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Development of genome-wide insertion and deletion markers for maize, based on next-generation sequencing data
BACKGROUND: Insertions and deletions (indels) are the most abundant form of structural variation in all genomes. Indels have been increasingly recognized as an important source of molecular markers due to high-density occurrence, cost-effectiveness, and ease of genotyping. Coupled with developments...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535256/ https://www.ncbi.nlm.nih.gov/pubmed/26269146 http://dx.doi.org/10.1186/s12864-015-1797-5 |
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author | Liu, Jian Qu, Jingtao Yang, Cong Tang, Dengguo Li, Jingwei Lan, Hai Rong, Tingzhao |
author_facet | Liu, Jian Qu, Jingtao Yang, Cong Tang, Dengguo Li, Jingwei Lan, Hai Rong, Tingzhao |
author_sort | Liu, Jian |
collection | PubMed |
description | BACKGROUND: Insertions and deletions (indels) are the most abundant form of structural variation in all genomes. Indels have been increasingly recognized as an important source of molecular markers due to high-density occurrence, cost-effectiveness, and ease of genotyping. Coupled with developments in bioinformatics, next-generation sequencing (NGS) platforms enable the discovery of millions of indel polymorphisms by comparing the whole genome sequences of individuals within a species. RESULTS: A total of 1,973,746 unique indels were identified in 345 maize genomes, with an overall density of 958.79 indels/Mbp, and an average allele number of 2.76, ranging from 2 to 107. There were 264,214 indels with polymorphism information content (PIC) values greater than or equal to 0.5, accounting for 13.39 % of overall indels. Of these highly polymorphic indels, we designed primer pairs for 83,481 and 29,403 indels with major allele differences (i.e. the size difference between the most and second most frequent alleles) greater than or equal to 3 and 8 bp, respectively, based on the differing resolution capabilities of gel electrophoresis. The accuracy of our indel markers was experimentally validated, and among 100 indel markers, average accuracy was approximately 90 %. In addition, we also validated the polymorphism of the indel markers. Of 100 highly polymorphic indel markers, all had polymorphisms with average PIC values of 0.54. CONCLUSIONS: The maize genome is rich in indel polymorphisms. Intriguingly, the level of polymorphism in genic regions of the maize genome was higher than that in intergenic regions. The polymorphic indel markers developed from this study may enhance the efficiency of genetic research and marker-assisted breeding in maize. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1797-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4535256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45352562015-08-14 Development of genome-wide insertion and deletion markers for maize, based on next-generation sequencing data Liu, Jian Qu, Jingtao Yang, Cong Tang, Dengguo Li, Jingwei Lan, Hai Rong, Tingzhao BMC Genomics Research Article BACKGROUND: Insertions and deletions (indels) are the most abundant form of structural variation in all genomes. Indels have been increasingly recognized as an important source of molecular markers due to high-density occurrence, cost-effectiveness, and ease of genotyping. Coupled with developments in bioinformatics, next-generation sequencing (NGS) platforms enable the discovery of millions of indel polymorphisms by comparing the whole genome sequences of individuals within a species. RESULTS: A total of 1,973,746 unique indels were identified in 345 maize genomes, with an overall density of 958.79 indels/Mbp, and an average allele number of 2.76, ranging from 2 to 107. There were 264,214 indels with polymorphism information content (PIC) values greater than or equal to 0.5, accounting for 13.39 % of overall indels. Of these highly polymorphic indels, we designed primer pairs for 83,481 and 29,403 indels with major allele differences (i.e. the size difference between the most and second most frequent alleles) greater than or equal to 3 and 8 bp, respectively, based on the differing resolution capabilities of gel electrophoresis. The accuracy of our indel markers was experimentally validated, and among 100 indel markers, average accuracy was approximately 90 %. In addition, we also validated the polymorphism of the indel markers. Of 100 highly polymorphic indel markers, all had polymorphisms with average PIC values of 0.54. CONCLUSIONS: The maize genome is rich in indel polymorphisms. Intriguingly, the level of polymorphism in genic regions of the maize genome was higher than that in intergenic regions. The polymorphic indel markers developed from this study may enhance the efficiency of genetic research and marker-assisted breeding in maize. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1797-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-08-13 /pmc/articles/PMC4535256/ /pubmed/26269146 http://dx.doi.org/10.1186/s12864-015-1797-5 Text en © Liu et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Article Liu, Jian Qu, Jingtao Yang, Cong Tang, Dengguo Li, Jingwei Lan, Hai Rong, Tingzhao Development of genome-wide insertion and deletion markers for maize, based on next-generation sequencing data |
title | Development of genome-wide insertion and deletion markers for maize, based on next-generation sequencing data |
title_full | Development of genome-wide insertion and deletion markers for maize, based on next-generation sequencing data |
title_fullStr | Development of genome-wide insertion and deletion markers for maize, based on next-generation sequencing data |
title_full_unstemmed | Development of genome-wide insertion and deletion markers for maize, based on next-generation sequencing data |
title_short | Development of genome-wide insertion and deletion markers for maize, based on next-generation sequencing data |
title_sort | development of genome-wide insertion and deletion markers for maize, based on next-generation sequencing data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535256/ https://www.ncbi.nlm.nih.gov/pubmed/26269146 http://dx.doi.org/10.1186/s12864-015-1797-5 |
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