ArticleAnalytica chimica acta2025
Rapid filamentous fungi gene knockout identification through high-throughput droplet microfluidics.
Article in Analytica chimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- High-throughput droplet screening of filamentous fungi on solid substrates.RSC chemical biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Fungi are a diverse group of eukaryotic organisms, with over 1.5 million species inhabiting ecosystems worldwide. Many fungi grow as filaments (hyphae) and play critical ecological roles, both beneficial and harmful. Understanding their functions often requires generating knockout mutants and performing comparative analyses with wild-type strains. However, traditional methods for screening knockout mutants are labor-intensive, time-consuming, and limit the rapid identification of successful transformants. Here, we present a high-throughput droplet microfluidics platform capable of screening and sorting fungal transformants at single-cell resolution, significantly improving efficiency compared to conventional methods. The workflow involves encapsulating individual fungal transformants in pico-liter-volume water-in-oil emulsion droplets, culturing them in the presence of antibiotics, and identifying and sorting droplets containing transformants that exhibit hyphal growth. Transformants that grow in the presence of antibiotics are flagged as potential knockouts and then sorted out for confirmation through sequencing. This approach offers several advantages, including a 3-fold reduction in time for Fusarium graminearum protoplast growth until they can be distinguished from those exhibiting no growth, a screening throughput of up to 28,800 transformant-containing droplets per hour, and single-spore phenotyping to minimize post-processing requirements. Using this system, we successfully screened 24,000 F. graminearum transformants containing droplets, identified five potential transformants that exhibit growth on agar plates, of which two were confirmed via sequencing as true knockouts. These results demonstrate the utility of this droplet microfluidics-based platform as a powerful tool for accelerating fungal functional genomics and advancing our understanding of the ecological roles of fungi.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.