Evidence map›Paper›PMID 26334612›Full record

ArticleMolecular genetics and genomics : MGG2016

Genetic analysis for rice grain quality traits in the YVB stable variant line using RAD-seq.

Yan Peng, Yuanyi Hu, Bigang Mao, Haitao Xiang, Ye Shao, Yinlin Pan, Xiabing Sheng, Yaokui Li, Xuemei Ni, Yumei Xia and 4 more

Abstract read
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Article in Molecular genetics and genomics : MGG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 40 citations in OpenAlex.

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  14. Acid phosphatase gene GmHAD1 linked to low phosphorus tolerance in soybean, through fine mapping.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018
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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

14 authors at 4 institutions in 1 country.

Yan PengState Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, 736 Yuanda Erlu, Changsha, 410125, China. py225666@163.com.
Yuanyi HuState Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, 736 Yuanda Erlu, Changsha, 410125, China. huyuanyi237@163.com.
Bigang MaoState Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, 736 Yuanda Erlu, Changsha, 410125, China.
Haitao XiangKey Lab of Genomics, BGI-Shenzhen, Chinese Ministry of Agriculture, Shenzhen, 518083, China.
Ye ShaoState Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, 736 Yuanda Erlu, Changsha, 410125, China.
Yinlin PanLongping Branch, Graduate School of Central South University, Changsha, 410125, China.
Xiabing ShengState Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, 736 Yuanda Erlu, Changsha, 410125, China.
Yaokui LiState Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, 736 Yuanda Erlu, Changsha, 410125, China.
Xuemei NiKey Lab of Genomics, BGI-Shenzhen, Chinese Ministry of Agriculture, Shenzhen, 518083, China.
Yumei XiaState Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, 736 Yuanda Erlu, Changsha, 410125, China.
Gengyun ZhangKey Lab of Genomics, BGI-Shenzhen, Chinese Ministry of Agriculture, Shenzhen, 518083, China.
Longping YuanState Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, 736 Yuanda Erlu, Changsha, 410125, China.
Zhiwu QuanKey Lab of Genomics, BGI-Shenzhen, Chinese Ministry of Agriculture, Shenzhen, 518083, China. quanzhiwu@genomics.cn.
Bingran ZhaoState Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, 736 Yuanda Erlu, Changsha, 410125, China. brzhaohhrrcrice@163.com.
China National Hybrid Rice R&D Central Hunan Hybrid Rice Reserch Center · CNBGI Group (China) · CNState Key Laboratory of Hybrid RiceCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The future of rice breeding will likely be built on the basis of the further utilization of heterosis between elite cultivars and genetic resources from distant subspecies of rice. Previous studies have proved that exogenous genomic DNA transformation methods can be used to transfer genetic information from distant relatives (donor) into cultivated rice (recipient). However, the mechanism underlying this form of genetic transfer is poorly characterized, and the genes that cause the phenotypic changes in these variants are typically difficult to identify. This study examined YVB, a stable variant line with greatly improved grain quality traits that was derived from an indica variety (V20B) by transferring genomic DNA of O.minuta through the "spike-stalk injection method (SIM)". We used restriction-site associated DNA sequencing technology (RAD-seq) to evaluate a population of BC1F5 backcross lines (YVB × V20B); the RAD-seq data were used to construct a genetic linkage map with high-density SNPs for use in association analysis exploring genotype-phenotype relationships at the whole-genome level. A total of 17 quantitative trait loci (QTLs) for rice quality traits were mapped to chromosomes 3, 5, 6, 8, and 9. 8 major QTLs controlling different phenotypic variations were mapped to the same region of chromosome 5. This region contained the GS5 gene for grain weight and the qSW5/GW5 gene for grain width. This study provides new resources and insights into the molecular mechanisms of grain trait phenotypic variation and the transmission of genetic information via the introduction of genomic DNA to a distantly related crop relative species.

Indexed as

BreedingChromosome MappingChromosomes, PlantEdible GrainGenetic TestingGenotypeInbreedingOryzaPhenotypePolymorphism, Single NucleotideQuantitative Trait LociSequence Analysis, DNAGenomic DNA transformationQTL mappingRAD-seqRice quality traitsWild rice

Identifiers

PMID26334612
OpenAlexW1812272330

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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.