Evidence map›Paper›PMID 31222528›Full record

ArticleRice (New York, N.Y.)2019

Dissection of the Genetic Architecture of Rice Tillering using a Genome-wide Association Study.

Su Jiang, Dan Wang, Shuangyong Yan, Shiming Liu, Bin Liu, Houxiang Kang, Guo-Liang Wang

Abstract 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  5. Article
  6. Identification of a Rice Leaf Width GeneInternational journal of molecular sciences · 2023
    Article
  7. Article
  8. Foliar Application ofPlants (Basel, Switzerland) · 2022
    Article
  9. Article
  10. Identification of One Major QTL and a Novel GenePlants (Basel, Switzerland) · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

7 authors.

Su JiangCollege of Agronomy, Hunan Agricultural University, Changsha, 410128, China.
Dan WangCollege of Agronomy, Hunan Agricultural University, Changsha, 410128, China.
Shuangyong YanTian Jin Key Laboratory of crop genetic breeding, Tianjin Crop Research Institute, Tianjin Academy of Agriculture Sciences, Tianjin, 300112, China.
Shiming LiuState Key Laboratory for Biology of Plant Diseases and Insect Pest, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Bin LiuGuangdong Key Laboratory of New Technology in Rice Breeding, Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Houxiang KangState Key Laboratory for Biology of Plant Diseases and Insect Pest, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. kanghouxiangcaas@163.com.
Guo-Liang WangState Key Laboratory for Biology of Plant Diseases and Insect Pest, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. wang.620@osu.edu.ORCID http://orcid.org/0000-0001-8877-3064

Funding

National Natural Science Foundation of China 31772120Natural Science Foundation of Jilin Province (CN) 31461143019Tianjin Science Foundation for Rice Molecular Marker System and Breeding Application 18YFZCNC91210
6 · The paper itself

Abstract

backgroundRice tiller number (TN) is one of the most important components associated with rice grain yield. Around one hundred rice TN genes have been identified, but dissecting the genetic architecture of rice TN variations remains difficult because of its complex trait and control by both major genes and quantitative trait loci (QTLs).

resultsIn this study, we used a subset of the rice diversity population II (S-RDP-II), genotyped with 700,000 single nucleotide polymorphisms (SNPs), to identify the loci associated with tiller number variations (LATNs) through a genome-wide association study (GWAS). The analysis revealed that 23 LATNs are significantly associated with TN variations. Among the 23 LATNs, eight are co-localized with previously cloned TN genes, and the remaining 15 LATNs are novel. DNA sequence analysis of the 15 novel LATNs led to the identification of five candidate genes using the accessions with extreme TN phenotypes. Genetic variations in two of the genes are mainly located in the promoter regions. qRT-PCR analysis showed that the expression levels of these two genes are also closely associated with TN variations.

conclusionsWe identified 15 novel LATNs that contribute significantly to the genetic variation of rice TN. Of these 15, the five identified TN-associated candidate genes will enhance our understanding of rice tillering and can be used as molecular markers for improving rice yield.

Indexed as

Gene expressionGenetic architectureGenome wide association studyLinkage disequilibriumRiceSingle nucleotide polymorphismTiller number

Identifiers

PMID31222528
PMCPMC6586736

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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.