Evidence map›Paper›PMID 31827481›Full record

ArticleFrontiers in plant science2019

The Genome Sequence of

Joshua A Udall, Evan Long, Thiruvarangan Ramaraj, Justin L Conover, Daojun Yuan, Corrinne E Grover, Lei Gong, Mark A Arick, Rick E Masonbrink, Daniel G Peterson and 1 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Distinct evolutionary trajectories of gene duplication modes in 40 diploid cotton genomes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  9. An improved reference genome forFrontiers in plant science · 2023
    Article
  10. Comparative Genomics and Functional Studies of Putative mInternational journal of molecular sciences · 2022
    Article
  11. Evolutionary divergence of duplicated genomes in newly described allotetraploid cottons.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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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

11 authors.

Joshua A UdallCrop Germplasm Research, USDA, College Station, TX, United States.
Evan LongPlant Breeding and Genetics, Cornell University, Ithaca, NY, United States.
Thiruvarangan RamarajNational Center of Genome Resources, Santa Fe, NM, United States.
Justin L ConoverEEOB Department, Iowa State University, Ames, IA, United States.
Daojun YuanEEOB Department, Iowa State University, Ames, IA, United States.
Corrinne E GroverEEOB Department, Iowa State University, Ames, IA, United States.
Lei GongKey Laboratory of Molecular Epigenetics of the Ministry of Education, Northeast Normal University, Changchun, China.
Mark A ArickInstitute for Genomics, Biocomputing & Biotechnology, Mississippi State University, Mississippi State, MS, United States.
Rick E MasonbrinkGenome Informatics Facility, Iowa State University, Ames, IA, United States.
Daniel G PetersonInstitute for Genomics, Biocomputing & Biotechnology, Mississippi State University, Mississippi State, MS, United States.
Jonathan F WendelEEOB Department, Iowa State University, Ames, IA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the extraordinary aspects of plant genome evolution is variation in chromosome number, particularly that among closely related species. This is exemplified by the cotton genus (

Indexed as

chromosome evolutioncottonGossypieaespeciationstructural rearrangements

Identifiers

PMID31827481
PMCPMC6890844

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.