Evidence map›Paper›PMID 27492231›Full record

ArticleGenome biology and evolution2016

SEX-DETector: A Probabilistic Approach to Study Sex Chromosomes in Non-Model Organisms.

Aline Muyle, Jos Käfer, Niklaus Zemp, Sylvain Mousset, Franck Picard, Gabriel Ab Marais

Abstract read
In one paragraph

Article in Genome biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. An X-linked sex determination mechanism in cannabis and hop.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. TheScience (New York, N.Y.) · 2025
    Article
  9. Sex Chromosome Evolution: Hallmarks and Question Marks.Molecular biology and evolution · 2024
    Review
  10. Sexy ways: approaches to studying plant sex chromosomes.Journal of experimental botany · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Labile sex expression in angiosperm species with sex chromosomes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  18. Dosage compensation evolution in plants: theories, controversies and mechanisms.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  19. The evolution of huge Y chromosomes inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    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

6 authors.

Aline MuyleLaboratoire de Biométrie et Biologie Evolutive (UMR 5558), CNRS/Université Lyon 1, Villeurbanne, France aline.muyle@univ-lyon1.fr.
Jos KäferLaboratoire de Biométrie et Biologie Evolutive (UMR 5558), CNRS/Université Lyon 1, Villeurbanne, France.
Niklaus ZempInstitute of Integrative Biology (IBZ), ETH Zurich, Zürich, Switzerland.
Sylvain MoussetLaboratoire de Biométrie et Biologie Evolutive (UMR 5558), CNRS/Université Lyon 1, Villeurbanne, France.
Franck PicardLaboratoire de Biométrie et Biologie Evolutive (UMR 5558), CNRS/Université Lyon 1, Villeurbanne, France.
Gabriel Ab MaraisLaboratoire de Biométrie et Biologie Evolutive (UMR 5558), CNRS/Université Lyon 1, Villeurbanne, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose a probabilistic framework to infer autosomal and sex-linked genes from RNA-seq data of a cross for any sex chromosome type (XY, ZW, and UV). Sex chromosomes (especially the non-recombining and repeat-dense Y, W, U, and V) are notoriously difficult to sequence. Strategies have been developed to obtain partially assembled sex chromosome sequences. Most of them remain difficult to apply to numerous non-model organisms, either because they require a reference genome, or because they are designed for evolutionarily old systems. Sequencing a cross (parents and progeny) by RNA-seq to study the segregation of alleles and infer sex-linked genes is a cost-efficient strategy, which also provides expression level estimates. However, the lack of a proper statistical framework has limited a broader application of this approach. Tests on empirical Silene data show that our method identifies 20-35% more sex-linked genes than existing pipelines, while making reliable inferences for downstream analyses. Approximately 12 individuals are needed for optimal results based on simulations. For species with an unknown sex-determination system, the method can assess the presence and type (XY vs. ZW) of sex chromosomes through a model comparison strategy. The method is particularly well optimized for sex chromosomes of young or intermediate age, which are expected in thousands of yet unstudied lineages. Any organisms, including non-model ones for which nothing is known a priori, that can be bred in the lab, are suitable for our method. SEX-DETector and its implementation in a Galaxy workflow are made freely available.

Indexed as

Models, GeneticSoftwareAnimalsFemaleMaleProbabilitySex ChromosomesSex Determination ProcessesSileneGalaxy workflowRNA-seqsex-linked genesUVXYZW

Identifiers

PMID27492231
PMCPMC5010906

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.