Exploring and validating key factors limiting cyanobacteria-based CO2 bioconversion: Case study to maximize myo-inositol biosynthesis

生物转化 蓝藻 肌醇 合成生物学 生物化学 生物合成 光合作用 化学 光合反应器 生化工程 计算生物学 生物 基因 生物技术 生物燃料 细菌 工程类 受体 发酵 遗传学
作者
Tao Sun,Zhixiang Li,Shubin Li,Lei Chen,Weiwen Zhang
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:452: 139158-139158 被引量:20
标识
DOI:10.1016/j.cej.2022.139158
摘要

• The highest myo- inositol production from CO 2 was achieved in cyanobacteria. • Balancing the cofactor pools benefit the myo- inositol production. • Artificial sRNAs realizing efficient and simultaneous control of multiple genes. • myo- inositol based biosensor enabled automatic block of competitive pathways. Cyanobacteria have been considered as an ideal photosynthetic chassis for CO 2 recycle and bioconversion, which could make a significant contribution to carbon neutrality. However, several inherited issues associated with current cyanobacterial strains need to be addressed before their biotechnological application, such as slow growth, uneven of carbon distribution, biased production of reducing power and imbalance between growth and biosynthesis. To address the issues, myo -inositol (MI) was selected as an example target and a fast-growing cyanobacterium Synechococcus elongatus UTEX 2973 was utilized as chassis to improve cell growth. Second, several genes involved in MI synthesis were evaluated. Third, the MI biosynthesis was further increased by cofactors enhancement and down regulation of the competing pathways using multiplex artificial small RNAs (PTRNAs). Forth, a MI sensor was developed and optimized to trigger the automatic expression PTRNAs to achieve real-time intelligent regulation, avoiding the growth defect caused by blocking essential genes at early growth stage. Fifth, carbon re-direction was achieved using rhythmical cultivation, resulting in a final production of 262.6 mg/L MI in shaking flask, which represents the highest production from CO 2 in cyanobacteria. Finally, the metabolomic analysis was applied to elucidate the shifted metabolic flux and predicted targets for future optimization. Together of all efforts, we can achieve the CO 2 -based MI biosynthesis to the same order of magnitude as heterogenous microorganisms with suitable scale-up in the future.
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
qiqi完成签到,获得积分10
1秒前
1秒前
华仔应助brmxj采纳,获得10
2秒前
2秒前
2秒前
FashionBoy应助清爽的珍采纳,获得10
2秒前
KHAKI完成签到,获得积分20
3秒前
xiong完成签到,获得积分10
3秒前
4秒前
楚明允完成签到 ,获得积分10
4秒前
CCrain发布了新的文献求助30
4秒前
lushibin完成签到,获得积分10
4秒前
天堂救护车完成签到,获得积分10
4秒前
丘比特应助sanshu采纳,获得10
5秒前
传奇3应助科研小菜鸡采纳,获得10
5秒前
瘦瘦听云发布了新的文献求助10
6秒前
6秒前
科研通AI6.2应助zz采纳,获得10
7秒前
8秒前
没有银发布了新的文献求助10
9秒前
10秒前
Felicity发布了新的文献求助10
10秒前
12秒前
欣慰青烟完成签到 ,获得积分20
12秒前
13秒前
夜星寒月发布了新的文献求助10
13秒前
xa完成签到 ,获得积分10
14秒前
14秒前
洛黎应助hhh采纳,获得10
15秒前
库里发布了新的文献求助10
15秒前
zheng-homes发布了新的文献求助30
16秒前
lym发布了新的文献求助10
17秒前
阿豪完成签到,获得积分10
18秒前
SciGPT应助雁回采纳,获得10
18秒前
天才莫拉尔完成签到,获得积分10
18秒前
思源应助夜星寒月采纳,获得10
19秒前
19秒前
wzh发布了新的文献求助10
20秒前
want_top_journal完成签到,获得积分10
20秒前
研友_VZG7GZ应助知性的白昼采纳,获得10
20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
A Study of the Model by which Principals’ Leadership Behaviour Influences Student Learning Outcomes in Elementary Schools 1000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 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 7710548
求助须知:如何正确求助?哪些是违规求助? 9267256
关于积分的说明 20064213
捐赠科研通 7286746
什么是DOI,文献DOI怎么找? 3296952
关于科研通互助平台的介绍 2451488
邀请新用户注册赠送积分活动 2304019