Evidence map›Paper›PMID 39221264›Full record

ArticlePeerJ2024

Assessing the opportunity for selection to impact morphological traits in crosses between two

Jorja Burch, Crystal Nava, Heath Blackmon

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2024. 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.

No citing paper in PubMed yet.

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

3 authors.

Jorja BurchBiology, Texas A&M University, College Station, Texas, United States.ORCID 0000-0002-1115-5265
Crystal NavaBiology, Texas A&M University, College Station, Texas, United States.
Heath BlackmonBiology, Texas A&M University, College Station, Texas, United States.ORCID 0000-0002-5433-4036

Funding

Integrating theory, genomics, and comparative approaches to break barriers to the understanding of genome structure and sex chromosome evolution.R35GM138098 · NIGMS · TEXAS A&M UNIVERSITY · PI BLACKMON, HEATH · 2020 to 2024
$1.8M
NIGMS NIH HHS R35 GM138098
6 · The paper itself

Abstract

Within biology, there have been long-standing goals to understand how traits impact fitness, determine the degree of adaptation, and predict responses to selection. One key step in answering these questions is to study the mode of gene action or genetic architecture of traits. The genetic architecture underlying a trait will ultimately determine whether selection can lead to a change in the phenotype. Theoretical and empirical research have shown that additive architectures are most responsive to selection. The genus

Indexed as

Crosses, GeneticPhenotypeSelection, GeneticSolanumEpistasisGenetic architectureLine cross analysisMaternal effectsSelectionSolanum

Identifiers

PMID39221264
PMCPMC11365482

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.