Evidence map›Paper›PMID 30963280›Full record

ArticleRice (New York, N.Y.)2019

Development of a core SNP arrays based on the KASP method for molecular breeding of rice.

Guili Yang, Siping Chen, Likai Chen, Kai Sun, Cuihong Huang, Danhua Zhou, Yuting Huang, Jiafeng Wang, Yongzhu Liu, Hui Wang and 2 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 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
15.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 112 citations in OpenAlex.

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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 1 institution in 1 country.

Guili YangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Siping ChenNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Likai ChenNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Kai SunNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Cuihong HuangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Danhua ZhouNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Yuting HuangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Jiafeng WangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Yongzhu LiuNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Hui WangNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China.
Zhiqiang ChenNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China. chenlin@scau.edu.cn.
Tao GuoNational Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou, 510642, China. guo.tao@vip.163.com.ORCID http://orcid.org/0000-0002-2707-1760
South China Agricultural University · CN

Funding

Earmarked Fund for Modern Agro-industry Technology Research System (CN) No. CARS-01-12Medical Science and Technology Foundation of Guangdong Province No. 2015B020231011National Key Research and Development Project 2016YFD0101100National Key Technology Research and Development Program of China No. 2016YFD0102102
6 · The paper itself

Abstract

backgroundThe development and utilization of genetic markers play a pivotal role in marker-assisted breeding of rice cultivars during pyramiding of valuable genes. Among molecular markers, SNPs have become the most promising due to their wide distribution within genomes and suitability for high -throughput automated genotyping. Although metadata of SNPs have been identified via next generation sequencing in rice, a large gap between the development of SNP markers and the application in breeding still exists. To promote the application of SNP markers based on the KASP (Kompetitive Allele-Specific PCR) method in rice breeding, a set of core SNP arrays was built via the screening of SNP databases and literature resources based on the KASP method.

resultsFive hundred and ninety six SNPs classified into eight subsets including quality control, indica-indica variation, highly polymorphic, functional genes, key genes targeting sites, gene cloned region, important trait associated and gap filling sites were chosen to design KASP primers and 565 out of them were successfully designed, and the assay design success rate was 94.8%. Finally, 467 out of the 565 successfully-designed SNPs can display diversity at the loci were used to develop a set of core SNP arrays. To evaluate the application value of the core SNP markers in rice breeding, 481 rice germplasms were genotyped with three functional KASP markers designed from the sequences of GBSSI, SSIIa, and Badh2 from the core SNP arrays for estimation of their grain quality performance. Eighteen rice lines, including Xiangwanxian 13, Basmati 370, Ruanhua A, and PR 33319-9-1-1-5-3-5-4-1, harbor all three favorable alleles. The core KASP arrays were also used for rice germplasm assessment, genetic diversity and population evaluation. Four hundred and eighty-one rice germplasms were divided into 3 groups: POP1, POP2 and POP3. POP1 and POP2 were indica rice subgroups consisting of 263 and 186 rice germplasms, respectively. POP3 was a japonica rice subgroup consisting of 32 rice germplasms. The average F

conclusionsThe core KASP arrays developed in our study were efficient and versatile for rice germplasm assessment, genetic diversity and population evaluation and are valuable for promoting SNP molecular breeding in rice. Our study demonstrated that useful assays combined with molecular breeding can be exploited for important economic trait improvement in rice breeding.

Indexed as

Core SNP arrayKASPMolecular breedingRice

Identifiers

PMID30963280
PMCPMC6453994
OpenAlexW2943940659

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.