Bioinformatic characterization of the extracellular lipases from Kluyveromyces marxianus.

Lipases are hydrolytic enzymes that break the ester bonds of triglycerides, generating free fatty acids and glycerol. Extracellular lipase activity has been reported for the nonconventional yeast Kluyveromyces marxianus, grown in olive oil as a substrate, and the presence of at least eight putative lipases has been detected in its genome. However, to date, there is no experimental evidence on the physiological role of the putative lipases nor their structural and catalytic properties. In this study, a bioinformatic analysis of the genes of the putative lipases from K. marxianus L-2029 was performed, particularly identifying and characterizing the extracellular expected enzymes, due to their biotechnological relevance. The amino acid sequence of 10 putative lipases, obtained by in silico translation, ranged between 389 and 773 amino acids. Two of the analysed putative proteins showed a signal peptide, 25 and 33 amino acids long for KmYJR107Wp and KmLIP3p, and a molecular weight of 44.53 and 58.23 kDa, respectively. The amino acid alignment of KmLIP3p and KmYJR107Wp with the crystallized lipases from a patatin and the YlLip2 lipase from Yarrowia lipolytica, respectively, revealed the presence of the hydrolase characteristic motifs. From the 3D models of putative extracellular K. marxianus L-2029 lipases, the conserved pentapeptide of each was determined, being GTSMG for KmLIP3p and GHSLG for KmYJR107Wp; besides, the genes of these two enzymes (LIP3 and YJR107W) are apparently regulated by oleate response elements. The phylogenetic analysis of all K. marxianus lipases revealed evolutionary affinities with lipases from abH15.03, abH23.01, and abH23.02 families.

Acute Myeloid Leukemia-Genetic Alterations and Their Clinical Prognosis.

Acute myeloid leukemia (AML) is a group of hematological diseases, phenotypic and genetically heterogeneous, characterized by abnormal accumulation of blast cells in the bone marrows and peripheral blood. Its incidence rate is approximately 1.5 per 100,000 in infants younger than 1 year of age and 25 per 100,000 persons in octogenarians. Traditionally, cytogenetic markers are used to stratify patients in three risk categories: favorable, intermediate and unfavorable. However, the forecast stratification and the treatment decision for patients with normal karyotype shows difficulties due to the high clinical heterogeneity. The identification of several genetic mutations additional to classical molecular markers has been useful in identifying new entities. Nowadays, many different mutations and epigenetic aberrations have been implicated in the diagnostic, prognostic and treatment of AML. This review is focused on describing the most important molecular markers with implications for clinical practice.

Retracted: FLT3: beyond good and evil.

The above article, published online on 29 July 2016 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Journal Editor in Chief, Journal Production Manager, and John Wiley & Sons, Ltd. The retraction has been agreed due to 48% similar significant between this article and an article published in Nature Reviews Cancer journal.

Prediction of the time-course pattern of remission in depression by using clinical, neuropsychological, and genetic variables.

BACKGROUND: The prediction of remission in pharmacologically-treated MDD patients has been scarcely studied. The goal of our work is to study the possible effect of clinical variables, neuropsychological performance, and the 5HTTLPR, the rs25531 of the SLC6A4 gene, and the val108/58Met of the COMT gene polymorphisms on the prediction of the speed of remission in MDD patients. METHODS: Seventy-two depressed patients were genotyped according to the aforementioned polymorphisms and were clinically and neuropsychologically assessed before a 12-week fluoxetine treatment. RESULTS: From this original sample 51 patients were considered as remitters at the end of week 12. Thirteen out of those showed a rapid response pattern, 24 showed an oscillating response pattern, and 14 showed a slow response pattern. The following variable combination is capable of showing a statistically significant relationship with the pattern of remission of patients with MDD: initial Hamilton score, age at first depressive episode, AG and GG alleles of the val108/58Met COMT polymorphism, Stroop PC, and SWM Strategy. LIMITATIONS: We have a slightly small sample size, which came to prominence during the data analysis since we were working with 3 subgroups. In this study, the placebo effect has not been controlled. DISCUSSION: Our data suggest that the patients with MDD who remit after a 12-week treatment with fluoxetine show one of the following time-course patterns: a rapid symptomatic improvement, or a slow or oscillating pattern of remission. A combination of clinical, neuropsychological, and genetic variables allows us to predict these response patterns.

The Neurospora crassa chr-1 gene is up-regulated by chromate and its encoded CHR-1 protein causes chromate sensitivity and chromium accumulation.

The ChrA membrane protein belongs to the CHR superfamily of chromate ion transporters, which includes homologues from bacteria, archaea and eukaryotes. Bacterial ChrA homologues confer chromate resistance by exporting chromate ions from the cell's cytoplasm. The Neurospora crassa strain 74-A chr-1 gene encodes a putative CHR-1 protein of 507 amino acid residues, which belongs to the CHR superfamily. RT-PCR assays showed that expression of the chr-1 gene was up-regulated by chromate exposure of N. crassa cultures. Introduction in N. crassa of sense and antisense fragments of the chr-1 gene, as part of a silencing module within the pSilent-1 vector, produced transformants with a phenotype of resistance to chromate and diminished accumulation of chromium, as compared with the control strain containing only the vector. A chromate-resistance phenotype was also observed in N crassa strains deleted in the genomic chr-1 gene, thus confirming that the absence of CHR-1 protein confers chromate resistance to the fungus. The cDNA from N. crassa chr-1 gene (Ncchr-1) was cloned into the pYES2 vector under the control of a GAL promoter and the resulting recombinant plasmid was transferred to the yeast Saccharomyces cerevisiae. Galactose-induced S. cerevisiae transformants expressing Ncchr-1 were more sensitive to chromate and accumulated 2.5 times more chromium than the induced strain containing only the vector. Excess sulfate, a chromate analog, was unable to protect S. cerevisiae chr-1 transformants from chromate toxicity. These data indicate that the N. crassa CHR-1 protein functions as a transporter that takes up chromate; it also appears that this transport occurs in a sulfate-independent fashion. This is the first report assigning a role as a chromate transporter to a nonbacterial CHR protein.

Prediction of remission of depression with clinical variables, neuropsychological performance, and serotonergic/dopaminergic gene polymorphisms.

OBJECTIVE: The aim of our work is to study the possible role of clinical variables, neuropsychological performance, and the 5HTTLPR, rs25531, and val108/58Met COMT polymorphisms on the prediction of depression remission after 12 weeks' treatment with fluoxetine. These variables have been studied as potential predictors of depression remission, but they present poor prognostic sensitivity and specificity by themselves. METHODS: Seventy-two depressed patients were genotyped according to the aforementioned polymorphisms and were clinically and neuropsychologically assessed before a 12-week fluxetine treatment. RESULTS: Only the La allele of rs25531 polymorphism and the GG and AA forms of the val 108/158 Met polymorphism predict major depressive disorder remission after 12 weeks' treatment with fluoxetine. None of the clinical and neuropsychological variables studied predicted remission. CONCLUSIONS: Our results suggest that clinical and neuropsychological variables can initially predict early response to fluoxetine and mask the predictive role of genetic variables; but in remission, where clinical and neuropsychological symptoms associated with depression tend to disappear thanks to the treatment administered, the polymorphisms studied are the only variables in our model capable of predicting remission. However, placebo effects that are difficult to control require cautious interpretation of the results.

The role of clinical variables, neuropsychological performance and SLC6A4 and COMT gene polymorphisms on the prediction of early response to fluoxetine in major depressive disorder.

INTRODUCTION: Major depressive disorder (MDD) is treated with antidepressants, but only between 50% and 70% of the patients respond to the initial treatment. Several authors suggested different factors that could predict antidepressant response, including clinical, psychophysiological, neuropsychological, neuroimaging, and genetic variables. However, these different predictors present poor prognostic sensitivity and specificity by themselves. The aim of our work is to study the possible role of clinical variables, neuropsychological performance, and the 5HTTLPR, rs25531, and val108/58Met COMT polymorphisms in the prediction of the response to fluoxetine after 4weeks of treatment in a sample of patient with MDD. METHODS: 64 patients with MDD were genotyped according to the above-mentioned polymorphisms, and were clinically and neuropsychologically assessed before a 4-week fluoxetine treatment. Fluoxetine response was assessed by using the Hamilton Depression Rating Scale. We carried out a binary logistic regression model for the potential predictive variables. RESULTS: Out of the clinical variables studied, only the number of anxiety disorders comorbid with MDD have predicted a poor response to the treatment. A combination of a good performance in variables of attention and low performance in planning could predict a good response to fluoxetine in patients with MDD. None of the genetic variables studied had predictive value in our model. LIMITATIONS: The possible placebo effect has not been controlled. Our study is focused on response prediction but not in remission prediction. CONCLUSIONS: Our work suggests that the combination of the number of comorbid anxiety disorders, an attentional variable, and two planning variables makes it possible to correctly classify 82% of the depressed patients who responded to the treatment with fluoxetine, and 74% of the patients who did not respond to that treatment.

Trichoderma virens, a plant beneficial fungus, enhances biomass production and promotes lateral root growth through an auxin-dependent mechanism in Arabidopsis.

Trichoderma species belong to a class of free-living fungi beneficial to plants that are common in the rhizosphere. We investigated the role of auxin in regulating the growth and development of Arabidopsis (Arabidopsis thaliana) seedlings in response to inoculation with Trichoderma virens and Trichoderma atroviride by developing a plant-fungus interaction system. Wild-type Arabidopsis seedlings inoculated with either T. virens or T. atroviride showed characteristic auxin-related phenotypes, including increased biomass production and stimulated lateral root development. Mutations in genes involved in auxin transport or signaling, AUX1, BIG, EIR1, and AXR1, were found to reduce the growth-promoting and root developmental effects of T. virens inoculation. When grown under axenic conditions, T. virens produced the auxin-related compounds indole-3-acetic acid, indole-3-acetaldehyde, and indole-3-ethanol. A comparative analysis of all three indolic compounds provided detailed information about the structure-activity relationship based on their efficacy at modulating root system architecture, activation of auxin-regulated gene expression, and rescue of the root hair-defective phenotype of the rhd6 auxin response Arabidopsis mutant. Our results highlight the important role of auxin signaling for plant growth promotion by T. virens.

Cloning and sequence analysis of ornithine decarboxylase gene fragments from the Ascomycota.

Ornithine decarboxylase (ODC; EC 4.1.1.17) catalyzes the initial step in the biosynthesis of polyamines, the conversion of ornithine to putrescine. Based on the most conserved regions of fungal ODCs, we designed and synthesized oligonucleotides to amplify homologous fragments of three important plant pathogenic Pyrenomycete fungi (Ascomycota), Magnaporthe grisea, Colletotrichum lindemuthianum and Fusarium solani, and one insect pathogenic fungus Metarhizium anisopliae. Cloning and sequencing of the amplified fragments revealed homologies of between 37 to 88% with other fungal ODCs. The predicted peptide sequences were compared by Clustal analysis and conserved sequences corresponding to the substrate and cofactor binding sites were identified. Comparative analyses of the ODC fragments isolated in this study, revealed high homology between them (68.3-81.1%) and also with other Pyrenomycetes such as Neurospora crassa (order Sordariales; 68.6-72.9%) and Fusarium graminearum (order Hypocreales; 70.8-88.1%). Data obtained in this work revealed that these fungi constitute a compact group separated from other eukaryotic ODCs.

Three decades of fungal transformation: key concepts and applications.

Filamentous fungi include a large, heterogeneous group of heterotrophic organisms with profound influence in human activities. In spite of their economic and scientific relevance, little information is available at the molecular level about their biology. The development of genetic transformation protocols has contributed greatly to the molecular dissection of fungal behavior. The use of this approach in combination with large-scale genome sequencing projects has now provided the basis for gaining insight into the function of fungal genes. This chapter reviews the technology of the transformation of filamentous fungi. The protocols for gene transference by protoplasting/PEG, LiAc, electroporation, biolistics and A. tumefaciens are described, and possible mechanisms for transformation are discussed. A brief description of previously reported selection systems is also included. The application of transforming protocols concerning the study of gene function and manipulation are discussed in relation to some fungal species.