Evidence map›Paper›PMID 31889226›Full record

ArticleRice (New York, N.Y.)2019

Genome-Wide Association Analysis Dissects the Genetic Basis of the Grain Carbon and Nitrogen Contents in Milled Rice.

Liang Tang, Fan Zhang, Anjin Liu, Jian Sun, Song Mei, Xin Wang, Zhongyuan Liu, Wanying Liu, Qing Lu, Shuangjie Chen

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. The genetic basis of grain protein content in rice by genome-wide association analysis.Molecular breeding : new strategies in plant improvement · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Review
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 2 institutions in 1 country.

Liang TangRice Research Institute, Shenyang Agricultural University, Shenyang, 110866, China. tangliang@syau.edu.cn.
Fan ZhangInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, 12 South Zhong-Guan-Cun Street, Haidian District, Beijing, 100081, China. zhangfan03@caas.cn.ORCID http://orcid.org/0000-0003-0315-4008
Anjin LiuRice Research Institute, Shenyang Agricultural University, Shenyang, 110866, China.
Jian SunRice Research Institute, Shenyang Agricultural University, Shenyang, 110866, China.
Song MeiInstitute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, 12 South Zhong-Guan-Cun Street, Haidian District, Beijing, 100081, China.
Xin WangRice Research Institute, Shenyang Agricultural University, Shenyang, 110866, China.
Zhongyuan LiuRice Research Institute, Shenyang Agricultural University, Shenyang, 110866, China.
Wanying LiuRice Research Institute, Shenyang Agricultural University, Shenyang, 110866, China.
Qing LuRice Research Institute, Shenyang Agricultural University, Shenyang, 110866, China.
Shuangjie ChenRice Research Institute, Shenyang Agricultural University, Shenyang, 110866, China.
Shenyang Agricultural University · CNChinese Academy of Agricultural Sciences · CN

Funding

LiaoNing Revitalization Talents Program XLYC1807233National Key Research and Development Program of China 2016YFD0300504National Key Research and Development Program of China 2017YFD0100501Program for Liaoning Excellent Talents in University LR2017007
6 · The paper itself

Abstract

backgroundCarbon (C) and nitrogen (N) are two fundamental components of starch and protein, which are important determinants of grain yield and quality. The food preferences of consumers and the expected end-use of grains in different rice-growing regions require diverse varieties that differ in terms of the grain N content (GNC) and grain C content (GCC) of milled rice. Thus, it is important that quantitative trait loci (QTLs)/genes with large effects on the variation of GNC and GCC are identified in breeding programs.

resultsTo dissect the genetic basis of the variation of GNC and GCC in rice, the Dumas combustion method was used to analyze 751 diverse accessions regarding the GNC, GCC, and C/N ratio of the milled grains. The GCC and GNC differed significantly among the rice subgroups, especially between Xian/Indica (XI) and Geng/Japonica (GJ). Interestingly, in the GJ subgroup, the GNC was significantly lower in modern varieties (MV) than in landraces (LAN). In the XI subgroup, the GCC was significantly higher in MV than in LAN. One, six, and nine QTLs, with 55 suggestively associated single nucleotide polymorphisms, were detected for the GNC, GCC, and C/N ratio in three panels during a single-locus genome-wide association study (GWAS). Three of these QTLs were also identified in a multi-locus GWAS. We screened 113 candidate genes in the 16 QTLs in gene-based haplotype analyses. Among these candidate genes, LOC_Os01g06240 at qNC-1.1, LOC_Os05g33300 at qCC-5.1, LOC_Os01g04360 at qCN-1.1, and LOC_Os05g43880 at qCN-5.2 may partially explain the significant differences between the LAN and MV. These candidate genes should be cloned and may be useful for molecular breeding to rapidly improve the GNC, GCC, and C/N ratio of rice.

conclusionsOur findings represent valuable information regarding the genetic basis of the GNC and GCC and may be relevant for enhancing the application of favorable haplotypes of candidate genes for the molecular breeding of new rice varieties with specific grain N and C contents.

Indexed as

Genome-wide association study (GWAS)GermplasmGrain carbon contentGrain nitrogen contentHaplotype analysisRice (Oryza sativa L.)

Identifiers

PMID31889226
PMCPMC6937365
OpenAlexW2997974473

What OpenQuestion holds

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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.