Construction of a High-Density Genetic Map and Identification of Leaf Trait-Related QTLs in Chinese Bayberry (Myrica rubra)

Chinese bayberry (Myrica rubra) is an economically important fruit tree that is grown in southern China. Owing to its over 10-year seedling period, the crossbreeding of bayberry is challenging. The characteristics of plant leaves are among the primary factors that control plant architecture and pote...

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Main Authors: Shuwen Zhang, Zheping Yu, Xingjiang Qi, Zhao Wang, Yuanyuan Zheng, Haiying Ren, Senmiao Liang, Xiliang Zheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2021.675855/full
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author Shuwen Zhang
Zheping Yu
Xingjiang Qi
Zhao Wang
Yuanyuan Zheng
Haiying Ren
Senmiao Liang
Xiliang Zheng
author_facet Shuwen Zhang
Zheping Yu
Xingjiang Qi
Zhao Wang
Yuanyuan Zheng
Haiying Ren
Senmiao Liang
Xiliang Zheng
author_sort Shuwen Zhang
collection DOAJ
description Chinese bayberry (Myrica rubra) is an economically important fruit tree that is grown in southern China. Owing to its over 10-year seedling period, the crossbreeding of bayberry is challenging. The characteristics of plant leaves are among the primary factors that control plant architecture and potential yields, making the analysis of leaf trait-related genetic factors crucial to the hybrid breeding of any plant. In the present study, molecular markers associated with leaf traits were identified via a whole-genome re-sequencing approach, and a genetic map was thereby constructed. In total, this effort yielded 902.11 Gb of raw data that led to the identification of 2,242,353 single nucleotide polymorphisms (SNPs) in 140 F1 individuals and parents (Myrica rubra cv. Biqizhong × Myrica rubra cv. 2012LXRM). The final genetic map ultimately incorporated 31,431 SNPs in eight linkage groups, spanning 1,351.85 cM. This map was then used to assemble and update previous scaffold genomic data at the chromosomal level. The genome size of M. rubra was thereby established to be 275.37 Mb, with 94.98% of sequences being assembled into eight pseudo-chromosomes. Additionally, 18 quantitative trait loci (QTLs) associated with nine leaf and growth-related traits were identified. Two QTL clusters were detected (the LG3 and LG5 clusters). Functional annotations further suggested two chlorophyll content-related candidate genes being identified in the LG5 cluster. Overall, this is the first study on the QTL mapping and identification of loci responsible for the regulation of leaf traits in M. rubra, offering an invaluable scientific for future marker-assisted selection breeding and candidate gene analyses.
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spelling doaj.art-ca321eaebe484c81aef374a56ec4beea2022-12-21T18:42:27ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2021-06-011210.3389/fpls.2021.675855675855Construction of a High-Density Genetic Map and Identification of Leaf Trait-Related QTLs in Chinese Bayberry (Myrica rubra)Shuwen ZhangZheping YuXingjiang QiZhao WangYuanyuan ZhengHaiying RenSenmiao LiangXiliang ZhengChinese bayberry (Myrica rubra) is an economically important fruit tree that is grown in southern China. Owing to its over 10-year seedling period, the crossbreeding of bayberry is challenging. The characteristics of plant leaves are among the primary factors that control plant architecture and potential yields, making the analysis of leaf trait-related genetic factors crucial to the hybrid breeding of any plant. In the present study, molecular markers associated with leaf traits were identified via a whole-genome re-sequencing approach, and a genetic map was thereby constructed. In total, this effort yielded 902.11 Gb of raw data that led to the identification of 2,242,353 single nucleotide polymorphisms (SNPs) in 140 F1 individuals and parents (Myrica rubra cv. Biqizhong × Myrica rubra cv. 2012LXRM). The final genetic map ultimately incorporated 31,431 SNPs in eight linkage groups, spanning 1,351.85 cM. This map was then used to assemble and update previous scaffold genomic data at the chromosomal level. The genome size of M. rubra was thereby established to be 275.37 Mb, with 94.98% of sequences being assembled into eight pseudo-chromosomes. Additionally, 18 quantitative trait loci (QTLs) associated with nine leaf and growth-related traits were identified. Two QTL clusters were detected (the LG3 and LG5 clusters). Functional annotations further suggested two chlorophyll content-related candidate genes being identified in the LG5 cluster. Overall, this is the first study on the QTL mapping and identification of loci responsible for the regulation of leaf traits in M. rubra, offering an invaluable scientific for future marker-assisted selection breeding and candidate gene analyses.https://www.frontiersin.org/articles/10.3389/fpls.2021.675855/fullMyrica rubrare-sequencinggenetic mapquantitative trait loci mappingleaf traits
spellingShingle Shuwen Zhang
Zheping Yu
Xingjiang Qi
Zhao Wang
Yuanyuan Zheng
Haiying Ren
Senmiao Liang
Xiliang Zheng
Construction of a High-Density Genetic Map and Identification of Leaf Trait-Related QTLs in Chinese Bayberry (Myrica rubra)
Frontiers in Plant Science
Myrica rubra
re-sequencing
genetic map
quantitative trait loci mapping
leaf traits
title Construction of a High-Density Genetic Map and Identification of Leaf Trait-Related QTLs in Chinese Bayberry (Myrica rubra)
title_full Construction of a High-Density Genetic Map and Identification of Leaf Trait-Related QTLs in Chinese Bayberry (Myrica rubra)
title_fullStr Construction of a High-Density Genetic Map and Identification of Leaf Trait-Related QTLs in Chinese Bayberry (Myrica rubra)
title_full_unstemmed Construction of a High-Density Genetic Map and Identification of Leaf Trait-Related QTLs in Chinese Bayberry (Myrica rubra)
title_short Construction of a High-Density Genetic Map and Identification of Leaf Trait-Related QTLs in Chinese Bayberry (Myrica rubra)
title_sort construction of a high density genetic map and identification of leaf trait related qtls in chinese bayberry myrica rubra
topic Myrica rubra
re-sequencing
genetic map
quantitative trait loci mapping
leaf traits
url https://www.frontiersin.org/articles/10.3389/fpls.2021.675855/full
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