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Gelcompar 2 version 6

Manufactured by bioMérieux
Sourced in Belgium

Gelcompar II version 6.6 is a software tool designed for the analysis and comparison of gel electrophoresis patterns. It provides a range of functionalities for the processing and interpretation of gel images, enabling users to perform various tasks related to microbial identification and strain typing.

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11 protocols using gelcompar 2 version 6

1

Molecular Typing of Colistin-Resistant Bacteria

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ERIC-PCR was applied using the ERIC-1 and ERIC-2 primers for colistin-resistant E. coli and K. pneumoniae isolates (Table 1).27 (link) The ERIC-PCR conditions were regulated based on the published report by Smith et al28 (link). Analyses of the DNA fingerprints were performed by using GelCompar II; version 6.5 (Applied Maths, NV, Keistraat, Belgium). A cutoff value of 80% similarity was applied to define the clusters. The similarity between the profiles was evaluated with the band matching Dice coefficient, and dendrograms for each species were produced by the unweighted pair group method with arithmetic averages (UPGMA). Based on the UPGMA dendrograms, identical strains were defined as isolates with >97% similarity, closely related isolates with ≥95% similarity and isolates with <95% similarity as unrelated strains.
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2

Microbial Diversity Analysis via 16S rRNA DGGE

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Total community DNA (TC-DNA) was extracted from the microbial pellets using the FastDNA SPIN Kit (MP Biomedicals, Heidelberg, Germany) as described by the manufacturer after a harsh lysis step with the FastPrep-24 Instrument (MP Biomedicals, Heidelberg, Germany). The TC-DNA was purified with GENECLEAN SPIN Kit (MP Biomedicals, Heidelberg, Germany) according to the manufacturer. The purified TC-DNA was diluted 1∶10 with 10 mM Tris HCl before use.
For amplification of 16S rRNA gene fragments, PCR reactions were performed with TC-DNA obtained from rhizosphere samples with the primers F984-GC and R1378 as described by Heuer [41] (link) using Taq DNA polymerase (Stoffel fragment, ABI, Darmstadt, Germany). The PCR products were analyzed by DGGE approach as described by Weinert et al. [42] (link).
Bacterial fingerprints were evaluated with GELCOMPAR II version 6.5 (Applied Maths, Sint-Martens-Latern, Belgium) as described by Schreiter et al. [37] (link). The obtained Pearson similarity matrices were used for construction of a dendrogram by an Unweighted Pair-Group Method with Arithmetic mean (UPGMA) as well as of statistical analysis by the permutation test, calculating the d-value from the average overall correlation coefficients within the groups minus the average overall correlation coefficients between samples from treatments compared as suggested by Kropf et al. [43] .
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3

Bacterial Community Fingerprinting Protocol

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Bacterial DGGE community fingerprints were evaluated with GELCOMPAR II version 6.5 (Applied Maths, Sint-Martens-Latem, Belgium). The gel images were normalized and the background was subtracted according to the spectral analysis of each gel. For establishing the similarity matrix a curve based method was chosen. The fingerprints were grouped according to their similarity using the hierarchical cluster method UPGMA (unweighted pairwise grouping method using arithmetic means) based on Pearson correlation coefficient for each pair of lanes. The Pearson similarity matrices were analyzed by means of the permutation test calculating the d-value from the average overall correlation coefficients within the groups minus the average overall correlation coefficients between samples from different groups as suggested by Kropf et al. (2004 (link)) to test the significant differences in community composition between the soil types, rhizosphere, and bulk soil at two sampling times.
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4

Bacterial Strain Fingerprinting via GTG5-PCR

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Fingerprinting PCR was carried out in 20µL reaction tubes in a Bio-Rad T100™ Thermal Cycler (Bio-Rad, Singapore, Singapore). The reaction mixture consisted of 10µL KAPA BIOSYSTEMS 2X KAPA Taq Ready Mix (Kapa Biosystems Cape Town, South Africa), 0.3µL GTGGTGGTGGTGGTG oligonucleotide primer (Versalovic et al., 1994) , 2µL DNA template, 7.3µL PCR-grade water and 0.4µL Dimethyl sulfoxide (DMSO). The PCR program was as follows: 95 o C for 5 min, 95 o C for 1 min, annealing at 52 o C for 1 min, extension at 72 o C for 3 min. The program was repeated for 34 cycles and a final extension at 72 o C for 10 minutes. PCR products were separated by Gel electrophoresis using a 1.5 % Agarose gel (55V for 4h) and the image viewed using a Bio-Rad Gel Doc™ EZ (Bio-Rad, California, USA). The GTG5 fingerprints were analysed using Gel-Compar II version 6.5 (Applied Maths NV, Sint-Martens-Latem, Belgium). The similarity of digitised bands patterns was calculated using Pearson's correlation coefficient, and unweighted pair group method with arithmetic means. Complete linkage algorithms were used to construct an average linkage dendrogram to show relationship of isolates. Isolates were considered to be within a clonal cluster if relatedness was 70% and above (Stackebrandt et al., 2002) . However, due to the close similarities that existed between the isolates sub clusters were further considered at 95%.
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5

Molecular Fingerprinting of E. coli Isolates

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Fingerprints were generated for the 46 E. coli isolates including the O157:H7 reference strain.
The 46 fingerprinted isolates had previously given a positive presumptive test on STEC media (Ntuli et al., 2016) . The 20 μL reaction mixture consisted of 2 μL (100 ng) DNA template, 0.3 μL (0.2 μM) of the single oligonucleotide (GTG) 5 (5′-GTGGTGGTGGTGGTG-3′) primer (Versalovic, Schneider, De Bruijn, & Lupski, 1994) , 10 μL of 2 times KAPA Taq ReadyMix PCR Kit, 0.4 μL (1%) dimethylsulphoxide and PCR grade water. The PCR thermal cycling was performed as follows: Initial denaturation at 95 ºC for 10 min; 35 cycles at 95 ºC for 30 s; 40 ºC for 60 s and 65 ºC for 3 min and a final elongation step at 65 ºC for 8 min. The PCR amplified DNA was separated on 2% agarose gel (55 V for 4 h). The GTG 5 fingerprints of the E. coli isolates were analysed using GelCompar II version 6.5 (Applied Maths NV, Sint-Martens-Latem, Belgium). The similarity of digitized bands patterns was calculated using Pearson's correlation coefficient, and unweighted pair group method with arithmetic means. Complete linkage algorithms were used to construct an average linkage dendrogram to show relationship of isolates. Isolates were considered to be within a clonal cluster if relatedness was 70% and above (Stackebrandt et al., 2002) .
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6

PFGE-based Bacterial Genotyping

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XbaI-digested PFGE patterns of all isolates were analyzed as previously described (Ozaki et al., 2011 (link)). Banding pattern analysis was performed with GelComparII version 6.6 (Applied Maths NV, Sint-Martens-Latem, Belgium). Cluster analysis of the fingerprints obtained was conducted through a similarity matrix calculation using the Dice coefficient, followed by dendrogram construction using the unweighted pair group method with arithmetic mean (UPGMA) as the algorithm with optimization and tolerance set at 1%. Isolates were assigned to genetically related clusters using the 90% strain similarity threshold and distinguished numerically.
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7

Analyzing DNA Fragment Patterns

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The DNA fragment patterns were analyzed using Gelcompar II version 6.6 software (Applied maths, Belgium). The Dice coefficient was used to calculate similarities, and the unweighted paired group method based on the average linkages was used for cluster analysis. A cluster of isolates was defined to include all isolates with ≥80% similarity of their DNA patterns according to the Tenover's criteria.[11 (link)]
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8

Repetitive Sequence-Based DNA Fingerprinting

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The isolation of genomic DNA was extracted by the CTAB method as described previously [37 (link)]. Repetitive sequence-based polymerase chain reaction (rep-PCR) used the (GTG)5 primer (5′-GTGGTGGTGGTGGTG-3′) [22 (link)]. After electrophoresis, Gelcompar II version 6.6 (Applied Maths, Sint-Matenslatem, Belgium) was used to analyze the images of the amplicon fingerprint. The software analyzed the rep-PCR profiles and made use of Pearson correlation analysis to read the banding patterns, and a dendrogram was created by the unweighted pair group method with arithmetic averages [28 (link)]. The raw data for the REP-PCR fingerprint was an additional figure file shows this in more detail (see Additional file 2).
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9

DNA Fingerprinting Cluster Analysis

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The DNA fragment patterns were analysed using Gelcompar II version 6.6 software (Applied maths, Belgium). The Dice coefficient was used to calculate similarities for cluster analysis. A cluster of isolates was defined to include all isolates with 80% cutoff for similarity of their DNA patterns according to the Tenover’s criteria (13 (link)).
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10

Gut Microbiome Profiling in Obesity

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Figure 3: Denaturing gradient gel electrophoresis profiles of the V3 regions of the 16S rRNA gene. Gel picture (B1-B10) representing obese and (L1-L10) is representing lean participants. Band number (a-j) and (a1-e1) were excised and sequenced. Dendrogram constructed with Unweighted Pair Group Method with the Arithmetic average, viewing the similarity were performed using GelCompar II version 6.6 (Applied Maths, Belgium) among obese (B1-B10) and lean (L1-L10) participants Ten dominant bands were separated from each group with a sterile scalpel from the polyacrylamide gel under UV transilluminator, and each band was purified in mili Q water at 4°C overnight by diffusion. This purified gel DNA product was used as template for the re-amplification by using the same GC clamp primer and condition. These PCR products were sequenced.
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