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A bulked segregant analysis tool for out-crossing species (BSATOS) and QTL-based genomics-assisted prediction of complex traits in apple
INTRODUCTION: Genomic heterozygosity, self-incompatibility, and rich-in somatic mutations hinder the molecular breeding efficiency of outcrossing plants. OBJECTIVES: We attempted to develop an efficient integrated strategy to identify quantitative trait loci (QTLs) and trait-associated genes, to dev...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788957/ https://www.ncbi.nlm.nih.gov/pubmed/36513410 http://dx.doi.org/10.1016/j.jare.2022.03.013 |
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author | Shen, Fei Bianco, Luca Wu, Bei Tian, Zhendong Wang, Yi Wu, Ting Xu, Xuefeng Han, Zhenhai Velasco, Riccardo Fontana, Paolo Zhang, Xinzhong |
author_facet | Shen, Fei Bianco, Luca Wu, Bei Tian, Zhendong Wang, Yi Wu, Ting Xu, Xuefeng Han, Zhenhai Velasco, Riccardo Fontana, Paolo Zhang, Xinzhong |
author_sort | Shen, Fei |
collection | PubMed |
description | INTRODUCTION: Genomic heterozygosity, self-incompatibility, and rich-in somatic mutations hinder the molecular breeding efficiency of outcrossing plants. OBJECTIVES: We attempted to develop an efficient integrated strategy to identify quantitative trait loci (QTLs) and trait-associated genes, to develop gene markers, and to construct genomics-assisted prediction (GAP) modes. METHODS: A novel protocol, bulked segregant analysis tool for out-crossing species (BSATOS), is presented here, which is characterized by taking full advantage of all segregation patterns (including AB × AB markers) and haplotype information. To verify the effectiveness of the protocol in dealing with the complex traits of outbreeding species, three apple cross populations with 9,654 individuals were adopted. RESULTS: By using BSATOS, 90, 60, and 77 significant QTLs were identified successfully and candidate genes were predicted for apple fruit weight (FW), fruit ripening date (FRD), and fruit soluble solid content (SSC), respectively. The gene-based markers were developed and genotyped for 1,396 individuals in a training population, including 145 Malus accessions and 1,251 F1 plants of the three full-sib families. GAP models were trained using marker genotype effect estimates of the training population. The prediction accuracy was 0.7658, 0.6455, and 0.3758 for FW, FRD, and SSC, respectively. CONCLUSION: The BSATOS and GAP models provided a convenient and efficient methodology for candidate gene mining and molecular breeding in out-crossing plant species. The BSATOS pipeline can be freely downloaded from: https://github.com/maypoleflyn/BSATOS. |
format | Online Article Text |
id | pubmed-9788957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-97889572022-12-25 A bulked segregant analysis tool for out-crossing species (BSATOS) and QTL-based genomics-assisted prediction of complex traits in apple Shen, Fei Bianco, Luca Wu, Bei Tian, Zhendong Wang, Yi Wu, Ting Xu, Xuefeng Han, Zhenhai Velasco, Riccardo Fontana, Paolo Zhang, Xinzhong J Adv Res Original Article INTRODUCTION: Genomic heterozygosity, self-incompatibility, and rich-in somatic mutations hinder the molecular breeding efficiency of outcrossing plants. OBJECTIVES: We attempted to develop an efficient integrated strategy to identify quantitative trait loci (QTLs) and trait-associated genes, to develop gene markers, and to construct genomics-assisted prediction (GAP) modes. METHODS: A novel protocol, bulked segregant analysis tool for out-crossing species (BSATOS), is presented here, which is characterized by taking full advantage of all segregation patterns (including AB × AB markers) and haplotype information. To verify the effectiveness of the protocol in dealing with the complex traits of outbreeding species, three apple cross populations with 9,654 individuals were adopted. RESULTS: By using BSATOS, 90, 60, and 77 significant QTLs were identified successfully and candidate genes were predicted for apple fruit weight (FW), fruit ripening date (FRD), and fruit soluble solid content (SSC), respectively. The gene-based markers were developed and genotyped for 1,396 individuals in a training population, including 145 Malus accessions and 1,251 F1 plants of the three full-sib families. GAP models were trained using marker genotype effect estimates of the training population. The prediction accuracy was 0.7658, 0.6455, and 0.3758 for FW, FRD, and SSC, respectively. CONCLUSION: The BSATOS and GAP models provided a convenient and efficient methodology for candidate gene mining and molecular breeding in out-crossing plant species. The BSATOS pipeline can be freely downloaded from: https://github.com/maypoleflyn/BSATOS. Elsevier 2022-03-26 /pmc/articles/PMC9788957/ /pubmed/36513410 http://dx.doi.org/10.1016/j.jare.2022.03.013 Text en © 2022 The Authors. Published by Elsevier B.V. on behalf of Cairo University. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Shen, Fei Bianco, Luca Wu, Bei Tian, Zhendong Wang, Yi Wu, Ting Xu, Xuefeng Han, Zhenhai Velasco, Riccardo Fontana, Paolo Zhang, Xinzhong A bulked segregant analysis tool for out-crossing species (BSATOS) and QTL-based genomics-assisted prediction of complex traits in apple |
title | A bulked segregant analysis tool for out-crossing species (BSATOS) and QTL-based genomics-assisted prediction of complex traits in apple |
title_full | A bulked segregant analysis tool for out-crossing species (BSATOS) and QTL-based genomics-assisted prediction of complex traits in apple |
title_fullStr | A bulked segregant analysis tool for out-crossing species (BSATOS) and QTL-based genomics-assisted prediction of complex traits in apple |
title_full_unstemmed | A bulked segregant analysis tool for out-crossing species (BSATOS) and QTL-based genomics-assisted prediction of complex traits in apple |
title_short | A bulked segregant analysis tool for out-crossing species (BSATOS) and QTL-based genomics-assisted prediction of complex traits in apple |
title_sort | bulked segregant analysis tool for out-crossing species (bsatos) and qtl-based genomics-assisted prediction of complex traits in apple |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788957/ https://www.ncbi.nlm.nih.gov/pubmed/36513410 http://dx.doi.org/10.1016/j.jare.2022.03.013 |
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