Evidence map›Paper›PMID 33255557›Full record

ArticleGenes2020

Genome-Wide Association Study of Root System Development at Seedling Stage in Rice.

Hongjia Zhang, Mar Lar San, Seong-Gyu Jang, Ja-Hong Lee, Na-Eun Kim, Ah-Rim Lee, So-Yeon Park, Fang-Yuan Cao, Joong-Hyoun Chin, Soon-Wook Kwon

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 22 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

10 authors at 4 institutions in 2 countries.

Hongjia ZhangDepartment of Plant Bioscience, College of Natural Resources and Life Science, Pusan National University, Miryang 50463, Korea.
Mar Lar SanDepartment of Plant Bioscience, College of Natural Resources and Life Science, Pusan National University, Miryang 50463, Korea.
Seong-Gyu JangDepartment of Plant Bioscience, College of Natural Resources and Life Science, Pusan National University, Miryang 50463, Korea.
Ja-Hong LeeDepartment of Plant Bioscience, College of Natural Resources and Life Science, Pusan National University, Miryang 50463, Korea.
Na-Eun KimDepartment of Plant Bioscience, College of Natural Resources and Life Science, Pusan National University, Miryang 50463, Korea.
Ah-Rim LeeDepartment of Plant Bioscience, College of Natural Resources and Life Science, Pusan National University, Miryang 50463, Korea.
So-Yeon ParkNational Institute of Crop Science, Rural Development Administration, Miryang 50463, Korea.
Fang-Yuan CaoKey Laboratory of Silkworm and Mulberry Genetic Improvement, Ministry of Agriculture, School of Biology and Technology, Jiangsu University of Science and Technology, Zhenjiang 212008, China.
Joong-Hyoun ChinDepartment of Integrative Biological Sciences and Industry, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea.ORCID 0000-0003-3932-8639
Soon-Wook KwonDepartment of Plant Bioscience, College of Natural Resources and Life Science, Pusan National University, Miryang 50463, Korea.ORCID 0000-0002-9857-5616
Pusan National University · KRJiangsu University of Science and Technology · CNRural Development Administration · KRSejong University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Root network structure plays a crucial role in growth and development processes in rice. Longer, more branched root structures help plants to assimilate water and nutrition from soil, support robust plant growth, and improve resilience to stresses such as disease. Understanding the molecular basis of root development through screening of root-related traits in rice germplasms is critical to future rice breeding programs. This study used a small germplasm collection of 137 rice varieties chosen from the Korean rice core set (KRICE_CORE) to identify loci linked to root development. Two million high-quality single nucleotide polymorphisms (SNPs) were used as the genotype, with maximum root length (MRL) and total root weight (TRW) in seedlings used as the phenotype. Genome-wide association study (GWAS) combined with Principal Components Analysis (PCA) and Kinship matrix analysis identified four quantitative trait loci (QTLs) on chromosomes 3, 6, and 8. Two QTLs were linked to MRL and two were related to TRW. Analysis of Linkage Disequilibrium (LD) decay identified a 230 kb exploratory range for detection of candidate root-related genes. Candidates were filtered using RNA-seq data, gene annotations, and quantitative real-time PCR (qRT-PCR), and five previously characterized genes related to root development were identified, as well as four novel candidate genes. Promoter analysis of candidate genes showed that

Indexed as

Genome, PlantGenome-Wide Association StudyGenotypeHaplotypesLinkage DisequilibriumOryzaPhenotypePlant BreedingPlant RootsPolymorphism, Single NucleotidePromoter Regions, GeneticQuantitative Trait LociSeedlingsgenome-wide association study (GWAS)haplotyperoot developmentSNP

Identifiers

PMID33255557
PMCPMC7760126
OpenAlexW3107949812

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.