摘要
文章从经驯化的耐盐活性污泥中分离筛选出优势耐盐菌,并研究其生长所需的环境条件。根据生长曲线和单因素试验结果,选定优势耐盐菌,经生理生化和16S rRNA基因序列分析对菌株进行鉴定并构建系统发育树,采用响应面法优化生长条件。经分离筛选共得到4株耐盐菌,其中NY1菌株在不同盐度下的延滞期最短约2 h,生长量和耐受性良好,且在盐度0~7%,温度20~35℃,pH 5~10的条件下生长未受到明显的抑制作用,从而确定NY1为优势耐盐菌,对其鉴定结果进行分析,该菌株属于变种棒杆菌(Corynebacterium variabile strain),NY1菌株经优化后的最佳生长条件为:盐度2.7%,温度37.1℃,pH 7.1。结果表明,变种棒杆菌NY1可以作为一株优势耐盐菌,用于高盐有机废水的处理。
The dominant salt-tolerant bacteria were isolated from acclimated salt-tolerant activated sludge,and the environmental conditions for the growth of the strain were studied.Based on the growth curve and single-factor test results,the dominant salt-tolerant bacteria were selected.Then physiological and biochemical analysis and 16 S rRNA gene sequence analysis were employed to identify the strains and a phylogenetic tree was constructed.Response surface methodology was used to optimize growth conditions.As a result,4 strains of salt-tolerant bacteria were isolated and screened,of which NY1 strain had the shortest lag phase of about 2 h under different salinity,the growth amount and tolerance were good.In addition,the strain NY1 was not significantly inhibited under the suitable conditions of salinity 0~7%,temperature 20~35℃,pH 5~10,respectively.Therefore,the bacterial strain NY1 was selected as the dominant salt-tolerant bacteria,which could be regarded as Corynebacterium variabile strain under the analysis of the identification results.The optimum environmental conditions for the growth of strain NY1 were salinity 2.7%,37.1℃,pH 7.1.The results revealed that Corynebacterium variabile strain NY1 can be used as a dominant salt-tolerant strain for the treatment of high-salt organic wastewater.
作者
冯曌卓
李海红
王玥
马嘉晗
FENG Zhaozhuo;LI Haihong;WANG Yue;MA Jiahan(School of Environmental and Chemical Engineering,Xi’an Polytechnic University,Xi’an 710048,China)
出处
《环境科学与技术》
CAS
CSCD
北大核心
2021年第7期1-8,共8页
Environmental Science & Technology
基金
陕西省科技厅社会发展领域项目(2020SF-435)
陕西省提升公众科学素质计划项目(2020PSL021)
陕西省“三秦学者”基金资助项目
关键词
耐盐菌
生长特性
系统发育分析
响应面优化
salt tolerant bacteria
growth characteristics
phylogenetic analysis
response surface optimization
