Evidence map›Paper›PMID 34356100›Full record

ReviewGenes2021

How Important Are Structural Variants for Speciation?

Linyi Zhang, Radka Reifová, Zuzana Halenková, Zachariah Gompert

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
9.4field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 75 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Linyi ZhangDepartment of Biology, Utah State University, Logan, UT 84322, USA.
Radka ReifováDepartment of Zoology, Faculty of Science, Charles University, 12800 Prague, Czech Republic.
Zuzana HalenkováDepartment of Zoology, Faculty of Science, Charles University, 12800 Prague, Czech Republic.ORCID 0000-0002-8550-1693
Zachariah GompertDepartment of Biology, Utah State University, Logan, UT 84322, USA.
Charles University · CZUtah State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the genetic basis of reproductive isolation is a central issue in the study of speciation. Structural variants (SVs); that is, structural changes in DNA, including inversions, translocations, insertions, deletions, and duplications, are common in a broad range of organisms and have been hypothesized to play a central role in speciation. Recent advances in molecular and statistical methods have identified structural variants, especially inversions, underlying ecologically important traits; thus, suggesting these mutations contribute to adaptation. However, the contribution of structural variants to reproductive isolation between species-and the underlying mechanism by which structural variants most often contribute to speciation-remain unclear. Here, we review (i) different mechanisms by which structural variants can generate or maintain reproductive isolation; (ii) patterns expected with these different mechanisms; and (iii) relevant empirical examples of each. We also summarize the available sequencing and bioinformatic methods to detect structural variants. Lastly, we suggest empirical approaches and new research directions to help obtain a more complete assessment of the role of structural variants in speciation.

Indexed as

Species SpecificityAdaptation, PhysiologicalAnimalsBiological EvolutionEvolution, MolecularGenomic Structural VariationHumansPhenotypeReproductive Isolationhybridizationreproductive isolationsuppressed recombination

Identifiers

PMID34356100
PMCPMC8305853
OpenAlexW3185785751

What OpenQuestion holds

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LicenceCC BY
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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.