Genome Analysis of a Newly Discovered Yeast Species, Hanseniaspora menglaensis

Ryan, Adam P.; Groenewald, Marizeth; Smith, Maudy Th.; Holohan, Cian; Boekhout, Teun; Wolfe, Kenneth H.; Butler, Geraldine

doi:10.3390/jof10030180

Cited by 2 publications

(1 citation statement)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We also found several strains that do not match known species particularly well, suggesting that they are new species. However, a more extensive combination of phenotypic pro ling, DNA barcoding, and multi-locus phylogenetics would be essential to robustly delineate and describe these novel yeast species (Ryan et al, 2024). Additionally, we show that some strains produce high amounts of lipids from lactose, which can be further improved in by extensive process optimization and strain development.…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 89%

Lactose-assimilating yeasts with high fatty acid accumulation uncovered by untargeted bioprospecting

Persson,

Onyema,

Nwafor

et al. 2024

Preprint

View full text Add to dashboard Cite

Bioprospecting can uncover new yeast strains and species with valuable biotechnological and industrial traits, such as the capacity to convert different carbon sources in industrial side- and waste streams into bioproducts. In this study, we conducted untargeted bioprospecting in tropical West Africa, collecting 1996 isolates and determining their growth in 70 different environments. While the collection contains numerous isolates with the potential to assimilate several cost-effective and sustainable carbon and nitrogen sources, we focused on characterizing strains capable of growing on lactose, the main carbon source in the abundant side stream cheese whey from dairy industries. Our screening identified 30 different species capable of growing on lactose in both synthetic complete yeast medium and whey, with 20 of these also capable of growth in lactose-containing minimal medium. The lactose-assimilating yeast collection contains both ascomycetes and basidiomycetes, and includes species known to be lactose-assimilating, species not previously known to grow on lactose, and candidates for new species. Observed differences in growth profiles and ratios of intra- and extracellular lactase activities suggest that the yeasts use a range of different strategies to metabolize lactose. Notably, several basidiomycetes, including Apiotrichum mycotoxinivorans, Papiliotrema laurentii and Moesziomyces antarcticus, which accumulated up to 40% of their cell dry weight, proving that they can convert lactose into a bioproduct of significant biotechnology interest. Our findings highlight the value of bioprospecting of underexplored regions to discover yeast strains with substantial biotechnological potential, which may aid the transition to a circular bioeconomy.

show abstract

Section: Conclusion and Future Perspectivesmentioning

confidence: 89%

Lactose-assimilating yeasts with high fatty acid accumulation uncovered by untargeted bioprospecting

Persson,

Onyema,

Nwafor

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Evaluating the Genome-Based Average Nucleotide Identity Calculation for Identification of Twelve Yeast Species

Cortimiglia,

Alonso-Del-Real,

Belloso Daza

et al. 2024

JoF

View full text Add to dashboard Cite

Classifying a yeast strain into a recognized species is not always straightforward. Currently, the taxonomic delineation of yeast strains involves multiple approaches covering phenotypic characteristics and molecular methodologies, including genome-based analysis. The aim of this study was to evaluate the suitability of the Average Nucleotide Identity (ANI) calculation through FastANI, a tool created for bacterial species identification, for the assignment of strains to some yeast species. FastANI, the alignment of in silico-extracted D1/D2 sequences of LSU rRNA, and multiple alignments of orthologous genes (MAOG) were employed to analyze 644 assemblies from 12 yeast genera, encompassing various species, and on a dataset of hybrid Saccharomyces species. Overall, the analysis showed high consistency between results obtained with FastANI and MAOG, although, FastANI proved to be more discriminating than the other two methods applied to genomic sequences. In particular, FastANI was effective in distinguishing between strains belonging to different species, defining clear boundaries between them (cutoff: 94–96%). Our results show that FastANI is a reliable method for attributing a known yeast species to a particular strain. Moreover, although hybridization events make species discrimination more complex, it was revealed to be useful in the identification of these cases. We suggest its inclusion as a key component in a comprehensive approach to species delineation. Using this approach with a larger number of yeasts would validate it as a rapid technique to identify yeasts based on whole genome sequences.

show abstract

Genome Analysis of a Newly Discovered Yeast Species, Hanseniaspora menglaensis

Cited by 2 publications

References 67 publications

Lactose-assimilating yeasts with high fatty acid accumulation uncovered by untargeted bioprospecting

Lactose-assimilating yeasts with high fatty acid accumulation uncovered by untargeted bioprospecting

Evaluating the Genome-Based Average Nucleotide Identity Calculation for Identification of Twelve Yeast Species

Contact Info

Product

Resources

About