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Core set construction and association analysis of Pinus massoniana from Guangdong province in southern China using SLAF-seq

Germplasm resource collection and utilization are important in forestry species breeding. High-through sequencing technologies have been playing increasing roles in forestry breeding. In this study, specific-locus amplified fragment sequencing (SLAF-seq) was employed to analyze 149 masson pine (Pinu...

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Autores principales: Bai, Qingsong, Cai, Yanling, He, Boxiang, Liu, Wanchuan, Pan, Qingyou, Zhang, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6739479/
https://www.ncbi.nlm.nih.gov/pubmed/31511632
http://dx.doi.org/10.1038/s41598-019-49737-2
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author Bai, Qingsong
Cai, Yanling
He, Boxiang
Liu, Wanchuan
Pan, Qingyou
Zhang, Qian
author_facet Bai, Qingsong
Cai, Yanling
He, Boxiang
Liu, Wanchuan
Pan, Qingyou
Zhang, Qian
author_sort Bai, Qingsong
collection PubMed
description Germplasm resource collection and utilization are important in forestry species breeding. High-through sequencing technologies have been playing increasing roles in forestry breeding. In this study, specific-locus amplified fragment sequencing (SLAF-seq) was employed to analyze 149 masson pine (Pinus massoniana) accessions collected from Guangdong in China. A large number of 471,660 SNPs in the total collection were identified from 599,164 polymorphic SLAF tags. Population structure analysis showed that 149 masson pines could not be obviously divided into subpopulations. Two core sets, containing 29 masson pine accessions for increasing resin and wood yield respectively, were obtained from the total collection. Phenotypic analyses of five traits showed abundant variations, 25 suggestive and 9 significant SNPs were associated with the resin-yielding capacity (RYC’) and volume of wood (VW) using EMMAX and FaST-LMM; 22 suggestive and 11 significant SNPs were associated with RYC’ and VW using mrMLM and FASTmrMLM. Moreover, a large number of associated SNPs were detected in trait HT, DBH, RW and RYC using mrMLM, FASTmrMLM, FASTmrEMMA and ISIS EM-BLASSO. The core germplasm sets would be a valuable resource for masson pine improvement and breeding. In addition, the associated SNP markers would be meaningful for masson pine resource selection.
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spelling pubmed-67394792019-09-22 Core set construction and association analysis of Pinus massoniana from Guangdong province in southern China using SLAF-seq Bai, Qingsong Cai, Yanling He, Boxiang Liu, Wanchuan Pan, Qingyou Zhang, Qian Sci Rep Article Germplasm resource collection and utilization are important in forestry species breeding. High-through sequencing technologies have been playing increasing roles in forestry breeding. In this study, specific-locus amplified fragment sequencing (SLAF-seq) was employed to analyze 149 masson pine (Pinus massoniana) accessions collected from Guangdong in China. A large number of 471,660 SNPs in the total collection were identified from 599,164 polymorphic SLAF tags. Population structure analysis showed that 149 masson pines could not be obviously divided into subpopulations. Two core sets, containing 29 masson pine accessions for increasing resin and wood yield respectively, were obtained from the total collection. Phenotypic analyses of five traits showed abundant variations, 25 suggestive and 9 significant SNPs were associated with the resin-yielding capacity (RYC’) and volume of wood (VW) using EMMAX and FaST-LMM; 22 suggestive and 11 significant SNPs were associated with RYC’ and VW using mrMLM and FASTmrMLM. Moreover, a large number of associated SNPs were detected in trait HT, DBH, RW and RYC using mrMLM, FASTmrMLM, FASTmrEMMA and ISIS EM-BLASSO. The core germplasm sets would be a valuable resource for masson pine improvement and breeding. In addition, the associated SNP markers would be meaningful for masson pine resource selection. Nature Publishing Group UK 2019-09-11 /pmc/articles/PMC6739479/ /pubmed/31511632 http://dx.doi.org/10.1038/s41598-019-49737-2 Text en © The Author(s) 2019 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
Bai, Qingsong
Cai, Yanling
He, Boxiang
Liu, Wanchuan
Pan, Qingyou
Zhang, Qian
Core set construction and association analysis of Pinus massoniana from Guangdong province in southern China using SLAF-seq
title Core set construction and association analysis of Pinus massoniana from Guangdong province in southern China using SLAF-seq
title_full Core set construction and association analysis of Pinus massoniana from Guangdong province in southern China using SLAF-seq
title_fullStr Core set construction and association analysis of Pinus massoniana from Guangdong province in southern China using SLAF-seq
title_full_unstemmed Core set construction and association analysis of Pinus massoniana from Guangdong province in southern China using SLAF-seq
title_short Core set construction and association analysis of Pinus massoniana from Guangdong province in southern China using SLAF-seq
title_sort core set construction and association analysis of pinus massoniana from guangdong province in southern china using slaf-seq
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6739479/
https://www.ncbi.nlm.nih.gov/pubmed/31511632
http://dx.doi.org/10.1038/s41598-019-49737-2
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