This protocol describes how to use the Microbial Microdroplet Culture system (MMC) to conduct automated microbial cultivation and adaptive evolution. MMC can cultivate and sub-cultivate microorganisms automatically and continuously and monitor online their growth with relatively high throughput and good parallelization, reducing labor and reagent consumption.
Conventional microbial cultivation methods usually have cumbersome operations, low throughput, low efficiency, and large consumption of labor and reagents. Moreover, microplate-based high-throughput cultivation methods developed in recent years have poor microbial growth status and experiment parallelization because of their low dissolved oxygen, poor mixture, and severe evaporation and thermal effect. Due to many advantages of micro-droplets, such as small volume, high throughput, and strong controllability, the droplet-based microfluidic technology can overcome these problems, which has been used in many kinds of research of high-throughput microbial cultivation, screening, and evolution. However, most prior studies remain at the stage of laboratory construction and application. Some key issues, such as high operational requirements, high construction difficulty, and lack of automated integration technology, restrict the wide application of droplet microfluidic technology in microbial research. Here, an automated Microbial Microdroplet Culture system (MMC) was successfully developed based on droplet microfluidic technology, achieving the integration of functions such as inoculation, cultivation, online monitoring, sub-cultivation, sorting, and sampling required by the process of microbial droplet cultivation. In this protocol, wild-type Escherichia coli (E. coli) MG1655 and a methanol-essential E. coli strain (MeSV2.2) were taken as examples to introduce how to use the MMC to conduct automated and relatively high-throughput microbial cultivation and adaptive evolution in detail. This method is easy to operate, consumes less labor and reagents, and has high experimental throughput and good data parallelity, which has great advantages compared with conventional cultivation methods. It provides a low-cost, operation-friendly, and result-reliable experimental platform for scientific researchers to conduct related microbial research.
Microbial cultivation is an important foundation for microbiological scientific research and industrial applications, which is widely used in the isolation, identification, reconstruction, screening, and evolution of microorganisms1,2,3. Conventional microbial cultivation methods mainly use test tubes, shake flasks, and solid plates as cultivation containers, combined with shaking incubators, spectrophotometers, microplate readers, and other equipment for microbial cultivation, detection, and screening. However, these methods have many problems, such as cumbersome operations, low throughput, low efficiency, and large consumption of labor and reagents. The high-throughput cultivation methods developed in recent years are mainly based on the microplate. But the microplate has a low level of dissolved oxygen, poor mixing property, and severe evaporation and thermal effect, which often lead to poor growth status and experiment parallelization of microorganisms4,5,6,7; on the other hand, it needs to be equipped with expensive equipment, such as liquid-handling workstations and microplate readers, to achieve automated cultivation and process detection8,9.
As an important branch of microfluidic technology, droplet microfluidics has been developed in recent years based on traditional continuous-flow microfluidic systems. It is a discrete flow microfluidic technology that uses two immiscible liquid phases (usually oil-water) to generate dispersed micro-droplets and operate on them10. Because micro-droplets have the characteristics of small volume, large specific surface area, high internal mass transfer rate, and no cross-contamination caused by compartmentalization, and the advantages of strong controllability and high throughput of droplets, there have been many kinds of research applying droplet microfluidic technology in high-throughput cultivation, screening, and evolution of microorganisms11. However, there are still a series of key issues to make droplet microfluidic technology popularized and widely applied. Firstly, the operation of droplet microfluidics is cumbersome and intricate, resulting in high technical requirements for operators. Secondly, droplet microfluidic technology combines optical, mechanical, and electrical components and needs to be associated with biotechnology application scenarios. It is difficult for a single laboratory or team to build efficient droplet microfluidic control systems if there is no multi-disciplinary collaboration. Thirdly, on account of the small volume of micro-droplet (from picoliter (pL) to microliter (μL)), it takes much difficulty to realize the precise automated control and real-time online detection of droplets for some basic microbial operations such as sub-cultivation, sorting, and sampling, and it is also difficult to construct an integrated equipment system12.
In order to address the above problems, an automatic Microbial Microdroplet Culture system (MMC) was successfully developed based on droplet microfluidic technology13. The MMC consists of four functional modules: a droplet recognition module, a droplet spectrum detection module, a microfluidic chip module, and a sampling module. Through the system integration and control of all the modules, automated operation system including the generation, cultivation, measurement (optical density (OD) and fluorescence), splitting, fusion, sorting of droplets is accurately established, achieving the integration of functions such as inoculation, cultivation, monitoring, sub-cultivation, sorting and sampling required by the process of microbial droplet cultivation. MMC can hold up to 200 replicate droplet cultivation units of 2-3 µL volume, which is equivalent to 200 shake flask cultivation units. The micro-droplet cultivation system can satisfy the requirements of non-contamination, dissolved oxygen, mixing, and mass-energy exchange during the growth of microorganisms, and meet the various needs of microbial research through multiple integrated functions, for instance, growth curve measurement, adaptive evolution, single factor multi-level analysis, and metabolite research and analysis (based on fluorescence detection)13,14.
Here, the protocol introduces how to use the MMC to conduct automated and microbial cultivation and adaptive evolution in detail (Figure 1). We took wild-type Escherichia coli (E. coli) MG1655 as an example to demonstrate the growth curve measurement and a methanol-essential E. coli strain MeSV2.215 to demonstrate the adaptive evolution in MMC. An operation software for MMC was developed, which makes the operation very simple and clear. In the whole process, the user needs to prepare the initial bacteria solution, set the conditions of the MMC, and then inject the bacteria solution and related reagents into the MMC. Subsequently, the MMC will automatically perform operations such as droplet generation, recognition and numbering, cultivation, and adaptive evolution. It also will perform online detection (OD and fluorescence) of the droplets with high time resolution and display the related data (which can be exported) in the software. The operator can stop the cultivation process at any time according to the results and extract the target droplets for subsequent experiments. The MMC is easy to operate, consumes less labor and reagents, and has relatively high experimental throughput and good data parallelity, which has significant advantages compared with conventional cultivation methods. It provides a low-cost, operation-friendly, and robust experimental platform for researchers to conduct related microbial research.
1. Instrument and software installation
2. Preparations
3. Growth curve measurement in MMC
4. Adaptive evolution in MMC
5. Clean of the MMC
This protocol uses E. coli MG1655 and a MeSV2.2 strain as examples to demonstrate the microbial cultivation and methanol-essential adaptive evolution with an automated and relatively high-throughputstrategy in MMC. The growth curve measurement was mainly used to characterize microbial cultivation. The adaptive evolution was conducted by automated continuous sub-cultivation and adding a high concentration of methanol as the selective pressure during each sub-cultivation. Whether adaptive evolution had been realized was estimated through the variation trend of the maximum OD value of the droplets during each sub-cultivation period. The tunable parameters and accuracy parameters of MMC are shown in Table 2.
Results of growth curve measurement
The OD600 values of the 15 droplets detected during the cultivation process were exported from the MMC after cultivating for about 20 h (Figure 5A). It can be observed that the detection was conducted approximately every 14 min. This detection period depends on the number of droplets generated because the droplets are cycled back and forth in the tubes for cultivation, and the detection module only detects the OD values (the detection and calculation of OD value are shown in Supplementary Figure 1) when the droplets pass the optical fiber probe. Therefore, the 14 min is a very short detection period, providing a high time resolution detection process to reflect the growth of microorganisms more accurately.
According to the exported data, the average OD600 values and standard deviation (SD) of 15 droplets at each time point were calculated, and the growth curve of E. coli MG1655 was plotted (Figure 5B). The results show that the growth curve presents an "S" shape, including lag phase, logarithmic phase, and stationary phase, which is very consistent with the classic microbial growth model. At the same time, the standard deviations of 15 droplets are very small, indicating good growth consistency and parallelity. Thus, it fully demonstrates the good microbial cultivation and detection performance of MMC. Moreover, it was also verified that there is little crosstalk between droplets during cultivation (Supplementary Figure 2 and Supplementary Table 1).
Results of adaptive evolution
We have performed a long-term adaptive evolution of MeSV2.2 in MMC. On the 18th day, according to the increasing trend of the maximum OD600 values of the droplets during each sub-cultivation period from the growth curves displayed on the software interface, we believed that a good adaptive evolution was achieved in the 50 droplets. The OD600 data was exported and 8 droplets (including droplet 6) with relatively good growth performance were extracted13. Figure 6A shows the growth curves of 50 droplets in the whole adaptive evolution process. In 18 days, MMC has automatically carried out 13 sub-cultivation operations. It can be seen from Figure 6A that MeSV2.2 grows slowly first and fast afterward, which indicates the track of adaptive evolution in MeSV2.2. To supply a selection pressure, the methanol was added to the MeSV2.2 medium. Initially, methanol inhibited cell growth. After the adaptive evolution, the enriched cells adapted to methanol had a higher growth rate. The growth curve of droplet 6 in the whole adaptive evolution process was plotted separately (Figure 6B). The maximum OD600 values in the first generation and last sub-cultivation period were 0.37 and 0.58, respectively, increased by 56.8%. It indicates that the strain in droplet 6 has realized an obvious adaptive evolution.
Subsequently, droplet 6 strain and the initial strain in shake flasks were cultivated, and their growth curves were compared (Figure 6C). According to the methods given in the literature17,18, the maximum specific growth rates (µmax) of the droplet 6 strain and the initial strain were calculated, which were 0.096 h-1 and 0.072 h-1, respectively. Figure 6C reveals that the droplet 6 strain exhibited a higher maximum specific growth rate (increasing by 54.8%) and had a higher cell concentration in the stationary phase (increasing by 20.0%) than the initial strain when cultivated in shake flasks, which further suggested that the adaptive evolution in MeSV2.2 has been realized.
Figure 1: Overall workflow of growth curve measurement and adaptive evolution in MMC. (A) Growth curve measurement in MMC. Firstly, cultivate the strain in shake flask to prepare the initial bacterial solution. Then, inject the initial bacteria solution into the reagent bottle. Next, generate the droplets in MMC. MMC makes the droplets cycle back and forth in the microfluidic chip and tubes to cultivate them. When droplets pass the detection site, the OD data will be detected and recorded. Finally, export the data for analysis. (B) Adaptive evolution in MMC. Pick a single colony from the agarose plate and cultivate it in a shake flask to prepare the initial bacterial solution. After injecting the initial bacteria solution into the reagent bottle, conduct the adaptive evolution in MMC. Adaptive evolution involves continuous sub-cultivation, which can be automatically operated through droplet splitting and fusion. After the adaptive evolution, export the data for analysis. Target droplets can be extracted and then spread on the plate to obtain single colonies. Please click here to view a larger version of this figure.
Figure 2: Structure and essential tools of MMC. (A) External and operation chamber of MMC. (B) The microfluidic chip of MMC. The chip has seven channels (C1-C6 and CF). (C) Reagent bottle. It has a top tube and a side tube. Before injecting the sample into the reagent bottle, it needs to connect a syringe needle to a quick connector A first and then connect the quick connector A to the side tube. (D) Installation of the microfluidic chip. The microfluidic chip is installed on the pedestal. Then the seven channels (C1-C6 and CF) are respectively connected to the corresponding ports of MMC (O1-O6, and OF).
1 – Operation chamber of MMC.
2 – Oil bottle containing the MMC oil.
3 – Waste bottle for collecting waste liquid.
4 – UV lamp (wavelength 254 nm) for sterilization. This lamp can be turned on in advance to sterilize the chip and tubes.
5 – Laser (620 nm) for droplet recognition. The point where the laser is irradiated on the chip is the droplet recognition site.
6 – Temperature probe to measure the temperature inside the operation chamber.
7 – Heater for the operation chamber. It can be used to maintain the temperature of microbial cultivation. The range of temperature that can be set is 25 ± 0.5 °C to 40 ± 0.5 °C.
8 – Optical fiber probe to measure the OD or fluorescence of droplets.
9 – Chip pedestal to install the Microfluidic chip.
10 – Metal bath to fix the reagent bottles and heat them to quickly raise the temperature of a reagent to the temperature of microbial cultivation.
11 – Ports for the microfluidic chip (O1-O6, and OF). The microfluidic chip is connected to the MMC through these ports.
12 – Tubes for droplet storage and cultivation.
13 – Magnet blocks to quickly locate the microfluidic chip during installation.
14 – Syringe needle to inject the samples into the reagent bottles. Its inner diameter is 0.41 mm, and its outer diameter is 0.71 mm.
15 – Quick connector A. Connect with quick connector B.
16 – Quick connector B. Please click here to view a larger version of this figure.
Figure 3: Operationsoftware interface of MMC. (A) The main interface of the software. (1) Temperature in the operation chamber. (2) Photoelectric signal value of droplet recognition. When the droplet passes, the signal value is high (>2 V). When the oil passes, the signal value is low (<1 V). (3) Function selection. There are four functions to choose from: growth curve measurement (Growth Curve), adaptive laboratory evolution (ALE), single factor multi-level analysis (One-factor) and customizing the operations according to experimental needs (Customization). (4) Parameter setting interface. Set the corresponding experimental parameters here after choosing one function. (5) Command run area. (6) Switch of camera. The camera is installed directly above the chip, which can be used to online observe the droplets in the chip. (7) Process display area. Shows the running time, monitoring data, and the operation being executed. (B) The parameter setting interface of adaptive evolution. (C) The droplet screening interface. The MMC can automatically number the droplets. Here the target droplets can be selected and extracted from the MMC. (D) Camera observation interface. Please click here to view a larger version of this figure.
Figure 4: Sample injection, droplet generation, and droplet extraction. (A) The reagent bottle after the injection of bacteria solution and MMC oil. Both the bacteria solution and MMC oil are injected from the side tube. The oil phase is in the upper layer and the bacteria solution is in the lower layer. After the injection, connect the quick connector A and B, and then install it into the MMC. (B) Droplet generation in the microfluidic chip. To enhance the visibility of droplets, a red pigment solution was used to demonstrate the process of droplet generation. (C) Droplet stored in the tube observed by microscope. Scale bar: 400 µm. (D) Pop-up window prompts and the corresponding operations. When the prompt "Please pull out the CF quick connector and put it into the EP tube" appears, pull out the CF connector and put it into the EP tube to collect the target droplet; when the prompt " Please insert the connector back" appears, the droplet collection is complete, insert the CF connector back into the OF port. Please click here to view a larger version of this figure.
Figure 5: Data export and figure plotting of growth curve. (A) Screenshot of part of the exported data. The exported data include each detection time point of the 15 generated droplets and the corresponding OD600 values. (B) Growth curve of E. coli MG1655 plotted based on the exported data. Calculate the average OD600 values and standard deviation (SD) of 15 droplets at each time point and plot the growth curve. It is clear to see that this growth curve includes the lag phase, logarithmic phase, and stationary phase. Please click here to view a larger version of this figure.
Figure 6: Results of the adaptive evolution of MeSV2.2 in MMC. (A) Growth curves of 50 droplets in the whole adaptive evolution process. The OD600 detection data of 50 droplets during the 18-day adaptive evolution process were exported from the MMC and plotted. On the 18th day, 8 droplets, including droplet 6 were extracted. (B) Growth curve of the droplet 6 in the whole adaptive evolution process. The maximum OD600 values in the first generation and last sub-cultivation period were 0.37 and 0.58, respectively, increased by 56.8%. (C) Comparison of droplet 6 strain and the initial strain in the shake flask. The strain of droplet 6 and the initial strain were cultivated in shake flasks, and the growth curves (including SD, n = 3) were measured. This figure has been modified from Jian X. J. et al.13. Please click here to view a larger version of this figure.
Components | Concentration |
Na2HPO4·12H2O | 6.78 g/L |
KH2PO4 | 3 g/L |
NaCl | 0.5 g/L |
NH4Cl | 1 g/L |
vitamin B1 (sterilized by filtration) | 0.34 g/L |
MgSO4·7H2O | 0.049 g/L |
CaCl2·2H2O | 1.5 mg/L |
Microelements: | |
FeCl3·6H2O | 0.5 mg/L |
ZnSO4·7H2O | 0.09 mg/L |
CuSO4·5H2O | 0.088 mg/L |
MnCl2 | 0.045 mg/L |
CoCl2·6H2O | 0.09 mg/L |
gluconate | 1.09 g/L |
methanol | 500 mmol/L |
isopropyl-β-d-thiogalactopyranoside | 0.1 mmol/L |
streptomycin sulfate | 20 μg/mL |
kanamycin sulfate | 50 μg/mL |
Add extra 15 g/L agarose to prepare solid medium. |
Table 1: Components of the special medium for MeSV2.2.
Tunable parameters | |
Parameter | Range |
Temperature of cultivation | 25–40 °C ± 0.5 °C |
Number of droplets | 0–200 |
Concentration of inoculum | 13.3–86.7 % |
Concentration of chemical factor | 8 different concentrations, up to the maximum concentration of stored chemical factor |
The time of sub-cultivation | Up to the user |
The number of sub-cultivations | Up to the user |
Wavelength of OD detection | 350–800 nm |
Wavelength of fluorescence detection | Excitation: 470, 528 nm Emission: 350–800 nm |
Accuracy parameters | |
Parameter | C.V |
Volume of droplets | 1.88% |
Concentration of inoculum | <5.0% |
Table 2: Tunable parameters and accuracy parameters of MMC. Tunable parameters refer to the parameters that can be adjusted according to the specific requirements of users; accuracy parameters refer to the parameters that reflect the accuracy and reproducibility of the different fluidic operations.
Supplementary Figure 1: Recognition and detection of droplets in MMC. (A) The waveform of a droplet in MMC. This waveform comes from the raw spectral data of the MMC spectrometer. After processing the raw spectral data in the background, MMC will give the measured OD value. (B) OD calculation of droplets in MMC. In the waveform of the droplet, 'a' represents the maximum length of the droplet, 'c' represents the arc-shaped interface formed by oil phase and water phase, and 'b' represents the main part of the droplet. Based on the Lambert-Beer law, the OD value of the droplet is calculated using the following formula: OD value = lg(E/D) × 10. ‘E’ refers to the average spectral signal value of oil phase; ‘D’ refers to the average spectral signal value of the main part b of the droplet. It should be noted that the OD value measured by MMC is different from that measured by a spectrophotometer. Please click here to download this File.
Supplementary Figure 2: Test of crosstalk between the droplets. To verify whether there is crosstalk between the droplets during the long-term cultivation, the E. coli MG1655 solution was diluted to a very low concentration (according to Poisson distribution, λ = 0.1), and then 200 droplets were generated and cultivated for 5 days. After measuring the OD, it was found that the E. coli MG1655 grew in a small number of droplets. And there was almost no bacterial growth in the droplets around these droplets. The result also preliminarily shows that there is little crosstalk between droplets. Please click here to download this File.
Supplementary Table 1: Stability of droplet generation in MMC. As shown in Supplementary Figure 1, the droplet has a fixed waveform. The spectrometer of MMC generates a certain number of data points per second, so the number of data points of the droplet waveform can reflect the size of the droplet. The red dye solution was used to generate 397 droplets in the MMC, and the OD value was measured. The raw spectral data was exported, the data points of each droplet waveform were counted, and the coefficient of variation (C.V) of the droplet data points was calculated. Please click here to download this Table.
Supplementary Table 2: Droplet evaporation in MMC. Here the red dye solution was used to generate droplets in the MMC and the droplets were stored in the cultivation tube. The tube was then placed in a 37 °C constant temperature incubator for 30 days, and the droplet length was regularly measured (take photos under a microscope and measure the length with a scale bar). It shows that the volume of the droplet was reduced by about 12.3% after 30 days, which indicates that the evaporation of the droplet is very small in MMC. Please click here to download this Table.
This protocol presents how to use the Microbial Microdroplet Culture system (MMC) to perform automated microbial cultivation and long-term adaptive evolution. MMC is a miniaturized, automated, and high-throughput microbial cultivation system. Compared with conventional microbial high-throughput cultivation methods and instruments, MMC has many advantages such as low labor and reagent consumption, simple operation, online detection (OD and fluorescence), high-time-resolution data collection, and superior parallelization. MMC also has some special advantages different from the conventional droplet microfluidic technology, which usually uses the pL and nL droplets. Most previously reported systems that used pL and nL droplets have poor cultivation performance and few detectable parameters (usually only fluorescence)18,19,20,21. Although there have been some platforms that can achieve better cultivation performance and multiple parameter detection, it is difficult and requires a lot of effort. For example, some researchers reported the OD detection of pL droplets. It is based on image recognition, which has not only false positives but also needs further verification of accuracy22. However, MMC can accomplish these in a relatively simple manner. MMC uses microliter (µL) droplets that are rarely reported. The superior microbial cultivation performance of MMC has been verified, and it can also directly detect OD and fluorescence. Due to the large volume of the µL droplets, the droplet generation is less susceptible to interference, which has higher stability. Meanwhile, more diverse operations can be performed in the microliter droplets, conducive to the realization of automated operations. Furthermore, because the droplets are enclosure spaces, the volatility of the contents can be suppressed (Supplementary Table 2), conducive to performing the long-term microbial cultivation and adaptive evolution when volatile substances exist in the medium14. This is difficult to achieve in shake flasks and microplates.
However, certain critical points in the protocol are worth emphasizing. Firstly, it should be noted that the OD value measured by MMC is different from that of a spectrophotometer because their optical path lengths of OD measurement are different (1 mm and 10 mm, respectively). Therefore, when comparing the OD value of MMC with that of shake flask, it is necessary to measure the calibration curve13. Fortunately, the adaptive evolution process does not require calibration curves because we focus on the relative trends among the growth curves. Next, certain microorganisms are uncultivated in MMC. The droplets rely on the surface tension of the oil-water interface to maintain stability23. If the microorganisms produce certain substances that disrupt the surface tension of the oil-water interface, such as some Bacillus subtilis strains producing surfactants24, the droplets cannot maintain stability. Furthermore, if the medium itself is an obstacle to the generation of droplets, it is not viable to be used in MMC, for example, very viscous medium or medium containing large particles. At present, the species we have successfully cultivated in MMC includes E. coli, Lactobacillus plantarum, Corynebacterium glutamicum, yeasts, Methylobacterium extorquens, Aspergillus oryzae, microalgae and so on. It is recommended to cultivate the strain in MMC for preliminary experiment. Finally, the connectors and ports between the chip, the reagent bottle, and the MMC must be connected in strict accordance with the protocol. Otherwise, the bacteria solution may flow into the MMC and contaminate the interior. Additionally, it must be pointed out that the current throughput of MMC is limited (0-200), due to the time taken for the operations of sub-cultivation. In the future, we will optimize the control software and the size of the chip to shorten the time and improve the throughput. Since MMC is a modular system, only related parts or software need to be replaced without the requirement of new equipment.
At present, MMC can not only conduct growth curve measurement, adaptive laboratory evolution, and single-factor multi-level analysis but also be used to customize different droplet operation procedures to meet experimental needs. In the future, it is necessary to further enrich the application functions of the MMC system in response to the different needs of microbial research, such as conducting the multi-factor multi-level orthogonal experiments, multi-sample automatic sampling technology to simultaneously measure the growth curves of multiple bacterial species, and accurately detect and control more parameters (e.g., dissolved oxygen (DO) and pH). At the same time, it is also necessary to develop more functions in the field of microbiology to apply MMC to more practical scenarios, such as optimization of medium compositions, determination of minimum inhibitory concentration (MIC), co-cultivation of microorganisms25, etc.
The authors have nothing to disclose.
This study was supported by the National Key Research and Development Program of China (2018YFA0901500), the National Key Scientific Instrument and Equipment Project of the National Natural Science Foundation of China (21627812), and the Tsinghua University Initiative Scientific Research Program (20161080108). We also thank Prof. Julia A. Vorholt (Institute of Microbiology, Department of Biology, ETH Zurich, Zurich 8093, Switzerland) for the provision of the methanol-essential E. coli strain version 2.2 (MeSV2.2).
0.22 μm PVDF filter membrane | Merck Millipore Ltd. | SLGPR33RB | Sterilize the MMC oil |
4 °C refrigerator | Haier | BCD-289BSW | For reagent storage |
Agar | Becton, Dickinson and Company | 214010 | For solid plate preparation |
CaCl2·2H2O | Sinopharm Chemical Reagent Beijing Co., Ltd. | 20011160 | Component of the special medium for MeSV2.2. |
Clean bench | Beijing Donglian Har Instrument Manufacture Co., Ltd. | DL-CJ-INDII | For aseptic operation and UV sterilization |
CoCl2·6H2O | Sinopharm Chemical Reagent Beijing Co., Ltd. | 10007216 | Component of the special medium for MeSV2.2. |
Computer | Lenovo | E450 | Software installation and MMC control |
Constant temperature incubator | Shanghai qixin scientific instrument co., LTD | LRH 250 | For the microbial cultivation using solid medium |
CuSO4·5H2O | Sinopharm Chemical Reagent Beijing Co., Ltd. | 10008218 | Component of the special medium for MeSV2.2. |
Electronic balance | OHAUS | AR 3130 | For reagent weighing |
EP tube | Thermo Fisher | 1.5 mL | For droplet collection |
FeCl3·6H2O | Sinopharm Chemical Reagent Beijing Co., Ltd. | 10011928 | Component of the special medium for MeSV2.2. |
Freezing Tube | Thermo Fisher | 2.0 mL | For strain preservation |
Gluconate | Sigma-Aldrich | S2054 | Component of the special medium for MeSV2.2. |
Glycerol | GENERAL-REAGENT | G66258A | For strain preservation |
High-Pressure Steam Sterilization Pot | SANYO Electric | MLS3020 | For autoclaved sterilization |
isopropyl-β-d-thiogalactopyranoside (IPTG) | Biotopped | 420322 | Component of the special medium for MeSV2.2. |
Kanamycin sulfate | Solarbio | K8020 | Component of the special medium for MeSV2.2. |
KH2PO4 | MACKLIN | P815661 | Component of the special medium for MeSV2.2. |
Methanol | MACKLIN | M813895 | Component of the special medium for MeSV2.2. |
MgSO4·7H2O | BIOBYING | 1305715 | Component of the special medium for MeSV2.2. |
Microbial Microdroplet Culture System (MMC) | Luoyang TMAXTREE Biotechnology Co., Ltd. | MMC-I | Performing growth curve determination and adaptive evolution. Please refer to http://www.tmaxtree.com/en/index.php?v=news&id=110 |
Microfluidic chip | Luoyang TMAXTREE Biotechnology Co., Ltd. | MMC-ALE-OD | For various droplet operations. Please refer to http://www.tmaxtree.com/en/ |
MMC oil | Luoyang TMAXTREE Biotechnology Co., Ltd. | MMC-M/S-OD | The oil phase for droplet microfluidics. Please refer to http://www.tmaxtree.com/en/ |
MnCl2 | Sinopharm Chemical Reagent Beijing Co., Ltd. | 20026118 | Component of the special medium for MeSV2.2. |
NaCl | GENERAL-REAGENT | G81793J | Component of the LB medium |
Na2HPO4·12H2O | GENERAL-REAGENT | G10267B | Component of the special medium for MeSV2.2. |
NH4Cl | Sinopharm Chemical Reagent Beijing Co., Ltd. | 10001518 | Component of the special medium for MeSV2.2. |
Petri dish | Corning Incorporated | 90 mm | For the preparation of solid medium |
Pipette | eppendorf | 2.5 μL, 10 μL, 100μL, 1000μL | For liquid handling |
Quick connector A | Luoyang TMAXTREE Biotechnology Co., Ltd. | — | For the connection of each joint. Please refer to http://www.tmaxtree.com/en/ |
Reagent bottle | Luoyang TMAXTREE Biotechnology Co., Ltd. | MMC-PCB | Sampling and storage of bacteria solution and reagents. Please refer to http://www.tmaxtree.com/en/ |
Shake flask | Union-Biotech | 50 mL | For microbial cultivation |
Shaking incubator | Shanghai Sukun Industrial Co., Ltd. | SKY-210 2B | For the microbial cultivation in shake flask |
Streptomycin sulfate | Solarbio | S8290 | Component of the special medium for MeSV2.2. |
Syringe | JIANGSU ZHIYU MEDICAL INSTRUCTMENT CO., LTD | 10 mL | Draw liquid and inject it into the reagent bottle |
Syringe needle | OUBEL Hardware Store | 22G | Inner diameter is 0.41 mm and outer diameter is 0.71 mm. |
Tryptone | Oxoid Ltd. | LP0042 | Component of the LB medium |
Ultra low temperature refrigerator | SANYO Ultra-low | MDF-U4086S | For strain preservation (-80 °C) |
UV–Vis spectrophotometer | General Electric Company | Ultrospec 3100 pro | For the measurement of OD values |
Vitamin B1 | Solarbio | SV8080 | Component of the special medium for MeSV2.2. |
Yeast extract | Oxoid Ltd. | LP0021 | Component of the LB medium |
ZnSO4·7H2O | Sinopharm Chemical Reagent Beijing Co., Ltd. | 10024018 | Component of the special medium for MeSV2.2. |