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      The geographic distributions of Saccharomyces cerevisiae and Saccharomyces paradoxus, and the potential to detect past yeast populations with ancient DNA.

      Robinson, Heather Anne

      [Thesis]. Manchester, UK: The University of Manchester; 2016.

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      Abstract

      It is acknowledged that some microbes have interrupted distributions, yet these distributions have rarely been correlated with environmental variables. The wild biogeography of the fermenting yeasts Saccharomyces cerevisiae and Saccharomyces paradoxus are explored in this study, considering multiple environmental variables as potential effectors of each species' geographical distributions. I demonstrate that summer temperatures predict maximum species distribution limits for both S. paradoxus and S. cerevisiae on oak bark, and that S. paradoxus is more likely to be isolated from larger, older trees. Modelling these data predicts a generally denser southern European population of S. paradoxus, with S. cerevisiae being scarce on oak bark throughout Europe.It was not possible to recover ancient Saccharomyces DNA sequences from samples of sub-fossilized oaks, from Greco-Roman and North African amphora residues, or from North African 6th-14th Century pottery residues, which may be a consequence of the low concentration of these species in comparable modern environmental samples. Even from air dried breads and recent wines, Saccharomyces aDNA was not recovered as part of this study, although ancient DNA sequences from plants and other yeasts were identified in other samples via the same methods. Any future recovery of ancient Saccharomyces sequences may therefore be challenging. Novel plant sequences possibly belonging to the Musaceae family and Pinus genus were identified from 6th-14th century AD North African pottery; as well as a Vicia-like DNA sequence from a 13th-12th century BC North African amphora.

      Additional content not available electronically

      All sequence data is curated in online databases by the ENA or NCBI.

      Bibliographic metadata

      Type of resource:
      Content type:
      Form of thesis:
      Type of submission:
      Degree type:
      Doctor of Philosophy
      Degree programme:
      PhD Genetics
      Publication date:
      Location:
      Manchester, UK
      Total pages:
      320
      Abstract:
      It is acknowledged that some microbes have interrupted distributions, yet these distributions have rarely been correlated with environmental variables. The wild biogeography of the fermenting yeasts Saccharomyces cerevisiae and Saccharomyces paradoxus are explored in this study, considering multiple environmental variables as potential effectors of each species' geographical distributions. I demonstrate that summer temperatures predict maximum species distribution limits for both S. paradoxus and S. cerevisiae on oak bark, and that S. paradoxus is more likely to be isolated from larger, older trees. Modelling these data predicts a generally denser southern European population of S. paradoxus, with S. cerevisiae being scarce on oak bark throughout Europe.It was not possible to recover ancient Saccharomyces DNA sequences from samples of sub-fossilized oaks, from Greco-Roman and North African amphora residues, or from North African 6th-14th Century pottery residues, which may be a consequence of the low concentration of these species in comparable modern environmental samples. Even from air dried breads and recent wines, Saccharomyces aDNA was not recovered as part of this study, although ancient DNA sequences from plants and other yeasts were identified in other samples via the same methods. Any future recovery of ancient Saccharomyces sequences may therefore be challenging. Novel plant sequences possibly belonging to the Musaceae family and Pinus genus were identified from 6th-14th century AD North African pottery; as well as a Vicia-like DNA sequence from a 13th-12th century BC North African amphora.
      Additional digital content not deposited electronically:
      All sequence data is curated in online databases by the ENA or NCBI.
      Thesis main supervisor(s):
      Thesis co-supervisor(s):
      Language:
      en

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        Manchester eScholar ID:
        uk-ac-man-scw:302492
        Created by:
        Robinson, Heather
        Created:
        22nd July, 2016, 14:35:28
        Last modified by:
        Robinson, Heather
        Last modified:
        7th September, 2016, 12:07:32

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