猪场污水处理系统不同功能区域的细菌群落结构及动态变化
Bacterial Community Structure and Dynamic Changes in Different Functional Areas of a Piggery Wastewater Treatment System.
作者信息
Shi Lin, Liu Naiyuan, Liu Gang, Fang Jun
机构信息
Hunan Provincial Engineering Research Center of Applied Microbial Resources Development for Livestock and Poultry, College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410125, China.
出版信息
Microorganisms. 2021 Oct 11;9(10):2134. doi: 10.3390/microorganisms9102134.
Chemicals of emerging concern (CEC) in pig farm breeding wastewater, such as antibiotics, will soon pose a serious threat to public health. It is therefore essential to consider improving the treatment efficiency of piggery wastewater in terms of microorganisms. In order to optimize the overall piggery wastewater treatment system from the perspective of the bacterial community structure and its response to environmental factors, five samples were randomly taken from each area of a piggery's wastewater treatment system using a random sampling method. The bacterial communities' composition and their correlation with wastewater quality were then analyzed using Illumina MiSeq high-throughput sequencing. The results showed that the bacterial community composition of each treatment unit was similar. However, differences in abundance were significant, and the bacterial community structure gradually changed with the process. showed more adaptability to an anaerobic environment than , and the abundance of in anaerobic zones was low. The abundance of (39.02%) and (20.6%) in the inlet was significantly higher than it was in the aerobic zone and the anoxic zone ( < 0.05). is a key functional microbial group in a wastewater treatment system, and it is a dominant microbial group in activated sludge. Redundancy analysis (RDA) showed that chemical oxygen demand (COD) had the greatest impact on bacterial community structure. Total phosphorus (TP), total nitrogen (TN), PH and COD contents were significantly negatively correlated with , and , and significantly positively correlated with and . These results offer basic data and theoretical support for optimizing livestock wastewater treatment systems using bacterial community structures.
猪场养殖废水中新出现的关注化学物质(CEC),如抗生素,很快将对公众健康构成严重威胁。因此,从微生物角度考虑提高猪场废水的处理效率至关重要。为了从细菌群落结构及其对环境因素的响应角度优化整个猪场废水处理系统,采用随机抽样方法从猪场废水处理系统的每个区域随机采集了五个样本。然后使用Illumina MiSeq高通量测序分析细菌群落组成及其与废水水质的相关性。结果表明,各处理单元的细菌群落组成相似。然而,丰度差异显著,细菌群落结构随处理过程逐渐变化。[具体细菌名称1]比[具体细菌名称2]对厌氧环境表现出更强的适应性,且厌氧区中[具体细菌名称2]的丰度较低。进水口处[具体细菌名称3](39.02%)和[具体细菌名称4](20.6%)的丰度显著高于好氧区和缺氧区(P<0.05)。[具体细菌名称5]是废水处理系统中的关键功能微生物群,也是活性污泥中的优势微生物群。冗余分析(RDA)表明,化学需氧量(COD)对细菌群落结构的影响最大。总磷(TP)、总氮(TN)、pH值和COD含量与[具体细菌名称6]、[具体细菌名称7]和[具体细菌名称8]显著负相关,与[具体细菌名称9]和[具体细菌名称10]显著正相关。这些结果为利用细菌群落结构优化畜禽废水处理系统提供了基础数据和理论支持。