Evidence map›Paper›PMID 32585769›Full record

ArticleMolecular ecology2020

Moulded by humans: The domestication of blue-veined cheese fungi.

Brigida Gallone, Jan Steensels, Kevin J Verstrepen

Open access · hybridAbstract readNewsComment
PubMed Publisher
In one paragraph

Article in Molecular ecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 36% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Brigida GalloneVIB - KU Leuven Center for Microbiology, Leuven, Belgium.ORCID 0000-0003-3045-5949
Jan SteenselsVIB - KU Leuven Center for Microbiology, Leuven, Belgium.
Kevin J VerstrepenVIB - KU Leuven Center for Microbiology, Leuven, Belgium.
VIB-KU Leuven Center for Microbiology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is hard to imagine a world without food-associated microbes. The production of bread, wine, beer, salami, coffee, chocolate, cheese and many other foods and beverages all rely on specific microbes. In cheese, myriad microbial species collaborate to yield the complex organoleptic properties that are appreciated by millions of people worldwide. In the early days of cheese making, these complex communities emerged spontaneously from the natural flora associated with the raw materials, the equipment, the production environment or craftsmen involved in the production process. However, in some cases, the microbes shifted their natural habitat to the new cheese-associated environment. The most obvious cause of this is backslopping, where part of a fermented product is used to inoculate the next batch. In addition, some microbes may simply adhere to the tools used in the production process. These microbial communities gradually adapted to the novel man-made niches, a process referred to as "domestication." Domestication is associated with specific genomic and phenotypic changes and ultimately leads to lineages that are genetically and phenotypically distinct from their wild ancestors. In this issue of Molecular Ecology, Dumas et al. have investigated a prime example of cheese-associated microbes, the fungus Penicillium roqueforti. The authors identified several hallmarks of domestication in the genome and phenome of this species, allowing them to hypothesize about the origin of blue-veined cheese fungi domestication, and the specific evolutionary processes involved in adaptation to the cheese matrix.

Indexed as

CheesePenicilliumWineDomesticationFungiHumansdomesticationfungimicrobial biologypopulation genetics - empirical

Identifiers

PMID32585769
OpenAlexW3037317985

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.