Evidence map›Paper›PMID 30853963›Full record

ArticleFrontiers in plant science2019

Crassulacean Acid Metabolism Abiotic Stress-Responsive Transcription Factors: a Potential Genetic Engineering Approach for Improving Crop Tolerance to Abiotic Stress.

Atia B Amin, Kumudu N Rathnayake, Won C Yim, Travis M Garcia, Beate Wone, John C Cushman, Bernard W M Wone

Open access · goldAbstract 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
7.3field-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

16 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Engineering Crassulacean Acid Metabolism in CCold Spring Harbor perspectives in biology · 2024
    Review
  8. Review
  9. Review
  10. Defining Mechanisms of CInternational journal of molecular sciences · 2023
    Review
  11. Article
  12. Following the organism to map synthetic genomics.Biotechnology notes (Amsterdam, Netherlands) · 2022
    Article
  13. Article
  14. Biosystems Design to Accelerate CBiodesign research · 2020
    Review
  15. Review
  16. Review
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 at 2 institutions in 1 country.

Atia B AminDepartment of Biology, University of South Dakota, Vermillion, SD, United States.
Kumudu N RathnayakeDepartment of Biology, University of South Dakota, Vermillion, SD, United States.
Won C YimDepartment of Biochemistry and Molecular Biology, University of Nevada, Reno, Reno, NV, United States.
Travis M GarciaDepartment of Biochemistry and Molecular Biology, University of Nevada, Reno, Reno, NV, United States.
Beate WoneDepartment of Biology, University of South Dakota, Vermillion, SD, United States.
John C CushmanDepartment of Biochemistry and Molecular Biology, University of Nevada, Reno, Reno, NV, United States.
Bernard W M WoneDepartment of Biology, University of South Dakota, Vermillion, SD, United States.
University of South Dakota · USUniversity of Nevada, Reno · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This perspective paper explores the utilization of abiotic stress-responsive transcription factors (TFs) from crassulacean acid metabolism (CAM) plants to improve abiotic stress tolerance in crop plants. CAM is a specialized type of photosynthetic adaptation that enhances water-use efficiency (WUE) by shifting CO

Indexed as

abiotic stress responsecrassulacean acid metabolismdrought toleranceextremophytesgenetic engineeringtranscription factor

Identifiers

PMID30853963
PMCPMC6395430
OpenAlexW2918135497

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.