Metabolic implications for predatory and parasitic bacterial lineages in activated sludge wastewater treatment systems
Deciphering unclear microbial interactions is key to improving biological wastewater treatment processes. Microbial predation and parasitism in wastewater treatment ecosystems are unexplored survival strategies that have long been known and have recently attracted attention because these interspecie...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-09-01
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| Series: | Water Research X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589914723000324 |
| _version_ | 1797733910793158656 |
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| author | Kyohei Kuroda Shun Tomita Hazuki Kurashita Masashi Hatamoto Takashi Yamaguchi Tomoyuki Hori Tomo Aoyagi Yuya Sato Tomohiro Inaba Hiroshi Habe Hideyuki Tamaki Yoshihisa Hagihara Tomohiro Tamura Takashi Narihiro |
| author_facet | Kyohei Kuroda Shun Tomita Hazuki Kurashita Masashi Hatamoto Takashi Yamaguchi Tomoyuki Hori Tomo Aoyagi Yuya Sato Tomohiro Inaba Hiroshi Habe Hideyuki Tamaki Yoshihisa Hagihara Tomohiro Tamura Takashi Narihiro |
| author_sort | Kyohei Kuroda |
| collection | DOAJ |
| description | Deciphering unclear microbial interactions is key to improving biological wastewater treatment processes. Microbial predation and parasitism in wastewater treatment ecosystems are unexplored survival strategies that have long been known and have recently attracted attention because these interspecies interactions may contribute to the reduction of excess sludge. Here, microbial community profiling of 600 activated sludge samples taken from six industrial and one municipal wastewater treatment processes (WWTPs) was conducted. To identify the shared lineages in the WWTPs, the shared microbial constituents were defined as the family level taxa that had ≥ 0.1% average relative abundance and detected in all processes. The microbial community analysis assigned 106 families as the shared microbial constituents in the WWTPs. Correlation analysis showed that 98 of the 106 shared families were significantly correlated with total carbon (TC) and/or total nitrogen (TN) concentrations, suggesting that they may contribute to wastewater remediation. Most possible predatory or parasitic bacteria belonging to the phyla Bdellovibrionota, Myxococcota, and Candidatus Patescibacteria were found to be the shared families and negatively correlated with TC/TN; thus, they were frequently present in the WWTPs and could be involved in the removal of carbon/nitrogen derived from cell components. Shotgun metagenome-resolved metabolic reconstructions indicated that gene homologs associated with predation or parasitism are conserved in the Bdellovibrionota, Myxococcota, and Ca. Patescibacteria genomes (e.g., host interaction (hit) locus, Tad-like secretion complexes, and type IV pilus assembly proteins). This study provides insights into the complex microbial interactions potentially linked to the reduction of excess sludge biomass in these processes. |
| first_indexed | 2024-03-12T12:35:33Z |
| format | Article |
| id | doaj.art-a8ea8b574579441e856578d14bac1e95 |
| institution | Directory Open Access Journal |
| issn | 2589-9147 |
| language | English |
| last_indexed | 2024-03-12T12:35:33Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Water Research X |
| spelling | doaj.art-a8ea8b574579441e856578d14bac1e952023-08-29T04:17:45ZengElsevierWater Research X2589-91472023-09-0120100196Metabolic implications for predatory and parasitic bacterial lineages in activated sludge wastewater treatment systemsKyohei Kuroda0Shun Tomita1Hazuki Kurashita2Masashi Hatamoto3Takashi Yamaguchi4Tomoyuki Hori5Tomo Aoyagi6Yuya Sato7Tomohiro Inaba8Hiroshi Habe9Hideyuki Tamaki10Yoshihisa Hagihara11Tomohiro Tamura12Takashi Narihiro13Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 2‐17‐2‐1 Tsukisamu‐Higashi, Toyohira‐Ku, Sapporo, Hokkaido 062‐8517 Japan; Corresponding authors.Bioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 2‐17‐2‐1 Tsukisamu‐Higashi, Toyohira‐Ku, Sapporo, Hokkaido 062‐8517 JapanBioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 2‐17‐2‐1 Tsukisamu‐Higashi, Toyohira‐Ku, Sapporo, Hokkaido 062‐8517 Japan; Department of Science of Technology Innovation, Nagaoka University of Technology, 1603-1 Kamitomioka-Machi, Nagaoka, Niigata 940-2188 JapanDepartment of Science of Technology Innovation, Nagaoka University of Technology, 1603-1 Kamitomioka-Machi, Nagaoka, Niigata 940-2188 JapanDepartment of Science of Technology Innovation, Nagaoka University of Technology, 1603-1 Kamitomioka-Machi, Nagaoka, Niigata 940-2188 JapanEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 16–1, Onogawa, Tsukuba, Ibaraki 305–8569, JapanEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 16–1, Onogawa, Tsukuba, Ibaraki 305–8569, JapanEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 16–1, Onogawa, Tsukuba, Ibaraki 305–8569, JapanEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 16–1, Onogawa, Tsukuba, Ibaraki 305–8569, JapanEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 16–1, Onogawa, Tsukuba, Ibaraki 305–8569, JapanBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki 305-8566, JapanBioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba, Ibaraki 305-8566, JapanBioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 2‐17‐2‐1 Tsukisamu‐Higashi, Toyohira‐Ku, Sapporo, Hokkaido 062‐8517 JapanBioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 2‐17‐2‐1 Tsukisamu‐Higashi, Toyohira‐Ku, Sapporo, Hokkaido 062‐8517 Japan; Corresponding authors.Deciphering unclear microbial interactions is key to improving biological wastewater treatment processes. Microbial predation and parasitism in wastewater treatment ecosystems are unexplored survival strategies that have long been known and have recently attracted attention because these interspecies interactions may contribute to the reduction of excess sludge. Here, microbial community profiling of 600 activated sludge samples taken from six industrial and one municipal wastewater treatment processes (WWTPs) was conducted. To identify the shared lineages in the WWTPs, the shared microbial constituents were defined as the family level taxa that had ≥ 0.1% average relative abundance and detected in all processes. The microbial community analysis assigned 106 families as the shared microbial constituents in the WWTPs. Correlation analysis showed that 98 of the 106 shared families were significantly correlated with total carbon (TC) and/or total nitrogen (TN) concentrations, suggesting that they may contribute to wastewater remediation. Most possible predatory or parasitic bacteria belonging to the phyla Bdellovibrionota, Myxococcota, and Candidatus Patescibacteria were found to be the shared families and negatively correlated with TC/TN; thus, they were frequently present in the WWTPs and could be involved in the removal of carbon/nitrogen derived from cell components. Shotgun metagenome-resolved metabolic reconstructions indicated that gene homologs associated with predation or parasitism are conserved in the Bdellovibrionota, Myxococcota, and Ca. Patescibacteria genomes (e.g., host interaction (hit) locus, Tad-like secretion complexes, and type IV pilus assembly proteins). This study provides insights into the complex microbial interactions potentially linked to the reduction of excess sludge biomass in these processes.http://www.sciencedirect.com/science/article/pii/S2589914723000324Activated sludgeMetagenomicsMicrobial communityPredatory bacteriaSymbiosis |
| spellingShingle | Kyohei Kuroda Shun Tomita Hazuki Kurashita Masashi Hatamoto Takashi Yamaguchi Tomoyuki Hori Tomo Aoyagi Yuya Sato Tomohiro Inaba Hiroshi Habe Hideyuki Tamaki Yoshihisa Hagihara Tomohiro Tamura Takashi Narihiro Metabolic implications for predatory and parasitic bacterial lineages in activated sludge wastewater treatment systems Water Research X Activated sludge Metagenomics Microbial community Predatory bacteria Symbiosis |
| title | Metabolic implications for predatory and parasitic bacterial lineages in activated sludge wastewater treatment systems |
| title_full | Metabolic implications for predatory and parasitic bacterial lineages in activated sludge wastewater treatment systems |
| title_fullStr | Metabolic implications for predatory and parasitic bacterial lineages in activated sludge wastewater treatment systems |
| title_full_unstemmed | Metabolic implications for predatory and parasitic bacterial lineages in activated sludge wastewater treatment systems |
| title_short | Metabolic implications for predatory and parasitic bacterial lineages in activated sludge wastewater treatment systems |
| title_sort | metabolic implications for predatory and parasitic bacterial lineages in activated sludge wastewater treatment systems |
| topic | Activated sludge Metagenomics Microbial community Predatory bacteria Symbiosis |
| url | http://www.sciencedirect.com/science/article/pii/S2589914723000324 |
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