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Aso RE, Obuekwe IS. Polycyclic aromatic hydrocarbon: underpinning the contribution of specialist microbial species to contaminant mitigation in the soil. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:654. [PMID: 38913190 DOI: 10.1007/s10661-024-12778-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 06/06/2024] [Indexed: 06/25/2024]
Abstract
The persistence of PAHs poses a significant challenge for conventional remediation approaches, necessitating the exploration of alternative, sustainable strategies for their mitigation. This review underscores the vital role of specialized microbial species (nitrogen-fixing, phosphate-solubilizing, and biosurfactant-producing bacteria) in tackling the environmental impact of polycyclic aromatic hydrocarbons (PAHs). These resistant compounds demand innovative remediation strategies. The study explores microbial metabolic capabilities for converting complex PAHs into less harmful byproducts, ensuring sustainable mitigation. Synthesizing literature from 2016 to 2023, it covers PAH characteristics, sources, and associated risks. Degradation mechanisms by bacteria and fungi, key species, and enzymatic processes are examined. Nitrogen-fixing and phosphate-solubilizing bacteria contributions in symbiotic relationships with plants are highlighted. Biosurfactant-producing bacteria enhance PAH solubility, expanding microbial accessibility for degradation. Cutting-edge trends in omics technologies, synthetic biology, genetic engineering, and nano-remediation offer promising avenues. Recommendations emphasize genetic regulation, field-scale studies, sustainability assessments, interdisciplinary collaboration, and knowledge dissemination. These insights pave the way for innovative, sustainable PAH-contaminated environment restoration.
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Affiliation(s)
- Rufus Emamoge Aso
- Department of Microbiology, Faculty of Life Sciences, University of Benin, Benin, Edo State, Nigeria
| | - Ifeyinwa Sarah Obuekwe
- Department of Microbiology, Faculty of Life Sciences, University of Benin, Benin, Edo State, Nigeria.
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Miyamoto H, Kawachi N, Kurotani A, Moriya S, Suda W, Suzuki K, Matsuura M, Tsuji N, Nakaguma T, Ishii C, Tsuboi A, Shindo C, Kato T, Udagawa M, Satoh T, Wada S, Masuya H, Miyamoto H, Ohno H, Kikuchi J. Computational estimation of sediment symbiotic bacterial structures of seagrasses overgrowing downstream of onshore aquaculture. ENVIRONMENTAL RESEARCH 2023; 219:115130. [PMID: 36563976 DOI: 10.1016/j.envres.2022.115130] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 12/14/2022] [Accepted: 12/18/2022] [Indexed: 05/02/2023]
Abstract
Coastal seagrass meadows are essential in blue carbon and aquatic ecosystem services. However, this ecosystem has suffered severe eutrophication and destruction due to the expansion of aquaculture. Therefore, methods for the flourishing of seagrass are still being explored. Here, data from 49 public coastal surveys on the distribution of seagrass and seaweed around the onshore aquaculture facilities are revalidated, and an exceptional area where the seagrass Zostera marina thrives was found near the shore downstream of the onshore aquaculture facility. To evaluate the characteristics of the sediment for growing seagrass, physicochemical properties and bacterial ecological evaluations of the sediment were conducted. Evaluation of chemical properties in seagrass sediments confirmed a significant increase in total carbon and a decrease in zinc content. Association analysis and linear discriminant analysis refined bacterial candidates specified in seagrass overgrown- and nonovergrown-sediment. Energy landscape analysis indicated that the symbiotic bacterial groups of seagrass sediment were strongly affected by the distance close to the seagrass-growing aquaculture facility despite their bacterial population appearing to fluctuate seasonally. The bacterial population there showed an apparent decrease in the pathogen candidates belonging to the order Flavobacteriales. Moreover, structure equation modeling and a linear non-Gaussian acyclic model based on the machine learning data estimated an optimal sediment symbiotic bacterial group candidate for seagrass growth as follows: the Lachnospiraceae and Ruminococcaceae families as gut-inhabitant bacteria, Rhodobacteraceae as photosynthetic bacteria, and Desulfobulbaceae as cable bacteria modulating oxygen or nitrate reduction and oxidation of sulfide. These observations confer a novel perspective on the sediment symbiotic bacterial structures critical for blue carbon and low-pathogenic marine ecosystems in aquaculture.
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Affiliation(s)
- Hirokuni Miyamoto
- Graduate School of Horticulture, Chiba University: Matsudo, Chiba, 271-8501, Japan; RIKEN Center for Integrated Medical Science, Yokohama, Kanagawa, 230-0045, Japan; Japan Eco-science (Nikkan Kagaku) Co. Ltd.: Chiba, Chiba, 263-8522, Japan; Sermas Co., Ltd.: Ichikawa, Chiba, 272-0033, Japan.
| | | | - Atsushi Kurotani
- Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, 305-0856, Japan
| | - Shigeharu Moriya
- RIKEN, Center for Advanced Photonics, Wako, Saitama, 351-0198, Japan
| | - Wataru Suda
- RIKEN Center for Integrated Medical Science, Yokohama, Kanagawa, 230-0045, Japan
| | - Kenta Suzuki
- RIKEN, BioResource Research Center, Tsukuba, Ibaraki, 305-0074, Japan
| | - Makiko Matsuura
- Graduate School of Horticulture, Chiba University: Matsudo, Chiba, 271-8501, Japan; Sermas Co., Ltd.: Ichikawa, Chiba, 272-0033, Japan
| | - Naoko Tsuji
- Sermas Co., Ltd.: Ichikawa, Chiba, 272-0033, Japan
| | - Teruno Nakaguma
- Graduate School of Horticulture, Chiba University: Matsudo, Chiba, 271-8501, Japan; Japan Eco-science (Nikkan Kagaku) Co. Ltd.: Chiba, Chiba, 263-8522, Japan; Sermas Co., Ltd.: Ichikawa, Chiba, 272-0033, Japan
| | - Chitose Ishii
- RIKEN Center for Integrated Medical Science, Yokohama, Kanagawa, 230-0045, Japan; Sermas Co., Ltd.: Ichikawa, Chiba, 272-0033, Japan
| | - Arisa Tsuboi
- Japan Eco-science (Nikkan Kagaku) Co. Ltd.: Chiba, Chiba, 263-8522, Japan
| | - Chie Shindo
- Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, 305-0856, Japan
| | - Tamotsu Kato
- RIKEN Center for Integrated Medical Science, Yokohama, Kanagawa, 230-0045, Japan
| | - Motoaki Udagawa
- Keiyo Gas Energy Solution Co. Ltd.: Ichikawa, Chiba, 272-0033, Japan
| | - Takashi Satoh
- Division of Hematology, Kitasato University School of Allied Health Sciences, Sagamihara, Kanagawa, 252-0329, Japan
| | - Satoshi Wada
- RIKEN, Center for Advanced Photonics, Wako, Saitama, 351-0198, Japan
| | - Hiroshi Masuya
- RIKEN, BioResource Research Center, Tsukuba, Ibaraki, 305-0074, Japan
| | - Hisashi Miyamoto
- Sermas Co., Ltd.: Ichikawa, Chiba, 272-0033, Japan; Miroku Co.Ltd.: Kitsuki, Oita, 873-0021, Japan
| | - Hiroshi Ohno
- RIKEN Center for Integrated Medical Science, Yokohama, Kanagawa, 230-0045, Japan
| | - Jun Kikuchi
- RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa, 230-0045, Japan.
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Miyamoto H, Kikuchi J. An evaluation of homeostatic plasticity for ecosystems using an analytical data science approach. Comput Struct Biotechnol J 2023; 21:869-878. [PMID: 36698969 PMCID: PMC9860287 DOI: 10.1016/j.csbj.2023.01.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 01/02/2023] [Accepted: 01/03/2023] [Indexed: 01/05/2023] Open
Abstract
The natural world is constantly changing, and planetary boundaries are issuing severe warnings about biodiversity and cycles of carbon, nitrogen, and phosphorus. In other views, social problems such as global warming and food shortages are spreading to various fields. These seemingly unrelated issues are closely related, but it can be said that understanding them in an integrated manner is still a step away. However, progress in analytical technologies has been recognized in various fields and, from a microscopic perspective, with the development of instruments including next-generation sequencers (NGS), nuclear magnetic resonance (NMR), gas chromatography-mass spectrometry (GC/MS), and liquid chromatography-mass spectrometry (LC/MS), various forms of molecular information such as genome data, microflora structure, metabolome, proteome, and lipidome can be obtained. The development of new technology has made it possible to obtain molecular information in a variety of forms. From a macroscopic perspective, the development of environmental analytical instruments and environmental measurement facilities such as satellites, drones, observation ships, and semiconductor censors has increased the data availability for various environmental factors. Based on these background, the role of computational science is to provide a mechanism for integrating and understanding these seemingly disparate data sets. This review describes machine learning and the need for structural equations and statistical causal inference of these data to solve these problems. In addition to introducing actual examples of how these technologies can be utilized, we will discuss how to use these technologies to implement environmentally friendly technologies in society.
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Affiliation(s)
- Hirokuni Miyamoto
- Graduate School of Horticulture, Chiba University, Matsudo, Chiba 271-8501, Japan
- RIKEN Center for Integrative Medical Science, Yokohama, Kanagawa 230-0045, Japan
- Sermas Co., Ltd., Ichikawa, Chiba 272-0033, Japan
- Japan Eco-science (Nikkan Kagaku) Co. Ltd., Chiba, Chiba 260-0034, Japan
- Graduate School of Medical Life Science, Yokohama City University, Tsurumi, Yokohama 230-0045, Japan
| | - Jun Kikuchi
- Graduate School of Medical Life Science, Yokohama City University, Tsurumi, Yokohama 230-0045, Japan
- RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan
- Graduate School of Bioagricultural Sciences, Nagoya University, Chikusa, Nagoya 464-8601, Japan
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Fujiwara F, Miyazawa K, Nihei N, Ichihashi Y. Agroecosystem engineering extended from plant-microbe interactions revealed by multi-omics data. Biosci Biotechnol Biochem 2022; 87:21-27. [PMID: 36416843 DOI: 10.1093/bbb/zbac191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 11/05/2022] [Indexed: 11/24/2022]
Abstract
In an agroecosystem, plants and microbes coexist and interact with environmental factors such as climate, soil, and pests. However, agricultural practices that depend on chemical fertilizers, pesticides, and frequent tillage often disrupt the beneficial interactions in the agroecosystem. To reconcile the improvement of crop performance and reduction in environmental impacts in agriculture, we need to understand the functions of the complex interactions and develop an agricultural system that can maximize the potential benefits of the agroecosystem. Therefore, we are developing a system called the agroecosystem engineering system, which aims to optimize the interactions between crops, microbes, and environmental factors, using multi-omics analysis. This review first summarizes the progress and examples of omics approaches, including multi-omics analysis, to reveal complex interactions in the agroecosystem. The latter half of this review discusses the prospects of data analysis approaches in the agroecosystem engineering system, including causal network analysis and predictive modeling.
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Affiliation(s)
- Fuki Fujiwara
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.,BioResource Research Center, RIKEN, Tsukuba, Ibaraki, Japan
| | - Kae Miyazawa
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Naoto Nihei
- Faculty of Food and Agricultural Sciences, Fukushima University, Fukushima, Fukushima, Japan
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Miyamoto H, Asano F, Ishizawa K, Suda W, Miyamoto H, Tsuji N, Matsuura M, Tsuboi A, Ishii C, Nakaguma T, Shindo C, Kato T, Kurotani A, Shima H, Moriya S, Hattori M, Kodama H, Ohno H, Kikuchi J. A potential network structure of symbiotic bacteria involved in carbon and nitrogen metabolism of wood-utilizing insect larvae. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 836:155520. [PMID: 35508250 DOI: 10.1016/j.scitotenv.2022.155520] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 04/21/2022] [Accepted: 04/21/2022] [Indexed: 05/02/2023]
Abstract
Effective biological utilization of wood biomass is necessary worldwide. Since several insect larvae can use wood biomass as a nutrient source, studies on their digestive microbial structures are expected to reveal a novel rule underlying wood biomass processing. Here, structural inferences for inhabitant bacteria involved in carbon and nitrogen metabolism for beetle larvae, an insect model, were performed to explore the potential rules. Bacterial analysis of larval feces showed enrichment of the phyla Chroloflexi, Gemmatimonadetes, and Planctomycetes, and the genera Bradyrhizobium, Chonella, Corallococcus, Gemmata, Hyphomicrobium, Lutibacterium, Paenibacillus, and Rhodoplanes, as bacteria potential involved in plant growth promotion, nitrogen cycle modulation, and/or environmental protection. The fecal abundances of these bacteria were not necessarily positively correlated with their abundances in the habitat, indicating that they were selectively enriched in the feces of the larvae. Correlation and association analyses predicted that common fecal bacteria might affect carbon and nitrogen metabolism. Based on these hypotheses, structural equation modeling (SEM) statistically estimated that inhabitant bacterial groups involved in carbon and nitrogen metabolism were composed of the phylum Gemmatimonadetes and Planctomycetes, and the genera Bradyrhizobium, Corallococcus, Gemmata, and Paenibacillus, which were among the fecal-enriched bacteria. Nevertheless, the selected common bacteria, i.e., the phyla Acidobacteria, Armatimonadetes, and Bacteroidetes and the genera Candidatus Solibacter, Devosia, Fimbriimonas, Gemmatimonas Opitutus, Sphingobium, and Methanobacterium, were necessary to obtain good fit indices in the SEM. In addition, the composition of the bacterial groups differed depending upon metabolic targets, carbon and nitrogen, and their stable isotopes, δ13C and δ15N, respectively. Thus, the statistically derived causal structural models highlighted that the larval fecal-enriched bacteria and common symbiotic bacteria might selectively play a role in wood biomass carbon and nitrogen metabolism. This information could confer a new perspective that helps us use wood biomass more efficiently and might stimulate innovation in environmental industries in the future.
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Affiliation(s)
- Hirokuni Miyamoto
- Graduate School of Horticulture, Chiba University, Matsudo, Chiba 271-8501, Japan; RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan; Sermas Co., Ltd., Ichikawa, Chiba 272-0033, Japan; Japan Eco-science (Nikkan Kagaku) Co., Ltd., Chiba, Chiba 260-0034, Japan.
| | - Futo Asano
- Graduate School of Horticulture, Chiba University, Matsudo, Chiba 271-8501, Japan
| | | | - Wataru Suda
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | | | - Naoko Tsuji
- Sermas Co., Ltd., Ichikawa, Chiba 272-0033, Japan
| | - Makiko Matsuura
- Graduate School of Horticulture, Chiba University, Matsudo, Chiba 271-8501, Japan; Sermas Co., Ltd., Ichikawa, Chiba 272-0033, Japan
| | - Arisa Tsuboi
- Sermas Co., Ltd., Ichikawa, Chiba 272-0033, Japan; Japan Eco-science (Nikkan Kagaku) Co., Ltd., Chiba, Chiba 260-0034, Japan; RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan
| | - Chitose Ishii
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan; Sermas Co., Ltd., Ichikawa, Chiba 272-0033, Japan
| | - Teruno Nakaguma
- Graduate School of Horticulture, Chiba University, Matsudo, Chiba 271-8501, Japan; Sermas Co., Ltd., Ichikawa, Chiba 272-0033, Japan; Japan Eco-science (Nikkan Kagaku) Co., Ltd., Chiba, Chiba 260-0034, Japan
| | - Chie Shindo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Tamotsu Kato
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Atsushi Kurotani
- RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan
| | - Hideaki Shima
- RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan
| | - Shigeharu Moriya
- Graduate School of Horticulture, Chiba University, Matsudo, Chiba 271-8501, Japan; RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan
| | - Masahira Hattori
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan; School of Advanced Science and Engineering, Waseda University, Tokyo 169-8555, Japan
| | - Hiroaki Kodama
- Graduate School of Horticulture, Chiba University, Matsudo, Chiba 271-8501, Japan
| | - Hiroshi Ohno
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Jun Kikuchi
- RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan.
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