A metagenomic ‘dark matter’ enzyme catalyses oxidative cellulose conversion

纤维素 基因组 化学 氧化磷酸化 生物化学 环境化学 基因
作者
Clelton A. Santos,M.A.B. Morais,F Mandelli,E.A. Lima,Renan Y. Miyamoto,Paula M. R. Higasi,Evandro Ares de Araújo,Maria Paula Paixão,Joaquim Martins,Maria Lorenza Leal Motta,Rodrigo Silva Araujo Streit,Luana Galvão Morão,Cláudio Benício Cardoso-Silva,Lúcia D. Wolf,Cesar R. F. Terrasan,Nathalia Rodrigues Bulka,José Diogo,Felipe J. Fuzita,Felippe Mariano Colombari,C.R. Santos
出处
期刊:Nature [Nature Portfolio]
卷期号:639 (8056): 1076-1083 被引量:66
标识
DOI:10.1038/s41586-024-08553-z
摘要

The breakdown of cellulose is one of the most important reactions in nature1,2 and is central to biomass conversion to fuels and chemicals3. However, the microfibrillar organization of cellulose and its complex interactions with other components of the plant cell wall poses a major challenge for enzymatic conversion4. Here, by mining the metagenomic ‘dark matter’ (unclassified DNA with unknown function) of a microbial community specialized in lignocellulose degradation, we discovered a metalloenzyme that oxidatively cleaves cellulose. This metalloenzyme acts on cellulose through an exo-type mechanism with C1 regioselectivity, resulting exclusively in cellobionic acid as a product. The crystal structure reveals a catalytic copper buried in a compact jelly-roll scaffold that features a flattened cellulose binding site. This metalloenzyme exhibits a homodimeric configuration that enables in situ hydrogen peroxide generation by one subunit while the other is productively interacting with cellulose. The secretome of an engineered strain of the fungus Trichoderma reesei expressing this metalloenzyme boosted the glucose release from pretreated lignocellulosic biomass under industrially relevant conditions, demonstrating its biotechnological potential. This discovery modifies the current understanding of bacterial redox enzymatic systems devoted to overcoming biomass recalcitrance5–7. Furthermore, it enables the conversion of agro-industrial residues into value-added bioproducts, thereby contributing to the transition to a sustainable and bio-based economy. A metalloenzyme capable of oxidatively cleaving cellulose, found in a microbial community specialized in lignocellulose degradation, could enable sustainable biofuel production.
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
桐桐应助饼饼采纳,获得10
1秒前
deng完成签到,获得积分10
2秒前
2秒前
神经蛙发布了新的文献求助10
3秒前
3秒前
彭于晏应助现实的无血采纳,获得10
3秒前
上官若男应助345采纳,获得10
4秒前
yy发布了新的文献求助10
5秒前
风吹麦浪应助肥牛哥采纳,获得10
5秒前
小马甲应助hdmjsls采纳,获得10
5秒前
PhDL1发布了新的文献求助10
5秒前
很好发布了新的文献求助10
6秒前
一路向北完成签到,获得积分10
6秒前
刘鑫瑞完成签到,获得积分10
6秒前
7秒前
xuan发布了新的文献求助10
7秒前
8秒前
8秒前
SciGPT应助delll采纳,获得10
8秒前
fubaizaib发布了新的文献求助30
8秒前
所所应助Yao采纳,获得10
9秒前
zhuangbaobao完成签到,获得积分10
9秒前
Lucas应助ljymedical采纳,获得10
10秒前
枫林晚完成签到,获得积分10
11秒前
11秒前
11秒前
1241433发布了新的文献求助10
11秒前
邹邹完成签到,获得积分20
12秒前
Naranja发布了新的文献求助10
12秒前
12秒前
烟花应助795836采纳,获得10
13秒前
文静元霜发布了新的文献求助10
13秒前
fubaizaib完成签到,获得积分10
13秒前
现实的无血完成签到,获得积分10
14秒前
mkkk完成签到,获得积分10
14秒前
xuan发布了新的文献求助10
14秒前
14秒前
壮观人达发布了新的文献求助10
15秒前
yy关闭了yy文献求助
16秒前
mkkk发布了新的文献求助10
16秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 7583093
求助须知:如何正确求助?哪些是违规求助? 9161776
关于积分的说明 19604859
捐赠科研通 7165133
什么是DOI,文献DOI怎么找? 3266207
关于科研通互助平台的介绍 2431164
邀请新用户注册赠送积分活动 2257518