挖掘细菌 (元基因组) 对于在有氧,半性条件下活跃的酶
Rodrigo Campos-Silva1, Fahimeh Rahimi2, Jaya Joshi3
1Horticultural Sciences Department, University of Florida, Gainesville, FL, 32611, USA.
Analytical biochemistry
|January 6, 2026
概括
计算方法从基因组数据中识别有氧酶. 分析碳 (ZC) 和氧代谢基因的平均氧化状态有助于找到适合生物催化和代谢工程的酶.
科学领域:
- 酶生化学 酶生化学
- 基因组学就是基因组学.
- 转基因组学是指转基因组学.
背景情况:
- 酶的发现依赖于大量的基因组和转基因组数据.
- 鉴定适应氧气丰富,温和温度环境的酶至关重要,但由于生活方式信息有限,具有挑战性.
- 细菌硫化物依赖THI4 thiazole合成酶作为模型酶.
研究的目的:
- 开发用于从DNA序列中识别有氧酶的计算管道.
- 评估碳 (ZC) 的平均氧化状态和氧代谢基因在预测酶功能的有用性.
- 通过实验验证已识别的酶的有氧活动.
主要方法:
- 开发了仅使用DNA序列输入的计算管道.
- 计算了2,300个THI4酶的碳 (ZC) 的平均氧化状态.
- 在相应的基因组中分析了氧代谢基因 (细胞染色体氧化酶) 的存在.
- 在有氧条件下,在THI4Δ酵母菌株中测试了选择的THI4酶的功能补充.
主要成果:
- THI4酶的ZC值从-0.107 (氧化) 到-0.302 (减少) 之间.
- 较高的ZC值与细胞染色体c/o和细胞染色体bd氧化酶的基因存在相关.
- 在8个选择的THI4基因中,有3个在有氧条件下活跃于补充酵母菌株,这些基因来自具有特定氧化酶特征的元基因组.
结论:
- 将ZC分析与细胞氧化酶基因配置文件相结合,是一种可行的策略,用于识别适用于有氧,温和温度条件的细菌正体酶.
- 这种方法有助于用于研究,生物催化和代谢工程的酶发现.
- 这项研究证明了 in silico 方法在复杂的环境数据中预测和发现功能性酶的潜力.
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