基因冲浪:在元基因组学中进行向性酶挖掘的高效和多功能工具
Tong Xu1, Danyang Huang1, Tingting Huang1
1School of Life Science and Technology, Xinjiang University, 830017, Urumqi, China.
Synthetic and systems biotechnology
|September 2, 2025
概括
基因冲浪是一个生物信息平台,可以有效地从元基因组数据中识别微生物酶. 它成功验证了纤维素降解,聚乙烯降解和内核酶,显示出高活性率.
科学领域:
- 微生物学
- 生物信息学
- 酵素学
背景情况:
- 酶对生态系统代谢至关重要,但未培养的微生物限制了酶的发现.
- 转基因组学提供了对微生物遗传资源的访问,但在精确的酶识别方面面临挑战.
- 现有的方法在样本类型多样化和酶发现的功能范围有限方面存在困难.
研究的目的:
- 开发一个强大的生物信息平台,以从元基因组数据中有效和准确地识别微生物酶.
- 克服与样本可变性和功能范围有关的酶发现的局限性.
- 验证该平台在识别和功能性表征具有特定催化作用的酶方面的有效性.
主要方法:
- 开发基因冲浪,一个基于Snakemake的生物信息工作流程.
- 集成用于数据质量控制 (Fastp),基因组组装 (MEGAHIT),组装评估 (QUAST,MetaQUAST),功能注释 (Prokka) 和序列检索 (MMseqs2) 的模块.
- 通过实验测定确定酶候选物的功能验证.
主要成果:
- 确定了1311.316个潜在的纤维化酶序列,其中有127个功能验证 (84.25%的活性).
- 发现了705个候选聚乙烯降解酶,其中31个被表达和验证了 (81.5%的活性).
- 检索了585个潜在的内核酶序列,其中7个测试中的4个显示活性 (57.1%的成功率).
结论:
- 基因冲浪提供了一个可扩展,可复制和高效的解决方案,用于从元基因组数据中识别微生物酶.
- 该平台成功识别和验证了具有多种功能的酶,包括纤维细胞分解,聚乙烯降解和内核酶活动.
- 基因冲浪显著推进了用于生物技术的未培养微生物酶资源的探索.
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