Evidence map›Paper›PMID 38587574›Full record

ArticleRice (New York, N.Y.)2024

OsCRLK2, a Receptor-Like Kinase Identified by QTL Analysis, is Involved in the Regulation of Rice Quality.

Ying Chen, Hanfeng Shi, Guili Yang, Xueyu Liang, Xiaolian Lin, Siping Tan, Tao Guo, Hui Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Rice (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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.

Ying ChenNational Engineering Research Center of Plant Aerospace-mutation Breeding, South China Agricultural University, 510642, Guangzhou, China.
Hanfeng ShiNational Engineering Research Center of Plant Aerospace-mutation Breeding, South China Agricultural University, 510642, Guangzhou, China.
Guili YangNational Engineering Research Center of Plant Aerospace-mutation Breeding, South China Agricultural University, 510642, Guangzhou, China.
Xueyu LiangNational Engineering Research Center of Plant Aerospace-mutation Breeding, South China Agricultural University, 510642, Guangzhou, China.
Xiaolian LinNational Engineering Research Center of Plant Aerospace-mutation Breeding, South China Agricultural University, 510642, Guangzhou, China.
Siping TanNational Engineering Research Center of Plant Aerospace-mutation Breeding, South China Agricultural University, 510642, Guangzhou, China.
Tao GuoNational Engineering Research Center of Plant Aerospace-mutation Breeding, South China Agricultural University, 510642, Guangzhou, China. guo.tao@vip.163.com.
Hui WangNational Engineering Research Center of Plant Aerospace-mutation Breeding, South China Agricultural University, 510642, Guangzhou, China. wanghui@scau.edu.cn.

Funding

National Rice Industry Technology System Construction CARS-01-18Technical Innovation of Efficient and Precise Mutagenesis Breeding in Rice and Breeding of High-Quality New Varieties 2022B0202060006
6 · The paper itself

Abstract

The quality of rice (Oryza sativa L) is determined by a combination of appearance, flavor, aroma, texture, storage characteristics, and nutritional composition. Rice quality directly influences acceptance by consumers and commercial value. The genetic mechanism underlying rice quality is highly complex, and is influenced by genotype, environment, and chemical factors such as starch type, protein content, and amino acid composition. Minor variations in these chemical components may lead to substantial differences in rice quality. Among these components, starch is the most crucial and influential factor in determining rice quality. In this study, quantitative trait loci (QTLs) associated with eight physicochemical properties related to the rapid viscosity analysis (RVA) profile were identified using a high-density sequence map constructed using recombinant inbred lines (RILs). Fifty-nine QTLs were identified across three environments, among which qGT6.4 was a novel locus co-located across all three environments. By integrating RNA-seq data, we identified the differentially expressed candidate gene OsCRLK2 within the qGT6.4 interval. osclrk2 mutants exhibited decreased gelatinization temperature (GT), apparent amylose content (AAC) and viscosity, and increased chalkiness. Furthermore, osclrk2 mutants exhibited downregulated expression of the majority of starch biosynthesis-related genes compared to wild type (WT) plants. In summary, OsCRLK2, which encodes a receptor-like protein kinase, appears to consistently influence rice quality across different environments. This discovery provides a new genetic resource for use in the molecular breeding of rice cultivars with improved quality.

Indexed as

Candidate geneQTLReceptor-like protein kinasesRice quality

Identifiers

PMID38587574
PMCPMC11001810

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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.