Nina Roothans, Martin Pabst, Menno van Diemen, Claudia Herrera Mexicano, Marcel Zandvoort, Thomas Abeel, Mark C M van Loosdrecht, Michele Laureni
{"title":"长期多元组学解决了废水处理过程中季节性N2O排放的生态生理控制。","authors":"Nina Roothans, Martin Pabst, Menno van Diemen, Claudia Herrera Mexicano, Marcel Zandvoort, Thomas Abeel, Mark C M van Loosdrecht, Michele Laureni","doi":"10.1038/s44221-025-00430-x","DOIUrl":null,"url":null,"abstract":"<p><p>Nitrous oxide (N<sub>2</sub>O) is the third most important greenhouse gas and originates primarily from natural and engineered microbiomes. Effective emission mitigations are currently hindered by the largely unresolved ecophysiological controls of coexisting N<sub>2</sub>O-converting metabolisms in complex communities. To address this, we used biological wastewater treatment as a model ecosystem and combined long-term metagenome-resolved metaproteomics with ex situ kinetic and full-scale operational characterization over nearly 2 years. By leveraging the evidence independently obtained at multiple ecophysiological levels, from individual genetic potential to actual metabolism and emergent community phenotype, the cascade of environmental and operational triggers driving seasonal N<sub>2</sub>O emissions has ultimately been resolved. We identified nitrifier denitrification as the dominant N<sub>2</sub>O-producing pathway and dissolved O<sub>2</sub> as the prime operational parameter, paving the way to the design and fostering of robust emission control strategies. This work exemplifies the untapped potential of multi-meta-omics in the mechanistic understanding and ecological engineering of microbiomes towards reducing anthropogenic impacts and advancing sustainable biotechnological developments.</p>","PeriodicalId":74252,"journal":{"name":"Nature water","volume":"3 5","pages":"590-604"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12098122/pdf/","citationCount":"0","resultStr":"{\"title\":\"Long-term multi-meta-omics resolves the ecophysiological controls of seasonal N<sub>2</sub>O emissions during wastewater treatment.\",\"authors\":\"Nina Roothans, Martin Pabst, Menno van Diemen, Claudia Herrera Mexicano, Marcel Zandvoort, Thomas Abeel, Mark C M van Loosdrecht, Michele Laureni\",\"doi\":\"10.1038/s44221-025-00430-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Nitrous oxide (N<sub>2</sub>O) is the third most important greenhouse gas and originates primarily from natural and engineered microbiomes. Effective emission mitigations are currently hindered by the largely unresolved ecophysiological controls of coexisting N<sub>2</sub>O-converting metabolisms in complex communities. To address this, we used biological wastewater treatment as a model ecosystem and combined long-term metagenome-resolved metaproteomics with ex situ kinetic and full-scale operational characterization over nearly 2 years. By leveraging the evidence independently obtained at multiple ecophysiological levels, from individual genetic potential to actual metabolism and emergent community phenotype, the cascade of environmental and operational triggers driving seasonal N<sub>2</sub>O emissions has ultimately been resolved. We identified nitrifier denitrification as the dominant N<sub>2</sub>O-producing pathway and dissolved O<sub>2</sub> as the prime operational parameter, paving the way to the design and fostering of robust emission control strategies. This work exemplifies the untapped potential of multi-meta-omics in the mechanistic understanding and ecological engineering of microbiomes towards reducing anthropogenic impacts and advancing sustainable biotechnological developments.</p>\",\"PeriodicalId\":74252,\"journal\":{\"name\":\"Nature water\",\"volume\":\"3 5\",\"pages\":\"590-604\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12098122/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature water\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1038/s44221-025-00430-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/5/7 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature water","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1038/s44221-025-00430-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/5/7 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Long-term multi-meta-omics resolves the ecophysiological controls of seasonal N2O emissions during wastewater treatment.
Nitrous oxide (N2O) is the third most important greenhouse gas and originates primarily from natural and engineered microbiomes. Effective emission mitigations are currently hindered by the largely unresolved ecophysiological controls of coexisting N2O-converting metabolisms in complex communities. To address this, we used biological wastewater treatment as a model ecosystem and combined long-term metagenome-resolved metaproteomics with ex situ kinetic and full-scale operational characterization over nearly 2 years. By leveraging the evidence independently obtained at multiple ecophysiological levels, from individual genetic potential to actual metabolism and emergent community phenotype, the cascade of environmental and operational triggers driving seasonal N2O emissions has ultimately been resolved. We identified nitrifier denitrification as the dominant N2O-producing pathway and dissolved O2 as the prime operational parameter, paving the way to the design and fostering of robust emission control strategies. This work exemplifies the untapped potential of multi-meta-omics in the mechanistic understanding and ecological engineering of microbiomes towards reducing anthropogenic impacts and advancing sustainable biotechnological developments.