Qingdao Energy Institute and others develop low-cost and high-efficiency electrocatalyst for hydrogen production
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https://www.nature.com/articles/s41467-025-63929-7
http://english.cas.cn/newsroom/research_news/life/202510/t20251014_1089412.shtml
The group around Jian XU from the CAS Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT) has developed a fully automated “Digital Colony Picker” (DCP). This device identifies and retrieves high-performance microbial clones by simultaneously monitoring their growth and metabolite production—eliminating the need for culture plates, sampling needles, or manual picking.
Designed for the “design-build-test-learn” framework widely adopted in synthetic biology, the DCP streamlines the traditionally slow, labor-intensive “test” phase into a fast, parallel workflow with little hands-on time. It has a microfluidic chip containing 16,000 addressable microchambers that isolate single cells and track their expansion into micro-colonies. An integrated AI engine conducts time-lapse analysis of both brightfield and biosensor signals to quantify growth kinetics and metabolite production in real time. Once target colonies are identified, a laser-induced bubble technique exports them as droplets directly into standard culture plates. This contact-free transfer minimizes cross-contamination and preserves cell viability.
The equipment which was tested for identifying high-yield or lactate-tolerant Zymomonas mobilis mutants is broadly applicable to adaptive evolution studies, functional gene discovery, and phenotype screening across diverse microbial species.
http://english.cas.cn/newsroom/research_news/life/202510/t20251010_1089023.shtml
A research team from the Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT) of the Chinese Academy of Sciences has identified a specific histone modification as the key regulator governing microalgae’s adaptation to low-CO2environments.
The study focused on Nannochloropsis oceanica, tracking its epigenomic dynamics as it transitioned from an environment with 5% CO2 to one with just 0.01% CO2. Using multi-dimensional epigenomic sequencing techniques, the researchers discovered that global DNA methylation in the alga remained stable at 0.13%, effectively ruling out DNA methylation as a major driver of its low-CO2response. By contrast, H3K4me2 methylationwas found to be closely associated with 43.1% of the genes that respond to low-CO2 conditions. These genes include those critical to photosynthesis and ribosome biogenesis, two processes essential for the alga’s survival under carbon-limited stress. Further analysis revealed that H3K4me2 appears to regulate gene transcription by altering chromatin accessibility, a mechanism that aligns with its role as a central regulator of low-CO2 adaptation.
To validate their findings, the team used CRISPR/Cas9 gene-editing technology. They knocked out NO24G02310—a gene that encodes an H3K4 methyltransferase, the enzyme responsible for adding methyl groups to H3K4. The modified algae showed a roughly 22% reduction in growth rate and a 15% decrease in biomass. Additionally, the levels of another histone modification (H3K4me1) dropped, and the genome-wide localization of H3K4me2 shifted—providing direct evidence of H3K4me2’s role in low-CO2 adaptation. Further experiments uncovered that H3K4 modification may act via two pathways: by regulating enzyme networks and by modulating chloroplast transmembrane pH gradients. Both mechanisms work to optimize the alga’s use of available CO2, enhancing its survival under low-carbon conditions.
Nachrichten aus der Chemie (2025) 73, p. 37 – 39 (in English)
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