Abstract
The main goal of the analysis of microbial ecology is to understand the relationship between Earth’s microbial community and their functions in the environment. This paper presents a proof-of-concept research to develop a bioclimatic modeling approach that leverages artificial intelligence techniques to identify the microbial species in a river as a function of physicochemical parameters. Feature reduction and selection are both utilized in the data preprocessing owing to the scarce of available data points collected and missing values of physicochemical attributes from a river in Southeast China. A bio-inspired metaheuristic optimized machine learner, which supports the adjustment to the multiple-output prediction form, is used in bioclimatic modeling. The accuracy of prediction and applicability of the model can help microbiologists and ecologists in quantifying the predicted microbial species for further experimental planning with minimal expenditure, which is become one of the most serious issues when facing dramatic changes of environmental conditions caused by global warming. This work demonstrates a neoteric approach for potential use in predicting preliminary microbial structures in the environment.
Highlights
Microorganisms play an important role in mediating global biochemical cycling
This paper develops a hybrid multi-output model for predicting various microbial communities, which integrates an optimization algorithm, called “adjusted particle swarm optimization”, to least squares support vector regression, which is a form of support vector machine; it is developed in MATLAB
Despite the limited data available, the hybrid multi-input multi-output model is a satisfactory model of the microbial community in the river of interest, based on psychochemical factors, as evidenced by the performance measures (MAAPE, MAE, and R2), which show the acceptability of the multi-output prediction
Summary
Microorganisms play an important role in mediating global biochemical cycling. Understanding the diversity and composition of a microbial community in a particular environment and its controlling factors is a critical goal of the analysis of microbial ecology [1,2,3]. Microbial ecology is the study of the interactions of microorganisms with their environment, each other, and plant and animal species [4,5,6] It includes the study of biogeochemical cycles, symbioses, and the interaction of microbes with anthropogenic phenomena such as climate change and pollution. Microorganisms are the smallest living organisms on Earth, but they are the most abundant as they occupy the entire biosphere They are the most diverse; the majority of them are unknown to scientists [7]. They can be found in every macro- or microenvironment from the surface and depths of the ocean to the skin and digestive systems of humans and animals. They are found in water, soil, and the human gut [8]—they are literally everywhere
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
