What is it about?
The chapter "Exploring the Role of Artificial Intelligence in Microbial Identification, Environmental Distribution, and Ecological Interactions" highlights the transformative role of artificial intelligence (AI) in modern microbial research. It discusses how AI-powered tools and machine learning algorithms are revolutionizing microbial identification by enabling rapid, accurate classification through genomic, proteomic, and imaging data. The chapter also explores how AI models are used to predict and map microbial distribution across diverse environments—such as soil, water, and air—under the influence of climate and anthropogenic factors. Furthermore, it delves into the use of AI to understand complex ecological interactions among microbial communities, supporting insights into symbiosis, competition, and ecosystem dynamics. Overall, the chapter emphasizes AI as a powerful enabler of precision, scalability, and novel discovery in environmental microbiology and microbial ecology.
Featured Image
Photo by Araf Ibne Alam on Unsplash
Why is it important?
The chapter "Exploring the Role of Artificial Intelligence in Microbial Identification, Environmental Distribution, and Ecological Interactions" underscores the growing significance of integrating artificial intelligence into microbial and environmental research. It highlights how AI-driven approaches offer enhanced speed, precision, and scalability in microbial identification using genomic, proteomic, and imaging data. By enabling accurate mapping of microbial communities across diverse environments, AI tools support better monitoring of ecological changes influenced by climate, pollution, and human activities. Additionally, the chapter emphasizes AI’s role in decoding complex microbial interactions within ecosystems, offering new insights into community dynamics, symbiosis, and functional roles. This work is crucial in promoting interdisciplinary collaboration and paves the way for innovative applications in health, agriculture, and environmental sustainability.
Perspectives
As a contributing author, I believe this chapter serves as a timely and essential contribution to the evolving intersection of artificial intelligence and microbial sciences. In an era where microbial data is vast and complex, AI offers unprecedented opportunities to accelerate identification, improve classification accuracy, and uncover hidden patterns within microbial communities. From my perspective, one of the most valuable aspects of this work is its focus on using AI to model environmental distribution and predict microbial behavior under changing ecological conditions—an area critical for addressing global challenges such as climate change and environmental degradation.
Dr. Abrar Hussain
University of Karachi
Read the Original
This page is a summary of: Exploring the Role of Artificial Intelligence in Microbial Identification, Environmental Distribution, and Ecological Interactions, June 2025, Taylor & Francis,
DOI: 10.1201/9781003492788-10.
You can read the full text:
Resources
Contributors
The following have contributed to this page
