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Rapid identification and fingerprinting of Candida krusei by PCR-based amplification of the species-specific repetitive polymorphic sequence CKRS-1.

A PCR method was developed to identify and fingerprint Candida krusei isolates simply and rapidly. The primer pair Arno1 and Arno2 was designed to amplify the polymorphic species-specific repetitive sequence CKRS-1 (C. krusei repeated sequence 1) that we identified in the nontranscribed intergenic regions (IGRs) of rRNA genes in C. krusei LMCK31. The specificity, sensitivity, reproducibility, and fingerprinting ability of the PCR assay were evaluated. Amplification products were obtained from all 131 C. krusei isolates studied. No other yeast species of medical importance (n = 26), including species similar to C. krusei, species of pathogenic filamentous fungi, or a variety of pathogenic bacteria, yielded a PCR product with these primers. This PCR assay allowed for the identification of C. krusei in less than 6 h. The PCR assay was sensitive enough to detect as little as 10 to 100 fg of C. krusei-purified DNA and proved to be reproducible. Since amplification products varied both in number and in molecular weight according to the strains, PCR patterns allowed strains to be distinguished. To ascertain the epidemiological usefulness of this PCR fingerprinting, the patterns of the 131 isolates were compared. A total of 95 types which corresponded to 95 independent strains were delineated (discriminatory power = 1 with n = 95). Comparison of the results of PCR fingerprinting and those of fingerprinting with the CkF1,2 probe showed that they concurred. In addition, this work yields insights into the mechanisms involved in generating polymorphisms in the IGRs of C. krusei. Since this method is simpler and faster than established identification and genotyping methods of this important pathogenic species, it is a critical improvement for clinical microbiology laboratories relevant not only to diagnosis but also to epidemiology.

Candida↗

PCR-based DGGE fingerprinting and identification of methanogens detected in three different types of UASB granules.

Methane is produced by various methanogenic bacteria present in upflow anaerobic sludge blanket (UASB) bioreactors. Methane can be used to predict and improve UASB bioreactor efficiency. The methanogen population in the granules can be influenced by the composition of the substrate. The aim of this study was to fingerprint and identify the methanogens present in three different types of UASB granules that had been used to treat winery, brewery and peach-lye canning effluents. This was done using polymerase chain reaction (PCR)-based denaturing gradient gel electrophoresis (DGGE) and DNA sequence analysis. The DGGE fingerprints obtained from the methanogen reference cultures of Methanosaeta concilii, Methanosaeta thermophila, Methanosarcina barkeri, Methanosarcina mazeii and Methanobacterium formicicum were compared to the DGGE profiles of the Archaea in the different granules. The positions of the DGGE bands that did not correspond well to the bands of the known species were sequenced and compared to sequences available on GenBank using the Blastn search option. The aligned DNA sequences were used to construct a phylogenetic tree. Based on the data obtained, a DGGE marker was constructed which was used to provide a quick method to identify the Archaeal members of the microbial consortium in UASB granules.

Base Sequence↗

Random amplified polymorphic DNA fingerprints for identification of species in poultry pâté.

Because some fraudulent or unintentional mislabeling occurs that can be undetected, resulting in lower quality pâté, and because some population groups, for philosophical or religious reasons, do not wish to eat meat from certain species, a new procedure was developed and evaluated to detect pâté species composition by randomly amplified polymorphic DNA (RAPD). The RAPD method was used to generate fingerprint patterns for pork, chicken, duck, turkey, and goose meats. Ten DNA samples from pork, chicken, turkey, and duck meats were tested to confirm the effectiveness and specificity. Specific results for each species were obtained by the RAPD method. Sensitivity of the method was studied by DNA dilution in each species, detecting as little as 250 pg of DNA. Isolations of DNA from 30 pâtés (tinned and untinned) were carried out, and an optimal DNA was obtained for using as template DNA in polymerase chain reaction (PCR). The RAPD-PCR pattern was useful to identify species composition of pork, duck, duck-pork, goose, and poultry pâtés. This study demonstrates the usefulness of RAPD fingerprinting to distinguish between species in pâtés.

Animals↗

Amplified fragment length polymorphism fingerprinting for identification of a core group of Neisseria gonorrhoeae transmitters in the population attending a clinic for treatment of sexually transmitted diseases in Amsterdam, The Netherlands.

Amplified fragment length polymorphism analysis seems well suited for studying the epidemiology of isolates of Neisseria gonorrhoeae obtained from patients attending the Sexually Transmitted Disease Outpatient Clinic in Amsterdam, The Netherlands. It shows potential to identify the core group of transmitters.

Adult↗

Arbitrary-primed PCR for genomic fingerprinting and identification of differentially regulated genes in Indian isolates of Leishmania donovani.

The arbitrary-primed PCR (AP-PCR) technique was employed with the twin goals of identifying genetic polymorphisms within the Indian isolates and to identify differentially expressed gene sequences. The parasite isolates from Indian Kala-azar patients could be differentiated from Leishmania donovani isolates from distinct geographic regions. Moreover, differences within the Indian isolates could also be identified. A majority (17/19) of the Indian isolates gave identical AP-PCR pattern, while two isolates gave consistently divergent pattern. The distinctive AP-PCR fragments obtained with Indian isolates were used as probes in Northern blot analysis. Three such fragments were found to represent transcribed sequences that were differentially expressed in the two stages of the parasite. These sequences led to cloning and characterization of Leishmania Centrin gene and a novel gene termed A-1 that is over-expressed in amastigote stage of the parasite. The study demonstrates the utility of random genome sampling methods in genomic fingerprinting and in identifying differentially transcribed sequences that could potentially contribute to parasite virulence.

Animals↗

Evaluation of PCR-restriction profile analysis and IS2404 restriction fragment length polymorphism and amplified fragment length polymorphism fingerprinting for identification and typing of Mycobacterium ulcerans and M. marinum.

Mycobacterium ulcerans and M. marinum are emerging necrotizing mycobacterial pathogens that reside in common reservoirs of infection and exhibit striking pathophysiological similarities. Furthermore, the interspecific taxonomic relationship between the two species is not clear as a result of the very high phylogenetic relatedness (i.e., >99.8% 16S rRNA sequence similarity), in contrast to only 25 to 47% DNA relatedness. To help understand the genotypic affiliation between these two closely related species, we performed a comparative analysis including PCR restriction profile analysis (PRPA), IS2404 restriction fragment length polymorphism (RFLP), and amplified fragment length polymorphism (AFLP) on a set of M. ulcerans (n = 29) and M. marinum (n = 28) strains recovered from different geographic origins. PRPA was based on a triple restriction of the 3' end region of 16S rRNA, which differentiated M. ulcerans into three types; however, the technique could not distinguish M. marinum from M. ulcerans isolates originating from South America and Southeast Asia. RFLP based on IS2404 produced six M. ulcerans types related to six geographic regions and did not produce any band with M. marinum, confirming the previous findings of Chemlal et al. (K. Chemlal, K. DeRidder, P. A. Fonteyne, W. M. Meyers, J. Swings, and F. Portaels, Am. J. Trop. Med. Hyg. 64:270-273, 2001). AFLP analysis resulted in profiles which grouped M. ulcerans and M. marinum into two separate clusters. The numerical analysis also revealed subgroups among the M. marinum and M. ulcerans isolates. In conclusion, PRPA appears to provide a rapid method for differentiating the African M. ulcerans type from other geographical types but is unsuitable for interspecific differentiation of M. marinum and M. ulcerans. In comparison, whole- genome techniques such as IS 2404-RFLP and AFLP appear to be far more useful in discriminating between M. marinum and M. ulcerans, and may thus be promising molecular tools for the differential diagnosis of infections caused by these two species.

Animals↗

Optimizing search conditions for the mass fingerprint-based identification of proteins.

The two central problems in protein identification by searching a protein sequence collection with MS data are the optimal use of experimental information to allow for identification of low abundance proteins and the accurate assignment of the probability that a result is false. For comprehensive MS-based protein identification, it is necessary to choose an appropriate algorithm and optimal search conditions. We report a systematic study of the quality of PMF-based protein identifications under different sequence collection search conditions using the Probability algorithm, which assigns the statistical significance to each result. We employed 2244 PMFs from 2-DE-separated human blood plasma proteins, and performed identification under various search constraints: mass accuracy (0.01-0.3 Da), maximum number of missed cleavage sites (0-2), and size of the sequence collection searched (5.6 x 10(4)-1.8 x 10(5)). By counting the number of significant results (significance levels 0.05, 0.01, and 0.001) for each condition, we demonstrate the search condition impact on the successful outcome of proteome analysis experiments. A mass correction procedure utilizing mass deviations of albumin matching peptides was tested in an attempt to improve the statistical significance of identifications and iterative searching was employed for identification of multiple proteins from each PMF.

Blood Proteins↗

[Resistant tuberculosis is spreading in Sweden. Molecular epidemiological strain identification by "fingerprinting" can make the infection tracing easier].

Resistance of Mycobacterium tuberculosis to antibiotics is a world wide problem. A study is reported with the aim to analyse the spread of resistant isolates of M tuberculosis complex from patients with tuberculosis in Sweden. The study is based on a sample of 192 M tuberculosis complex isolates from patients with drug resistant tuberculosis during 1994-2000. All isolates resistant to at least one of the drugs streptomycin, isoniazid, ethambutol and rifampicin were included in the study. Restriction fragment length polymorphism (RFLP) was performed, using IS6110 as a probe for hybridisation. Visualised bands were analysed by Gel Compar software. The majority of the isolates were from patients born in high TB prevalence countries. During the years 1996-2000 there was one major cluster generated from 34 isolates. In 1996-1998 there were two isolates per year, in 1999 it increased to 20 isolates, and eight cases in 2000. All strains were resistant to isoniazid. All patients in this cluster were found to be from Africa. In comparing the pattern in the T-base the strains matched with strain BEA-000007341 isolated from a patient in Rwanda. The majority of patients with drug resistant tuberculosis in Sweden are immigrants from countries with high incidence of tuberculosis. Spread of disease to the Swedish born population is uncommon. However, an increasingly prevalent clone of isoniazid resistant tuberculosis was found among African immigrants, mainly living in the Stockholm area.

Adolescent↗

Quantitative assessment of the fingerprint evidential value using machine learning.

Fingerprints as physical evidence have long supported criminal investigation and adjudication. In practice, however, fingerprint identification relies mainly on examiners' experience. Furthermore, expert opinions tend to be categorical, even though the opinions with the same conclusion could differ substantially in evidential strength. To quantitatively assess fingerprint evidential value, this study proposes a machine learning-based framework as an interpretable decision-support tool. A lightweight residual one-dimensional convolutional neural network was constructed, incorporating channel recalibration and a similarity-driven attention mechanism to learn adaptive contribution weights for different matched minutiae (minutiae for short). Controlled experiments revealed that the predicted evidential value increased with the number of minutiae and was significantly influenced by the quality of minutiae. With 10 minutiae, the mean predicted scores were 4.49, 7.00, and 9.09 for blurred, moderately blurred, and clear minutiae, respectively. Multiple regression analysis indicated that replacing a pair of blurred minutiae with a pair of clear minutiae increased the score by 0.492, whereas replacing it with a pair of moderately blurred minutiae increased the score by only 0.216. By mapping predicted scores to graded levels of evidential strength, the framework contributes to a paradigm shift from categorical expert opinions to graded ones, helping courts evaluate fingerprint evidence more scientifically.

Humans↗

The potential (negative) influence of observational biases at the analysis stage of fingermark individualisation.

Recent cases of erroneous identification have strengthened critical comments on the reliability of fingerprint identification. This goes hand in hand with recent publications regarding the lack of scientific foundation of the discipline. Combined with "legislative" needs, such as for instance the admissibility criteria under Daubert, or experimental studies revealing potential bias, the call for research on the identification process has become more urgent. That background set the basis of this research project financed by the Swiss National Science Foundation (SNSF) which includes, among other parts, experimental tests to study potential observational biases in the analysis stage of fingerprint individualisation. These tests have been submitted to several groups of forensic science students at the University of Lausanne. The aim is to study factors potentially influencing the analysis of fingermarks, more specifically the influence of training/education (test I) as well as the potential impact of case contextual information or known print availability (test II). For all tests students were given 11 or 12 fingermarks of a medium to difficult quality, with a range of 8-15 minutiae. For all tests the task was always the same for the participants but carried out in different contexts: to analyse the marks, to annotate the minutiae observed, to designate them and to decide on the status of the mark in two categories, exploitable and identifiable. The aim was to see how the fingermarks were annotated by different individuals so as to have an idea of the variation in annotation and counting in the analysis stage only. For test I, students were submitted the same 12 fingerprints before and after having followed specific training in fingermark individualisation. The aim was to see how training/education impacts the analysis of fingermarks. For test II, were participants given eleven fingermarks so as to study whether the presence of a comparison print changes the amount of minutiae found and whether low/high-profile background information influences the analysis stage. Results show that for test I the effect of training can be observed, among other, in an increase of minutiae annotated and a higher consensus between participants. For test II no effect of the stimuli used to induce observational biases has been observed by all of the factors studied.

Dermatoglyphics↗

Evaluation of parameters in peptide mass fingerprinting for protein identification by MALDI-TOF mass spectrometry.

Protein identification by peptide mass fingerprinting, using the matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS), plays a major role in large proteome projects. In order to develop a simple and reliable method for protein identification by MALDI-TOF MS, we compared and evaluated the major steps in peptide mass fingerprinting. We found that the removal of excess enzyme from the in-gel digestion usually gave a few more peptide peaks, which were important for the identification of some proteins. Internal calibration always gave better results. However, for a large number of samples, two step calibrations (i.e. database search with peptide mass from external calibration, then the use of peptide masses from the search result as internal calibrants) were useful and convenient. From the evaluation and combination of steps that were already developed by others, we established a single overall procedure for peptide identification from a polyacrylamide gel.

Bacterial Proteins↗

DNA fingerprinting for forensic identification: some statistical issues.

In DNA fingerprinting work, it is well known that, although fragment lengths of a sample are uncorrelated, measurement errors of fragment lengths are correlated. Unless the fragment length is very large, the measurement errors are directly proportional to fragment lengths. In the currently practiced matching procedures for forensic identification, these facts are ignored or inadequately used. Some of these issues are addressed in this study. Based on available empirical observations, an appropriate statistical model and techniques are proposed. These techniques lead to the definition and construction of elliptical match windows, instead of independent interval (linear) windows currently used. Simulation experiments indicate that the performance of the proposed procedure is superior to the current procedures. Further, the proposed procedure does not make use of some assumptions underlying the current procedures. Extensions of the procedure to utilize replicate measurements of crime-scene and/or suspect's samples are indicated.

Chromosome Mapping↗

Biological foundations for forensic identifications based on fingerprints.

Different countries have different norms with regards to the number of minutiae, which are considered necessary for identification in fingerprint comparison. We investigated these numbers of minutiae with respect to finger, pattern and hand in a sample of 100 Dutch males. The minutiae were counted in the 16 cells of a 20 x 20 mm grid placed on the fingerprint. Statistical analysis showed that individual-, pattern- and fingerfactors, determine the number of minutiae. In this quantitative respect the fingers of both hands can be grouped in two groups: (1, 4) and (2, 3, 5). Because an identification based on a fingerprint, depends on the expected number of minutiae, this study draws special attention on the variation in this number. It is probable that the number of minutiae needed for the identification depends in a greater of lesser degree on finger, pattern, sex and population-group of the individual.

Adult↗

Fingerprint pattern restoration by digital image processing techniques.

Fingerprint evidence plays an important role in solving criminal problems. However, defective (lacking information needed for completeness) or contaminated (undesirable information included) fingerprint patterns make identifying and recognizing processes difficult. Unfortunately. this is the usual case. In the recognizing process (enhancement of patterns, or elimination of "false alarms" so that a fingerprint pattern can be searched in the Automated Fingerprint Identification System (AFIS)), chemical and physical techniques have been proposed to improve pattern legibility. In the identifying process, a fingerprint examiner can enhance contaminated (but not defective) fingerprint patterns under guidelines provided by the Scientific Working Group on Friction Ridge Analysis, Study and Technology (SWGFAST), the Scientific Working Group on Imaging Technology (SWGIT), and an AFIS working group within the National Institute of Justice. Recently, the image processing techniques have been successfully applied in forensic science. For example, we have applied image enhancement methods to improve the legibility of digital images such as fingerprints and vehicle plate numbers. In this paper, we propose a novel digital image restoration technique based on the AM (amplitude modulation)-FM (frequency modulation) reaction-diffusion method to restore defective or contaminated fingerprint patterns. This method shows its potential application to fingerprint pattern enhancement in the recognizing process (but not for the identifying process). Synthetic and real images are used to show the capability of the proposed method. The results of enhancing fingerprint patterns by the manual process and our method are evaluated and compared.

Dermatoglyphics↗

Notl-Msell methylation-sensitive amplied fragment length polymorhism for DNA methylation analysis of human cancers.

We have applied a methylation-sensitive restriction endonuclease, NotI, to the existing amplified fragment length polymorphism (AFLP) method and developed NotI-MseI methylation-sensitive-AFLP (MS-AFLP). NotI-MseI MS-AFLP allows the analysis of DNA methylation alterations at the NotI sites scattered over the genome. Hypermethylation and hypomethylation are visualized by the decrease and increase in the band intensity of DNA fingerprints. Identification of consistent changes can be facilitated through parallel electrophoresis of multiple samples. DNA fragments exhibiting alterations can be cloned from fingerprint bands by amplification of gel-eluted DNA with the same pair of primers used for radioactive fingerprint presentation. Fluorescent NotI-MseI MS-AFLP offers a safer method of studying the alterations in DNA methylation, and may be applied to the hybridization of DNA microarrays in the future. Using NotI-MseI MS-AFLP, we observed frequent hypomethylation of a satellite DNA repeat sequence in a majority of breast tumors.

Blotting, Southern↗