This work was supported by an Avenir/ATIP grant to Matteo Bonazzi and a Marie Curie CIG (N&#176; 293731) to Eric Martinez. The authors would like to thank Dr. Robert Heinzen for sharing C. burnetii strains, antibodies and tools, Virginie Georget and Sylvain DeRossi (Montpellier Rio Imaging-MRI, 1919 route de Mende, 34293 Montpellier) for their technical assistance and data analysis.

<ol>
	<li>Maurin, M., Raoult, D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Q+fever.">Q fever.</a> Clinical microbiology reviews. 12 (4), 518-553 (1999).</li><li>Kim, S. G., Kim, E. H., Lafferty, C. J., Dubovi, E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Coxiella+burnetii.+in+bulk+tank+milk+samples,+United+States.">Coxiella burnetii. in bulk tank milk samples, United States.</a> Emerging infectious diseases. 11, 619-621 (2005).</li><li>Kazar, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Coxiella+burnetii.+infection.">Coxiella burnetii. infection.</a> Annals of the New York Academy of Sciences. 1063, 105-114 (2005).</li><li>Madariaga, M. G., Rezai, K., Trenholme, G. M., Weinstein, R. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Q+fever:+a+biological+weapon+in+your+backyard.">Q fever: a biological weapon in your backyard.</a> The Lancet infectious diseases. 3, 709-721 (2003).</li><li>Der Hoek, W. V. a. n., 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=Epidemic+Q+fever+in+humans+in+the+Netherlands.">Epidemic Q fever in humans in the Netherlands.</a> Advances in Experimental Medicine and Biology. 984, 329-364 (2012).</li><li>Capo, C., 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=Subversion+of+monocyte+functions+by+Coxiella+burnetii.:+impairment+of+the+cross-talk+between+alphavbeta3+integrin+and+CR3.">Subversion of monocyte functions by Coxiella burnetii.: impairment of the cross-talk between alphavbeta3 integrin and CR3.</a> Journal of immunology. 163 (11), 6078-6085 (1999).</li><li>Martinez, E., Cantet, F., Fava, L., Norville, I., Bonazzi, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Identification+of+OmpA,+a+Coxiella+burnetii.+protein+involved+in+host+cell+invasion,+by+multi-phenotypic+high-content+screening.">Identification of OmpA, a Coxiella burnetii. protein involved in host cell invasion, by multi-phenotypic high-content screening.</a> PLoS pathogens. 10 (3), e1004013 (2014).</li><li>Romano, P. S., Gutierrez, M. G., Ber&#243;n, W., Rabinovitch, M., Colombo, M. I. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+autophagic+pathway+is+actively+modulated+by+phase+II+Coxiella+burnetii.+to+efficiently+replicate+in+the+host+cell.">The autophagic pathway is actively modulated by phase II Coxiella burnetii. to efficiently replicate in the host cell.</a> Cellular microbiology. 9 (4), 891-909 (2007).</li><li>Newton, H. J., Mcdonough, J. a., Roy, C. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Effector+protein+translocation+by+the+Coxiella+burnetii.+Dot/Icm+type+IV+secretion+system+requires+endocytic+maturation+of+the+pathogen-occupied+vacuole.">Effector protein translocation by the Coxiella burnetii. Dot/Icm type IV secretion system requires endocytic maturation of the pathogen-occupied vacuole.</a> PloS one. 8 (1), e54566 (2013).</li><li>Vogel, J. P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Turning+a+tiger+into+a+house+cat:+using+Legionella+pneumophila.+to+study+Coxiella+burnetii..">Turning a tiger into a house cat: using Legionella pneumophila. to study Coxiella burnetii..</a> Trends in microbiology. 12 (3), 103-105 (2004).</li><li>Van Schaik, E. J., Chen, C., Mertens, K., Weber, M. M., Samuel, J. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Molecular+pathogenesis+of+the+obligate+intracellular+bacterium+Coxiella+burnetii.">Molecular pathogenesis of the obligate intracellular bacterium Coxiella burnetii.</a> Nature reviews. Microbiology. 11, 561-573 (2013).</li><li>Beare, P. 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=Dot/Icm+type+IVB+secretion+system+requirements+for+Coxiella+burnetii+growth+in+human+macrophages.">Dot/Icm type IVB secretion system requirements for Coxiella burnetii growth in human macrophages.</a> mBio. 2, (2011).</li><li>Omsland, 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=Isolation+from+animal+tissue+and+genetic+transformation+of+Coxiella+burnetii.+are+facilitated+by+an+improved+axenic+growth+medium.">Isolation from animal tissue and genetic transformation of Coxiella burnetii. are facilitated by an improved axenic growth medium.</a> Applied and environmental microbiology. 77 (11), 3720-3725 (2011).</li><li>Beare, P. a., Sandoz, K. M., Omsland, A., Rockey, D. D., Heinzen, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=a+Advances+in+genetic+manipulation+of+obligate+intracellular+bacterial+pathogens.">a Advances in genetic manipulation of obligate intracellular bacterial pathogens.</a> Frontiers in microbiology. 2 (May), 97 (2011).</li><li>Brodin, P., Christophe, T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=High-content+screening+in+infectious+diseases.">High-content screening in infectious diseases.</a> Current opinion in chemical biology. 15 (4), 534-539 (2011).</li></ol>

The authors declare that they have no competing financial interests.

The study of host/pathogen interactions has proven to be a remarkable method to understand bacterial infections and develop alternative strategies to counter infectious diseases. However, due to the diversity of strategies elaborated by different bacterial pathogens, the identification and characterization of bacterial virulence factors and of the host signaling pathways that are targeted during infections represent a real challenge. This calls for the development of new approaches for the large-scale identification of key host/pathogen interaction hubs. The recent development of innovative, high-throughput and high-content screening techniques represents an invaluable resource that can be adapted to the study of intracellular bacterial pathogens15. Here, we have used the zoonotic bacterial pathogen Coxiella burnetii as a model to develop screening approaches that combine transposon mutagenesis and fluorescence-based assays. Importantly, this screening method allows the simultaneous monitoring of multiple steps of the Coxiella intracellular cycle, providing a global overview of the strategies developed by this bacterium to invade, replicate and persist within infected cells.
The approach described here is based on two well-established techniques, transposon mutagenesis and fluorescence-based assays, which have been successfully applied to the study of bacterial pathogens. Combining these techniques in the context of high-throughput/high-content screens allows us to evaluate the effects of a high number of bacterial mutations by analyzing a very high number of events (typically 15,000 infected cells per bacterial mutations are imaged and analyzed). This provides an important statistical analysis of events such as bacterial invasion of host cells and intracellular replication, which are, by nature, subject to high variability. It is important to note that cell lines other than epithelial can be used for this type of screening. However, flat and large epithelial cells are optimal for image analysis as host cell organelles are easier to detect. Because the majority of automated microscopes can automatically handle a large number of plates, there are virtually no limits to the number of mutants that can be screened simultaneously. Depending on the pathogen, the user can privilege the use of an epifluorescence or a confocal microscope. The time of image acquisition will mostly depend on the sensitivity of the microscope camera, on the number of fields acquired per well and on the number of channels acquired per field of view. The user can decide how to adjust these factors to optimize the screening protocol. As an example, we imaged one 96-well plate/hr using the conditions indicated at point 5.1. Image analysis largely depends on the machine (or cluster of machines) used. We use a 12-core (2 x 3.06 GHz 6-Core), 48 GB RAM workstation. This machine requires approximately 40 min to analyze images acquired from one plate.
An important aspect to be taken into account when developing these assays is the set up of new (or the optimization of existing) protocols to allow the manipulation and processing of a large number of samples. A typical example is the development of the single primer colony PCR approach, which allowed us to rapidly amplify and sequence Coxiella DNA fragments containing the site of insertion of each transposon, from very small samples. Based on our experience, the high-fidelity polymerase has to be carefully selected and tested in order to obtain reproducible results. The only limitation of this approach may hide in the observation that, in the majority of cases, about 30% of the processed samples are not exploitable, either due to the PCR or the sequencing steps. However, considering that the isolation of new Coxiella transposon mutants is not a rate-limiting step, this does not represent a major issue. Similarly, the development of a reliable assay to quantify the bacterial concentration of mutant stocks has been key for this approach. Due to the tendency of Coxiella to aggregate when in suspension, the use of optical density readings is not applicable to calculate the concentration of Coxiella cultures and the only existing alternative was quantitative PCR (qPCR). Here, the use of a fluorescently tagged DNA intercalating agent significantly speeded up bacteria quantitation.
This approach can also take advantage of the use of stable cell lines expressing fluorescent markers for several intracellular compartments depending on the pathogen used. Another important aspect is the use of cell culture media devoid of phenol red. We observed that this pH indicator has a natural fluorescence spanning the red and green spectrum that saturates the signal recorded on the automated fluorescence reader.
The strategy presented here relies on random transposon mutagenesis. For the mutants of interest, we recommend validating unique transpositions (and clonality) using Southern blot and PCR amplifications of the transposon insertion site.
Besides the equipment described in the protocol section, teams interested in using the screening approach presented here, will take great advantage in the set up of a relational database for data collection, a server for data storage and a workstation for rapid image analysis.
Importantly, the method here described is suited for the study of other intracellular bacterial pathogens provided a random mutagenesis method exists for the pathogen, cell lines can be infected by the pathogen and this one displays a specific phenotype during infection.

The emerging, endemic bacterium Coxiella burnetii is responsible for large outbreaks of Q fever, a debilitating flu-like zoonosis with severe health and economic impact1. The main reservoirs of Coxiella are domestic and farm animals, and it is estimated that more than 90% of dairy cattle in the US carry C. burnetii2. Humans are accidental hosts that are infected by inhalation of contaminated aerosols. Human Q fever manifests either as an acute or chronic disease, which may have fatal complications with a mortality rate reaching 65%1,3. With an infectious dose of 1 - 10 organisms, Coxiella is the most infectious pathogen known and it has been investigated as a potential bio weapon4. The recent explosive outbreak of Q fever in the Netherlands (2007 - 2010), with cases escalating from 182 to more than 2,000 per year, stands as an example of the severe virulence of this pathogen5.
The remarkable efficiency of Coxiella infections is likely associated with its resistance to environmental stress, combined with its unique adaptation to host cells. Indeed, Coxiella is present in the environment in the form of metabolically inactive small cell variants (SCV), which are remarkably resistant to several harsh conditions (desiccation, temperature, etc.). SCVs are up taken by phagocytic cells via &#945;V&#946;3 integrins6 while invasion of non-phagocytic cells is mediated by the Coxiella adhesion/invasion OmpA7 and a yet unidentified receptor. Following uptake, Coxiella resides in tight-fitting vacuoles, positive for the early endosomal markers Rab5 and EEA18. Bacteria respond to endosomal acidification by converting to metabolically active large cell variants (LCVs) and activating a Dot/Icm type 4 secretion system (T4SS)9, highly homologous to that of Legionella pneumophila10. The secretion of Dot/Icm effectors allow Coxiella to generate a large, LAMP1-positive acidic compartment containing active lysosomal enzymes where bacteria can thrive and actively protect infected cells from apoptosis11. Hence, the intracellular cycle of Coxiella is controlled by the Dot/Icm-mediated translocation of bacterial effectors12, however, the microbial factors involved in host cell invasion, bacterial replication and dissemination of the infection remain largely unknown.
Combining transposon mutagenesis and fluorescence-based assays, we are developing unbiased approaches for the simultaneous identification of bacterial factors involved in the main steps of Coxiella infections: 1) internalization within host cells, 2) intracellular replication, 3) cell-to-cell spread, and 4) persistence. To date, we have screened over 1,000 mutations in 500 Coxiella coding sequences, which provided us with unprecedented insights into the host-pathogen interactions that regulate Coxiella pathogenesis7. Of note, this approach can be applied to the study of other intracellular pathogens that share cell biology features with Coxiella.

<table border="0" cellpadding="0" cellspacing="0">
	<tbody>
		<tr>
			<td align="left">Citric acid</td>
			<td align="left">Sigma</td>
			<td>C0759-500G</td>
			<td align="left">ACCM-2 medium component</td>
		</tr>
		<tr>
			<td align="left">Sodium citrate</td>
			<td align="left">Sigma</td>
			<td>S4641-500G</td>
			<td align="left">ACCM-2 medium component</td>
		</tr>
		<tr>
			<td align="left">Potassium phosphate</td>
			<td align="left">Sigma</td>
			<td>60218-100G</td>
			<td align="left">ACCM-2 medium component</td>
		</tr>
		<tr>
			<td align="left">Magnesium chloride</td>
			<td align="left">Sigma</td>
			<td>M2670-100G</td>
			<td align="left">ACCM-2 medium component</td>
		</tr>
		<tr>
			<td align="left">Calcium chloride</td>
			<td align="left">Sigma</td>
			<td>C5080-500G</td>
			<td align="left">ACCM-2 medium component</td>
		</tr>
		<tr>
			<td align="left">Iron sulfate</td>
			<td align="left">Sigma</td>
			<td>F8633-250G</td>
			<td align="left">ACCM-2 medium component</td>
		</tr>
		<tr>
			<td align="left">Sodium chloride</td>
			<td align="left">Sigma</td>
			<td>S9625-500G</td>
			<td align="left">ACCM-2 medium component</td>
		</tr>
		<tr>
			<td align="left">L-cysteine</td>
			<td align="left">Sigma</td>
			<td>C6852-25G</td>
			<td align="left">ACCM-2 medium component</td>
		</tr>
		<tr>
			<td align="left">Bacto Neopeptone</td>
			<td align="left">BD (Beckton-Dickinson)</td>
			<td>211681</td>
			<td align="left">ACCM-2 medium component</td>
		</tr>
		<tr>
			<td align="left">Casamino acids</td>
			<td align="left">BD (Beckton-Dickinson)</td>
			<td>223050</td>
			<td align="left">ACCM-2 medium component</td>
		</tr>
		<tr>
			<td align="left">Methyl-B-Cyclodextrin</td>
			<td align="left">Sigma</td>
			<td>C4555-10G</td>
			<td align="left">ACCM-2 medium component</td>
		</tr>
		<tr>
			<td align="left">RPMI w/glutamax</td>
			<td align="left">Gibco</td>
			<td>61870-010</td>
			<td align="left">ACCM-2 medium component</td>
		</tr>
		<tr>
			<td align="left">RPMI w/glutamax, without phenol red</td>
			<td align="left">Gibco</td>
			<td>32404-014</td>
			<td align="left">For cell culture and infection</td>
		</tr>
		<tr>
			<td align="left">Fetal Bovine Serum</td>
			<td align="left">GE healthcare</td>
			<td>SH30071</td>
			<td align="left">For cell culture</td>
		</tr>
		<tr>
			<td align="left">Trypsin EDTA (0.25%)</td>
			<td align="left">Life Technologies</td>
			<td>25200-056</td>
			<td align="left">For cell culture</td>
		</tr>
		<tr>
			<td align="left">Saponin</td>
			<td align="left">Sigma</td>
			<td>47036</td>
			<td align="left">For immunofluorescence staining</td>
		</tr>
		<tr>
			<td align="left">Ammonium chloride</td>
			<td align="left">Sigma</td>
			<td>A9434</td>
			<td align="left">For immunofluorescence staining</td>
		</tr>
		<tr>
			<td align="left">Bovine Serum Albumine</td>
			<td align="left">Sigma</td>
			<td>A2153</td>
			<td align="left">For immunofluorescence staining</td>
		</tr>
		<tr>
			<td align="left">Electroporation cuvette 0.1 cm</td>
			<td align="left">Eurogentec</td>
			<td>ce0001-50</td>
			<td align="left">For Coxiella transformation</td>
		</tr>
		<tr>
			<td align="left">Trackmates screw top tubes with caps&#160;</td>
			<td align="left">Thermo Scientific</td>
			<td>3741</td>
			<td align="left">2D barcoded screwcap</td>
		</tr>
		<tr>
			<td align="left">96-well microplate with black walls and bottom&#160;</td>
			<td align="left">Greiner</td>
			<td>655076</td>
			<td align="left">Flat dark bottom, for dsDNA quantitation</td>
		</tr>
		<tr>
			<td align="left">96-well microplate, &#65533;&#65533;clear, black walls</td>
			<td align="left">Greiner</td>
			<td>655090</td>
			<td align="left">Flat transparent bottom, for cell culture and imaging</td>
		</tr>
		<tr>
			<td align="left">96-well PCR microplate</td>
			<td align="left">Biorad</td>
			<td>2239441</td>
			<td align="left">DNAse/RNAse free</td>
		</tr>
		<tr>
			<td align="left">96-well plate, Deepwell</td>
			<td align="left">Labcon</td>
			<td>949481</td>
			<td align="left">For Coxiella mutants infections</td>
		</tr>
		<tr>
			<td align="left">PicoGreen</td>
			<td align="left">Life Technologies</td>
			<td>P7581</td>
			<td align="left">For dsDNA quantitation</td>
		</tr>
		<tr>
			<td align="left">Triton X-100&#160;</td>
			<td align="left">Sigma</td>
			<td>T9284-500ML</td>
			<td align="left">For dsDNA quantitation</td>
		</tr>
		<tr>
			<td align="left">Phusion High fidelity DNA Polymerase</td>
			<td align="left">New England Biolabs</td>
			<td>M0530L</td>
			<td align="left">For single primer colony PCR</td>
		</tr>
		<tr>
			<td align="left">Celltracker Red CMTPX</td>
			<td align="left">Life Technologies</td>
			<td>C34552</td>
			<td align="left">For imaging</td>
		</tr>
		<tr>
			<td align="left">Anti-LAMP1 antibody</td>
			<td align="left">Sigma</td>
			<td>94403-1ML</td>
			<td align="left">For immunofluorescence staining</td>
		</tr>
		<tr>
			<td align="left">Hoechst 33258</td>
			<td align="left">Sigma</td>
			<td>L1418</td>
			<td align="left">For imaging</td>
		</tr>
		<tr>
			<td></td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td align="left">Fluorescence microplate reader Infinite 200 Pro</td>
			<td align="left">Tecan</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td align="left">Epifluorescence automated microscope Cellomics</td>
			<td align="left">Thermo Scientific</td>
			<td></td>
			<td></td>
		</tr>
	</tbody>
</table>

generation and multi-phenotypic high-content screening of coxiella burnetii transposon mutants

Invasion and colonization of host cells by bacterial pathogens depend on the activity of a large number of prokaryotic proteins, defined as virulence factors, which can subvert and manipulate key host functions. The study of host/pathogen interactions is therefore extremely important to understand bacterial infections and develop alternative strategies to counter infectious diseases. This approach however, requires the development of new high-throughput assays for the unbiased, automated identification and characterization of bacterial virulence determinants. Here, we describe a method for the generation of a GFP-tagged mutant library by transposon mutagenesis and the development of high-content screening approaches for the simultaneous identification of multiple transposon-associated phenotypes. Our working model is the intracellular bacterial pathogen Coxiellaburnetii, the etiological agent of the zoonosis Q fever, which is associated with severe outbreaks with a consequent health and economic burden. The obligate intracellular nature of this pathogen has, until recently, severely hampered the identification of bacterial factors involved in host pathogen interactions, making of Coxiella the ideal model for the implementation of high-throughput/high-content approaches.

Upon isolation of transposon mutants, single primer colony PCR is a robust, high-throughput method to identify the site of transposon insertion for each mutant. This approach derives from a typical nested PCR protocol but here a single primer hybridizes specifically and/or non-specifically to the template DNA depending on the stringency of the annealing temperature (Figure 1A). The typical PCR products consist of multiple DNA fragments, most of which are specific (Figure 1B). The use of a different sequencing primer that anneals right upstream of the transposon ITR, and downstream of the sequence recognized by the amplification primer provides specificity for the sequencing step (Figure 1C). Automated software for sequence analysis aligns the obtained sequences to the Coxiella genome providing the exact site of transposon insertions (Figure 1C). All transposon insertions can be then annotated on the Coxiella genome (Figure 1D).
Each Coxiella mutant is isolated and amplified axenically in ACCM-2 medium prior to either storage or screening. Figure 2 illustrates an example of 38 transposon mutants in 16 dot/icmCoxiella genes (Figure 2A). To assess the viability of Coxiella mutants, axenic growth curves are obtained by sampling bacterial cultures for 7 days post inoculation and applying the bacterial concentration assay described in 1.5 (Figurie 2B). Amplified mutants are then incubated with epithelial cells, in triplicate 96-well plates for 7 days. All Coxiella mutants generated being GFP-tagged, intracellular growth curves are obtained by measuring the GFP fluorescence intensity of every well, every 24 hr, and plotting the measured values as a function of time (Figure 2C).
Intracellular growth curves provide quantitative analysis of the phenotypes associated with every transposon insertion in the Coxiella genome. To add qualitative information about the same transposon mutants, we opted for automated image acquisition and analysis. Seven days post infection, plates are fixed, processed for immunofluorescence as described in 4 and analyzed using an automated, epifluorescence microscope as described in 5. Automated image analysis software such as CellProfiler (Broad Institute, <a href="http://www.cellprofiler.com/" target="_blank">www.cellprofiler.com</a>) processes the acquired channels independently and segments identified objects for comparative analysis (Figure 3). This allows the identification and morphological characterization of host cell nuclei, cell contours, lysosomes and Coxiella colonies (Figure 3 top panels). Correlating Coxiella colonies with cells and lysosomes allows the identification and specific morphological analysis of Coxiella-containing vacuoles (which are LAMP1 positive, Figure 3 bottom left panel). Correlating Coxiella colonies with host cell contours allows the identification and specific morphological analysis of infected cells (Figure 3 bottom center panel). Finally, the 4 channels are merged for illustration and quality control purposes (Figure 3 bottom right panel).
Data obtained from automated image analysis can be plotted against each other to obtain &#8220;multi-phenotypic scatter plots&#8221;. As an example, in Figure 4A the average area (in &#956;m2) of Coxiella colonies is plotted against the number of colonies per cell (Figure 4A), in order to identify mutations that affect intracellular replication of Coxiella (replication phenotype) and/or the capacity of bacteria to invade host cells (internalization phenotype). Statistical analysis was used to define regions in the resulting scatter plot corresponding to mild (-4 &#60; Z-score &#8804; -2) and severe (Z-score &#8804; -4) phenotypes. Mutants were observed in 3 main clusters: mutations that resulted in a defective intracellular growth of Coxiella were grouped in the left-most part of the plot (Figure 4A, pink and red dots); mutations that affected Coxiella internalization in cells were grouped in the bottom part of the plot (Figure 4A, light and dark blue dots) and finally, green dots in the right-most region of the plot correspond to mutations resulting in non-significant phenotypes (Z-score &#62; -2). Importantly, mutants that fail to replicate but are still able to invade host cells, are detected after 7 days of infection as single bacteria, or small colonies, adjacent to host cell nuclei (Figure 4C, second panel). Hence, the size of Coxiella &#8220;colonies&#8221; will be significantly affected but the number of infected cells will not vary as compared to WT Coxiella-infected cells. On the contrary, mutations that affect the capacity of Coxiella to invade host cells result in a decrease in the number of colonies/cell. When this number is significantly below 1, it indicates that, on average, there is a decrease in the overall number of infected cells. Alternatively, the average area (in &#956;m2) of Coxiella colonies can be plotted against the number of host cells surviving infection (Figure 4B), to identify mutations that confer cytotoxicity to Coxiella (cytotoxic phenotype). As above, statistical analysis was used to define regions in the resulting scatter plot corresponding to mild (-4 &#60; Z-score &#8804; -2) and severe (Z-score &#8804; -4) phenotypes. Most screened mutations did not significantly affect cell survival, regardless of bacterial replication within host cells (Figure 3B green dots). 37 mutations mildly affected host cell survival (Figure 3B, light red dots), and 7 mutations were particularly detrimental to host cell survival (Figure 3B, dark red dots). Please note that additional parameters obtained by the automated image analysis procedure can be used to derive other charts, according to experimental needs.
<img alt="Figure 1" src="/files/ftp_upload/52851/52851fig1highres.jpg" width="700" /> 
Figure 1: Sequencing and annotation of Coxiella transposon mutants. (A) Single primer colony PCR is used to amplify DNA fragments containing the site of transposon insertion. An amplification primer (Amp) is used both as a specific and non-specific primer depending on the stringency of annealing temperature. (B) Typical result of single primer colony PCR. Each reaction produces a number of fragments of variable size, some of which contain the transposon insertion site; some others are randomly amplified as by-products of the low stringency PCR cycle. (C) The use of a sequencing primer (Seq) that hybridizes to the transposon sequence allows the sequencing of the fragments of interest. (D) Sequence analysis software allows the automatic annotation of transposon insertions on the bacterial genome. <a href="https://www.jove.com/files/ftp_upload/52851/52851fig1highres.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 2" src="/files/ftp_upload/52851/52851fig2highres.jpg" width="700" /> 
Figure 2: Axenic and intracellular growth of Coxiella transposon mutants. (A) In the pilot screen, we have isolated, sequenced and screened 38 transposon mutants in 16 core genes of the Coxiella dot/icm secretion system (indicated in red). (B) In order to assess the viability of each transposon mutant, the growth of each isolate in axenic culture medium is monitored over 8 days using a fluorescently tagged DNA intercalating agent. (C) Each mutant is then used to infect epithelial cells. As the transposon possesses a GFP cassette, intracellular bacterial growth is monitored over 7 days of infection by following the variations of GFP fluorescence associated with Coxiella replication, using a microplate reader. <a href="https://www.jove.com/files/ftp_upload/52851/52851fig2highres.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 3" src="/files/ftp_upload/52851/52851fig3highres.jpg" width="700" /> 
Figure 3: Automated image analysis of Coxiella infections. An automated epifluorescence microscope is used to image 21 positions per well of triplicate 96-well plates. The image analysis software segments objects in each acquired channels for quantification and analysis. In all cases, objects touching the border of the images are excluded. (A) The Hoechst channel is used to identify host cell nuclei (circled in green). (B) These are used as seeds to identify host cell contours in the Cy3 channel (the position of nuclei is circled in blue, cell contours are in green). (C) The Cy5 channel is used to identify LAMP1-positive compartments (circled in green); only the objects included in the previously identified cell contours (in red) are retained for image analysis. (D) The GFP channel is used to identify Coxiella colonies (circled in green). (E) Correlating Coxiella colonies with LAMP1-positive compartments allows the identification of Coxiella-containing vacuoles (CCVs); only the objects included in the previously identified cell contours (in green) are retained for image analysis. (F) Correlating Coxiella colonies with cell contours allows the identification of infected cells (pseudocolored). (G) Images acquired in the 4 fluorescence channels (corresponding to Coxiella colonies (green), host cell nuclei (blue), host cell plasma membrane (grey), LAMP1-positive compartments (red)) are merged and used for illustration and quality control. Scale bars 10 &#181;m. <a href="https://www.jove.com/files/ftp_upload/52851/52851fig3highres.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 4" src="/files/ftp_upload/52851/52851fig4highres.jpg" width="700" /> 
Figure 4: Large-scale identification of Coxiella factors involved in host/pathogen interactions. (A) The average area (in &#956;m2) of Coxiella colonies is plotted against the relative number of colonies per cell, to identify replication and internalization phenotypes of interest. Green dots represent phenotypes that deviate from WT Coxiella by a Z-score &#62; -2 (not significant). Pink and light blue dots represent replication and internalization phenotypes respectively, with a Z-score between -2 and -4 (mild phenotypes). Red and dark blue dots represent phenotypes with a Z-score &#8804; -4 (strong phenotypes). (B) The average area (in &#956;m2) of Coxiella colonies was plotted against the total number of cells (infected and not infected) that survived 7 days of infection to estimate the cytotoxic effect resulting from transposon insertions. Green dots represent phenotypes that deviate from WT Coxiella by a Z-score &#62; -2 (not significant). Pink dots represent cytotoxic phenotypes with a Z-score between -2 and -4 (mild phenotypes). Red dots represent cytotoxic phenotypes with a Z-score &#8804; -4 (strong phenotypes). Arrows indicate mutants illustrated by the corresponding lowercase letter in C. (C) Representative images of replication, internalization and cytotoxic phenotypes. In all cases, host cell nuclei are in red, Coxiella colonies are in green. Scale bars 50 &#181;m. <a href="https://www.jove.com/files/ftp_upload/52851/52851fig4highres.jpg" target="_blank">Please click here to view a larger version of this figure.</a>

Watch this Scientific Journal Video about Generation and Multi-phenotypic High-content Screening of Coxiella burnetii Transposon Mutants at JoVE.com

Generation and Multi-phenotypic High-content Screening of Coxiella burnetii Transposon Mutants

Coxiella burnetii is an obligate intracellular Gram-negative bacterium responsible for the zoonotic disease Q fever. Here we describe methods for the generation of Coxiella fluorescent transposon mutants as well as the automated identification and analysis of the resulting internalization, replication and cytotoxic phenotypes.

Generation and Multi-phenotypic High-content Screening of Coxiella burnetii Transposon Mutants

Invasion and colonization of host cells by bacterial pathogens depend on the activity of a large number of prokaryotic proteins, defined as virulence ...

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Immunology and Infection

9.7K Aufrufe.  Université Montpellier.  Coxiella burnetii ist ein obligat intrazelluläre Gram-negative Bakterium für die Zoonose Q-Fieber verantwortlich. Hier beschreiben wir Verfahren zur Erzeugung von Coxiella Fluoreszenz Transposon-Mutanten als auch die automatisierte Identifizierung und Analyse der resultierenden Internalisierung, Replikation und zytotoxische Phänotypen. 