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Sequence-based ultra-dense genetic and physical maps reveal structural variations of allopolyploid cotton genomes

BACKGROUND: SNPs are the most abundant polymorphism type, and have been explored in many crop genomic studies, including rice and maize. SNP discovery in allotetraploid cotton genomes has lagged behind that of other crops due to their complexity and polyploidy. In this study, genome-wide SNPs are de...

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Autores principales: Wang, Sen, Chen, Jiedan, Zhang, Wenpan, Hu, Yan, Chang, Lijing, Fang, Lei, Wang, Qiong, Lv, Fenni, Wu, Huaitong, Si, Zhanfeng, Chen, Shuqi, Cai, Caiping, Zhu, Xiefei, Zhou, Baoliang, Guo, Wangzhen, Zhang, Tianzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4469577/
https://www.ncbi.nlm.nih.gov/pubmed/26003111
http://dx.doi.org/10.1186/s13059-015-0678-1
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author Wang, Sen
Chen, Jiedan
Zhang, Wenpan
Hu, Yan
Chang, Lijing
Fang, Lei
Wang, Qiong
Lv, Fenni
Wu, Huaitong
Si, Zhanfeng
Chen, Shuqi
Cai, Caiping
Zhu, Xiefei
Zhou, Baoliang
Guo, Wangzhen
Zhang, Tianzhen
author_facet Wang, Sen
Chen, Jiedan
Zhang, Wenpan
Hu, Yan
Chang, Lijing
Fang, Lei
Wang, Qiong
Lv, Fenni
Wu, Huaitong
Si, Zhanfeng
Chen, Shuqi
Cai, Caiping
Zhu, Xiefei
Zhou, Baoliang
Guo, Wangzhen
Zhang, Tianzhen
author_sort Wang, Sen
collection PubMed
description BACKGROUND: SNPs are the most abundant polymorphism type, and have been explored in many crop genomic studies, including rice and maize. SNP discovery in allotetraploid cotton genomes has lagged behind that of other crops due to their complexity and polyploidy. In this study, genome-wide SNPs are detected systematically using next-generation sequencing and efficient SNP genotyping methods, and used to construct a linkage map and characterize the structural variations in polyploid cotton genomes. RESULTS: We construct an ultra-dense inter-specific genetic map comprising 4,999,048 SNP loci distributed unevenly in 26 allotetraploid cotton linkage groups and covering 4,042 cM. The map is used to order tetraploid cotton genome scaffolds for accurate assembly of G. hirsutum acc. TM-1. Recombination rates and hotspots are identified across the cotton genome by comparing the assembled draft sequence and the genetic map. Using this map, genome rearrangements and centromeric regions are identified in tetraploid cotton by combining information from the publicly-available G. raimondii genome with fluorescent in situ hybridization analysis. CONCLUSIONS: We report the genotype-by-sequencing method used to identify millions of SNPs between G. hirsutum and G. barbadense. We construct and use an ultra-dense SNP map to correct sequence mis-assemblies, merge scaffolds into pseudomolecules corresponding to chromosomes, detect genome rearrangements, and identify centromeric regions in allotetraploid cottons. We find that the centromeric retro-element sequence of tetraploid cotton derived from the D subgenome progenitor might have invaded the A subgenome centromeres after allotetrapolyploid formation. This study serves as a valuable genomic resource for genetic research and breeding of cotton. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0678-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-44695772015-06-18 Sequence-based ultra-dense genetic and physical maps reveal structural variations of allopolyploid cotton genomes Wang, Sen Chen, Jiedan Zhang, Wenpan Hu, Yan Chang, Lijing Fang, Lei Wang, Qiong Lv, Fenni Wu, Huaitong Si, Zhanfeng Chen, Shuqi Cai, Caiping Zhu, Xiefei Zhou, Baoliang Guo, Wangzhen Zhang, Tianzhen Genome Biol Research BACKGROUND: SNPs are the most abundant polymorphism type, and have been explored in many crop genomic studies, including rice and maize. SNP discovery in allotetraploid cotton genomes has lagged behind that of other crops due to their complexity and polyploidy. In this study, genome-wide SNPs are detected systematically using next-generation sequencing and efficient SNP genotyping methods, and used to construct a linkage map and characterize the structural variations in polyploid cotton genomes. RESULTS: We construct an ultra-dense inter-specific genetic map comprising 4,999,048 SNP loci distributed unevenly in 26 allotetraploid cotton linkage groups and covering 4,042 cM. The map is used to order tetraploid cotton genome scaffolds for accurate assembly of G. hirsutum acc. TM-1. Recombination rates and hotspots are identified across the cotton genome by comparing the assembled draft sequence and the genetic map. Using this map, genome rearrangements and centromeric regions are identified in tetraploid cotton by combining information from the publicly-available G. raimondii genome with fluorescent in situ hybridization analysis. CONCLUSIONS: We report the genotype-by-sequencing method used to identify millions of SNPs between G. hirsutum and G. barbadense. We construct and use an ultra-dense SNP map to correct sequence mis-assemblies, merge scaffolds into pseudomolecules corresponding to chromosomes, detect genome rearrangements, and identify centromeric regions in allotetraploid cottons. We find that the centromeric retro-element sequence of tetraploid cotton derived from the D subgenome progenitor might have invaded the A subgenome centromeres after allotetrapolyploid formation. This study serves as a valuable genomic resource for genetic research and breeding of cotton. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0678-1) contains supplementary material, which is available to authorized users. BioMed Central 2015-05-24 2015 /pmc/articles/PMC4469577/ /pubmed/26003111 http://dx.doi.org/10.1186/s13059-015-0678-1 Text en © Wang et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Wang, Sen
Chen, Jiedan
Zhang, Wenpan
Hu, Yan
Chang, Lijing
Fang, Lei
Wang, Qiong
Lv, Fenni
Wu, Huaitong
Si, Zhanfeng
Chen, Shuqi
Cai, Caiping
Zhu, Xiefei
Zhou, Baoliang
Guo, Wangzhen
Zhang, Tianzhen
Sequence-based ultra-dense genetic and physical maps reveal structural variations of allopolyploid cotton genomes
title Sequence-based ultra-dense genetic and physical maps reveal structural variations of allopolyploid cotton genomes
title_full Sequence-based ultra-dense genetic and physical maps reveal structural variations of allopolyploid cotton genomes
title_fullStr Sequence-based ultra-dense genetic and physical maps reveal structural variations of allopolyploid cotton genomes
title_full_unstemmed Sequence-based ultra-dense genetic and physical maps reveal structural variations of allopolyploid cotton genomes
title_short Sequence-based ultra-dense genetic and physical maps reveal structural variations of allopolyploid cotton genomes
title_sort sequence-based ultra-dense genetic and physical maps reveal structural variations of allopolyploid cotton genomes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4469577/
https://www.ncbi.nlm.nih.gov/pubmed/26003111
http://dx.doi.org/10.1186/s13059-015-0678-1
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