Enhancing pH stability of lysine decarboxylase via rational engineering and its application in cadaverine industrial production

尸体 赖氨酸脱羧酶 生物转化 化学 腐胺 赖氨酸 生物化学 发酵 氨基酸
作者
Siyuan Gao,Alei Zhang,Ding Ma,Kun Zhang,Jing Wang,Xin Wang,Kequan Chen
出处
期刊:Biochemical Engineering Journal [Elsevier]
卷期号:186: 108548-108548 被引量:14
标识
DOI:10.1016/j.bej.2022.108548
摘要

Cadaverine, an important C5 platform compound, is the raw material of polyamides. Under a carbon neutral context, cadaverine bio-production using lysine decarboxylase as a catalyst from the sustainable resource L-lysine is more attractive than chemical synthesis from fossil resources because it is environmentally-friendly and highly efficient. However, the alkaline conditions caused by accumulation of cadaverine decreases lysine decarboxylase activity, which limits its industrial applications. Herein, we aimed to improve cadaverine enzymatic production via enhancing stability of lysine decarboxylase from Escherichia coli (EcCadA) under alkaline pH by rational engineering. Mutations of interfacial disulfide bonds between subunits in the EcCadA decamer, M1 (L89C/L442C), M2 (F102C/L547C), and M3 (V12C/D41C) were chosen. M3 exhibited a 6-fold increase in cadaverine production at pH 10.0. Non-reduced SDS-PAGE analysis demonstrated that the proportion of decamers was greatly increased compared to wild-type enzyme. In addition, molecular dynamics simulations showed that the distance between subunits increased with increased pH, especially in region B. Finally, the fed-batch bioconversion of cadaverine from L-lysine in a 5 L fermenter using M3 by whole-cell catalysis led to 418 g/L cadaverine, which is the highest titer produced to date. This study provided a more efficient enzyme to industrially produce cadaverine with reduced acid use.
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
酷波er应助123采纳,获得10
刚刚
李健应助叫我魔王大人采纳,获得10
刚刚
阿晨发布了新的文献求助10
刚刚
东山完成签到,获得积分10
刚刚
SciGPT应助Bordyfan采纳,获得10
1秒前
0529发布了新的文献求助10
1秒前
winwin完成签到 ,获得积分10
1秒前
木鱼应助momo采纳,获得10
2秒前
why发布了新的文献求助10
2秒前
莹莹啊发布了新的文献求助10
2秒前
自信的天蓝完成签到,获得积分10
2秒前
ZL发布了新的文献求助10
3秒前
3秒前
晶晶完成签到,获得积分10
3秒前
4秒前
anniezhang完成签到,获得积分10
4秒前
4秒前
江鸟完成签到,获得积分10
4秒前
彭于晏应助小镇错题家采纳,获得10
5秒前
秀丽的羊青完成签到,获得积分10
5秒前
蓝莓橘子酱应助陈老派采纳,获得10
5秒前
6秒前
wu完成签到,获得积分10
6秒前
机长完成签到 ,获得积分10
6秒前
6秒前
大个应助素人采纳,获得10
6秒前
6秒前
菠菜菜str完成签到,获得积分10
6秒前
嘉琳完成签到 ,获得积分10
6秒前
外向幻露完成签到,获得积分10
7秒前
7秒前
7秒前
费老五完成签到 ,获得积分10
7秒前
芝麻配海带完成签到,获得积分10
8秒前
9秒前
香蕉觅云应助stan采纳,获得10
9秒前
pluto应助逐月追风采纳,获得10
9秒前
生动的若之完成签到 ,获得积分10
9秒前
李爱国应助妙木仙采纳,获得10
9秒前
9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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6016102
求助须知:如何正确求助?哪些是违规求助? 7597347
关于积分的说明 16151341
捐赠科研通 5163956
什么是DOI,文献DOI怎么找? 2764569
邀请新用户注册赠送积分活动 1745368
关于科研通互助平台的介绍 1634919