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Research of Scientia Naturalis
Published by Yayasan Adra Karima Hubbi
ISSN : 30479932     EISSN : 30479940     DOI : 10.70177/scientia
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Chemistry Physics
Research of Scientia Naturalis is an international forum for the publication of peer-reviewed integrative review articles, special thematic issues, reflections or comments on previous research or new research directions, interviews, replications, and intervention articles - all pertaining to the research fields of Mathematics and Natural Sciences. All publications provide breadth of coverage appropriate to a wide readership in Mathematics and Natural Sciences research depth to inform specialists in that area. We feel that the rapidly growing Research of Scientia Naturalis community is looking for a journal with this profile that we can achieve together. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : Umum - Umum
Articles 1 Documents
 1 
Search results for , issue "Vol. 3 No. 2 (2026)" : 1 Documents clear
MICROBIAL RESILIENCE UNDER ENVIRONMENTAL STRESS: A SYSTEMS-LEVEL ANALYSIS OF METABOLIC AND GENOMIC ADAPTATION Salim, Achmad Agus; Wei, Li; Johnson, Emily
Research of Scientia Naturalis Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i2.3630

Abstract

Microbial resilience under environmental stress represents a fundamental aspect of biological survival, shaped by complex interactions between metabolic processes and genomic adaptation. Increasing environmental pressures such as temperature fluctuation, oxidative stress, and nutrient limitation challenge microbial stability, yet existing studies often examine metabolic and genetic responses in isolation. This study aims to develop a systems-level framework that integrates metabolic and genomic dimensions to explain how microorganisms sustain functionality under stress. The research employs a mixed-methods design combining laboratory-based multi-omics data, secondary datasets, and nonlinear computational modeling to analyze adaptive responses across temporal phases. Results indicate that microbial resilience is governed by coordinated mechanisms involving rapid metabolic reprogramming and subsequent genomic modification, with nonlinear dynamics such as threshold effects and multi-stable states shaping system behavior. Gene expression, metabolite flux, and mutation frequency exhibit strong interdependence, revealing feedback-driven adaptation rather than linear response patterns. The findings demonstrate that resilience emerges as a dynamic and context-sensitive process rather than a static trait. The study concludes that integrating ecological, metabolic, and genomic perspectives through nonlinear modeling significantly enhances the understanding of microbial adaptation and provides a robust analytical framework for future research and applied sciences.

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