Difference between revisions of "Team:Newcastle/InterLab"

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                 <h1 class="display-2">Calibration</h1>
 
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                <p> Alternative Roots participated in the 2018 Interlab study. Three calibration steps were carried out prior to any experimental measurements being taken. Absorbance and fluorescence values were measured in 96-well plates using a Thermofisher Varioskan Lux plate reader (Thermofisher Scientific). Absorbance was measured at 600 nm and converted to a comparable OD600. Fluorescence was measured at 525 nm with excitation at 485 nm with a 12 nm bandpass width. All readings took place at 25 °C and pathlength correction was disabled. The calibrations were:</p>
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                    <li> A LUDOX CL-X 45 % colloidal silica suspension was used to calculate a conversion factor for the Abs<sub>600</sub> value measured by the plate reader to a comparable OD<sub>600</sub> value, considering path length and well volume (table 1). Abs<sub>600</sub> of 1:2 dilutions of LUDOX silica suspension were taken in triplicate and a reference OD<sub>600</sub> of 0.063 (the reference value for 100 µL of LUDOX CL-X in a well of a standard 96-well flat-bottom black with clear bottom plate) divided by the mean measured value to give a conversion factor.   
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                 <p><font size="3">Alternative Roots participated in the 2018 InterLab study. Three calibration steps were carried out prior to any experimental measurements being taken. Absorbance and fluorescence values were measured in 96-well plates using a Thermofisher Varioskan Lux plate reader (Thermofisher Scientific). Absorbance was measured at 600 nm and converted to a comparable OD<sub>600</sub>. Fluorescence was measured at 525 nm with excitation at 485 nm with a 12 nm bandpass width. All readings took place at 25 °C and pathlength correction was disabled. The calibrations were:</p>
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<p><font size="3">1. A LUDOX CL-X 45 % colloidal silica suspension was used to calculate a conversion factor for the Abs<sub>600</sub> value measured by the plate reader to a comparable OD<sub>600</sub> value, considering path length and well volume (Table 1). Abs<sub>600</sub> of 1:2 dilutions of LUDOX silica suspension were taken in triplicate and a reference OD<sub>600</sub> of 0.063 (the reference value for 100 µL of LUDOX CL-X in a well of a standard 96-well flat-bottom black with clear bottom plate) divided by the mean measured value to give a conversion factor.  </font></p>
 
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<p><font size="3"><center>Table 1. Optical density readings for LUDOX CL-X 45% colloidal silica suspension and water used to calculate the conversion factor for absorbance readings to OD<sub>600</sub> readings for plate reader measurements.
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<p><font size="2"><center>Table 1. Optical density readings for LUDOX CL-X 45% colloidal silica suspension and water used to calculate the conversion factor for absorbance readings to OD<sub>600</sub> readings for plate reader measurements.
 
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                    <li> A standard curve was prepared by measuring the OD<sub>600</sub> of serial dilutions of monodisperse silica microspheres, with similar light scattering properties to <I>E. coli</I> cells. This was used to standardise OD readings across labs (Figure 1 A). </li>
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<p><font size="3">2. A standard curve was prepared by measuring the OD<sub>600</sub> of serial dilutions of monodisperse silica microspheres, with similar light scattering properties to <i>E. coli</i> cells. This was used to standardise OD readings across labs (Figure 1A). </p>
  
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                    <li> A fluorescence standard curve was created by measuring the fluorescence of serial dilutions of the small molecule fluorescein. This  has similar excitation and emission characteristics to GFP allowing conversion of fluorescence readings to an equivalent fluorescein concentration. Calibrations allowed expression measurement in units of fluorescence per OD and molecules of equivalent fluorescein (MEFL) per cell (Figure 1B). </li>
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<p><font size="3">3. A fluorescence standard curve was created by measuring the fluorescence of serial dilutions of the small molecule fluorescein. This  has similar excitation and emission characteristics to GFP allowing conversion of fluorescence readings to an equivalent fluorescein concentration. Calibrations allowed expression measurement in units of fluorescence per OD and molecules of equivalent fluorescein (MEFL) per cell (Figure 1B). </p>
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<p><font size="3"><center>Figure 1. Curves used to calibrate A; Fluorescein per OD using dilutions of fluorescein and B; molecules of equivalent fluorescein per particle using dilutions of solutions of monodisperse silica microspheres.</font></center></p>
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<p><font size="2"><center>Figure 1. Curves used to calibrate A; Fluorescein per OD using dilutions of fluorescein and B; molecules of equivalent fluorescein per particle using dilutions of solutions of monodisperse silica microspheres.</font></center></p>
  
  
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                 <p>Following these calibration steps, two transformed colonies for each test device and both control plasmids were used to inoculate lysogeny broth (LB) medium containing 25 µg/L of chloramphenicol (CAM) and incubated overnight at 37 °C with shaking at 220 rpm. Overnight cultures were diluted 1:10 and the OD<sub>600</sub> adjusted to 0.02 with LB with CAM to a final volume of 12 mL. Fluorescence and Abs<sub>600</sub> were taken at 0h and 6 hours of incubation at 37 °C with 220 rpm shaking. Test devices, plasmid backbone and protocol workflow are shown in Figure 2. </p>
+
                 <p><font size="3">Following these calibration steps, two transformed colonies for each test device and both control plasmids were used to inoculate lysogeny broth (LB) medium containing 25 µg/L of chloramphenicol (CAM) and incubated overnight at 37 °C with shaking at 220 rpm. Overnight cultures were diluted 1:10 and the OD<sub>600</sub> adjusted to 0.02 with LB with CAM to a final volume of 12 mL. Fluorescence and Abs<sub>600</sub> were taken at 0h and 6 hours of incubation at 37 °C with 220 rpm shaking. Test devices and plasmid backbone are shown in Figure 2.</font></p>
  
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<p><font size="3"><center>Figure 2. A: test devices transform into DH5α for the iGEM interlab study. A negative control device consisting of a tetracycline resistance gene (BBa_R0040) with no associated promoter, RBS or terminator sequences was also transformed into DH5α. B: All test devices were transformed into DH5α using the pSB1C3 plasmid backbone with chloramphenicol for selection. C: Interlab study protocol workflow.</font></center></p>
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<p><font size="2"><center>Figure 2. A) test devices transform into DH5α for the iGEM InterLab study. A negative control device consisting of a tetracycline resistance gene (BBa_R0040) with no associated promoter, RBS or terminator sequences was also transformed into DH5α. B) All test devices were transformed into DH5α using the pSB1C3 plasmid backbone with chloramphenicol for selection (adapted from LabGenius plasmid viewer).</font></center></p>
  
 
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                 <p>Results for OD600 and fluorescence measurements after 6 hours are shown in Figure 3.</p>
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                 <p><font size="3">Results for OD<sub>600</sub> and fluorescence measurements after 6 hours are shown in Figure 3.</font></p>
  
 
<img src="https://static.igem.org/mediawiki/2018/b/be/T--Newcastle--InterlabFigure4.png">
 
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<p><font size="3"><center>Figure 3. OD<sub>600</sub> (A) and fluorescence (B) interlab study results for positive and negative controls and all test devices after 6 hours. Tests were performed in duplicate using two colonies for each test device, results for which are shown separately to account for colony-to-colony variation. </font></center></p>
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<p><font size="2"><center>Figure 3. OD<sub>600</sub> (A) and fluorescence (B) InterLab study results for positive and negative controls and all test devices after 6 hours. Tests were performed in duplicate using two colonies for each test device, results for which are shown separately to account for colony-to-colony variation. </center></font></p>
  
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  <p>Results for both 0 and 6 hours were converted into fluorescence per OD600 and fluorescence per cell using the previously described calibrations (Figure 4). While the InterLab study is an opportunity for crowdsourcing a large amount of data on the inherent variability of a given biological system, it does not account for variations within data sets. Our team attempted to seek out and address such sources of variation, investigating biodesign automation of protocols, use of internal standards and effects of media composition. Further detail and results are available on the <a href="https://2018.igem.org/Team:Newcastle/Measurement">measurements page</a>.</p>
+
  <p><font size="3">Results for both 0 and 6 hours were converted into fluorescence per OD<sub>600</sub> and fluorescence per cell using the previously described calibrations (Figure 4). While the InterLab study is an opportunity for crowdsourcing a large amount of data on the inherent variability of a given biological system, it does not account for variations within data sets. Our team attempted to seek out and address such sources of variation, investigating biodesign automation of protocols, use of internal standards and effects of media composition. Further detail and results are available on the <a href="https://2018.igem.org/Team:Newcastle/Measurement"class="black">measurements page</a>.</font></p>
  
 
<img src="https://static.igem.org/mediawiki/2018/a/a5/T--Newcastle--InterlabFigure3.png">
 
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<p><font size="3"><center>Figure 4. iGEM interlab study results for positive and negative controls and all test devices. Fluorescence was measured at 525 nm and readings were taken at 0 hours and 6 hours in a 96 well plate.  A: Fluorescence per OD<sub>600</sub>, B: Fluorescence per Escherichia coli cell, calibrated to a standard curve of LUDOX silica beads. </font></center></p>
+
<p><font size="2"><center>Figure 4. iGEM InterLab study results for positive and negative controls and all test devices. Fluorescence was measured at 525 nm and readings were taken at 0 hours and 6 hours in a 96 well plate.  A: Fluorescence per OD<sub>600</sub>, B: Fluorescence per <i>Escherichia coli</i> cell, calibrated to a standard curve of LUDOX silica beads. </center></font></p>
  
 
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                 <h1 class="display-2">REFERENCES</h1>
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<p class="about-para"><strong>Attributions: Matthew Burridge, Kyle Stanforth, Sam Went
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<p class="about-para"><font size="2">1. Jousset, A., et al. (2009). "Predators promote defence of rhizosphere bacterial populations by selective feeding on non-toxic cheaters." The Isme Journal 3: 666<font></p>
 
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<p class="about-para"><font size="2">2. Jousset, A., et al. (2009). "Predators promote defence of rhizosphere bacterial populations by selective feeding on non-toxic cheaters." The Isme Journal 3: 666<font></p>
 
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<p class="about-para"><font size="2">3. Vanitha SC & Umesha S (2011) Pseudomonas fluorescens mediated systemic resistance in tomato is driven through an elevated synthesis of defense enzymes. Biologia Plantarum 55(2):317-322.<font></p>
 
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<p class="about-para"><font size="2">4. United Nations, Department of Economic and Social Affairs, Population Division (2017) World Population Prospects: The 2017 Revision, Key Findings and Advance Tables. https://population.un.org/wpp/Publications/Files/WPP2017_KeyFindings.pdf<font></p>
 
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<p class="about-para"><font size="2">5. Food and Agriculture Organization of the United Nations (2015) World Fertilizer Trends and Outlook to 2018. http://www.fao.org/3/a-i4324e.pdf<font></p>
 
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<p class="about-para"><font size="2">6.  Usman MN, MG; Musa, I (2015) Effect of Three Levels of NPK Fertilizer on Growth Parameters and Yield of Maize-Soybean Intercrop. International Journal of Scientific and Research Publications 5(9).<font></p>
 
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<p class="about-para"><font size="2">7. Pfromm PH (2017) Towards sustainable agriculture: Fossil-free ammonia. Journal of Renewable and Sustainable Energy 9(3):034702.<font></p>
 
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<p class="about-para"><font size="2">8. Bitew YA, M (2017) Impact of Crop Production Inputs on Soil Health: A Review. Asian Journal of Plant Sciences 16(3):109-131.<font></p>
 
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<p class="about-para"><font size="2">9. Yang X-e, Wu X, Hao H-l, & He Z-l (2008) Mechanisms and assessment of water eutrophication. Journal of Zhejiang University. Science. B 9(3):197-209.<font></p>
 
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<p class="about-para"><font size="2">10. Carmichael WW (2001) Health Effects of Toxin-Producing Cyanobacteria: “The CyanoHABs”. Human and Ecological Risk Assessment: An International Journal 7(5):1393-1407.<font></p>
 
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<p class="about-para"><font size="2">11. New Partnership for Africa's Development (2013) Agriculture in Africa - Transformation and Outlook. http://www.un.org/en/africa/osaa/pdf/pubs/2013africanagricultures.pdf<font></p>
 
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<p class="about-para"><font size="2">12. Food and Agriculture Organization of the United Nations (2017) World Fertilizer Trends and Outlook to 2020. http://www.fao.org/3/a-i6895e.pdf<font></p>
 
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<p class="about-para"><font size="2">13. Bergey, D. H., et al. (1984). Bergey's manual of systematic bacteriology. Baltimore, MD, Williams & Wilkins.<font></p>
 
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<p class="about-para"><font size="2">14. Gómez-Lama Cabanás C, Schilirò E, Valverde-Corredor A, & Mercado-Blanco J (2014) The biocontrol endophytic bacterium Pseudomonas fluorescens PICF7 induces systemic defense responses in aerial tissues upon colonization of olive roots. Frontiers in Microbiology 5:427.<font></p>
 
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<p class="about-para"><font size="2">15. Gross, H. and J. Loper (2009). Genomics of secondary metabolite production by Pseudomonas spp.<font></p>
 
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<p class="about-para"><font size="2">16. Sharma SB, Sayyed RZ, Trivedi MH, & Gobi TA (2013) Phosphate solubilizing microbes: sustainable approach for managing phosphorus deficiency in agricultural soils. SpringerPlus 2:587.<font></p>
 
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<p class="about-para"><font size="2">17. Ruffner, B., et al. (2013). "Oral insecticidal activity of plant-associated pseudomonads." Environmental Microbiology 15(3): 751-763.<font></p>
 
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<p class="about-para"><font size="2">18. Jousset, A., et al. (2009). "Predators promote defence of rhizosphere bacterial populations by selective feeding on non-toxic cheaters." The Isme Journal 3: 666<font></p>
 
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<p class="about-para"><font size="2">19. Vanitha SC & Umesha S (2011) Pseudomonas fluorescens mediated systemic resistance in tomato is driven through an elevated synthesis of defense enzymes. Biologia Plantarum 55(2):317-322.<font></p>
 
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<p class="about-para"><font size="2">20. Maheshwari DK (2012) Bacteria in Agrobiology: Plant Probiotics (Springer Berlin Heidelberg).<font></p>
 
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<p class="about-para"><font size="2">21. Despommier D (2011) The vertical farm: Controlled environment agriculture carried out in tall buildings would create greater food safety and security for large urban populations. J fur Verbraucherschutz und Leb 6(2):233–236.<font></p>
 
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<p class="about-para"><font size="2">22.World Health Organization. (2018). Q&A: genetically modified food. [online] Available at: http://www.who.int/foodsafety/areas_work/food-technology/faq-genetically-modified-food/en/ [Accessed 13 Sep. 2018].<font></p>
 
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Latest revision as of 02:04, 18 October 2018

Alternative Roots

InterLab Study

Calibrations Protocol Results

Calibration

Alternative Roots participated in the 2018 InterLab study. Three calibration steps were carried out prior to any experimental measurements being taken. Absorbance and fluorescence values were measured in 96-well plates using a Thermofisher Varioskan Lux plate reader (Thermofisher Scientific). Absorbance was measured at 600 nm and converted to a comparable OD600. Fluorescence was measured at 525 nm with excitation at 485 nm with a 12 nm bandpass width. All readings took place at 25 °C and pathlength correction was disabled. The calibrations were:

1. A LUDOX CL-X 45 % colloidal silica suspension was used to calculate a conversion factor for the Abs600 value measured by the plate reader to a comparable OD600 value, considering path length and well volume (Table 1). Abs600 of 1:2 dilutions of LUDOX silica suspension were taken in triplicate and a reference OD600 of 0.063 (the reference value for 100 µL of LUDOX CL-X in a well of a standard 96-well flat-bottom black with clear bottom plate) divided by the mean measured value to give a conversion factor.

Table 1. Optical density readings for LUDOX CL-X 45% colloidal silica suspension and water used to calculate the conversion factor for absorbance readings to OD600 readings for plate reader measurements.



2. A standard curve was prepared by measuring the OD600 of serial dilutions of monodisperse silica microspheres, with similar light scattering properties to E. coli cells. This was used to standardise OD readings across labs (Figure 1A).

3. A fluorescence standard curve was created by measuring the fluorescence of serial dilutions of the small molecule fluorescein. This has similar excitation and emission characteristics to GFP allowing conversion of fluorescence readings to an equivalent fluorescein concentration. Calibrations allowed expression measurement in units of fluorescence per OD and molecules of equivalent fluorescein (MEFL) per cell (Figure 1B).



Figure 1. Curves used to calibrate A; Fluorescein per OD using dilutions of fluorescein and B; molecules of equivalent fluorescein per particle using dilutions of solutions of monodisperse silica microspheres.

Protocol

Following these calibration steps, two transformed colonies for each test device and both control plasmids were used to inoculate lysogeny broth (LB) medium containing 25 µg/L of chloramphenicol (CAM) and incubated overnight at 37 °C with shaking at 220 rpm. Overnight cultures were diluted 1:10 and the OD600 adjusted to 0.02 with LB with CAM to a final volume of 12 mL. Fluorescence and Abs600 were taken at 0h and 6 hours of incubation at 37 °C with 220 rpm shaking. Test devices and plasmid backbone are shown in Figure 2.

Figure 2. A) test devices transform into DH5α for the iGEM InterLab study. A negative control device consisting of a tetracycline resistance gene (BBa_R0040) with no associated promoter, RBS or terminator sequences was also transformed into DH5α. B) All test devices were transformed into DH5α using the pSB1C3 plasmid backbone with chloramphenicol for selection (adapted from LabGenius plasmid viewer).

Results

Results for OD600 and fluorescence measurements after 6 hours are shown in Figure 3.

Figure 3. OD600 (A) and fluorescence (B) InterLab study results for positive and negative controls and all test devices after 6 hours. Tests were performed in duplicate using two colonies for each test device, results for which are shown separately to account for colony-to-colony variation.

Results for both 0 and 6 hours were converted into fluorescence per OD600 and fluorescence per cell using the previously described calibrations (Figure 4). While the InterLab study is an opportunity for crowdsourcing a large amount of data on the inherent variability of a given biological system, it does not account for variations within data sets. Our team attempted to seek out and address such sources of variation, investigating biodesign automation of protocols, use of internal standards and effects of media composition. Further detail and results are available on the measurements page.

Figure 4. iGEM InterLab study results for positive and negative controls and all test devices. Fluorescence was measured at 525 nm and readings were taken at 0 hours and 6 hours in a 96 well plate. A: Fluorescence per OD600, B: Fluorescence per Escherichia coli cell, calibrated to a standard curve of LUDOX silica beads.





References & Attributions

Attributions: Matthew Burridge, Kyle Stanforth, Sam Went