玉米秸秆纤维素降解菌系的筛选及培养基碳氮源优化
Screening of Corn Straw Cellulose Degradation Strains and Optimization of Medium Carbon and Nitrogen Source
张书敏 1徐凤花 1张蕴琦 1吴优 1代欢2
作者信息
- 1. 东北农业大学资源与环境学院,黑龙江哈尔滨150010
- 2. 华中师范大学海南附属中学,海南海口570100
- 折叠
摘要
[目的]为加速玉米秸秆的降解,减轻对环境的压力,筛选玉米秸秆纤维素降解菌系,并使其大量扩繁,为玉米秸秆纤维素降解提供菌种资源.[方法]将富集培养的18组菌系以玉米秸秆为限制性因素,在30℃摇床驯化至18代酶活稳定,筛选出4组酶活较高的菌系,对优良菌系进行培养基碳氮源单因素试验,利用响应面法对其进行产酶培养基碳氮源优化.[结果]18代时,菌系3、6、12、16的羧甲基纤维素酶(CMC)酶活力分别为56.35、50.44、49.99、82.40 U/mL,菌系16的响应面优化培养基碳源、氮源最佳比例为秸秆12.21g/L、麸皮14.53 g/L、豆粕12.97 g/L时,酶活力最大为229.68U/mL,各因素对CMC酶活力的影响作用从大到小依次为豆粕、秸秆、麸皮,且秸秆与麸皮交互项对CMC酶活力的影响最为显著.[结论]筛选出的菌系16能加速玉米秸秆的降解,在优化的产酶培养基中酶活力较高.
Abstract
[Objective] To accelerate the degradation of corn straw,to reduce the pressure on the environment,to screen the corn straw cellulose degradation strains,to provide the strain resources for corn straw cellulose degradation.[Method] The 18 groups of strains cultured in the laboratory were used as;the restrictive factors of corn straw.They were domesticated to 18 generation at 30 ℃until the CMCase was reach stable.Four groups with relatively high CMCase activity were screened.Single factor test on medium carbon and nitrogen source was carried out for fine strains.Response surface method was used to optimize the carbon and nitrogen source.[Result] At 18 generation,the CMCase of strains 3,6,12 and 16 were 56.35,50.44,49.99 and 82.4 U/mL,respectively.The response surface optimization of strains 16 confirmed carbon and nitrogen optimum ratio of medium were 12.21 g/L straw,14.53 g/L bran,12.97 g/L soybean meal,and the maximum of CMCase was 229.678 U/mL.Factors influencing the CMCase activity was in the order of soybean meal,straw,bran.And bran and straw interaction had the most significant impact on the CMCase.[Conclusion] The strains 16 screened can accelerate the degradation of corn straw,and enhance the CMCase activity in optimized culture medium.
关键词
纤维素/菌系/酶活/培养基/响应面Key words
Cellulose/Strains/CMCase activity/Culture medium/Response surface引用本文复制引用
基金项目
“十二五”国家科技支撑计划项目(2012BAD14B06)
哈尔滨市科技成果转化项目(2014DBD3BN307)
出版年
2016
国家科技期刊平台
NSTL
维普
万方数据