Evidence map›Paper›PMID 31787988›Full record

ArticleFrontiers in plant science2019

Transcriptome-Enabled Network Inference Revealed the

Faqiang Wu, Xiaohan Kang, Minglei Wang, Waseem Haider, William B Price, Bruce Hajek, Yoshie Hanzawa

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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Molecular breeding for improvement of photothermal adaptability in soybean.Molecular breeding : new strategies in plant improvement · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Frontiers in plant science · 2022
    Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. 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

7 authors.

Faqiang WuDepartment of Biology, California State University, Northridge, CA, United States.
Xiaohan KangDepartment of Electrical Computer Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, United States.
Minglei WangDepartment of Crop Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, United States.
Waseem HaiderDepartment of Biosciences, COMSATS University Islamabad, Pakistan.
William B PriceDepartment of Electrical Computer Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, United States.
Bruce HajekDepartment of Crop Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, United States.
Yoshie HanzawaDepartment of Biology, California State University, Northridge, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoperiodic flowering, a plant response to seasonal photoperiod changes in the control of reproductive transition, is an important agronomic trait that has been a central target of crop domestication and modern breeding programs. However, our understanding about the molecular mechanisms of photoperiodic flowering regulation in crop species is lagging behind. To better understand the regulatory gene networks controlling photoperiodic flowering of soybeans, we elucidated global gene expression patterns under different photoperiod regimes using the near isogenic lines (NILs) of maturity loci (

Indexed as

feedforward loopGlycine maxnetwork inferencephotoperiodic floweringtranscriptome

Identifiers

PMID31787988
PMCPMC6856076

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.