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ddRAD-seq derived genome-wide SNPs, high density linkage map and QTLs for fruit quality traits in strawberry (Fragaria x ananassa)
Understanding the genetic determinants are essential for improving the fruit quality traits of strawberry. In this study, we focused on mapping the loci for fruit-length (FL), -diameter (FD), -weight (FW) and -soluble solid content (SSC) using the genome-wide single nucleotide polymorphisms (SNPs) i...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385052/ https://www.ncbi.nlm.nih.gov/pubmed/32760641 http://dx.doi.org/10.1007/s13205-020-02291-5 |
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author | Natarajan, Sathishkumar Hossain, Mohammad Rashed Kim, Hoy-Taek Denison, Michael Immanuel Jesse Ferdous, Mostari Jahan Jung, Hee-Jeong Park, Jong-In Nou, Ill-Sup |
author_facet | Natarajan, Sathishkumar Hossain, Mohammad Rashed Kim, Hoy-Taek Denison, Michael Immanuel Jesse Ferdous, Mostari Jahan Jung, Hee-Jeong Park, Jong-In Nou, Ill-Sup |
author_sort | Natarajan, Sathishkumar |
collection | PubMed |
description | Understanding the genetic determinants are essential for improving the fruit quality traits of strawberry. In this study, we focused on mapping the loci for fruit-length (FL), -diameter (FD), -weight (FW) and -soluble solid content (SSC) using the genome-wide single nucleotide polymorphisms (SNPs) identified via ddRAD-sequencing of the F(1) population raised from Maehyang (♀) X Festival (♂). A total of 12,698 high quality SNPs were identified of which 1554 SNPs that showed significant Mendelian segregation (p < 0.05) were mapped to 53 linkage groups (LG) spanning a total of 2937.93 cM with an average marker density of 2.14 cM/locus. Six QTLs for FL and four QTLs for each of FD, FW and SSC were identified that explained 24–35%, 21–42%, 24–54% and 23–50% of overall phenotypic variations, respectively. The genes that lie within these QTL regions were extracted and discussed thoroughly. In addition, a high resolution melting marker (MF154) were designed based on the SNP A1(723)G of the UDP-glucose 4-epimerase GEPI48-like gene FAN_iscf00021287. The marker detected the high vs low sugar containing F(1) plants and commercial cultivars with 81.39% and 86.95% detection accuracy, respectively. These SNPs, linkage map, QTLs and candidate genes will be helpful in understanding and improving the fruit quality traits of strawberry. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13205-020-02291-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7385052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-73850522020-08-04 ddRAD-seq derived genome-wide SNPs, high density linkage map and QTLs for fruit quality traits in strawberry (Fragaria x ananassa) Natarajan, Sathishkumar Hossain, Mohammad Rashed Kim, Hoy-Taek Denison, Michael Immanuel Jesse Ferdous, Mostari Jahan Jung, Hee-Jeong Park, Jong-In Nou, Ill-Sup 3 Biotech Original Article Understanding the genetic determinants are essential for improving the fruit quality traits of strawberry. In this study, we focused on mapping the loci for fruit-length (FL), -diameter (FD), -weight (FW) and -soluble solid content (SSC) using the genome-wide single nucleotide polymorphisms (SNPs) identified via ddRAD-sequencing of the F(1) population raised from Maehyang (♀) X Festival (♂). A total of 12,698 high quality SNPs were identified of which 1554 SNPs that showed significant Mendelian segregation (p < 0.05) were mapped to 53 linkage groups (LG) spanning a total of 2937.93 cM with an average marker density of 2.14 cM/locus. Six QTLs for FL and four QTLs for each of FD, FW and SSC were identified that explained 24–35%, 21–42%, 24–54% and 23–50% of overall phenotypic variations, respectively. The genes that lie within these QTL regions were extracted and discussed thoroughly. In addition, a high resolution melting marker (MF154) were designed based on the SNP A1(723)G of the UDP-glucose 4-epimerase GEPI48-like gene FAN_iscf00021287. The marker detected the high vs low sugar containing F(1) plants and commercial cultivars with 81.39% and 86.95% detection accuracy, respectively. These SNPs, linkage map, QTLs and candidate genes will be helpful in understanding and improving the fruit quality traits of strawberry. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13205-020-02291-5) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-07-27 2020-08 /pmc/articles/PMC7385052/ /pubmed/32760641 http://dx.doi.org/10.1007/s13205-020-02291-5 Text en © The Author(s) 2020 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/. |
spellingShingle | Original Article Natarajan, Sathishkumar Hossain, Mohammad Rashed Kim, Hoy-Taek Denison, Michael Immanuel Jesse Ferdous, Mostari Jahan Jung, Hee-Jeong Park, Jong-In Nou, Ill-Sup ddRAD-seq derived genome-wide SNPs, high density linkage map and QTLs for fruit quality traits in strawberry (Fragaria x ananassa) |
title | ddRAD-seq derived genome-wide SNPs, high density linkage map and QTLs for fruit quality traits in strawberry (Fragaria x ananassa) |
title_full | ddRAD-seq derived genome-wide SNPs, high density linkage map and QTLs for fruit quality traits in strawberry (Fragaria x ananassa) |
title_fullStr | ddRAD-seq derived genome-wide SNPs, high density linkage map and QTLs for fruit quality traits in strawberry (Fragaria x ananassa) |
title_full_unstemmed | ddRAD-seq derived genome-wide SNPs, high density linkage map and QTLs for fruit quality traits in strawberry (Fragaria x ananassa) |
title_short | ddRAD-seq derived genome-wide SNPs, high density linkage map and QTLs for fruit quality traits in strawberry (Fragaria x ananassa) |
title_sort | ddrad-seq derived genome-wide snps, high density linkage map and qtls for fruit quality traits in strawberry (fragaria x ananassa) |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385052/ https://www.ncbi.nlm.nih.gov/pubmed/32760641 http://dx.doi.org/10.1007/s13205-020-02291-5 |
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