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Journal articles on the topic 'DNA fingerprints'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 March 2023

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1

Cubeta, M. A., B. R. Cody, Y. Kohli, and L. M. Kohn. "Clonality in Sclerotinia sclerotiorum on Infected Cabbage in Eastern North Carolina." Phytopathology® 87, no. 10 (October 1997): 1000–1004. http://dx.doi.org/10.1094/phyto.1997.87.10.1000.

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Eighty-four isolates of Sclerotinia sclerotiorum from four cabbage production fields in North Carolina and 16 isolates from an experimental cabbage field plot in Louisiana were DNA-fingerprinted and tested for mycelial compatibility. In a comparison with 594 unique DNA fingerprints of S. sclerotiorum from Canadian canola, no fingerprints were shared among Canadian, North Carolina, and Louisiana populations. DNA fingerprints from the North Carolina sample were distinctive from those of the Canadian and Louisiana samples, with significantly more hybridizing fragments in the 7.7- to 18-kilobase range. Forty-one mycelial compatibility groups (MCGs) and 50 unique DNA fingerprints were identified from the North Carolina sample. Three MCGs and three fingerprints were identified from the Louisiana sample. From the North Carolina sample, 32 MCGs were each associated with a unique fingerprint; of these, there were 11 clones (i.e., cases in which two or more isolates belonged to the same MCG and shared the same DNA fingerprint). Six clones sampled from two or more fields represented approximately 29% of the total sample (24 of 84 isolates), with six clones recovered from fields 75 km apart. There were 10 cases in which one MCG was associated with more than one DNA fingerprint and two cases in which one DNA fingerprint was associated with more than one MCG. The small sample from Louisiana was strictly clonal. The North Carolina sample had a clonal component, but deviated from one-to-one association of MCG with DNA fingerprint to an extent consistent with more recombination or transposition than the other two populations sampled.

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2

van Oorschot, Roland A. H., and Maxwell K. Jones. "DNA fingerprints from fingerprints." Nature 387, no. 6635 (June 1997): 767. http://dx.doi.org/10.1038/42838.

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3

Yang, Zhenhua, Peter F. Barnes, Fernando Chaves, Kathleen D. Eisenach, Stephen E. Weis, Joseph H. Bates, and M. Donald Cave. "Diversity of DNA Fingerprints ofMycobacterium tuberculosis Isolates in the United States." Journal of Clinical Microbiology 36, no. 4 (1998): 1003–7. http://dx.doi.org/10.1128/jcm.36.4.1003-1007.1998.

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To investigate the diversity of IS6110 fingerprints ofMycobacterium tuberculosis isolates in the United States and to determine if matching IS6110 fingerprints represent recent interstate tuberculosis transmission, we performed restriction fragment length polymorphism analysis of M. tuberculosisisolates from 1,326 patients in three geographically separated states. Seven hundred ninety-five different IS6110 fingerprint patterns were generated, and pattern diversity was similar in each state. Ninety-six percent of the fingerprint patterns were observed in only one state, demonstrating that most IS6110 fingerprint patterns are confined to a single geographic location. Of the IS6110 fingerprint patterns that were shared by isolates from more than one state, most isolates with 1 to 5 IS6110copies were separable by pTBN12 fingerprinting whereas those with >15 copies were not. One high-copy-number M. tuberculosisstrain had identical IS6110 and pTBN12 fingerprints and included 57 isolates from three states. Epidemiological data demonstrated significant recent transmission of tuberculosis within each city but not among the states. This suggests that identical fingerprints of isolates from geographically separate locations most likely reflect interstate tuberculosis transmission in the past, with subsequent intrastate spread of disease. Further evaluation of M. tuberculosis strains that cause outbreaks in different geographic locations will provide insight into the epidemiological and bacteriological factors that facilitate the spread of tuberculosis.

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4

Miehlke, Stephan, Rachel Thomas, Oscar Guiterrez, David Y. Graham, and Mae F. Go. "DNA Fingerprinting of Single Colonies ofHelicobacter pylori from Gastric Cancer Patients Suggests Infection with a Single Predominant Strain." Journal of Clinical Microbiology 37, no. 1 (1999): 245–47. http://dx.doi.org/10.1128/jcm.37.1.245-247.1999.

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In each of six gastric cancer patients, repetitive extragenic palindromic PCR DNA fingerprints of 18 single colonies ofHelicobacter pylori from the gastric antrum, corpus, and cardia were identical and matched that of the parental isolate. In three additional gastric cancer patients, 17 of 18 single-colony DNA fingerprints were identical to each other and to the DNA fingerprint of the corresponding parental isolate.

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5

D'EUSTACHIO, PETER. "Interpreting DNA fingerprints." Nature 356, no. 6369 (April 1992): 483. http://dx.doi.org/10.1038/356483a0.

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6

BROOKFIELD, JOHN. "Interpreting DNA fingerprints." Nature 356, no. 6369 (April 1992): 483. http://dx.doi.org/10.1038/356483b0.

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7

Wang, Haiping, Dongbo Mi, Wanxu Wang, Hongliang Zhang, Dongsheng Tong, Shengjiang Wang, and Feng Gao. "Latent Fingerprint Visualization and Subsequent DNA Extraction Using Electron Beam Evaporation of Metallic Ultra-Thin Films." Current Nanoscience 15, no. 3 (February 19, 2019): 248–53. http://dx.doi.org/10.2174/1573413714666180628155824.

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Background: Proper detection and subsequent extraction of biological evidence are crucial for crime scene reconstruction. Vacuum metal deposition is currently an effective technique used in latent fingerprint development. However, the established procedures commonly undergo a direct plasma bombardment, a high ablation fluence and/or a high temperature process in vacuum metal deposition system. Method: In this work, electron beam evaporation (EBE) was used to investigate the development of latent fingerprints and subsequent DNA extraction of biological evidence. Gold or copper is preferentially nucleated on the background surfaces rather than the fingerprint residues due to the difference of the nature of the surface, which indicates that the gold / copper and copper agglomerates are binding to the fingerprint valleys not the ridges of the fingerprint, revealing bright patterns with excellent ridge detail clarity on black surfaces. Result: It is demonstrated that the co-extraction of the latent fingerprints and DNA is attributed to electron beam evaporated one-step process with relatively low energy bombarding energetic species and neutral particles, less possibility of contamination and without toxic and fluorine-based gases. Conclusion: Our results demonstrate that EBE is a promising technique for the latent fingerprints and DNA co-extraction.

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8

McAlpin, C. E., D. T. Wicklow, and B. W. Horn. "DNA Fingerprinting Analysis of Vegetative Compatibility Groups in Aspergillus flavus from a Peanut Field in Georgia." Plant Disease 86, no. 3 (March 2002): 254–58. http://dx.doi.org/10.1094/pdis.2002.86.3.254.

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The ability of species-specific DNA probe pAF28 to correctly match 75 strains of Aspergillus flavus isolated from a peanut field in Georgia with 1 of 44 distinct vegetative compatibility groupings (VCGs) was assessed. Multiple strains belonging to the same VCG typically produced identical DNA fingerprints, with the exception of VCG 17 and VCG 24, which contained strains that showed 83 and 87% similarity, respectively. A. flavus isolates sharing more than 80% of the fragments are recognized as belonging to the same DNA fingerprint group. Each VCG represented by a single isolate produced unique DNA fingerprints. The results provide further evidence that the pAF28 probe is able to distinguish A. flavus VCGs based on DNA fingerprints and can be used to predict the approximate number of VCGs in a sample population. The DNA probe also hybridized strongly and displayed multiple and distinct bands with other species in Aspergillus section Flavi: A. bombycis, A. caelatus, A. nomius, A. pseudotamarii, and A. tamarii. Although individual strains representing Aspergillus spp. in section Flavi produced DNA fingerprints with multiple bands, the banding patterns could not be used to classify these strains according to species.

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9

SHAPIRO, MARTIN M. "Imprints on DNA fingerprints." Nature 353, no. 6340 (September 1991): 121–22. http://dx.doi.org/10.1038/353121b0.

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10

HILLEL, J., Y. PLOTZY, A. HABERFELD, U. LAVI, A. CAHANER, and A. J. JEFFREYS. "DNA fingerprints of poultry." Animal Genetics 20, no. 3 (April 24, 2009): 145–55. http://dx.doi.org/10.1111/j.1365-2052.1989.tb00852.x.

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11

Dombek, Priscilla E., LeeAnn K. Johnson, Sara T. Zimmerley, and Michael J. Sadowsky. "Use of Repetitive DNA Sequences and the PCR To DifferentiateEscherichia coli Isolates from Human and Animal Sources." Applied and Environmental Microbiology 66, no. 6 (June 1, 2000): 2572–77. http://dx.doi.org/10.1128/aem.66.6.2572-2577.2000.

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ABSTRACT The rep-PCR DNA fingerprint technique, which uses repetitive intergenic DNA sequences, was investigated as a way to differentiate between human and animal sources of fecal pollution. BOX and REP primers were used to generate DNA fingerprints from Escherichia coli strains isolated from human and animal sources (geese, ducks, cows, pigs, chickens, and sheep). Our initial studies revealed that the DNA fingerprints obtained with the BOX primer were more effective for grouping E. coli strains than the DNA fingerprints obtained with REP primers. The BOX primer DNA fingerprints of 154 E. coli isolates were analyzed by using the Jaccard band-matching algorithm. Jackknife analysis of the resulting similarity coefficients revealed that 100% of the chicken and cow isolates and between 78 and 90% of the human, goose, duck, pig, and sheep isolates were assigned to the correct source groups. A dendrogram constructed by using Jaccard similarity coefficients almost completely separated the human isolates from the nonhuman isolates. Multivariate analysis of variance, a form of discriminant analysis, successfully differentiated the isolates and placed them in the appropriate source groups. Taken together, our results indicate that rep-PCR performed with the BOX A1R primer may be a useful and effective tool for rapidly determining sources of fecal pollution.

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12

Bond, John W. "Maximising the Opportunities to Detect Domestic Burglary with DNA and Fingerprints." International Journal of Police Science & Management 9, no. 3 (September 2007): 287–98. http://dx.doi.org/10.1350/ijps.2007.9.3.287.

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The impact on the detection and reduction of domestic burglary by a prioritisation of forensic resources and processing over a six-month study period is examined. Targets were set and monitored for the twin factors of increased attendance at crime scenes and increased timeliness of processing both DNA and fingerprint samples. The results showed that it is possible to increase the number of primary detections derived from DNA and fingerprints with the DNA increase being statistically significant. This increase was accompanied by a decrease in reported domestic burglaries. After its completion, the longer term effect of the study on domestic burglary revealed a return to pre-study levels for both DNA and fingerprint detections although continuing reductions in DNA process times enable an increasing number of crimes to be detected with DNA. The results illustrate how a police force may run a focused forensic initiative to provide a short-term prioritisation on a ‘problem’ crime type such as burglary or auto crime where DNA and fingerprints can make a significant contribution to crime detection.

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13

Johnson, LeeAnn K., Mary B. Brown, Ethan A. Carruthers, John A. Ferguson, Priscilla E. Dombek, and Michael J. Sadowsky. "Sample Size, Library Composition, and Genotypic Diversity among Natural Populations of Escherichia coli from Different Animals Influence Accuracy of Determining Sources of Fecal Pollution." Applied and Environmental Microbiology 70, no. 8 (August 2004): 4478–85. http://dx.doi.org/10.1128/aem.70.8.4478-4485.2004.

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ABSTRACT A horizontal, fluorophore-enhanced, repetitive extragenic palindromic-PCR (rep-PCR) DNA fingerprinting technique (HFERP) was developed and evaluated as a means to differentiate human from animal sources of Escherichia coli. Box A1R primers and PCR were used to generate 2,466 rep-PCR and 1,531 HFERP DNA fingerprints from E. coli strains isolated from fecal material from known human and 12 animal sources: dogs, cats, horses, deer, geese, ducks, chickens, turkeys, cows, pigs, goats, and sheep. HFERP DNA fingerprinting reduced within-gel grouping of DNA fingerprints and improved alignment of DNA fingerprints between gels, relative to that achieved using rep-PCR DNA fingerprinting. Jackknife analysis of the complete rep-PCR DNA fingerprint library, done using Pearson's product-moment correlation coefficient, indicated that animal and human isolates were assigned to the correct source groups with an 82.2% average rate of correct classification. However, when only unique isolates were examined, isolates from a single animal having a unique DNA fingerprint, Jackknife analysis showed that isolates were assigned to the correct source groups with a 60.5% average rate of correct classification. The percentages of correctly classified isolates were about 15 and 17% greater for rep-PCR and HFERP, respectively, when analyses were done using the curve-based Pearson's product-moment correlation coefficient, rather than the band-based Jaccard algorithm. Rarefaction analysis indicated that, despite the relatively large size of the known-source database, genetic diversity in E. coli was very great and is most likely accounting for our inability to correctly classify many environmental E. coli isolates. Our data indicate that removal of duplicate genotypes within DNA fingerprint libraries, increased database size, proper methods of statistical analysis, and correct alignment of band data within and between gels improve the accuracy of microbial source tracking methods.

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14

Lavi, U., J. Hillel, A. Vainstein, E. Lahav, and D. Sharon. "Application of DNA Fingerprints for Identification and Genetic Analysis of Avocado." Journal of the American Society for Horticultural Science 116, no. 6 (November 1991): 1078–81. http://dx.doi.org/10.21273/jashs.116.6.1078.

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Application of four DNA fingerprint probes to avocado (Persea americana Mill.) resulted in identification of various cultivars, characterization of the three avocado races, and a genetic analysis of family structure. Genomic DNA from 14 cultivars was probed with four DNA fingerprint probes. Three of the probes gave well-resolved bands. The individual-specific patterns obtained for each cultivar validate the use of this technique for definitive cultivar characterization, with the probability of obtaining a similar pattern for two different cultivars being 2 × 10-9. DNA mixes representing either Mexican, Guatemalan, or West-Indian avocado races were hybridized with the DNA fingerprint probes, and a band pattern characteristic for each race was obtained. Progeny of a cross between the cultivars Ettinger and Pinkerton were analyzed. Their DNA fingerprints revealed one pair of linked bands and another band allelic to one of them. The application of these observations to identification, evolutionary studies, and breeding is discussed.

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15

Bose, Palash Kumar, and Mohammad Jubaidul Kabir. "Fingerprint: A Unique and Reliable Method for Identification." Journal of Enam Medical College 7, no. 1 (January 30, 2017): 29–34. http://dx.doi.org/10.3329/jemc.v7i1.30748.

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Fingerprints have been the gold standard for personal identification within the forensic community for more than one hundred years. It is still universal in spite of discovery of DNA fingerprint. The science of fingerprint identification has evolved over time from the early use of finger prints to mark business transactions in ancient Babylonia to their use today as core technology in biometric security devices and as scientific evidence in courts of law throughout the world. The science of fingerprints, dactylography or dermatoglyphics, had long been widely accepted, and well acclaimed and reputed as panacea for individualization, particularly in forensic investigations. Human fingerprints are detailed, unique, difficult to alter, and durable over the life of an individual, making them suitable as lifelong markers of human identity. Fingerprints can be readily used by police or other authorities to identify individuals who wish to conceal their identity, or to identify people who are incapacitated or deceased, as in the aftermath of a natural disasterJ Enam Med Col 2017; 7(1): 29-34

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16

Miller, J. A. "DNA Fingerprints to Aid Sleuths." Science News 128, no. 25/26 (December 21, 1985): 390. http://dx.doi.org/10.2307/3969856.

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17

MacLeod, Roderick A. F. "DNA fingerprints of cell lines." Nature 359, no. 6397 (October 1992): 681. http://dx.doi.org/10.1038/359681b0.

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18

Stacey, Glyn N., Bryan J. Bolton, and Alan Doyle. "DNA fingerprints of cell lines." Nature 359, no. 6397 (October 1992): 681–82. http://dx.doi.org/10.1038/359681c0.

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19

Devlin, B., Neil Risch, and Kathryn Roeder. "Forensic Inference from DNA Fingerprints." Journal of the American Statistical Association 87, no. 418 (June 1992): 337–50. http://dx.doi.org/10.1080/01621459.1992.10475213.

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20

Gill, Peter, Alec J. Jeffreys, and David J. Werrett. "Forensic application of DNA ‘fingerprints’." Nature 318, no. 6046 (December 1985): 577–79. http://dx.doi.org/10.1038/318577a0.

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21

Newmark, Peter. "Biotechnology: DNA fingerprints go commercial." Nature 321, no. 6066 (May 1986): 104. http://dx.doi.org/10.1038/321104b0.

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22

Fliegerova, K., S. Pazoutova, V. Kostyukovsky, and J. Kopecny. "DNA fingerprints of anaerobic fungi." CrossRef Listing Of Deleted DOIs 45, Suppl. 1 (1996): 341. http://dx.doi.org/10.1051/rnd:19960670.

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23

Fliegerova, K., S. Pazoutova, V. Kostyukovsky, and J. Kopecny. "DNA fingerprints of anaerobic fungi." Annales de Zootechnie 45, Suppl. 1 (1996): 341. http://dx.doi.org/10.1051/animres:19960670.

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24

Merz, Beverly. "DNA Fingerprints Come to Court." JAMA: The Journal of the American Medical Association 259, no. 15 (April 15, 1988): 2193. http://dx.doi.org/10.1001/jama.1988.03720150001001.

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25

Merz, B. "DNA fingerprints come to court." JAMA: The Journal of the American Medical Association 259, no. 15 (April 15, 1988): 2193–94. http://dx.doi.org/10.1001/jama.259.15.2193.

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26

Weiss, Mark L. "DNA fingerprints in physical anthropology." American Journal of Human Biology 1, no. 5 (1989): 567–79. http://dx.doi.org/10.1002/ajhb.1310010507.

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27

Broncová, Gabriela, and Tereza Slaninová. "Visualization Methods of Latent Fingerprints on Metal Substrates/Cartridges." Chemické listy 116, no. 10 (October 15, 2022): 599–606. http://dx.doi.org/10.54779/chl20220599.

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Despite the development of DNA analysis methods, fingerprint comparisons are still the most common and credible way to identify people when clarifying crimes and other forensically relevant events. Visualization of fingerprints applied to a metal surface, which may be curved (most often cartridges), often represents a difficult task, so that new methods are constantly being developed to get a high-quality visibility of fingerprints. This work describes the most important methods of visualization of fingerprints applied on metal substrates and especially on cartridge cases. So far, there is no suitable technique for making fingerprints visible on fired cartridges. Gun blue techniques, combined techniques with cyanoacrylate and, more recently, electrochemical deposition of polymer films potentiostatically or by cyclic voltammetry, which are fast, cheap and usable in the field, represent a promising way.

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28

Milgroom, M. G., S. E. Lipari, and W. A. Powell. "DNA fingerprinting and analysis of population structure in the chestnut blight fungus, Cryphonectria parasitica." Genetics 131, no. 2 (June 1, 1992): 297–306. http://dx.doi.org/10.1093/genetics/131.2.297.

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Abstract We analyzed DNA fingerprints in the chestnut blight fungus, Cryphonectria parasitica, for stability, inheritance, linkage and variability in a natural population. DNA fingerprints resulting from hybridization with a dispersed moderately repetitive DNA sequence of C. parasitica in plasmid pMS5.1 hybridized to 6-17 restriction fragments per individual isolate. In a laboratory cross and from progeny from a single perithecium collected from a field population, the presence/absence of 11 fragments in the laboratory cross and 12 fragments in the field progeny set segregated in 1:1 ratios. Two fragments in each progeny set cosegregated; no other linkage was detected among the segregating fragments. Mutations, identified by missing bands, were detected for only one fragment in which 4 of 43 progeny lacked a band present in both parents; no novel fragments were detected in any progeny. All other fragments appeared to be stably inherited. Hybridization patterns did not change during vegetative growth or sporulation. However, fingerprint patterns of single conidial isolates of strains EP155 and EP67 were found to be heterogenous due to mutations that occurred during culturing in the laboratory since these strains were first isolated in 1976-1977. In a population sample of 39 C. parasitica isolates, we found 33 different fingerprint patterns with pMS5.1. Most isolates differed from all other isolates by the presence or absence of several fragments. Six fingerprint patterns each occurred twice. Isolates with identical fingerprints occurred in cankers on the same chestnut stems three times; isolates within the other three pairs were isolated from cankers more than 5 m apart. The null hypothesis of random mating in this population could not be rejected if the six putative clones were removed from the analysis. Thus, a rough estimate of the clonal fraction of this population is 6 in 39 isolates (15.4%).

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29

Ms. Shivangi U. Singh and Dr. Sandeep S. Kadu. "Pattern of Different Types of Fingerprints amongst the Community- an Observational Cross Sectional Study." VIMS Health Science Journal 7, no. 2 (June 1, 2020): 50–53. http://dx.doi.org/10.46858/vimshsj.7202.

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Background: No two people have exactly the same fingerprints. Even identical twins, with identical DNA, have different fingerprints. This uniqueness allows fingerprints to be used in all sort of ways, including background checks, biometric security, mass disaster identification, and of course, in criminal situations. This scientific examination of fingerprints for identification purposes is known as dactylography. Aim: To prove the uniqueness and study various pattern of fingerprint in an individual. Objectives: 1) To study pattern of fingerprints for identification of an individual, 2) To study different types of fingerprints and keep statistical data of loops, whorls, arches and compound/composite in a group of individual, and 3) To study different methods of fingerprinting in an individual. Methodology: The study was conducted among individuals under the age group of 25-40 years, including 50 males and 50 females. The study was conducted based on Henry Galton method. The fingerprints were taken by means of an ink pad on a blank sheet; a magnifying glass was used for clarity of the finger impressions. Result: There are 4 types of fingerprints namely loops-52.16%, whorls-34.99%, composite-10.04% and arches-2.81%. Conclusion: On this basis uniqueness of fingerprints was proved. Fingerprints are considered as secondary evidence in the court of law, even though it is used as a primary and the most basic source of identification of an individual. Also according to our study the percentage of types of fingerprints varied.

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Burger, Marion, Salmo Raskin, Sonia R. Brockelt, Beate Amthor, Heinrich K. Geiss, and Walter H. Haas. "DNA Fingerprinting of Mycobacterium tuberculosis Complex Culture Isolates Collected in Brazil and Spotted onto Filter Paper." Journal of Clinical Microbiology 36, no. 2 (1998): 573–76. http://dx.doi.org/10.1128/jcm.36.2.573-576.1998.

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The usefulness of filter paper for preservation of bacterial cells was shown by mixed-linker DNA fingerprint analysis ofMycobacterium tuberculosis isolates from 77 Brazilian patients. DNA fingerprints of samples spotted onto filter paper and conventional culture material were identical. Thus, filter paper specimens analyzed by an amplification-based typing method provide a new resource for epidemiological studies of infectious diseases.

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31

Vainstein, A., and H. Ben-Meir. "DNA Fingerprint Analysis of Roses." Journal of the American Society for Horticultural Science 119, no. 5 (September 1994): 1099–103. http://dx.doi.org/10.21273/jashs.119.5.1099.

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Mini- and microsatellite probes were hybridized to DNA of 24 rose (Rosa×hybrida) genotypes. The resultant DNA fingerprints were shown to be genotype-specific, thereby enabling cultivar identification at the DNA level. Restriction enzyme Dra I yielded the most informative band patterns. Full-sib family analysis of DNA fingerprints revealed 32 parental-specific bands out of the 128 observed in the parents. These bands were revealed cumulatively by phage (M13), human (33.6), and oligonucleotide (GACA)4 probes. Only one pair of these loci was found to be allelic, and no linked pairs were detected in the progeny analyzed. The probability of two offspring from this cross having identical DNA fingerprints was calculated to be 2 × 10-8.

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Thachil, Anil J., Binu T. Velayudhan, Vanessa C. Lopes-Berkas, David A. Halvorson, and Kakambi V. Nagaraja. "Application of Polymerase Chain Reaction Fingerprinting to Differentiate Ornithobacterium Rhinotracheale Isolates." Journal of Veterinary Diagnostic Investigation 19, no. 4 (July 2007): 417–20. http://dx.doi.org/10.1177/104063870701900415.

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Ornithobacterium rhinotracheale (ORT) is an infectious respiratory pathogen of chickens, turkeys, and wild birds. There are 18 serotypes of ORT reported worldwide. In this study, enterobacterial repetitive intergenic consensus (ERIC) polymerase chain reaction and random amplified polymorphic DNA assay with Universal M13 primer-based fingerprinting techniques were investigated for their ability to differentiate ORT isolates. The authors examined 50 field isolates and 8 reference strains of ORT for their genetic differences. The fingerprint patterns were compared with serotyping results of ORT by the agar gel precipitation test. M13 fingerprinting revealed different patterns for 6 reference serotypes of ORT that were tested, namely, C, D, E, I, J, and K. Ornithobacterium rhinotracheale reference serotypes A and F yielded indistinguishable fingerprints with M13 fingerprinting. The ERIC 1R technique discerned only 5 of the 8 reference serotypes of ORT. Distinct fingerprints were also found within the ORT serotypes with both techniques. From 58 isolates of ORT that were fingerprinted belonging to 8 ORT serotypes, 10 different fingerprints were obtained with M13 fingerprinting and 6 different fingerprints were obtained with ERIC 1R fingerprinting. M13 fingerprinting technique was found to be more discriminative in differentiating ORT isolates than the ERIC 1R fingerprinting technique. These results suggest that fingerprinting techniques may be a more discerning tool for characterizing ORT isolates than the serological test using the agar gel precipitation test. This fingerprinting technique could potentially be a valuable tool in identifying an isolate from a clinical outbreak of ORT infection for development of an autogenous vaccine.

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33

Zamir, Ashira, Baruch Springer, and Baruch Glattstein. "Fingerprints and DNA: STR Typing of DNA Extracted from Adhesive Tape after Processing for Fingerprints." Journal of Forensic Sciences 45, no. 3 (May 1, 2000): 14749J. http://dx.doi.org/10.1520/jfs14749j.

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McAlpin, Cesaria E., and Donald T. Wicklow. "DNA fingerprinting analysis ofPetromyces alliaceus(AspergillussectionFlavi)." Canadian Journal of Microbiology 51, no. 12 (December 1, 2005): 1039–44. http://dx.doi.org/10.1139/w05-097.

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The objective of this study was to evaluate the ability of the Aspergillus flavus pAF28 DNA probe to produce DNA fingerprints for distinguishing among genotypes of Petromyces alliaceus (Aspergillus section Flavi), a fungus considered responsible for the ochratoxin A contamination that is occasionally observed in California fig orchards. P. alliaceus (14 isolates), Petromyces albertensis (one isolate), and seven species of Aspergillus section Circumdati (14 isolates) were analyzed by DNA fingerprinting using a repetitive sequence DNA probe pAF28 derived from A. flavus. The presence of hybridization bands with the DNA probe and with the P. alliaceus or P. albertensis genomic DNA indicates a close relationship between A. flavus and P. alliaceus. Twelve distinct DNA fingerprint groups or genotypes were identified among the 15 isolates of Petromyces. Conspecificity of P. alliaceus and P. albertensis is suggested based on DNA fingerprints. Species belonging to Aspergillus section Circumdati hybridized only slightly at the 7.0-kb region with the repetitive DNA probe, unlike the highly polymorphic hybridization patterns obtained from P. alliaceus and A. flavus, suggesting very little homology of the probe to Aspergillus section Circum dati genomic DNA. The pAF28 DNA probe offers a tool for typing and monitoring specific P. alliaceus clonal populations and for estimating the genotypic diversity of P. alliaceus in orchards, vineyards, or crop fields.Key words: Aspergillus alliaceus, Circumdati, DNA probe, genotypic diversity, hybridization patterns, ochratoxin, Southern blot.

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35

Yoshida, Masao, T. Shimada, and M. Yanaguchi. "Phylogenetic Studies on Prunus Species by DNA Fingerprints." HortScience 30, no. 4 (July 1995): 762G—763. http://dx.doi.org/10.21273/hortsci.30.4.762g.

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Twenty-eight Prunus species were examined in order to survey their genetic diversity. Genomic DNA was extracted from 36 varieties and used for the template DNA of PCR. DNA fingerprints were generated by random primers or semi-random primers, some primers consensus to the repeated units as telomers, and three sets of sequence-tagged primers specific to domains of chloroplast DNA (psbA, rbcL-ORF106, atpB-rbcL). PCR products generated from these three domains were digested by 12 restriction enzymes. RFLPs were detected among varieties and subjected to the UPGMA. Thirty-six varieties were classified approximately into two groups: “Plum group” and “Cherry group.” It was inferred that these two groups were divided in old time. P. tomentosa, P. japonica, P. glandurosa, and P. besseyi, which are classified into the cherries, showed the same fingerprint patterns from chloroplast DNA of the plum group; plums and cherries have a large genetic diversity. It was supposed that the diversity of plums depended on nuclear DNA, besides the diversity of cherries on both nuclear and chloroplast DNA.

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Portillo, M. C., D. Villahermosa, A. Corzo, and J. M. Gonzalez. "Microbial Community Fingerprinting by Differential Display-Denaturing Gradient Gel Electrophoresis." Applied and Environmental Microbiology 77, no. 1 (November 12, 2010): 351–54. http://dx.doi.org/10.1128/aem.01316-10.

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ABSTRACTComplex microbial communities exhibit a large diversity, hampering differentiation by DNA fingerprinting. Herein, differential display-denaturing gradient gel electrophoresis is proposed. By adding a nucleotide to the 3′ ends of PCR primers, 16 primer pairs and fingerprints were generated per community. Complexity reduction in each partial fingerprint facilitates sample comparison.

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Erickson, Deborah. "Do DNA Fingerprints Protect the Innocent?" Scientific American 265, no. 2 (August 1991): 18. http://dx.doi.org/10.1038/scientificamerican0891-18.

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JEFFREYS, ALEC J. "Highly variable minisatellites and DNA fingerprints." Biochemical Society Transactions 15, no. 3 (June 1, 1987): 309–17. http://dx.doi.org/10.1042/bst0150309.

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Ebbage, A. "A Step Beyond Fingerprints [DNA phenotyping]." Engineering & Technology 14, no. 12 (December 1, 2019): 50–53. http://dx.doi.org/10.1049/et.2019.1203.

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Lewin, R. "DNA fingerprints in health and disease." Science 233, no. 4763 (August 1, 1986): 521–22. http://dx.doi.org/10.1126/science.3726544.

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Jeffreys, A. J., V. Wilson, and S. L. Thein. "Individual-specific ‘fingerprints’ of human DNA." Nature 316, no. 6023 (July 1985): 76–79. http://dx.doi.org/10.1038/316076a0.

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TAKAGI, Kaoru, Kiyoshi TSUCHIYA, Shigehisa TSUMAGARI, Masatoshi TAKEISHI, Tomio YOSHII, and Ikuo ISHIYAMA. "Variability of DNA Fingerprints in Beagles." Journal of Reproduction and Development 41, no. 1 (1995): 97–101. http://dx.doi.org/10.1262/jrd.41.97.

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JEFFREYS, A. J., and D. B. MORTON. "DNA fingerprints of dogs and cats." Animal Genetics 18, no. 1 (April 24, 2009): 1–15. http://dx.doi.org/10.1111/j.1365-2052.1987.tb00739.x.

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TAGGART, J. B., and A. FERGUSON. "Minisatellite DNA fingerprints of salmonid fishes." Animal Genetics 21, no. 4 (August 1990): 377–89. http://dx.doi.org/10.1111/j.1365-2052.1990.tb01982.x.

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WATT, E. M., and V. M. WATT. "DNA fingerprints from minimal blood volumes." Molecular Ecology 1, no. 2 (August 1992): 131–32. http://dx.doi.org/10.1111/j.1365-294x.1992.tb00165.x.

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Small, Peter M., Hugh Salamon, and Mark R. Segal. "Comparing DNA Fingerprints of Infectious Organisms." Statistical Science 15, no. 1 (February 2000): 27–45. http://dx.doi.org/10.1214/ss/1009212672.

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Lesur, C., A. Becher, K. Wolff, K. Weising, K. Steinmetz, D. Peltier, and S. Boury. "DNA FINGERPRINTS FOR PELARGONIUM CULTIVAR IDENTIFICATION." Acta Horticulturae, no. 546 (February 2001): 325–30. http://dx.doi.org/10.17660/actahortic.2001.546.40.

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Van Brunt, Jennifer. "Are DNA Fingerprints Admissible in Court?" Nature Biotechnology 6, no. 11 (November 1988): 1271. http://dx.doi.org/10.1038/nbt1188-1271.

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Krautbauer, Rupert, Stefan Fischerländer, Stephanie Allen, and Hermann E. Gaub. "Mechanical Fingerprints of DNA Drug Complexes." Single Molecules 3, no. 2-3 (June 2002): 97–103. http://dx.doi.org/10.1002/1438-5171(200206)3:2/3<97::aid-simo97>3.0.co;2-s.

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Phillips, D. V., I. Carbone, S. E. Gold, and L. M. Kohn. "Phylogeography and Genotype-Symptom Associations in Early and Late Season Infections of Canola by Sclerotinia sclerotiorum." Phytopathology® 92, no. 7 (July 2002): 785–93. http://dx.doi.org/10.1094/phyto.2002.92.7.785.

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Both typical late season stem infections and atypical early season rosette infections of canola, a relatively new crop in the southeastern United States, were caused by Sclerotinia sclerotiorum. The 51 DNA fingerprints (from 71 isolates) did not match any fingerprints from previous studies of canola or other crops. Single locus haplotypes from nuclear DNA sequences included 18 in the intergenic spacer (IGS) of the rRNA repeat, four in 44.11, six in translation elongation factor 1α, three in calmodulin (CAL), and two in chitin synthase 1. Contingency permutation testing for associations of infection type with DNA fingerprint, single- or multilocus haplotype, or hierarchically nested clades based on single locus haplotypes found significant association of haplotype with mycelial compatibility group and DNA fingerprint for all loci except CAL. Significant association of IGS haplotypes with symptom type was detected in one pathogen population. Southeastern U.S. canola was infected by both recently evolved, geographically dispersed pathogen genotypes and older, indigenous genotypes (Carbone and Kohn, 2001. Mol. Ecol. 10:947–964). Indigenous haplotypes are infection-type generalists, and the most frequently isolated from rosette infections. In contrast, haplotypes from the most recently evolved, dispersed population were associated one-to-one with infection type, with only the most recently evolved haplotypes infecting rosettes.

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