
94% of researchers rate our articles as excellent or good
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.
Find out more
ORIGINAL RESEARCH article
Front. Microbiol. , 11 March 2025
Sec. Food Microbiology
Volume 16 - 2025 | https://doi.org/10.3389/fmicb.2025.1452334
Most commercial beers are made using water, malted barley, and hops as the principal ingredients and Saccharomyces yeast as the transforming microorganism. The yeast is used in a semi-conservative process in which crops are collected from one fermentation, stored, and a proportion recycled into a subsequent fermentation. This process differs from wine, cider, and spirit manufacturing where the yeast culture is only used once. The serial fermentation process is continued approximately 8–12 times after which a new culture of verified purity and identity is introduced. This increases the likelihood that the yeast remains true to type. Many commercial brewers use proprietary strains the origins of which are usually unknown. Advances in genetic analyses provide a means for probing the origins of brewing yeast strains, and in this study, six historical Irish brewing yeasts from five breweries located within Ireland were assessed. Using Illumina sequencing technology, whole-genome sequencing data were generated. Single nucleotide polymorphism analysis of these data established that the historical Irish brewing yeast group falls within the previously described “Britain” subpopulation Beer 1 clade. Further analysis established that the six historical Irish brewing yeasts separate into two subgroupings, which associated with specific regional locations. Furthermore, the assessment of the six historical Irish brewing yeast phenotypic attributes relevant to brewing correlated within the same regional location groupings. Our data provide further evidence of how brewing requirements associated with specific beer styles have influenced yeast strain selection.
Beer is made principally from hops, water, and malted barley (Stewart et al., 2017). Yeast, usually strains of Saccharomyces, is the catalyst which as a result of its growth and metabolism converts the starting material, wort, into beer. For reasons of consistency and finance, yeast is cropped at the end of one fermentation and a proportion is retained and used to initiate the next fermentation (Lawrence et al., 2012; Powell et al., 2004). Care is taken to ensure that the yeast remains contamination-free and fit for purpose (Boulton and Quain, 2008). To ensure that the yeast remains true to type, the yeast culture is replaced typically after 8–12 brews or more frequently when using highly concentrated worts, where the risk of formation and selection of mutants is elevated (Kalayu, 2019). Replacement yeast at a concentration suitable for commercial brewing is produced through a process termed propagation and is derived from a master culture of verified identity and purity (Boulton and Quain, 2008; Moutsoglou and Dearden, 2020; Smart, 2007). Propagating yeast from a stored master culture minimizes the risk of genetic drift, and the phenotype of the yeast remains consistent (Briggs et al., 2004). For many long-established commercial brewers, proprietary yeast strains are used, which often were originally selected historically from wild populations or obtained via other routes, such as sharing between different brewing companies. Commonly, the actual origins remain unknown.
These wild populations of yeast have, through human selection, become domesticated in a process similar to that which occurred with plants and animals (Steensels et al., 2019). The process of domestication is not limited to microbes associated with beer fermentation. Microbes required for the manufacture of yoghurt, soy sauce, sake, and cheese have also been selected to conserve advantageous phenotypes (Steensels et al., 2019). For example, the fungus Aspergillus oryzae used to make soya bean paste, sake, and soy sauce shares a 99.5% similarity in coding regions to the aflatoxin-producing fungus A. flavus. However, the domesticated A. oryzae remains non-aflatoxigenic despite containing the aflatoxin biosynthetic gene cluster (Kusumoto et al., 2000). Consequently, the phenotype of A. oryzae has arisen, at least in part, as the result of the effects of domestication (Machida et al., 2008). Similar conclusions can be made with respect to the transforming microbes associated with wine and cider fermentation, cheese production, and yoghurt manufacturing, as all exhibit phenotypic functionality related to domestication (Campbell-Sills et al., 2015; Hao et al., 2011; Passerini et al., 2010).
Ales and stout beer styles are brewed using strains of the yeast Saccharomyces cerevisiae (Gonçalves et al., 2016). Strains of S. cerevisiae yeast have been used by humans for millennia to produce alcoholic beverages—wine, cider, distilled spirits, and sake—as well as to leaven bread and latterly for bioethanol production (Gallone et al., 2016; Peter et al., 2018). Phylogenetic studies of S. cerevisiae used in manufacturing generally place individual strains within their respective industrial applications (Gallone et al., 2016), with beer yeast grouping together; similarly, yeasts used to make wine, sake, and bioethanol form other distinct groups (Gallone et al., 2016; Gonçalves et al., 2016; Peter et al., 2018). Many of these industrial brewing S. cerevisiae yeasts have domesticated phenotypic qualities, such as reduced environmental fitness, reduced sporulation activity, and increased utilization of the sugar maltotriose, a sugar found in unfermented beer (wort) (Gallone et al., 2016; Peter et al., 2018).
Ireland has a rich and unique brewing history, producing and originating two notable styles: Irish ale and Irish dry stout (Cornell, 2003; Foster, 2014). Strains of S. cerevisiae were used to brew these beers (Kerruish et al., 2024). In this study, a total of six historical Irish brewing yeasts were assessed from five historical Irish breweries. These breweries were Smithwick’s (Kilkenny brewery 1710–2014), Macardle (Macardle Moore brewery 1863–2001), Cherry (New Ross brewery 1828–1956), Perry (1800–1966), and the Great Northern Brewery (1896–1956). Following the closure of the Smithwick’s and Macardle Moore breweries, production of these beers were transferred to the Guinness brewery, St James’s Gate, Dublin. Macardle Moore and Great Northern breweries were both located within the city of Dundalk, whereas the Smithwick’s, Cherry, and Perry breweries were situated further south in the contiguous counties of Laois, Kilkenny, and Wexford.
To understand the relationship between the six historical Irish brewing yeasts and their association with other industrial S. cerevisiae strains, molecular and phenotypic assessments were conducted. The aim was to investigate the origins of the historical Irish brewing yeasts based on the presence of specific single nucleotide polymorphisms (SNPs) and whether, or not, these could be correlated with specific regional locations. These historical Irish brewing yeasts grouped within the previously described Beer 1 clade, with ancestral lineage annotated to the “Britain” subpopulation. Furthermore, the phenotypic assessment, using standard brewing phenotypic quality assurance methods, of the historical Irish brewing yeasts established that there are significant differences in brewing-related phenotypic characters between the different yeasts, but that these differences are decreased when the yeasts are grouped by their respective regional origins. Consequently, yeasts used to brew different beer styles are phenotypically similar, whereas yeasts used to brew specific beer styles are phenotypically more diverse. The data presented in this study highlight the suggestion that brewing requirements influenced yeast selection, emphasizing the role of human domestication on microbes.
A total of six Irish historical brewing yeasts were selected for assessment (Table 1) from five Irish breweries. The yeasts included the current production of Smithwick’s yeast and five yeasts from four other historical Irish breweries that are no longer used to produce beer commercially. Cultures were stored in cryo vials (Fisher) in liquid nitrogen at −196°C using 50% glycerol (Sigma-Aldrich) as a cryopreservative. Before liquid nitrogen storage, all historical yeasts were deposited into the library on wort agar slopes and stored in a refrigerator at 4°C. To ensure the yeasts remained viable and free of contamination, the yeasts were recultured every 6 months (Kerruish et al., 2024). Cultures were recovered and inoculated into 25-ml tubes containing 10 mL of YPD (10 g L−1 yeast extract, 20 g L−1 peptone, 20 g L−1 glucose) (Oxoid) and incubated at 25°C in an orbital shaker (Stuart Scientific) at 120 rpm for 24 h. Serial dilutions of 100 μL of cultures were spread-plated onto Wallerstein Nutrient Agar (Oxoid) and incubated at 25°C for 12 days following the European Brewery Convention Yeast Giant Colony Method 3.3.1.1 (Richards, 1967). At the end of the incubation, three single yeast colonies were selected for DNA extraction based on morphological similarity.
Table 1. Name and description of yeast strains used in this study and selected following a literature review of the Guinness archives.
Three giant colonies of each culture were selected and transferred to microfuge tubes containing 700 μL of molecular-grade water (Fisher). Yeast cells were recovered by centrifugation, and DNA was extracted following the manufacturer’s guidelines using a PureLink Microbiome DNA Purification Kit (Invitrogen). Individual strains were identified using the interdelta polymerase chain reaction (PCR) method (ASBC, 2008; Legras and Karst, 2003), with primers δ2 (5′-GTGGATTTTTATTCCAAC-3′) and δ12 (5′-TCAACAATGGAATCCCAAC-3′), using a BioRad T100 Thermocycler and Invitrogen’s Platinum Hot Start PCR Master Mix. PCR products were analyzed on an Agilent 2100 Bioanalyzer using the Agilent DNA 7500 chip. The resulting bands were analyzed using Minitab 19 Statistical Software (2019) hierarchical clustering function, with dendrograms produced using the Euclidean distance function.
The interdelta sequence results were used to select yeasts for whole-genome sequencing with typical Inter delta sequence banding used as the selection criterion for the Irish brewing yeasts. In total, six historical Irish brewing yeasts were subjected to whole-genome sequencing performed by ELDA biotech (Kildare, Ireland). Yeast samples were subcultured onto Wallerstein Nutrient Agar (Oxoid), and single colonies were picked for DNA extraction using the Thermo Scientific Yeast DNA Extraction Kit (Thermo Scientific). Extracted DNA was analyzed using a Qubit (Thermo Fisher Scientific) to determine dsDNA content. Aliquots of 1 ng of DNA were used as input for library preparation using the Illumina Nextera XT DNA library prep protocol with no deviations. Stock libraries of 1–4 nM were generated, and samples were pooled for sequencing and denatured according to the manufacturer’s instructions for loading on the Illumina MiSeqor NovaSeq sequencer. Samples were sequenced to a minimum depth of 30X coverage using 2 × 250 bp paired reads. All samples were quality checked for low-quality sequence bases and the presence of adapter contamination using Trimgalore (Version 0.6.1). All identified adapters were cleaved from both the forward and reverse sequencing reads, and those with runs of low-quality bases were trimmed using a Phred scale cutoff of 10. All samples were aligned to the reference genome S. cerevisiae S288c (http://downloads.yeastgenome.org/sequence/S288C_reference/genome_releases/S288C_reference_genome_R64-1-1_20110203.tgz) using Burrows-Wheeler Alignment (Version 0.7.17; Li and Durbin, 2009). Alignments were sorted and duplicate reads were identified and marked for exclusion from downstream analysis using Samtools (Version 1.10) (Danecek et al., 2021). Alignment metrics for each sample were collated using Qualimap (Version 2.2.1) (Okonechnikov et al., 2016). All samples were assembled de novo using Spades (Version 3.14). For each sample, all contigs shorter than 500 base pairs in length were discarded. A reference-guided scaffold of each assembled sample genome against the Saccharomyces cerevisiae S288C genome sequence was generated using Ragtag (v. 1.0.2) (Alonge et al., 2019). Artificial padding of “N” characters was placed between the reference scaffolded contigs. All bioinformatic software used in this study is specified in Supplementary Presentation 1.
Sequencing data for 176 S. cerevisiae samples, including 154 retrieved S. cerevisiae samples from NCBI (BioProject PRJNA323691), were assessed. All retrieved samples were quality checked for low-quality sequence bases and the presence of adapter contamination using Trimgalore (Version 0.6.1). All identified adapters were cleaved from both the forward and reverse sequencing reads, and reads with runs of low-quality bases were trimmed using a Phred scale cutoff of 10. All samples were aligned to S. cerevisiae S288c reference genome using BWA mem (version 0.7.17) (Li and Durbin, 2009). Alignments were sorted, and duplicate reads were identified and marked for exclusion from downstream analysis using Picard (Version 2.18.23). Alignment metrics for each sample were collated using Qualimap (Version 2.2.1) (Okonechnikov et al., 2016). The misalignment of reads in original BWA alignments was corrected using Genome Analysis Toolkit (Version 4.1.4-1) (Waterhouse et al., 2018) with the base score recalibration performed on the corrected alignments. Single Nucleotide Polymorphism and Indel discovery and genotyping were performed across all 176 samples simultaneously with GATK used to filter sites based on the following metrics: quality score >30, mapping scores >40, and read position rank sum <8. All individual genotypes with less than 10X coverage were set to uncalled. Annotation and effect prediction for each variant was estimated using SnpEff (Version 4.3) (Cingolani et al., 2012).
Orthologous genes across all assembled genomes were inferred using Orthofinder (Version 2.3.3) (Emms and Kelly, 2019). Sequences from orthologous genes were concatenated and aligned using MULtiple Sequence Comparison by Log-Expectation (Version 3.8.31). A phylogenetic analysis of the concatenated alignment of data from all orthologous genes was performed using the maximum-likelihood approach implemented in RAxML (Version 8.2.4) (Purcell et al., 2007) based on the GTRGAMMA model of sequence evolution and a rapid bootstrap analysis for 1,000 bootstrap replicates. The tree which was rooted using the outgroup species S. paradoxus was visualized and annotated using the ggtree (Yu et al., 2018) package in R.
FastSTRUCTURE (Version 1.0) (Raj et al., 2014) was used to quantify the number of populations and the degree of admixture in the genomes examined in this study. Owing to the high degree of sequence similarity between the Guinness samples, a single representative sample (IDS1) was used in this analysis; consequently, admixture in 161 genomes was assessed. The full set of biallelic segregating sites identified across all samples was filtered based on a minor allele frequency (MAF) <0.05 and SNPs in linkage disequilibrium, using PLINK (v1.09) (Boeva et al., 2012). FastSTRUCTURE (Raj et al., 2014) was run on a filtered set of SNPs, varying the number of ancestral populations (K) between 1 and 10 using the simple prior implemented in fastSTRUCTURE (Raj et al., 2014), with K = 8 found to be optimal.
Analysis of the heterozygous bi-allelic SNPs for each historical Irish brewing yeast established variable copy number across the chromosomes, and subsequently CNV was normalized against an appropriate background copy number for each yeast. In addition, CNV was estimated in 250 base pair non-overlapping windows across the entire ~12 million bases of the S. cerevisiae genome using Control-FREEC (Version 5.7) (Boeva et al., 2012). Plots depicting CNVs for the historical Irish brewing yeasts were generated in R using publicly available code (Fijarczyk et al., 2020).
The sporulation potential of the different historical Irish brewing yeasts was assessed using the ASBC Yeast 7 Sporulation Method (ASBC, 1985). A total of 1,000 cells per sample were examined using a Nikon Eclipse Ci microscope with 100× magnification. Ascospores stained green to blue-green, while vegetative yeast cells stained pink to red. Independent triplicate analyses were performed for each yeast. The incidence of sporulation was expressed as a percentage.
Fermentation ability was assessed using 180-ml mini-fermenters (Fisher) containing 120 mL of 12oP wort. Cultures were recovered from liquid nitrogen and sufficient yeasts for the experiments generated by successive serial aerobic incubations in 10-ml Yeast extract Peptone Dextrose, 90-ml 12oP wort, and 900-ml 12oP wort. A single batch of all-malt-hopped wort was used for all experiments to eliminate batch-to-batch variation. Wort was produced in the Guinness pilot plant and stored at −20°C in 5-L aliquots. Before use, it was thawed and sterilized by autoclaving.
Yeast cells were recovered by centrifugation and washed three times by successive suspension in distilled water and recentrifugation. The viability and yeast cell concentration of each culture was determined using the EBC methods, EBC 3.1.1.1 Hemocytometer (Smart et al., 1999) and EBC 3.2.1.1 Methylene Blue (Buckee and Mundy, 1994). Triplicate fermentations were inoculated with 1 × 107 viable yeast cells per ml into 180-ml mini-fermenters containing 120 mL of air-saturated 12oP wort. Fermentations were incubated at 25°C and stirred continuously using a stirrer plate (mix 15 eco plate Camlab) set at 250 rpm. Mini-fermenters were sealed with a butyl rubber plug secured with an aluminum cap (Fisher) and fitted with a Bunsen valve to allow CO2 to be released. Fermentation progression was measured by periodically monitoring weight loss. The endpoint was established when three successive identical readings were recorded.
Concentrations of selected yeast-derived flavor compounds were measured using a gas chromatographic procedure using a modified version of the EBC Vicinal Diketone method Analytica-EBC Method 9.24.2 (Buckee and Mundy, 1994). End-fermentation samples (30 mL) previously clarified by centrifugation were transferred to McCartney bottles, esters and higher alcohol concentrations determined using a Flame Ionization Detection detector. Peak areas for the metabolites were normalized using appropriate internal standards.
The ability of yeasts to produce 4-vinyl-guaiacol was determined according to Analytica-EBC Method 2.3.9.5 (Analytica-EBC, 2018) phenolic off-flavor (POF) method using gas chromatography–mass spectrometry. Washed yeast samples were inoculated at a concentration of 1 × 106 viable cells.ml−1 into 25-ml tubes containing 10 mL of YPD medium supplemented with 0.1 mL of ferulic acid (hydroxycinnamic acid) solution. Triplicate incubations were performed for each yeast. After incubation at 25°C for 48 h, 5 mL was transferred to an autosampler vial (Fisher) containing 2 μL of the internal standard of 4-vinyl-guaiacol (Sigma-Aldrich). Analyses were performed using an Agilent 6890/7890 GC system fitted with a Zebron ZB-Wax 60.0 m × 250.00 μm × 0.25 μm column. The initial oven temperature was 60°C. After 10 min, this was increased to 220°C at a rate of 10°C min−1 and then held for 2 min. Moreover, 4-vinyl-guaiacol concentration was determined using an Electron Capture Detector detector with a temperature of 150°C and a makeup flow rate of 60 mL min−1 (helium gas). The peak area for 4-vinyl-guaiacol was normalized against the internal standard.
Ethanol concentration was determined using near-infrared spectroscopy with an Anton Paar Alcolyser (anton-paar.com), following the manufacturer’s guidelines.
Samples were analyzed using an Agilent 1260 Infinity II system with a refractive index detector (Infinity II 1260 WR RID) and a Zorbax Carbohydrate Column (4.6 × 250 mm, 5 μm, P/N: 840300-908). The other acquisition conditions were as follows: mobile phase was a 70/30 mix of acetonitrile and water; sample injection volume was 50 μL; flow rate was isocratic and set at 1.5 mL min−1. The column oven was kept at a constant 35°C. Samples were bracketed on either side with freshly made known standards.
Flocculation was assessed using the EBC Gilliland Method EBC 3.5.31 (Gilliland, 1951). The EBC method uses visual inspection of flocculation behavior, categorizing the yeasts using prescribed classifications: Class 1, non-flocculent; Class 2, slightly flocculent; Class 3, moderately flocculent; Class 4, highly flocculent. An addendum to the EBC method was the addition of four control yeasts representing the different classifications.
Statistical analyses were performed using Minitab 19 Statistical Software (2019) and Xlstat 20 Excel Statistical Package (2020). Mini-fermentations were performed using three independent biological replicates and the statistical significance of ethanol production, fermentation metabolites, and POF was determined using one-way ANOVAs.
To understand the phylogeny of the six historical Irish brewing yeasts, a total of three colonies from Perry, Smithwick’s, Great Northern Brewery, Macardle 1965, Macardle 1993, and Cherry were selected. The resultant “fingerprints” (Supplementary Presentation 2) from the PCR analysis of the three colonies were assessed using hierarchical clustering (Euclidean distance) with identical yeast given a 100% similarity score. With the exception of Smithwick’s yeast, which had a similarity score of >98%, all three colonies of the other historical brewing yeasts had a similarity score <95% (Figure 1). The origins of the six historical Irish brewing yeasts were probed by comparing their genomes with those of previously published Irish brewing yeasts: 16 Guinness yeast and 154 previously published S. cerevisiae strains (Gallone et al., 2016; Kerruish et al., 2024). A total of 466,327 filtered variant sites were identified: 434,890 SNPs and 31,427 indels. For the historical Irish brewing yeasts, the number of transition and transversion SNPs, indels and singletons were determined (Table 2). Previous work established that the S. cerevisiae used to produce beer grouped within two lineages: Beer 1 and Beer 2 (Gallone et al., 2016). Our analysis confirmed the previous observations and placed the historical Irish brewing yeasts within the Beer 1 clade (Figure 1). To understand the origins of the historical Irish yeast populations, structure and degree of admixture were determined for the 176 genomes studied here using FastSTRUCTURE (Version 1.0) (Raj et al., 2014). The historical Irish brewing yeasts had a >80% common ancestry with yeast described as being in the “Britain” subpopulation (Gallone et al., 2016). The assessment of the historical Irish brewing yeasts established different phylogeny for the six brewing yeasts. The Perry, Cherry, and Smithwick’s yeasts showed 100% alignment with the “Britain” subpopulation; whereas, the Great Northern, Macardle 1966, and Macardle 1993 yeasts aligned with the “Britain” group but also the US and Belgium/Germany subpopulations. The SNPs of the Macardle 1965 yeasts shared a lineage of 2.91% Belgium/Germany, 89.13% Britain, and 7.96% United States. Macardle 1993 shared a lineage of 3.11% Belgium/Germany, 88.59% Britain, and 8.3% United States. The Great Northern Brewery shared a lineage of 4.91% Belgium/Germany, 87.36% Britain, and 7.74% United States. The phylogenetic tree (Figure 1) establishes that the six historical Irish brewing yeasts fall into two distinct groupings: the first group includes Macardle and Great Northern brewing yeasts, and the second group consists of Smithwick’s, Perry, and Cherry (Figure 2).
Figure 1. Phylogeny and population structure of the historical Irish brewing yeasts and other industrial S. cerevisiae strains. (A) Hierarchical clustering analysis of PCR products, determined using Bioanalyzer 2.0 DNA chips, of the interdelta specific primers δ2/δ12 (Legras and Karst, 2003). PCRs were conducted on typical and atypical historical Irish brewing yeast morphology as observed through Giant Colony Morphology assessment. (B) Historical Irish brewing yeast within the maximum-likelihood phylogenetic tree of S. cerevisiae. Historical Irish brewing yeasts were sequenced using an Illumina MiSeq platform and combined with 170 previously sequenced S. cerevisiae (Kerruish et al., 2024). Branch length reflects the number of substitutions per site, with color denoting the yeast lineage. A maximum-likelihood (ML) phylogenetic tree was reconstructed in RAxML v8.2.4 (Stamatakis, 2014), performing 100 iterations to search for the best tree, using a discrete GTRGAMMA model of rate heterogeneity. Bootstrap branch support was assessed by performing 1,000 pseudo-replicates. Trees were visualized using ggtree (v 3.6.2) (Yu et al., 2018). (C) Principal component analysis of 434,890 SNP sites from the assessed 176 S. cerevisiae strains. Population differences indicated by color; NS, not specified. (D) Population structure of the 434,890 SNPs sites of the S. cerevisiae strains used in this study. Resolved population fractions are represented by the vertical axis; colors denote estimated ancestral membership. Varying the number of ancestral populations (K) between 1 and 10 using the simple prior implemented in fastSTRUCTURE (Raj et al., 2014), K = 8 was found to be optimal.
Table 2. Sporulation percentage; mean sequencing coverage along S. cerevisiae S288c genome, transition, transversion and singleton SNPs, and total indels of the six sequenced historical Irish brewing yeasts.
Figure 2. Location of historical Irish breweries. The Great Northern Brewery and Macardle Moore Brewery were located in the city of Dundalk, Ireland. The Smithwick’s brewery was located in the county of Kilkenny, while Cherry was within the county of Wexford and Perry within the county of Laois.
To determine the copy number variation (CNV) in different Irish brewing yeasts, a full normalized read depth analysis was performed in 250-bp windows across each chromosome. The likely accuracy of the Irish brewing yeast ploidy estimates was confirmed by reassessing the ploidy of previously published yeast samples (Gallone et al., 2016). The 250-bp window assessment of the Irish brewing yeasts (Figure 3) showed the presence of multiple copies of chromosomes and CNVs of individual chromosomes. The Great Northern Brewery, Perry, and Cherry yeasts have chromosomes with more than four copies on chromosomes V, XV, and IX, respectively. Only Smithwick’s and Cherry have chromosomes with less than four copies on chromosomes I, VI, and VI.
Figure 3. Estimated copy number variation in 250 base pair non-overlapping windows across the entire genome of the six historical Irish brewing yeasts. A black dot on a plot represents a window where the estimated copy number is 4. A blue dot represents a region with an estimated loss of copy number (<4), and an orange dot represents a region with an estimated increased copy number (>4).
All of the historical Irish brewing yeasts have multiple copies of their chromosomes and are, therefore, aneuploids. Aneuploidy is common for yeasts that are used in brewing (Boulton and Quain, 2008; Gallone et al., 2016; Morard et al., 2019) and is a consequence of the domestication of yeasts by human activity. Unlike natural isolates, which are likely to be diploid (Peter et al., 2018), brewing yeasts are aneuploid as selection pressures result in polyploidy for chromosomes conferring desirable phenotypic qualities (Voordeckers and Verstrepen, 2015). Diploid yeast strains have superior global cellular fitness than aneuploids (Peter et al., 2018), providing an advantage in changing environmental conditions and possessing a functional sexual phenotype (Morard et al., 2019). The sporulation ability of the Irish historical brewing yeasts (Table 2) confirms the effects of aneuploidy on a functional sexual phenotype, with Cherry, Perry, and Smithwick’s recording 0% sporulation, while Great Northern and Macardle brewing yeasts exhibited very low sporulation ability (<1.1%). This observation is concurrent with previous observations of aneuploidy and sporulation activity (Bilinski and Casey, 1989).
The fermentation properties of the historical Irish brewing yeasts were determined using the mini-fermentation procedure described in the methods section (Figure 4). A one-way ANOVA with Tukey’s post hoc test of ethanol concentration at the end of fermentation determined that ethanol production showed highly significant differences (p = 0.000376). However, when the ethanol concentration analysis was repeated based on 100% “British” SNP lineage (Perry, Cherry, and Smithwick’s) and <90% “British” lineage (Macardle 1960, Macardle 1993, and Great Northern Brewery), the p-values showed no significant difference (p = 0.12 and p = 0.09, respectively).
Figure 4. Phenotypic assessment of the historical Irish brewing yeast percentage weight loss (A), phenotypic qualities represented through a heat map (B), and sugar concentration at the end of fermentation (C). Heat map Z-scores (normalized values) were used to determine flavor and phenotypic values, with the score color-coded according to the scale on the right. Flavor chemicals highlighted with a dotted line (B) are above the perceived flavor threshold. The single nucleotide polymorphism mutations of the POF genes FDC1 and PAD1 (D) of the different historical Irish brewing yeasts. The effects of the SNP mutations result in amino acid substitutions that are nonsynonymous (NS) or synonymous (S). The fermentations were performed using 100 mL of 12oP all malt wort, with an inoculation rate of 1 × 107 ml−1 cells. Samples were incubated at 25°C and stirred at 250 rpm. Observations presented are n = 3 biologically independent experiments.
The progress of brewing fermentations is typically assessed by recording the decrease in wort density (attenuation), as this correlates with sugar utilization and ethanol formation. Measuring loss of weight, in the mini-fermentations described here, is an indirect method, which also relies on a fall in density. Under the conditions employed, all six historical Irish brewing yeasts achieved attenuation within 48 h with the Smithwick’s yeast completing attenuation within 30 h. Brewing yeast strains can assimilate simple wort sugars, which include glucose, fructose, sucrose, maltose, and maltotriose; dextrins are not fermented (Briggs et al., 2004). Analysis of the sugar spectrum at the end of fermentation (Figure 4; Supplementary Table 1) established that all historical Irish brewing yeasts utilized the typical brewing sugars found in wort.
There was no statistical significance between the yeasts for glucose and fructose utilization, as all the brewing yeasts utilized these available sugars (p = 0.17, one-way ANOVA). A one-way ANOVA of sucrose utilization (p = 0.0075) established that there were statistically different usages between all tested yeasts; however, when analyzed based on regional location, differences were observed for the Cherry, Perry, and Smithwick’s (p = 0.014), but not when Cherry and Perry yeasts were compared alone (t-test 0.23). There were no statistical differences in sucrose utilization between Macardle and Great Northern Brewery yeasts (p = 0.125). Maltose was fully utilized by all the yeasts, except for the Perry, Smithwick’s, and Macardle 1965 yeasts; whereas, maltotriose was only utilized fully by the two Macardle yeasts. A one-way ANOVA of maltotriose utilization of Cherry, Perry, and Smithwick’s was not statistically significant (p = 0.056) but was when Cherry, Perry, Smithwick’s, and Great Northern Brewery were compared (p = 0.00078).
Five maltotriose utilization multigene loci: MAL 1, 2, 3, 4, and 6 have been identified in S. cerevisiae (Charron et al., 1989). The MAL locus comprises three genes: a maltose permease (gene 1), maltase (gene 2), and a Trans acting MAL-activator (gene 3) (Charron et al., 1989). Of the five multigene loci, only MAL1 and MAL3 multigenes are present within the reference yeast S. cerevisiae S288c (Gallone et al., 2016). Assessment of MAL1 and MAL3 (Supplementary Table 2) established a homozygous premature stop codon in the MAL11 maltose permease gene for all six historical brewing yeasts. This stop codon mutation, which was found in 145 of the 176 yeasts examined in this study, potentially prevents the loss of gene function.
Assessment of the MAL31 maltose permease gene established that the Perry, Cherry, and Great Northern Brewery yeasts contain no SNPs different from the reference yeast S288c, whereas the Smithwick’s yeasts contain two heterozygous SNPs at positions 803,680 and 803,689–803,693. All six historic brewing yeasts utilized maltose and maltotriose, but only the Macardle yeasts fully utilized maltotriose. Comparison of the Macardle yeasts to S288c established that there are 15 SNPs: 13 heterozygous and 2 homozygous. The homozygous SNPs at positions 802,839 and 802,842 increased the number of DNA bases within the MAL31 open reading frame (ORF). Further experimental investigation is required to determine whether the mutations in MAL31 are responsible for the increased maltotriose utilization observed in the Macardle yeasts or whether other MAL multigene loci are present.
The concentrations of flavor-active esters (three methylbutyl acetate [isoamyl acetate], 2-phenylethyl acetate, and ethyl acetate), amyl alcohols (2-methyl-1-butanol and 3-methyl-1-butanol), and the aldehyde acetaldehyde were measured at the cessation of fermentation (Figure 4). The concentration of 2-phenylethyl acetate was below the flavor threshold (3.8 ppm) for all beers made using the historical Irish brewing yeasts. Perry, Smithwick’s, Great Northern, and Macardle 1965 yeasts all produced Isoamyl acetate above the flavor threshold of 1.1 ppm (Meilgaard et al., 1982). The Macardle 1993 and Cherry yeast generated lower concentrations of three methylbutyl acetate (isoamyl acetate): 0.71 ppm (SD 0.31) and 1.07 ppm (SD 0.11), respectively. All historical Irish brewing yeasts produced ethyl acetate at concentrations below the 33-ppm flavor threshold (Meilgaard et al., 1982), with the exception of Macardle 1965. A one-way ANOVA of flavor esters established that all historical yeasts produced statistically significant amounts of esters: isoamyl acetate (p = 2.77 × 10−5), 2-phenylethyl acetate (p = 7.80 × 10−6), and ethyl acetate (p = 0.00043).
Concentrations of 2-methyl-1-butanol were below the flavor threshold of 65 ppm (Meilgaard et al., 1982), contrary to 3-methyl-1-butanol, which was above the flavor threshold of 70 ppm (Meilgaard et al., 1982), in all historical Irish brewing yeasts except the Macardle 1993 yeast. Acetaldehyde was found to be above the flavor threshold (10 ppm, Meilgaard et al., 1982) for the Macardle 1993 and Great Northern Brewery yeasts only. All other historical Irish brewing yeasts were below the 10-ppm flavor threshold. Unlike other phenotypic attributes examined in this study, the ester and amyl alcohol concentrations did not correlate with the 100% “British” SNP and < 90% “British” lineages (Supplementary Table 1), except 2-phenylethyl acetate and acetaldehyde that had a p-value of 0.182 and 0.788 (one-way ANOVA), respectively, for the 100% “British” SNP lineage.
Propanol and isobutanol are higher alcohols (Fusel alcohols) produced by the yeast via the Ehrlich pathway (Briggs et al., 2004). A one-way ANOVA of propanol production by the historical Irish brewing yeasts (Figure 4) established that propanol production was statistically significantly different between the historical Irish brewing yeasts (p = 0.000029). However, when propanol production was assessed by a regional grouping of 100% “British” SNP lineage and <90% “British” lineage, the p-values were 0.11 and 0.00072, respectively, with propanol production being statistically significant in the <90% British lineage yeasts. This observation is contrary to isobutanol production among the historic Irish brewing yeasts, where a one-way ANOVA established statistically significant differences (p = 6.048 × 10−9) when assessed by the 100% “British” SNP lineage and < 90% “British” lineage (p = 7.36 × 10−5 and p = 1.23 × 10−6).
The Ehrlich pathway produces higher alcohols via a process of transamination, decarboxylation, and reduction (Lilly et al., 2006). Assessment of the CNV of the Ehrlich pathway (Supplementary Table 3) established that all historical Irish brewing yeasts had four copies of the BAT2 gene. Overexpression of the aminotransferase-encoded BAT2 gene has been proven to increase alcohol production (Lilly et al., 2006; Styger et al., 2013). However, this study establishes that the detected differences in higher alcohol production among the historical Irish brewing yeasts are not a consequence of increased CNV of BAT2. Furthermore, the absence of a CNV effect on higher alcohol production is supported by consideration of CNV in the oxidation genes ADH1 for the Great Northern Brewery and Perry yeasts. Both of these have five copies of the ADH1 gene compared to four in the other historical Irish brewing yeasts, yet they do not produce the highest concentration of isobutanol. This was observed in the Smithwick’s yeast (72.18 ppm, SD 3.32). In the case of propanol production, Perry’s yeast produced 36.01 ppm (SD 1.18), the highest concentration of all the historical Irish yeasts assessed in this study. CNV differences within the historical Irish brewing yeasts for genes involved in the reduction stage of the Ehrlich pathway were not assessed in this study, so the potential impact of this feature within the Irish brewing yeast group remains unknown.
Phenolic off-flavor (POF) imparts a medicinal, clove-like flavor in beer (Madigan et al., 1994). This is due to 4-vinyl-guaiacol produced from the precursor ferulic acid via the expression of the genes PAD1 and FDC1 (Mukai et al., 2014) (Figure 4). These genes encode a phenylacrylic acid decarboxylase (PAD1) and a ferulic acid decarboxylase (FDC1), which enable the yeast to decarboxylate the phenylacrylic acid ferulic acid (Mukai et al., 2014). Ferulic acid is present in cereals and is released during the mashing step in wort production (Madigan et al., 1994). For beers brewed in the Hefeweizen style, the presence of 4-vinyl-guaiacol at concentrations higher than the threshold value is desirable, so the mashing process is controlled to favor the adequate formation of ferulic acid (Briggs et al., 2004). For the majority of beers, the presence of detectable concentrations of 4-vinyl-guaiacol is considered a negative flavor attribute; consequently, POF-negative yeasts are often selected (Gallone et al., 2016). Only the Macardle 1993 yeast produced 4-vinyl-guaiacol above the beer flavor threshold (200–400 ppb) (Madigan et al., 1994). The presence of four vinyl-guaiacol of the other historical Irish brewing yeasts—Perry, Cherry, Smithwick’s, Great Northern Brewery, and Macardle 1965 was below the flavor threshold; subsequently, these yeasts would be termed as being POF-negative. Assessment of the PAD1 and FDC1 genes confirms these observations, as all five POF-negative historical Irish brewing yeasts contain deleterious mutations in the PAD1 and FDC1 genes (Figure 4). Furthermore, all yeasts exhibited a loss of heterozygosity (Figure 4). Only the Great Northern Brewery yeast retained a majority of heterozygous SNPs with the Cherry, Perry, and Smithwick’s yeast losing heterozygosity in all different SNPs compared to the reference yeast S. cerevisiae S288c. A mutation at position 494 in FDC1 results in a frameshift mutation, and a stop mutation at position 304 in PAD1 has previously been described as leading to a POF-negative phenotype (Gonçalves et al., 2016). The data presented in this study confirmed that Perry, Cherry, Smithwick’s, Great Northern Brewery, and Macardle 1965 were all POF-negative. All historical Irish brewing yeasts have a homozygous SNP at position 304 in the PAD1 gene, except for the Great Northern Brewery yeast that retains a heterozygous SNP. This SNP at position 304 results in a stop codon in PAD1. The Great Northern Brewery is POF-negative establishing that the heterozygous mutation at position 304 in PAD1 does not result in retention of the POF phenotype.
The Macardle 1993 yeast retains both the frameshift mutation in FDC1 and the stop codon mutation in PAD1. Nevertheless, the Macardle 1993 yeast is POF-positive producing 4-vinyl-guaiacol at a concentration >1,000 ppm. A repeated sniff test confirmed the original observation that the Macardle 1993 yeast is POF-positive. The observation that a yeast can be POF-positive despite having an adenine insertion in FDC1 and the presence of a stop codon in PAD1 has been previously reported in a British yeast that grouped within the Hefeweizen yeast cluster (Gonçalves et al., 2016). However, these mutations to FDC1 and PAD1 would be expected to result in a loss of function (Mukai et al., 2014).
The yeast flocculation phenotype is exploited by brewers as an aid to beer clarification (Vidgren and Londesborough, 2011). This reversible, non-sexual aggregation of cells improves the efficiency of sedimentation or separation from beer at the end of fermentation. This aids both beer colloidal stability and the ease of yeast crop separation (Vidgren and Londesborough, 2011). Environmental factors, such as pH, temperature, Ca2+ concentration, fermentable sugars, and other nutrients, influence the efficiency of flocculation (Stratford, 1989; Stratford, 1992; Straver et al., 1993; Stratford, 1996). The flocculation genes FLO1, FLO5, FLO8, FLO9, FLO10, and FLO11 are responsible for determining the flocculation phenotype (Govender et al., 2008). Using the EBC Gilliland Method EBC 3.5.31, the flocculation of the six historical Irish brewing yeast was determined (Gilliland, 1951) (Figure 4). Gilliland’s method places yeast flocculation within defined flocculation classes: Class 1, non-flocculant; Class 2, slightly flocculant; Class 3, moderately flocculant; Class 4, highly flocculant. The 100% “British” yeasts were all Class 4, highly flocculant. The Macardle 1965 yeast was Class 2, slightly flocculant, while the Macardle 1993 and Great Northern Brewery yeasts were moderately flocculant. Further analysis of the effects of the flocculation genes FLO1, FLO5, FLO8, FLO9, FLO10, and FLO11 was not possible with the Illumina sequencing data, as these genes are located in the subtelomeric regions: areas associated with poor quality genome reads (Teunissen and Steensma, 1995).
The historical records of the flocculation phenotypes of the six Irish yeasts were different from the observations of this study. The 100% “British” lineage yeasts were all reported as being Class 2, slightly flocculant; whereas, the Macardle 1965 yeast was Class 3, moderately flocculant, the Macardle 1993 yeast was Class 2, slightly flocculant, and the Great Northern Brewery yeast was Class 4, highly flocculant. The EBC Gilliland Method EBC 3.5.31 is subjective, as it requires the user to determine the level of flocculence based on a set of flocculation criteria. This may account for a difference in the historical and recent observations, or perhaps there was a change occurred in flocculation phenotype, although the loss of flocculation ability is the more common mutation (Sato et al., 2001). The assessment of flocculation phenotype established that there were no observable flocculation phenotype differences among the 100% “British” lineage yeasts, but differences were observed among the <90% “British” lineage yeasts.
The results presented in this study support the contention that the historical Irish brewing yeasts examined form distinct phylogenetic groups that correlate with specific regional locations in Ireland, specifically those from the contiguous southern counties of Laois, Kilkenny, and Wexford grouping, and the more northerly Dundalk yeast. Furthermore, brewing-associated phenotypes also group within these regional locations. Previous publications established that the Saccharomyces genus is of Asian origin (Peris et al., 2023) with brewing strains of S. cerevisiae, an admixture of Asian and European wine strains (Fay et al., 2019). S. cerevisiae yeasts used to brew commercial beers have been found to be dominated by Asian admixture (Abou Saada et al., 2022), but the data presented in this study provide evidence of more recent admixture events. The data confirm that while the historical Irish brewing yeasts share a common ancestor, they have subsequently diverged genotypically and phenotypically to be associated with two distinct regional locations.
The historical Irish brewing yeast: Perry, Smithwick’s, Great Northern Brewery, Macardle 1965, Macardle 1993, and Cherry belong to the Britain lineage grouping, within the previously described Beer 1 clade (Gallone et al., 2016). A subset of segregating SNPs, generated by pruning based on high levels of pairwise linkage disequilibrium between variants, was used to determine the degree of shared ancestry between the historical Irish brewing yeasts and other previously sequenced, functionally and geographically variable samples. This population structure analysis confirms the placement of the historical Irish brewing yeasts within the geographically distinct Britain subgroup of the Beer 1 clade. It suggests that Cherry, Perry and Smithwick’s exhibit a 100% fractional representation of the resolved “British” lineage, whereas the Great Northern Brewery, Macardle 1965, and Macardle 1993 yeasts exhibit <90% “British” lineage, with the remaining variation sharing ancestry with the US subpopulation in the Beer 1 clade. The yeasts associated with a 100% “Britain” lineage are from counties that border one other—Laois, Kilkenny, and Wexford—whereas those with <90% “Britain” lineage are from the geographically distinct town of Dundalk.
In addition to their shared genetic 100% “British” ancestry, the Perry, Cherry, and Smithwick’s yeasts share phenotypic similarities, including patterns of glucose, fructose, and maltotriose utilization, flocculation characteristics, and the formation of ethanol, propanol, and POF. These are shared with the 100% “British” lineage yeasts. These are in contrast with the <90% “Britain” lineage where only ethanol and the sugars glucose, fructose, and sucrose utilization are similar. When all historical Irish brewing yeasts are assessed for phenotypic similarity, only glucose and fructose utilization were not statistically significant. This is unsurprising, as glucose and fructose are the sugars used as the starting point for glycolysis (Briggs et al., 2004).
All yeasts assessed in this study are aneuploid with multiple CNVs. The role of CNV on phenotype is an area of study where there is conflicting information. For example, publications have demonstrated the effects of CNV on adaptation to toxic chemical stress (Liu and Huang, 2022), improved resistance to acidic conditions (Kang et al., 2019), and improved ethanol tolerance (Morard et al., 2019). However, in this study, the assessment of CNV of genes related to brewing phenotypes for the historical Irish brewing yeasts confirms that CNV does not increase or decrease brewing-related phenotypes. This observation confirms previous studies where CNV does not affect brewing phenotypes (Scopel et al., 2021).
POF is undesirable in beers that are not brewed in the Hefeweizen style (Gallone et al., 2016). The loss of the POF phenotype is commonplace for yeasts used to make commercial beer and sake (Gallone et al., 2016). All six historical Irish brewing yeasts contain mutations in the PAD1 and FDC1 genes that have been reported as negatively impacting the POF phenotype (Mukai et al., 2014; Chen et al., 2015). The phenotypic assessment of POF confirms the genotype in five of the six historical Irish brewing yeasts: Perry, Smithwick’s, Great Northern Brewery, Macardle 1965, and Cherry; however, despite containing the same mutations that result in a loss of function, the Macardle 1993 yeast is POF-positive. Previous publications have hypothesized that as yet unidentified compounds or enzymes result in a change in POF production (Gonçalves et al., 2016; Kerruish et al., 2024). The data presented in this study further support these observations, as the reported insertion in FDC1 and the presence of a stop codon in PAD1 has been previously reported in a British ale POF-positive yeast, TUM 507 (Gonçalves et al., 2016). The data presented in this study confirm that the observation in TUM 507 occurs in another brewing yeast and warrants further investigation.
The historical records of the yeast used in this project provide further context to the genotypic and phenotypic observations of this study. The extant historical records held within the Guinness archives and the yeast library at St. James’s Gate give insight as to which yeast was used in which brewery. For example, the Cherry yeast used in this study was the original yeast used in the Cherry New Ross Brewery, even though later Cherry beers were brewed in the Strangman Brewery. However, the observations of Macardle yeast are incongruous with the historical records in which it states that the Macardle 1993 pitching yeast was isolated from the 1970 Smithwick’s brewing pitching yeast. The data presented in this study establish that both of the Macardle yeasts share a recent common ancestor that is removed from the Smithwick’s yeast. Moreover, the 1970 Smithwick’s pitching yeast was POF-negative whereas, the Macardle 1993 yeast is POF-positive. Perhaps the reason for the difference in the historical context and the observation of this study is that, in 1993, Smithwick’s was brewed in the Macardle brewery. Consequently, the yeast isolated from Macardle in 1993 could have been the Macardle brewery house yeast. The genotypic analysis of the Macardle yeast supports this hypothesis.
All yeasts assessed in this study produced a mixture of ales and stouts (Colgan, 2020). In addition, the Cherry, Perry, and Smithwick’s breweries produced pale ales, India Pale ales, porters, and barley wines (Colgan, 2020). In our previous publication, we hypothesized that the reason for the difference between the Guinness yeast and other historical Irish brewing yeasts was that Guinness yeast was used to brew beer principally in the stout style only (Kerruish et al., 2024). As the Guinness yeast was used for stout production, it meant that phenotypic traits that would usually be undesirable, such as poor flocculation and POF-positive, could be retained as they did not have a negative impact on stout production (Kerruish et al., 2024). Consequently, for brewers producing different beer styles, a yeast that was generalist would be the most suitable. The data presented in this study add further support to this hypothesis. The 100% “British” lineage yeast—Perry, Cherry, and Smithwick’s—were used to produce a range of different beer styles and share phenotypic traits, including the same flocculation class, POF-negative, and patterns of utilization of glucose, fructose, and maltotriose. These phenotypes would be desirable in a yeast used to brew different beer styles, a generalist yeast. The phenotypic traits that are statistically different among Perry, Cherry, and Smithwick’s are principally phenotypes related to flavor, a personal choice of the brewer as opposed to a requirement of brewing. In contrast, the <90% “British” lineage—Great Northern Brewery, Macardle 1965, Macardle 1993 yeast—produced ales with limited amounts of stouts; consequently, these yeasts share fewer phenotypic traits. When all brewing phenotypes of the historical Irish brewing yeasts are compared, they are statistically different. However, when the phenotypes are assessed based on 100 and <90% “Britain” lineage, differences in phenotypes are limited. Accordingly, like the genotypic grouping, the phenotype grouping is divided upon 100 and <90% “Britain” lineage.
The six historical yeasts group phenotypically and genotypically within the requirements of their beer-style production. The generalist yeasts, 100% “Britain” lineage, were used to brew different beer styles from Indian pale ales to low Alcohol By Volume ales, whereas the <90% “Britain” lineage brewed beer in principally one beer style (Colgan, 2020). Previous SNP assessment of S. cerevisiae by Gonçalves et al. (2016) placed yeast within beer styles; however, there were notable differences with some yeasts determined as being from a particular beer-style grouping outside of their stated category. Similarly, other microbes used in the manufacturing process are also grouped by their industrial application. Phylogenetic assessment using multi-locus sequencing typing of the milk-processing lactic acid bacteria Lactococcus lactis grouped the bacterial species within the dairy and non-dairy-associated strains (Passerini et al., 2010). The grouping established that cheese production associated with L. lactis groups closely with starting culture L. lactis and that these groupings are different from the non-domesticated L. lactis. Similarly, the phylogenetic assessment of industrial A. oryzae was grouped based on industrial applications (Watarai et al., 2019). Furthermore, the phylogenetic assessment of 50 Oenococcus oeni strains, a lactic acid bacteria associated with malolactic fermentation of wine and cider production, grouped within their respective product type. The authors concluded that these groupings were a consequence of domestication activity (Campbell-Sills et al., 2015). These studies of microbes used by humans in the manufacturing process established the phylogenetic relationship between microbes, demonstrating the effects of domestication on their respective genomes. The data presented in this study provide further evidence of the effects of domestication, with the phenotype of the yeast relating to brewing functionality. Our data provide further evidence of domestication influencing microbial phenotype and genotype, establishing that there are specific yeast for specific beer styles. Moreover, for breweries that make a particular beer, this study suggests that the yeast strain is specific to that beer. This observation has potentially wider implications for microbe-derived food and beverage products establishing the importance of proprietary microbes for specific products.
The phylogenetic data presented in this study establish that the six historical Irish brewing yeasts from five Irish breweries are divided into two lineages: 100% “Britain” and <90% “Britain” and that brewing phenotypes of these yeasts also group within these lineages. Our findings establish that the brewing phenotypes observed within the different yeasts are a consequence of the different beer styles brewed with “generalist” brewing yeasts sharing brewing phenotypes that enable the production of a range of different beers, whereas yeast used to make stouts and ales have specific brewing phenotypic traits. Furthermore, the CNV analysis of key brewing phenotypes confirms previous observations that CNV does not influence brewing phenotypes. Moreover, the analysis presented in this study adds further evidence that there are as yet unidentified genes within S. cerevisiae that produce POF, as mutations in the POF genes PAD1 and FDC1 still result in retention of the POF phenotype. Finally, in conclusion, this study provides further evidence of yeast selection influencing beer styles.
Illumina and Nanopore (basecalled, demultiplexed) reads for all sequenced samples in this manuscript are deposited in the European Nucleotide Archive (ENA) under the project accession PRJEB62101. All experimental data is presented in Supplementary Table 1.
DK: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Validation, Writing – original draft. PC: Investigation, Methodology, Software, Writing – original draft. EK: Investigation, Software, Writing – review & editing. CW: Data curation, Investigation, Writing – review & editing. SG: Conceptualization, Resources, Writing – review & editing. EC: Investigation, Writing – original draft. KS: Resources, Writing – review & editing. CB: Conceptualization, Investigation, Methodology, Supervision, Writing – original draft. SS: Conceptualization, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft.
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. All funding was met by Diageo Ireland.
The authors would like to thank the Guinness Brand Team for sponsoring the work. The authors would like to thank Dr. Kieran Joyce and his team for their analytical support. DK and PC would like to thank Dr. Brigida Gallone, Dr. Jan Steensels, Prof. Kevin Verstrepen et al. for their 2016 investigation. The St James’s Gate Yeast Library has been maintained since 1903 by numerous Guinness Microbiologists; however, the authors would like to give special thanks to June Hurley, Dr. Barbara Cantwell, Dr. Daniel Donnelly, Dr. Edmound Bourke, Angela Larkin, Dr. Vidya Dixit, and Noel Early.
Carl Whelan, Eibhlin Colgan, Steve Gilsenan, Katherine Smart, and Sandra Stelma are employees of Diageo Ireland, the owners of Guinness. Daniel Kerruish was a previous Diageo employee, and Chris Boulton is employed as a consultant by Diageo Ireland.
The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2025.1452334/full#supplementary-material
Abou Saada, O., Tsouris, A., Large, C., Friedrich, A., Dunham, M. J., and Schacherer, J. (2022). Phased polyploid genomes provide deeper insight into the multiple origins of domesticated Saccharomyces cerevisiae beer yeasts. Curr. Biol. 32, 1350–1361.e3. doi: 10.1016/j.cub.2022.01.068
Alonge, M., Soyk, S., Ramakrishnan, S., Wang, X., Goodwin, S., Sedlazeck, F. J., et al. (2019). RaGOO: fast and accurate reference-guided scaffolding of draft genomes. Genome Biol. 20, 1–17. doi: 10.1186/s13059-019-1829-6
ASBC (1985). ASBC method yeast 7. American Society of Brewing Chemists. Report of subcommittee on microbiology. J. Am. Soc. Brew. Chem. 43:p16. doi: 10.1094/ASBJ-43-0161
ASBC (2008). ASBC method yeast 13. American Society of Brewing Chemists. Report of subcommittee on differentiation of brewing yeast strains by PCR fingerprinting. J. Am. Soc. Brew. Chem. 66, 266–270. doi: 10.1094/ASBCJ-2008-1021-01
Bilinski, C. A., and Casey, G. P. (1989). Developments in sporulation and breeding of brewer's yeast. Yeast 5, 429–438. doi: 10.1002/yea.320050603
Boeva, V., Popova, T., Bleakley, K., Chiche, P., Cappo, J., Schleiermacher, G., et al. (2012). Control-FREEC: a tool for assessing copy number and allelic content using next-generation sequencing data. Bioinformatics 28, 423–425. doi: 10.1093/bioinformatics/btr670
Briggs, D. E., Brookes, P. A., Stevens, R. B. C. A., and Boulton, C. A. (2004). Brewing: science and practice. Elsevier.
Buckee, G. K., and Mundy, A. P. (1994). Determination of vicinal diketones in beer by gas chromatography (headspace technique) – collaborative trial. J. Inst. Brew. 100, 247–253. doi: 10.1002/j.2050-0416.1994.tb00820.x
Campbell-Sills, H., El Khoury, M., Favier, M., Romano, A., Biasioli, F., Spano, G., et al. (2015). Phylogenomic analysis of Oenococcus oeni reveals specific domestication of strains to cider and wines. Genome Biol. Evol. 7, 1506–1518. doi: 10.1093/gbe/evv084
Charron, M. J., Read, E., Haut, S. R., and Michels, C. A. (1989). Molecular evolution of the telomere-associated MAL loci of Saccharomyces. Genetics 122, 307–316. doi: 10.1093/genetics/122.2.307
Chen, P., Dong, J., Yin, H., Bao, X., Chen, L., He, Y., et al. (2015). Single nucleotide polymorphisms and transcription analysis of genes involved in ferulic acid decarboxylation among different beer yeasts. J. Inst. Brew. 121, 481–489. doi: 10.1002/jib.249
Cingolani, P., Platts, A., Wang, L. L., Coon, M., Nguyen, T., Wang, L., et al. (2012). A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly 6, 80–92. doi: 10.4161/fly.19695
Cornell, M. (2003). Beer: The story of the pint: The history of Britain's Most popular drink : Headline.
Danecek, P., Bonfield, J. K., Liddle, J., Marshall, J., Ohan, V., Pollard, M. O., et al. (2021). Twelve years of SAMtools and BCFtools. Gigascience 10:p.giab008. doi: 10.1093/gigascience/giab008
Emms, D. M., and Kelly, S. (2019). OrthoFinder: phylogenetic orthology inference for comparative genomics. Genome Biol. 20, 1–14. doi: 10.1186/s13059-019-1832-y
Fay, J. C., Liu, P., Ong, G. T., Dunham, M. J., Cromie, G. A., Jeffery, E. W., et al. (2019). A polyploid admixed origin of beer yeasts derived from European and Asian wine populations. PLoS Biol. 17:e3000147. doi: 10.1371/journal.pbio.3000147
Fijarczyk, A., Hénault, M., Marsit, S., Charron, G., Fischborn, T., Nicole-Labrie, L., et al. (2020). The genome sequence of the Jean-talon strain, an archeological beer yeast from Québec, reveals traces of adaptation to specific brewing conditions. G3 (Bethesda) 10, 3087–3097. doi: 10.1534/g3.120.401149
Foster, T. (2014). Brewing porters and stouts: Origins, history, and 60 recipes for brewing them at home today : Simon and Schuster.
Gallone, B., Steensels, J., Prahl, T., Soriaga, L., Saels, V., Herrera-Malaver, B., et al. (2016). Domestication and divergence of Saccharomyces cerevisiae beer yeasts. Cell 166, 1397–1410.e16. doi: 10.1016/j.cell.2016.08.020
Gonçalves, M., Pontes, A., Almeida, P., Barbosa, R., Serra, M., Libkind, D., et al. (2016). Distinct domestication trajectories in top-fermenting beer yeasts and wine yeasts. Curr. Biol. 26, 2750–2761. doi: 10.1016/j.cub.2016.08.040
Govender, P., Domingo, J. L., Bester, M. C., Pretorius, I. S., and Bauer, F. F. (2008). Controlled expression of the dominant flocculation genes FLO1, FLO5, and FLO11 in Saccharomyces cerevisiae. Appl. Environ. Microbiol. 74, 6041–6052. doi: 10.1128/AEM.00394-08
Hao, P., Zheng, H., Yu, Y., Ding, G., Gu, W., Chen, S., et al. (2011). Complete sequencing and pan-genomic analysis of Lactobacillus delbrueckii subsp. bulgaricus reveal its genetic basis for industrial yogurt production. PloS one, 6, e15964.
Kalayu, G. (2019). Serial re-pitching: its effect on yeast physiology, fermentation performance, and product quality. Ann. Microbiol. 69, 787–796. doi: 10.1007/s13213-019-01493-4
Kang, K., Bergdahl, B., Machado, D., Dato, L., Han, T. L., Li, J., et al. (2019). Linking genetic, metabolic, and phenotypic diversity among Saccharomyces cerevisiae strains using multi-omics associations. Gigascience 8:p.giz015. doi: 10.1093/gigascience/giz015
Kerruish, D. W., Cormican, P., Kenny, E. M., Kearns, J., Colgan, E., Boulton, C. A., et al. (2024). The origins of the Guinness stout yeast. Commun. Biol. 7:68. doi: 10.1038/s42003-023-05587-3
Kusumoto, K. I., Nogata, Y., and Ohta, H. (2000). Directed deletions in the aflatoxin biosynthesis gene homolog cluster of aspergillus oryzae. Curr. Genet. 37, 104–111. doi: 10.1007/s002940050016
Lawrence, S. J., Wimalasena, T. T., Nicholls, S. M., Box, W. G., Boulton, C., and Smart, K. A. (2012). Incidence and characterization of petites isolated from lager brewing yeast Saccharomyces cerevisiae populations. J. Am. Soc. Brew. Chem. 70, 268–274. doi: 10.1094/ASBCJ-2012-0917-01
Legras, J. L., and Karst, F. (2003). Optimisation of interdelta analysis for Saccharomyces cerevisiae strain characterisation. FEMS Microbiol. Lett. 221, 249–255. doi: 10.1016/S0378-1097(03)00205-2
Li, H., and Durbin, R. (2009). Fast and accurate short read alignment with burrows–wheeler transform. Bioinformatics 25, 1754–1760. doi: 10.1093/bioinformatics/btp324
Lilly, M., Bauer, F. F., Styger, G., Lambrechts, M. G., and Pretorius, I. S. (2006). The effect of increased branched-chain amino acid transaminase activity in yeast on the production of higher alcohols and on the flavour profiles of wine and distillates. FEMS Yeast Res. 6, 726–743. doi: 10.1111/j.1567-1364.2006.00057.x
Liu, Z. L., and Huang, X. (2022). Copy number variants impact phenotype-genotype relationships for adaptation of industrial yeast Saccharomyces cerevisiae. Appl. Microbiol. Biotechnol. 106, 6611–6623. doi: 10.1007/s00253-022-12137-0
Machida, M., Yamada, O., and Gomi, K. (2008). Genomics of aspergillus oryzae: learning from the history of Koji mold and exploration of its future. DNA Res. 15, 173–183. doi: 10.1093/dnares/dsn020
Madigan, D., McMurrough, I., and Smyth, M. R. (1994). Rapid determination of 4-vinyl guaiacol and ferulic acid in beers and worts by high-performance liquid chromatography. J. Am. Soc. Brew. Chem. 52, 152–155. doi: 10.1094/ASBCJ-52-0152
Meilgaard, M. C., Reid, D. S., and Wyborski, K. A. (1982). Reference standards for beer flavor terminology system. J. Am. Soc. Brew. Chem. 40, 119–128. doi: 10.1094/ASBCJ-40-0119
Morard, M., Macías, L. G., Adam, A. C., Lairón-Peris, M., Pérez-Torrado, R., Toft, C., et al. (2019). Aneuploidy and ethanol tolerance in Saccharomyces cerevisiae. Front. Genet. 10:82. doi: 10.3389/fgene.2019.00082
Moutsoglou, M. E., and Dearden, A. C. (2020). Effect of the respiro-fermentative balance during yeast propagation on fermentation and wort attenuation. J. Inst. Brew. 126, 289–297. doi: 10.1002/jib.621
Mukai, N., Masaki, K., Fujii, T., and Iefuji, H. (2014). Single nucleotide polymorphisms of PAD1 and FDC1 show a positive relationship with ferulic acid decarboxylation ability among industrial yeasts used in alcoholic beverage production. J. Biosci. Bioeng. 118, 50–55. doi: 10.1016/j.jbiosc.2013.12.017
Okonechnikov, K., Conesa, A., and García-Alcalde, F. (2016). Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data. Bioinformatics 32, 292–294. doi: 10.1093/bioinformatics/btv566
Passerini, D., Beltramo, C., Coddeville, M., Quentin, Y., Ritzenthaler, P., Daveran-Mingot, M. L., et al. (2010). Genes but not genomes reveal bacterial domestication of Lactococcus lactis. PLoS One 5:e15306. doi: 10.1371/journal.pone.0015306
Peris, D., Ubbelohde, E. J., Kuang, M. C., Kominek, J., Langdon, Q. K., Adams, M., et al. (2023). Macroevolutionary diversity of traits and genomes in the model yeast genus Saccharomyces. Nat. Commun. 14:690. doi: 10.1038/s41467-023-36139-2
Peter, J., De Chiara, M., Friedrich, A., Yue, J. X., Pflieger, D., Bergström, A., et al. (2018). Genome evolution across 1,011 Saccharomyces cerevisiae isolates. Nature 556, 339–344. doi: 10.1038/s41586-018-0030-5
Powell, C. D., Quain, D. E., and Smart, K. A. (2004). The impact of sedimentation on cone yeast heterogeneity. J. Am. Soc. Brew. Chem. 62, 8–17. doi: 10.1094/ASBCJ-62-0008
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A., Bender, D., et al. (2007). PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575. doi: 10.1086/519795
Raj, A., Stephens, M., and Pritchard, J. K. (2014). fastSTRUCTURE: variational inference of population structure in large SNP data sets. Genetics 197, 573–589. doi: 10.1534/genetics.114.164350
Richards, M. (1967). The use of giant-colony morphology for the differentiation of brewing yeasts. J. Inst. Brew. 73, 162–166. doi: 10.1002/j.2050-0416.1967.tb03028.x
Sato, M., Watari, J., and Shinotsuka, K. (2001). Genetic instability in flocculation of bottom-fermenting yeast. J. Am. Soc. Brew. Chem. 59, 130–134. doi: 10.1094/ASBCJ-59-0130
Scopel, E. F., Hose, J., Bensasson, D., and Gasch, A. P. (2021). Genetic variation in aneuploidy prevalence and tolerance across Saccharomyces cerevisiae lineages. Genetics 217:p.iyab015. doi: 10.1093/genetics/iyab015
Smart, K. A. (2007). Brewing yeast genomes and genome-wide expression and proteome profiling during fermentation. Yeast 24, 993–1013. doi: 10.1002/yea.1553
Smart, K. A., Chambers, K. M., Lambert, I., and Jenkins, C. (1999). Use of methylene violet staining procedures to determine yeast viability and vitality. J. Am. Soc. Brew. Chem. 57, 18–23. doi: 10.1094/ASBCJ-57-0018
Stamatakis, A. (2014). RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313. doi: 10.1093/bioinformatics/btu033
Steensels, J., Gallone, B., Voordeckers, K., and Verstrepen, K. J. (2019). Domestication of industrial microbes. Curr. Biol. 29, R381–R393. doi: 10.1016/j.cub.2019.04.025
Stratford, M. (1989). Yeast flocculation: calcium specificity. Yeast 5, 487–496. doi: 10.1002/yea.320050608
Stratford, M. (1992). Yeast flocculation: a new perspective. Adv. Microb. Physiol. 33, 1–71. doi: 10.1016/S0065-2911(08)60215-5
Stratford, M. (1996). Induction of flocculation in brewing yeasts by change in pH value. FEMS Microbiol. Lett. 136, 13–18. doi: 10.1111/j.1574-6968.1996.tb08018.x
Straver, M. H., Aar, P. C., Smit, G., and Kijne, J. W. (1993). Determinants of flocculence of brewer's yeast during fermentation in wort. Yeast 9, 527–532. doi: 10.1002/yea.320090509
Styger, G., Jacobson, D., Prior, B. A., and Bauer, F. F. (2013). Genetic analysis of the metabolic pathways responsible for aroma metabolite production by Saccharomyces cerevisiae. Appl. Microbiol. Biotechnol. 97, 4429–4442. doi: 10.1007/s00253-012-4522-1
Teunissen, A. W., and Steensma, H. Y. (1995). The dominant flocculation genes of Saccharomyces cerevisiae constitute a new subtelomeric gene family. Yeast (Chichester, England) 11, 1001–1013. doi: 10.1002/yea.320111102
Vidgren, V., and Londesborough, J. (2011). 125th anniversary review: yeast flocculation and sedimentation in brewing. J. Inst. Brew. 117, 475–487. doi: 10.1002/j.2050-0416.2011.tb00495.x
Voordeckers, K., and Verstrepen, K. J. (2015). Experimental evolution of the model eukaryote Saccharomyces cerevisiae yields insight into the molecular mechanisms underlying adaptation. Curr. Opin. Microbiol. 28, 1–9. doi: 10.1016/j.mib.2015.06.018
Watarai, N., Yamamoto, N., Sawada, K., and Yamada, T. (2019). Evolution of aspergillus oryzae before and after domestication inferred by large-scale comparative genomic analysis. DNA Res. 26, 465–472. doi: 10.1093/dnares/dsz024
Waterhouse, R. M., Seppey, M., Simão, F. A., Manni, M., Ioannidis, P., Klioutchnikov, G., et al. (2018). BUSCO applications from quality assessments to gene prediction and phylogenomics. Mol. Biol. Evol. 35, 543–548. doi: 10.1093/molbev/msx319
Keywords: Saccharomyces cerevisiae , historical Irish brewing yeast, brewing, phylogenetic, domesticated microbes
Citation: Kerruish DWM, Cormican P, Kenny EM, Whelan CJM, Gilsenan S, Colgan E, Smart KA, Boulton CA and Stelma SNE (2025) Effects of regional location on the genotype and phenotype of historical Irish brewing yeast. Front. Microbiol. 16:1452334. doi: 10.3389/fmicb.2025.1452334
Received: 20 June 2024; Accepted: 10 February 2025;
Published: 11 March 2025.
Edited by:
Aspasia Nisiotou, Hellenic Agricultural Organization, GreeceReviewed by:
Georgios Banilas, University of West Attica, GreeceCopyright © 2025 Kerruish, Cormican, Kenny, Whelan, Gilsenan, Colgan, Smart, Boulton and Stelma. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Sandra N. E. Stelma, U2FuZHJhLlN0ZWxtYUBkaWFnZW8uY29t
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Research integrity at Frontiers
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.