Evidence map›Paper›PMID 37907655›Full record

ArticleRice (New York, N.Y.)2023

GWAS Combined with WGCNA of Transcriptome and Metabolome to Excavate Key Candidate Genes for Rice Anaerobic Germination.

Dandan Li, Kai Liu, Chuanchao Zhao, Siyi Liang, Jing Yang, Ziai Peng, Aoyun Xia, Meng Yang, Lixin Luo, Cuihong Huang and 6 more

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
7.5field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Differences in Nutritional Composition ofJournal of fungi (Basel, Switzerland) · 2026
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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

16 authors at 1 institution in 1 country.

Dandan Li *National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Kai Liu *National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Chuanchao ZhaoNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Siyi LiangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Jing YangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Ziai PengNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Aoyun XiaNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Meng YangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Lixin LuoNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Cuihong HuangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Jiafeng WangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Ming HuangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Wuming XiaoNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Hui WangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Ling SuNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China. LingSu2nlx@163.com.
Tao GuoNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China. guo.tao@vip.163.com.
South China Agricultural University · CN

Funding

The earmarked fund for China Agriculture Research System No. CARS-01-17The Innovation Team Project of General Colleges and Universities in Guangdong Province No. 2021KCXTD029The National Key Research and Development Project No. 2017YFD0100104
6 · The paper itself

Abstract

Direct seeding of rice is a lightweight and simple cultivation method, which can effectively promote rice production. Anaerobic germination tolerance is one of the main traits of rice adaptability to direct seeding. The mining of related genetic loci, analysis of anaerobic traits and screening of tolerance genes provided valuable genetic resources for improving the anaerobic germination ability of direct seeding rice. This study conducted a dynamic genome-wide association study (GWAS) based on coleoptile-related traits of 591 rice natural populations, and a total of 317 SNP sites were detected. Integrated dynamic widely targeted metabolomics analysis, we found that xanthine, L-alanine and GABA may be key biomarkers that are sensitive and respond strongly to hypoxic stress perception. By WGCNA analysis of targeted metabolomics and transcriptomics, a total of 3 modules were obtained that were significantly correlated with the above three marker metabolites, namely dark green, dark gray and light green modules, respectively, and several key structural genes of OsAlaAT1, OsGAD4, OsAAH and Os09g0424600 that may affect hypoxic germination were screened from the 3 modules. Among them, OsAlaAT1 (Os10g0390500), located in Chr10-12877840, which is within the GWAS location range of CVAN3d, is considered to be a more reliable candidate gene. Overall, in addition to providing new insight into the metabolic regulation of L-alanine, GABA and xanthine during hypoxic germination of rice. This study also provided a reference for the basic theoretical research and breeding application research on the related traits of anaerobic germination in direct-seeding rice.

Indexed as

Anaerobic germinationGenome-wide association analysis (GWAS)MetabolomicsRiceTranscriptomicsWGCNA

Identifiers

PMID37907655
PMCPMC10618154
OpenAlexW4388074181

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.