Evidence map›Paper›PMID 31795872›Full record

ArticleProceedings. Biological sciences2019

Temporally varying disruptive selection in the medium ground finch (

Marc-Olivier Beausoleil, Luke O Frishkoff, Leithen K M'Gonigle, Joost A M Raeymaekers, Sarah A Knutie, Luis F De León, Sarah K Huber, Jaime A Chaves, Dale H Clayton, Jennifer A H Koop and 4 more

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Morphological ghosts of introgression in Darwin's finch populations.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  5. 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

14 authors.

Marc-Olivier BeausoleilDepartment of Biology and Redpath Museum, McGill University, 859 Rue Sherbrooke Ouest, Montréal, Québec, Canada H3A 0C4.
Luke O FrishkoffDepartment of Biology, University of Texas at Arlington, Arlington, TX, USA.
Leithen K M'GonigleDepartment of Biological Sciences, Simon Fraser University, Burnaby BC V5A 1S6, Canada.
Joost A M RaeymaekersFaculty of Biosciences and Aquaculture, Nord University, Bodø, Norway.
Sarah A KnutieDepartment of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA.
Luis F De LeónDepartment of Biology, University of Massachusetts Boston, Boston, MA, USA.
Sarah K HuberVirginia Institute of Marine Science, College of William and Mary, Gloucester Point, VA, USA.
Jaime A ChavesColegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Quito, Pichincha, Ecuador.
Dale H ClaytonSchool of Biological Sciences, University of Utah, 257 South 1400 East, Salt Lake City, 84112 UT, USA.
Jennifer A H KoopDepartment of Biological Sciences, Northern Illinois University, 1425 W. Lincoln Hwy., DeKalb, IL 60115, USA.
Jeffrey PodosDepartment of Biology, University of Massachusetts, 221 Morrill Science Center, Amherst, MA, USA.
Diana M T SharpeDepartment of Biology, University of Massachusetts Boston, Boston, MA, USA.
Andrew P HendryDepartment of Biology and Redpath Museum, McGill University, 859 Rue Sherbrooke Ouest, Montréal, Québec, Canada H3A 0C4.
Rowan D H BarrettDepartment of Biology and Redpath Museum, McGill University, 859 Rue Sherbrooke Ouest, Montréal, Québec, Canada H3A 0C4.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disruptive natural selection within populations exploiting different resources is considered to be a major driver of adaptive radiation and the production of biodiversity. Fitness functions, which describe the relationships between trait variation and fitness, can help to illuminate how this disruptive selection leads to population differentiation. However, a single fitness function represents only a particular selection regime over a single specified time period (often a single season or a year), and therefore might not capture longer-term dynamics. Here, we build a series of annual fitness functions that quantify the relationships between phenotype and apparent survival. These functions are based on a 9-year mark-recapture dataset of over 600 medium ground finches (

Indexed as

Selection, GeneticAnimalsBeakEcuadorFinchesPhenotypeDarwin's finchesecological speciationfitness functionGalápagosselection

Identifiers

PMID31795872
PMCPMC6939253

What OpenQuestion holds

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Registered trials

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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.