Evidence map›Paper›PMID 38731885›Full record

ArticleInternational journal of molecular sciences2024

New Insights into the Genetic Basis of Lysine Accumulation in Rice Revealed by Multi-Model GWAS.

Liqiang He, Yao Sui, Yanru Che, Lihua Liu, Shuo Liu, Xiaobing Wang, Guangping Cao

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

7 authors.

Liqiang HeSchool of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China.
Yao SuiSchool of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China.
Yanru CheSchool of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China.
Lihua LiuSchool of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China.
Shuo LiuSchool of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China.
Xiaobing WangInstitute of Tropical Crop Genetic Resources, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China.
Guangping CaoHainan Key Laboratory of Crop Genetics and Breeding, Institute of Food Crops, Hainan Academy of Agricultural Sciences, Haikou 571100, China.

Funding

Hainan Provincial Natural Science Foundation of China No. 321RC1026Hainan Provincial Natural Science Foundation of China No. 322QN392Hainan Provincial Natural Science Foundation of China No. 323RC422Hainan University Startup Fund KYQD(ZR)-21027Talent Start-up Funding of Hainan Academy of Agricultural Sciences HAAS2023RCQD22
6 · The paper itself

Abstract

Lysine is an essential amino acid that cannot be synthesized in humans. Rice is a global staple food for humans but has a rather low lysine content. Identification of the quantitative trait nucleotides (QTNs) and genes underlying lysine content is crucial to increase lysine accumulation. In this study, five grain and three leaf lysine content datasets and 4,630,367 single nucleotide polymorphisms (SNPs) of 387 rice accessions were used to perform a genome-wide association study (GWAS) by ten statistical models. A total of 248 and 71 common QTNs associated with grain/leaf lysine content were identified. The accuracy of genomic selection/prediction RR-BLUP models was up to 0.85, and the significant correlation between the number of favorable alleles per accession and lysine content was up to 0.71, which validated the reliability and additive effects of these QTNs. Several key genes were uncovered for fine-tuning lysine accumulation. Additionally, 20 and 30 QTN-by-environment interactions (QEIs) were detected in grains/leaves. The QEI-sf0111954416 candidate gene

Indexed as

Genome-Wide Association StudyLysineOryzaPolymorphism, Single NucleotideQuantitative Trait LociEdible GrainGene-Environment InteractionPhenotypeLysinefree lysine contentgenegenome-wide association studygenomic selection/predictionQTN-by-environment interactionquantitative trait nucleotiderice

Identifiers

PMID38731885
PMCPMC11083390

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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.