Evidence map›Paper›PMID 40374246›Full record

ArticleAnalytica chimica acta2025

Rapid filamentous fungi gene knockout identification through high-throughput droplet microfluidics.

Yuwen Li, Jing Dai, Huan Zhang, Han Zhang, Adrian Guzman, Song-I Han, Won Bo Shim, Arum Han

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yuwen LiDepartment of Electrical and Computer Engineering, Texas A&M University, TX, USA.
Jing DaiDepartment of Electrical and Computer Engineering, Texas A&M University, TX, USA.
Huan ZhangDepartment of Plant Pathology and Microbiology, Texas A&M, University, TX, USA.
Han ZhangDepartment of Electrical and Computer Engineering, Texas A&M University, TX, USA.
Adrian GuzmanDepartment of Electrical and Computer Engineering, Texas A&M University, TX, USA.
Song-I HanDepartment of Electrical and Computer Engineering, Texas A&M University, TX, USA.
Won Bo ShimDepartment of Plant Pathology and Microbiology, Texas A&M, University, TX, USA.
Arum HanDepartment of Electrical and Computer Engineering, Texas A&M University, TX, USA; Department of Biomedical Engineering, Texas A&M University, TX, USA; Department of Chemical Engineering, Texas A&M University, TX, USA. Electronic address: arum.han@ece.tamu.edu.

Funding

Development of a High-Throughput Microfluidics-Enabled Functional Assay for Rapidly Identifying Neutralizing AntibodiesR01AI141607 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI DE FIGUEIREDO, PAUL, HAN, ARUM · 2019 to 2023
$3.4M
GUARD: A global unbiased antimicrobial discovery platformR01AI168685 · NIAID · TEXAS ENGINEERING EXPERIMENT STATION · PI ARUL JAYARAMAN · 2023 to 2026
$3.0M
Accelerating discovery of neutralizing paratopes with Functional Antibody Screening TechnologyR21AI139738 · NIAID · TEXAS A&M UNIVERSITY · PI HAN, ARUM · 2020 to 2021
$415k
NIAID NIH HHS R01 AI141607NIAID NIH HHS R01 AI168685NIAID NIH HHS R21 AI139738
6 · The paper itself

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

FusariumGene Knockout TechniquesHigh-Throughput Screening AssaysMicrofluidic Analytical TechniquesMicrofluidicsDroplet microfluidicsFilamentous fungi knockout screeningHigh-throughput screening microfluidics

Identifiers

PMID40374246
PMCPMC12790921

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Registered trials

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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.