Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Jian, Qu, Jingtao, Yang, Cong, Tang, Dengguo, Li, Jingwei, Lan, Hai, Rong, Tingzhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
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
_version_ 1782385580153241600
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
work_keys_str_mv AT liujian developmentofgenomewideinsertionanddeletionmarkersformaizebasedonnextgenerationsequencingdata
AT qujingtao developmentofgenomewideinsertionanddeletionmarkersformaizebasedonnextgenerationsequencingdata
AT yangcong developmentofgenomewideinsertionanddeletionmarkersformaizebasedonnextgenerationsequencingdata
AT tangdengguo developmentofgenomewideinsertionanddeletionmarkersformaizebasedonnextgenerationsequencingdata
AT lijingwei developmentofgenomewideinsertionanddeletionmarkersformaizebasedonnextgenerationsequencingdata
AT lanhai developmentofgenomewideinsertionanddeletionmarkersformaizebasedonnextgenerationsequencingdata
AT rongtingzhao developmentofgenomewideinsertionanddeletionmarkersformaizebasedonnextgenerationsequencingdata