Evidence map›Paper›PMID 37066319›Full record

ArticlebioRxiv : the preprint server for biology2023

Independently evolved pollution resistance in four killifish populations is largely explained by few variants of large effect.

Jeffrey T Miller, Bryan W Clark, Noah M Reid, Sibel I Karchner, Jennifer L Roach, Mark E Hahn, Diane Nacci, Andrew Whitehead

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Jeffrey T MillerDepartment of Environmental Toxicology, Center for Population Biology, Coastal and Marine Sciences Institute, University of California, Davis, CA.
Bryan W ClarkUS Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling, Atlantic Coastal Environmental Sciences Division, Narragansett, RI.
Noah M ReidDepartment of Molecular & Cell Biology, University of Connecticut, Storrs, CT.
Sibel I KarchnerBiology Department, Woods Hole Oceanographic Institution, Woods Hole, MA.
Jennifer L RoachDepartment of Environmental Toxicology, Center for Population Biology, Coastal and Marine Sciences Institute, University of California, Davis, CA.
Mark E HahnBiology Department, Woods Hole Oceanographic Institution, Woods Hole, MA.
Diane NacciUS Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling, Atlantic Coastal Environmental Sciences Division, Narragansett, RI.
Andrew WhiteheadDepartment of Environmental Toxicology, Center for Population Biology, Coastal and Marine Sciences Institute, University of California, Davis, CA.
University of California, Davis · USEnvironmental Protection Agency · USWoods Hole Oceanographic Institution · USUniversity of Connecticut · US

Funding

Training CoreP42ES007381 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MONTI, STEFANO · 1995 to 2019
$46.1M
ENVIRONMENTAL TOXICOLOGYT32ES007059 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura S Van Winkle · 1985 to 2026
$7.9M
Mechanisms Controlling Sensitivity and Resistance to Dioxin-like Compounds: Role of AIPR01ES033888 · NIEHS · WOODS HOLE OCEANOGRAPHIC INSTITUTION · PI Mark E Hahn · 2022 to 2026
$3.2M
Gene-by-environment interactions that affect exposure-mediated congenital heart diseaseR01ES032323 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HAHN, MARK E, WHITEHEAD, JOHN ANDREW · 2021 to 2025
$3.1M
Mechanisms of reproductive, developmental, and early life stage impacts of marineR01ES021934 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI GALVEZ, FERNANDO, GREEN, CHRISTOPHER C · 2012 to 2015
$452k
NIEHS NIH HHS P42 ES007381NIEHS NIH HHS R01 ES021934NIEHS NIH HHS R01 ES032323NIEHS NIH HHS R01 ES033888NIEHS NIH HHS T32 ES007059
6 · The paper itself

Abstract

The genetic architecture of phenotypic traits can affect the mode and tempo of trait evolution. Human-altered environments can impose strong natural selection, where successful evolutionary adaptation requires swift and large phenotypic shifts. In these scenarios, theory predicts the influence of few adaptive variants of large effect, but empirical studies that have revealed the genetic architecture of rapidly evolved phenotypes are rare, especially for populations inhabiting polluted environments.

Indexed as

Adaptationcontemporary evolutionecological genomicsgenomics/proteomicsmolecular evolutionquantitative genetics

Identifiers

PMID37066319
PMCPMC10104127
OpenAlexW4362736139

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.