Skip to content

Analyse the proliferation of bacteria by plating them on (selective) agarose plates in dilution serieses

Notifications You must be signed in to change notification settings

melanorian/Analysis_bacterial_proliferation_by_CFU_counts

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Bacterial proliferation in (spinach) leaf material

We estimate the proliferation of bacteria (Pseudomonas) in spinach leaf material by extracting bacteria from leaf discs.

Input: TEMPLATE_FILE_CFU_count_calculations.xlsx

Explanation:

  • All CFU count scripts use this file as an input
  • In this excel sheet we collect all the data of an experiment. E.g. strain, strain code, etc.
  • We do some simple calculations in this sheet to calculat based on the CFU counts. Find further explanations in the "/melanorian/Lab_Protocols_MelanieMendel"

script CFU_count_calculations_DC3000_library_boxplot.R

Input:

TEMPLATE_FILE_CFU_count_calculations.xlsx type file (CFU_count_calculations_DC3000_library.xlsx)

Analysis steps:

  • log10 transromation of CFU counts
  • normalisation of CFU counts based on negative control D36E
  • scaling of results based on the positive control DC3000
  • statistical analysis after transromation/normalisation/scaling steps using ANOVA + TUKEY
  • satistical analysis alternative Dunnet's test per batch using D36E as reference sample
  • Outlier removal based on 1.5 x IQR rule

Output:

  • Plotting of results at all stages in a boxplot + scatter
  • Plotting possible with/without statistics
  • Summary .txt file
  • possibility to export data after each step
  • possiblity to export results as input for plotting in a summary heat map

script CFU_count_calculations_grouped_boxplots_tt.R

Input:

TEMPLATE_FILE_CFU_count_calculations.xlsx type file (CFU_count_calculations_Pseudomonas_strains.xlsx)

Analysis steps:

  • log10 transromation of CFU counts
  • no further normalisation
  • Statistical analysis using a two sided t-test comparing x dpi and y dpi

Output:

  • Plotting of results as a grouped boxplot + scatter
  • each boxplot showes the results for one bacterial strain
  • each boxplot showes the results for 3 different ODs (0.2, 0.4, 0.6)
  • each boxplot showes the results for x dpi and y dpi (can be defined, here 0 dpi vs 2 dpi
  • boxplots are grouped by dpi
  • Statistical results are safed in PreDate_tt_summary_CUF_Pst_strains.txt

About

Analyse the proliferation of bacteria by plating them on (selective) agarose plates in dilution serieses

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages