Engineering Corynebacterium glutamicum for methanol-dependent growth and glutamate production

甲醇 甲基营养素 代谢工程 木糖 生物生产 谷氨酸棒杆菌 生物转化 化学 甲醇脱氢酶 生物化学 有机化学 发酵 基因
作者
Philibert Tuyishime,Yu Wang,Liwen Fan,Qiongqiong Zhang,Qinggang Li,Ping Zheng,Jibin Sun,Yanhe Ma
出处
期刊:Metabolic Engineering [Elsevier BV]
卷期号:49: 220-231 被引量:102
标识
DOI:10.1016/j.ymben.2018.07.011
摘要

Methanol is a promising feedstock for bioproduction of fuels and chemicals, thus massive efforts have been devoted to engineering non-native methylotrophic platform microorganisms to utilize methanol. Herein, we rationally designed and experimentally engineered the industrial workhorse Corynebacterium glutamicum to serve as a methanol-dependent synthetic methylotroph. The cell growth of the methanol-dependent strain relies on co-utilization of methanol and xylose, and most notably methanol is an indispensable carbon source. Due to the methanol-dependent characteristic, adaptive laboratory evolution was successfully applied to improving methanol utilization. The evolved mutant showed a 20-fold increase in cell growth on methanol-xylose minimal medium and utilized methanol and xylose with a high mole ratio of 3.83:1. 13C-labeling experiments demonstrated that the carbon derived from methanol was assimilated into intracellular building blocks, high-energy carriers, cofactors, and biomass (up to 63% 13C-labeling). By inhibiting cell wall biosynthesis, methanol-dependent glutamate production was also achieved, demonstrating the potential application in bioconversion of methanol into useful chemicals. Genetic mutations detected in the evolved strains indicate the importance of intracellular NAD+/NADH ratio, substrate uptake, and methanol tolerance on methanol utilization. This study reports significant improvement in the area of developing fully synthetic methylotrophs.

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
科研通AI6.1应助ll采纳,获得10
刚刚
零知识完成签到 ,获得积分10
刚刚
烟花应助张利双采纳,获得10
刚刚
YHNLN发布了新的文献求助10
刚刚
ZQY发布了新的文献求助20
1秒前
1秒前
科研扫地僧完成签到,获得积分10
1秒前
Owen应助njimko采纳,获得10
2秒前
钱学森发布了新的文献求助10
2秒前
2秒前
Colo完成签到,获得积分10
3秒前
heaven完成签到,获得积分10
4秒前
科研通AI2S应助元气马采纳,获得10
5秒前
Hello应助tang12采纳,获得10
5秒前
lan完成签到 ,获得积分10
5秒前
小二郎应助ma化疼没木采纳,获得10
6秒前
机智的早晨完成签到,获得积分10
6秒前
Jasper应助Vaxer采纳,获得10
6秒前
丘比特应助Vaxer采纳,获得10
6秒前
6秒前
大个应助Vaxer采纳,获得10
6秒前
赘婿应助Vaxer采纳,获得10
7秒前
赘婿应助Vaxer采纳,获得10
7秒前
英姑应助Vaxer采纳,获得10
7秒前
7秒前
FashionBoy应助Vaxer采纳,获得10
7秒前
在水一方应助Vaxer采纳,获得10
7秒前
天天快乐应助Vaxer采纳,获得10
7秒前
顾矜应助Vaxer采纳,获得10
7秒前
heaven发布了新的文献求助10
7秒前
7秒前
万能图书馆应助Even采纳,获得10
8秒前
南楼小阁主完成签到,获得积分10
8秒前
9秒前
Qin应助小抄写员采纳,获得10
9秒前
我就是我完成签到,获得积分0
9秒前
nono发布了新的文献求助50
10秒前
imi完成签到,获得积分10
10秒前
Anivia完成签到,获得积分20
11秒前
11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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6363443
求助须知:如何正确求助?哪些是违规求助? 8177381
关于积分的说明 17232600
捐赠科研通 5418590
什么是DOI,文献DOI怎么找? 2867088
邀请新用户注册赠送积分活动 1844316
关于科研通互助平台的介绍 1691850