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Detection of genomic loci associated with chromosomal recombination using high-density linkage mapping in Setaria

Meiotic recombination is essential to sexual reproduction and the generation of genetic diversity. Variation in recombination rates is presently of particular interest due to efforts being made to increase the rate of genetic gain in agricultural crops by breaking up large linkage disequilibrium blo...

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Autores principales: Jia, Guanqing, Wang, Haigang, Tang, Sha, Zhi, Hui, Liu, Sichen, Wen, Qifen, Qiao, Zhijun, Diao, Xianmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680217/
https://www.ncbi.nlm.nih.gov/pubmed/29123199
http://dx.doi.org/10.1038/s41598-017-15576-2
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author Jia, Guanqing
Wang, Haigang
Tang, Sha
Zhi, Hui
Liu, Sichen
Wen, Qifen
Qiao, Zhijun
Diao, Xianmin
author_facet Jia, Guanqing
Wang, Haigang
Tang, Sha
Zhi, Hui
Liu, Sichen
Wen, Qifen
Qiao, Zhijun
Diao, Xianmin
author_sort Jia, Guanqing
collection PubMed
description Meiotic recombination is essential to sexual reproduction and the generation of genetic diversity. Variation in recombination rates is presently of particular interest due to efforts being made to increase the rate of genetic gain in agricultural crops by breaking up large linkage disequilibrium blocks containing both beneficial and detrimental alleles. Here, a high-density genetic linkage map of Setaria was constructed using tunable genotyping by sequencing (tGBS) analysis of a population of recombinant inbred lines (RILs). Several regions of the Setaria genome exhibited significant levels of segregation distortion (SD), and recombination crossovers (COs) were also detected. The regions with high SD generally tended to have fewer COs, particularly for pericentromeric chromosomal areas. Recombination crossovers detected in Setaria were unevenly distributed across the genome and occurred more often in intergenic regions. Quantitative trait loci (QTLs) contributing towards the recombination frequency (Type I) and occurrence of COs in designated loci (Type II) were identified, and Type II QTLs garnered higher statistical power. The result of this study suggest that QTLs analysis of Type II traits using RILs might provide an opportunity to further understand meiotic recombination using high throughput genome sequencing and genotyping technologies.
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spelling pubmed-56802172017-11-17 Detection of genomic loci associated with chromosomal recombination using high-density linkage mapping in Setaria Jia, Guanqing Wang, Haigang Tang, Sha Zhi, Hui Liu, Sichen Wen, Qifen Qiao, Zhijun Diao, Xianmin Sci Rep Article Meiotic recombination is essential to sexual reproduction and the generation of genetic diversity. Variation in recombination rates is presently of particular interest due to efforts being made to increase the rate of genetic gain in agricultural crops by breaking up large linkage disequilibrium blocks containing both beneficial and detrimental alleles. Here, a high-density genetic linkage map of Setaria was constructed using tunable genotyping by sequencing (tGBS) analysis of a population of recombinant inbred lines (RILs). Several regions of the Setaria genome exhibited significant levels of segregation distortion (SD), and recombination crossovers (COs) were also detected. The regions with high SD generally tended to have fewer COs, particularly for pericentromeric chromosomal areas. Recombination crossovers detected in Setaria were unevenly distributed across the genome and occurred more often in intergenic regions. Quantitative trait loci (QTLs) contributing towards the recombination frequency (Type I) and occurrence of COs in designated loci (Type II) were identified, and Type II QTLs garnered higher statistical power. The result of this study suggest that QTLs analysis of Type II traits using RILs might provide an opportunity to further understand meiotic recombination using high throughput genome sequencing and genotyping technologies. Nature Publishing Group UK 2017-11-09 /pmc/articles/PMC5680217/ /pubmed/29123199 http://dx.doi.org/10.1038/s41598-017-15576-2 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jia, Guanqing
Wang, Haigang
Tang, Sha
Zhi, Hui
Liu, Sichen
Wen, Qifen
Qiao, Zhijun
Diao, Xianmin
Detection of genomic loci associated with chromosomal recombination using high-density linkage mapping in Setaria
title Detection of genomic loci associated with chromosomal recombination using high-density linkage mapping in Setaria
title_full Detection of genomic loci associated with chromosomal recombination using high-density linkage mapping in Setaria
title_fullStr Detection of genomic loci associated with chromosomal recombination using high-density linkage mapping in Setaria
title_full_unstemmed Detection of genomic loci associated with chromosomal recombination using high-density linkage mapping in Setaria
title_short Detection of genomic loci associated with chromosomal recombination using high-density linkage mapping in Setaria
title_sort detection of genomic loci associated with chromosomal recombination using high-density linkage mapping in setaria
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680217/
https://www.ncbi.nlm.nih.gov/pubmed/29123199
http://dx.doi.org/10.1038/s41598-017-15576-2
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