Evidence map›Paper›PMID 21307298›Full record

ArticleGenome biology and evolution2011

Zygomycetes, microsporidia, and the evolutionary ancestry of sex determination.

Tina Koestler, Ingo Ebersberger

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
8.2field-weighted citation impact, top 3% 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

8 citing papers in PubMed, 23 citations in OpenAlex.

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  6. A consistent phylogenetic backbone for the fungi.Molecular biology and evolution · 2012
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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

2 authors at 1 institution in 1 country.

Tina KoestlerCenter for Integrative Bioinformatics Vienna, University of Vienna, Medical University of Vienna, University of Veterinary Medicine Vienna, Vienna, Austria.
Ingo Ebersberger
University of Veterinary Medicine Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zygomycetes and their alleged sister taxon, the microsporidia, exclusively share the presence of a cluster of three genes encoding a sugar transporter, a high mobility group (HMG)-type transcription factor, and an RNA helicase. In zygomycetes, the HMG-type transcription factor acts as the sole sex determinant. This intimately ties the evolutionary history of this gene cluster to the evolution of sex determination. Here, we have unraveled the relationships of the two gene clusters by vicariously analyzing the sugar transporters and the RNA helicases. We show that if the two gene clusters share a common ancestry, it dates back to the early days of eukaryotic evolution. As a consequence, the zygomycete MAT locus would be old enough to represent the archetype of fungal and animal sex determination. However, the evolutionary scenario that has to be invoked is complex. An independent assembly of the two clusters deserves therefore consideration. In either case, shared ancestry or convergent evolution, the presence of the gene cluster in microsporidia and in zygomycetes represents at best a plesiomorphy. Hence, it is not phylogenetically informative. A further genome-wide reanalysis of gene order conservation reveals that gene order is not significantly more similar between microsporidia and zygomycetes than between microsporidia and any other fungal taxon or even humans. Consequently, the phylogenetic placement of microsporidia as sister to the zygomycetes needs to be reconsidered.

Indexed as

Biological EvolutionGenes, Mating Type, FungalFungal ProteinsMicrosporidiaMolecular Sequence DataPhylogenyFungal Proteins

Identifiers

PMID21307298
PMCPMC3056290
OpenAlexW2096362913

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.