Evidence map›Paper›PMID 26938775›Full record

ArticlePLoS genetics2016

Selection on Coding and Regulatory Variation Maintains Individuality in Major Urinary Protein Scent Marks in Wild Mice.

Michael J Sheehan, Victoria Lee, Russell Corbett-Detig, Ke Bi, Robert J Beynon, Jane L Hurst, Michael W Nachman

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
17.5field-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

24 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Major urinary protein (Microbiology spectrum · 2024
    Article
  3. Article
  4. Article
  5. Unraveling female communication through scent marks in the Norway rat.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Coding of pheromones by vomeronasal receptors.Cell and tissue research · 2021
    Review
  13. Article
  14. Evolutionarily stable investments in recognition systems explain patterns of discrimination failure and success.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  15. Coevolution of cognitive abilities and identity signals in individual recognition systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Signal function drives phenotypic and genetic diversity: the effects of signalling individual identity, quality or behavioural strategy.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
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 5 institutions in 2 countries.

Michael J SheehanNeurobiology and Behavior, Cornell University, Ithaca, New York, United States of America.
Victoria LeeCentre for Proteome Research, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
Russell Corbett-DetigIntegrative Biology, University of California, Berkeley, Berkeley, California, United States of America.
Ke BiMuseum of Vertebrate Zoology, University of California, Berkeley, Berkeley, California, United States of America.
Robert J BeynonCentre for Proteome Research, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
Jane L HurstMammalian Behaviour and Evolution Group, Institute of Integrative Biology, University of Liverpool, Leahurst Campus, Neston, United Kingdom.
Michael W NachmanMuseum of Vertebrate Zoology, University of California, Berkeley, Berkeley, California, United States of America.
University of Liverpool · GBMuseum of Vertebrate Zoology · USQB3 · USUniversity of Arizona · USUniversity of California, Berkeley · US

Funding

Natural selection and DNA sequence variation in MusR01GM074245 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI NACHMAN, MICHAEL W. · 2005 to 2015
$3.0M
Evolution of individually distinctive major urinary protein profiles in the houseF32GM101863 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SHEEHAN, MICHAEL J · 2012 to 2014
$146k
Biotechnology and Biological Sciences Research Council BB/J002631/1NIGMS NIH HHS F32 GM101863NIGMS NIH HHS R01 GM074245
6 · The paper itself

Abstract

Recognition of individuals by scent is widespread across animal taxa. Though animals can often discriminate chemical blends based on many compounds, recent work shows that specific protein pheromones are necessary and sufficient for individual recognition via scent marks in mice. The genetic nature of individuality in scent marks (e.g. coding versus regulatory variation) and the evolutionary processes that maintain diversity are poorly understood. The individual signatures in scent marks of house mice are the protein products of a group of highly similar paralogs in the major urinary protein (Mup) gene family. Using the offspring of wild-caught mice, we examine individuality in the major urinary protein (MUP) scent marks at the DNA, RNA and protein levels. We show that individuality arises through a combination of variation at amino acid coding sites and differential transcription of central Mup genes across individuals, and we identify eSNPs in promoters. There is no evidence of post-transcriptional processes influencing phenotypic diversity as transcripts accurately predict the relative abundance of proteins in urine samples. The match between transcripts and urine samples taken six months earlier also emphasizes that the proportional relationships across central MUP isoforms in urine is stable. Balancing selection maintains coding variants at moderate frequencies, though pheromone diversity appears limited by interactions with vomeronasal receptors. We find that differential transcription of the central Mup paralogs within and between individuals significantly increases the individuality of pheromone blends. Balancing selection on gene regulation allows for increased individuality via combinatorial diversity in a limited number of pheromones.

Indexed as

AnimalsGenetic VariationIndividualityMiceOpen Reading FramesPheromonesPolymorphism, Single NucleotideProteinsRegulatory Sequences, Nucleic AcidUrinemajor urinary proteinsPheromonesProteins

Identifiers

PMID26938775
PMCPMC4777540
OpenAlexW2291687474

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.