Evidence map›Paper›PMID 29222496›Full record

ArticleScientific reports2017

Genome-wide and gene-based association mapping for rice eating and cooking characteristics and protein content.

Xiaoqian Wang, Yunlong Pang, Jian Zhang, Zhichao Wu, Kai Chen, Jauhar Ali, Guoyou Ye, Jianlong Xu, Zhikang Li

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Superior haplotypes for transforming crop breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  13. Identification of superior and rare haplotypes to optimize branch number in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
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  18. QTL detection for rice grain storage protein content and genetic effect verifications.Molecular breeding : new strategies in plant improvement · 2023
    Article
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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

9 authors.

Xiaoqian WangInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yunlong PangInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Jian ZhangInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Zhichao WuInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.ORCID 0000-0002-3006-043X
Kai ChenAgricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
Jauhar AliInternational Rice Research Institute, DAPO Box 777, Metro Manila, Philippines.
Guoyou YeInternational Rice Research Institute, DAPO Box 777, Metro Manila, Philippines.
Jianlong XuInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. xujlcaas@126.com.
Zhikang LiInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. zhkli1953@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice eating and cooking quality and protein content (PC) are important properties affecting consumers' preferences, nutrition and health. Linkage QTL mapping and association studies are usually applied to genetically dissect related traits, which could be further facilitated by high density SNP markers and gene annotation based on reference genome to rapid identify candidate genes associated with interested traits. Here, we carried out an association study for apparent amylose content (AC), gel consistency (GC), gelatinization temperature (GT) and PC evaluated in two environments using a diverse panel of 258 accessions from 3 K Rice Genome Project. Wide phenotypic variations were observed in this panel. Genome-wide association study using 22,488 high quality SNPs identified 19 QTL affecting the four traits. Combining gene-based association study and haplotype analyses plus functional annotation allowed us to shortlist nine candidate genes for four important QTL regions affecting AC, GC and GT, including two cloned genes (Wx and ALK), and seven novels. The research suggested that GWAS and gene-based association analysis followed by haplotype analysis is an effective way to detect candidate genes. The identified genes and QTL provided valuable sources for future functional characterization and genetic improvement of rice eating and cooking quality and PC.

Indexed as

CookingFood QualityGenome-Wide Association StudyHaplotypesOryzaPhenotypePlant ProteinsQuantitative Trait LociPlant Proteins

Identifiers

PMID29222496
PMCPMC5722854

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.