We thank Jin-Town Wang and Susannah Salter for supplying strains, and members of the Parkhill group for helpful discussions. This work was funded by the Wellcome Sanger Institute (Wellcome grant 206194), and by a Sir Henry Wellcome postdoctoral fellowship to F.L.S. (grant 106063/A/14/Z). M.J.D. is supported by a Wellcome Sanger Institute PhD Studentship.

NOTE: Ensure that any risk assessments applicable to the bacterial strains are adhered to when culturing and handling samples. Be aware that setting up too many gradients at one time can lead to musculoskeletal disorders due to the pressure on joints from the slow pipetting involved. Plan work and take precautions to avoid injury.
1. Preparation of Bacterial Strains or Mutant Libraries
<ol>
	<li>Streak out the strains to be tested on appropriate agar plates. These are stock plates for the experiment.
	<ol>
		<li>Incubate the plates overnight at the desired temperature to achieve single colonies. For this experiment, culture K. pneumoniae (NTUH-K2044 and ATCC43816 strains) on Luria broth (LB) agar at 37 &#176;C, and S. pneumoniae (23F wild type and 23F &#916;cps) on blood agar in a humidified candle jar at 37 &#176;C.</li>
	</ol>
	</li>
	<li>Pick a single colony from a stock plate (step 1.1) to inoculate 10 mL of appropriate broth using a sterile loop or cocktail stick. For screening of random mutant libraries, inoculate the broth with 10 &#181;L of the random mutant library stock (TraDIS Library).
	<ol>
		<li>Incubate K. pneumoniae strains in low salt LB media at 37 &#176;C with shaking, and S. pneumoniae strains in brain heart infusion (BHI) media, statically at 37 &#176;C.</li>
		<li>Transfer the overnight culture to a 15 mL tube and centrifuge in a bench-top centrifuge for 10 min at 3,200 x g in swing out buckets with 15 mL tube inserts and aerosol tight lids.</li>
		<li>Discard the supernatant and resuspend the pellet in 2 mL of 1x phosphate-buffered saline (PBS). 
		NOTE: Dispose of supernatant via the appropriate liquid biological waste route in the laboratory. The purpose of the centrifugation and resuspension steps (1.2.2 and 1.2.3) is to concentrate the bacteria for easy visualization on the gradient. Bacterial cultures can be loaded directly onto the gradient if preferred. Heavily capsulated strains may not form a tight pellet. If this occurs, remove as much supernatant as possible without removing any bacterial cells, add 1x PBS to a final volume of 5 mL and resuspend the pellet. Continue the protocol with step 1.2.5.</li>
		<li>For non-mucoid strains, go to step 2.</li>
		<li>Centrifuge the tubes as described in step 1.2.2.</li>
		<li>Discard the supernatant and resuspend the pellet in 2 mL of 1x PBS. Cells are now ready to use. 
		NOTE: The density of the bacterial cell suspension is not critical but needs to be sufficient for visualization in the gradient. A minimum OD600 (optical density at 600 nm) of 4 is suggested.</li>
	</ol>
	</li>
</ol>
2. Preparation of Gradient Dilutions and Mini-gradient Test
<ol>
	<li>Prepare gradient dilutions. 
	NOTE: Exact concentrations of density gradient medium (e.g., Percoll) needed in the density gradients to achieve good separation will differ depending on the bacterial strain and growth conditions used. Mini-gradient tests are performed first, to identify the concentrations that will give the best separation. These comprise 500 &#181;L of a single dilution in a 2 mL tube. If bacteria will be extracted from the gradient and subcultured for downstream applications, these steps should be performed under aseptic conditions.
	<ol>
		<li>Combine density gradient medium with 1x PBS to make the density gradient dilutions. Make dilutions of 20%, 30%, 40%, 50%, 60%, 70%, and 80% (e.g., 2 mL of density gradient medium plus 8 mL of 1x PBS = 10 mL of 20% density gradient medium).</li>
		<li>Aliquot 500 &#181;L of the 20% gradient dilution into a 2 mL tube for each strain to be tested (e.g., 4 strains = 4 tubes containing 500 &#181;L of 20% gradient dilution).</li>
		<li>Repeat step 2.1.2 for the rest of the gradient dilutions.</li>
	</ol>
	</li>
	<li>Apply bacteria to the gradient.
	<ol>
		<li>Apply 100 &#181;L of bacterial cells prepared in steps 1.2.3 and 1.2.6 to the top of each gradient dilution following the steps below.
		<ol>
			<li>Take up 100 &#181;L of cells using a 200 &#181;L pipette and place the pipette tip on the side of the tube just below the meniscus of the mini-gradient.</li>
			<li>Aspirate the bacterial cells onto the gradient extremely slowly so that they form a layer on the top of the gradient, without any mixing of the interface.</li>
			<li>Repeat steps 2.2.1.1&#8211;2.2.1.2 for all strains to be tested.</li>
		</ol>
		</li>
		<li>Using a fixed angle rotor with an aerosol tight lid, centrifuge the prepared tubes in a microcentrifuge for 10 min at 8,000 x g.</li>
		<li>After centrifugation, transfer the tubes to a rack to visualize the minimum gradient dilution required to retain cells just above the gradient layer following centrifugation.</li>
		<li>If the results are not clear, repeat the mini-gradient test with increments of 5% density gradient medium dilutions above and below the concentrations defined in step 2.1.1 (e.g., 25% and 35% dilutions should be tested if the result at 30% is ambiguous). 
		NOTE: See Figure 2A for typical results at a single density gradient medium dilution.</li>
		<li>Use the results from steps 2.2.3&#8211;2.2.4 to determine the ideal gradient dilutions to use to separate cells in larger-scale discontinuous gradients.</li>
	</ol>
	</li>
</ol>
3. Preparation of Cells for the Main Experiment
<ol>
	<li>Prepare fresh overnight cultures by inoculating 10 mL of appropriate broth as described in step 1.2.
	<ol>
		<li>Incubate the cultures overnight in appropriate conditions as described in step 1.2.1.</li>
		<li>Pellet the overnight culture as described in step 1.2.2.</li>
	</ol>
	</li>
	<li>Wash the cells as described in step 1.2.3.</li>
	<li>Discard the supernatant and resuspend the pellet in 1 mL of 1x PBS. If the strain is mucoid and does not pellet easily, resuspend the pellet in up to 2 mL of PBS or residual media. Cells are now ready to use.</li>
</ol>
4. Preparation of Discontinuous Density Gradients
NOTE: An alternative method of gradient preparation from bottom (most concentrated) to top (least concentrated) using a pipette is described in step 7.
<ol>
	<li>Pipette 1 mL of the most dilute density gradient dilution into a 5 mL polypropylene round bottom tube to form the top, most dilute, layer of the gradient. 
	NOTE: Subsequent layers of more concentrated gradient dilutions will be added below this layer using a needle, so as not to disrupt the layers. A minimum of two and maximum of three gradient layers of 1 mL each are recommended for robust separation and easy visualization of bacteria.
	<ol>
		<li>Using a 1 mL disposable syringe with a 1.5 inch needle attached, take 1 mL of the next most concentrated density gradient medium dilution into the syringe. Avoid taking up any air, as bubbles can disrupt the gradient layers.</li>
		<li>Place the needle end at the bottom of the tube containing the first layer. Aspirate the syringe contents very slowly to avoid mixing the interface. 
		NOTE: The interface of the two dilutions will rise as the more concentrated gradient dilution is added. Observe the interface by holding it up to light or an outside window. If no distinct interface is observed, discard the gradient and start again.
		<ol>
			<li>Remove the needle from the gradient very gently so as not to disturb the interface between the different gradient dilutions. Place the tube in a suitable rack to keep it upright.</li>
		</ol>
		</li>
		<li>If using three different dilutions, repeat steps 4.1.1&#8211;4.1.2.1 so that the densest dilution is at the bottom. If the gradient has been constructed successfully, there will be three distinct layers with no mixing at the interfaces.</li>
	</ol>
	</li>
</ol>
5. Adding Prepared Cells to Gradients and Separation by Centrifugation
<ol>
	<li>Add 600 &#181;L of prepared cells from step 3.3 to the top of the gradient in the tube very slowly and without mixing the interface, as described in step 2.2.</li>
	<li>Place the tubes in tube adapters and weigh the combined adapters and tubes to ensure they are balanced.
	<ol>
		<li>Place the tube adapters in a fixed angle rotor within a bench-top centrifuge. Centrifuge for 30 min at 3,000 x g.</li>
		<li>After centrifugation, carefully remove the tubes, place them in a suitable rack, and photograph the results as a record.</li>
	</ol>
	</li>
	<li>Recover the bacterial fractions for uronic acid quantification or DNA extraction by following step 6.
	<ol>
		<li>If downstream applications are not required, dispose of the samples/gradients via the appropriate liquid biological waste route in the laboratory. 
		NOTE: It is important to validate the separation for new species/strains of bacteria. Individual fractions from the gradient should be examined by microscopy, by uronic acid assay (step 8), or another suitable quantitative assay to confirm the capsule phenotype of each fraction. If the aim is to separate based on aggregation or cell size, independent appropriate assays should be used.</li>
	</ol>
	</li>
</ol>
6. Recovering Sample Fractions and Optional Outgrowth Step
<ol>
	<li>Recover the fractions from a gradient by removing and discarding any liquid from the top dilution if no bacterial fraction is present within that layer.
	<ol>
		<li>To remove the top fraction, use a P200 pipette and gently pass the pipette tip through the gradient to the fraction, and take up the fraction. Place the fraction into a 1.5 mL tube and label appropriately.</li>
		<li>To recover further fractions, still using the P200 pipette, insert the tip gently through the gradient to the fraction and recover the fraction to a fresh 1.5 mL tube. Remove excess gradient as the fractions lower down the gradient are accessed.</li>
		<li>If DNA extraction from a fraction containing very low cell numbers is required (e.g., for density-TraDISort), subculture the fraction by following the protocol from step 6.2 for optional outgrowth to obtain more cells. 
		NOTE: There will be a low level of carryover from cells at the top of the gradient into lower fractions, as fractions are removed from top to bottom. Minimize this by working carefully so as not to mix the gradient, by using a needle to remove lower fractions, and by performing re-purification of very low abundance samples where carryover may affect results.</li>
	</ol>
	</li>
	<li>Transfer cells from the low-abundance fraction recovered in steps 6.1.1&#8211;6.1.2 into 5 mL of appropriate liquid media. Place in an incubator and grow for 2 h at 37 &#176;C.
	<ol>
		<li>After 2 h of growth or when the sample has reached an OD600 of 1, transfer the culture to a 15 mL tube. Centrifuge the tube for 10 min at 3,200 x g in a centrifuge with swing out buckets and aerosol tight lids. Discard the supernatant</li>
		<li>Resuspend the cell pellet in 1 mL of 1x PBS.</li>
	</ol>
	</li>
	<li>Prepare a fresh single-concentration density gradient in a 5 mL polypropylene tube. Use the gradient concentration from just above the location of the fraction in the original gradient (e.g., for purification of the &#916;slyA mutant shown in Figure 2D, 15% density gradient medium would be used). 
	NOTE: This re-purification step is optional.
	<ol>
		<li>Apply the cells to the top of the gradient and centrifuge as described in steps 2.2 and 5.1.</li>
		<li>Remove the tubes from the centrifuge and place in an appropriate rack. Photograph the gradient and recover the fraction for DNA extraction as described in 6.1&#8211;6.1.2. 
		NOTE: The sample is now ready for DNA extraction or other downstream applications.</li>
	</ol>
	</li>
</ol>
7. Alternative Method for Gradient Preparation from Bottom (Most Concentrated) to Top (Least Concentrated) Using a Pipette
<ol>
	<li>Use the gradient dilutions determined in step 2.2.3. Using a 1,000 &#181;L pipette, add 1 mL of the densest gradient dilution to a 5 mL tube.
	<ol>
		<li>Using a 200 &#181;L pipette, add 200 &#181;L of the next dense gradient dilution very slowly to the top of the layer in the tube, so as not to mix the interface. Add another 200 &#181;L and then the final 600 &#181;L. Adding multiple smaller volumes gives more control over pipetting speed and prevents mixing of the interface. If the interface mixes, discard and start again.</li>
		<li>Repeat step 7.1.1 with the third, least dense gradient concentration if three dilutions are being used. The tube should now have gradients of either 2 mL or 3 mL depending on the results from step 2.2.3.</li>
		<li>Go to step 5 of the protocol to add cells and continue the experiment.</li>
	</ol>
	</li>
</ol>
8. Measurement of Capsule Amount by Uronic Acid Assay
<ol>
	<li>Adjust the OD600 of each recovered fraction to 4.0 by dilution with PBS. Proceed with quantification of uronic acids as previously published1.</li>
</ol>

<ol>
	<li>Favre-Bont&#233;, S., Licht, T. R., Forestier, C., Krogfelt, K. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Klebsiella+pneumoniae+capsule+expression+is+necessary+for+colonization+of+large+intestines+of+streptomycin-treated+mice.">Klebsiella pneumoniae capsule expression is necessary for colonization of large intestines of streptomycin-treated mice.</a> Infection and Immunity. 67 (11), 6152-6156 (1999).</li><li>Bachman, M. A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Genome-wide+identification+of+Klebsiella+pneumoniae+fitness+genes+during+lung+infection.">Genome-wide identification of Klebsiella pneumoniae fitness genes during lung infection.</a> mBio. 6 (3), 1-9 (2015).</li><li>Paczosa, M. K., Mecsas, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Klebsiella+pneumoniae:+Going+on+the+offense+with+a+strong+defense.">Klebsiella pneumoniae: Going on the offense with a strong defense.</a> Microbiology and Molecular Biology Reviews : MMBR. 80 (3), 629-661 (2016).</li><li>Shon, A. S., Bajwa, R. P. S., Russo, T. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Hypervirulent+(hypermucoviscous)+Klebsiella+pneumoniae.">Hypervirulent (hypermucoviscous) Klebsiella pneumoniae.</a> Virulence. 4 (2), 107-118 (2014).</li><li>Fang, C. -. T., Chuang, Y. -. P., Shun, C. -. T., Chang, S. -. C., Wang, J. -. T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+novel+virulence+gene+in+Klebsiella+pneumoniae.+strains+causing+primary+liver+abscess+and+septic+metastatic+complications.">A novel virulence gene in Klebsiella pneumoniae. strains causing primary liver abscess and septic metastatic complications.</a> The Journal of Experimental Medicine. 199 (5), 697-705 (2004).</li><li>Lai, Y. -. C., Peng, H. -. L., Chang, H. -. Y. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=RmpA2,+an+activator+of+capsule+biosynthesis+in+Klebsiella+pneumoniae+CG43,+regulates+K2+cps+gene+expression+at+the+transcriptional+level.">RmpA2, an activator of capsule biosynthesis in Klebsiella pneumoniae CG43, regulates K2 cps gene expression at the transcriptional level.</a> Journal of Bacteriology. 185 (3), 788-800 (2003).</li><li>Menck, K., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Isolation+of+human+monocytes+by+double+gradient+centrifugation+and+their+differentiation+to+macrophages+in+Teflon-coated+cell+culture+bags.">Isolation of human monocytes by double gradient centrifugation and their differentiation to macrophages in Teflon-coated cell culture bags.</a> Journal of Visualized Experiments. (91), 1-10 (2014).</li><li>Dorman, M. 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M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Genome+sequencing+and+comparative+analysis+of+Klebsiellapneumoniae.+NTUH-K2044,+a+strain+causing+liver+abscess+and+meningitis.">Genome sequencing and comparative analysis of Klebsiellapneumoniae. NTUH-K2044, a strain causing liver abscess and meningitis.</a> Journal of Bacteriology. 191 (14), 4492-4501 (2009).</li><li>Broberg, C. A., Wu, W., Cavalcoli, J. D., Miller, V. L., Bachman, M. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Complete+genome+sequence+of+Klebsiellapneumoniae.+Strain+ATCC+43816+KPPR1,+a+rifampin-resistant+mutant+commonly+used+in+animal,+genetic,+and+molecular+biology+studies.">Complete genome sequence of Klebsiellapneumoniae. Strain ATCC 43816 KPPR1, a rifampin-resistant mutant commonly used in animal, genetic, and molecular biology studies.</a> Genome Announcements. 2 (5), (2014).</li><li>Croucher, N. J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Role+of+conjugative+elements+in+the+evolution+of+the+multidrug-resistant+pandemic+clone+Streptococcuspneumoniae+Spain23F+ST81.">Role of conjugative elements in the evolution of the multidrug-resistant pandemic clone Streptococcuspneumoniae Spain23F ST81.</a> Journal of Bacteriology. 191 (5), 1480-1489 (2009).</li><li>Croucher, N. 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The authors have no financial interests to disclose.

Capsule is an important virulence factor in many bacterial species including K. pneumoniae3, Streptococcus pneumoniae9, Acinetobacter10, and Neisseria11 species. Although various methods exist for quantification and visualization of bacterial capsules, at present there is no widely used method to physically separate capsulated and non-capsulated cells. In this article, we have demonstrated a robust method for capsule-based separation of bacterial populations, with multiple potential applications in conjunction with different upstream or downstream protocols.
The presence of a surface capsule can reduce bacterial cell density, which allows separation by density gradient centrifugation (Figure 2D). We have validated this method in K. pneumoniae NTUH-K204412 and ATCC4381613 as well as in Streptococcus pneumoniae 23F14 and its &#916;cps mutant15. This method uses Percoll16 as the main constituent of the density gradient, which is a suspension of coated colloidal silica particles that has low viscosity and no toxicity towards bacteria - in principle, other substances meeting these criteria could be used to establish the density gradient.
It can be challenging to ensure that layers of different density do not mix when constructing density gradients, and if mixing does occur, the separation method will not give clean results. We have included two alternative methods for pouring the gradients, using a needle or a pipette &#8212; both are effective, and which method to use is simply a matter of preference. For all steps that involve pipetting a substance (either a bacterial suspension, or a more dilute gradient layer) above a gradient layer, pipetting multiple aliquots of smaller volumes can make it easier to achieve a sharp interface without any mixing of layers.
A limitation of this protocol is that its performance with other bacterial species cannot be guaranteed. Therefore, it is critical when examining a new bacterial species or strain to validate the density-based separation using an additional, independent capsule quantification method. Visualizing the bacteria present in each fraction by microscopy with appropriate capsule stains is a reliable method for which detailed protocols are available17. Alternatively, capsules containing uronic acids (such as those of Escherichia coli and K. pneumoniae) can be quantified by a specific assay as shown in Figure 2B1. The centrifugation-based mucoviscosity test is not suitable as an independent validation method, as this assay also depends on the density of the bacterial cells.
Another limitation of this method is that capsule production is very sensitive to culture conditions, and even small changes to growth medium, temperature, or aeration may affect the results of this assay. To minimize this issue, researchers can use a defined growth medium or a batch-consistent complex medium, keep all other growth parameters identical between experiments, and include appropriate control strains to enable the interpretation of unexpected results. Some bacterial capsules are fragile and can shear away from the cell when cultures are pipetted. To avoid the shearing of capsules, cultures should be centrifuged and resuspended no more than twice during preparation for loading on the gradient. If loss of capsule during concentration of the cultures remains problematic, bacterial cultures can be applied to a density gradient directly, with a larger volume of bacterial suspension added if necessary for visualization.
Future applications of this method are to apply it to other bacterial species, and to use this separation in conjunction with different upstream and downstream technologies. In addition to density-TraDISort8, we suggest that density gradient separation of capsulated bacteria could be used for isolation of mutants with altered capsule, for purification of capsulated cells from mixed cultures or complex samples, and for rapid profiling of capsule production in multiple strains. Finally, this technology could be used to examine other bacterial phenotypes such as aggregation.

Many bacterial species produce a polysaccharide capsule, which protects the bacterial cell from various physical stresses and from recognition and killing by the immune system. In Klebsiella pneumoniae, capsule production is an absolute requirement for infection1,2. K. pneumoniae capsule mediates resistance to antimicrobial peptides, resistance to complement-mediated killing, prevention of phagocytosis, and suppression of the innate immune response3. Excess capsule production is associated with increased virulence and community-acquired (rather than nosocomial) infections4.
A range of quantitative and qualitative tests are available to investigate capsule production. For Klebsiella species, these include the string test5, in which a toothpick touched to a colony is pulled upwards and the length of the string produced measured, and the mucoviscosity assay6, which involves the slow centrifugation of a culture followed by measuring the optical density of the supernatant. These methods are simple and quick, but lack sensitivity when used on classical Klebsiella strains rather than capsule overproducing strains. Another method of capsule quantification is the uronic acid assay, which is technically challenging and requires the use of concentrated sulfuric acid1. Finally, capsule is visible directly by microscopy (Figure 1A). Of these methods, only microscopy allows the user to observe different capsulation states within a single population, and none of these methods enables the physical separation of capsulated and non-capsulated bacteria.
Density-based separations by gradient centrifugation are routinely used in cell biology to purify different eukaryotic cell types7, but are rarely used in microbiological research. The mucoviscosity assay for Klebsiella is based on the observation that highly capsulated bacteria take more time to pellet by centrifugation, and we reasoned that this may be due to reduced overall density of capsulated cells. The method shown here was developed to separate K. pneumoniae populations physically by capsule amount, using density gradient centrifugation (Figure 1). This method was applied successfully to Streptococcus pneumoniae, indicating that it is applicable to other bacterial species. Density-gradient separation of a saturated transposon mutant library coupled with transposon-insertion sequencing (density-TraDISort) has been used to identify genes involved in the capsule production and regulation8. Similarly, this method was used in conjunction with random-prime polymerase chain reaction (PCR) of individual colonies to isolate non-capsulated K. pneumoniae mutants. This method can also be used for rapid comparisons of capsule production between different populations and conditions, or to purify capsulated bacteria from complex samples (Figure 1B). Finally, there is the option to assay other phenotypes that affect density, such as cell size or aggregation.
This manuscript demonstrates how to optimize the procedure for a new bacterial species or strain and demonstrates the construction and running of a discontinuous density gradient to separate hyper-capsulated, capsulated and non-capsulated bacteria.

<table border="0" cellpadding="0" cellspacing="0" style="width:949px;" width="950">
	<colgroup>
		<col />
		<col />
		<col />
		<col />
	</colgroup>
	<tbody>
		<tr height="21">
			<td height="21" style="height:21px;width:375px;">Percoll</td>
			<td style="width:161px;">GE Healthcare</td>
			<td style="width:163px;">17-0891-01</td>
			<td style="width:251px;"></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Centrifuge 5810R with Rotor A-4-81 and 500ml buckets</td>
			<td>Eppendorf</td>
			<td>5810 718.007</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Adapters for 15ml tubes</td>
			<td>Eppendorf</td>
			<td>5810 722.004</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Fixed andgle rotor F-34-6-38</td>
			<td>Eppendorf</td>
			<td>5804 727.002</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">2.6 - 7ml tube adapter</td>
			<td>Eppendorf</td>
			<td>5804 739.000</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Centrifuge 5424 including Rotor FA-45-24-11</td>
			<td>Eppendorf</td>
			<td>5424 000.460</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">2ml tubes</td>
			<td>Eppendorf</td>
			<td>0030 120.094</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">1.5ml tubes</td>
			<td>Eppendorf</td>
			<td>0030 120.086</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">5ml polypropylene round bottom tube</td>
			<td>Falcon</td>
			<td>352063</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">1ml disposable syringe Luer slip</td>
			<td>Becton Dickinson</td>
			<td>300013</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">AGANI Needle 21G Green x 1.5&#34;</td>
			<td>Terumo</td>
			<td>AN 2138R1</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:375px;">P1000 pipette and tips</td>
			<td style="width:161px;"></td>
			<td style="width:163px;"></td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:375px;">P200 pipette and tips</td>
			<td style="width:161px;"></td>
			<td style="width:163px;"></td>
			<td></td>
		</tr>
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</table>

separating bacteria by capsule amount using a discontinuous density gradient

Capsule is a key virulence factor in many bacterial species, mediating immune evasion and resistance to various physical stresses. While many methods are available to quantify and compare capsule production between different strains or mutants, there is no widely used method for sorting bacteria based on how much capsule they produce. We have developed a method to separate bacteria by capsule amount, using a discontinuous density gradient. This method is used to compare capsule amounts semi-quantitatively between cultures, to isolate mutants with altered capsule production, and to purify capsulated bacteria from complex samples. This method can also be coupled with transposon-insertion sequencing to identify genes involved in capsule regulation. Here, the method is demonstrated in detail, including how to optimize the gradient conditions for a new bacterial species or strain, and how to construct and run the density gradient.

Representative results are shown in Figure 2. The exact result to expect will depend on the bacterial species, the set-up of the density gradients, and whether the user is examining a single strain or a pool of mutants. Most strains will migrate to a single location within a gradient, as shown in Figure&#160;2A and 2D. Applying the method to a bacterial mutant library will give rise to a major band above the gradient, a less dense band distributed through the uppermost layer of the gradient, and a minor acapsular fraction at the bottom (Figure 2B). These fractions differ in capsule amount as shown by an assay for uronic acids (Figure 2B). Transposon insertion sequencing of individual fractions results in clear localization of specific mutants within different gradient fractions, as shown for the capsule biosynthesis locus of K. pneumoniae ATCC43816 (Figure 2C). Representative results for pure cultures of K. pneumoniae NTUH-K2044 and S. pneumoniae, and different capsule biosynthesis or regulatory mutants, are shown in Figure 2D.
<img alt="Figure 1" class="xfigimg" src="/files/ftp_upload/58679/58679fig1.jpg" /> 
Figure 1: Schematic of the density centrifugation method to separate bacteria based on capsule, and its applications. (A) An electron microscopy image of a capsulated Klebsiella pneumoniae cell. The capsule is visible as a dense layer on the outside of the cell. (B) Applications of density centrifugation to the study of capsulated bacteria. (Bi) Density separation can be used to generate high-, low-, and no-capsule fractions of a transposon mutant library and followed by transposon insertion sequencing to define genes that influence capsule production. (Bii) Purification of capsulated bacteria from a complex sample. (Biii) Use of density-based separation for rapid comparisons of capsule amount between samples. This method also allows the visualization of heterogenous capsule production in bacterial populations, as shown in (Biii). <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/58679/58679fig1large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 2" class="xfigimg" src="/files/ftp_upload/58679/58679fig2.jpg" /> 
Figure 2: Representative results. (A) Example of the output from mini-gradient tests. Two different K. pneumoniae strains were centrifuged on 1 mL of 15% density gradient medium. The hypermucoviscous NTUH-K2044 strain is retained above the density gradient medium layer, while ATCC43816 (which makes less capsule) migrates to the bottom of the layer. (Bi) Use of a density gradient to separate a transposon mutant library into three fractions. Note that the bottom fraction contains a low proportion of mutants and is not visible on this picture. (Bii) Validation of different capsule amounts in the top, middle, and bottom fractions using an assay for uronic acids. Cells from the top, middle, and outgrown bottom fractions were isolated and resuspended in PBS to an OD600 of 4, then capsule polysaccharides extracted and uronic acids measured1. (C) Example density-TraDISort results. Mutation locations identified are shown by blue lines above the chromosome diagram. Mutants lacking capsule can be identified as those that are present in the input library but are depleted in the top fraction while being enriched in the bottom fraction, as shown here for the capsule biosynthesis locus8. (D) An example of using density gradient centrifugation to compare capsule amount between wild type and mutant strains of K. pneumoniae NTUH-K2044 and S. pneumoniae 23F. <a href="https://www-jove-com.remotexs.ntu.edu.sg/files/ftp_upload/58679/58679fig2large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>

Watch this Scientific Journal Video about Separating Bacteria by Capsule Amount Using a Discontinuous Density Gradient at JoVE.com

Separating Bacteria by Capsule Amount Using a Discontinuous Density Gradient

We demonstrate the use of discontinuous density gradients to separate bacterial populations based on capsule production. This method is used to compare capsule amount between cultures, isolate mutants with a specific capsule phenotype, or to identify capsule regulators. Described here is the optimization and running of the assay.

Capsule is a key virulence factor in many bacterial species, mediating immune evasion and resistance to various physical stresses. While many methods are ...

separating-bacteria-capsule-amount-using-discontinuous-density

Nanyang Technological University

Research

JoVE Journal

Genetics

13.8K Views.  Wellcome Sanger Institute, Wellcome Genome Campus. We demonstrate the use of discontinuous density gradients to separate bacterial populations based on capsule production. This method is used to compare capsule amount between cultures, isolate mutants with a specific capsule phenotype, or to identify capsule regulators. Described here is the optimization and running of the assay.

Video: Separating Bacteria by Capsule Amount Using a Discontinuous Density Gradient

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 for characterizing the evolutionary pathway of antibiotic resistance. The morbidostat is a bacterial culture device that continuously monitors bacterial growth and dynamically adjusts the drug concentration to constantly challenge the bacteria as they evolve to acquire drug resistance. The device features a working volume of ~10 ml and is fully automated and equipped with optical density measurement and micro-pumps for medium and drug delivery. To validate the platform, we measured the stepwise acquisition of trimethoprim resistance in Escherichia coli MG 1655, and integrated the device with a multiplexed microfluidic platform to investigate cell morphology and antibiotic susceptibility. The approach can be up-scaled to laboratory studies of antibiotic drug resistance, and is extendible to adaptive evolution for strain improvements in metabolic engineering and other bacterial culture experiments.

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.

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

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.

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

Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen

Knowing how RNAs interact with themselves and with others is key to understanding RNA based gene regulation in the cell. While examples of RNA-RNA interactions such as microRNA-mRNA interactions have been shown to regulate gene expression, the full extent to which RNA interactions occur in the cell is still unknown. Previous methods to study RNA interactions have primarily focused on subsets of RNAs that are interacting with a particular protein or RNA species. Here, we detail a method named Sequencing of Psoralen crosslinked, Ligated, and Selected Hybrids (SPLASH) that allows genome-wide capture of RNA interactions in vivo in an unbiased manner. SPLASH utilizes in vivo crosslinking, proximity ligation, and high throughput sequencing to identify intramolecular and intermolecular RNA base-pairing partners globally. SPLASH can be applied to different organisms including bacteria, yeast and human cells, as well as diverse cellular conditions to facilitate the understanding of the dynamics of RNA organization under diverse cellular contexts. The entire experimental SPLASH protocol takes about 5 days to complete and the computational workflow takes about 7 days to complete.

Here, we detail the method of Sequencing of Psoralen crosslinked, Ligated, and Selected Hybrids (SPLASH), which enables genome-wide mapping of intramolecular and intermolecular RNA-RNA interactions in vivo. SPLASH can be applied to study RNA interactomes of organisms including yeast, bacteria and humans.

Knowing how RNAs interact with themselves and with others is key to understanding RNA based gene regulation in the cell. While examples of RNA-RNA ...

Generation of Native Chromatin Immunoprecipitation Sequencing Libraries for Nucleosome Density Analysis

We present a modified native chromatin immunoprecipitation sequencing (ChIP-seq) experimental protocol compatible with a Gaussian mixture distribution based analysis methodology (nucleosome density ChIP-seq; ndChIP-seq) that enables the generation of combined measurements of micrococcal nuclease (MNase) accessibility with histone modification genome-wide. Nucleosome position and local density, and the posttranslational modification of their histone subunits, act in concert to regulate local transcription states. Combinatorial measurements of nucleosome accessibility with histone modification generated by ndChIP-seq allows for the simultaneous interrogation of these features. The ndChIP-seq methodology is applicable to small numbers of primary cells inaccessible to cross-linking based ChIP-seq protocols. Taken together, ndChIP-seq enables the measurement of histone modification in combination with local nucleosome density to obtain new insights into shared mechanisms that regulate RNA transcription within rare primary cell populations.

We present a modified native chromatin immunoprecipitation sequencing (ChIP-seq) methodology for the generation of sequence datasets suitable for a nucleosome density ChIP-seq analytical framework integrating micrococcal nuclease (MNase) accessibility with histone modification measurements.

We present a modified native chromatin immunoprecipitation sequencing (ChIP-seq) experimental protocol compatible with a Gaussian mixture distribution ...

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Although antimicrobial drugs have dramatically increased the lifespan and quality of life in the 20th century, antimicrobial resistance threatens our entire society's ability to treat systemic infections. In the United States alone, antibiotic-resistant infections kill approximately 23,000 people a year and cost around 20 billion USD in additional healthcare. One approach to combat antimicrobial resistance is combination therapy, which is particularly useful in the critical early stage of infection, before the infecting organism and its drug resistance profile have been identified. Many antimicrobial treatments use combination therapies. However, most of these combinations are additive, meaning that the combined efficacy is the same as the sum of the individual antibiotic efficacy. Some combination therapies are synergistic: the combined efficacy is much greater than additive. Synergistic combinations are particularly useful because they can inhibit the growth of antimicrobial drug resistant strains. However, these combinations are rare and difficult to identify. This is due to the sheer number of molecules needed to be tested in a pairwise manner: a library of 1,000 molecules has 1 million potential combinations. Thus, efforts have been made to predict molecules for synergy. This article describes our high-throughput method for predicting synergistic small molecule pairs known as the Overlap2 Method (O2M). O2M uses patterns from chemical-genetic datasets to identify mutants that are hypersensitive to each molecule in a synergistic pair but not to other molecules. The Brown lab exploits this growth difference by performing a high-throughput screen for molecules that inhibit the growth of mutant but not wild-type cells. The lab's work previously identified molecules that synergize with the antibiotic trimethoprim and the antifungal drug fluconazole using this strategy. Here, the authors present a method to screen for novel synergistic combinations, which can be altered for multiple microorganisms.

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Synergistic drug combinations are difficult and time-consuming to identify empirically. Here, we describe a method for identifying and validating synergistic small molecules.

Although antimicrobial drugs have dramatically increased the lifespan and quality of life in the 20th century, antimicrobial resistance threatens our ...

Endogenous Protein Tagging in Human Induced Pluripotent Stem Cells Using CRISPR/Cas9

A protocol is presented for generating human induced pluripotent stem cells (hiPSCs) that express endogenous proteins fused to in-frame&#160;N- or C-terminal fluorescent tags. The prokaryotic CRISPR/Cas9 system (clustered regularly interspaced short palindromic repeats/CRISPR-associated 9) may be used to introduce large exogenous sequences into genomic loci via homology directed repair (HDR). To achieve the desired knock-in, this protocol employs the ribonucleoprotein (RNP)-based approach where wild type Streptococcus pyogenes Cas9 protein, synthetic 2-part guide RNA (gRNA), and a donor template plasmid are delivered to the cells via electroporation. Putatively edited cells expressing the fluorescently tagged proteins are enriched by fluorescence activated cell sorting (FACS). Clonal lines are then generated and can be analyzed for precise editing outcomes. By introducing the fluorescent tag at the genomic locus of the gene of interest, the resulting subcellular localization and dynamics of the fusion protein can be studied under endogenous regulatory control, a key improvement over conventional overexpression systems. The use of hiPSCs as a model system for gene tagging provides the opportunity to study the tagged proteins in diploid, nontransformed cells. Since hiPSCs can be differentiated into multiple cell types, this approach provides the opportunity to create and study tagged proteins in a variety of isogenic cellular contexts.

Described here is a protocol for tagging endogenously expressed proteins with fluorescent tags in human induced pluripotent stem cells using CRISPR/Cas9. Putatively edited cells are enriched by fluorescence activated cell sorting and clonal cell lines are generated.

A protocol is presented for generating human induced pluripotent stem cells (hiPSCs) that express endogenous proteins fused to in-frame&#160;N- or ...

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.

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

An Assay for Quantifying Protein-RNA Binding in Bacteria

In the initiation step of protein translation, the ribosome binds to the initiation region of the mRNA. Translation initiation can be blocked by binding of an RNA binding protein (RBP) to the initiation region of the mRNA, which interferes with ribosome binding. In the presented method, we utilize this blocking phenomenon to quantify the binding affinity of RBPs to their cognate and non-cognate binding sites. To do this, we insert a test binding site in the initiation region of a reporter mRNA and induce the expression of the test RBP. In the case of RBP-RNA binding, we observed a sigmoidal repression of the reporter expression as a function of RBP concentration. In the case of no-affinity or very low affinity between binding site and RBP, no significant repression was observed. The method is carried out in live bacterial cells, and does not require expensive or sophisticated machinery. It is useful for quantifying and comparing between the binding affinities of different RBPs that are functional in bacteria to a set of designed binding sites. This method may be inappropriate for binding sites with high structural complexity. This is due to the possibility of repression of ribosomal initiation by complex mRNA structure in the absence of RBP, which would result in lower basal reporter gene expression, and thus less-observable reporter repression upon RBP binding.

In this method, we quantify the binding affinity of RNA binding proteins (RBPs) to cognate and non-cognate binding sites using a simple, live, reporter assay in bacterial cells. The assay is based on repression of a reporter gene.

In the initiation step of protein translation, the ribosome binds to the initiation region of the mRNA. Translation initiation can be blocked by binding ...

High-Density DNA and RNA microarrays - Photolithographic Synthesis, Hybridization and Preparation of Large Nucleic Acid Libraries

Photolithography is a powerful technique for the synthesis of DNA oligonucleotides on glass slides, as it combines the efficiency of phosphoramidite coupling reactions with the precision and density of UV light reflected from micrometer-sized mirrors. Photolithography yields microarrays that can accommodate from hundreds of thousands up to several million different DNA sequences, 100-nt or longer, in only a few hours. With this very large sequence space, microarrays are ideal platforms for exploring the mechanisms of nucleic acid&#183;ligand interactions, which are particularly relevant in the case of RNA. We recently reported on the preparation of a new set of RNA phosphoramidites compatible with in situ photolithography and which were subsequently used to grow RNA oligonucleotides, homopolymers as well as mixed-base sequences. Here, we illustrate in detail the process of RNA microarray fabrication, from the experimental design, to instrumental setup, array synthesis, deprotection and final hybridization assay using a template 25mer sequence containing all four bases as an example. In parallel, we go beyond hybridization-based experiments and exploit microarray photolithography as an inexpensive gateway to complex nucleic acid libraries. To do so, high-density DNA microarrays are fabricated on a base-sensitive monomer that allows the DNA to be conveniently cleaved and retrieved after synthesis and deprotection. The fabrication protocol is optimized so as to limit the number of synthetic errors and to that effect, a layer of &#946;-carotene solution is introduced to absorb UV photons that may otherwise reflect back onto the synthesis substrates. We describe in a step-by-step manner the complete process of library preparation, from design to cleavage and quantification.

In this article, we present and discuss new developments in the synthesis and applications of nucleic acid microarrays fabricated in situ. Specifically, we show how the protocols for DNA synthesis can be extended to RNA and how microarrays can be used to create retrievable nucleic acid libraries.

Photolithography is a powerful technique for the synthesis of DNA oligonucleotides on glass slides, as it combines the efficiency of phosphoramidite ...

Transforming, Genome Editing and Phenotyping the Nitrogen-fixing Tropical Cannabaceae Tree Parasponia andersonii

Parasponia andersonii is a fast-growing tropical tree that belongs to the Cannabis family (Cannabaceae). Together with 4 additional species, it forms the only known non-legume lineage able to establish a nitrogen-fixing nodule symbiosis with rhizobium. Comparative studies between legumes and P. andersonii could provide valuable insight into the genetic networks underlying root nodule formation. To facilitate comparative studies, we recently sequenced the P. andersonii genome and established Agrobacterium tumefaciens-mediated stable transformation and CRISPR/Cas9-based genome editing. Here, we provide a detailed description of the transformation and genome editing procedures developed for P. andersonii. In addition, we describe procedures for the seed germination and characterization of symbiotic phenotypes. Using this protocol, stable transgenic mutant lines can be generated in a period of 2-3 months. Vegetative in vitro propagation of T0 transgenic lines allows phenotyping experiments to be initiated at 4 months after A. tumefaciens co-cultivation. Therefore, this protocol takes only marginally longer than the transient Agrobacterium rhizogenes-based root transformation method available for P. andersonii, though offers several clear advantages. Together, the procedures described here permit P. andersonii to be used as a research model for studies aimed at understanding symbiotic associations as well as potentially other aspects of the biology of this tropical tree.

Transforming, Genome Editing and Phenotyping the Nitrogen-fixing Tropical Cannabaceae Tree Parasponia andersonii

Parasponia andersonii is a fast-growing tropical tree that belongs to the Cannabis family (Cannabaceae) and can form nitrogen-fixing root nodules in association with the rhizobium. Here, we describe a detailed protocol for reverse genetic analyses in P. andersonii based on Agrobacterium tumefaciens-mediated stable transformation and CRISPR/Cas9-based genome editing.

Parasponia andersonii is a fast-growing tropical tree that belongs to the Cannabis family (Cannabaceae). Together with 4 additional species, it forms the ...

Separating Bacteria by Capsule Amount Using a Discontinuous Density Gradient

Summary

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Chapters in this video

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

Procedure for Adaptive Laboratory Evolution of Microorganisms Using a Chemostat

Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen

Generation of Native Chromatin Immunoprecipitation Sequencing Libraries for Nucleosome Density Analysis

High-throughput Identification of Synergistic Drug Combinations by the Overlap² Method

Endogenous Protein Tagging in Human Induced Pluripotent Stem Cells Using CRISPR/Cas9

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

An Assay for Quantifying Protein-RNA Binding in Bacteria

High-Density DNA and RNA microarrays - Photolithographic Synthesis, Hybridization and Preparation of Large Nucleic Acid Libraries

Transforming, Genome Editing and Phenotyping the Nitrogen-fixing Tropical Cannabaceae Tree Parasponia andersonii