Evidence map›Paper›PMID 26673149›Full record

ArticleBMC genomics2015

Genetic variation and association mapping for 12 agronomic traits in indica rice.

Qing Lu, Mengchen Zhang, Xiaojun Niu, Shan Wang, Qun Xu, Yue Feng, Caihong Wang, Hongzhong Deng, Xiaoping Yuan, Hanyong Yu and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 80 citations in OpenAlex.

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  17. Leaf Count Aided Novel Framework for Rice (Plants (Basel, Switzerland) · 2022
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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

12 authors at 2 institutions in 1 country.

Qing LuState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China. luqing2016@126.com.
Mengchen ZhangState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China. theJust@126.com.
Xiaojun NiuState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China. xiaojunwords@126.com.
Shan WangState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China. wangshan7628@163.com.
Qun XuState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China. xuqun37@hotmail.com.
Yue FengState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China. fy_555500@163.com.
Caihong WangState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China. wangcaihong@caas.com.
Hongzhong DengState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China. hongzhongdeng@163.com.
Xiaoping YuanState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China. yxp641110@163.com.
Hanyong YuState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China. yuhy540@163.com.
Yiping WangState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China. cnwangyp@126.com.
Xinghua WeiState Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China. weixinghua@caas.cn.
China National Rice Research Institute · CNShanxi Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing rice (Oryza sativa L.) yield is a crucial challenge for modern agriculture. The ideal plant architecture is considered to be critical to enhance rice yield. Elite plant morphological traits should include compact plant type, short stature, few unproductive tillers, thick and sturdy stems and erect leaves. To reveal the genetic variations of important morphological traits, 523 germplasm accessions were genotyped using the Illumina custom-designed array containing 5,291 single nucleotide polymorphisms (SNPs) and phenotyped in two independent environments. Genome-wide association studies were performed to uncover the genotypic and phenotypic variations using a mixed linear model.

resultsIn total, 126 and 172 significant loci were identified and these loci explained an average of 34.45% and 39.09% of the phenotypic variance in two environments, respectively, and 16 of 298 (~5.37%) loci were detected across the two environments. For the 16 loci, 423 candidate genes were predicted in a 200-kb region (±100 kb of the peak SNP). Expression-level analyses identified four candidate genes as the most promising regulators of tiller angle. Known (NAL1 and Rc) and new significant loci showed pleiotropy and gene linkage. In addition, a long genome region covering ~1.6 Mb on chromosome 11 was identified, which may be critical for rice leaf architecture because of a high association with flag leaf length and the ratio of flag leaf length and width. The pyramid effect of the elite alleles indicated that these significant loci could be beneficial for rice plant architecture improvements in the future. Finally, 37 elite varieties were chosen as breeding donors for further rice plant architectural modifications.

conclusionsThis study detected multiple novel loci and candidate genes related to rice morphological traits, and the work demonstrated that genome-wide association studies are powerful strategies for uncovering the genetic variations of complex traits and identifying candidate genes in rice, even though the linkage disequilibrium decayed slowly in self-pollinating species. Future research will focus on the biological validation of the candidate genes, and elite varieties will also be of interest in genome selection and breeding by design.

Indexed as

Chromosome MappingGenetic Association StudiesGenetic VariationQuantitative Trait, HeritableQuantitative Trait LociAllelesBreedingGene Expression ProfilingGenetic LinkageGenome-Wide Association StudyGenotypeLinkage DisequilibriumOryzaPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID26673149
PMCPMC4681178
OpenAlexW2200365462

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.