0, br18:0a, 10me16, i16, cy19, a15

22:6w3, 16:1w13t, 20:5w3, 16:3, 20:4w6, br18:0c, 14:0

16:1w7c br17:0, 16:4w1

17:0, 22:0, br19:1a, 20:0, 18:0, 18:1w9

PCA to evaluate changes in total microbial community structure during mesocosm incubation. Red arrows emphasize a comparison between T0 and T48/50 data (mesocosm controls) while blue arrows emphasize a comparison between T0 and T13C data (13C-DOM treatment). [● (Exp1), ♦ (Exp 2), ▲(Exp3), ■ (Exp4)]

Page 11: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling

Results

i15

a15

16 cl

uste

r*

16:0

10m

e16

cy17

,coel

uter

18 cl

uste

r*

cy19

20 cl

uste

r*

21:0

, 22:

6w3

-45

-40

-35

-30

-25T0/ Exp1 T48/Exp1 T13C/Exp1

PLFAs

δ13C

val

ue (

‰)

Elucidating the bacteria responsible for utilization of dissolved organic matter in streams

Stable carbon isotopic information for PLFAs from Experiment 1 (Dark) sediment incubated with and without 13C-labelled DOM

T0 = natural stream sediments T48 = natural steam sediments incubated with recirculating streamwater for 48 hrs T13C = natural steam sediments incubated with recirculating streamwater amended with 13C-DOM for 48hrs

Page 12: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling

FAME Bio marker EXP 1 (Dark)

EXP 2 (Light)

EXP 3 (Light)

EXP 4 (Light)

i15:0 Prokaryote √ √ √ √

a15:0 Prokaryote √ X √ √

16:0 Non specific √ √ √ √ 16:1w7c,

16:1w5c Prokaryote √ Depletion √ √

16:1w9 Non specific √ √ √ √

10me16:0 Prokaryote X X X X

cy17:0 Prokaryote √ X X X

18:2w6 Eukaryote X X ? X

18:3w3 Eukaryote √ X ? X 18:1w9c,

18:1w7c Non specific √ √ √ √

cy19:0 Prokaryote √ X X X

20:4w6 Eukaryote √ X ? ?

20:5w3 Eukaryote √ √ √ X

22:6w3 Eukaryote √ X X X

√= Enrichment X = No enrichment ? = Potential enrichment

Summary of incorporation of 13C-labeled DOM into microbial lipid by experiment

Results

Incorporation of label into PLFA was studied in light and dark incubations .Dark incorporation was fully sensitive to 13C-labelled DOM utilization

Page 13: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling

Conclusions

The PCA analysis of microbial biomass and community structure validate the robustness of mesocosm-based experimental design for determining the role of sediment microbes in processing streamwater DOM via incorporation of 13C-DOM into microbial fatty acids.

PLFA analysis indicated that both phototrophic and heterotrophic microeukaryotes were present in the sediment community. For the dark experiment, we assume that the 13C- labeled DOM uptake by prokaryotes is direct and not facilitated by photolysis.

The consistently labeled fatty acids: i15:0. 16:0, 16:1w9, 18:1w9c and 18:1w7c in our study are found in bacteria often associated with aerobic or facultative anaerobic metabolism (Findlay 2004).

Fatty acids 10me16:0 (showed no labeling) and cy17:0 (only showed moderately labeling when sediments were incorporated in the dark) are consistently found in bacteria associated with anaerobic metabolism, such as sulfate reducing bacteria.

Eukaryotic marker fatty acids (20:4w6, 20:5w3) were most constantly labeled in the dark experiment suggesting that microeukaryotic predators are consuming bacteria utilizing 13C-labeled DOM.

Page 14: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling

… motivation for and challenges in individual base approach

Individual based approach use information at the level of individual organisms and derive characteristics of the population as an integral of all individuals represented in the population.

- Successfully applied in conservation biology…however, they include many parameters which are difficult to estimate for natural populations and which rely on very detailed knowledge on the species and the spatial structure of its populations.

- I’m interested in how to apply/use individual base model in my work, - advances made in microbial ecology, - applications and uses in other areas

Page 15: NIMBioS Investigative Workshop Individual-Based Ecology of  Microbes: Observations  and  Modeling

Thank you