Development of SNP Marker Sets for Marker-Assisted Background Selection in Cultivated Cucumber Varieties

Marker-assisted background selection is a powerful molecular tool that can enhance breeding efficiency through the analysis of a large number of markers representing the entire genomic background for precise selection. In the present study, the transcriptomes of 38 cucumber inbred lines with diverse...

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Main Authors: Eun Su Lee, Hee-Bum Yang, Jinhee Kim, Hye-Eun Lee, Ye-Rin Lee, Do-Sun Kim
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/12/2/487
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author Eun Su Lee
Hee-Bum Yang
Jinhee Kim
Hye-Eun Lee
Ye-Rin Lee
Do-Sun Kim
author_facet Eun Su Lee
Hee-Bum Yang
Jinhee Kim
Hye-Eun Lee
Ye-Rin Lee
Do-Sun Kim
author_sort Eun Su Lee
collection DOAJ
description Marker-assisted background selection is a powerful molecular tool that can enhance breeding efficiency through the analysis of a large number of markers representing the entire genomic background for precise selection. In the present study, the transcriptomes of 38 cucumber inbred lines with diverse traits were sequenced for single nucleotide polymorphism (SNP) mining for practical application to commercial cucumber breeding. A total of 62,378 high-quality SNPs were identified, of which 2462 SNPs were chosen based on the stringent filtering parameters. Finally, 363 evenly distributed common background selection markers (BMs) were developed and validated through polymorphism analysis and phylogenetic analysis using breeding materials with different genetic backgrounds; 327 out of 363 common BMs were useful for background selection. Moreover, the results of the phylogenetic analysis carried out using 50 selected core BMs were consistent with those for 327 common BMs. However, when the genotypes of breeding materials belonging to only the Baekdadagi-type were analyzed, the 327 common BMs showed a significant reduction in polymorphisms within the biased genomic locations. To address this issue, 59 highly polymorphic markers were selected as Baekdadagi BMs, as they showed better selection ability for the Baekdadagi-type. The 327 common BMs developed in the present study will enable efficient marker-assisted background selection in cucumber. Additionally, to reduce the genotyping cost, we suggested an alternative background selection strategy using both evenly distributed core BMs and biased Baekdadagi BMs for the improvement of commercial cucumber breeding programs.
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spelling doaj.art-8243fdcdfa584a53902fa11db761e32e2023-11-23T18:22:53ZengMDPI AGAgronomy2073-43952022-02-0112248710.3390/agronomy12020487Development of SNP Marker Sets for Marker-Assisted Background Selection in Cultivated Cucumber VarietiesEun Su Lee0Hee-Bum Yang1Jinhee Kim2Hye-Eun Lee3Ye-Rin Lee4Do-Sun Kim5Vegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, KoreaVegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, KoreaVegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, KoreaVegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, KoreaVegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, KoreaVegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Wanju 55365, KoreaMarker-assisted background selection is a powerful molecular tool that can enhance breeding efficiency through the analysis of a large number of markers representing the entire genomic background for precise selection. In the present study, the transcriptomes of 38 cucumber inbred lines with diverse traits were sequenced for single nucleotide polymorphism (SNP) mining for practical application to commercial cucumber breeding. A total of 62,378 high-quality SNPs were identified, of which 2462 SNPs were chosen based on the stringent filtering parameters. Finally, 363 evenly distributed common background selection markers (BMs) were developed and validated through polymorphism analysis and phylogenetic analysis using breeding materials with different genetic backgrounds; 327 out of 363 common BMs were useful for background selection. Moreover, the results of the phylogenetic analysis carried out using 50 selected core BMs were consistent with those for 327 common BMs. However, when the genotypes of breeding materials belonging to only the Baekdadagi-type were analyzed, the 327 common BMs showed a significant reduction in polymorphisms within the biased genomic locations. To address this issue, 59 highly polymorphic markers were selected as Baekdadagi BMs, as they showed better selection ability for the Baekdadagi-type. The 327 common BMs developed in the present study will enable efficient marker-assisted background selection in cucumber. Additionally, to reduce the genotyping cost, we suggested an alternative background selection strategy using both evenly distributed core BMs and biased Baekdadagi BMs for the improvement of commercial cucumber breeding programs.https://www.mdpi.com/2073-4395/12/2/487cucumbergenetic background selectionSNP miningmolecular markersNGS analysis
spellingShingle Eun Su Lee
Hee-Bum Yang
Jinhee Kim
Hye-Eun Lee
Ye-Rin Lee
Do-Sun Kim
Development of SNP Marker Sets for Marker-Assisted Background Selection in Cultivated Cucumber Varieties
Agronomy
cucumber
genetic background selection
SNP mining
molecular markers
NGS analysis
title Development of SNP Marker Sets for Marker-Assisted Background Selection in Cultivated Cucumber Varieties
title_full Development of SNP Marker Sets for Marker-Assisted Background Selection in Cultivated Cucumber Varieties
title_fullStr Development of SNP Marker Sets for Marker-Assisted Background Selection in Cultivated Cucumber Varieties
title_full_unstemmed Development of SNP Marker Sets for Marker-Assisted Background Selection in Cultivated Cucumber Varieties
title_short Development of SNP Marker Sets for Marker-Assisted Background Selection in Cultivated Cucumber Varieties
title_sort development of snp marker sets for marker assisted background selection in cultivated cucumber varieties
topic cucumber
genetic background selection
SNP mining
molecular markers
NGS analysis
url https://www.mdpi.com/2073-4395/12/2/487
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