Reference genes for Eucalyptus spp. under Beauveria bassiana inoculation and subsequently infestation by the galling wasp Leptocybe invasa.

Relative gene expression analysis through RT-qPCR is an important molecular technique that helps understanding different molecular mechanisms, such as the plant defense response to insect pests. However, the use of RT-qPCR for gene expression analysis can be affected by factors that directly affect the reliability of the results. Among these factors, the appropriate choice of reference genes is crucial and can strongly impact RT-qPCR relative gene expression analyses, highlighting the importance in correctly choosing the most suitable genes for the success of the analysis. Thus, this study aimed to select and validate reference genes for relative gene expression studies through RT-qPCR in hybrids of Eucalyptus tereticornis × Eucalyptus camaldulensis (drought tolerant and susceptible to Leptocybe invasa) under conditions of inoculation by the Beauveria bassiana fungus and subsequent infestation by L. invasa. The expression level and stability of eleven candidate genes were evaluated. Stability was analyzed using the RefFinder tool, which integrates the geNorm, NormFinder, BestKeeper, and Delta-Ct algorithms. The selected reference genes were validated through the expression analysis of the transcriptional factor EcDREB2 (dehydration-responsive element-binding protein 2). For all treatments evaluated, EcPTB, EcPP2A-1, and EcEUC12 were the best reference genes. The triplets EcPTB/EcEUC12/EcUBP6, EcPP2A-1/EcEUC12/EcPTB, EcIDH/EcSAND/Ecα-TUB, EcPP2A-1/Ecα-TUB/EcPTB, and EcPP2A-1/EcUPL7/EcSAND were the best reference genes for the control plants, mother plants, plants inoculated with B. bassiana, plants infested with L. invasa, and plants inoculated with B. bassiana and subsequently infested with L. invasa, respectively. The best determined reference genes were used to normalize the RT-qPCR expression data for each experimental condition evaluated. The results emphasize the importance of this type of study to ensure the reliability of relative gene expression analyses. Furthermore, the findings of this study can be used as a basis for future research, comprising gene expression analysis of different eucalyptus metabolic pathways.

Selection and validation of reference genes for RT-qPCR gene expression studies in Candida viswanathii cultivated under different grown conditions.

The properties presented by Candida viswanathii's lipases turn this specie into a promising producer of potentially applicable lipases in several industrial sectors, such as: food, textiles, in the oleochemical and paper industries, and also in different pharmaceutical applications. However, studies for elucidating growth and developmental processes at the molecular level in this species are still incipient. Performing such kinds of studies often rely on the use of the RT-qPCR, which is a highly sensitivity technique, but whose parameters must be carefully planned for achieving reliable data. Among the crucial parameters required for achieving reliable results through this technique, the use of appropriated and validated reference genes is one the most important, constituting a bottleneck, mainly in species where molecular studies are scarce. Thus, the aim of this study was to determine the best reference genes for RT-qPCR gene expression studies in C. viswanathii grown in culture media containing four different carbon sources (Olive oil, Triolein, Tributyrin, and Glucose). Eleven candidate reference genes (ACT, GPH1, AGL9, RPB2, SAP1, PGK1, TAF10, UBC13, TFC1, UBP6, and FBA1) were analyzed for their expression patterns and stability. Analysis of gene expression stability was performed using the RefFinder tool, which integrates the geNorm, NormFinder, BestKeeper and Delta-Ct algorithms, and validation of the results was performed through analyzing the expression of a lipase gene, CvLIP4. Analyzing the four treatments together, CvACT and CvRPB2 constituted the best reference gene pair. When treatments are analyzed individually, CvRPB2/CvACT, CvFBA1/CvAGL9, CvPGK1/CvAGL9 and CvACT/CvRPB2 were the best reference gene pairs for the culture media containing olive oil, triolein, tributyrin, and glucose as carbon sources, respectively. These results are essential and form the basis for the development of relative gene expression studies in C. viswanathii, since adequate reference genes are crucial for the reliability of RT-qPCR data.

Comparative assessment of three RNA extraction methods for obtaining high-quality RNA from Candida viswanathii biomass.

Isolating high quality RNA is a limiting factor in molecular analysis, since it is the base for transcriptional studies. The RNA extraction method can directly affect the RNA quality and quantity, as well as, its overall cost. The industrial importance of the yeast genus Candida in several sectors comes from their capacity to produce Lipases. These enzymes are one of the main metabolites produced by some Candida species, and it has been shown that Candida yeast can biodegrade petroleum hydrocarbons and diesel oil from biosurfactants that they can produce, a feature that turns these organisms into potential combatants for bioremediation techniques. Thus, this study aimed to determine an efficient method for isolating high quality RNA from Candida viswanathii biomass. To achieve this aim, three different RNA extraction methods, TRIzol, Hot Acid Phenol, and CTAB (Cetyltrimethylammonium Bromide), were tested. The three tested methods allowed the isolation of high-quality RNA from C. viswanathii biomass and yielded suitable RNA quantity for carrying out RT-qPCR studies. In addition, all methods displayed high sensitivity for the expression analysis of the CvGPH1 gene through RT-qPCR, with TRIzol and CTAB showing the best results and the CTAB method displaying the best cost-benefit ratio (US$0.35/sample).

Diagnosing the novel SARS-CoV-2 by quantitative RT-PCR: variations and opportunities.

The world is currently facing a novel viral pandemic (SARS-CoV-2), and large-scale testing is central to decision-making for the design of effective policies and control strategies to minimize its impact on the global population. However, testing for the presence of the virus is a major bottleneck in tracking the spreading of the disease. Given its adaptability regarding the nucleotide sequence of target regions, RT-qPCR is a strong ally to reveal the rapid geographical spreading of novel viruses. We assessed PCR variations in the SARS-CoV-2 diagnosis taking into account public genome sequences and diagnosis kits used by different countries. We analyzed 226 SARS-CoV-2 genome sequences from samples collected by March 22, 2020. Our work utilizes a phylogenetic approach that reveals the early evolution of the virus sequence as it spreads around the globe and informs the design of RT-qPCR primers and probes. The quick expansion of testing capabilities of a country during a pandemic is largely impaired by the availability of adequately trained personnel on RNA isolation and PCR analysis, as well as the availability of hardware (thermocyclers). We propose that rapid capacity development can circumvent these bottlenecks by training medical and non-medical personnel with some laboratory experience, such as biology-related graduate students. Furthermore, the use of thermocyclers available in academic and commercial labs can be promptly calibrated and certified to properly conduct testing during a pandemic. A decentralized, fast-acting training and testing certification pipeline will better prepare us to manage future pandemics.

New insights into tomato microRNAs.

Cultivated tomato, Solanum lycopersicum, is one of the most common fruits in the global food industry. Together with the wild tomato Solanum pennellii, it is widely used for developing better cultivars. MicroRNAs affect mRNA regulation, inhibiting its translation and/or promoting its degradation. Important proteins involved in these processes are ARGONAUTE and DICER. This study aimed to identify and characterize the genes involved in the miRNA processing pathway, miRNA molecules and target genes in both species. We validated the presence of pathway genes and miRNA in different NGS libraries and 6 miRNA families using quantitative RT-PCR. We identified 71 putative proteins in S. lycopersicum and 108 in S. pennellii likely involved in small RNAs processing. Of these, 29 and 32 participate in miRNA processing pathways, respectively. We identified 343 mature miRNAs, 226 pre-miRNAs in 87 families, including 192 miRNAs, which were not previously identified, belonging to 38 new families in S. lycopersicum. In S. pennellii, we found 388 mature miRNAs and 234 pre-miRNAs contained in 85 families. All miRNAs found in S. pennellii were unpublished, being identified for the first time in our study. Furthermore, we identified 2471 and 3462 different miRNA target in S. lycopersicum and S. pennellii, respectively.