Evidence map›Paper›PMID 29624585›Full record

ArticlePloS one2018

Genome dynamics and evolution in yeasts: A long-term yeast-bacteria competition experiment.

Nerve Zhou, Michael Katz, Wolfgang Knecht, Concetta Compagno, Jure Piškur

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. The yeasts associated with the fungus-growing termite, Macrotermes michaelseni, of Botswana: biodiversity and potential functional roles.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Article
  2. Article
  3. Antimicrobial Activity ofAntibiotics (Basel, Switzerland) · 2024
    Article
  4. Article
  5. 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

5 authors.

Nerve ZhouDepartment of Biology, Lund University, Lund, Sweden.ORCID 0000-0002-8822-1347
Michael KatzDepartment of Biology, Lund University, Lund, Sweden.
Wolfgang KnechtDepartment of Biology, Lund University, Lund, Sweden.
Concetta CompagnoDepartment of Food, Environmental and Nutritional Sciences, University of Milan, Milan, Italy.
Jure PiškurDepartment of Biology, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an enormous genetic diversity evident in modern yeasts, but our understanding of the ecological basis of such diversifications in nature remains at best fragmented so far. Here we report a long-term experiment mimicking a primordial competitive environment, in which yeast and bacteria co-exist and compete against each other. Eighteen yeasts covering a wide phylogenetic background spanning approximately 250 million years of evolutionary history were used to establish independent evolution lines for at most 130 passages. Our collection of hundreds of modified strains generated through such a rare two-species cross-kingdom competition experiment re-created the appearance of large-scale genomic rearrangements and altered phenotypes important in the diversification history of yeasts. At the same time, the methodology employed in this evolutionary study would also be a non-gene-technological method of reprogramming yeast genomes and then selecting yeast strains with desired traits. Cross-kingdom competition may therefore be a method of significant value to generate industrially useful yeast strains with new metabolic traits.

Indexed as

Evolution, MolecularGenomicsBacteriaBiological EvolutionGenome, FungalGenotypeKaryotypeMicrobial InteractionsPhenotypeYeasts

Identifiers

PMID29624585
PMCPMC5889060

What OpenQuestion holds

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Registered trials

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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.