Table of contents: 2022
Glutathione S‐transferases are detoxification enzymes that protect cells from oxidative stress and help maintain genomic integrity. GSTM and GSTT family genes may be deleted, causing reduced or no glutathione S-transferase activity so that electrophilic carcinogens cannot be eliminated efficiently. This genetic alteration affects cancer incidence and prognosis. We genotyped GSTM1 and GSTT1 in 87 Brazilian leukemia patients by multiplex PCR, divided into acute or chronic, and lymphocytic or myeloid type cancers. GSTM1-null and GSTT1-null frequency was significantly higher in chronicmyeloid leukemia (67.65% and 46.20%) and chroniclymphoid leukemia (29.41% and 12.30%) in relation to controls, respectively, than in non-leukemia controls. More than that, double null genotyping was significantly more present in acutelymphoid leukemia than controls. When individual GSTM1 and GSTT1 genotyping were analyzed, again CML and CLL presented significantly diferent in genotyping frequency compared to controls (11.11% and 3.8%). Double null genotypes were significantly more frequent in acute lymphoid leukemia than in controls. Furthermore, CML patients presented a statistically significant higher percentage of double-null and GSTM1-null genotypes, and CLL patients had a significantly higher frequency of GSTT1-null genotyping when compared to controls. We suggest that GST genotypes are an important risk factor for leukemia development in the Brazilian population, especially in chronic leukemia due to inefficient detoxification of oxidative stress products.
Cardiac fibrosis is common and detrimental in numerous heart diseases, affecting millions of patients worldwide. Cardiac fibrosis is characterized by excessive production of extracellular matrix (ECM) constituents such as fibrillar collagens, produced by activated cardiac fibroblasts, i.e.: myofibroblasts. Therapeutic targeting of cardiac fibrosis is highly attractive; however, it remains a major medical challenge. Fibromodulin is a small leucine-rich proteoglycan localized in the ECM. Fibromodulin binds to collagen fibrils, and plays a critical role in collagen fibrillogenesis, ECM organization, wound healing and regulation of the pro-fibrotic cytokine transforming growth factor beta (TGFβ) in several organs. Fibromodulin is highly upregulated in mice and patients with heart failure, but little is known about its role in cardiac fibrosis. Our recent findings from primary cultures of cardiac fibroblasts from neonatal rat hearts suggest that fibromodulin has anti-fibrotic effects. Here we investigated the translational value of these findings by overexpressing fibromodulin in cultured human fetal and adult cardiac fibroblasts. The effects of fibromodulin overexpression on gene expression were measured by qPCR and gene arrays, whereas protein levels were measured by Western blotting, and collagen synthesis by radioactive proline incorporation. The results support our previous findings and indicate relevance for human disease. We found that fibromodulin reduced the expression levels of the collagen cross-linking enzymes lysyl oxidase (LOX) and transglutaminase 2 (TGM2). Fibromodulin also reduced the levels of connective tissue growth factor (CTGF) and periostin (POSTN), indicating reduced TGFβ activity. Reduced levels of intercellular adhesion molecule 1 (ICAM1) and vascular cell adhesion molecule 1 (VCAM1) suggested reduced potential for immune cell adhesion, and gene arrays indicated altered integrin expression, suggesting altered ECM-cell adhesion. Expression of fibrillar collagens was unaffected. In conclusion, fibromodulin reduced TGFβ activity and down-regulated central collagen-crosslinking enzymes, in line with an anti-fibrotic effect of fibromodulin in human cardiac fibroblasts.
The study of complex traits using large databases of molecular markers has reshaped genetic breeding programs as it allows the direct incorporation of information from a large number of molecular markers for the prediction of genomic values. However, the large number of markers can lead to problems of computational demand, multicollinearity, and dimensionality. We evaluated the use of Multilayer Perceptron Neural networks to resolve this problem and propose a new dimensionality reduction method called Probe Subset Selection Methodology, for the prediction of genetic values, in Genome Wide Selection studies. We used a simulated F1 population for 12 quantitative traits, including different modeling structures, average degrees of dominance and heritability. The Multilayer Perceptron Neural Networks, together with the proposed Probe Subset Selection Methodology, provided more accurate predictions than the RR-BLUP methodology and reduced the root mean square error from 577.249 to values below 24. The use of computational intelligence in breeding programs is a promising tool for prediction purposes, since epistasis and dominance were not limiting factors for the proposed Multilayer Perceptron Neural Network method.
Orange rust, caused by the fungus Puccinia kuehnii, results in high productivity losses in sugarcane. Selection of resistant genotypes is one of the aims of sugarcane breeding programs. Phenotypic and molecular characterization of the parents of such crosses is essential to obtain superior varieties. We evaluated the reaction to orange rust in the field, the pattern of disease evolution, the molecular marker G1, and the usefulness of this information for the prediction of resistant phenotypes in the main sugarcane parents of the Brazilian Interuniversity Network for Development of the Sugarcane Energy Sector (RIDESA). For this evaluation, 63 sugarcane parents conserved in the RIDESA germplasm bank and that participated most in crosses from 1970 to 2000 were included. The experiment was carried out in a complete block design with three replications, using the clone RB036145 (susceptible to orange rust) as an infective line. Eleven severity assessments were performed using a diagrammatic scale. From the disease severity data, the relative area under the disease progress curve (rAUDPC) was calculated, and the genotypes were classified as resistant, intermediate, and susceptible, compared with the rAUDPC value of the SP79-2233 variety (susceptible to orange rust) and of the variety RB867515 (resistant to orange rust). Of the 63 sugarcane parents, 43 were classified as resistant, of which 27 were positive for the G1 marker; 10 as intermediate, including seven positives for G1; 10 were susceptible, among which four were positive for this marker. The molecular marker G1 showed an accuracy of 71% in predicting the resistant phenotype and could be used as a tool for the characterization of resistant germplasm.
The yam bean (Pachyrhizus spp.) is an underutilized leguminous tuber that is well adapted to the Amazonian climate. This bean has 5 to 20% protein in its tuberous roots (dry weight), though it is little known even in Brazil. No improved varieties have been recommended for the Amazon region. We examine the Genotype x Year (GxY) interaction in 20 selected yam bean stocks and selected genotypes based on their performance. These materials were obtained from among a selection of 64 genotypes with natural outcrossing of P. erosus x P. tuberosus. The experiments were carried out in the Central Amazon during a low water period, from April to September in 2017 and 2018, in a completely randomized block design with 20 genotypes, three replicates, and eight plants per plot, 1 x 0.5 m apart between and within rows. Pods and roots were harvested after having been cultivated for six months. Pod and root yield, as well as the latter’s proximate composition, were evaluated. We found no significant GxY interaction, for pod and root yield. However, the carbohydrate, protein, lipid, fiber, and ash content in roots showed significant GxY interaction. These results indicate that selection of genotypes with high pod and root yield can be carried out in a single year in the dry period for cultivation during that season. However, selection to increase its nutritional value must be carried out over several years. The selected genotypes for presenting high root yield (> 3 t ha-1) were P7, P11, P15, P19, P37 and P57. The genotypes selected for high protein content in the roots (> 10% dry weight) were P13, P14, P37 and P62.
Hepatoblastoma (HB) is the most common malignant liver tumor in children; however, the molecular mechanisms responsible for its progression remain unclear. We previously identified hypermethylation of the ovarian cancer immunoreactive antigen domain containing 2 (OCIAD2) as a poor prognostic factor for HB in a genome-wide methylation analysis of HB excision specimens. As it has been already reported that such hypermethylation of OCIAD2 dysregulates the expression of OCIAD2, to elucidate the function of OCIAD2 in HB, we evaluated altered cellular functions such as cell growth, invasion, and migration abilities using OCIAD2 overexpression cell lines of HB. In the in vitro analysis with OCIAD2 overexpression, no significant difference was observed in cell proliferation between the groups. However, migration and invasion abilities were significantly lower in OCIAD2 overexpressed cell lines. Second, overexpression of OCIAD2 reduced matrix metalloproteinase 2 (MMP2) levels in each cell line. These results suggest that OCIAD2 suppresses HB invasion and migration in relation to MMP2.
Knowledge of the genetic structure of a trait shapes the entire strategy of a breeding program. In this study, the purpose was to determine the additive and non-additive effects that affect the genetic control of common bean roots. A field experiment, with 75 treatments in a partially balanced incomplete block design, was carried out in the 2018/19 growing season. The treatments consisted of backcross progenies (L1 - P1 x F2, L2 - P2 x F2 and L3 - F1 x F2) resulting from a Triple Test Cross mating design, with the Mesoamerican parents P1-BAF50 (accession of the active germplasm bank) and P2-IPR Uirapuru (commercial cultivar). The trait root distribution was assessed based on the soil excavation method, in situ. To this end, trenches were opened under each plant (two plants per replication, in each treatment) and a grid was inserted in the open profile. Pictures were taken of the grid in the trench, based on which the root distribution (percentage) could be quantitatively assessed. To compare root and shoot biomass, the numbers of pods and grains were counted at harvest. The treatment factor was partitioned into genetic effects (additive, dominant and epistatic) by the establishment of predictive functions. The additive genetic effect was the most influential in the genetic trait control. On the other hand, additive × additive epistasis caused no significant deviation from the genotypic value of plants, neither for roots (P = 0.7941) nor grain yield components. Among the evaluated progenies, effects of dominance deviation and additive x dominant and dominant x dominant epistasis were observed least often, and the expression in the trait root distribution had opposite directions (positive and negative deviations), whereas for the yield components, the non-additive gene effects had one and the same pattern. In crosses between Mesoamerican genotypes, the genetic value of roots is based on the average genetic effects alone, while the genetic interactions are negligible.
Type 2 diabetes mellitus (T2DM) is a chronic, complex, multifactorial and polygenic disease, constituting one of the greatest public health challenges worldwide. The genetic background has been shown to strongly influence the disease’s susceptibility. We performed genetic screening of risk-variants for T2DM and complications in the Brazilian population. This systematic review is registered in the PROSPERO platform under number CRD42020153032. The searches were conducted in Virtual health library (BVS), EMBASE, Pubmed/NCBI, Scopus, and Web of Science databases, including only case-control studies that related genetic polymorphisms with the risk of developing the disease in the Brazilian population. Among the search results, we also extracted data regarding the susceptibility of developing macro/microvascular complications. Sixteen case-control studies were included, of which 10 addressed T2DM susceptibility and six the disease complications. A total of 4122 individuals were included in the analyses of susceptibility to T2DM, and 1443 in those of susceptibility to complications of the disease. Our findings demonstrate the participation of four main mechanisms in T2DM pathophysiology: glycolytic dysregulation, lipid metabolism, insulin resistance, and inflammatory processes. Among the eight polymorphisms linked to disease susceptibility, we highlight rs7903146 (C/T) in the TCF7L2 gene and rs1800471 (25C/G) in the TGF-β1 gene for diabetic retinopathy. In haplotype analysis, two sets were associated with T2DM susceptibility (ADIPOQ and DIO2 genes), and two sets in the UCP2 gene were associated with diabetic retinopathy and nephropathy. Data from this study characterize the genetic profile of the Brazilian population for susceptibility to T2DM and its complications. This is the first genetic epidemiology study to screen risk variants associated with this disease in Brazil. With this mapping, we aimed to contribute to the development of molecular diagnostic technologies and precision medicine, such as a genetic panel for T2DM susceptibility in the Brazilian population.
The genus Corydalis (Papaveraceae), which is distributed in temperate regions of the northern hemisphere, has been taxonomically studied mainly on the basis of morphological and molecular genomic information. In the present study, 14 species that belong to the Korean section Corydalis were collected in South Korea and phylogenetically analyzed using four chloroplast genomic regions, which include matK, rbcL, rpL16 genes and the trnG intron. The author tried to include the nuclear Internal Transcribed Spacer (ITS) region in the phylogenetic analysis; however, multiple PCR bands and various band sizes observed led to the conclusion that the ITS region is not suitable for the phylogenetic study of Corydalis. When the four chloroplast genomic regions were separately analyzed, different levels of resolution for species delimitation were observed, and in most cases the resolution levels were quite low. When matK and rpL16 were concatenated, the highest resolution for species delimitation was observed. However, when other regions were added to this concatenated region to improve the resolution, the resolution decreased, which was in contrast to the author’s expectation and deserves further analysis. At the same time, the author observed inconsistencies between the previously established taxonomy based on morphology and the molecular phylogenies in the present study. This discrepancy needs to be addressed in further detail, so that the taxonomy of the genus Corydalis can fully incorporate both morphology and molecular genomic information. Overall, the present study provides insights into the taxonomy of Corydalis, and clearly demonstrates that proper combinations of chloroplast markers can lead to successful discrimination of the species in this genus. Indeed, this study suggests ways to better utilize phylogenetic analyses and species delimitation in this interesting and complicated taxon. Since Corydalis is taxonomically challenging and widely used as medicinal plants in Asia, this study can be a valuable source of information on this genus.
Chikungunya virus (CHIKV) is an RNA virus from the family Togaviridae transmitted primarily by Aedes mosquitoes. The first report of CHIKV infection in Brazil dates to 2014; since then, the virus has become a major public health challenge. The main goal of this study was to perform a phylogenetic analysis of CHIKV isolates from febrile patients from Espirito Santo (ES) state during the 2017 outbreak to identify the genetic diversity of circulating CHIKV strains. CHIKV RT-qPCR confirmed cases were sequenced for phylogenetic relationship inferences and molecular characterization. Phylogenetic results showed that the virus in the 2017 ES outbreak belongs to the ECSA genotype. Molecular characterization revealed a new mutation in ES strains (E2-N207D). This variation generated an amino acid substitution by exchanging asparagine (N) for aspartate (D) at position 207 and it is associated with an anchoring groove, possibly interfering in viral envelope assembly and associated interaction with the target cell. Here we report a CHIKV-ECSA IIa outbreak that demonstrates the ES population's vulnerability to an Asian strain of this virus circulating elsewhere in Brazil. Despite the small sample size, this study describes phylogenetic data about CHIKV in ES state that helps expand of the virus genotype database, and reveals a new E2 protein CHIKV variant (E2-N207D). This data helps improve understanding of chikungunya fever in order to design efficient public health control strategies.
This review deals with innovative concepts of evolution in vertebrates, such as epigenetic mechanisms and transgenerational inheritance. Evolutionary models based on data of fossil records, cytogenetics and molecular genetics are indicated. The 2R-model of vertebrate evolution is focalized as well as the epigenetic mechanisms of gene regulation and variability of polyploid anurans. It is known that science evolves by routes that are sometimes impelled by puzzling questions. The cytogenetic data here reported for Anurans brought some perplexing considerations involving fundamental concepts of neo-Darwinism regarding slow/fast evolution, ploidy, epigenetics, and transgenerational inheritance. Indeed, a growing body of evidence reveals that besides gene mutations, diversity may also be produced by epigenetic mutations of regulatory segments of DNA. Yet, an intriguing point to be explained is whether these types of mutations can promote evolution via transgenerational inheritance.
It is known that mesothelin (MSLN) is overexpressed in some cancers, and that it plays a role in cell growth through Wnt family member 1 protein. Malignant transformation usually occurs with disruption of autoregulation of autophagy-related genes. We examined the effect of MSLN on survival and clinicopathological features in mesothelioma cases, as well as variations in genes associated with autophagy, invasion, apoptosis-related genes after siRNA-mediated MSLN silencing transfection in a mesothelioma cell line (SPC212). MSLN expression was analyzed, immunohistochemically, in formalin-fixed paraffin-embedded 60 mesothelioma cases. MSLN expression was categorized by median MSLN histoscores as low (L), high (H). The correlation between the levels of MSLN expression, clinicopathological features, and survival was determined in mesothelioma cases. The siRNA-mediated MSLN incubated SPC212 cells were transfected and compared to negative control siRNAs. mRNA levels were determined for autophagy, invasion, and apoptosis related-genes with RT-PCR, and western blotting in SPC212 cells after MSLN silencing. All of the cases were immunoreactive for MSLN expression. H-MSLN was associated with a favorable prognosis according to Kaplan-Meier survival analysis, but Cox regression analysis revealed that only stage was a significant independent factor for estimating survival. MSLN overexpression was significantly higher in early-stage, mesothelioma cases without nodal involvement. Significant silencing in MSLN was found (87.5%) after siRNA applications. Apoptosis and autophagy were upregulated by increasing apoptosis-related genes, BAK1, BAX, CASP1-7, and autophagy-related genes, ATG2, ATG16L1. Cell proliferation was knocked down predominantly by inhibiting the invasion-related genes, MMP1, 10, 11, 13, in SPC212 cell lines. MSLN silencing was determined to significantly increase CASP3, but did not change LC3 in western blotting, respectively. In conclusion, siRNA-mediated silencing MSLN can promote apoptosis, autophagy, and also partially inhibit proliferation. We suggest that MSLN can serve as a potential therapeutic target in mesothelioma.
It is essential that the genetic variability of preserved accessions germplasm banks be evaluated and quantified, which allows, for example, the detection of duplicates, generating more reliable data, especially for groups of plants that have a wide genetic variability, as in the case of the Capsicum genus. . We examined the DNA from the leaves of nine accessions of Capsicum spp . from the Federal University of Maranhão Germplasm Bank. Amplification was performed using 78 microsatellite primers previously described as potential molecular markers for Capsicum accessions. Thirty-three microsatellite primers produced amplification products, seven of which were polymorphic and used to investigate genetic variability among nine accessions. The proportion of polymorphic loci in pepper accessions was estimated at 21%. A mean of 2.28 alleles was detected per polymorphic locus and the number of alleles ranged from 1 to 3. The highest effective number of alleles was 1.62, and the highest values of mean observed heterozygosity (Ho) and Shannon's diversity index (I) were 0.533 and 0.421, respectively. Private alleles were detected in two accessions: UFMA17 and UFMA35. The highest Ho value was found in the UFMA10 accession, whereas the lowest value was recorded in the UFMA35 accession. Fixation indices (FST) indicated that 65% of the total allele frequency variation occurred within the analyzed loci. The polymorphism information content ranged from 0.011 to 0.354. Clustering of samples based on Nei's genetic distance matrix revealed the formation of three genetically distinct groups that allowed identifying genetically distinct groups based on SSR markers and discriminating the most closely related accessions of Capsicum spp. Neighbor-joining cluster analysis and PCoA allowed identifying genetically distinct groups based on SSR markers and discriminating the most closely related accessions of Capsicum spp.