Evidence map›Paper›PMID 37156506›Full record

SynthesisIntegrative and comparative biology2023

Multivariate Models of Animal Sex: Breaking Binaries Leads to a Better Understanding of Ecology and Evolution.

J F McLaughlin, Kinsey M Brock, Isabella Gates, Anisha Pethkar, Marcus Piattoni, Alexis Rossi, Sara E Lipshutz

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Integrative and comparative biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
49.7field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. The lived experience of trans persons: a bottom-up review co-written by experts by experience and academics.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
    Article
  3. LGBTQ+ Realities in the Biological Sciences.CBE life sciences education · 2026
    Article
  4. Claims of sex-dependent effects in the behavioral and brain sciences are infrequently supported by valid statistical comparisons.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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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

7 authors at 4 institutions in 1 country.

J F McLaughlinDepartment of Environmental Science, Policy, and Management, College of Natural Resources, University of California, Berkeley, CA 94720, USA.
Kinsey M BrockDepartment of Environmental Science, Policy, and Management, College of Natural Resources, University of California, Berkeley, CA 94720, USA.
Isabella GatesDepartment of Biology, Loyola University Chicago, Chicago, IL 60660, USA.
Anisha PethkarDepartment of Biology, Loyola University Chicago, Chicago, IL 60660, USA.
Marcus PiattoniDepartment of Biology, Loyola University Chicago, Chicago, IL 60660, USA.
Alexis RossiDepartment of Biology, Loyola University Chicago, Chicago, IL 60660, USA.
Sara E LipshutzDepartment of Biology, Loyola University Chicago, Chicago, IL 60660, USA.ORCID 0000-0002-9816-2977
Loyola University Chicago · USDuke University · USMuseum of Vertebrate Zoology · USUniversity of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

"Sex" is often used to describe a suite of phenotypic and genotypic traits of an organism related to reproduction. However, these traits-gamete type, chromosomal inheritance, physiology, morphology, behavior, etc.-are not necessarily coupled, and the rhetorical collapse of variation into a single term elides much of the complexity inherent in sexual phenotypes. We argue that consideration of "sex" as a constructed category operating at multiple biological levels opens up new avenues for inquiry in our study of biological variation. We apply this framework to three case studies that illustrate the diversity of sex variation, from decoupling sexual phenotypes to the evolutionary and ecological consequences of intrasexual polymorphisms. We argue that instead of assuming binary sex in these systems, some may be better categorized as multivariate and nonbinary. Finally, we conduct a meta-analysis of terms used to describe diversity in sexual phenotypes in the scientific literature to highlight how a multivariate model of sex can clarify, rather than cloud, studies of sexual diversity within and across species. We argue that such an expanded framework of "sex" better equips us to understand evolutionary processes, and that as biologists, it is incumbent upon us to push back against misunderstandings of the biology of sexual phenotypes that enact harm on marginalized communities.

Indexed as

Biological EvolutionReproductionAnimalsEcologyPhenotypePolymorphism, Genetic

Identifiers

PMID37156506
PMCPMC10563656
OpenAlexW4375851746

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.