Evidence map›Paper›PMID 33867868›Full record

ArticleBioscience2021

Nothing in Evolution Makes Sense Except in the Light of Biology.

Martha O Burford Reiskind, Michael L Moody, Daniel I Bolnick, Charles T Hanifin, Caroline E Farrior

Abstract read
In one paragraph

Article in Bioscience, 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. Review
  2. Review
  3. Article
  4. Genetic basis of speciation and adaptation: from loci to causative mutations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Martha O Burford ReiskindDepartment of Biological Sciences and the director of the Genetic and Genomic Scholars graduate program, North Carolina State University, Raleigh, North Carolina, United States.ORCID https://orcid.org/0000-0001-6826-9215
Michael L MoodyDepartment of Biological Sciences and director of Herbarium UTEP, University of Texas, El Paso, El Paso, Texas, United States.
Daniel I BolnickUniversity of Connecticut, Mansfield, Connecticut, United States, and editor-in-chief of The American Naturalist, Chicago, Illinois, United States.
Charles T HanifinUtah State University, Logan, Utah, United States.
Caroline E FarriorUniversity of Texas at Austin, Austin, Texas, United States, The author order was determined by a random number generator.

Funding

Reciprocal genetics of recently-evolved vertebrate immunity and peritoneal helminth counter-adaptationR01AI123659 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI Daniel Imara Bolnick · 2017 to 2026
$3.8M
6 · The paper itself

Abstract

A key question in biology is the predictability of the evolutionary process. If we can correctly predict the outcome of evolution, we may be better equipped to anticipate and manage species' adaptation to climate change, habitat loss, invasive species, or emerging infectious diseases, as well as improve our basic understanding of the history of life on Earth. In the present article, we ask the questions when, why, and if the outcome of future evolution is predictable. We first define predictable and then discuss two conflicting views: that evolution is inherently unpredictable and that evolution is predictable given the ability to collect the right data. We identify factors that generate unpredictability, the data that might be required to make predictions at some level of precision or at a specific timescale, and the intellectual and translational value of understanding when prediction is or is not possible.

Indexed as

adaptive evolutionevolutionpopulation geneticspredictabilityquantitative geneticsreintegrating biology

Identifiers

PMID33867868
PMCPMC8038875

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.