Evidence map›Paper›PMID 29434349›Full record

ReviewNature ecology & evolution2018

Genomic tools for behavioural ecologists to understand repeatable individual differences in behaviour.

Sarah E Bengston, Romain A Dahan, Zoe Donaldson, Steven M Phelps, Kees van Oers, Andrew Sih, Alison M Bell

Open access · greenAbstract readReview
In one paragraph

Review in Nature ecology & evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
16.3field-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

31 citing papers in PubMed, 120 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Threespine Stickleback: A Model System For Evolutionary Genomics.Annual review of genomics and human genetics · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Behavior Individuality: A Focus onFrontiers in physiology · 2021
    Review
  19. Intra-Individual Behavioural Variability: A Trait under Genetic Control.International journal of molecular sciences · 2020
    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

7 authors at 7 institutions in 2 countries.

Sarah E BengstonDepartment of BioSciences, Rice University, Houston, TX, USA. sbengsto@gmail.com.ORCID http://orcid.org/0000-0002-6362-3649
Romain A DahanSchool of Life Sciences, Arizona State University, Tempe, USA.ORCID http://orcid.org/0000-0003-1200-4298
Zoe DonaldsonDepartment of Molecular, Cellular, and Developmental Biology, and Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA.ORCID http://orcid.org/0000-0001-6699-7905
Steven M PhelpsDepartment of Integrative Biology, University of Texas Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0002-1095-361X
Kees van OersDepartment of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands.ORCID http://orcid.org/0000-0001-6984-906X
Andrew SihDepartment of Environmental Science and Policy, University of California Davis, Davis, CA, USA.ORCID http://orcid.org/0000-0001-6161-1663
Alison M BellDepartment of Animal Biology, The University of Illinois, Urbana-Champaign, Urbana, IL, USA.ORCID http://orcid.org/0000-0001-8933-8494
Arizona State University · USNetherlands Institute of Ecology · NLRice University · USThe University of Texas at Austin · USUniversity of California, Davis · USUniversity of Colorado Boulder · USUniversity of Illinois Urbana-Champaign · US

Funding

Using sticklebacks as a model for identifying genes related to risk- taking behavR01GM082937 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BELL, ALISON MARIE · 2008 to 2018
$2.9M
NIGMS NIH HHS R01 GM082937
6 · The paper itself

Abstract

Behaviour is a key interface between an animal's genome and its environment. Repeatable individual differences in behaviour have been extensively documented in animals, but the molecular underpinnings of behavioural variation among individuals within natural populations remain largely unknown. Here, we offer a critical review of when molecular techniques may yield new insights, and we provide specific guidance on how and whether the latest tools available are appropriate given different resources, system and organismal constraints, and experimental designs. Integrating molecular genetic techniques with other strategies to study the proximal causes of behaviour provides opportunities to expand rapidly into new avenues of exploration. Such endeavours will enable us to better understand how repeatable individual differences in behaviour have evolved, how they are expressed and how they can be maintained within natural populations of animals.

Indexed as

IndividualityAnimalsEcologyEthologyGenomicsMolecular Biology

Identifiers

PMID29434349
PMCPMC9437744
OpenAlexW2790913159

What OpenQuestion holds

Textmetadata
LicenceTDM
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.