Evidence map›Paper›PMID 35762101›Full record

ArticleThe plant genome2022

Natural variation and underlying genetic loci of γ-oryzanol in Asian cultivated rice seeds.

Wenli Sun, Jin Shi, Jun Hong, Guochao Zhao, Wensheng Wang, Dabing Zhang, Wei Zhang, Jianxin Shi

Open access · goldAbstract read
In one paragraph

Article in The plant genome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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 3 institutions in 1 country.

Wenli SunJoint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong Univ., Shanghai, 200240, China.
Jin ShiJoint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong Univ., Shanghai, 200240, China.
Jun HongJoint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong Univ., Shanghai, 200240, China.
Guochao ZhaoDevelopment Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal Univ., Shanghai, 200234, China.
Wensheng WangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Dabing ZhangJoint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong Univ., Shanghai, 200240, China.
Wei ZhangJoint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong Univ., Shanghai, 200240, China.
Jianxin ShiJoint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong Univ., Shanghai, 200240, China.ORCID 0000-0002-7717-0863
Shanghai Jiao Tong University · CNChinese Academy of Agricultural Sciences · CNShanghai Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

γ-oryzanol is the most studied component in rice (Oryza sativa L.) bran oil. It is not only associated with physiological processes of rice growth and development but also grain quality that is related to human health. Previous studies focused mainly on γ-oryzanol composition and content in various rice cultivars, while its biosynthetic and regulatory pathways remain unknown. Here we present the quantitative identification of γ-oryzanol in rice seeds across 179 Asian cultivated accessions using ultra-performance liquid chromatography-time-of-flight mass spectrometry (UPLC-TOF/MS), which revealed a significant natural variation in γ-oryzanol content among these tested rice accessions. In addition, we present, for the first time, the genome-wide association study (GWAS) on rice seed γ-oryzanol, which identified 187 GWAS signal hot spots and 13 candidate genes that are associated with variable γ-oryzanol content and provided the top 10 rice haplotypes with high γ-oryzanol content for breeding. Collectively, our study provides valuable germplasms for breeding rice cultivars rich in γ-oryzanol and genetic resources for elucidating genetic and biochemical bases of variable γ-oryzanol in rice.

Indexed as

OryzaGenetic LociGenome-Wide Association StudyHumansPhenylpropionatesPlant BreedingSeedsgamma-oryzanolPhenylpropionates

Identifiers

PMID35762101
PMCPMC12807011
OpenAlexW4283652569

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.