Screening and ARTP mutagenesis-based breeding of high-cellulase-producing strains

While lignocellulose is an abundant renewable resource, the discovery of microorganisms capable of degrading lignocellulose is important for its full utilization. In this study, 26 soil samples were collected from Jigongshan National Nature Reserve, Xinyang, China. The Congo red staining method was used to isolate strains capable of degrading lignocellulose from the soil samples. A strain W-6-1, isolated from the soil samples was able to effectively degrade lignocellulose, with the filter paper activity (FPA) in the fermentation broth reaching 3.34 ± 0.32 U/mL. Integrating morphological traits, 16S rRNA phylogeny and physiological-biochemical assays, the isolate was identified as Bacillus sp. W-6-1. Three rounds of atmospheric and room-temperature plasma (ARTP) mutagenesis were employed to further enhance the lignocellulose-degrading ability of this strain. The best mutant (strain M3-35), which was selected from the surviving colonies, achieved an FPA of 6.11 ± 0.27 U/mL, representing an 83% increase over the wild-type strain W-6-1. Moreover, after multiple successive transfers, the FPA of strain M3-35 remained stable. The mutant M3-35 generated in this work provides a promising laboratory-derived candidate for exploring lignocellulose bioconversion.

Authors

Institutions

Publication Details

Journal
Brazilian Journal of Microbiology
Published
2026-09-14
DOI
https://doi.org/10.1007/s42770-026-02086-5
Primary Topic
Biofuel production and bioconversion
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Screening and ARTP mutagenesis-based breeding of high-cellulase-producing strains

Wei Chen, Bingbing Liu, Yongpeng Jia, Laiyou Wang et al.
Brazilian Journal of Microbiology
Biofuel production and bioconversion
article

Screening and ARTP mutagenesis-based breeding of high-cellulase-producing strains

Wei Chen, Bingbing Liu, Yongpeng Jia, Laiyou Wang, Shuang Cheng, Jintao Fang, Shuxian Guo, Liqing Guo
article en

Abstract

While lignocellulose is an abundant renewable resource, the discovery of microorganisms capable of degrading lignocellulose is important for its full utilization. In this study, 26 soil samples were collected from Jigongshan National Nature Reserve, Xinyang, China. The Congo red staining method was used to isolate strains capable of degrading lignocellulose from the soil samples. A strain W-6-1, isolated from the soil samples was able to effectively degrade lignocellulose, with the filter paper activity (FPA) in the fermentation broth reaching 3.34 ± 0.32 U/mL. Integrating morphological traits, 16S rRNA phylogeny and physiological-biochemical assays, the isolate was identified as Bacillus sp. W-6-1. Three rounds of atmospheric and room-temperature plasma (ARTP) mutagenesis were employed to further enhance the lignocellulose-degrading ability of this strain. The best mutant (strain M3-35), which was selected from the surviving colonies, achieved an FPA of 6.11 ± 0.27 U/mL, representing an 83% increase over the wild-type strain W-6-1. Moreover, after multiple successive transfers, the FPA of strain M3-35 remained stable. The mutant M3-35 generated in this work provides a promising laboratory-derived candidate for exploring lignocellulose bioconversion.

Brazilian Journal of MicrobiologyVol. 57(1)
Nanyang Institute of Technology (CN), Tiandi Science & Technology (China) (CN), Nanyang Medical College (CN), Institute of Medicinal Plant Development (CN), Anyang Hospital of Traditional Chinese Medicine (CN)
Natural Science Foundation of Henan Province, Key Scientific Research Project of Colleges and Universities in Henan Province
Responsible consumption and production
Openalex Percentile: Top 21%
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.