Evidence map›Paper›PMID 35958208›Full record

ArticleFrontiers in plant science2022

Genome-Scale Profiling and High-Throughput Analyses Unravel the Genetic Basis of Arsenic Content Variation in Rice.

Sang-Beom Lee, Gyeong-Jin Kim, Jung-Du Shin, Woojin Chung, Soo-Kwon Park, Geun-Hyoung Choi, Sang-Won Park, Yong-Jin Park

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. 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
0.6field-weighted citation impact, top 37% 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, 5 citations in OpenAlex.

  1. Rice Adaptation to Abiotic Stresses Caused by Soil Inorganic Elements.International journal of molecular sciences · 2025
    Review
  2. 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

8 authors at 5 institutions in 1 country.

Sang-Beom LeeCrop Foundation Research Division, National Institute of Crop Science, Wanju, South Korea.
Gyeong-Jin KimResidual Agrochemical Assessment Division, National Institute of Agriculture Science, Wanju, South Korea.
Jung-Du ShinBio-Technology of Multidisciplinary Sciences Co., Wanju, South Korea.
Woojin ChungDepartment of Environmental Energy Engineering, Kyonggi University, Suwon, South Korea.
Soo-Kwon ParkCrop Foundation Research Division, National Institute of Crop Science, Wanju, South Korea.
Geun-Hyoung ChoiResidual Agrochemical Assessment Division, National Institute of Agriculture Science, Wanju, South Korea.
Sang-Won ParkReserch Policy Bureau, Rural Development Administration, Wanju, South Korea.
Yong-Jin ParkDepartment of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan, South Korea.
Rural Development Administration · KRKongju National University · KRBio-Medical Science (South Korea) · KRKyonggi University · KRNational Institute of Agricultural Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ionomics, the study of the composition of mineral nutrients and trace elements in organisms that represent the inorganic component of cells and tissues, has been widely studied to explore to unravel the molecular mechanism regulating the elemental composition of plants. However, the genetic factors of rice subspecies in the interaction between arsenic and functional ions have not yet been explained. Here, the correlation between As and eight essential ions in a rice core collection was analyzed, taking into account growing condition and genetic factors. The results demonstrated that the correlation between As and essential ions was affected by genetic factors and growing condition, but it was confirmed that the genetic factor was slightly larger with the heritability for arsenic content at 53%. In particular, the cluster coefficient of

Indexed as

arsenicco-expression networkeQTLsionomicstranscriptome-wide association studies

Identifiers

PMID35958208
PMCPMC9361212
OpenAlexW4285731112

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.