Evidence map›Paper›PMID 28794258›Full record

ArticlePlant physiology2017

Genetic Architecture and Molecular Networks Underlying Leaf Thickness in Desert-Adapted Tomato

Viktoriya Coneva, Margaret H Frank, Maria A de Luis Balaguer, Mao Li, Rosangela Sozzani, Daniel H Chitwood

Open access · bronzeAbstract read
In one paragraph

Article in Plant physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
7.1field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Seed priming withHeliyon · 2024
    Article
  4. Leaf thickness of barley: genetic dissection, candidate genes prediction and its relationship with yield-related traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  5. Transcriptional analysis ofFrontiers in plant science · 2022
    Article
  6. Review
  7. Article
  8. Article
  9. Multiple steps of leaf thickening during sun-leaf formation in Arabidopsis.The Plant journal : for cell and molecular biology · 2019
    Article
  10. 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

6 authors at 2 institutions in 1 country.

Viktoriya ConevaDonald Danforth Plant Science Center, St. Louis, Missouri 63132 viktoriya.coneva@gmail.com dhchitwood@gmail.com.ORCID http://orcid.org/0000-0002-0640-5135
Margaret H FrankDonald Danforth Plant Science Center, St. Louis, Missouri 63132.
Maria A de Luis BalaguerDepartment of Plant and Microbial Biology, North Carolina State University, Raleigh, North Carolina 27695.
Mao LiDonald Danforth Plant Science Center, St. Louis, Missouri 63132.
Rosangela SozzaniDepartment of Plant and Microbial Biology, North Carolina State University, Raleigh, North Carolina 27695.ORCID http://orcid.org/0000-0002-5964-1764
Daniel H ChitwoodDonald Danforth Plant Science Center, St. Louis, Missouri 63132 viktoriya.coneva@gmail.com dhchitwood@gmail.com.ORCID http://orcid.org/0000-0003-4875-1447
Donald Danforth Plant Science Center · USNorth Carolina State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thicker leaves allow plants to grow in water-limited conditions. However, our understanding of the genetic underpinnings of this highly functional leaf shape trait is poor. We used a custom-built confocal profilometer to directly measure leaf thickness in a set of introgression lines (ILs) derived from the desert tomato

Indexed as

Gene Regulatory NetworksAdaptation, PhysiologicalBayes TheoremDesert ClimateOrgan SpecificityPhenotypePlant LeavesQuantitative Trait LociSequence Analysis, RNASolanum

Identifiers

PMID28794258
PMCPMC5580771
OpenAlexW2952504966

What OpenQuestion holds

Textmetadata
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.