摘要
以从自然界中产海藻糖的耐热芽孢杆菌为出发菌株进行γ-Co^(60)诱变,定向选育能高效转化麦芽糖生成海藻糖的高产菌株。以自然界中选育的HS-202006211109-117作为母本出发菌株,采用γ-Co^(60)诱变构建突变菌株库,通过自建方法测定产物转化率,从突变菌株库中选育适宜产业化生产的海藻糖高产菌株,再对高产菌株的转化条件进行优化。通过诱变及选育模型的筛选得到1株具有海藻糖生产潜力的突变株F-2119,6 h转化麦芽糖生成海藻糖量14.30 mg/mL,较出发菌株的海藻糖量3.73 mg/mL提高到3.83倍。该菌株遗传稳定性较好,底物浓度和转化温度考察结果显示其具备产业化的潜力。文章建立的海藻糖高产菌株选育模型具备高通量、筛选压力足的优点,能在短时间内在数万突变株中成功选育1株海藻糖产量高、遗传稳定、产业化潜力较好的突变菌株,海藻糖产量较出发菌株有大幅提高,且高于目前文献报道的产量。
A high trehalose-producing strain was obtained byγ-Co^(60) mutagenesis of thermostable bacillus sp.producing trehalose from nature.Using HS-202006211109-117 selected in nature as the mother strain,the mutant strain bank was constructed byγ-Co^(60) mutagenic mutation.The trehalose high-yielding strains suitable for industrial production were selected from the mutant strain bank through the self-constructed trehalose high-yielding strain breeding model.The transformation conditions of high-yield strains were optimized.A mutation strain F-2119 with trehalose production potential was obtained through mutation and breeding model screening,and the trehalose yield of maltose conversion at 6 h was 14.30 mg/mL,which was increased to 3.83 times of the original strain,which was 3.73 mg/mL.The genetic stability of the strain was good,and the results of substrate concentration and transformation temperature showed that the strain had the potential of industrialization.The trehalose high-yield strain breeding model established in this paper had high throughput and sufficient screening pressure,and one mutant strain with high trehalose yield,genetic stability and good industrialization potential was successfully selected from tens of thousands of mutant strains in a short time.The trehalose yield was significantly higher than that of the original strain,and was higher than that reported in the current literature.
作者
周培华
张海韵
刘兰
钟文涛
廖燕芝
袁列江
ZHOU Peihua;ZHANG Haiyun;LIU Lan;ZHONG Wentao;LIAO Yanzhi;YUAN Liejiang(Hunan Provincial Institute of Product and Goods Quality Inspection,Hunan Provincial Key Laboratory of Food Safety Monitoring and Early Warning,Changsha 410017)
出处
《食品工业》
CAS
2024年第2期110-114,共5页
The Food Industry
基金
湖南省自然科学基金-科市联合基金项目编号:2022JJ90034。
