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Gelcompar software

Manufactured by bioMérieux
Sourced in Belgium

GelCompar is a software tool designed for the analysis and comparison of electrophoretic gel patterns. It provides functionality for the digitization, processing, and analysis of gel images, allowing users to perform comparisons between samples and identify similarities or differences.

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12 protocols using gelcompar software

1

Clonal Investigation of Bacterial Isolates

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The clonality of all the isolates was investigated by PFGE, with DraI digestion, as previously described [16] (link). GelCompar software was used for cluster analysis (Applied Maths, Kortrijk, Belgium). The Dice correlation coefficients were grouped and the UPGMA clustering algorithm was used to depict the groups as a dendrogram. According to international recommendations, we clustered isolates that give PFGE patterns with ≤3 fragment differences in the same pulsotype (PT) [17] (link). We further genotyped by multi-locus sequence typing one isolate per PT.
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2

Molecular Fingerprinting of Bacterial Isolates

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Pulsed-field gel electrophoresis using restriction endonuclease XbaI was performed as previously described
[8 (link),32 (link)]. Gels were photographed, scanned as TIFF files, and imported into Gelcompar software (Applied Maths, Sint-Martin-Latem, Belgium). A dendrogram was constructed using band-based comparisons with Dice coefficient and cluster analysis with the unweighted pair-group method with arithmetic average (UPGMA); 1% position tolerance and 3% optimization settings were used. PFGE patterns differing by less than seven bands from prototype members were assigned to the same clone.
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3

Analysis of Microbial Consortia Dynamics

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DNA was extracted from each microbial consortium (in triplicate) using the UltraClean Microbial DNA Isolation Kit (MoBio Laboratories Inc., Carlsbad, CA, USA) according to the manufacturer’s instructions. Bacterial community structures, in the soil-derived microbial consortia (original- transfer 9) and in the final microbial consortia cultivated on the once-used plant biomass (selected- transfer 13: WS1-M, SG-M and CS-M), were evaluated by PCR-denaturing gradient gel electrophoresis (PCR-DGGE). Primer sequences, PCR and DGGE conditions were previously reported (Jiménez et al. 2014a (link); Brossi et al. 2015 (link)). Fingerprinting results were analysed using GelCompar software (Applied Maths, Sint-Martens-Latem, Belgium). Thus, presence/absence band patterns were converted in Jaccard dissimilarity matrices for non-metric multi-dimensional scaling (nMDS) using Primer6 (PrimerE, Ivybridge, UK).
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4

Molecular Typing of Pseudomonas aeruginosa

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The macrorestriction (using DraI) profile of total DNA from each isolate was determined by Pulsed-Field Gel Electrophoresis (PFGE), as previously described [5 (link)]. GelCompar software was used for cluster analysis (Applied Maths, Kortrijk, Belgium). The Dice correlation coefficients were grouped and the UPGMA clustering algorithm was used to depict the groups as a dendrogram. Pulsotypes (PTs) were defined according to international recommendations [17 (link)]. Multi Locus Sequence Typing (MLST) was performed according to the protocol of Curran et al. modified by van Mansfeld et al. [18 (link)]. Nucleotide sequences were determined for internal fragments of the acsA, aroE, guaA, mutL, nuoD, ppsA, and trpE genes, on both strands, and were compared with sequences in the P. aeruginosa MLST website (http://pubmlst.org/paeruginosa) for the assignment of allele numbers and sequence types (ST). Clonal complexes (CCs) are defined as a group of STs sharing at least 5 loci, using the START2 software. When two isolates presented very close PTs (according to Tenover’s criteria), only the MLST profile of one representative isolates was determined and then inferred to the other isolates sharing the same PT.
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5

DGGE analysis of Drosophila microbiome

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The DGGE analysis was performed to estimate differences in the structure of bacterial communities across populations of D. melanogaster and to determine the sampling effort needed to fully characterize their community composition. 16S rRNA bacterial genes were PCR-amplified using the primer set F968 with a GC-clamp attached to 5’ and R1401 (S1 Table), as described above. The obtained amplicons were further used for the DGGE analysis. The DGGE were visualized with Imagemaster VDS (Amersham Biosciences, Buckinghamshire, United Kingdom) and further analysed with GelCompar software (Applied Maths, Sint-Martens Latem, Belgium). The observed low bacterial diversity, as evidenced by the low number of bands on DGGE gels (S1 Fig), justifies our choice of sequencing method (Sanger sequencing) and was used to determine sampling size.
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6

Sequence-Specific Separation of PCR Products

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PCR products were submitted to TTGE for sequence-specific separation using the DCode Universal Mutation Detection System (Bio-Rad, Paris, France), a 1 mm-thick, 16 × 16 polyacrylamide gel (as described by [42 (link)]) and 7 L of 1.25× Tris-acetate-EDTA electrophoresis buffer. The electrophoresis was performed at a fixed voltage of 63 V for 15 h, with an initial temperature of 66 °C and a ramp rate of 0.3 °C/h. The gel was stained in the dark by immersion for 30 min in a solution of SYBR Gold® Nucleic Acid Gel Stain (Invitrogen, Eugene, OR, USA) and was then read on a Storm device (Molecular Dynamics, Bondoufle, France). The TTGE profiles were analyzed with GelCompar software (version 2.0, Applied Maths, Kortrijk, Belgium) in order to determine (i) the number of bands in each lane; and (ii) each band’s position and intensity. A principal component analysis (PCA) was used to identify patterns in data and to highlight similarities and differences. The degree of similarity between patterns was measured by calculating Pearson’s coefficient.
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7

PCR and Gel Electrophoresis for ITS Region

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To amplify the ITS region, we used primers forward: 5′-GAAGTCGTAACAAGG-3′ and reverse: 5′-CAAGGCATCCACCGT-3′ as previously described [17] (link). The PCR was performed with 20-μL reaction volumes comprising 10 μL Master mix (Ampliqon, Odense, Denmark), 0.5 μL forward primer 10 pmol (Bioneer, Daejeon, Korea), 0.5 μL reverse primer 10 pmol (Bioneer, Daejeon, Korea), 8.5 μL distilled water and 50 ng bacterial DNA.
The PCR was performed in a thermocycler (PEQLAB, Erlangen, Germany) with an initial denaturation at 95°C for 5 min; and 25 cycles, including denaturation steps at 95°C for 1 min, annealing at 55°C for 1 min, extension at 72°C for 1 min, and final extension at 72°C for 5 min. Electrophoresis of the PCR product was performed in an 8% polyacrylamide gel. The gel was stained using 1% silver nitrate and detection used Gel Doc (GVM20 model syngene, Cambridge, UK). The digital image was stored electronically as a TIFF image and analysed with GelCompar software (Applied Maths, Sint-Martens-Latem, Belgium) by using the Dice correlation coefficient and the UPGMA method.
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8

PFGE Typing of Staphylococcus aureus Isolates

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PFGE typing of S aureus strains was performed following the protocol of Yetkin et al. (6 ). Briefly, bacterial cells were embedded into low melting agarose including lysostaphin (5 U/mL). Cells in plugs were digested with proteinase K. After washing the plugs, genomic DNA in the plugs was restricted by 30 U of SmaI (Promega Corporation, Durham, NC, USA) for 24 hours at 25°C in a water bath. DNA fragments were separated on 1% agarose gels run in 0.5 × Tris-borate-ethylenediaminetetraacetic acid buffer using a CHEF-DR III system (Bio-Rad Laboratories, Nazareth, Belgium). The electrophoresis conditions were 14°C at 6 V/cm2 for 20 hours. The initial and final switch times were 5.3 and 34.9 seconds, respectively. The gel was stained with ethidium bromide (5 μg/mL) for 20 minutes and destained with distilled water for 30 minutes. The DNA band profiles were visualized under ultraviolet light, photographed using a Gel Logic 2200 Imaging System (Kodak Co, Rochester, NY, USA), and analyzed by GelCompar software (version 7.0; Applied Maths, Sint-Martens-Latem, Belgium). A 1% band tolerance was used for the comparison of DNA profiles. The clonal relationship among isolates was evaluated using the criteria of Tenover et al. (7 (link)).
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9

Molecular Epidemiology of Bacterial Isolates

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Molecular epidemiology of selected isolates was assessed by PFGE.17, 18 Briefly, bacterial cells embedded in 1.6% low‐melting‐point agarose plugs were lysed with lysozyme and proteinase K and then chromosomal DNA was digested with 40 U Sma I (Fermentas). Fragmented DNA samples were electrophoresed in 1% pulsed‐field certified agarose in 0.5× TBE buffer by the contour‐clamped homogeneous electric field method with a CHEF‐DRII drive module (Bio‐Rad Laboratories Ltd.) with 10‐40 seconds pulse times, for 21 hours at 14°C at 6 V cm. The gels were stained with ethidium bromide to detect the DNA band profiles, and the image was digitized with a Gel Doc 1000 system (Bio‐Rad Laboratories). The DNA band profiles were analyzed with GelCompar software (version 3.0; Applied Maths). Band tolerances of 1.5% and 1% normalization were used for comparison of DNA profiles.
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10

Pulsed-Field Gel Electrophoresis for Shigella Fingerprinting

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According to PulseNet protocol (CDC)1, bacterial suspensions of 276 S. sonnei strains were embedded in agarose plugs, lysed, and then digested with endonuclease XbaI (Thermo Fischer Scientific, United States) at 37°C for 2 h. The macrorestriction of genomic DNA fragments was separated by pulsed-field gel electrophoresis on a CHEF-DRIII Chiller system (Bio-Rad Laboratories, Richmond, CA, United States) in 1% agarose gel using 0.5X TBE buffer at 6 V/cm and 14°C, with ramped pulse times of 2.2–54.2 s for 21 h. Salmonella enterica serovar Braenderup strain H9812 was included as molecular size standard three times on each gel to normalize the images and to compare the fingerprints among several gels. The DNA band profiles were analyzed with GelCompar software (version 3.0; Applied Maths, Sint-Martens-Latem, Belgium). A similarity dendrogram was constructed using the unweighted-pair group method with arithmetic mean (UPGMA) with the Dice similarity coefficient and a band tolerance of 1.5%. Pulsegroups were defined by sharing 73% similarity and more than 93.5% for pulsetypes.
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