Evidence map›Paper›PMID 31309320›Full record

ArticleRice (New York, N.Y.)2019

Identification of new rice cultivars and resistance loci against rice black-streaked dwarf virus disease through genome-wide association study.

Zhiming Feng, Houxiang Kang, Mingyou Li, Lihua Zou, Xiaoqiu Wang, Jianhua Zhao, Lang Wei, Nana Zhou, Qianqian Li, Ying Lan and 6 more

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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
16.3field-weighted citation impact, top 1% 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

17 citing papers in PubMed, 58 citations in OpenAlex.

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  11. Genome Editing of RiceViruses · 2021
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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

16 authors at 4 institutions in 2 countries.

Zhiming FengJiangsu Key Laboratory of Crop Genetics and Physiology/ Key Laboratory of Plant Functional Genomics of the Ministry of Education/ Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou, 225009, China.
Houxiang KangState Key Laboratory for biology of plant diseases and insect pests/Institute of plant protection, Chinese academy of Agricultural Sciences, Beijing, 100093, China.
Mingyou LiJiangsu Key Laboratory of Crop Genetics and Physiology/ Key Laboratory of Plant Functional Genomics of the Ministry of Education/ Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou, 225009, China.
Lihua ZouJiangsu Key Laboratory of Crop Genetics and Physiology/ Key Laboratory of Plant Functional Genomics of the Ministry of Education/ Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou, 225009, China.
Xiaoqiu WangJiangsu Key Laboratory of Crop Genetics and Physiology/ Key Laboratory of Plant Functional Genomics of the Ministry of Education/ Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou, 225009, China.
Jianhua ZhaoJiangsu Key Laboratory of Crop Genetics and Physiology/ Key Laboratory of Plant Functional Genomics of the Ministry of Education/ Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou, 225009, China.
Lang WeiJiangsu Key Laboratory of Crop Genetics and Physiology/ Key Laboratory of Plant Functional Genomics of the Ministry of Education/ Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou, 225009, China.
Nana ZhouJiangsu Key Laboratory of Crop Genetics and Physiology/ Key Laboratory of Plant Functional Genomics of the Ministry of Education/ Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou, 225009, China.
Qianqian LiJiangsu Key Laboratory of Crop Genetics and Physiology/ Key Laboratory of Plant Functional Genomics of the Ministry of Education/ Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou, 225009, China.
Ying LanInstitute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Yafang ZhangJiangsu Key Laboratory of Crop Genetics and Physiology/ Key Laboratory of Plant Functional Genomics of the Ministry of Education/ Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou, 225009, China.
Zongxiang ChenJiangsu Key Laboratory of Crop Genetics and Physiology/ Key Laboratory of Plant Functional Genomics of the Ministry of Education/ Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou, 225009, China.
Wende LiuState Key Laboratory for biology of plant diseases and insect pests/Institute of plant protection, Chinese academy of Agricultural Sciences, Beijing, 100093, China.
Xuebiao PanJiangsu Key Laboratory of Crop Genetics and Physiology/ Key Laboratory of Plant Functional Genomics of the Ministry of Education/ Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou, 225009, China.
Guo-Liang WangState Key Laboratory for biology of plant diseases and insect pests/Institute of plant protection, Chinese academy of Agricultural Sciences, Beijing, 100093, China. wang.620@osu.edu.ORCID http://orcid.org/0000-0001-8877-3064
Shimin ZuoJiangsu Key Laboratory of Crop Genetics and Physiology/ Key Laboratory of Plant Functional Genomics of the Ministry of Education/ Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou, 225009, China. smzuo@yzu.edu.cn.ORCID http://orcid.org/0000-0002-9937-3418
Yangzhou University · CNChinese Academy of Agricultural Sciences · CNInstitute of Plant Protection · CNJiangsu Academy of Agricultural Sciences · CN

Funding

a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) PAPDChina Postdoctoral Science Foundation 2017M620227Fok Ying Tung Education Fundation 151026National Key Research and Development Program of China 2016YFD0100601National Key Technology Research and Development Program of the Ministry of Science and Technology of China 2015BAD01B01-5Natural Science Foundation of China 31701057Natural Science Foundation of Jiangsu province BK20170487the Innovation and Entrepreneurship Training Program for College Students of Jiangsu 201811117067Y
6 · The paper itself

Abstract

backgroundThe rice black-streaked dwarf virus (RBSDV) disease causes severe rice yield losses in Eastern China and other East Asian countries. Breeding resistant cultivars is the most economical and effective strategy to control the disease. However, few varieties and QTLs for RBSDV resistance have been identified to date.

resultsIn this study, we conducted a genome-wide association study (GWAS) on RBSDV resistance using the rice diversity panel 1 (RDP1) cultivars that were genotyped by a 44,000 high-density single nucleotide polymorphism (SNP) markers array. We found that less than 15% of these cultivars displayed resistance to RBSDV when tested under natural infection conditions at two locations with serious RBSDV occurrence. The aus, indica and tropical japonica sub-populations displayed higher RBSDV resistance than the aromatic and temperate japonica sub-populations. In particular, we identified four varieties that displayed stable levels of RBSDV resistance at all testing locations. GWAS identified 84 non-redundant SNP loci significantly associated with RBSDV resistance at two locations, leading to the identification of 13 QTLs for RBSDV resistance. Among them, qRBSDV-4.2 and qRBSDV-6.3 were detected at both locations, suggesting their resistance stability against environmental influence. Field disease evaluations showed that qRBSDV-6.3 significantly reduces RBSDV disease severity by 20%. Furthermore, introgression of qRBSDV-6.3 into two susceptible rice cultivars by marker-assisted selection demonstrated the effectiveness of qRBSDV-6.3 in enhancing RBSDV resistance.

conclusionsThe new resistant cultivars and QTLs against RBSDV disease identified in this study provide important information and genetic materials for the cloning of RBSDV resistance genes as well as developing RBSDV resistant varieties through marker-assisted selection.

Indexed as

Genome-wide association study (GWAS)Quantitative trait loci (QTLs)Resistance effectRice black-streaked dwarf virus (RBSDV) diseaseRice (Oryza sativa L.)

Identifiers

PMID31309320
PMCPMC6629753
OpenAlexW2958366340

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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.