Nonmodel microbes with unique advantages are emerging as industrial platforms, driven by advances in genetic engineering and omics technologies. Notable examples include the versatile soil bacterium Pseudomonas putida KT2440, the halophilic Halomonas bluephagenesis TD01, and the ethanologenic Zymomonas mobilis ZM4. While all three primarily use the Entner-Doudoroff pathway for glucose metabolism, they differ in various metabolic pathways and product synthesis. This review summarizes and compares their central carbon metabolism, advancements in genome engineering tools, and progress in scaling industrial applications from lab scale, to pilot scale, to full-scale commercial production. Understanding their similarities and differences informs future research on optimizing industrial applications and may guide the development of new microbial hosts.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.copbio.2024.103255 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Two Steps Li Ion Storage Mechanism in Ruddlesden-Popper LiLaTiO.
Adv Sci (Weinh)
January 2025
Emerging Materials R&D Division, Korea Institute of Ceramic Engineering & Technology, Jinju, Gyeongnam, 52851, Republic of Korea.
Innovative anode materials are essential for achieving high-energy-density lithium-ion batteries (LIBs) with longer lifetimes. Thus far, only a few studies have explored the use of layered perovskite structures as LIB anode materials. In this study, the study demonstrates the performance and charge/discharge mechanism of the previously undefined Ruddlesden-Popper Li₂La₂Ti₃O₁₀ (RPLLTO) as an anode material for LIBs.
View Article and Find Full Text PDFTechniques and Emerging Trends in Flavor and Taste Development in Meat.
Food Sci Anim Resour
January 2025
Institute of Agriculture & Life Science, Gyeongsang National University, Jinju 52828, Korea.
Flavor and taste are critical factors influencing consumer attraction for meat, shaping preferences and commercial demand. This review examines conventional and novel approaches to flavor and taste creation in the meat business, highlighting ways that improve sensory profiles and meet consumer demands. Conventional methods, such as aging and marination, are analyzed in conjunction with new technologies, including enzymatic treatment, fermentation, genetic treatments to alter texture and enhance umami.
View Article and Find Full Text PDFImmunohistochemical Analysis of the p53 Protein in Colorectal Cancer: A Clinicopathological Study.
Cureus
December 2024
Medicine, Army Medical College, Rawalpindi, PAK.
The role of p53 expression in colorectal cancer (CRC) was investigated in this immunohistochemical analysis of 110 CRC patients. The study aimed to explore the relationship between p53 expression and clinicopathological features, such as tumor grade, size, lymph node involvement, and molecular subtypes. The mean age of patients was 52.
View Article and Find Full Text PDFCrucial role of craftsmanship spirit in fostering innovative behavior among skilled talents in the manufacturing sector.
Front Psychol
January 2025
College of Business, Beijing Wuzi University, Beijing, China.
Introduction: Innovation remains pivotal for establishing and sustaining a competitive edge within the manufacturing industry. Skilled talents play a vital role in driving innovation and entrepreneurship in this sector. Their creative prowess significantly determines the success of a nation's innovation-centric development strategy.
View Article and Find Full Text PDFBibliometric analysis of research on the application of deep learning to ophthalmology.
Quant Imaging Med Surg
January 2025
Department of Ophthalmology, the Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Background: Recently, deep learning has become a popular area of research, and has revolutionized the diagnosis and prediction of ocular diseases, especially fundus diseases. This study aimed to conduct a bibliometric analysis of deep learning in the field of ophthalmology to describe international research trends and examine the current research directions.
Methods: This cross-sectional bibliometric analysis examined the development of research on deep learning in the field of ophthalmology and its sub-topics from 2015 to 2024.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!