Evidence map›Paper›PMID 32518274›Full record

ArticleScientific reports2020

Performance of hybrids between abiotic stress-tolerant transgenic rice and its weedy relatives under water-stressed conditions.

Kyong-Hee Nam, Do Young Kim, Ye Seul Moon, In Soon Pack, Soon-Chun Jeong, Ho Bang Kim, Chang-Gi Kim

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Kyong-Hee NamLMO research team, National Institute of Ecology, Seocheon, 33657, Republic of Korea.
Do Young KimBio-Evaluation Center, Korea Research Institute of Bioscience & Biotechnology, Cheongju, 28116, Republic of Korea.
Ye Seul MoonBio-Evaluation Center, Korea Research Institute of Bioscience & Biotechnology, Cheongju, 28116, Republic of Korea.
In Soon PackBio-Evaluation Center, Korea Research Institute of Bioscience & Biotechnology, Cheongju, 28116, Republic of Korea.
Soon-Chun JeongBio-Evaluation Center, Korea Research Institute of Bioscience & Biotechnology, Cheongju, 28116, Republic of Korea.
Ho Bang KimLife Sciences Research Institute, Biomedic Co., Ltd., Bucheon, 14548, Republic of Korea.
Chang-Gi KimBio-Evaluation Center, Korea Research Institute of Bioscience & Biotechnology, Cheongju, 28116, Republic of Korea. cgkim@kribb.re.kr.
Korea Research Institute of Bioscience and Biotechnology · KRNational Institute of Ecology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene transfer from transgenic crops to their weedy relatives may introduce undesired ecological consequences that can increase the fitness and invasiveness of weedy populations. Here, we examined the rate of gene flow from abiotic stress-tolerant transgenic rice that over-express AtCYP78A7, a gene encoding cytochrome P450 protein, to six weedy rice accessions and compared the phenotypic performance and drought tolerance of their hybrids over generations. The rate of transgene flow from AtCYP78A7-overexpressing transgenic to weedy rice varied between 0% and 0.0396%. F

Indexed as

Cytochrome P-450 Enzyme SystemGene FlowStress, PhysiologicalDroughtsHomozygoteHybridization, GeneticOryzaPhenotypePlants, Genetically ModifiedPlant ShootsPlant WeedsRepublic of KoreaCytochrome P-450 Enzyme System

Identifiers

PMID32518274
PMCPMC7283212
OpenAlexW3033814858

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.