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Development of genic KASP SNP markers from RNA-Seq data for map-based cloning and marker-assisted selection in maize

BACKGROUND: Maize is one of the most important field crops in the world. Most of the key agronomic traits, including yield traits and plant architecture traits, are quantitative. Fine mapping of genes/ quantitative trait loci (QTL) influencing a key trait is essential for marker-assisted selection (...

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Autores principales: Chen, Zhengjie, Tang, Dengguo, Ni, Jixing, Li, Peng, Wang, Le, Zhou, Jinhong, Li, Chenyang, Lan, Hai, Li, Lujiang, Liu, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8004444/
https://www.ncbi.nlm.nih.gov/pubmed/33771110
http://dx.doi.org/10.1186/s12870-021-02932-8
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author Chen, Zhengjie
Tang, Dengguo
Ni, Jixing
Li, Peng
Wang, Le
Zhou, Jinhong
Li, Chenyang
Lan, Hai
Li, Lujiang
Liu, Jian
author_facet Chen, Zhengjie
Tang, Dengguo
Ni, Jixing
Li, Peng
Wang, Le
Zhou, Jinhong
Li, Chenyang
Lan, Hai
Li, Lujiang
Liu, Jian
author_sort Chen, Zhengjie
collection PubMed
description BACKGROUND: Maize is one of the most important field crops in the world. Most of the key agronomic traits, including yield traits and plant architecture traits, are quantitative. Fine mapping of genes/ quantitative trait loci (QTL) influencing a key trait is essential for marker-assisted selection (MAS) in maize breeding. However, the SNP markers with high density and high polymorphism are lacking, especially kompetitive allele specific PCR (KASP) SNP markers that can be used for automatic genotyping. To date, a large volume of sequencing data has been produced by the next generation sequencing technology, which provides a good pool of SNP loci for development of SNP markers. In this study, we carried out a multi-step screening method to identify kompetitive allele specific PCR (KASP) SNP markers based on the RNA-Seq data sets of 368 maize inbred lines. RESULTS: A total of 2,948,985 SNPs were identified in the high-throughput RNA-Seq data sets with the average density of 1.4 SNP/kb. Of these, 71,311 KASP SNP markers (the average density of 34 KASP SNP/Mb) were developed based on the strict criteria: unique genomic region, bi-allelic, polymorphism information content (PIC) value ≥0.4, and conserved primer sequences, and were mapped on 16,161 genes. These 16,161 genes were annotated to 52 gene ontology (GO) terms, including most of primary and secondary metabolic pathways. Subsequently, the 50 KASP SNP markers with the PIC values ranging from 0.14 to 0.5 in 368 RNA-Seq data sets and with polymorphism between the maize inbred lines 1212 and B73 in in silico analysis were selected to experimentally validate the accuracy and polymorphism of SNPs, resulted in 46 SNPs (92.00%) showed polymorphism between the maize inbred lines 1212 and B73. Moreover, these 46 polymorphic SNPs were utilized to genotype the other 20 maize inbred lines, with all 46 SNPs showing polymorphism in the 20 maize inbred lines, and the PIC value of each SNP was 0.11 to 0.50 with an average of 0.35. The results suggested that the KASP SNP markers developed in this study were accurate and polymorphic. CONCLUSIONS: These high-density polymorphic KASP SNP markers will be a valuable resource for map-based cloning of QTL/genes and marker-assisted selection in maize. Furthermore, the method used to develop SNP markers in maize can also be applied in other species. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-02932-8.
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spelling pubmed-80044442021-03-30 Development of genic KASP SNP markers from RNA-Seq data for map-based cloning and marker-assisted selection in maize Chen, Zhengjie Tang, Dengguo Ni, Jixing Li, Peng Wang, Le Zhou, Jinhong Li, Chenyang Lan, Hai Li, Lujiang Liu, Jian BMC Plant Biol Research Article BACKGROUND: Maize is one of the most important field crops in the world. Most of the key agronomic traits, including yield traits and plant architecture traits, are quantitative. Fine mapping of genes/ quantitative trait loci (QTL) influencing a key trait is essential for marker-assisted selection (MAS) in maize breeding. However, the SNP markers with high density and high polymorphism are lacking, especially kompetitive allele specific PCR (KASP) SNP markers that can be used for automatic genotyping. To date, a large volume of sequencing data has been produced by the next generation sequencing technology, which provides a good pool of SNP loci for development of SNP markers. In this study, we carried out a multi-step screening method to identify kompetitive allele specific PCR (KASP) SNP markers based on the RNA-Seq data sets of 368 maize inbred lines. RESULTS: A total of 2,948,985 SNPs were identified in the high-throughput RNA-Seq data sets with the average density of 1.4 SNP/kb. Of these, 71,311 KASP SNP markers (the average density of 34 KASP SNP/Mb) were developed based on the strict criteria: unique genomic region, bi-allelic, polymorphism information content (PIC) value ≥0.4, and conserved primer sequences, and were mapped on 16,161 genes. These 16,161 genes were annotated to 52 gene ontology (GO) terms, including most of primary and secondary metabolic pathways. Subsequently, the 50 KASP SNP markers with the PIC values ranging from 0.14 to 0.5 in 368 RNA-Seq data sets and with polymorphism between the maize inbred lines 1212 and B73 in in silico analysis were selected to experimentally validate the accuracy and polymorphism of SNPs, resulted in 46 SNPs (92.00%) showed polymorphism between the maize inbred lines 1212 and B73. Moreover, these 46 polymorphic SNPs were utilized to genotype the other 20 maize inbred lines, with all 46 SNPs showing polymorphism in the 20 maize inbred lines, and the PIC value of each SNP was 0.11 to 0.50 with an average of 0.35. The results suggested that the KASP SNP markers developed in this study were accurate and polymorphic. CONCLUSIONS: These high-density polymorphic KASP SNP markers will be a valuable resource for map-based cloning of QTL/genes and marker-assisted selection in maize. Furthermore, the method used to develop SNP markers in maize can also be applied in other species. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-021-02932-8. BioMed Central 2021-03-26 /pmc/articles/PMC8004444/ /pubmed/33771110 http://dx.doi.org/10.1186/s12870-021-02932-8 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Chen, Zhengjie
Tang, Dengguo
Ni, Jixing
Li, Peng
Wang, Le
Zhou, Jinhong
Li, Chenyang
Lan, Hai
Li, Lujiang
Liu, Jian
Development of genic KASP SNP markers from RNA-Seq data for map-based cloning and marker-assisted selection in maize
title Development of genic KASP SNP markers from RNA-Seq data for map-based cloning and marker-assisted selection in maize
title_full Development of genic KASP SNP markers from RNA-Seq data for map-based cloning and marker-assisted selection in maize
title_fullStr Development of genic KASP SNP markers from RNA-Seq data for map-based cloning and marker-assisted selection in maize
title_full_unstemmed Development of genic KASP SNP markers from RNA-Seq data for map-based cloning and marker-assisted selection in maize
title_short Development of genic KASP SNP markers from RNA-Seq data for map-based cloning and marker-assisted selection in maize
title_sort development of genic kasp snp markers from rna-seq data for map-based cloning and marker-assisted selection in maize
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8004444/
https://www.ncbi.nlm.nih.gov/pubmed/33771110
http://dx.doi.org/10.1186/s12870-021-02932-8
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