Microbial Responses, Pollutant Toxicity Mechanisms, and Human Health Implications
A special issue of Biology (ISSN 2079-7737).
Deadline for manuscript submissions: 10 July 2026 | Viewed by 149
Special Issue Editors
Interests: aquaculture; environmental science; environmental chemistry; ecology; molecular biology
2. East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China
Interests: microalgae; photosynthesis; chlorophyll fluorescence; algae culture; microorganisms; environmental plant physiology; abiotic stress tolerance; ecophysiology; photoprotection; photosystem II protein complex
2. School of Big Data and Artificial Intelligence, Chizhou University, Chizhou 247000, China
Interests: microbiology; heavy metal pollution; quorum sensing; machine learning and deep learning applications in biology; pangenomics; comparative genomics; plant physiology; antibiotics; climate change biology; crustacean
Special Issue Information
Dear Colleagues,
This Special Issue aims to gather interdisciplinary research addressing environmental sustainability challenges posed by heavy metal pollution, emerging pollutants, climate change, and anthropogenic disturbances. It focuses on molecular, physiological, and ecological responses of organisms across microbiology, plant and algal physiology, aquatic biology, environmental chemistry, computational biology, and human health implications. Key areas include microbial tolerance and detoxification mechanisms, especially in response to heavy metals, and comparative/pangenomic approaches to uncover functional diversity and evolutionary patterns in bacteria and algae. The issue also highlights advances in algal and plant physiological responses under abiotic stress, microalgae cultivation, algal-microbial interactions, and their biotechnological applications. Additionally, it invites studies on aquatic organisms' responses to environmental stressors, emerging pollutants exposure, environmental toxicity, and climate-induced impacts. Research on human health implications of environmental stressors, including the role of microbiota in health and disease, is also welcome. Contributions employing machine learning and deep learning to analyze complex biological data and integrative approaches combining high-throughput data, experimental biology, and ecological modeling are encouraged. This Special Issue seeks to showcase cutting-edge interdisciplinary research that advances our understanding of organismal resilience and adaptive mechanisms, and development of innovative strategies for environmental monitoring, restoration, and sustainable resource use in the face of global change.
Dr. Chao Song
Dr. Zhongquan Jiang
Guest Editors
Dr. Jiale Chen
Guest Editor Assistant
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Keywords
- heavy metal and emerging pollutants
- microbiology and plant physiology
- aquatic biology
- environmental chemistry
- anthropogenic disturbances
- machine learning
- pangenome analysis
- computational toxicology
- human health
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