Evidence map›Paper›PMID 35563126›Full record

ArticleInternational journal of molecular sciences2022

Overexpression of Rice

Satoru Maeda, Katsutomo Sasaki, Hisatoshi Kaku, Yasukazu Kanda, Norihiro Ohtsubo, Masaki Mori

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Fine Mapping and Candidate Gene Analysis of Rice Grain Length QTLInternational journal of molecular sciences · 2023
    Article
  3. 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 1 institution in 1 country.

Satoru MaedaInstitute of Agrobiological Sciences, National Agriculture and Food Research Organization (NIAS), Tsukuba 305-8602, Japan.
Katsutomo SasakiInstitute of Vegetable and Floriculture Science, National Agriculture and Food Research Organization (NIVFS), Tsukuba 305-0852, Japan.
Hisatoshi KakuInstitute of Agrobiological Sciences, National Agriculture and Food Research Organization (NIAS), Tsukuba 305-8602, Japan.
Yasukazu KandaInstitute of Agrobiological Sciences, National Agriculture and Food Research Organization (NIAS), Tsukuba 305-8602, Japan.
Norihiro OhtsuboInstitute of Vegetable and Floriculture Science, National Agriculture and Food Research Organization (NIVFS), Tsukuba 305-0852, Japan.
Masaki MoriInstitute of Agrobiological Sciences, National Agriculture and Food Research Organization (NIAS), Tsukuba 305-8602, Japan.ORCID 0000-0001-8093-8848
National Agriculture and Food Research Organization · JP

Funding

Japan Society for the Promotion of Science JP20H02953NARO Bio-oriented Technology Research Advancement Institution 29004A
6 · The paper itself

Abstract

Plant pathogens evade basal defense systems and attack different organs and tissues of plants. Genetic engineering of plants with genes that confer resistance against pathogens is very effective in pathogen control. Conventional breeding for disease resistance in ornamental crops is difficult and lagging relative to that in non-ornamental crops due to an inadequate number of disease-resistant genes. Therefore, genetic engineering of these plants with defense-conferring genes is a practical approach. We used rice

Indexed as

LamialesOryzaDisease ResistanceFlowersGene Expression Regulation, PlantPlant BreedingPlant DiseasesPlants, Genetically ModifiedBotrytis cinereaBSR2disease resistanceflower sizegenetic engineeringornamental cropsRhizoctonia solanitorenia

Identifiers

PMID35563126
PMCPMC9102792
OpenAlexW4224577384

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.