An Educational Bioinformatics Project to Improve Genome Annotation

In silico identification and characterization of potential druggable targets among hypothetical proteins of Leptospira interrogans serovar Copenhageni: a comprehensive bioinformatics approach

Leptospirosis is one of the neglected zoonosis, affecting human and animal populations worldwide. Reliable effective therapeutics and concerns to look for more research into the molecular analysis of its genome is therefore needed. In the genomic pool of the Leptospira interrogans many hypothetical proteins are still uncharacterized. In the current research, we performed extensive in silico analysis to prioritize the potential hypothetical proteins of L. interrogans serovar Copenhageni via stepwise reducing the available hypothetical proteins (Total 3606) of the assembly to only 15, based on non-homologous to homosapien, essential, functional, virulent, cellular localization. Out of them, only two proteins WP_000898918.1 (Hypothetical Protein 1) & WP_001014594.1 (Hypothetical Protein 2) were found druggable and involved in protein-protein interaction network. The 3 D structures of these two target proteins were predicted via ab initio homology modeling followed by structures refinement and validation, as no structures were available till date. The analysis also revealed that the functional domains, families and protein-protein interacting partners identified in both proteins are crucial for the survival of the bacteria. The binding cavities were predicted for both the proteins through blind and specific protein-ligand docking with their respective ligands and inhibitors and were found to be in accordance with the druggable sites predicted by DoGSiteScorer. The docking interactions were found within the active functional domains for both the proteins while for Hypothetical Protein 2, the same residues were involved in interactions with Cytidine-5'-triphosphate in blind and specific docking. Furthermore, the simulations of molecular dynamics and free binding energy revealed the stable substrate binding and efficient binding energies, and were in accordance to our docking results. The work predicted two unique hypothetical proteins of L. interrogans as a potential druggable targets for designing of inhibitors for them.Communicated by Ramaswamy H. Sarma.

Genome-Wide Analysis of miR159 Gene Family and Predicted Target Genes Associated with Environmental Stress in Dendrobium officinale: A Bioinformatics Study

Dendrobium officinale (D. officinale) is a widely used traditional Chinese medicine with high economic value. MicroR159 (miR159) is an ancient and conserved microRNA (miRNA) family in land plants, playing roles in the progress of growth and development, as well as the stress response. In order to find out functions of miR159 in D. officinale, multiple bioinformatic approaches were employed and 10 MIR159 genes were found, localizing on seven chromosomes and an unanchored segment of the D. officinale genome. All of the precursor sequences of Dof-miR159 could form a stable stem-loop structure. The phylogenetic analysis revealed that the MIR159 genes of D. officinale were divided into five clades. Furthermore, the conservation analysis suggested that the 2 to 20 nt region of miR159 mature sequences were highly conserved among family members. The promoter analysis of MIR159s showed that the majority of the predicted cis-elements were related to environmental stress or hormones. In total, five classes of genes were predicted to be the target genes of Dof-miR159s, including GAMYB transcription factors, which had been confirmed in many other land plants. The expression patterns of predicted target genes revealed their potential roles in the growth and development of D. officinale, as well as in cold and drought stress responses. In conclusion, our results illustrated the stress-related miR159-targeted genes in D. officinale, which could provide candidate genes for resistance breeding in the future.

Antifungal and Aflatoxin-Reducing Activity of β-Glucan Isolated from Pichia norvegensis Grown on Tofu Wastewater

Yeast can be isolated from tofu wastewater and the cell wall in the form of β-glucan can act as a natural decontaminant agent. This study aimed to isolate and characterize native yeast from tofu wastewater, which can be extracted to obtain β-glucan and then identify the yeast and its β-glucan activity regarding antifungal ability against Aspergillus flavus and aflatoxin-reducing activity towards aflatoxin B1 (AFB1) and B2 (AFB2). Tofu wastewater native yeast was molecularly identified, and the growth observed based on optical density for 96 h and the pH also measured. β-glucan was extracted from native yeast cell walls with the acid-base method and then the inhibition activity towards A. flavus was tested using the well diffusion method and microscopic observation. AFB1 and AFB2 reduction were identified using HPLC LC-MS/MS. The results showed that the native yeast isolated was Pichia norvegensis with a β-glucan yield of 6.59%. Pichia norvegensis and its β-glucan showed an inhibition zone against Aspergillus flavus of 11.33 ± 4.93 and 7.33 ± 3.51 mm, respectively. Total aflatoxin-reducing activity was also shown by Pichia norvegensis of 26.85 ± 2.87%, and β-glucan of 27.30 ± 1.49%, while AFB1- and AFB2-reducing activity by Pichia norvegensis was 36.97 ± 3.07% and 27.13 ± 1.69%, and β-glucan was 27.13 ± 1.69% and 32.59 ± 4.20%, respectively.