Functional prediction, characterization, and categorization of operome from Acetoanaerobium sticklandii DSM 519

Targeting XGHPRT enzyme to manage Helicobacter pylori induced gastric cancer: A multi-pronged machine learning, artificial intelligence and biophysics-based study

Helicobacter pylori infects the stomach mucosa of over half of the global population and can lead to gastric cancer. This pathogen has demonstrated resistance to many frequently prescribed antibiotics, thereby underscoring the pressing need to identify novel therapeutic targets. The inhibition or disruption of nucleic acid biosynthesis constitutes a promising avenue for either restraining or eradicating bacterial proliferation. The synthesis of RNA and DNA precursors (6-oxopurine nucleoside monophosphates) is catalyzed by the XGHPRT enzyme. In this study, using machine learning, artificial intelligence and biophysics-based software, CHEMBRIDGE-10000196, CHEMBRIDGE-10000295, and CHEMBRIDGE-10000955 were predicted as promising binders to the XGHPRT with a binding score of -14.20, -13.64, and -12.08 kcal/mol, respectively, compared to a control guanosine-5'-monophosphate exhibiting a docking score of -10.52 kcal/mol. These agents formed strong interactions with Met33, Arg34, Ala57, Asp92, Ser93, and Gly94 at short distance. The docked complexes of the lead compounds exhibited stable dynamics during the simulation time with no global changes noticed. The docked complexes demonstrate a significantly stable MM-GBSA and MM-PBSA net binding energy of -60.1 and -61.18 kcal/mol for the CHEMBRIDGE-10000196 complex. The MM-GBSA net energy value of the CHEMBRIDGE-10000295 complex and the CHEMBRIDGE-10000955 complex is -71.17 and -65.29 kcal/mol, respectively. The CHEMBRIDGE-10000295 and CHEMBRIDGE-10000955 complexes displayed a net value of -71.91 and -63.49 kcal/mol, respectively, as per the MM-PBSA. The major driving intermolecular interactions for the docked complexes were found to be the electrostatic and van der Waals. The three filtered molecules hold potential for experimental evaluation of their potency against the XGHPRT enzyme.

Comparative genomic analysis of hyper-ammonia producing Acetoanaerobium sticklandii DSM 519 with purinolytic Gottschalkia acidurici 9a and pathogenic Peptoclostridium difficile 630

Acetoanaerobium sticklandii DSM519 (CST) is a hype-ammonia producing non-pathogenic anaerobe that can use amino acids as important carbon and energy sources through the Stickland reactions. Biochemical aspects of this organism have been extensively studied, but systematic studies addressing its metabolic discrepancy remain scant. In this perspective, we have intensively analyzed its genomic and metabolic characteristics to comprehend the evolutionary conservation of amino acid catabolism by a comparative genomic approach. The whole-genome data indicated that CST has shown a phylogenomic similarity with hyper-ammonia producing, purinolytic, and proteolytic pathogenic Clostridia. CST has shown to common genomic context sharing across the purinolytic Gottschalkia acidurici 9a and pathogenic Peptoclostridium difficile 630. Genome syntenic analysis described that syntenic orthologs might be originated from the recent ancestor at a slow evolution rate and syntenic-out paralogs evolved from either CDF or CAC via α-event and β-event. Collinearity of either gene orders or gene families was adjusted with syntenic out-paralogs across these genomes. The genome-wide metabolic analysis predicted 11 unique putative metabolic subsystems from the CST genome for amino acid catabolism and hydrogen production. The in silico analysis of our study revealed that a characteristic system for amino acid catabolism-directed biofuel synthesis might have slowly evolved and established as a core genomic content of CST.

Inhibition of norfloxacin on anaerobic digestion: Focusing on the recoverability and shifted microbial communities

Antibacterial properties of norfloxacin (NOR) could cause adverse impact on engineered biological process. In this study, the objective was to investigate the inhibitory effects of NOR on anaerobic digestion focusing on the recoverability and microbial community changes. The effects of different concentrations of NOR on anaerobic digestion were studied with three continuous feed cycles. Results showed that NOR seriously inhibited the methane production with an 50% inhibitory concentration (IC₅₀) of 0.41 mM. In addition, with extending of exposure time, inhibitory effect increasingly strengthened and the IC₅₀ values decreased to 0.16 mM and 0.07 mM in the second and third feeding cycle, respectively. However, when the inhibitor in supernatant was removed, the performance recovered and the relative methane yield increased by 9 times from 25.38 mL/g VS to 257.05 mL/g VS. The transformation of NOR showed that the degradation of NOR in the anaerobic digestion was difficult and the recovery was due to the removal of NOR. The microbial analysis revealed that the inhibition of NOR on bacteria of Candidatus_Cloacimonas, Petrimonas, Ercella, Sphaerochaeta and hydrogenotrophic methanogens of Methanoculleus and Methanobacterium was recoverable when NOR was removed. However, it was irreversible for acetoclastic methanogen of Methanosaeta. These findings provided comprehensive understanding on the characteristics of NOR inhibition and also provided feasible strategy to recover the NOR inhibited anaerobic digestion.

Functional Prediction and Assignment of Methanobrevibacter ruminantium M1 Operome Using a Combined Bioinformatics Approach

Methanobrevibacter ruminantium M1 (MRU) is a rod-shaped rumen methanogen with the ability to use H₂ and CO₂, and formate as substrates for methane formation in the ruminants. Enteric methane emitted from this organism can also be influential to the loss of dietary energy in ruminants and humans. To date, there is no successful technology to reduce methane due to a lack of knowledge on its molecular machinery and 73% conserved hypothetical proteins (HPs; operome) whose functions are still not ascertained perceptively. To address this issue, we have predicted and assigned a precise function to HPs and categorize them as metabolic enzymes, binding proteins, and transport proteins using a combined bioinformatics approach. The results of our study show that 257 (34%) HPs have well-defined functions and contributed essential roles in its growth physiology and host adaptation. The genome-neighborhood analysis identified 6 operon-like clusters such as hsp, TRAM, dsr, cbs and cas, which are responsible for protein folding, sudden heat-shock, host defense, and protection against the toxicities in the rumen. The functions predicted from MRU operome comprised of 96 metabolic enzymes with 17 metabolic subsystems, 31 transcriptional regulators, 23 transport, and 11 binding proteins. Functional annotation of its operome is thus more imperative to unravel the molecular and cellular machinery at the systems-level. The functional assignment of its operome would advance strategies to develop new anti-methanogenic targets to mitigate methane production. Hence, our approach provides new insight into the understanding of its growth physiology and lifestyle in the ruminants and also to reduce anthropogenic greenhouse gas emissions worldwide.

Growth-associated catabolic potential of Acetoanaerobium sticklandii DSM 519 on gelatin and amino acids

Acetoanaerobium sticklandii DSM 519 is a hyperammonia-producing anaerobe that catabolizes proteins and amino acids into organic solvents and volatile acids via the Stickland reactions. However, the specific growth rate and metabolic capability of this organism on proteins and amino acids are not yet known. Therefore, the present study was intended to evaluate its specific growth rate and metabolic potential on gelatin and amino acids in the experimental media. We carried out metabolic assay experiments to calculate its ability to utilize pure gelatin, single amino acids, and amino acid pairs at different growth phases. The results of this study show that complete assimilation of gelatin was achieved by its log-phase culture. The subsequent fermentation of amino acids was much faster than gelatin hydrolysis. The rate of gelatin degradation was associated with the growth and catabolic rates of this organism. Many amino acids were not assimilated completely for its growth and energy conservation. A log-phase culture of this organism preferably utilized l-cysteine, l-arginine, and l-serine, and released more fraction of ammonia. As shown by our analysis, the catabolic rates of these amino acids were determined by the rates of respective enzymes involved in amino acid catabolic pathways and feedback repression of ammonia. The growth kinetic data indicated that at the initial growth stage, a metabolic shift in its solventogenesis and acidogenesis phases was associated with catabolism of certain amino acids. Thus, the results of this study provide a new insight to exploit its log-phase culture as a starter for the production of biofuel components from gelatin processing industries.

Comparative analysis of differential proteome-wide protein-protein interaction network of Methanobrevibacter ruminantium M1

A proteome-wide protein-protein interaction (PPI) network of Methanobrevibacter ruminantium M1 (MRU), a predominant rumen methanogen, was constructed from its metabolic genes using a gene neighborhood algorithm and then compared with closely related rumen methanogens Using proteome-wide PPI approach, we constructed network encompassed 2194 edges and 637 nodes interacting with 634 genes. Network quality and robustness of functional modules were assessed with gene ontology terms. A structure-function-metabolism mapping for each protein has been carried out with efforts to extract experimental PPI concomitant information from the literature. The results of our study revealed that some topological properties of its network were robust for sharing homologous protein interactions across heterotrophic and hydrogenotrophic methanogens. MRU proteome has shown to establish many PPI sub-networks for associated metabolic subsystems required to survive in the rumen environment. MRU genome found to share interacting proteins from its PPI network involved in specific metabolic subsystems distinct to heterotrophic and hydrogenotrophic methanogens. Across these proteomes, the interacting proteins from differential PPI networks were shared in common for the biosynthesis of amino acids, nucleosides, and nucleotides and energy metabolism in which more fractions of protein pairs shared with Methanosarcina acetivorans. Our comparative study expedites our knowledge to understand a complex proteome network associated with typical metabolic subsystems of MRU and to improve its genome-scale reconstruction in the future.