Team:Wash U/Project

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Overall, the cumulative culture growth of the WT exceeded that of DBCOmega (figure 3) due to the performance of the second tissue flask of the WT relative to that of DBCOmega (figure 1b) despite the photodamage that occurred in tissue flask 1 for the WT.  This cumulative culture growth can be considered photosynthetic productivty and is proportional to the amount of energy/desired product that can be obtained from these cultures.  <br><br>
Overall, the cumulative culture growth of the WT exceeded that of DBCOmega (figure 3) due to the performance of the second tissue flask of the WT relative to that of DBCOmega (figure 1b) despite the photodamage that occurred in tissue flask 1 for the WT.  This cumulative culture growth can be considered photosynthetic productivty and is proportional to the amount of energy/desired product that can be obtained from these cultures.  <br><br>
-
It is an interesting exercise to model how our mutant system would perform under these same conditions.  To do so, the LH2 saturation curve for the WT and the relative contribution of LH1/LH2 light absorbance to growth was derived from our empirical and applied to a model that took into account incident light and gave the relative growth in terms of optical density as an output.  In this model, our synthetic regulation system of pucB/A allowed our mutant to outperform the wild type species (figure 7).  This was  due to the performance of the 3rd, 4th, and 5th tissue flask relative to those of the wild type (see figure 7 layers 1,2 vs 1-5).  The reason for this is that the wild type LH2 light saturation curve does not vary with changes in incident light intensity as the wild type expresses pucB/A at a uniform level under low oxygen conditions.  As a result, the first two layers of Wild Type bioreactors absorb nearly all the available light and starve the bioreactors behind them for photons.  <br>
+
It is an interesting exercise to model how our mutant system would perform under these same conditions.  To do so, the LH2 saturation curve for the WT (figure 6) and the relative contribution of LH1/LH2 light absorbance to growth was derived from our empirical and applied to a model that took into account incident light and gave the relative growth in terms of optical density as an output.  In this model, our synthetic regulation system of pucB/A allowed our mutant to outperform the wild type species (figure 7).  This was  due to the performance of the 3rd, 4th, and 5th tissue flask relative to those of the wild type (see figure 7 layers 1,2 vs 1-5).  The reason for this is that the wild type LH2 light saturation curve does not vary with changes in incident light intensity as the wild type expresses pucB/A at a uniform level under low oxygen conditions.  As a result, the first two layers of Wild Type bioreactors absorb nearly all the available light and starve the bioreactors behind them for photons.  <br><br>
Conversely, our mutant was modeled to have a dynamic expression of pucB/A based on the incident light intensity. This light response curve was modeled as an inverse exponential for the Cph8/OmpR ompC Promoter system and the saturation curve changes for each tissue flask in accordance with the incident light intensity- as light intensity decreases, the expression pucB/A increases.  This results in more light passing through the first 2 flasks and facilitating greater growth in flasks 3, 4 and 5 as they express large antenna complexes.   
Conversely, our mutant was modeled to have a dynamic expression of pucB/A based on the incident light intensity. This light response curve was modeled as an inverse exponential for the Cph8/OmpR ompC Promoter system and the saturation curve changes for each tissue flask in accordance with the incident light intensity- as light intensity decreases, the expression pucB/A increases.  This results in more light passing through the first 2 flasks and facilitating greater growth in flasks 3, 4 and 5 as they express large antenna complexes.   

Revision as of 03:19, 22 October 2009


Introduction

Our project goal is to maximize the photosynthetic productivity for a series of photobioreactors containing Rhodobacter sphaeroides under both high and low light intensities by synthetically regulating the size of the light-harvesting antenna complex LH2. We chose to undertake such a project in R. sphaeroides due to its well-characterized photosynthetic and genetic system.

The antenna system functions to expand the spectrum of light available for photosynthesis by absorbing different wavelengths than that of the reaction center. Essentially, it is like the dish around the main receiver of any antenna. Marine bacteria, such as R. sphaeroides, evolved very large antenna complexes to absorb light in a natural environment where there is great competition for photons. As a result, the photosynthetic machinery is saturated at low light intensities in a synthetic non-competitive environment, such as a photobioreactor. This causes up to 95% of incidental photons to be dissipated as heat or fluorescence by bacteria through a process called Non-Photochemical Quenching (NPQ) (Mussgnug et al., 2007). In essence, these photons are being wasted as NPQ reduces light penetration into and across bioreactors and starves the shaded cells for for photons. One method that has been shown to improve photosynthetic productivity in photobioreactors is the reduction of light-harvesting antenna sizes (Polle et al., 2002, Mussgnug et al., 2007). Though, current approaches to this end are difficult to precisely control from the perspective of biological engineering and synthetic biology.

Our intention is to create a dynamic system to vary antenna size that is dependent on incident light intensity and that can be readily optimized using bioengineering principles. This synthetic regulation of the LH2 complex should result in the bacteria grown under high light intensities expressing fewer LH2 complexes than the cells that are more shaded, leading to a reduction of wasted incident photons while maintaining a high overall absorbance across subsequent bioreactors. Consequently, we expect to see an increase in the total photosynthetic productivity for our mutant Rhodobacter sphaeroides when compared to the wild type grown under similar conditions.

Wild Type Energy Production in a series of Bioreactors Synthetically Regulated Antenna Energy Production in Bioreactors
Slide09b.jpg
Slide10 a.jpg




















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Organism

Rhodobacter sphaeroides is a purple Alphaproteobacteria. It is flexible metabolically and can grow heterotrophically via aerobic and anaerobic respiration, as well as phototrophically under anaerobic conditions with light.

R. sphaeroides is one of the best understood photosynthetic organisms. The photosystem is located in intracytoplasmic membrane invaginations and the main components are the Light Haresting Complex 2 (LH2), Light Harvesting Complex 1 (LH1), and the Reaction Center (RC). These pigment-protein complexes non-covalently bind bacteriochlorophylls and carotenoids. LH1 and RC make up the core complex and are often found in the ratio 1:1. LH2 is more peripheral and naturally ranges in the ratio to LH1/RC of 3.0:1 to 6.7:1 under varying light conditions (Scheuring et al., 2005). LH2 absorbs photons maximally at the wavelengths of 850 and 800 nm and funnels its energy to LH1 and the reaction center for photochemistry. (Scheuring et al., 2005).

The two subunits of LH2 are coded for by the pucB/A genes and are naturally promoted by the puc promoter.


ICM of R. sphaeroides
R sphaeroides photosystem.png
source:Sener et al.2007


LH2 Absorption Spectra Plate of R. sphaeroides 2.4.1
R sphaeroides aborbance.png
R sphaeroides 0986.png


















source: Walz et al. 1998

Online Resources for R. sphaeroides

[http://www.kazusa.or.jp/codon/cgi-bin/showcodon.cgi?species=272943 Codon Usage Table for R. sphaeroides 2.41]
[http://www.ncbi.nlm.nih.gov/sites/entrez?db=genome&cmd=Retrieve&dopt=Overview&list_uids=18843 R. sphaeroides 2.41 NCBI Genome Tools]
[http://archaea.ucsc.edu/cgi-bin/hgPcr?wp_target=&db=0&org=Rhodobacter+sphaeroides+2+4+1&wp_f=&wp_r=&wp_size=2000&wp_perfect=15&wp_good=15&wp_showPage=true&hgsid=159191 In silico PCR of R. sphaeroides 2.41 genome]


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Regulation

Pucregulation-fullpanels.png


The Natural System (Left) Under high oxygen tension, PpsR prevents transcription from the puc promoter of the pucBA genes, and thus prevents the expression of LH2(1st panel). Under low oxygen tension, this repression is removed by activated AppA, thus allowing expression of LH2 from pucBA(2nd panel).
Synthetic Regulation System (Right) Our system takes advantage of constitutive protein expression from the puc promoter at low oxygen tension, and replaces pucBA with Cph8 at this site. Placing pucBA expression under the control of the ompC promoter allows for Cph8/OmpR control of LH2 expression under varying light conditions. Under high intensity of incident light, Cph8 will not be autophosphorylated, preventing expression of pucBA (3rd panel). When light intensity is lower, Cph8 will autophosphorylate, thus phosphorylating and activating OmpR and promoting expression of LH2 from the ompC promoter.
This regulation system was designed such that light is able to penetrate deeper into and through photobioreactors where light is plentiful.


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Results

For methods, materials, and procedures regarding these results, please see Tissue Flask Experiment or Modeling

Figure 1

a Tissue Flask Position 1 Optical Density of Wild Type and DCBomega b Tissue Flask Position 2 Optical Density of Wild Type and DCBomega
Tissue Flask 1b.png
Tissue Flask 2b.png















c Tissue Flask Position 3 Optical Density of Wild Type and DCBomega d Tissue Flask Position 4 Optical Density of Wild Type and DCBomega
Tissue Flask 3b.png
Tissue Flask 4b.png
















e Tissue Flask Position 5 Optical Density of Wild Type and DBComega

Tissue Flask 5b.png

Figure 1a,b,c,d,e are the optical density of a tissue flask, as assessed at 600 nm, over the course of the 6 days of the experiment.


Figure 2

a The Change in the Optical Density of the Tissue Flasks for the WT b The Change in the Optical Density of the Tissue Flasks for the WT
3D 241.png
3D DBCOmega2.png
















Figure 2a and 2b display the growth of the tissue flasks as measured by OD assessed as absorbance at 600 nm. The graph is organized such that those closest to the "days" axis were closest to the light source (i.e. flask 1 is closer than flask 2).


Figure 3

a Cumulative Growth of Wild Type Tissue Flasks b Cumulative Growth of the DBComega Tissue Flasks
Bar 241 b.png
Bar DBCOmega b.png
















Figure 3a and 3b display the cumulative growth of the tissue flasks as measured by the sum of the optical density of the respective cell type's tissue flasks at a given day. Furthermore, the contribution of a given tissue flask to cumulative growth is displayed.


Figure 4

a Wild Type Tissue Flasks b The DBComega Tissue Flasks
Sphaeroides tissue flask.jpg
Dbc tissue flask.jpg




















Figure 4A and 4B display the appearance of the tissue flasks for both strains on day 6. They are arranged from left to right with left being closed to the light source (flask 1) and right furthest (flask 5)

Figure 5

a DBComega Spectrum by Flask Distance from Source b R. sphaeroides Spectrum by Flask Distance from Source
WT irradiance 3d.png
DBComega irradiance 3d.png




















Contour of Absolute Irradiance by Flash distance from Source

c R. Sphaeroides 2.4.1 d DBComega
R sphaeroides day 2 a.jpg
Dbc day 4b.jpg




















e Wild Type Absolute Irradiance Behind Flask 1: Day 6

Irradiance WT flask 1 day6.png

Caption for 5e


Figure 6
Nonlinear least-squares estimation of WT LH2 saturation curve
Saturation for WT as inferred.png
Caption for figure 6

Figure 7
Simulated Optical Density of Mutant and Wild Type Bioreactors
Layers One and Two . Layers Three, Four and Five

OD after flask 1 and 2.jpgOD after 3,4, and 5.jpg
Caption for Figure 7


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Analysis

Though we were not able to have our mutant functionally express our system, the tissue flask experiment was an interesting way to observe the effects of a full knockout of the Light Harvesting Antenna Complex 2 (LH2) vs the Wild Type on an array of consecutive photobioreactors. A couple of conclusions can be drawn from this data that can be used in modeling our synthetic regulation system for LH2 and in the future design of systems for the optimization of Light Harvesting Antenna size for photobioreactors .

The most striking difference between the Wild Type Rhodobacter Sphaeroides 2.41 and DBCOmega (LH2 knockout) growth patterns is that the first flask in the WT (closest to the light source) grew less than the second flask, while the converse was true in DBCOmega (figure 2a and 2b). This can be attributed to the photosystem saturation curves for the respective cultures. The Wild Type has an LH2 complex, meaning that their antenna size is inherently larger and that their photosystem will be saturated at lower light intensities than the LH2 deficient mutant. We observed that the incident light intensity used in this experiment led to oversaturation for the first WT tissue flask and resulted in growth-inhibiting photodamage, as is evidenced by its lesser growth relative to the second culture. In contrast, photodamage was not observed in DBCOmega as is evidenced by the first tissue flask that grew at the fastest respective rate. Furthermore, it appears that this photodamage slowed the growth of the first WT tissue flask to the point that the OD of this tissue flask was nearly equal to that of DBCOmega after 5 days of growth(.987 vs. .967) (figure 1a). As such, the contribution of LH2 to the growth of the WT in flask 1 can be assessed to be little after day 3 when the growth curve slows- though, this light (at 800 and 850 nm) was still greatly absorbed by flask 1 (Figure 5e). It is likely that much of this light was then wasted through Non-Photochemical Quenching (NPQ), depleting the flasks behind flask 1 of photons at the LH2 absorbtion peaks and decreasing the cumulative productivity of flasks 1-5. This effect of wasting photons though NPQ under high light intensities is one that we sought to minimize in the design of our synthetic regulation for the pucB/A genes.

A further a comparison of the WT and DBCOmega experiments reveals that the 3rd tissue flask in each had almost identical growth rates (figure 1c), while the DBCOmega 4th and 5th tissue flask outperformed that of the WT (figure 1d and 1e). This can simply be attributed to the higher density of cells in the 2nd flask of the WT that led to an overall lesser quantity of photons passing through to the 4th and 5th flasks in the WT experiment and likely resulting in heterotrophic growth (though this will need to be confirmed with a "dark control" experiment that should be completed in time for the Jamboree). This decrease in available photons for the WT can be seen by viewing the absolute irradiance data (incident light intensity at a given wavelength) after the third culture for the WT (figure 5a and 5c). This decrease in irradiance is the most pronounced for the LH2 absorption bands at 800 and 850 nm, as was expected. Our synthetic regulation system for pucB/A was designed with the intention of allowing greater penetration of light through the first couple of flasks at the LH2 wavelengths, as expression of pucB/A is inversely correlated to incident light intensity.

Thomas, add in some further comments about the sprectroradiometer stuff. Specifically about how it changes in the WT vs. that of DBCOmega using some specific examples on the graphs

Overall, the cumulative culture growth of the WT exceeded that of DBCOmega (figure 3) due to the performance of the second tissue flask of the WT relative to that of DBCOmega (figure 1b) despite the photodamage that occurred in tissue flask 1 for the WT. This cumulative culture growth can be considered photosynthetic productivty and is proportional to the amount of energy/desired product that can be obtained from these cultures.

It is an interesting exercise to model how our mutant system would perform under these same conditions. To do so, the LH2 saturation curve for the WT (figure 6) and the relative contribution of LH1/LH2 light absorbance to growth was derived from our empirical and applied to a model that took into account incident light and gave the relative growth in terms of optical density as an output. In this model, our synthetic regulation system of pucB/A allowed our mutant to outperform the wild type species (figure 7). This was due to the performance of the 3rd, 4th, and 5th tissue flask relative to those of the wild type (see figure 7 layers 1,2 vs 1-5). The reason for this is that the wild type LH2 light saturation curve does not vary with changes in incident light intensity as the wild type expresses pucB/A at a uniform level under low oxygen conditions. As a result, the first two layers of Wild Type bioreactors absorb nearly all the available light and starve the bioreactors behind them for photons.

Conversely, our mutant was modeled to have a dynamic expression of pucB/A based on the incident light intensity. This light response curve was modeled as an inverse exponential for the Cph8/OmpR ompC Promoter system and the saturation curve changes for each tissue flask in accordance with the incident light intensity- as light intensity decreases, the expression pucB/A increases. This results in more light passing through the first 2 flasks and facilitating greater growth in flasks 3, 4 and 5 as they express large antenna complexes.




Conclusion and Future Work

Based on model, should have had feedback mechanism- should be something that sets a minimum expression level for LH2, that is...

-tissue flask w prkcbc3 before jamboree and compare/interpret using characterization data
-tissue flask w. full mutant in future- if this doesn't reveal cph8 to responding in an exponentially decaying fashion to light intensity, try w. a system that would -characterize puc promoter under light conditions and additional oxygen tensions -complete other characterization work


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