Authentication of Brazilian Ginseng using Bar-HRM analysis

Abstract Hebanthe eriantha (Martius) Kuntze and Pfaffia glomerata (Spreng) Pedersen are medicinal plants popularly known as "Brazilian Ginseng" due to their similarity to Panax ginseng. In Brazil, they are sold as the same herb, despite their different pharmacological and toxicological properties. The morphological identification is difficult, which facilitates their adulteration. We report the application of the Barcode DNA High-Resolution Melting (Bar-HRM) using matK gene to differentiate both species in samples sold in the Brazilian market. Using the proposed method, we could discriminate and identify both species. Bar-HRM analysis allowed discriminating and identifying both species. It allowed the identification of H. eriantha and P. glomerata in 43.6% and 56.4% of the amplified samples, respectively. Of these, only seven samples were authenticated and, in 71.4% of the cases, adulterated. We concluded that Bar-HRM has proven to be a fast alternative method to authenticate plants under the common name "Brazilian Ginseng".

Molecular dynamics of the COVID-19 pandemic in Espirito Santo (Brazil) and border States.

This study represents the first overview of the epidemiological dynamics of SARS-CoV-2 in Espirito Santo (ES) State, Brazil, filling in knowledge on this topic, observing data collected in the State, and aiming at understanding the epidemiological dynamics of the virus in ES, as well as its possible routes of transmission and dissemination. . Our results highlight that, so far, nine lineages have been identified with ES State. The B.1.1.33 lineage was the first with the highest occurrence in ES, remaining predominant until September 2020. The second predominant lineage was Gamma, representing 45% of the samples. The Delta lineage appears on the State scene, proving to be the next dominant lineage. This research allowed us to understand how the lineages advanced and were distributed in the State, which is important for future work, also making it possible to guide sanitary control measures. Data analyses were made through the GISAID database for ES State showed that the pandemic in the State has been evolving dynamically with lineage replacements over the months since the first notification.

Molecular dynamics of the COVID-19 pandemic in Espirito Santo (Brazil) and border States

ABSTRACT This study represents the first overview of the epidemiological dynamics of SARS-CoV-2 in Espirito Santo (ES) State, Brazil, filling in knowledge on this topic, observing data collected in the State, and aiming at understanding the epidemiological dynamics of the virus in ES, as well as its possible routes of transmission and dissemination. . Our results highlight that, so far, nine lineages have been identified with ES State. The B.1.1.33 lineage was the first with the highest occurrence in ES, remaining predominant until September 2020. The second predominant lineage was Gamma, representing 45% of the samples. The Delta lineage appears on the State scene, proving to be the next dominant lineage. This research allowed us to understand how the lineages advanced and were distributed in the State, which is important for future work, also making it possible to guide sanitary control measures. Data analyses were made through the GISAID database for ES State showed that the pandemic in the State has been evolving dynamically with lineage replacements over the months since the first notification.

Using high-resolution melting to identify Calliphoridae (blowflies) species from Brazil.

Forensic entomology is the study of insects and other arthropods used in the solution of crimes. Most of entomological evidences strongly depend on accurate species identification. Therefore, new methods are being developed due to difficulties in morphological identification, including molecular methods such as High-Resolution Melting. In this study, we reported a new HRM primer set to identify forensically important Calliphoridae (blowflies) from Brazil. For such purpose, Calliphoridae species of forensic importance in Brazil were listed and confirmed by specialists. Mitochondrial COI sequences of those species were downloaded from databases and aligned, and polymorphic variations were selected for distinction between species. Based on it, HRM primers were designed. Forty-three fly samples representing six species were tested in the HRM assay. All samples had the COI gene sequenced to validate the result. Identifying and differentiating the six species proposed using a combination of two amplicons was possible. The protocol was effective even for old insect specimens, collected and preserved dried for more than ten years, unlike the DNA sequencing technique that failed for those samples. The HRM technique proved to be an alternative tool to DNA sequencing, with advantage of amplifying degraded samples and being fast and cheaper than the sequencing technique.

Using DNA barcodes to identify forensically important species of Diptera in Espírito Santo State, Brazil

ABSTRACT Accurate insect specimen identification is usually a crucial first step in a forensic entomological analysis. It is traditionally done by morphological classification using identification keys. However, due to sensibility limitations in the identification of animal species based only on their morphology, new methods have been developed, including species identification by DNA barcodes. The objective of this study was to identify forensically important species of Diptera in Espirito Santo state using DNA barcodes. For this, adult flies were collected in Espirito Santo, Southeast Region of Brazil. After DNA extraction, COI gene was amplified and sequenced. All sequences were matched to BOLD platform and alternatively to GenBank MegaBLAST. As result, 281 adult flies were collected and identified morphologically. From these, 36% of samples were classified as Calliphoridae, 34% of Muscidae and 30% of Sarcophagidae. Approximately 10% of all collected samples were analyzes by DNA. It was possible to identify only 35.7% of tested samples, probably due to lack of samples deposited in databases. Therefore, more efforts should be made to deposit a greater variety of dipterous in databases to allow the use of this technique in forensic routine, especially in BOLD.

Applying GIS to develop a model for forest fire risk: A case study in Espírito Santo, Brazil.

A forest fire risk map is a basic element for planning and protecting forested areas. The main goal of this study was to develop a statistical model for preparing a forest fire risk map using GIS. Such model is based on assigning weights to nine variables divided into two classes: physical factors of the site (terrain slope, land-use/occupation, proximity to roads, terrain orientation, and altitude) and climatic factors (precipitation, temperature, water deficit, and evapotranspiration). In regions where the climate is different from the conditions of this study, the model will require an adjustment of the variables weights according to the local climate. The study area, Espírito Santo State, exhibited approximately 3.81% low risk, 21.18% moderate risk, 30.10% high risk, 41.50% very high risk, and 3.40% extreme risk of forest fire. The areas classified as high risk, very high and extreme, contemplated a total of 78.92% of heat spots.

Designing primers for SNaPshot technique.

The SNaPshot technique, also known as minisequencing, is a primer extension-based method developed for the analysis of Single Nucleotide Polymorphisms (SNPs). Using this technique, it is possible to analyze more than 50 SNPs distributed throughout the genome in a single multiplex reaction, making it an advantage when compared with traditional sequencing reaction. In this chapter, you will find a step-by-step guide to design a multiplex primer assay for SNaPshot reaction.

Development and validation of a D-loop mtDNA SNP assay for the screening of specimens in forensic casework.

Mitochondrial DNA (mtDNA) analysis is usually a last resort in routine forensic DNA casework. However, it has become a powerful tool for the analysis of highly degraded samples or samples containing too little or no nuclear DNA, such as old bones and hair shafts. The gold standard methodology still constitutes the direct sequencing of polymerase chain reaction (PCR) products or cloned amplicons from the HVS-1 and HVS-2 (hypervariable segment) control region segments. Identifications using mtDNA are time consuming, expensive and can be very complex, depending on the amount and nature of the material being tested. The main goal of this work is to develop a less labour-intensive and less expensive screening method for mtDNA analysis, in order to aid in the exclusion of non-matching samples and as a presumptive test prior to final confirmatory DNA sequencing. We have selected 14 highly discriminatory single nucleotide polymorphisms (SNPs) based on simulations performed by Salas and Amigo (2010) to be typed using SNaPShot(TM) (Applied Biosystems, Foster City, CA, USA). The assay was validated by typing more than 100 HVS-1/HVS-2 sequenced samples. No differences were observed between the SNP typing and DNA sequencing when results were compared, with the exception of allelic dropouts observed in a few haplotypes. Haplotype diversity simulations were performed using 172 mtDNA sequences representative of the Brazilian population and a score of 0.9794 was obtained when the 14 SNPs were used, showing that the theoretical prediction approach for the selection of highly discriminatory SNPs suggested by Salas and Amigo (2010) was confirmed in the population studied. As the main goal of the work is to develop a screening assay to skip the sequencing of all samples in a particular case, a pair-wise comparison of the sequences was done using the selected SNPs. When both HVS-1/HVS-2 SNPs were used for simulations, at least two differences were observed in 93.2% of the comparisons performed. The assay was validated with casework samples. Results show that the method is straightforward and can be used for exclusionary purposes, saving time and laboratory resources. The assay confirms the theoretic prediction suggested by Salas and Amigo (2010). All forensic advantages, such as high sensitivity and power of discrimination, as also the disadvantages, such as the occurrence of allele dropouts, are discussed throughout the article.

Recent patents on high-throughput single nucleotide polymorphism (SNP) genotyping methods.

Single nucleotide polymorphisms (SNPs) are single-base inheritable variations in a given and defined genetic location that occur in at least 1% of the population. SNPs are useful markers for genetic association studies in disease susceptibility or adverse drug reactions, in evolutionary studies and forensic science. Given the potential impact of SNPs, the biotechnology industry has focused on the development of high-throughput methods for SNP genotyping. Many highthroughput SNP genotyping technologies are currently available and many others are being patented recently. Each offers a unique combination of scale, accuracy, throughput and cost. In this review, we described some of the most important recent SNP genotyping methods and also recent patents associated with it.

Genetic data of 15 autosomal STR loci: an analysis of the Araraquara population colonization (São Paulo, Brazil).

The genetic markers most commonly utilized to determine identity and in paternity testing are autosomal short tandem repeats (STRs); to interpret the DNA analysis, the results of a case have to be compared with a pertinent reference population. Thus, the aim of this work was to characterize the genetic profile of the population of Araraquara (São Paulo, Brazil) by analyzing 15 STR loci included in the PowerPlex(®) 16 System and to correlate these data with the migration history of the population. No deviations from the Hardy-Weinberg equilibrium were observed for any of the loci, after Bonferroni's correction. Forensic parameters exhibited high values, the most polymorphic loci being Penta E, D18S51 and FGA. An unweighted pair-group method with arithmetic mean (UPGMA) tree based on genetic distances showed that the current population of Araraquara is grouped with populations of the southeastern region of Brazil, which are close to the European group but distant from African and Amerindian populations. Estimates of admixture components revealed that the contributions to the population of Araraquara were 76% European, 18% African, and 6% Amerindian.

Oncogene-induced transcriptional patterns in established cell lines as a model for in vitro analysis of tumor biology.

Established cell lines have long been used for in vitro studies of tumor biology, enabling investigators to control growth conditions and to draw important conclusions about the oncogenic microenvironment. However, gene expression behavior in cultured cells may not always reflect the actual in vivo scenario, and analysis derived from such experiments should take into consideration the existing differences between the two environments. We used suppression subtractive hybridization to study transcriptional changes elicited after oncogene transformation and cell line establishment. We found that transcriptional changes elicited in cultured cell lines are in fact representative of late events, and they do not occur early after oncogene transfection or activation. We also determined that a fraction of the transcriptional changes is oncogene specific, whereas other changes are shared between two or more different oncogenes.