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Updated: Jun 19, 2026

A Novel Bioreactor for High Density Cultivation of Diverse Microbial Communities
Published on: December 25, 2015
Microbial community structure in autotrophic nitrifying granules characterized by experimental and simulation
Shinya Matsumoto1, Mayu Katoku, Goro Saeki
1Department of Life Science and Medical Bioscience, Waseda University, Wakamatsu-cho 2-2, Shinjuku-ku, Tokyo 162-8480, Japan.
This study reveals the distinct spatial organization of ammonia-oxidizing, nitrite-oxidizing, and heterotrophic bacteria within nitrifying granules. Combining molecular, microelectrode, and modeling techniques provides a comprehensive understanding of these microbial communities.
Area of Science:
- Environmental microbiology
- Biotechnology
- Wastewater treatment
Background:
- Nitrifying granules are crucial for efficient ammonia removal in wastewater treatment.
- Understanding the microbial community structure and spatial organization within these granules is essential for optimizing their performance.
- Previous studies often relied on single techniques, potentially limiting a holistic view of granule ecology.
Purpose of the Study:
- To elucidate the community structure and spatial distribution of bacteria in aerobic nitrifying granules.
- To investigate the interactions between ammonia-oxidizing bacteria, nitrite-oxidizing bacteria, and heterotrophic bacteria within the granules.
- To validate experimental findings with mathematical modeling for a comprehensive understanding.
Main Methods:
- Multivalent approach combining Fluorescence In Situ Hybridization (FISH) and 16S rRNA clone library analysis for bacterial identification and localization.
- Microelectrode measurements to determine microprofiles of key substrates and products (ammonium, nitrite, nitrate, oxygen).
- One- and two-dimensional numerical biofilm models to simulate granule development and bacterial interactions.
Main Results:
- Ammonia-oxidizing bacteria were found in the outer layer (0-200 µm), nitrite-oxidizing bacteria in a deeper layer (200-300 µm), and heterotrophic bacteria in the core.
- Measured microprofiles of NH(4)(+), NO(2)(-), NO(3)(-), and O(2) correlated well with the observed bacterial distribution.
- Numerical models accurately predicted bacterial distribution and substrate/product profiles, supporting the proposed interactions.
Conclusions:
- The combination of molecular techniques, microelectrode measurements, and mathematical modeling provides a powerful tool for understanding nitrifying granule structure and function.
- The spatial segregation of bacterial groups is driven by substrate availability and microbial interactions within the granule.
- This integrated approach offers deeper insights into nitrifying granules than individual methods alone, crucial for optimizing wastewater treatment processes.
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