CRISPR-Mediated Metabolic Engineering of Escherichia coli W for Selective Biopurification of Stachyose from Soybean Molasses

Soybean molasses, a by-product of alcohol-based soy protein concentrate production, is rich in stachyose and other functional oligosaccharides, but its high sucrose content and other fermentable non-target sugars hinder the efficient purification of stachyose. In this study, the sugar-utilization patterns of four commonly used microbial chassis or production strains, Escherichia coli W, E. coli BL21, Saccharomyces pastorianus Weihenstephan 34/70, and Komagataella phaffii (formerly Pichia pastoris) GS115, were systematically compared to identify a suitable host for selective stachyose enrichment. Among them, E. coli W showed the best performance in rapidly consuming non-target sugars while retaining stachyose. Based on this strain, a CRISPR–Cas9 engineering strategy was applied by deleting the endogenous α-galactosidase gene melA and overexpressing the sucrose permease gene cscB. The resulting strain selectively and nearly completely removed sucrose and other non-target sugars from soybean molasses, increasing the proportion of stachyose from <30% to >90% of total soluble solids. Further optimization of nitrogen source level, inoculum size, and initial °Brix improved fermentation performance. These results demonstrate an effective biological pre-purification strategy for selective stachyose enrichment from soybean molasses.

Authors

Institutions

Publication Details

Journal
Microorganisms
Published
2026-05-01
DOI
https://doi.org/10.3390/microorganisms14051029
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

CRISPR-Mediated Metabolic Engineering of Escherichia coli W for Selective Biopurification of Stachyose from Soybean Molasses

H E Wang, J Li, Guoyu Liu, Yan Zou et al.
Microorganisms
Biofuel production and bioconversion
article

CRISPR-Mediated Metabolic Engineering of Escherichia coli W for Selective Biopurification of Stachyose from Soybean Molasses

H E Wang, J Li, Guoyu Liu, Yan Zou, Yafang Li, Peng Yuan, Jingmei Huang, Shufan Yang, Haizhi Li, Shenglin Duan, Guankai Hao, Xueying Zeng, Huaping Pan, Shiwei Liu, Yifei Zhu, Jia Liu
article en

Abstract

Soybean molasses, a by-product of alcohol-based soy protein concentrate production, is rich in stachyose and other functional oligosaccharides, but its high sucrose content and other fermentable non-target sugars hinder the efficient purification of stachyose. In this study, the sugar-utilization patterns of four commonly used microbial chassis or production strains, Escherichia coli W, E. coli BL21, Saccharomyces pastorianus Weihenstephan 34/70, and Komagataella phaffii (formerly Pichia pastoris) GS115, were systematically compared to identify a suitable host for selective stachyose enrichment. Among them, E. coli W showed the best performance in rapidly consuming non-target sugars while retaining stachyose. Based on this strain, a CRISPR–Cas9 engineering strategy was applied by deleting the endogenous α-galactosidase gene melA and overexpressing the sucrose permease gene cscB. The resulting strain selectively and nearly completely removed sucrose and other non-target sugars from soybean molasses, increasing the proportion of stachyose from <30% to >90% of total soluble solids. Further optimization of nitrogen source level, inoculum size, and initial °Brix improved fermentation performance. These results demonstrate an effective biological pre-purification strategy for selective stachyose enrichment from soybean molasses.

MicroorganismsVol. 14(5)
Jiangxi University of Traditional Chinese Medicine (CN), China National Research Institute of Food and Fermentation (CN), Northwest A&F University (CN)
Natural Science Foundation of Jiangxi Province, Beijing Science and Technology Planning Project
Openalex Percentile: Top 11%
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.