两个全尺寸海水淡化处理列车的微生物多样性分析提供了有害生物膜形成的见解

IF 4.9 Q1 ENGINEERING, CHEMICAL
Mircea Podar , Amanda L. May , Weiliang Bai , Kellie Peyton , Dawn M. Klingeman , Cynthia M. Swift , Devan A.F. Linson , Jacques Mathieu , Daniel Siljeström , Ignacio Beneyto , Lauren B. Stadler , Yosef Pinhas , Frank E. Löffler , Pedro J.J. Alvarez , Manish Kumar
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引用次数: 6

摘要

反渗透膜上的有害生物膜仍然是海水淡化的关键挑战。16S rRNA基因扩增子测序数据的比较分析揭示了美国两个最大的海水淡化设施(Claude“Bud”Lewis Carlsbad海水淡化厂和Tampa Bay海水淡化厂)与单元操作相关的生物膜群落的差异和共性。在两个工厂,单一时间点收集的给水不能很好地反映反渗透膜群落,而反渗透膜群落显示出更大的分类群多样性。对卡尔斯巴德植物预滤膜的分析显示,与RO模块生物膜相似的分类群多样性很高,但存在相关差异。藻类序列在预滤盒上富集,代表掠食性细菌蛭弧菌的序列也富集。代表机会性γ变形菌(即希瓦氏菌,Woesia)的序列在反渗透膜上的相对丰度明显高于预过滤筒,表明某些分类群在反渗透模块中生长。非靶向代谢组学区分了海水淡化厂内部和内部的生物膜样品,突出了这种生物膜监测工具的潜在价值。这些发现强调了组学工具对有效微生物监测的价值,了解反渗透海水淡化厂内的生物污染动态,并为开发生态知情的生物膜控制措施提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Microbial diversity analysis of two full-scale seawater desalination treatment trains provides insights into detrimental biofilm formation

Microbial diversity analysis of two full-scale seawater desalination treatment trains provides insights into detrimental biofilm formation

Detrimental biofilms on RO membranes remain a crucial challenge for seawater desalination. Comparative analysis of 16S rRNA gene amplicon sequencing data revealed differences and commonalities of biofilm communities associated with unit operations in the two largest seawater desalination facilities in the U.S., the Claude "Bud" Lewis Carlsbad Desalination Plant and the Tampa Bay Seater Desalination facility. At both plants, feedwater collected at a single time point was a poor indicator of the RO membrane communities, which showed far greater taxa diversity. The analysis of prefilter cartridges from the Carlsbad plant revealed similarly high taxon diversity as the RO module biofilms, with relevant differences. Algal sequences were enriched on the prefilter cartridges as were sequences representing Bdellovibrionota, which are predatory bacteria. Sequences representing opportunistic Gammaproteobacteria (i.e., Shewanella, Woesia) were present in significantly higher relative abundance on the RO membranes than in the prefilter cartridges, suggesting growth of certain taxa in the RO modules. Untargeted metabolomics distinguished intra- and inter-desalination plant biofilm samples, highlighting the potential value of this tool for biofilm monitoring. These findings underscore the value of omics tools for effective microbial monitoring, to understand biofouling dynamics within RO desalination plants, and to provide insight for the development of ecologically-informed biofilm control measures.

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