Meta-analysis to Unravel Core Transcriptomic Responses in Penaeus vannamei Exposed to Biotic and Abiotic Stresses

Shrimp farming, a dominant economic activity in coastal areas, is affected by different abiotic and biotic stress factors. These stressors, under poor management conditions, could affect growth and health of farmed animals. Understanding the common gene expressions in response to stress, regardless of the specific stress factor, holds significant importance in the field of functional genomics. Scope of this study is to identify the core transcriptomic responses in the shrimp species Penaeus vannamei exposed to various abiotic and biotic stress conditions and to decipher their functional importance. To achieve our objective, we gathered and analyzed multiple RNA-seq datasets related to twelve abiotic and nine biotic stress conditions. Through the in silico meta-analysis, we predicted 961 differentially expressed genes (meta-DEGs) for abiotic stress conditions and 517 meta-DEGs for biotic stress conditions, respectively. These meta-DEGs represent genes that are commonly expressed across different stress factors and are indicative of the organism's general response to stress. The annotation of nineteen core up-regulated meta-DEGs revealed their diverse functions in detoxification, cell adhesion, metal ion binding, and oxidative phosphorylation. These genes play a crucial role in stress response and immune defense. For abiotic stress, significant pathways associated with the stress response include tryptophan metabolism, starch and sucrose metabolism, fatty acid degradation, carbohydrate digestion and absorption, phenylalanine metabolism, drug metabolism-other enzymes, arachidonic acid metabolism, and fatty acid elongation. Similarly, for biotic stress, metabolism of xenobiotics by cytochrome P450, pentose and glucuronate interconversions, steroid hormone biosynthesis, and drug metabolism-cytochrome P450 were found to be significant pathway associations. In addition, the study also predicted 17 stress regulatory motifs present in the identified meta-DEGs. These motifs have significance in identifying the stress responses of the organism. The metabolic pathways and regulatory motifs associated with abiotic and biotic stress factors identified through this study could be a valuable resource for developing stress management approaches in shrimp aquaculture.

Identification of the Seaweed Metabolites as Potential Anti-tubercular Agents Against Human Pantothenate synthetase: An In Silico Approach

Tuberculosis is the disease which is caused due to the contagion of Mycobacterium tuberculosis. The multidrug resistance Mycobacterium tuberculosis is the main hassle in the treatment of this worldwide health threats. Pantothenate synthase is a legitimate goal for rational drug designing against Mycobacterium tuberculosis. The enzyme is most active in the presence of magnesium or manganese. Marine algal cell wall is rich in sulfated polysaccharides such as fucoidans (brown algae), κ-carrageenans (red algae), and ulvan (green algae) with various favorable biological activities such as anticoagulant, antiviral, antioxidative, anticancer, and immunomodulating activities. In this study, we have modeled binding modes of selected known anti-tubercular compounds and different solvent extract against pantothenate synthase using advanced docking program AutoDock 4.2 tool. In our current study, in silico experiments were carried out to determine if fucoidan, κ-carrageenan, and ulvan sulfated polysaccharides could be a potential target against PANc (pantothenate synthetase), with the goal of identifying potential inhibitors as anti-TB leads targeting PANc for further wet lab validation. Two bioactive compounds were docked to the Mtb pantothenate synthetase protein binding site, with docking scores ranging from - 5.57 to - 2.73. κ-carrageenan had the best pose and docking score, with a Ligand fit score of - 5.815. Ulvan did not dock with the protein. The molecular dynamics simulations were conducted with substrate and ligand bounded fucoidan and κ-carrageenan for 150 ns and the protein Mtb pantothenate synthetase showed a stable conformation in the simulation, with tight amino acid contributions binding to the ligand molecule. RMSD characterizes the conformation and stability of protein ligand complexes, with higher fluctuations indicating low stability and minimal low-level fluctuations indicating equilibration and stability. The graph for RMSF shows significant peaks due to fluctuations in active site regions and other peaks indicating the adaptation of the ligand molecule to the protein binding pocket. From the molecular dynamics study, it is clear that the compounds are having good binding affinity in the active site. The root mean square deviation, root mean square fluctuations, and radius of gyration are supportive evidences which helped us to conclude that the compounds κ-carrageenan and fucoidan are suitable lead molecules for inhibiting pantothenate synthetase. Based on these evidences, the natural compounds from seaweeds can be tested clinically either alone or in combinations against the protein, which could facilitate the designing or the synthesis of new lead molecules as drugs against the tuberculosis.

Towards Phytopathogen Diagnostics? Coconut Bud Rot Pathogen Phytophthora palmivora Mycelial Proteome Analysis Informs Genome Annotation

Planetary agriculture stands to benefit immensely from phytopathogen diagnostics, which would enable early detection of pathogens with harmful effects on crops. For example, Phytophthora palmivora is one of the most destructive phytopathogens affecting many economically important tropical crops such as coconut. P. palmivora causes diseases in over 200 host plants, and notably, the bud rot disease in coconut and oil palm, which is often lethal because it is usually detected at advanced stages of infection. Limited availability of large-scale omics datasets for P. palmivora is an important barrier for progress toward phytopathogen diagnostics. We report here the mycelial proteome of P. palmivora using high-resolution mass spectrometry analysis. We identified 8073 proteins in the mycelium. Gene Ontology-based functional classification of detected proteins revealed 4884, 4981, and 3044 proteins, respectively, with roles in biological processes, molecular functions, and cellular components. Proteins such as P-loop, NTPase, and WD40 domains with key roles in signal transduction pathways were identified. KEGG pathway analysis annotated 2467 proteins to various signaling pathways, such as phosphatidylinositol, Ca²⁺, and mitogen-activated protein kinase, and autophagy and cell cycle. These molecular substrates might possess vital roles in filamentous growth, sporangia formation, degradation of damaged cellular content, and recycling of nutrients in P. palmivora. This large-scale proteomics data and analyses pave the way for new insights on biology, genome annotation, and vegetative growth of the important plant pathogen P. palmivora. They also can help accelerate research on future phytopathogen diagnostics and preventive interventions.