Back

High molecular-weight polysaccharide contamination from yeast extract in semi-defined bacteriological media: Effects on exopolysaccharide production and purity

Tsjokajev, A.; Boehlich, G. J.; Horn, S. J.; Vaaje-Kolstad, G.; Westereng, B.

2026-02-28 microbiology
10.64898/2026.02.27.708493 bioRxiv
Show abstract

Exopolysaccharides (EPS) produced by lactic acid bacteria (LAB) and other microorganisms have attracted considerable interest due to their structural diversity and physicochemical properties, which makes them valuable across various industrial applications. To achieve high cell densities and maximize EPS yields, microorganisms are typically cultivated in nutrient-rich media containing yeast extract. However, yeast extract may contain high molecular weight polysaccharides that are not metabolized by the bacteria. This can lead to an overestimation of EPS yields and contamination of the bacterial EPS, potentially resulting in misinterpretation of their structure and biological activity. In this study, we demonstrate the presence of high molecular weight -mannan and {beta}-glucan in yeast extract in EPS isolates using both ultrafiltration and the commonly used trichloroacetic acid/ethanol (TCA/EtOH) precipitation method. These polysaccharides were characterized by size-exclusion chromatography, high-performance anion-exchange chromatography, and nuclear magnetic resonance spectroscopy. Their abundances were estimated to range from 10 to 50 mg/L in MRS medium, depending on the supplier of the yeast extract. The main contaminant identified was yeast -mannan. By cultivating L. rhamnosus GG (ATCC 53103) and L. pentosus KW1 and isolating their respective EPS, we illustrate how these yeast extract contaminants affect the structural interpretation of the EPS and that the contaminants can be completely removed by ultrafiltration of the growth medium prior to bacterial cultivation. In conclusion, we emphasize the necessity of stringent controls in the production and purification of microbial EPS, with particular attention to the chemical purity of medium constituents.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
Applied and Environmental Microbiology
301 papers in training set
Top 0.2%
10.1%
2
Applied Microbiology and Biotechnology
26 papers in training set
Top 0.1%
8.4%
3
Frontiers in Microbiology
375 papers in training set
Top 0.7%
8.4%
4
PLOS ONE
4510 papers in training set
Top 32%
4.8%
5
Microbial Cell Factories
22 papers in training set
Top 0.1%
4.3%
6
Scientific Reports
3102 papers in training set
Top 31%
3.9%
7
Bioresource Technology
11 papers in training set
Top 0.1%
3.1%
8
mSystems
361 papers in training set
Top 3%
3.1%
9
Biotechnology and Bioengineering
49 papers in training set
Top 0.3%
2.7%
10
International Journal of Food Microbiology
11 papers in training set
Top 0.1%
2.6%
50% of probability mass above
11
mSphere
281 papers in training set
Top 2%
2.1%
12
npj Biofilms and Microbiomes
56 papers in training set
Top 0.8%
2.1%
13
Microbiology
57 papers in training set
Top 0.4%
2.1%
14
BMC Microbiology
35 papers in training set
Top 0.4%
2.1%
15
Biotechnology for Biofuels
11 papers in training set
Top 0.1%
1.9%
16
Journal of Microbiological Methods
11 papers in training set
Top 0.2%
1.8%
17
Microbiology Spectrum
435 papers in training set
Top 3%
1.7%
18
mBio
750 papers in training set
Top 9%
1.3%
19
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 4%
1.3%
20
Archives of Microbiology
11 papers in training set
Top 0.2%
1.2%
21
Environmental Microbiology
119 papers in training set
Top 2%
1.2%
22
ACS Omega
90 papers in training set
Top 3%
1.2%
23
Microbial Biotechnology
29 papers in training set
Top 0.7%
0.9%
24
Algal Research
20 papers in training set
Top 0.2%
0.9%
25
International Journal of Molecular Sciences
453 papers in training set
Top 13%
0.9%
26
ISME Communications
103 papers in training set
Top 2%
0.9%
27
Metabolic Engineering Communications
20 papers in training set
Top 0.3%
0.7%
28
Food Research International
11 papers in training set
Top 0.3%
0.7%
29
ACS Synthetic Biology
256 papers in training set
Top 3%
0.7%
30
Microbiology Resource Announcements
22 papers in training set
Top 1.0%
0.7%