Evidence map›Paper›PMID 38063928›Full record

ArticleRice (New York, N.Y.)2023

Genome- and Transcriptome-wide Association Studies to Discover Candidate Genes for Diverse Root Phenotypes in Cultivated Rice.

Shujun Wei, Ryokei Tanaka, Taiji Kawakatsu, Shota Teramoto, Nobuhiro Tanaka, Matthew Shenton, Yusaku Uga, Shiori Yabe

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 7 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 2 institutions in 1 country.

Shujun WeiInstitute of Crop Sciences, National Agriculture & Food Research Organization, Tsukuba, Ibaraki, 305-8518, Japan.
Ryokei TanakaInstitute of Crop Sciences, National Agriculture & Food Research Organization, Tsukuba, Ibaraki, 305-8518, Japan.
Taiji KawakatsuInstitute of Agrobiological Sciences, National Agriculture & Food Research Organization, Tsukuba, Ibaraki, 305-8604, Japan.
Shota TeramotoInstitute of Crop Sciences, National Agriculture & Food Research Organization, Tsukuba, Ibaraki, 305-8518, Japan.
Nobuhiro TanakaInstitute of Crop Sciences, National Agriculture & Food Research Organization, Tsukuba, Ibaraki, 305-8518, Japan.
Matthew ShentonInstitute of Crop Sciences, National Agriculture & Food Research Organization, Tsukuba, Ibaraki, 305-8518, Japan.
Yusaku UgaInstitute of Crop Sciences, National Agriculture & Food Research Organization, Tsukuba, Ibaraki, 305-8518, Japan. yuga@affrc.go.jp.
Shiori YabeInstitute of Crop Sciences, National Agriculture & Food Research Organization, Tsukuba, Ibaraki, 305-8518, Japan. syabe@affrc.go.jp.
Institute of Crop Science · JPNational Agriculture and Food Research Organization · JP

Funding

Cabinet Office, Government of Japan, Moonshot Research, and Development Program for Agriculture, Forestry, and Fisheries JPJ009237JST CREST JPMJCR17O1
6 · The paper itself

Abstract

Root system architecture plays a crucial role in nutrient and water absorption during rice production. Genetic improvement of the rice root system requires elucidating its genetic control. Genome-wide association studies (GWASs) have identified genomic regions responsible for rice root phenotypes. However, candidate gene prioritization around the peak region often suffers from low statistical power and resolution. Transcriptomics enables other statistical mappings, such as transcriptome-wide association study (TWAS) and expression GWAS (eGWAS), which improve candidate gene identification by leveraging the natural variation of the expression profiles. To explore the genes responsible for root phenotypes, we conducted GWAS, TWAS, and eGWAS for 12 root phenotypes in 57 rice accessions using 427,751 single nucleotide polymorphisms (SNPs) and the expression profiles of 16,901 genes expressed in the roots. The GWAS identified three significant peaks, of which the most significant peak responsible for seven root phenotypes (crown root length, crown root surface area, number of crown root tips, lateral root length, lateral root surface area, lateral root volume, and number of lateral root tips) was detected at 6,199,732 bp on chromosome 8. In the most significant GWAS peak region, OsENT1 was prioritized as the most plausible candidate gene because its expression profile was strongly negatively correlated with the seven root phenotypes. In addition to OsENT1, OsEXPA31, OsSPL14, OsDEP1, and OsDEC1 were identified as candidate genes responsible for root phenotypes using TWAS. Furthermore, a cis-eGWAS peak SNP was detected for OsDjA6, which showed the eighth strongest association with lateral root volume in the TWAS. The cis-eGWAS peak SNP for OsDjA6 was in strong linkage disequilibrium (LD) with a GWAS peak SNP on the same chromosome for lateral root volume and in perfect LD with another SNP variant in a putative cis-element at the 518 bp upstream of the gene. These candidate genes provide new insights into the molecular breeding of root system architecture.

Indexed as

Association mappingCandidate gene searchExpression genome-wide association studyGenetic variationGenome-wide association studyRootTranscriptome-wide association study

Identifiers

PMID38063928
PMCPMC10709265
OpenAlexW4389484046

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.