MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
Bartleby Related Questions Icon

Related questions

Question

For each graph:
a) Describe the graph:
b) Describe the data:
c) Interpret the data. Since there are no statistics included can you say whether
the difference is significant? What type of statists would be helpful for analyzing
the data in the figures?

### Transcription for Educational Website

**Title:** Conversion of Taxadiene to Taxol Precursor by E. coli Strains

#### Graph Description:

The graph displays the conversion of taxadiene (mg/mL) by different E. coli strains (17, 26, and 22). The y-axis represents the conversion of taxadiene in milligrams per milliliter, ranging from 0 to 25 mg/mL. The x-axis shows three E. coli strains: strain 17, strain 26, and strain 22. Each strain has a corresponding bar indicating the level of taxadiene conversion. Strain 26 shows the highest conversion rate, whereas strain 22 shows the lowest.

#### Figure 2:

New E. coli strains, including strains 22, 17, and 26, were engineered to convert taxadiene into a downstream precursor for Taxol. Strains were grown in a 1-L bioreactor for 24 hours, after which the concentration of the downstream product was measured. The data presented shows the mean measurements for two replicate bioreactors, including the standard error.

#### Questions:

1. **For the Graph:**

   a) **Describe the Graph:**
   
   The bar graph illustrates the performance of three engineered E. coli strains in converting taxadiene into a precursor for Taxol. The height of each bar represents the mean conversion rate, with error bars indicating the standard error for two replicates.

   b) **Describe the Data:**
   
   The data shows varying conversion efficiencies among the strains. Strain 26 had the highest conversion capability, reaching nearly 25 mg/mL, while strain 17 achieved approximately 10 mg/mL, and strain 22 had the lowest conversion under 5 mg/mL.

   c) **Interpret the Data:**

   The graph suggests that strain 26 is the most efficient in converting taxadiene to the desired precursor, indicating potential for further development in producing Taxol. The differences in conversion rates may be due to genetic or metabolic differences among the strains. The standard error bars suggest reasonable experimental consistency.
expand button
Transcribed Image Text:### Transcription for Educational Website **Title:** Conversion of Taxadiene to Taxol Precursor by E. coli Strains #### Graph Description: The graph displays the conversion of taxadiene (mg/mL) by different E. coli strains (17, 26, and 22). The y-axis represents the conversion of taxadiene in milligrams per milliliter, ranging from 0 to 25 mg/mL. The x-axis shows three E. coli strains: strain 17, strain 26, and strain 22. Each strain has a corresponding bar indicating the level of taxadiene conversion. Strain 26 shows the highest conversion rate, whereas strain 22 shows the lowest. #### Figure 2: New E. coli strains, including strains 22, 17, and 26, were engineered to convert taxadiene into a downstream precursor for Taxol. Strains were grown in a 1-L bioreactor for 24 hours, after which the concentration of the downstream product was measured. The data presented shows the mean measurements for two replicate bioreactors, including the standard error. #### Questions: 1. **For the Graph:** a) **Describe the Graph:** The bar graph illustrates the performance of three engineered E. coli strains in converting taxadiene into a precursor for Taxol. The height of each bar represents the mean conversion rate, with error bars indicating the standard error for two replicates. b) **Describe the Data:** The data shows varying conversion efficiencies among the strains. Strain 26 had the highest conversion capability, reaching nearly 25 mg/mL, while strain 17 achieved approximately 10 mg/mL, and strain 22 had the lowest conversion under 5 mg/mL. c) **Interpret the Data:** The graph suggests that strain 26 is the most efficient in converting taxadiene to the desired precursor, indicating potential for further development in producing Taxol. The differences in conversion rates may be due to genetic or metabolic differences among the strains. The standard error bars suggest reasonable experimental consistency.
Expert Solution
Check Mark
Knowledge Booster
Background pattern image
Similar questions
SEE MORE QUESTIONS
Recommended textbooks for you
Text book image
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Text book image
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Text book image
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Text book image
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
Text book image
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Text book image
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman