Evidence map›Paper›PMID 27744274›Full record

ArticleFEMS yeast research2016

European derived Saccharomyces cerevisiae colonisation of New Zealand vineyards aided by humans.

Velimir Gayevskiy, Soon Lee, Matthew R Goddard

Abstract read
In one paragraph

Article in FEMS yeast research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Colonization of vineyards by non-bioRxiv : the preprint server for biology · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Culturable Yeast Diversity of Grape Berries fromJournal of fungi (Basel, Switzerland) · 2022
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Sulfur dioxide resistance inMicrobial cell (Graz, Austria) · 2019
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Velimir GayevskiySchool of Biological Sciences, The University of Auckland, Auckland 1142, New Zealand.
Soon LeeSchool of Biological Sciences, The University of Auckland, Auckland 1142, New Zealand.
Matthew R GoddardSchool of Biological Sciences, The University of Auckland, Auckland 1142, New Zealand The School of Life Sciences, The University of Lincoln, Lincoln LN6 7DL, UK m.goddard@auckland.ac.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans have acted as vectors for species and expanded their ranges since at least the dawn of agriculture. While relatively well characterised for macrofauna and macroflora, the extent and dynamics of human-aided microbial dispersal is poorly described. We studied the role which humans have played in manipulating the distribution of Saccharomyces cerevisiae, one of the world's most important microbes, using whole genome sequencing. We include 52 strains representative of the diversity in New Zealand to the global set of genomes for this species. Phylogenomic approaches show an exclusively European origin of the New Zealand population, with a minimum of 10 founder events mostly taking place over the last 1000 years. Our results show that humans have expanded the range of S. cerevisiae and transported it to New Zealand where it was not previously present, where it has now become established in vineyards, but radiation to native forests appears limited.

Indexed as

FarmsPhylogeographyGenome, FungalHumansNew ZealandSaccharomyces cerevisiaeSequence Analysis, DNAVitisgenomicsphylogenomicspopulation geneticsSaccharomyces cerevisiaeyeast

Identifiers

PMID27744274
PMCPMC5094284

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.