In vivoselection for formate dehydrogenases with high efficiency and specificity towards NADP+

格式化 甲酸脱氢酶 辅因子 NAD+激酶 生物化学 立体化学 定向进化 化学 生物 突变体 基因 催化作用
作者
Liliana Calzadiaz Ramirez,Carla Calvó‐Tusell,Gabriele Stoffel,Steffen N. Lindner,Sílvia Osuna,Tobias J. Erb,Marc Garcia‐Borràs,Arren Bar‐Even,Carlos G. Acevedo‐Rocha
出处
期刊: [Cold Spring Harbor Laboratory]
被引量:1
标识
DOI:10.1101/2020.04.02.022350
摘要

Abstract Efficient regeneration of cofactors is vital for the establishment of continuous biocatalytic processes. Formate is an ideal electron donor for cofactor regeneration due to its general availability, low reduction potential, and benign byproduct (CO 2 ). However, formate dehydrogenases (FDHs) are usual specific to NAD + , such that NADPH regeneration with formate is challenging. Previous studies reported naturally occurring FDHs or engineered FDHs that accept NADP + , but these enzymes show low kinetic efficiencies and specificities. Here, we harness the power of natural selection to engineer FDH variants to simultaneously optimize three properties: kinetic efficiency with NADP + , specificity towards NADP + , and affinity towards formate. By simultaneously mutating multiple residues of FDH from Pseudomonas sp. 101, which exhibits no initial activity towards NADP + , we generate a library of >10 6 variants. We introduce this library into an E. coli strain that cannot produce NADPH. By selecting for growth with formate as sole NADPH source, we isolate several enzyme variants that support efficient NADPH regeneration. We find that the kinetically superior enzyme variant, harboring five mutations, has 5-fold higher efficiency and 13-fold higher specificity than the best enzyme previously engineered, while retaining high affinity towards formate. By using molecular dynamics simulations, we reveal the contribution of each mutation to the superior kinetics of this variant. We further determine how non-additive epistatic effects improve multiple parameters simultaneously. Our work demonstrates the capacity of in vivo selection to identify superior enzyme variants carrying multiple mutations which would be almost impossible to find using conventional screening methods.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
伊yan发布了新的文献求助10
1秒前
2秒前
accept发布了新的文献求助10
2秒前
shuang发布了新的文献求助10
2秒前
摩天轮应助cen钱采纳,获得20
4秒前
wanci应助叶子采纳,获得10
4秒前
思源应助贾方硕采纳,获得10
5秒前
6秒前
田様应助XLU采纳,获得10
7秒前
小肥羊发布了新的文献求助10
7秒前
等于几都行完成签到,获得积分10
7秒前
8秒前
于子超完成签到,获得积分10
10秒前
能干筝完成签到,获得积分10
11秒前
芝士完成签到,获得积分10
11秒前
12秒前
14秒前
蓝天发布了新的文献求助10
16秒前
专注的沧海完成签到,获得积分10
16秒前
嘉心糖应助美好斓采纳,获得30
16秒前
大脸猫完成签到 ,获得积分10
17秒前
17秒前
晨曦hm完成签到 ,获得积分10
17秒前
不想睡觉发布了新的文献求助10
17秒前
披着羊皮的狼应助姜小猪采纳,获得10
18秒前
水水发布了新的文献求助10
19秒前
Nexus应助满满阳光采纳,获得30
19秒前
Lucas应助半岛荼靡采纳,获得10
19秒前
19秒前
22秒前
22秒前
CipherSage应助SqianHou1采纳,获得10
22秒前
JamesPei应助岂识浊醪妙理采纳,获得10
23秒前
欢欢姐姐发布了新的文献求助10
23秒前
SXYYXS发布了新的文献求助10
23秒前
24秒前
25秒前
hzymed发布了新的文献求助10
26秒前
晨曦hm关注了科研通微信公众号
28秒前
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Radical Reactions 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7367259
求助须知:如何正确求助?哪些是违规求助? 8975338
关于积分的说明 19081531
捐赠科研通 7011017
什么是DOI,文献DOI怎么找? 3224340
关于科研通互助平台的介绍 2387902
邀请新用户注册赠送积分活动 2205058