Large-scale pathway reconstruction and colorimetric screening accelerate cellular metabolism engineering

Recent advances in engineering microorganisms for the production of natural food colorants

Food colorants are frequently added to processed foods since color is an important tool in the marketing of food products, influencing consumer perceptions, preferences, and purchasing behavior. While synthetic dyes currently dominate the food colorant market, consumer concern regarding their safety and sustainability is driving a demand for their replacement with naturally derived alternatives. However, natural colorants are costly compared to their synthetic counterparts as the pigment content in the native sources is usually very low and extraction can be challenging. Recent advances in the engineering of microbial metabolism have sparked interest in the development of cell factories capable of producing natural colorants from renewable resources. This review summarizes major developments within metabolic engineering for the production of nature-identical food colorants by fermentation. Additionally, it highlights common applications, formulations, and physicochemical characteristics of prevalent pigment classes. Lastly, it outlines a workflow for accelerating the optimization of cell factories for the production or derivatization of nature-identical food colorants.

"Cell Disk" DNA Storage System Capable of Random Reading and Rewriting

DNA has emerged as an appealing material for information storage due to its great storage density and durability. Random reading and rewriting are essential tasks for practical large-scale data storage. However, they are currently difficult to implement simultaneously in a single DNA-based storage system, strongly limiting their practicability. Here, a "Cell Disk" storage system is presented, achieving high-density in vivo DNA data storage that enables both random reading and rewriting. In this system, each yeast cell is used as a chamber to store information, similar to a "disk block" but with the ability to self-replicate. Specifically, each genome of yeast cell has a customized CRISPR/Cas9-based "lock-and-key" module inserted, which allows selective retrieval, erasure, or rewriting of the targeted cell "block" from a pool of cells ("disk"). Additionally, a codec algorithm with lossless compression ability is developed to improve the information density of each cell "block". As a proof of concept, target-specific reading and rewriting of the compressed data from a mimic cell "disk" comprising up to 105 "blocks" are demonstrated and achieve high specificity and reliability. The "Cell Disk" system described here concurrently supports random reading and rewriting, and it should have great scalability for practical data storage use.