Back

Norwegian Kveik brewing yeasts are adapted to higher temperatures and produce fewer off-flavours under heat stress than commercial Saccharomyces cerevisiae American Ale yeast

Kits, D.; Garshol, L. M.

2021-06-15 microbiology
10.1101/2021.06.15.448505 bioRxiv
Show abstract

Norwegian kveik are a recently described family of domesticated Saccharomyces cerevisiae brewing yeasts used by farmhouse brewers in western Norway for generations to produce traditional Norwegian farmhouse ale. Kveik ale yeasts have been domesticated by farmhouse brewers through serial repitching of the yeast in warm wort (>30{degrees}C) punctuated by long periods of dry storage. Kveik yeasts are alcohol tolerant, flocculant, capable of utilizing maltose/maltotriose, phenolic off flavour negative, and exhibit elevated thermotolerance when compared to other modern brewers yeasts belonging to the Beer 1 clade. However, the optimal fermentation and growth temperatures (Topt) for kveik ale yeasts and the influence of fermentation temperature of the production of flavour-active metabolites like fusel alcohols and sulfur compounds (H2S, SO2) are not known. Here we show that kveik ale yeasts have an elevated optimal fermentation temperature (Topt) when compared to commercial American Ale yeast (SafAle US-05) and that they produce fewer off-flavours at high temperatures (>30{degrees}C) when compared to commercial American Ale yeasts. The tested kveik yeasts show significantly higher maximum fermentation rates than American Ale yeast not only at elevated temperatures (>30{degrees}C), but also at typical ale fermentation temperatures (20{degrees}C-25{degrees}C). Finally, we demonstrate that kveik ale yeasts are heterogeneous in their Topt and that they attenuate standard wort robustly above their Topt unlike our control American Ale yeast which showed very poor apparent attenuation in our standard wort at temperatures >> Topt. Our results provide further support that kveik yeasts may possess favourable fermentation kinetics and sensory properties compared to American Ale yeasts. The observations here provide a roadmap for brewers to fine tune their commercial fermentations using kveik ale yeasts for optimal performance and/or flavour impact.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Yeast
15 papers in training set
Top 0.1%
29.3%
2
Applied Microbiology and Biotechnology
26 papers in training set
Top 0.1%
7.6%
3
PLOS ONE
4510 papers in training set
Top 26%
6.7%
4
Food Research International
11 papers in training set
Top 0.1%
4.6%
5
Applied and Environmental Microbiology
301 papers in training set
Top 0.6%
4.2%
50% of probability mass above
6
Microbial Cell Factories
22 papers in training set
Top 0.1%
3.9%
7
International Journal of Food Microbiology
11 papers in training set
Top 0.1%
3.9%
8
Scientific Reports
3102 papers in training set
Top 33%
3.8%
9
Microbiology
57 papers in training set
Top 0.3%
3.0%
10
Biotechnology and Bioengineering
49 papers in training set
Top 0.5%
1.6%
11
Journal of Agricultural and Food Chemistry
14 papers in training set
Top 0.7%
1.4%
12
Frontiers in Microbiology
375 papers in training set
Top 6%
1.4%
13
Environmental Microbiology
119 papers in training set
Top 2%
1.3%
14
mSphere
281 papers in training set
Top 5%
1.2%
15
Frontiers in Plant Science
240 papers in training set
Top 4%
1.0%
16
Microbiology Spectrum
435 papers in training set
Top 4%
0.9%
17
Journal of Microbiological Methods
11 papers in training set
Top 0.3%
0.9%
18
G3
33 papers in training set
Top 0.4%
0.8%
19
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 3%
0.8%
20
Bioresource Technology
11 papers in training set
Top 0.4%
0.8%
21
Biotechnology for Biofuels
11 papers in training set
Top 0.2%
0.8%
22
Frontiers in Fungal Biology
10 papers in training set
Top 0.1%
0.8%
23
Molecular Genetics and Genomics
11 papers in training set
Top 0.5%
0.7%
24
ACS Synthetic Biology
256 papers in training set
Top 4%
0.5%
25
mBio
750 papers in training set
Top 13%
0.5%
26
International Journal of Molecular Sciences
453 papers in training set
Top 18%
0.5%
27
Computational and Structural Biotechnology Journal
216 papers in training set
Top 11%
0.5%