Protoplasting of Aspergillus niger using Trichoderma harzianum culture medium after growth on cell walls of the target fungus

Protoplast yield from Aspergillus niger can be low when using commercial lytic enzymes from Trichoderma harzianum. This study shows that the culture medium of T. harzianum after growth on A. niger cell walls is much more effective in protoplasting than commercial lysing enzymes.

Authors

Institutions

Publication Details

Journal
Journal of Microbiological Methods
Published
2025-09-09
DOI
https://doi.org/10.1016/j.mimet.2025.107252
Primary Topic
Biofuel production and bioconversion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Protoplasting of Aspergillus niger using Trichoderma harzianum culture medium after growth on cell walls of the target fungus

Juan P. Moran Torres, Luis G. Lugones, Han A. B. Wösten
1 links
Journal of Microbiological Methods
Biofuel production and bioconversion
article

Protoplasting of Aspergillus niger using Trichoderma harzianum culture medium after growth on cell walls of the target fungus

Juan P. Moran Torres, Luis G. Lugones, Han A. B. Wösten
article en

Abstract

Protoplast yield from Aspergillus niger can be low when using commercial lytic enzymes from Trichoderma harzianum. This study shows that the culture medium of T. harzianum after growth on A. niger cell walls is much more effective in protoplasting than commercial lysing enzymes.

Journal of Microbiological MethodsVol. 238
Utrecht University (NL)
Openalex Percentile: Top 77%
Biofuel production and bioconversion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.