Evidence map›Paper›PMID 33587127›Full record

ArticleGenome biology and evolution2021

Sexual Dimorphism through the Lens of Genome Manipulation, Forward Genetics, and Spatiotemporal Sequencing.

Katja R Kasimatis, Santiago Sánchez-Ramírez, Zachary C Stevenson

Abstract read
In one paragraph

Article in Genome biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

3 authors.

Katja R KasimatisDepartment of Ecology and Evolutionary Biology, University of Toronto, Ontario, USA.
Santiago Sánchez-RamírezDepartment of Ecology and Evolutionary Biology, University of Toronto, Ontario, USA.
Zachary C StevensonInstitute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA.

Funding

Systems genomics of complex traitsR35GM131838 · NIGMS · UNIVERSITY OF OREGON · PI Patrick C. Phillips · 2019 to 2026
$2.7M
NIGMS NIH HHS R35 GM131838
6 · The paper itself

Abstract

Sexual reproduction often leads to selection that favors the evolution of sex-limited traits or sex-specific variation for shared traits. These sexual dimorphisms manifest due to sex-specific genetic architectures and sex-biased gene expression across development, yet the molecular mechanisms underlying these patterns are largely unknown. The first step is to understand how sexual dimorphisms arise across the genotype-phenotype-fitness map. The emergence of "4D genome technologies" allows for efficient, high-throughput, and cost-effective manipulation and observations of this process. Studies of sexual dimorphism will benefit from combining these technological advances (e.g., precision genome editing, inducible transgenic systems, and single-cell RNA sequencing) with clever experiments inspired by classic designs (e.g., bulked segregant analysis, experimental evolution, and pedigree tracing). This perspective poses a synthetic view of how manipulative approaches coupled with cutting-edge observational methods and evolutionary theory are poised to uncover the molecular genetic basis of sexual dimorphism with unprecedented resolution. We outline hypothesis-driven experimental paradigms for identifying genetic mechanisms of sexual dimorphism among tissues, across development, and over evolutionary time.

Indexed as

GenomicsSex CharacteristicsDirected Molecular EvolutionGene Expression ProfilingGene Expression RegulationGenome-Wide Association StudyHaplotypesPedigreeSequence Analysis, DNATranscription FactorsTranscription FactorsCRISPRexperimental evolutionlong-read sequencingsexual antagonismsingle-cell sequencing

Identifiers

PMID33587127
PMCPMC7883666

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.