Seasonal succession of bacterial communities, metabolic potential and ecological functions in soy sauce wastewater treatment system
Seasonal succession of bacterial communities, metabolic potential and ecological functions in soy sauce wastewater treatment system
复制标题
酱油废水处理系统细菌群落季节演替、代谢潜力及生态功能
DOI：
10.1016/j.ibiod.2020.105083
复制
发表时间：
2020-10-01
影响因子：
4.8
通讯作者：
Luo, Lixin
中科院分区：
文献类型：
--
作者：
Liang, Hebin;Luo, Xiaotong;Luo, Lixin
Deciphering how bacterial community respond to seasonal variation is beneficial to determine their ecological significances and maintain the performance of wastewater treatment system. Although seasonal succession patterns of bacterial community have been widely investigated, paucity information is known about whether their metabolism and functions have seasonal variations resembling bacterial communities. Here, a combination of 16S rDNA and rRNA amplicon sequencing and qPCR approaches were performed to unravel the response of bacterial community as well as their metabolic potential and functions to seasonal variation. rDNA-derived community exhibited significant seasonal distribution and remarkable divergency with rRNA-derived community, indicating that the structure of the active community was unable to reflect the total community. In addition, environmental factors, such as temperature, total ammonia nitrogen, pH, COD and nitrate concentration, showed different effects on total and active communities. Moreover, quantification of bacterial 16S rDNA and rRNA suggested that bacterial consortia in activated sludge was likely to maintain metabolic potential. Functional traits of them were dominated by chemoheterotrophy, fermentation and nitrogen cycling processes, thus ensuring the stability of this system. Although there were no significant seasonal differences in both DNA and RNA-derived functional compositions, remarkable distinctions were observed between them, indicating that only partial bacteria in activated sludge kept metabolic potential. Collectively, this work provided guidelines for detecting how metabolic potential and functions of bacterial populations in wastewater treatment system respond to environmental factors.
