Study of the influence of medium composition on motility and aggregation of recombinant Escherichia coli strain AAEC191A/pCC90 D54-STOP-LB, LB+0.2% glucose, LB+0.5% glucose - Open Research Data - Bridge of Knowledge

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Study of the influence of medium composition on motility and aggregation of recombinant Escherichia coli strain AAEC191A/pCC90 D54-STOP-LB, LB+0.2% glucose, LB+0.5% glucose

Description

Microbial motility is a fundamental aspect of many microbial life cycles and is a key survival mechanism that enables microorganisms to navigate diverse and dynamic environmental conditions. This phenomenon becomes particularly important in response to changes in stimuli in time and space. The following experiment aimed to investigate how the composition of the growth medium affects the movement and formation of aggregates of recombinant Escherichia coli strains.

This study focused on several recombinant strains: BL21(DE3)/pCC90, BL21(DE3)/pACYCpBAD, BL21(DE3)/pCC90 Dra D-mut, BL21(DE3)/pCC90 D54-STOP, AAEC191A/pCC90, AAEC191A /pACYCpBAD, AAEC191A/pCC90 Dra D-mut and AAEC191A/pCC90 D54-STOP. The experimental setup involved transferring a small portion of overnight cultures of these recombinant strains to various media compositions. These media include PBS, PBS + 0.2% glucose, PBS + 0.5% glucose, LB, LB + 0.2% glucose, LB + 0.5% glucose, M9 + 0.5% cassaminic acids, M9 + 0.5% cassaminic acids + 0.2% glucose and M9 + 0.5% cassaminic acids + 0.5% glucose.

The catalog contains original video data that can be played using Olympus' CellSense software. The videos contain full layers of data characterizing the image recording process.

 

Dataset file

AAEC191A pCC90 D54-STOP-LB, LB+0,2% Glucose, LB+0,5% Glucose.zip
13.4 GB, S3 ETag 59ad17b9a2fa541f61afb4f97696be68-27, downloads: 49
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download file AAEC191A pCC90 D54-STOP-LB, LB+0,2% Glucose, LB+0,5% Glucose.zip

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution
File embargo:
2024-06-30

Details

Year of publication:
2023
Verification date:
2024-01-03
Creation date:
2023
Dataset language:
English
Fields of science:
  • biological sciences (Natural sciences)
  • chemical sciences (Natural sciences)
DOI:
DOI ID 10.34808/eya8-0w63 open in new tab
Funding:
Series:
Verified by:
Gdańsk University of Technology

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