Biology subjects

Umale, S.

Publications and source records attributed to Umale, S..

3 recordsLinked to original sources

bioRxiv2024

FROG Analysis Ensures the Reproducibility of Genome Scale Metabolic Models

Genome-scale metabolic models (GEMs) and other constraint-based models (CBMs) play a pivotal role in understanding biological phenotypes and advancing research in areas like metabolic engineering, human disease modelling, drug discovery, and personalized medicine. Despite their growing application, a significant challenge remains in ensuring the reproducibility of GEMs, primarily due to inconsistent reporting and inadequate model documentation of model results. Addressing this gap, we introduce FROG analysis, a community-driven initiative aimed at standardizing reproducibility assessments of CBMs and GEMs. The FROG framework encompasses four key analyses--Flux variability, Reaction deletion, Objective function, and Gene deletion--to produce standardized, numerically reproducible FROG reports. These reports serve as reference datasets, enabling model evaluators, curators, and independent researchers to verify the reproducibility of GEMs systematically. BioModels, a leading repository of systems biology models, has integrated FROG analysis into its curation workflow, enhancing the reproducibility and reusability of submitted GEMs. In our study evaluating 65 GEM submissions from the community, approximately 40% reproduced without intervention, 28% requiring minor adjustments, and 32% needing input from authors. The standardization introduced by FROG analysis facilitated the detection and resolution of issues, ultimately leading to the successful reproduction of all models. By establishing a standardized and comprehensive approach to evaluating GEM reproducibility, FROG analysis significantly contributes to making CBMs and GEMs more transparent, reusable, and reliable for the broader scientific community.

systems biology↗

bioRxiv2022

Metagenome-based metabolic modelling predicts unique microbial interactions in deep-sea hydrothermal plume microbiomes

Deep-sea hydrothermal vents are abundant on the ocean floor and play important roles in ocean biogeochemistry. In vent ecosystems such as hydrothermal plumes, microorganisms rely on reduced chemicals and gases in hydrothermal fluids to fuel primary production and form diverse and complex microbial communities. However, microbial interactions that drive these complex microbiomes remain poorly understood. Here, we use microbiomes from the Guaymas Basin hydrothermal system in the Pacific Ocean to shed more light on the key species in these communities and their interactions. We built metabolic models from metagenomically assembled genomes (MAGs) and infer possible metabolic exchanges and horizontal gene transfer (HGT) events within the community. We highlight possible archaea-archaea and archaea-bacteria interactions and their contributions to robustness of the community. Cellobiose, D-Mannose 1-phosphate, O2, CO2, and H2S were among the most exchanged metabolites. Ten microbes, including eight bacteria and two archaea, were identified as key contributors. These microorganisms uniquely enhanced the metabolic capabilities of the community by donating metabolites that cannot be produced by any other community member. Archaea from the DPANN group stood out as key microbes, benefiting significantly from accepting metabolites from other members of the microbiome. Amino acids were the key auxotrophy driving metabolic interactions in the community. Finally, over 200 horizontal gene transfer events were predicted in the community, the majority of which were between Gammaproteobacteria and Alphaproteobacteria. Overall, our study provides key insights into the microbial interactions that drive community structure and organisation in complex hydrothermal plumes and deep-sea microbiomes.

microbiology↗

bioRxiv2022

Live visualization of cytosolic and endoplasmic reticulum redox potential in zebrafish embryos reveals region-specific differences

Redox homeostasis is an integral part of many cellular processes, and its perturbation is associated with conditions such as diabetes, aging, and neurodegenerative disorders. Redox homeostasis or redox potential in organelles is maintained within a particular range to facilitate the organelle specific cellular redox reactions. Previous studies using yeast, cell systems, and nematodes have demonstrated that the Endoplasmic Reticulum (ER) has a more oxidizing environment while the cytosol exhibits a reducing redox potential. However, we know very little about how universal this phenomenon is. We created transgenic zebrafish (Danio rerio) lines with roGFP sensors targeted to the ER and cytosol for studying physiological redox potential at the systems level. In the process, we also characterized the ER-targeting signal sequence in D. rerio for the first time. Measurements of the redox state in live embryos found that the endoplasmic reticulum exhibits deviations from its expected oxidizing redox state in different regions of the developing embryos. The ER is far more reducing than expected in certain tissues of the embryo. Cytosol also exhibited unexpected redox states in some parts of the embryo. Notably, the brain showed regions with unexpected redox states in both the ER and the cytosol. Tissue-specific differences in ER-redox potential became even more evident in a transgenic line expressing the more sensitive roGFPiE variant. Thus, live monitoring of redox potential across the developing zebrafish embryos revealed unanticipated redox states of the ER that will require new biological definitions.

biochemistry↗