β-Glucosidase was purified from Brassica oleracea by salting out with ammonium sulfate and hydrophobic interaction chromatography. Results demonstrated that the enzyme is a dimer (130 kD) made up of one major (80 kD) and one minor subunit (50 kD). The pH optimum is 6.0, with 50% of the enzyme's original activity remaining between pH 4.0 and pH 7.0. The temperature optimum is 35C, and activity did not decrease after two hours of exposure to this temperature. The activity of the enzyme was investigated on four substrates, 4-Nitrophenyl β-D-glucopyranoside (p-NPG), ortho-Nitrophenyl-β-D-glucopyranoside (o-NPG), para-Nitrophenyl-β-D-galactoside (p-NPGal) and ortho-Nitrophenyl-β-D-galactoside (o-NPGal), and km values were shown to be 0.755 mM, 0.174 mM, 0.988 mM and 0.213 mM, while Vmax values were 604 U/mg, 38 U/mg, 556 U/mg and 308 U/mg, respectively. The enzyme is completely inhibited by gluconolactone and glucose against p-NPG as substrate, with ki values of 0.038 mM and 0.64 mM, respectively. To our knowledge, this is the first study demonstrating purification and characterization of β-glucosidase from broccoli, thus providing a better understanding of its role in the plant, and establishing a basis for further research. Practical Applications To our knowledge, this is the first study demonstrating purification and characterization of β-glucosidase from broccoli, thus providing a better understanding of its role in the plant, and establishing a basis for further research. The results of this research highlight the potential of the enzyme isolated from broccoli for further research. Succeeding efforts would involve optimization of this procedure for increasing the enzyme yield, in order to make it a viable candidate for industrial application.

The relationship between single nucleotide polymorphisms (SNPs) and phenotypes is noisy and cryptic due to the abundance of genetic factors and the influence of environmental factors on complex traits, which makes the idea of applying artificial neural networks (ANNs) as universal approximates of complex functions promising. In this study, we compared different ANN architectures and input parameters to predict the adult length of Pacific lampreys, which is the primary indicator of their total migratory distance. Feedforward and simple recurrent network architectures with a different range of input parameters and different sizes of hidden layers were compared. Results indicate that the highest performing ANN had an accuracy of 67.5% in discriminating between long and short specimens. Sensitivity and specificity were 62.16% and 70.73%, respectively. Our results imply that feedforward ANN architecture with a single hidden neuron is enough to solve the problem of specimen classification. Nonetheless, while ANNs are useful at approximating functions with unknown relationships in the case of SNP data, additional work needs to be performed to ensure that the chosen SNP markers are related to functional regions related to the examined trait, as the use of non-specific markers will result in the introduction of noise into the dataset.

abstract In a study of the Bosnian-Herzegovinian (B&H) population, Y-chromosome marker frequencies for 100 individuals, generated using the PowerPlex Y23 kit, were used to perform Y-chromosome haplogroup assignment via Whit Athey's Haplogroup Predictor. This algorithm determines Y-chromosome haplogroups from Y-chromosome short tandem repeat (Y-STR) data using a Bayesian probability-based approach. The most frequent haplogroup appeared to be I2a, with a prevalence of 49%, followed by R1a and E1b1b, each accounting for 17% of all haplogroups within the population. Remaining haplogroups were J2a (5%), I1 (4%), R1b (4%), J2b (2%), G2a (1%), and N (1%). These results confirm previously published preliminary B&H population data published over 10 years ago, especially the prediction about the B&H population being a part of the Western Balkan area, which served as the Last Glacial Maximum refuge for the Paleolithic human European population. Furthermore, the results corroborate the hypothesis that this area was a significant stopping point on the “Middle East—Europe highway” during the Neolithic farmer migrations. Finally, since these results are almost completely in accordance with previously published data on B&H and neighboring populations generated by Y-chromosome single nucleotide polymorphism analysis, it can be concluded that in silico analysis of Y-STRs is a reliable method for approximation of the Y-chromosome haplogroup diversity of an examined population.

Analysis of Y-chromosome haplogroup distribution is widely used when investigating geographical clustering of different populations, which is why it plays an important role in population genetics, human migration patterns and even in forensic investigations. Individual determination of these haplogroups is mostly based on the analysis of single nucleotide polymorphism (SNP) markers located in the non-recombining part of Y-chromosome (NRY). On the other hand, the number of forensic and anthropology studies investigating short tandem repeats on the Y-chromosome (Y-STRs) increases rapidly every year. During the last few years, these markers have been successfully used as haplogroup prediction methods, which is why they have been used in this study. Previously obtained Y-STR haplotypes (23 loci) from 100 unrelated Turkish males recently settled in Sarajevo were used for the determination of haplogroups via 'Whit Athey's Haplogroup Predictor' software. The Bayesian probability of 90 of the studied haplotypes is greater than 92.2% and ranges from 51.4% to 84.3% for the remaining 10 haplotypes. A distribution of 17 different haplogroups was found, with the Y- haplogroup J2a being most prevalent, having been found in 26% of all the samples, whereas R1b, G2a and R1a were less prevalent, covering a range of 10% to 15% of all the samples. Together, these four haplogroups account for 63% of all Y-chromosomes. Eleven haplogroups (E1b1b, G1, I1, I2a, I2b, J1, J2b, L, Q, R2, and T) range from 2% to 5%, while E1b1a and N are found in 1% of all samples. Obtained results indicate that a large majority of the Turkish paternal line belongs to West Asia, Europe Caucasus, Western Europe, Northeast Europe, Middle East, Russia, Anatolia, and Black Sea Y-chromosome lineages. As the distribution of Y-chromosome haplogroups is consistent with the previously published data for the Turkish population residing in Turkey, it was concluded that the analyzed population could also be recognized as a representative sample of the Turkish population residing in Turkey.

Forensic botany refers to the application of plant biology disciplines in crime investigations. Since plants are widespread in most habitats, they often provide valuable clues in criminal investigations. Hence, the primary role of forensic botany is to establish a connection between the victim or suspect and the crime scene. The forensic applications of forensic botany include many aspects including recognition of plant evidence at the crime scene, collection and preservation of plant evidence, maintenance of the chain of custody, and a testimony for the admissibility of this evidence in court. For the development of new efficient methods for plant identification and individualization, the initial step is optimization of DNA isolation from plant material. The aim of this work is to optimize the DNA isolation protocol of different leaf and non-leaf plant tissues, including pollen grains, using the salting out method from Taraxacum officinale, a species of the Asteraceae family. Since the species is very common in ecosystems with antropogenic influence, the need to optimize the DNA isolation protocol is of high importance. The efficiency of the isolation protocol was evaluated using spectrophotometry (concentration and purity) and gel electrophoresis. The results demonstrate that salting out can be used for the isolation of DNA from Taraxacum officinale. However, optimization is required, depending on the part of the plant from which DNA is extracted.

Short tandem repeats (STRs) located on the Y-chromosome are a useful tool for various scientific fields, such as forensic investigation, but also for the investigation of population structure and molecular history. In this study, population data based on 23 Y-STR loci (DYS19, DYS389I, DYS389II, DYS390, DYS391, DYS392, DYS393, DYS385a/b, DYS437, DYS438, DYS439, DYS448, DYS456, DYS458, DYS635, GATAH4, DYS481, DYS533, DYS549, DYS570, DYS576, and DYS643) from 23 European human populations were compared. All haplotype data for this research were gathered from previously published articles. Arlequin v3.5.1.2, POPTREE2, and MEGA 5.1 software packages were used for the calculation of allelic frequencies and genetic distance, and the construction of the European, as well as worldwide phylogenetic trees. Obtained results indicate a formation of several distinct sub-clusters within European population cluster. Observed sub-clusters were mostly recognized within geographically closer populations, meaning that neighboring populations were a part of the same sub-cluster in most of the cases. Compared with the previously published results obtained using autosomal STR markers, a significant level of concordance was detected. However, it seems that Y-STRs analyzed in this study are more informative since they enabled regional clustering in addition to continental clustering. Also, the use of a larger number of loci yielded clustering that is more specific than what has been calculated to date. Finally, it can be concluded that this study has shown that the application of a larger number of loci enables the more detailed insight into the relationships between European populations, compared to what has been published before.

Abstract Although DNA genetic markers, including Y-chromosomal short tandem repeats (Y-STRs), are widely used in the analysis of population data, autosomal short tandem repeats (STRs) have a wide role in the investigation of human migration patterns throughout the history, genealogical research, and population genetics. In this review, allele frequencies of 13 autosomal STR loci (D3S1358, TH01, D21S11, D18S51, D5S818, D13S317, D7S820, D16S539, CSF1PO, vWA, D8S1179, TPOX, and FGA) have been reviewed in 64 different worldwide populations. Allele frequency data for 13 STR loci was collected from previously published scientific papers in the journal databases for each studied population and molecular genetic diversity among the 64 sample populations was compared. Further, a worldwide phylogenetic tree and genetic distance values were created using POPTREE2 software and UPGMA method. Results confirmed that the differences among local sub-populations are much smaller than the differences among geographically separated populations. The obtained results, as the researchers had expected, were in the compliance with previously published papers with the difference that the researchers used data on populations from all over the world and thus created a more detailed phylogenetic tree. In that way, the authors offer an insight into the global phylogenetic tree created on the basis of STR allele frequencies for the first time. The goal of this manuscript is to prove the usefulness of these 13 STR markers within the analysis of the genetic distance and its correlation with “geographically-based genetic clustering” among the worldwide populations.

The advent of the era of high-throughput sequencing has brought a wealth of biological data to researchers, but the vastness of the available data has created a demand for tools that could be used to analyze it. One such type of tools are gene set analysis tools, that take a list of genes that were found to be up or down regulated during an experiment. For the sake of simplicity this review focuses solely on freely available web based tools that have been published or have undergone significant updates in the last 5 years. This review is meant to assist tool developers to better understand the needs of the end-users, and in it we look at the currently available gene list analysis tools, their strengths and weaknesses, and offer suggestions for their improvement. Key words: microarray, gene set, systems biology, enrichment, gene ontology

Autosomal short tandem repeats (STRs) are the most widely used DNA markers in forensic investigation of the population history, human migration patterns, and genealogical research. In this study, the usefulness of 13 most widely used STR loci (D3S1358, TH01, D21S11, D18S51, D5S818, D13S317, D7S820, D16S539, CSF1PO, vWA, D8S1179, TPOX, and FGA) was examined along with the investigation of their application in the studies of the phylogeny of human populations. We compared allele frequencies of STR loci of the populations from the Balkan Peninsula to determine the similarities and differences among them and to determine how informative they are when it comes to the human identity testing. We made UPGMA phylogenetic tree using POPTREE2 software and Nei’s table of genetic distances using MEGA5.21 software. Additionally, MDS (multidimensional scaling) plot was generated using SPSS 20.0 software. The results implied that both geographical proximity and shared history are determining the strong clustering of the populations on the Balkans. Another conclusion drawn from this overview is that the studied STR markers are highly polymorphic and thus, satisfyingly informative to be used for human identity testing and phylogenetic research. Keywords: Balkan Peninsula, autosomal STRs, phylogenetic tree, genetic distance, clustering, population study

Autosomal short tandem repeats (STRs) are the most widely used DNA markers in forensic investigation of the population history, human migration patterns, and genealogical research. In this study, the usefulness of 13 most widely used STR loci (D3S1358, TH01, D21S11, D18S51, D5S818, D13S317, D7S820, D16S539, CSF1PO, vWA, D8S1179, TPOX, and FGA) was examined along with the investigation of their application in the studies of the phylogeny of human populations. We compared allele frequencies of STR loci of the populations from the Balkan Peninsula to determine the similarities and differences among them and to determine how informative they are when it comes to the human identity testing. We made UPGMA phylogenetic tree using POPTREE2 software and Nei’s table of genetic distances using MEGA5.21 software. Additionally, MDS (multidimensional scaling) plot was generated using SPSS 20.0 software. The results implied that both geographical proximity and shared history are determining the strong clustering of the populations on the Balkans. Another conclusion drawn from this overview is that the studied STR markers are highly polymorphic and thus, satisfyingly informative to be used for human identity testing and phylogenetic research.

THOUGH FIRST described in 1911 (Churchman),1the limy bile syndrome remains obscure. It is characterized by the presence of radiopaque material within the gallbladder or common duct.2,3On a single x-ray film it may cast a shadow indistinguishable from a normal cholecystogram. Limy bile is a synonym of milk of calcium bile of Volkmann.4This lime or calcium is usually calcium carbonate, less often, calcium phosphate, or calcium bilirubinate. Its source remains disputed. Three somewhat divergent origins, however, have been suggested. It may be precipitated from bile by an obstructed gallbladder5; it may be secreted by an abnormal gallbladder6; or it may be a product of abnormal liver function.7Some clinical and experimental evidence tends to support each view. Almost all agree, however, that it is associated with a degree of cystic duct obstruction.8Cystic duct stones are present in 75% of cases. The