The Cell Factory Aspergillus Enters the Big Data Era: Opportunities and Challenges for Optimising Product Formation

文件夹 曲霉 产品(数学) 生物技术 生物 生化工程 工程类 业务 微生物学 数学 几何学 财务
作者
Vera Meyer,Markus Fiedler,Benjamin Nitsche,Rudibert King
出处
期刊:Advances in Biochemical Engineering / Biotechnology 卷期号:: 91-132 被引量:36
标识
DOI:10.1007/10_2014_297
摘要

Living with limits. Getting more from less. Producing commodities and high-value products from renewable resources including waste. What is the driving force and quintessence of bioeconomy outlines the lifestyle and product portfolio of Aspergillus, a saprophytic genus, to which some of the top-performing microbial cell factories belong: Aspergillus niger, Aspergillus oryzae and Aspergillus terreus. What makes them so interesting for exploitation in biotechnology and how can they help us to address key challenges of the twenty-first century? How can these strains become trimmed for better growth on second-generation feedstocks and how can we enlarge their product portfolio by genetic and metabolic engineering to get more from less? On the other hand, what makes it so challenging to deduce biological meaning from the wealth of Aspergillus -omics data? And which hurdles hinder us to model and engineer industrial strains for higher productivity and better rheological performance under industrial cultivation conditions? In this review, we will address these issues by highlighting most recent findings from the Aspergillus research with a focus on fungal growth, physiology, morphology and product formation. Indeed, the last years brought us many surprising insights into model and industrial strains. They clearly told us that similar is not the same: there are different ways to make a hypha, there are more protein secretion routes than anticipated and there are different molecular and physical mechanisms which control polar growth and the development of hyphal networks. We will discuss new conceptual frameworks derived from these insights and the future scientific advances necessary to create value from Aspergillus Big Data.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
桐桐应助芙卡洛斯采纳,获得10
1秒前
糟糕得就是想见到你关注了科研通微信公众号
2秒前
yaoyaoyao完成签到 ,获得积分10
4秒前
周少完成签到,获得积分10
4秒前
luyang发布了新的文献求助10
4秒前
小二郎应助Liang采纳,获得10
8秒前
iwhsgfes完成签到,获得积分10
8秒前
鲸落发布了新的文献求助30
9秒前
10秒前
10秒前
10秒前
搜集达人应助lynh0508采纳,获得10
10秒前
拼搏的似狮完成签到,获得积分10
10秒前
李健的小迷弟应助dudu采纳,获得10
11秒前
天天快乐应助牛诗悦采纳,获得10
11秒前
yuki发布了新的文献求助10
12秒前
FashionBoy应助coolkid采纳,获得10
13秒前
负责的千易关注了科研通微信公众号
13秒前
14秒前
14秒前
dudu完成签到 ,获得积分10
14秒前
14秒前
科目三应助LIN采纳,获得10
15秒前
fan发布了新的文献求助10
15秒前
15秒前
15秒前
luyang完成签到,获得积分10
17秒前
芙卡洛斯发布了新的文献求助10
17秒前
6rkuttsmdt发布了新的文献求助10
18秒前
19秒前
活泼又晴发布了新的文献求助20
19秒前
panpan完成签到,获得积分10
20秒前
20秒前
23秒前
23秒前
Hello应助十一采纳,获得10
24秒前
dudu发布了新的文献求助10
25秒前
哇卡哇卡完成签到,获得积分10
26秒前
27秒前
JamesPei应助口天口采纳,获得100
28秒前
高分求助中
The Oxford Handbook of Social Cognition (Second Edition, 2024) 1050
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Chen Hansheng: China’s Last Romantic Revolutionary 500
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3141028
求助须知:如何正确求助?哪些是违规求助? 2791955
关于积分的说明 7801220
捐赠科研通 2448217
什么是DOI,文献DOI怎么找? 1302479
科研通“疑难数据库(出版商)”最低求助积分说明 626591
版权声明 601226