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editorial
. 1999 Mar;37(3):876–877. doi: 10.1128/jcm.37.3.876-877.1999

Critical Observations on Computerized Analysis of Banding Patterns with Commercial Software Packages

Gianluigi Cardinali 1,2,*, Alessandro Martini 1,2, Carlo Tascini 1,2, Francesco Bistoni 1,2
PMCID: PMC84595  PMID: 10084889

We read with interest the recently published paper by Gerner-Smidt et al. (1) critically evaluating two commercial software packages (the BioImage system and the Molecular Analyst Fingerprinting Plus system [MAFP]; Bio-Rad) in relation to their ability to compare discriminate populations of Listeria monocytogenes on the basis of electrophoretic data. We would like to comment on some aspects of the comparison of banding patterns from different gels and the critical relevance of the band-linking procedure.

Since electrophoretic mobility of bands is scarcely reproducible in different experiments, even with the highest degree of standardization (2), comparison of patterns from different runs can be performed either by transforming migration data into molecular weights (BioImage) or by varying the gel picture scale in order to align the bands of the same internal standard present in all gels (MAFP). In our opinion, the latter procedure involves linear variation of the lane dimensions, not necessarily proportional to the actual migration dynamics of each band in agarose gels.

In order to produce evidence to support our opinion, we ran a 100-bp ladder (New England Biolabs, Beverley, Mass.) in two lanes on the same gel for 60 and 90 min. Migration data measured with NIH-Image 1.62 software (National Institutes of Health, Bethesda, Md.) were transformed (Kaleida Graph 3.08 program; Synergy Software) into molecular weights by regression analysis using migration data (distances from the well) and the known molecular weight of the standard.

The normalization procedure suggested by MAFP was reproduced by graphically aligning the well line and the 100-bp bands of the 60- and 90-min images. The average variability within gels run for the same time was 1.82% (standard error [SE] = 0.60), while the comparison of 60- and 90-min runs displayed a 9.21% (SE = 1.13) variability.

These data show that the linear modification of gel length suggested by the manufacturers of the MAFP software, producing a fivefold increase in the level of error, is not a completely legitimate operation. However, it is possible to control the accuracy of the alignment by asking MAFP to calculate and then compare the molecular weights of the bands of each standard in the merged gels.

Another misleading characteristic of the MAFP software is that corresponding bands from different lanes of the same gel are linked to each other by using a tolerance value expressed in pixels. As a matter of fact, since the relationship between migration (expressed in pixels) and molecular size (expressed in base pairs) is not necessarily linear, the same tolerance gives rise to larger molecular weight differences in the upper part of the gel. This is particularly important in pulsed-field gel electrophoresis (PFGE) gels, where the regression curves between migration distances (x axis) and molecular weights (y axis) exhibit hyperbolic shapes (Fig. 1).

FIG. 1.

FIG. 1

Calibration curve between molecular size (kilobases) and migration distance (pixels) of a chromosomal DNA resolved in a PFGE gel of a standard strain.

The above observations suggest that the application of algorithms based only on migration distances, besides yielding data which are de facto inaccessible for comparison to the scientific community, requires further elaborations by other systems.

REFERENCES

  • 1.Gerner-Smidt P, Graves L M, Hunter S, Swaminathan B. Computerized analysis of restriction fragment length polymorphism patterns: comparative evaluation of two commercial software packages. J Clin Microbiol. 1998;36:1318–1323. doi: 10.1128/jcm.36.5.1318-1323.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.van Belkum A, van Leeuwen W, Kaufmann M E, Cookson B, Forey F, Etienne J, Goering R, Tenover F, Steward C, O’Brien F, Grubb W, Tassios P, Legakis N, Morvan A, El Solh N, de Ryck R, Struelens M, Salmenlinna S, Vuopio-Varkila J, Kooistra M, Talens A, Witte W, Verbrugh H. Assessment of resolution and intercenter reproducibility of results of genotyping Staphylococcus aureus by pulsed-field gel electrophoresis of SmaI macrorestriction fragments: a multicenter study. J Clin Microbiol. 1998;36:1653–1659. doi: 10.1128/jcm.36.6.1653-1659.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
J Clin Microbiol. 1999 Mar;37(3):876–877.

AUTHORS’ REPLY

P Gerner-Smidt 1,2, L M Graves 1,2, Susan Hunter 1,2, B Swaminathan 1,2

The comment by Dr. Cardinali et al. is a note of caution on normalization of electrophoretic profiles by aligning reference patterns present in all gels to a reference standard by varying the gel picture scale within each gel and among all gels. Normalization is done this way by the GelCompar (Molecular Analyst Fingerprinting Plus) software described in our paper (1-1). However, Dr. Cardinale et al. make a fundamental mistake in assuming that this shrinking and stretching process is a linear function in GelCompar. It is not. L. and P. Vauterin of Applied Maths, Kortrijk, Belgium, who have developed the software, state that the normalization algorithm is done by using cubic spline functions, similar but not identical to the functions used to calculate molecular weights from the migration data. These functions have a good reputation for faithful interpolation. All reference bands, but not the wells in the gel which do not take part in the migration process, are used for normalization.

Dr. Cardinale et al. also find it problematic that linking corresponding bands from different lanes is done by using a tolerance value expressed in pixels and not in molecular weight. This is actually one of the advantages of GelCompar over BioImage that is not mentioned in our paper. Since the physical process of running a gel and capturing the image is measured entirely in run lengths, the errors on the run length are much more constant over the gel than errors on the molecular sizes, which involve a nonlinear transformation of the run length data.

In our paper, the GelCompar normalization showed its robustness in the first part of the study. The reference standard in one gel was used to align two distorted gels containing phage λ fragments in the test lanes. GelCompar performed excellently and was at least as good as the BioImage software, which does normalization by calculating molecular weights, at estimating the sizes of the different phage λ fragments regardless of the size of the fragments (Table 2 in our paper).

Thus, results obtained by using GelCompar need not be confirmed by other molecular size-based systems as proposed by Dr. Cardinale et al. However, like all image analysis programs, GelCompar should be considered an aid in the analysis of complex banding patterns and the overall results should always be checked by visual inspection.

REFERENCE

  • 1-1.Gerner-Smidt P, Graves L M, Hunter S, Swaminathan B. Computerized analysis of restriction fragment length polymorphism patterns: comparative evaluation of two commercial software packages. J Clin Microbiol. 1998;36:1318–1323. doi: 10.1128/jcm.36.5.1318-1323.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]

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