Evidence map›Paper›PMID 31150378›Full record

ArticlePLoS genetics2019

A novel rice grain size gene OsSNB was identified by genome-wide association study in natural population.

Xiaosong Ma, Fangjun Feng, Yu Zhang, Ibrahim Eid Elesawi, Kai Xu, Tianfei Li, Hanwei Mei, Hongyan Liu, Ningning Gao, Chunli Chen and 2 more

Abstract read
In one paragraph

Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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  15. Article
  16. Genetic Basis of Grain Size and Weight in Rice, Wheat, and Barley.International journal of molecular sciences · 2023
    Review
  17. Review
  18. Review
  19. Article
  20. Molecular Events of Rice AP2/ERF Transcription Factors.International journal of molecular sciences · 2022
    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

12 authors.

Xiaosong MaShanghai Agrobiological Gene Center, Shanghai, China.
Fangjun FengShanghai Agrobiological Gene Center, Shanghai, China.
Yu ZhangShanghai Agrobiological Gene Center, Shanghai, China.
Ibrahim Eid ElesawiCollege of Life Science and Technology, Huazhong Agricultural University, Wuhan, China.ORCID 0000-0001-6524-7264
Kai XuShanghai Agrobiological Gene Center, Shanghai, China.ORCID 0000-0001-5955-6730
Tianfei LiShanghai Agrobiological Gene Center, Shanghai, China.ORCID 0000-0003-1601-8064
Hanwei MeiShanghai Agrobiological Gene Center, Shanghai, China.ORCID 0000-0001-6713-3623
Hongyan LiuShanghai Agrobiological Gene Center, Shanghai, China.ORCID 0000-0002-2487-0102
Ningning GaoShanghai Agrobiological Gene Center, Shanghai, China.
Chunli ChenCollege of Life Science and Technology, Huazhong Agricultural University, Wuhan, China.
Lijun LuoShanghai Agrobiological Gene Center, Shanghai, China.ORCID 0000-0002-1578-4106
Shunwu YuShanghai Agrobiological Gene Center, Shanghai, China.ORCID 0000-0001-9483-0563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing agricultural productivity is one of the most important goals of plant science research and imperative to meet the needs of a rapidly growing population. Rice (Oryza sativa L.) is one of the most important staple crops worldwide. Grain size is both a major determinant of grain yield in rice and a target trait for domestication and artificial breeding. Here, a genome-wide association study of grain length and grain width was performed using 996,722 SNP markers in 270 rice accessions. Five and four quantitative trait loci were identified for grain length and grain width, respectively. In particular, the novel grain size gene OsSNB was identified from qGW7, and further results showed that OsSNB negatively regulated grain size. Most notably, knockout mutant plants by CRISPR/Cas9 technology showed increased grain length, width, and weight, while overexpression of OsSNB yielded the opposite. Sequencing of this gene from the promoter to the 3'-untranslated region in 168 rice accessions from a wide geographic range identified eight haplotypes. Furthermore, Hap 3 has the highest grain width discovered in japonica subspecies. Compared to other haplotypes, Hap 3 has a 225 bp insertion in the promoter. Based on the difference between Hap 3 and other haplotypes, OsSNB_Indel2 was designed as a functional marker for the improvement of rice grain width. This could be directly used to assist selection toward an improvement of grain width. These findings suggest OsSNB as useful for further improvements in yield characteristics in most cultivars.

Indexed as

AllelesBreedingChromosome MappingChromosomes, PlantEdible GrainGenes, PlantGenetics, PopulationGenetic VariationGenome-Wide Association StudyHaplotypesLinkage DisequilibriumOryzaPhenotypePolymorphism, Single NucleotideQuantitative Trait LociSeeds

Identifiers

PMID31150378
PMCPMC6581277

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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.