When comparing gene expression data of different tissues it is often interesting to identify tissue-specific genes or transcripts. Even though there are several metrics to measure tissue-specificity, a user-friendly tool that facilitates this analysis is not available yet. We present tspex, a software that allows easy computation of a comprehensive set of different tissue-specificity metrics from gene expression data. tspex can be used through a web interface, command-line or the Python API. Its package version also provides visualization functions that facilitate inspection of results. The documentation and the source code of tspex are available at https://apcamargo.github.io/tspex/ and the web application can be accessed at https://tspex.lge.ibi.unicamp.br/

No abstract

Xylose assimilation and fermentation are important traits for second generation ethanol production. However, some genomic features associated with this pentose sugar’s metabolism remain unknown in yeasts. Comparative genomics studies have led to important insights in this field, but we are still far from completely understanding endogenous yeasts’ xylose metabolism. In this work, we carried out a deep evolutionary analysis suited for comparative genomics of xylose-consuming yeasts, searching for of positive selection on genes associated with glucose and xylose metabolism in the xylose-fermenters’ clade. Our investigation detected positive selection fingerprints at this clade not only among sequences of important genes for xylose metabolism, such as xylose reductase and xylitol dehydrogenase, but also in genes expected to undergo neutral evolution, such as the glycolytic gene phosphoglycerate mutase. In addition, we present expansion, positive selection marks, and convergence as evidence supporting the hypothesis that natural selection is shaping the evolution of the little studied methylglyoxal reductases. We propose a metabolic model suggesting that selected codons among these proteins caused a putative change in cofactor preference from NADPH to NADH that alleviates cellular redox imbalance. These findings provide a wider look into pentose metabolism of yeasts and add this previously overlooked piece into the intricate puzzle of oxidative imbalance. Although being extensively discussed in evolutionary works the awareness of selection patterns is recent in biotechnology researches, rendering insights to surpass the reached status quo in many of its subareas.

Background: The need to restructure the world's energy matrix based on fossil fuels and mitigate greenhouse gas emissions stimulated the development of new biobased technologies for renewable energy. One promising and cleaner alternative is the use of second-generation (2G) fuels, produced from lignocellulosic biomass sugars. A major challenge on 2G technologies establishment is the inefficient assimilation of the five-carbon sugar xylose by engineered Saccharomyces cerevisiae strains, increasing fermentation time. The uptake of xylose across the plasma membrane is a critical limiting step and the budding yeast S. cerevisiae is not designed with a broad transport system and regulatory mechanisms to assimilate xylose in a wide range of concentrations present in 2G processes. Results: Assessing diverse microbiomes such as the digestive tract of plague insects and several decayed lignocellulosic biomasses, we isolated several yeast species capable of using xylose. Comparative fermentations selected the yeast Candida sojae as a potential source of high-affinity transporters. Comparative genomic analysis elects four potential xylose transporters whose properties were evaluated in the transporter null EBY.VW4000 strain carrying the xylose-utilizing pathway integrated into the genome. While the traditional xylose transporter Gxf1 allows an improved growth at lower concentrations (10 g/L), strains containing Cs3894 and Cs4130 show opposite responses with superior xylose uptake at higher concentrations (up to 50 g/L). Docking and normal mode analysis of Cs4130 and Gxf1 variants pointed out important residues related to xylose transport, identifying key differences regarding substrate translocation comparing both transporters. Conclusions: Considering that xylose concentrations in second-generation hydrolysates can reach high values in several designed processes, Cs4130 is a promising novel candidate for xylose uptake. Here, we demonstrate a novel eukaryotic molecular transporter protein that improves growth at high xylose concentrations and can be used as a promising target towards engineering efficient pentose utilization in yeast.

Ethanol production has key differences between the two largest producing countries of this biofuel, Brazil and the USA, such as feedstock source, sugar concentration and ethanol titers in industrial fermentation. Therefore, it is highly probable that these specificities have led to genome adaptation of the Saccharomyces cerevisiae strains employed in each process to tolerate different environments. In order to identify particular adaptations, in this work, we have compared the genomes of industrial yeast strains widely used to produce ethanol from sugarcane, corn and sweet sorghum, and also two laboratory strains as reference. The genes were predicted and then 4524 single-copy orthologous were selected to build the phylogenetic tree. We found that the geographic location and industrial process were shown as the main evolutionary drivers: for sugarcane fermentation, positive selection was identified for metal homeostasis and stress response genes, whereas genes involved in membrane modeling have been connected with corn fermentation. In addition, the corn specialized strain Ethanol Red showed an increased number of copies of MAL31, a gene encoding a maltose transporter. In summary, our work can help to guide new strain chassis selection for engineering strategies, to produce more robust strains for biofuel production and other industrial applications.