CAJ | 학술논문

为分离出耐低温纤维素酶高产真菌菌株，并进行菌株的产酶条件优化，获得最大的酶活力。通过刚果红染色法初筛以及3，5－二硝基水杨酸（DNS）酶活测定法复筛，分别从长白山地区的牛粪和土壤中各分离出1株耐低温高效纤维素降解真菌，并对其进行形态学鉴定、分子生物学鉴定以及产酶条件研究。结果显示经初筛和复筛得到2株耐低温纤维素降解菌 FF2－2和 F －3I，其 FPA 酶活分别为（11.23±0.39）和（5.59±0.36）U ／mL。通过形态学和 ITS rRNA 分子生物学鉴定，菌株 FF2－2被鉴定为短梗霉属的出芽短梗霉 Aureobasidium pullu-lans，菌株 F －3I 为曲霉属的花斑曲霉 Aspergillus versicolor；菌株 FF2－2和 F －3I 产酶的最适碳源分别是 w ＝0.5％的麸皮、w ＝0.5％的淀粉；最适氮源分别为 w ＝1％牛肉膏和硫酸铵混合物、w ＝1％牛肉膏；最适初始 pH分别为7.0和6.0；最适发酵温度均是23℃；最适发酵时间分别是3 d 和5 d。优化后菌株 FF2－2和 F －3I 的FPA 酶活力分别提高了2.6倍和5.5倍。
위분리출내저온섬유소매고산진균균주，병진행균주적산매조건우화，획득최대적매활력。통과강과홍염색법초사이급3，5－이초기수양산（DNS）매활측정법복사，분별종장백산지구적우분화토양중각분리출1주내저온고효섬유소강해진균，병대기진행형태학감정、분자생물학감정이급산매조건연구。결과현시경초사화복사득도2주내저온섬유소강해균 FF2－2화 F －3I，기 FPA 매활분별위（11.23±0.39）화（5.59±0.36）U ／mL。통과형태학화 ITS rRNA 분자생물학감정，균주 FF2－2피감정위단경매속적출아단경매 Aureobasidium pullu-lans，균주 F －3I 위곡매속적화반곡매 Aspergillus versicolor；균주 FF2－2화 F －3I 산매적최괄탄원분별시 w ＝0.5％적부피、w ＝0.5％적정분；최괄담원분별위 w ＝1％우육고화류산안혼합물、w ＝1％우육고；최괄초시 pH분별위7.0화6.0；최괄발효온도균시23℃；최괄발효시간분별시3 d 화5 d。우화후균주 FF2－2화 F －3I 적FPA 매활력분별제고료2.6배화5.5배。
In order to screen the efficient cold-adapted cellulase-decomposing strains and optimize condi-tions for maximum production of enzyme activity,in this study,we isolated the cold-adapted cellulose-de-composing strains with congo red method and flask fermentation from cattle manure and the soil of moun-tain.The strains were identified by morphological observation and molecular biology identification,and their fermentation condition were also optimized.The result showed that their FPA were (11.23 ±0.39) U /mL,(5.59 ±0.36)U /mL,and the strain FF2-2 and F-3I were respectively identified as Aureobasidi-um pullulans and Aspergillus versicolor.The optimum carbon and nitrogen source of two strains were 0.5% wheat bran,0.5 % starch,and 1 % beef extract and ammonium sulfate mixture,1 % beef extract, respectively.The optimum pH were 7.0 and 6.0,respectively.The optimum fermentation temperature for both strains was 23 ℃,and the optimum fermentation time was 3 d,5 d respectively.The FPAs of strain FF2-2 and F-3I increased 2.6 and 5.6 times respectively after optimization.