Evidence map›Paper›PMID 38096411›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Joseph P Gallagher, Jarrett Man, Adriana Chiaramida, Isabella K Rozza, Erin L Patterson, Morgan M Powell, Amanda Schrager-Lavelle, Dilbag S Multani, Robert B Meeley, Madelaine E Bartlett

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

10 authors at 4 institutions in 1 country.

Joseph P GallagherBiology Department, University of Massachusetts, Amherst, MA 01003.ORCID 0000-0003-0378-7112
Jarrett ManBiology Department, University of Massachusetts, Amherst, MA 01003.
Adriana ChiaramidaBiology Department, University of Massachusetts, Amherst, MA 01003.
Isabella K RozzaBiology Department, University of Massachusetts, Amherst, MA 01003.
Erin L PattersonBiology Department, University of Massachusetts, Amherst, MA 01003.
Morgan M PowellBiology Department, University of Massachusetts, Amherst, MA 01003.
Amanda Schrager-LavelleBiology Department, University of Massachusetts, Amherst, MA 01003.
Dilbag S MultaniCorteva Agriscience, Johnston, IA 50131.
Robert B MeeleyCorteva Agriscience, Johnston, IA 50131.
Madelaine E BartlettBiology Department, University of Massachusetts, Amherst, MA 01003.ORCID 0000-0002-0369-8606
University of Massachusetts Amherst · USAgricultural Research Service · USCorteva (United States) · USWilmington University · US

Funding

National Science Foundation (NSF) IOS-1652380U.S. Department of Agriculture (USDA) 2019-67012- 29654
6 · The paper itself

Abstract

Crop engineering and de novo domestication using gene editing are new frontiers in agriculture. However, outside of well-studied crops and model systems, prioritizing engineering targets remains challenging. Evolution can guide us, revealing genes with deeply conserved roles that have repeatedly been selected in the evolution of plant form. Homologs of the transcription factor genes

Indexed as

ArabidopsisFlowersGene Expression Regulation, PlantPhenotypePlant ProteinsPlant Proteinsevo-devoHD-ZIP transcription factorsinflorescence developmentsex determinationtillering

Identifiers

PMID38096411
PMCPMC10742383
OpenAlexW4389723104

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.