Name: design and use of a low cost, automated morbidostat for adaptive evolution of bacteria under antibiotic drug selection
Uploaded: 2016-09-27T15:00:00
Description: Watch this Scientific Journal Video about Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection at JoVE.com

The authors would like to thank Prof. Sze-Bi Hsu and Ms. Zhenzhen for useful discussions and help in the theoretical analysis and numerical simulation. Y. T. Y. would like to acknowledge funding support from the Ministry of Science and Technology under grant numbers MOST 103-2220-E-007-026 and MOST 104-2220-E-007-011, and from the National Tsing Hua University under grant numbers 103N2042E1, 104N2042E1, and 105N518CE1.

1. Montaggio e Pretesting del dispositivo Morbidostat <ol><li> Assemblea della Morbidostat <ol><li> Punzone 3 fori sul tappo del flacone di coltura con una siringa 18 G. Tagliare tre pezzi di tubo di polietilene ~ 7 cm di lunghezza. Inserire questi tre pezzi di tubo di polietilene sul tappo. </li><li> Utilizzare nastro per avvolgere il bordo della calotta per servire come il cast per la miscela polidimetilsilossano (PDMS). Miscelare 5 g di un componente e 0,5 g di componente B dei PDMS in un contenitore di plastica 15...

<ol>
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Un dispositivo morbidostat a basso impatto da componenti a basso costo è dimostrata. Gli aumenti di livello resistenza ai farmaci registrati dal dispositivo sono coerenti con quelli di precedenti rapporti di 5. Progettato per gli studi evolutivi di resistenza ai farmaci, il dispositivo è potenzialmente applicabile a molti altri esperimenti. In primo luogo, un database completo di mutazioni indotte da farmaci può essere stabilita per un ampio insieme di antibiotici clinicamente rilevanti. Ad esempio, il per...

Dal momento che l&#39;introduzione del primo penicillina antibiotico, microbica resistenza agli antibiotici è trasformata in un problema di salute globale 1. Sebbene l&#39;acquisizione di resistenza agli antibiotici può essere studiato retrospettivamente in vivo, le condizioni di questi esperimenti sono spesso non controllati durante l&#39;intera evoluzione 2. In alternativa, adaptive evoluzione di laboratorio può rivelare l&#39;evoluzione molecolare di una specie microbiche sotto stress ambientali o pressione selettiva da un farmaco antibiotico 3. Recentemente, molti esperimenti evolutivi ben controllati di resistenza ai farmaci antibiotici hanno chiarito la comparsa di resistenza ai farmaci antibiotici. Ad esempio, il gruppo di Austin ha dimostrato rapido emergere in un microfluidica correttamente progettato ambiente compartimenti 4. Il morbidostat recentemente sviluppato induce mutazioni sistematiche sotto farmaco pressione selettiva 5,6. Il morbidostat, un Selec microbicaDispositivo zione che regola continuamente la concentrazione di antibiotico per mantenere una popolazione quasi costante, è un importante progresso dal test di fluttuazione utilizzato in microbiologia 7,8. Nel test di fluttuazione, un antibiotico viene iniettato ad alta concentrazione, ei mutanti sopravvissuti sono schermate e contati. Invece, i microbi in un morbidostat sono costantemente in discussione e acquisiscono mutazioni multiple. Il morbidostat funziona in modo simile al chemostat, un dispositivo di cultura inventato da Novick e Szliard nel 1950 che mantiene una popolazione costante fornendo continuamente nutrienti mentre diluendo la popolazione microbica 9. Fin dalla sua introduzione, il chemostat è stata avanzata e migliorata. Attuali chemostati microfluidica hanno raggiunto capacità nanolitri e unicellulari. Tuttavia, questi dispositivi non sono adatti per esperimenti evoluzione adattativa, che richiedono una grande popolazione di cellule con molti eventi mutazione 10,11. Recentemente, mini-chemostati con volumi di lavoro del ~ 10 ml sono stati sviluppati per colmare il divario tra bioreattori scala litri e la microfluidica chemostat 12,13. Qui vi presentiamo la progettazione e l&#39;utilizzo di un basso costo, morbidostat automatizzato per uno studio della resistenza ai farmaci antibiotici. Il modulo proposto può essere impiegato in un incubatore shaker in un laboratorio di microbiologia con requisiti hardware minimi. Il firmware open-source è anche facilmente su misura per applicazioni specifiche di evoluzione adattativa, come l&#39;ingegneria metabolica 3. Infine, il morbidostat è integrato in una piattaforma microfluidica multiplato per i test di suscettibilità antibiotica 14.

<table border="0" cellpadding="0" cellspacing="0" width="797">
	<tbody>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Environmental Shaker Incubator</td>
			<td style="width:135px;">BioSan</td>
			<td style="width:163px;">ES-20</td>
			<td style="width:227px;"></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Arduino Leonardo board</td>
			<td style="width:135px;">Arduino</td>
			<td style="width:163px;">Leonardo</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">680 Ohm Carbon Resistor</td>
			<td style="width:135px;">Digikey</td>
			<td style="width:163px;"></td>
			<td>Bias resistor for LED</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">100k Ohm Carbon resistor</td>
			<td style="width:135px;">Digikey</td>
			<td style="width:163px;"></td>
			<td>Bias resistor for phototransistor</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:275px;">940 nm light emitting diode</td>
			<td style="width:135px;">Bright LED Electronic</td>
			<td style="width:163px;">BIR-BM13E4G-2</td>
			<td>Optical density measurement</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">940 nm phototransistor</td>
			<td style="width:135px;">Kodenshi&#160;</td>
			<td style="width:163px;">ST-2L2B</td>
			<td>Optical density measurement</td>
		</tr>
		<tr height="57">
			<td height="57" style="height:57px;">Darlington pair IC Toshiba</td>
			<td style="width:135px;">Mouser</td>
			<td style="width:163px;">ULN2803APG</td>
			<td style="width:227px;">&#160;this IC drives micropumps and magnetic stirring unit</td>
		</tr>
		<tr height="41">
			<td height="41" style="height:41px;width:275px;">5V DC brushless fan&#160;</td>
			<td style="width:135px;">ADDA</td>
			<td style="width:163px;">AD0405LX-G70</td>
			<td style="width:227px;">spec: 5V supply voltage and 80mA available www.jameco.com</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Piezoelectric micropump</td>
			<td style="width:135px;">CurieJet</td>
			<td style="width:163px;">PS15I-FT-5L</td>
			<td>Pressure &#62;3kPa&#160; Flow rate &#62;5 ml/min</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Tygon 3350 Tuning</td>
			<td style="width:135px;">Saint Gobain</td>
			<td style="width:163px;">ABW00001</td>
			<td>ID: 1/32&#34; OD: 3/32&#34; L:50&#39;&#160;</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Magnetic Stir bar</td>
			<td style="width:135px;">COWIE</td>
			<td style="width:163px;"></td>
			<td>tapered shape dim: 10 mm x 4mm</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:275px;">Glass scintillation 20ml vial</td>
			<td style="width:135px;">DGS</td>
			<td style="width:163px;"></td>
			<td>Pyrex glass 28mm(dia.)x 61 mm(h)</td>
		</tr>
		<tr height="48">
			<td height="48" style="height:48px;width:275px;">Culture vial holder</td>
			<td style="width:135px;"></td>
			<td style="width:163px;"></td>
			<td>Custom made from Polyformaldehyde&#160;</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Silicone&#160;</td>
			<td style="width:135px;">Dow Corning</td>
			<td style="width:163px;">Sylgald 184</td>
			<td>used to seal the glass vial</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Medium bottle</td>
			<td style="width:135px;">VWR</td>
			<td style="width:163px;">66022-065</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Difco M9 minimal salt 5x</td>
			<td style="width:135px;">BD</td>
			<td style="width:163px;"></td>
			<td>Medium</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Cadamino Acid</td>
			<td style="width:135px;">BD</td>
			<td style="width:163px;"></td>
			<td>Medium</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">glucose</td>
			<td style="width:135px;">Sigma</td>
			<td style="width:163px;"></td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Agar Bateriological</td>
			<td style="width:135px;">Oxoid</td>
			<td style="width:163px;"></td>
			<td>for agar plate</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Luria Bertani medium</td>
			<td style="width:135px;"></td>
			<td style="width:163px;"></td>
			<td></td>
		</tr>
		<tr height="41">
			<td height="41" style="height:41px;width:275px;">Inverted microscope</td>
			<td style="width:135px;">Leica Microsystems</td>
			<td style="width:163px;">Leica DMI-LED</td>
			<td style="width:227px;">used for microfluidic measurement Use X40 objective NA=0.55</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:275px;">Microscope Incubator</td>
			<td style="width:135px;">Live Cell Instrument</td>
			<td style="width:163px;">CU-109</td>
			<td>used for microfluidic measurement</td>
		</tr>
		<tr height="49">
			<td height="49" style="height:49px;width:275px;">Solenoidal valves</td>
			<td style="width:135px;">Pneumadyne</td>
			<td style="width:163px;">S10MM-31-12-3</td>
			<td>Normally open 1.3 Watt 12 Vdc</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">USB interface card</td>
			<td style="width:135px;">Hobby Engineering</td>
			<td>USBIO24-R Digital I/O Module&#160;</td>
			<td>for microfluidics measurement</td>
		</tr>
		<tr height="45">
			<td height="45" style="height:45px;width:275px;">Air compressor</td>
			<td style="width:135px;">Rocker Scientific</td>
			<td style="width:163px;">ROCKER 440</td>
			<td style="width:227px;">Pressure source for microfluidcs Max. Pressure 80 Psi</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Male luer-lock fittings to 1/8&#34; barb</td>
			<td>ValuePlastics.com</td>
			<td style="width:163px;">MTLL230-1</td>
			<td>used for microfluidic control</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">1/8&#34; barb to 10-32 threaded port</td>
			<td>ValuePlastics.com</td>
			<td style="width:163px;">B-1</td>
			<td>used for microfluidic control</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Female luer-lock fittings to 10-32 threaded port</td>
			<td>ValuePlastics.com</td>
			<td style="width:163px;">KFTL-1</td>
			<td>used for microfluidic control</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">NPN darlington transistor 500mA, 40V (2N6427)</td>
			<td>DigiKey.com</td>
			<td>2N6427GOS-ND</td>
			<td>used for microfluidic control</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">10kOhm, carbon film resistor, 0.25W</td>
			<td>DigiKey.com</td>
			<td>P10KBACT-ND</td>
			<td>used for microfluidic control</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Tantalum capacitor, 10uF, 25V, 10%</td>
			<td>DigiKey.com</td>
			<td>478-1841-ND</td>
			<td>used for microfluidic control</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Andor CCD camera</td>
			<td style="width:135px;">Andor</td>
			<td style="width:163px;">Zyla 4.2 Plus SCMOS</td>
			<td>used for microfluidic on chip imaging</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">ELISA plate reader</td>
			<td style="width:135px;"></td>
			<td style="width:163px;"></td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">two component Silicone&#160;</td>
			<td style="width:135px;">Momentive</td>
			<td style="width:163px;">RTV 615</td>
			<td>used for microfluidic chip fabrication</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">SU-8 photoresist</td>
			<td style="width:135px;">Micrchem</td>
			<td style="width:163px;">SU8 2015</td>
			<td>used for microfluidic chip fabrication</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">AZ4620 photoresist</td>
			<td style="width:135px;">Clariant</td>
			<td style="width:163px;">AZ 4620</td>
			<td>used for microfluidic chip fabrication</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Plasma cleaner</td>
			<td style="width:135px;">Harrick Plasma</td>
			<td style="width:163px;">PDC 32G</td>
			<td>used for microfluidic chip fabrication</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">20 Gauge Syringe Needle</td>
			<td style="width:135px;">BD</td>
			<td style="width:163px;"></td>
			<td>used for microfluidic chip fabrication</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Labcycler</td>
			<td style="width:135px;">Sensoquest</td>
			<td style="width:163px;">Labcycler</td>
			<td>PCR&#160;</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">DNA polymerase</td>
			<td style="width:135px;">Toyobo</td>
			<td style="width:163px;">KDO Plus</td>
			<td>PCR amplification</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Trimethoprim</td>
			<td style="width:135px;">Sigma</td>
			<td style="width:163px;"></td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:275px;">Plate reader</td>
			<td style="width:135px;">Biotek</td>
			<td style="width:163px;">Synergy H1 hybrid&#160;</td>
			<td>antibiotic resistane measurement</td>
		</tr>
	</tbody>
</table>

design and use of a low cost, automated morbidostat for adaptive evolution of bacteria under antibiotic drug selection

Descriviamo un basso costo, morbidostat configurabile per caratterizzare il percorso evolutivo della resistenza agli antibiotici. Il morbidostat è un dispositivo di coltura batterica che controlla continuamente la crescita batterica e regola dinamicamente la concentrazione di farmaco di sfidare costantemente i batteri si evolvono per acquisire resistenza ai farmaci. Il dispositivo è dotato di un volume di lavoro di ~ 10 ml ed è completamente automatizzato e dotato di misura della densità ottica e micro-pompe per medio e la somministrazione di farmaci. Per convalidare la piattaforma, abbiamo misurato l&#39;acquisizione graduale della resistenza trimetoprim in Escherichia coli MG 1655, e integrato il dispositivo con una piattaforma microfluidica multiplex per indagare la morfologia cellulare e sensibilità agli antibiotici. L&#39;approccio può essere up-scalata a studi di laboratorio di resistenza ai farmaci antibiotici, ed è estendibile a adattivo evoluzione per i miglioramenti di deformazione in ingegneria metabolica e altri esperimenti di coltura batterica.

Il morbidostat sopra descritto è schematizzato in Figura 1. Le operazioni morbidostat comuni, tra evoluzione sperimentale, test di sensibilità agli antibiotici e controllo della morfologia cellulare, sono stati convalidati in E. cultura coli MG1655 esposti a trimetoprim (TMP), un antibiotico comunemente usato 5,6. TMP induce molto particolari graduali aumenti di resistenza ai farmaci, e le mutazioni sono raggruppati intorno al gene diidrofo...

Watch this Scientific Journal Video about Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection at JoVE.com

Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection

We describe a low cost, configurable morbidostat that enables the characterization of antibiotic drug resistance by dynamically adjusting the drug concentration. The device can be integrated with a multiplexed microfluidic platform. The approach can be scaled up for laboratory antibiotic drug resistance studies.

Progettazione e l&#39;uso di un basso costo, Automated Morbidostat per Adaptive Evolution di batteri sotto antibiotici selezione dei farmaci

We describe a low cost, configurable morbidostat for characterizing the evolutionary pathway of antibiotic resistance. The morbidostat is a bacterial ...

The overall goal of this experiment is to characterize the evolutionary pathway of antibiotic resistance using a Morbidostat that continuously monitors bacterial growth and dynamically adjusts the antibiotic concentration as bacteria acquire drug resistance. The main advantage of this technique is that the set up is made of low cost easily available electronic components and can be easily reconfigured for specific means. Demonstrating the procedures will be Po Cheng Liu and Yi Tai Lee, both are grad students of my laboratory.To assemble the Morbidostat, begin by using an 18 gauge needle to punch three holes into the cap of the culture vial. Cut three pieces of polyethylene tubing approximately seven centimeters in length and insert them into the holes in the cap. Use tape to wrap the edge of the cap to serve as the cast for the Polydimethylsiloxane, or PDMS, mixture.Then add five grams of component A and 0.5 grams of component B of the PDMS in a 150 milliliter plastic container and use a toothpick to manually stir it. Load the mixture into a 10 milliliter syringe. Then, with the syringe, inject the PDMS mixture onto the cap.Bake the entire cap at 70 degrees Celsius for eight hours to cure the PDMS. Next, using a soldering iron, solder the LED anode with the 24 gauge wire and the LED cathode with the carbon resistor. Then solder a 680 Ohm carbon resistor with a 24 gauge wire.Use electrical tape to insulate the wire connection. Solder the collector of the photo detector with the 24 gauge wire and the emitter of the photo detector with a 100 Ohm carbon resistor. Then use electrical tape to insulate the wire connection.Place the light emitting diode in the culture vial holder. By following the circuit diagram shown here, connect the light emitting diode and use a five volt power supply to power it. Ensure that the LED works by using a digital camera that can detect IR.Now place the photo detector in the culture vial holder.Then following the diagram, connect the photo detector and use a five volt power supply to power it. Connect the wire to both sides of the photo detector resistors o measure the voltage across the electronic control board. Glue a magnet on the shaft of the cooling fan which serves as the magnetic stirrer unit.Because the magnetic stirring unit is formed from the magnet and the cooling fan, it's crucial to align the shelf of the fan to culture vial. Also the distance between the culture vial and the magnet is very critical to ensure the stable operation. Connect each piece of polyethylene tubing of the culture vial into the corresponding piece of silicone tubing for the micro pumps, medium bottles, and waste bottle.Turn on the pump for one hour and measure the total volume being pumped from the medium bottle to the culture vial to determine the pump rate. The typical pumping rate should be approximately four milliliters per hour, which corresponds to the dilution rate of D equals 0.33 per hour for a 12 milliliter working volume of the culture vial. When the set up is complete, place the entire assembly on a mid sized shaking incubator.To pre test the Morbidostat, set the power supply voltage of the cooling fan to five volts to start its motor to test the magnetic stir bar. After preparing a series of E-coli samples and plotting a calibration curve according to the text protocol, prepare the culture vial with three seven centimeter lengths of ultra chemical resistant Tygon tubing with an inner diameter of 132nd of an inch and an outer diameter of 332nds of an inch for inlets to form the device. Prepare M9 minimal medium with 0.2%glucose and M9 containing the drug Trimethoprim or TMP.Then sterilize the medium, medium bottle, the drug medium bottle, the waste bottle, and the culture vial in an autoclave at 121 degrees Celsius. On the first day of the experiment, thaw one milliliter of frozen wild type E-coli MG1655 cells at room temperature for five minutes and transfer 120 microliters of the cells to a culture vial containing approximately 12 milliliters of M9 growth medium. Turn on the shaking incubator and set the temperature to 30 degrees Celsius with no shaking.Start the Morbidostat operation by turning on the micro pump, the magnetic stirring unit, and the optical density measurement. After approximately 23 hours, stop the micro pump by turning off its supply voltage and take out the culture vial. Add 15%glycerol into the culture vial and freeze the samples at negative 80 degrees Celsius for storage.Switching to a new culture vial in the beginning of each of these experiments is also important to avoid biotin formations. Otherwise the biotin formation can occur within two or three days. After thawing the daily frozen sample at room temperature for five minutes, inoculate a new test tube with fresh M9 medium.Place the sample in a shaking incubator at 37 degrees Celsius overnight. The following day, use M9 medium to dilute the microbial sample tenfold and load it into the microfluidic device by pressuring the microbial sample container at five PSI. Then load the TMP containing medium into the chip by pressuring the M9 with TMP container at five PSI.Execute the mixing between the microbe and drug by actuating the micro mechanical valve between the two chambers on the microfluidic chip for 15 minutes. Finally place the microfluidic chip in the microscope incubator mounted on the inverted microscope. With a CCD camera, acquire cell images in the growth chamber every hour for eight hours.Calculate cell number data according to the text protocol. The common Morbidostat operations including experimental evolution, antibiotic susceptibility test, and cell morphology checking were invalidated using an E-coli MG1655 culture exposed to the antibiotic TMP, which induces a distinctive step wise increase in drug resistance with mutations clustered around the dihydrofolate reductase, or DHFR, gene. Each day, the microbe is expected to grow above the pre set optical density threshold and trigger the drug injection as shown here.The drug injection is expected to inhibit the growth, and as a result, decrease the optical density. This plot shows the temporal increase in the antibiotic drug resistance in an experiment to determine the IC50. The drug resistance increased approximately 1500 fold to 1, 000 micrograms per milliliter over about 12 days.Consistent with previous findings. The DHFR point mutations in the last day mutant were measured by Sanger sequencing and are listed in this table. The acquisition of drug resistance with multiple mutations proves the usefulness of the Morbidostat.As the selection on drug containing agar plates tends to confer only the single mutation. This figure displays the on chip growth curves at various concentrations of TMP. The mutant samples shows a significant increase in antibiotic drug resistance.After its develop, this technique paved the way for the researchers to study the position of antibiotic drug resistance in a real control laboratory environment. Following this procedure, other measure like microfluidic single cell measurement can be performed in order to answer additional questions like it still morphology to change due to the exposure of antibiotic drugs. Once mastered, this device can be easily reconfigured for all the bacterial culture experiment such as the cultivation of a sign of bacteria or increasing the costing tolerance level of a bacterial strain.After watching this video, you should have a good understanding of how to study the acquisition of antibiotic drug resistance in a real control adaptive laboratory evolutionary experiment. Don't forget to handle the drug resistant bacteria according to the bio safety rules for microbiological practice. Special permission may be required for an experiment involving basic training of bacteria.

design-use-low-cost-automated-morbidostat-for-adaptive-evolution

Research

JoVE Journal

Genetics

Procedure for Adaptive Laboratory Evolution of Microorganisms Using a Chemostat

Natural evolution involves genetic diversity such as environmental change and a selection between small populations. Adaptive laboratory evolution (ALE) refers to the experimental situation in which evolution is observed using living organisms under controlled conditions and stressors; organisms are thereby artificially forced to make evolutionary changes. Microorganisms are subject to a variety of stressors in the environment and are capable of regulating certain stress-inducible proteins to increase their chances of survival. Naturally occurring spontaneous mutations bring about changes in a microorganism's genome that affect its chances of survival. Long-term exposure to chemostat culture provokes an accumulation of spontaneous mutations and renders the most adaptable strain dominant. Compared to the colony transfer and serial transfer methods, chemostat culture entails the highest number of cell divisions and, therefore, the highest number of diverse populations. Although chemostat culture for ALE requires more complicated culture devices, it is less labor intensive once the operation begins. Comparative genomic and transcriptome analyses of the adapted strain provide evolutionary clues as to how the stressors contribute to mutations that overcome the stress. The goal of the current paper is to bring about accelerated evolution of microorganisms under controlled laboratory conditions.

Here, we present a protocol to obtain adaptive laboratory evolution of microorganisms under conditions using chemostat culture. Also, genomic analysis of the evolved strain is discussed.

Procedura per l&#39;Adaptive Laboratorio evoluzione dei microrganismi Utilizzando un chemostat

Natural evolution involves genetic diversity such as environmental change and a selection between small populations. Adaptive laboratory evolution (ALE) ...

Ricerca

Genetica

Testing the Role of Multicopy Plasmids in the Evolution of Antibiotic Resistance

Multicopy plasmids are extremely abundant in prokaryotes but their role in bacterial evolution remains poorly understood. We recently showed that the increase in gene copy number per cell provided by multicopy plasmids could accelerate the evolution of plasmid-encoded genes. In this work, we present an experimental system to test the ability of multicopy plasmids to promote gene evolution. Using simple molecular biology methods, we constructed a model system where an antibiotic resistance gene can be inserted into Escherichia coli MG1655, either in the chromosome or on a multicopy plasmid. We use an experimental evolution approach to propagate the different strains under increasing concentrations of antibiotics and we measure survival of bacterial populations over time. The choice of the antibiotic molecule and the resistance gene is so that the gene can only confer resistance through the acquisition of mutations. This &#34;evolutionary rescue&#34; approach provides a simple method to test the potential of multicopy plasmids to promote the acquisition of antibiotic resistance. In the next step of the experimental system, the molecular bases of antibiotic resistance are characterized. To identify mutations responsible for the acquisition of antibiotic resistance we use deep DNA sequencing of samples obtained from whole populations and clones. Finally, to confirm the role of the mutations in the gene under study, we reconstruct them in the parental background and test the resistance phenotype of the resulting strains.

Here we present an experimental method to test the role of multicopy plasmids in the evolution of antibiotic resistance.

Prova il ruolo dei plasmidi multicopia nell'evoluzione della resistenza agli Antibiotico

Multicopy plasmids are extremely abundant in prokaryotes but their role in bacterial evolution remains poorly understood. We recently showed that the ...

Genome-wide Surveillance of Transcription Errors in Eukaryotic Organisms

Accurate transcription is required for the faithful expression of genetic information. Surprisingly though, little is known about the mechanisms that control the fidelity of transcription. To fill this gap in scientific knowledge, we recently optimized the circle-sequencing assay to detect transcription errors throughout the transcriptome of Saccharomyces cerevisiae, Drosophila melanogaster, and Caenorhabditis elegans. This protocol will provide researchers with a powerful new tool to map the landscape of transcription errors in eukaryotic cells so that the mechanisms that control the fidelity of transcription can be elucidated in unprecedented detail.

This protocol provides researchers with a new tool to monitor the fidelity of transcription in multiple model organisms.

Sorveglianza di genoma di errori di trascrizione in organismi eucarioti

Accurate transcription is required for the faithful expression of genetic information. Surprisingly though, little is known about the mechanisms that ...

Producing Gene Deletions in Escherichia coli by P1 Transduction with Excisable Antibiotic Resistance Cassettes

A first approach to study the function of an unknown gene in bacteria is to create a knock-out of this gene. Here, we describe a robust and fast protocol for transferring gene deletion mutations from one Escherichia coli strain to another by using generalized transduction with the bacteriophage P1. This method requires that the mutation be selectable (e.g., based on gene disruptions using antibiotic cassette insertions). Such antibiotic cassettes can be mobilized from a donor strain and introduced into a recipient strain of interest to quickly and easily generate a gene deletion mutant. The antibiotic cassette can be designed to include flippase recognition sites that allow the excision of the cassette by a site-specific recombinase to produce a clean knock-out with only a ~100-base-pair-long scar sequence in the genome. We demonstrate the protocol by knocking out the tamA gene encoding an assembly factor involved in autotransporter biogenesis and test the effect of this knock-out on the biogenesis and function of two trimeric autotransporter adhesins. Though gene deletion by P1 transduction has its limitations, the ease and speed of its implementation make it an attractive alternative to other methods of gene deletion.

Producing Gene Deletions in Escherichia coli by P1 Transduction with Excisable Antibiotic Resistance Cassettes

Here we present a protocol for the use of pre-existing antibiotic resistance-cassette deletion constructs as a basis for making deletion mutants in other E. coli strains. Such deletion mutations can be mobilized and inserted into the corresponding locus of a recipient strain using P1 bacteriophage transduction.

Produzione di delezioni del Gene in Escherichia coli di trasduzione P1 con cassette di resistenza agli antibiotici soggetti ad accisa

A first approach to study the function of an unknown gene in bacteria is to create a knock-out of this gene. Here, we describe a robust and fast protocol ...

qKAT: Quantitative Semi-automated Typing of Killer-cell Immunoglobulin-like Receptor Genes

Killer cell immunoglobulin-like receptors (KIRs) are a set of inhibitory and activating immune receptors, on natural killer (NK) and T cells, encoded by a polymorphic cluster of genes on chromosome 19. Their best-characterized ligands are the human leukocyte antigen (HLA) molecules that are encoded within the major histocompatibility complex (MHC) locus on chromosome 6. There is substantial evidence that they play a significant role in immunity, reproduction, and transplantation, making it crucial to have techniques that can accurately genotype them. However, high-sequence homology, as well as allelic and copy number variation, make it difficult to design methods that can accurately and efficiently genotype all KIR genes. Traditional methods are usually limited in the resolution of data obtained, throughput, cost-effectiveness, and the time taken for setting up and running the experiments. We describe a method called quantitative KIR semi-automated typing (qKAT), which is a high-throughput multiplex real-time polymerase chain reaction method that can determine the gene copy numbers for all genes in the KIR locus. qKAT is a simple high-throughput method that can provide high-resolution KIR copy number data, which can be further used to infer the variations in the structurally polymorphic haplotypes that encompass them. This copy number and haplotype data can be beneficial for studies on large-scale disease associations, population genetics, as well as investigations on expression and functional interactions between KIR and HLA.

Quantitative killer cell immunoglobulin-like receptor (KIR) semi-automated typing (qKAT) is a simple, high-throughput, and cost-effective method to copy number type KIR genes for their application in population and disease association studies.

qKAT: Quantitative sulla tipizzazione di assassino-cellula immunoglobulina-come geni del ricevitore

Killer cell immunoglobulin-like receptors (KIRs) are a set of inhibitory and activating immune receptors, on natural killer (NK) and T cells, encoded by a ...

Genetic Engineering of Dictyostelium discoideum Cells Based on Selection and Growth on Bacteria

Dictyostelium discoideum is an intriguing model organism for the study of cell differentiation processes during development, cell signaling, and other important cellular biology questions. The technologies available to genetically manipulate Dictyostelium cells are well-developed. Transfections can be performed using different selectable markers and marker re-cycling, including homologous recombination and insertional mutagenesis. This is supported by a well-annotated genome. However, these approaches are optimized for axenic cell lines growing in liquid cultures and are difficult to apply to non-axenic wild-type cells, which feed only on bacteria. The mutations that are present in axenic strains disturb Ras signaling, causing excessive macropinocytosis required for feeding, and impair cell migration, which confounds the interpretation of signal transduction and chemotaxis experiments in those strains. Earlier attempts to genetically manipulate non-axenic cells have lacked efficiency and required complex experimental procedures. We have developed a simple transfection protocol that, for the first time, overcomes these limitations. Those series of large improvements to Dictyostelium molecular genetics allow wild-type cells to be manipulated as easily as standard laboratory strains. In addition to the advantages for studying uncorrupted signaling and motility processes, mutants that disrupt macropinocytosis-based growth can now be readily isolated. Furthermore, the entire transfection workflow is greatly accelerated, with recombinant cells that can be generated in days rather than weeks. Another advantage is that molecular genetics can further be performed with freshly isolated wild-type Dictyostelium samples from the environment. This can help to extend the scope of approaches used in these research areas.

Genetic Engineering of Dictyostelium discoideum Cells Based on Selection and Growth on Bacteria

Dictyostelium discoideum is a popular model organism to study complex cellular processes such as cell migration, endocytosis, and development. The utility of the organism is dependent on the feasibility of genetic manipulation. Here, we present methods to transfect Dictyostelium discoideum cells that overcome existing limitations of culturing cells in liquid media.

Ingegneria genetica di Dictyostelium discoideum cellule basata sulla selezione e crescita sui batteri

Dictyostelium discoideum is an intriguing model organism for the study of cell differentiation processes during development, cell signaling, and other ...

Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER

Continuous culture methods enable cells to be grown under quantitatively controlled environmental conditions, and are thus broadly useful for measuring fitness phenotypes and improving our understanding of how genotypes are shaped by selection. Extensive recent efforts to develop and apply niche continuous culture devices have revealed the benefits of conducting new forms of cell culture control. This includes defining custom selection pressures and increasing throughput for studies ranging from long-term experimental evolution to genome-wide library selections and synthetic gene circuit characterization. The eVOLVER platform was recently developed to meet this growing demand: a continuous culture platform with a high degree of scalability, flexibility, and automation. eVOLVER provides a single standardizing platform that can be (re)-configured and scaled with minimal effort to perform many different types of high-throughput or multi-dimensional growth selection experiments. Here, a protocol is presented to provide users of the eVOLVER framework a description for configuring the system to conduct a custom, large-scale continuous growth experiment. Specifically, the protocol guides users on how to program the system to multiplex two selection pressures &#8212; temperature and osmolarity &#8212; across many eVOLVER vials in order to quantify fitness landscapes of Saccharomyces cerevisiae mutants at fine resolution. We show how the device can be configured both programmatically, through its open-source web-based software, and physically, by arranging fluidic and hardware layouts. The process of physically setting up the device, programming the culture routine, monitoring and interacting with the experiment in real-time over the internet, sampling vials for subsequent offline analysis, and post experiment data analysis are detailed. This should serve as a starting point for researchers across diverse disciplines to apply eVOLVER in the design of their own complex and high-throughput cell growth experiments to study and manipulate biological systems.

The eVOLVER framework enables high-throughput continuous microbial culture with high resolution and dynamic control over experimental parameters. This protocol demonstrates how to apply the system to conduct a complex fitness experiment, guiding users on programming automated control over many individual cultures, measuring, collecting, and interacting with experimental data in real-time.

Progettare esperimenti di crescita cellulare automatizzati, ad alta produttività e continui utilizzando eVOLVER

Continuous culture methods enable cells to be grown under quantitatively controlled environmental conditions, and are thus broadly useful for measuring ...

Use of Frozen Tissue in the Comet Assay for the Evaluation of DNA Damage

The comet assay is gaining popularity as a means to assess DNA damage in cultured cells and tissues, particularly following exposure to chemicals or other environmental stressors. Use of the comet assay in regulatory testing for genotoxic potential in rodents has been driven by adoption of an Organisation for Economic Co-operation and Development (OECD) test guideline in 2014. Comet assay slides are typically prepared from fresh tissue at the time of necropsy; however, freezing tissue samples can avoid logistical challenges associated with simultaneous preparation of slides from multiple organs per animal and from many animals per study. Freezing also enables shipping samples from the exposure facility to a different laboratory for analysis, and storage of frozen tissue facilitates deferring a decision to generate DNA damage data for a given organ. The alkaline comet assay is useful for detecting exposure-related DNA double- and single-strand breaks, alkali-labile lesions, and strand breaks associated with incomplete DNA excision repair. However, DNA damage can also result from mechanical shearing or improper sample processing procedures, confounding the results of the assay. Reproducibility in collection and processing of tissue samples during necropsies may be difficult to control due to fluctuating laboratory personnel with varying levels of experience in harvesting tissues for the comet assay. Enhancing consistency through refresher training or deployment of mobile units staffed with experienced laboratory personnel is costly and may not always be feasible. To optimize consistent generation of high quality samples for comet assay analysis, a method for homogenizing flash frozen cubes of tissue using a customized tissue mincing device was evaluated. Samples prepared for the comet assay by this method compared favorably in quality to fresh and frozen tissue samples prepared by mincing during necropsy. Moreover, low baseline DNA damage was measured in cells from frozen cubes of tissue following prolonged storage.

This protocol describes several procedures for preparing high quality frozen tissue samples at the time of necropsy for use in the comet assay to assess DNA damage: 1) minced tissue, 2) scraped epithelial cells from the gastrointestinal tract, and 3) cubed tissue samples, requiring homogenization using a tissue mincing device.

Uso di tessuto congelato nel saggio Cometa per la valutazione del danno del DNA

The comet assay is gaining popularity as a means to assess DNA damage in cultured cells and tissues, particularly following exposure to chemicals or other ...

Use of Drosophila S2 Cells for Live Imaging of Cell Division

Drosophila S2 cells are an important tool in studying mitosis in tissue culture, providing molecular insights into this fundamental cellular process in a rapid and high-throughput manner. S2 cells have proven amenable to both fixed- and live-cell imaging applications. Notably, live-cell imaging can yield valuable information about how loss or knockdown of a gene can affect the kinetics and dynamics of key events during cell division, including mitotic spindle assembly, chromosome congression, and segregation, as well as overall cell cycle timing. Here we utilize S2 cells stably transfected with fluorescently tagged mCherry:&#945;-tubulin to mark the mitotic spindle and GFP:CENP-A (referred to as &#8216;CID&#8217; gene in Drosophila) to mark the centromere to analyze the effects of key mitotic genes on the timing of cell divisions, from prophase (specifically at Nuclear Envelope Breakdown; NEBD) to the onset of anaphase. This imaging protocol also allows for the visualization of the spindle microtubule and chromosome dynamics throughout mitosis. Herein, we aim to provide a simple yet comprehensive protocol that will allow readers to easily adapt S2 cells for live imaging experiments. Results obtained from such experiments should expand our understanding of genes involved in the cell division by defining their role in several simultaneous and dynamic events. Observations made in this cell culture system can be validated and further investigated in vivo using the impressive toolkit of genetic approaches in flies.

Use of Drosophila S2 Cells for Live Imaging of Cell Division

Cell divisions can be visualized in real time using fluorescently tagged proteins and time-lapse microscopy. Using the protocol presented here, users can analyze cell division timing dynamics, mitotic spindle assembly, and chromosome congression and segregation. Defects in these events following RNA interference (RNAi)-mediated gene knockdown can be assessed and quantified.

Uso di celle Drosophila S2 per l'imaging live della divisione cellulare

Drosophila S2 cells are an important tool in studying mitosis in tissue culture, providing molecular insights into this fundamental cellular process in a ...

A FACS-based Protocol to Isolate RNA from the Secondary Cells of Drosophila Male Accessory Glands

To understand the function of an organ, it is often useful to understand the role of its constituent cell populations. Unfortunately, the rarity of individual cell populations often makes it difficult to obtain enough material for molecular studies. For example, the accessory gland of the Drosophila male reproductive system contains two distinct secretory cell types. The main cells make up 96% of the secretory cells of the gland, while the secondary cells (SC) make up the remaining 4% of cells (about 80 cells per male). Although both cell types produce important components of the seminal fluid, only a few genes are known to be specific to the SCs. The rarity of SCs has, thus far, hindered transcriptomic analysis study of this important cell type. Here, a method is presented that allows for the purification of SCs for RNA extraction and sequencing. The protocol consists in first dissecting glands from flies expressing a SC-specific GFP reporter and then subjecting these glands to protease digestion and mechanical dissociation to obtain individual cells. Following these steps, individual, living, GFP-marked cells are sorted using a fluorescent activated cell sorter (FACS) for RNA purification. This procedure yields SC-specific RNAs from ~40 males per condition for downstream RT-qPCR and/or RNA sequencing in the course of one day. The rapidity and simplicity of the procedure allows for the transcriptomes of many different flies, from different genotypes or environmental conditions, to be determined in a short period of time.

A FACS-based Protocol to Isolate RNA from the Secondary Cells of Drosophila Male Accessory Glands

Here, we present a protocol to dissociate and sort a specific cell population from the Drosophila male accessory glands (secondary cells) for RNA sequencing and RT-qPCR. Cell isolation is accomplished through FACS purification of GFP-expressing secondary cells after a multistep-dissociation process requiring dissection, proteases digestion and mechanical dispersion.

Un protocollo basato su FACS per isolare l'RNA dalle cellule secondarie delle ghiandole accessorie maschili della Drosophila

To understand the function of an organ, it is often useful to understand the role of its constituent cell populations. Unfortunately, the rarity of ...