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Developing interest in multi-omics manipulation, including mechanism and metabolic studies of bacteria, emphasizes the importance of high-throughput and automated methods such as recording growth data1,2. Growth data comprising kinetic parameters, such as maximum growth rates, can help characterize bacterial responses to different physical, chemical, and antibacterial conditions. Growth rate data are a standard response variable utilized to uncover potential genotype-phenotypes linkages1 or indicate the microbial safety and shelf life of food produce3,4. Techniques such as adaptive laboratory evolution5,6,7, genome-wide screening, certain chemical assays8, and various forward genetic screens9 rely on growth rates to evaluate the results.
Optical density (OD) measurements of bacterial cultures are a standard microbiological method to monitor bacterial growth. OD measurements are often recorded at a wavelength of 600 nm, relying on light scattering and the cell density10,11. The Beer-Lambert law explains the OD values' dependency on the concentration (i.e., cell density, cell number), path length, and absorptivity coefficient. The geometry and optical system of a spectrophotometer influence the OD readings11. Classical methods of OD measurements can be very time- and labor-intensive, and the data can carry a variety of human errors. In this protocol, a microplate reader is used to decrease the analyst time12,13 and the chance of biological contamination. High-throughput analysis using microplate readers is broadly applied in different microbiology areas, such as screening biofilm-producing bacteria14,15, bacterial growth inhibition16, yeast cell growth17, the determination of antifungal susceptibility18, and toxicity screening of nanomaterials19.
A few researchers have published bacterial growth rate protocols using a microplate reader12,20,21. However, a thorough protocol that examines the reliability of collected data has not been fully established. It is reported that factors such as the type of species22,23,24 and sealing tapes impact the repeatability due to the oxygen transfer inadequacy in a 96-well plate25,26. Delaney et al. reported large clusters of Methylorubrum extorquens (wild-type strain) in the growth medium when using a microplate reader, which caused extremely noisy growth data24. The issue was resolved by removing the genes associated with biofilm production24. Due to the secretion of extracellular polymeric substances, biofilm-producing bacteria have a greater affinity to coalesce together and create cell clusters. Therefore, it is more challenging to monitor their growth using light scattering techniques (e.g., spectrophotometers and microplate readers).
This protocol aims to establish steps to obtain reproducible data in a high-throughput method using a microplate reader. Bacillus mycoides and Paenibacillus tundrae were used due to their fast growth and biofilm-producing ability, which are traditionally challenging in manual and automated approaches. Factors such as (i) pathlength correction, (ii) condensation on the lid, (iii) inoculum size, (iv) sampling time interval, and (v) spatial bias were investigated to assess the reliability and reproducibility of the data. This protocol presents steps for accurately monitoring bacterial growth and measuring specific growth rates using a microplate reader.