Associative analysis of sludge microbiota and wastewater degradation efficacy within swine farm sludge systems
Industrial wastewater management is a significant global challenge. Sludge microbiota from swine farms may play a crucial role in enhancing wastewater treatment processes, thereby reducing water pollution from industrial activities. A deeper understanding of this complex community could lead to inno...
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Elsevier
2024-11-01
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| author | Cheng-Han Cai Chee Kin Then Yan-Ling Lin Cheng-Chun Shih Chih-Chieh Li Tzu-Sen Yang |
| author_facet | Cheng-Han Cai Chee Kin Then Yan-Ling Lin Cheng-Chun Shih Chih-Chieh Li Tzu-Sen Yang |
| author_sort | Cheng-Han Cai |
| collection | DOAJ |
| description | Industrial wastewater management is a significant global challenge. Sludge microbiota from swine farms may play a crucial role in enhancing wastewater treatment processes, thereby reducing water pollution from industrial activities. A deeper understanding of this complex community could lead to innovative approaches for improving wastewater treatment methods. Sludge samples were collected from the anaerobic, sedimentation, and thickening tanks of ten swine farms. The microbiota communities were analyzed using 16S rRNA full-length sequencing on the PacBio platform, with subsequent data analysis conducted on the QIIME2 platform utilizing the SILVA database. Compared to anaerobic and thickening tanks, the sedimentation tanks exhibited a unique profile of sludge microbiota, with higher abundances of the phyla Proteobacteria, Bacteroidota, and Caldatribacteriota. Additionally, sludges from farms already utilized in processing industrial water—specifically farms B, G, and J—contained higher concentrations of bacteria (>20 ng/μL), indicating the robustness of the bacterial load for practical industrial use. Furthermore, sludge from farms with higher alpha diversity, such as E, G, I, and J, exhibited enriched degradation profiles, including the degradation of aromatic compounds, polymers, industrial compounds, toluene, and vanillin. The farms were categorized based on wastewater ammonia nitrogen degradation levels, revealing a clustering effect of the microbiota from the sedimentation tanks in the Principal Coordinates Analysis (PCoA) plot. A higher relative abundance of the families Rhodocyclaceae, AKYH767, and Comamonadaceae, and a lower abundance of the families Anaerolineaceae and Christensenellaceae, were found in groups with high ammonia nitrogen reduction, suggesting potential targets for bioaugmentation strategies. In conclusion, this study underscores the critical role of microbial abundance, composition, and biodiversity in optimizing wastewater treatment and advocates for comprehensive microbiota analysis to identify suitable sludge for industrial applications. |
| format | Article |
| id | doaj-art-882b0f4f13f64f9884db1d0e62651564 |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-882b0f4f13f64f9884db1d0e626515642024-11-15T06:14:11ZengElsevierHeliyon2405-84402024-11-011021e39997Associative analysis of sludge microbiota and wastewater degradation efficacy within swine farm sludge systemsCheng-Han Cai0Chee Kin Then1Yan-Ling Lin2Cheng-Chun Shih3Chih-Chieh Li4Tzu-Sen Yang5Industry Technology Research Institute, Nantou City, TaiwanDepartment of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, TaiwanIndustry Technology Research Institute, Nantou City, TaiwanIndustry Technology Research Institute, Nantou City, TaiwanIndustry Technology Research Institute, Nantou City, TaiwanGraduate Institute of Biomedical Optomechatronics, Taipei Medical University, Taipei, 110, Taiwan; International Ph.D. Program in Biomedical Engineering, Taipei Medical University, Taipei, 110, Taiwan; School of Dental Technology, Taipei Medical University, Taipei, 110, Taiwan; Research Center of Biomedical Device, Taipei Medical University, Taipei, 110, Taiwan; TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei, 110, Taiwan; Corresponding author. Institute of Biomedical Optomechatronics, Taipei Medical University No.301, Yuantong Rd., Zhonghe Dist., New Taipei City 235, Taiwan.Industrial wastewater management is a significant global challenge. Sludge microbiota from swine farms may play a crucial role in enhancing wastewater treatment processes, thereby reducing water pollution from industrial activities. A deeper understanding of this complex community could lead to innovative approaches for improving wastewater treatment methods. Sludge samples were collected from the anaerobic, sedimentation, and thickening tanks of ten swine farms. The microbiota communities were analyzed using 16S rRNA full-length sequencing on the PacBio platform, with subsequent data analysis conducted on the QIIME2 platform utilizing the SILVA database. Compared to anaerobic and thickening tanks, the sedimentation tanks exhibited a unique profile of sludge microbiota, with higher abundances of the phyla Proteobacteria, Bacteroidota, and Caldatribacteriota. Additionally, sludges from farms already utilized in processing industrial water—specifically farms B, G, and J—contained higher concentrations of bacteria (>20 ng/μL), indicating the robustness of the bacterial load for practical industrial use. Furthermore, sludge from farms with higher alpha diversity, such as E, G, I, and J, exhibited enriched degradation profiles, including the degradation of aromatic compounds, polymers, industrial compounds, toluene, and vanillin. The farms were categorized based on wastewater ammonia nitrogen degradation levels, revealing a clustering effect of the microbiota from the sedimentation tanks in the Principal Coordinates Analysis (PCoA) plot. A higher relative abundance of the families Rhodocyclaceae, AKYH767, and Comamonadaceae, and a lower abundance of the families Anaerolineaceae and Christensenellaceae, were found in groups with high ammonia nitrogen reduction, suggesting potential targets for bioaugmentation strategies. In conclusion, this study underscores the critical role of microbial abundance, composition, and biodiversity in optimizing wastewater treatment and advocates for comprehensive microbiota analysis to identify suitable sludge for industrial applications.http://www.sciencedirect.com/science/article/pii/S2405844024160288Sludge microbiotaWastewater treatmentAmmonia nitrogen reductionMicrobial diversityBioaugmentation strategies |
| spellingShingle | Cheng-Han Cai Chee Kin Then Yan-Ling Lin Cheng-Chun Shih Chih-Chieh Li Tzu-Sen Yang Associative analysis of sludge microbiota and wastewater degradation efficacy within swine farm sludge systems Heliyon Sludge microbiota Wastewater treatment Ammonia nitrogen reduction Microbial diversity Bioaugmentation strategies |
| title | Associative analysis of sludge microbiota and wastewater degradation efficacy within swine farm sludge systems |
| title_full | Associative analysis of sludge microbiota and wastewater degradation efficacy within swine farm sludge systems |
| title_fullStr | Associative analysis of sludge microbiota and wastewater degradation efficacy within swine farm sludge systems |
| title_full_unstemmed | Associative analysis of sludge microbiota and wastewater degradation efficacy within swine farm sludge systems |
| title_short | Associative analysis of sludge microbiota and wastewater degradation efficacy within swine farm sludge systems |
| title_sort | associative analysis of sludge microbiota and wastewater degradation efficacy within swine farm sludge systems |
| topic | Sludge microbiota Wastewater treatment Ammonia nitrogen reduction Microbial diversity Bioaugmentation strategies |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024160288 |
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