Establishing an Artificial Pathway for the Biosynthesis of Octopamine and Synephrine

生物合成 章鱼胺(神经递质) 化学 计算生物学 生物 生物化学 基因 受体 血清素
作者
Feng Jiao,Runyuan Jin,Shasha Cheng,Hui Li,Xin Wang,Kequan Chen
出处
期刊:ACS Synthetic Biology [American Chemical Society]
卷期号:13 (6): 1762-1772 被引量:3
标识
DOI:10.1021/acssynbio.4c00082
摘要

In this study, we designed an artificial pathway composed of tyramine β-hydroxylase (TBH) and phenylethanolamine N-methyltransferase (PNMT) for the biosynthesis of both octopamine and synephrine. As most TBH and PNMT originate from eukaryotic animals and plants, the heterologous expression and identification of functional TBH and PNMT are critical for establishing the pathway in mode microorganisms like Escherichia coli. Here, three TBHs were evaluated, and only TBH from Drosophila melanogaster was successfully expressed in the soluble form in E. coli. Its expression was promoted by evaluating the effects of different expression strategies. The specific enzyme activity of TBH was optimized up to 229.50 U·g-1, and the first step in the biosynthetic pathway was successfully established and converted tyramine to synthesize 0.10 g/L of octopamine. Furthermore, the second step to produce synephrine from octopamine was developed by screening PNMT, enhancing enzyme activity, and optimizing reaction conditions, with a maximum synephrine production of 2.02 g/L. Finally, based on the optimization of the reaction conditions for each individual reaction, the one-pot cascade reaction for synthesizing synephrine from tyramine was constructed by combining the TBH and PNMT. The synthetic synephrine reached 30.05 mg/L with tyramine as substrate in the two-step enzyme cascade system. With further optimization and amplification, the titers of octopamine and synephrine were increased to 0.45 and 0.20 g/L, respectively, with tyramine as substrate. This work was the first achievement of the biosynthesis of octopamine and synephrine to date.
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
刚刚
青平完成签到 ,获得积分10
刚刚
小薛完成签到,获得积分10
1秒前
1秒前
shavour发布了新的文献求助10
1秒前
1秒前
wwwwppp完成签到,获得积分10
2秒前
义气MI猴桃完成签到,获得积分10
2秒前
等待葵阴发布了新的文献求助10
2秒前
5秒前
大魔术师完成签到,获得积分10
6秒前
mannich发布了新的文献求助10
6秒前
成就亦寒发布了新的文献求助10
7秒前
7秒前
尊敬秋双完成签到 ,获得积分10
7秒前
科研通AI6.2应助余光采纳,获得10
8秒前
儒雅山兰完成签到,获得积分10
8秒前
8秒前
8秒前
9秒前
9秒前
jiajiajai完成签到,获得积分10
9秒前
10秒前
红尘意三分完成签到,获得积分10
10秒前
10秒前
科研小白发布了新的文献求助10
11秒前
田様应助祖尔风采纳,获得10
11秒前
sinFlee发布了新的文献求助10
12秒前
勤奋兔子完成签到,获得积分10
12秒前
SciGPT应助Una采纳,获得10
12秒前
UHPC发布了新的文献求助10
12秒前
梦蝴蝶完成签到,获得积分10
13秒前
徐神发布了新的文献求助10
14秒前
一二发布了新的文献求助10
15秒前
陈奕宏发布了新的文献求助10
15秒前
xyzemm完成签到,获得积分10
15秒前
SciGPT应助风趣的绿茶采纳,获得10
15秒前
时嗷发布了新的文献求助10
15秒前
大模型应助zzz采纳,获得10
16秒前
怕黑剑身发布了新的文献求助10
16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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Physiologic specialization in Peronospora manshurica 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7777088
求助须知:如何正确求助?哪些是违规求助? 9318254
关于积分的说明 20363169
捐赠科研通 7364154
什么是DOI,文献DOI怎么找? 3318840
关于科研通互助平台的介绍 2466494
邀请新用户注册赠送积分活动 2334061