Monthly Archives: October 2017

Decoding some White Labs strains from the Gallone et al. 2016 paper

NOTE: This post has been updated.

The paper on brewing yeast domestication authored by the Verstrepen lab and White Labs last year is a fantastic piece of work (i.e. Domestication and Divergence of Saccharomyces cerevisiae Beer Yeasts, Gallone et al. 2016, Cell). I’m sure most of you have seen it by now, so I won’t be going into any details about it. While the article and the work that has been done is amazing, there is one big negative about it: the strains used in the study have been coded, and there is no way of knowing what strain in the paper corresponds to what strain from White Labs or the Verstrepen lab. This means that the readers can’t really benefit from the huge amount of phenotypic data that the study generated. Wouldn’t be nice, for example, to know which White Labs strains are POF+, which ones can’t use maltotriose, which ones produce high concentrations of isoamyl acetate, or which ones sporulate easily?

There is one way of finding out what the coded strains are though, but unfortunately it isn’t completely straight-forward and at the moment it can only be done with a handful of strains. The authors have released the genome assemblies for each of the strains used in the study (available here: https://www.ncbi.nlm.nih.gov/bioproject/323691). The genomes of some White Labs strains have been sequenced in other studies, and performing a search for ‘WLP*’ in the NCBI database yields some hits (https://www.ncbi.nlm.nih.gov/biosample/?term=WLP*). Most of these Illumina reads are from a recent paper focusing on wine yeasts by Borneman et al. 2016. Luckily the strains weren’t coded in this study, and we know what White Labs strains these sequence reads are derived from.

What I then did, was download all of the raw sequence reads for any White Labs strains I could find. I then aligned them to a brewing yeast reference genome (VTT-A81062). After alignment, I looked for SNPs with FreeBayes, and used the resulting VCF files to create consensus sequences for each White Labs strain using BCFtools. I then used ParSNP to perform core genome alignment on these consensus sequences and all 157 of the assemblies from the Gallone et al. paper that I had obtained previously. ParSNP outputs a core genome phylogeny (generated with FastTree2) and a SNP matrix. I additionally produced a maximum likelihood phylogenetic tree using the SNP matrix and ExaML. To identify the White Labs strains from the coded strains in the Gallone et al. paper, I then looked for the closest hits in the phylogenetic tree (this was really obvious for most strains). In cases when there wasn’t one obvious hit, I also looked at Supplementary Table S1 in Gallone et al. 2016 for the reported origin and source of each strain.

Using this approach, I was able to identify eight White Labs strains from the set of coded strains. I know it is not much, but at least it is a good start, and it already gives some interesting and valuable information. First of all here are the results:

WLP_strainsThe question mark (?) after the ‘Code in paper’ means that there were two close hits, and I chose the match based on the reported origin and source as well. First of all, my suspicions regarding WLP099 were true (see this old post), with it being Beer033, a yeast grouping in the wine clade and unable to use maltotriose. Interestingly, WLP570 (Beer085) also seems to be unable to use maltotriose. This should be the ‘Duvel’ strain, and based on this information, it should only be able to produce bone-dry beers in worts supplemented with sugars (as Duvel is, if I’ve understood correctly). Another interesting observation we can make is that WLP705 appears to be Sake002. This is the only out of the seven Sake strains that wasn’t grouped in the Asian clade, but rather in the wine clade. Is this really a Sake yeast, or is it a mislabeled wine yeast? Anyways, there is a lot of interesting data to be extracted from these strains alone (esters, ethanol tolerance, etc.)!

While writing this blog post, I also noticed that the authors have released the Illumina reads to all the strains as well (in June 2017 apparently). This should allow me to confirm these results by looking at things such as chromosome copy numbers (through coverage) and SNP heterozygosity (the assemblies are haploid sequences). Unfortunately, I probably won’t have time to do that anytime soon though. But hopefully I can have a look at those later during the winter.

I will also be keeping an eye on the NCBI databases in case more White Labs strains are sequenced in the future!

Some of our recent research

I feel bad for again having to start off a post by apologizing for my inactivity here at the blog. It has been quite a busy summer for me, as my wife and I got our first child (his name is Ludwig) in the end of June. I’m currently on parental leave from my research work, so have also been busy with wrapping up my ongoing work, so I can continue with it when I return from my leave in March. Anyways, we have been working on lots of interesting hybrid-related projects at our lab, so I thought I’d briefly sum up some of the topics we’ve been working on:

Adaptive evolution of newly created lager hybrids

This is the project I’ve been dedicating most of my time to the past 18 months. While the results haven’t been published in a peer-reviewed journal yet, we’ve submitted a manuscript based on the results for review, and have uploaded a pre-print to bioRxiv for everyone to read. We and others before us, have noticed that many hybrids (particularly interspecies ones) tend to have quite unstable genomes. This means that their genomes, along with their phenotypic properties, can change as the hybrid is grown for several generations. This is not very desirable in a brewing environment, where yeast is reused for multiple consecutive fermentations. We decided to exploit this instability, by growing (and adapting) some of our hybrids in media containing high ethanol concentrations for 130+ generations. We isolated colonies of variant strains along the adaptation process, and through a screening step, we managed to select several variant strains that outperformed the original hybrids in wort fermentations. Many of these variants also had higher ethanol tolerance than the original hybrids, and produced a more desirable aroma profile (more esters, less higher alcohols, and less diacetyl). We sequenced the genomes of these variants, and noticed that all variants had undergone gains and losses of various chromosomes. The results seemed to suggest that the S. cerevisiae sub-genome in the hybrids was ‘preferred’, while the S. eubayanus sub-genome had undergone more losses. We also identified multiple single nucleotide polymorphisms and small indels which affected the coding sequence of many genes. Mutations in some of these genes had previously been reported to affect ethanol tolerance and general fitness. In addition, these variant strains appeared stable when grown for multiple generations. All in all, our study shows that interspecific hybridization, coupled with adaptive evolution, is a powerful tool for producing new strains with tailor-designed properties.

Here is a link to the pre-print: https://www.biorxiv.org/content/early/2017/10/16/204198

Alternative Saccharomyces interspecific hybrid combinations for lager fermentations

This is a project a MSc student, Jarkko Nikulin, worked on last year. We wanted to investigate whether S. eubayanus really is that important for lager (i.e. low-temperature) fermentations. Studies have shown that there are several other cold-tolerant Saccharomyces species (though not as cold-tolerant as S. eubayanus), and the questions was: can we replace S. eubayanus in a lager hybrid with one of these alternative Saccharomyces species? We generated a range of S. cerevisiae × (S. arboricola / S. eubayanus / S. mikatae / S. uvarum) hybrids and compared them in wort fermentations. We noticed that S. eubayanus seems to be dispensable, as many of the other alternative hybrids performed just as well in low-temperature wort fermentations. There is a quite a lot of potential to generate some really diverse and unique strains using these alternative Saccharomyces species.

Here is a link to the study: http://onlinelibrary.wiley.com/doi/10.1002/yea.3246/full/

The use of Saccharomyces eubayanus and its hybrids in wine-making

This is a project my colleague and fellow PhD student Frederico Magalhaes has been working on. In his PhD project he has been looking at the use of S. eubayanus for cider and wine-making. Many wine fermentations are carried out at lower temperatures, e.g. to increase aromatic complexity and decrease the growth of contaminants, and the use of S. eubayanus would allow for that. You can read more about Frederico’s work in the following blog post:

https://vttindustrialbiotechnology.com/2017/08/30/some-like-it-cold-vtts-cold-tolerant-yeast-strains-for-wine-and-cider-production/

Here is also a link to a published study: https://doi.org/10.1093/femsyr/fox049

Review on modern yeast development strategies

Finally, here is a review on modern brewing yeast design and development that I was involved in, and was written for the ISSY33 conference that took place this summer in Ireland. Some of the topics that are covered are non-conventional brewing yeast, hybridization and genome analysis.

Here is a link to the review: https://academic.oup.com/femsyr/article/17/4/fox038/3861261