Construction of the Core Collection of <i>Catalpa fargesii</i> f. <i>duclouxii</i> (Huangxinzimu) Based on Molecular Markers and Phenotypic Traits

To promote the conservation and utilization of <i>Catalpa fargesii</i> f. <i>duclouxii</i> (Huangxinzimu) germplasm resources, a total of 252 accessions were used to construct a preliminary core collection according to phenotypic traits and single nucleotide polymorphism (SNP...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Huifen Xue, Xiaochi Yu, Pengyue Fu, Bingyang Liu, Shen Zhang, Jie Li, Wenji Zhai, Nan Lu, Xiyang Zhao, Junhui Wang, Wenjun Ma
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Acceso en línea:https://doaj.org/article/15b0d59a64144cfb8dc1e2cff81285f4
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:15b0d59a64144cfb8dc1e2cff81285f4
record_format dspace
spelling oai:doaj.org-article:15b0d59a64144cfb8dc1e2cff81285f42021-11-25T17:38:11ZConstruction of the Core Collection of <i>Catalpa fargesii</i> f. <i>duclouxii</i> (Huangxinzimu) Based on Molecular Markers and Phenotypic Traits10.3390/f121115181999-4907https://doaj.org/article/15b0d59a64144cfb8dc1e2cff81285f42021-11-01T00:00:00Zhttps://www.mdpi.com/1999-4907/12/11/1518https://doaj.org/toc/1999-4907To promote the conservation and utilization of <i>Catalpa fargesii</i> f. <i>duclouxii</i> (Huangxinzimu) germplasm resources, a total of 252 accessions were used to construct a preliminary core collection according to phenotypic traits and single nucleotide polymorphism (SNP) markers. In this study, 24 phenotypic traits, namely, 9 quantitative traits and 15 qualitative traits, were investigated. The core collection of <i>C. fargesii</i> f. <i>duclouxii</i> (Huangxinzimu) was constructed to remove redundant samples from the collected materials. First, the phenotypic core collection, with a sample proportion of 30, consisting of 24 clones, was constructed according to two genetic distances (Euclidean distance and Mahalanobis), four system clustering methods (the unweighted pair-group average method, Ward’s method, the complete linkage method, and the single linkage method), and three sampling methods (random sampling, deviation sampling, and preferred sampling). The best construction strategies were selected for further comparison. Three core collections (D2C3S3-30, D2C3S3-50, and D2C3S3-70) were constructed according to the optimal construction strategy at three sampling proportions. The core collection D2C3S3-30 with the best parameters was evaluated by using six parameters: the mean difference percentage (<i>MD</i>), variance difference percentage (<i>VD</i>), periodic rate of range (<i>CR</i>), changeable rate of the coefficient of variation (<i>VR</i>), minimum rate of change (<i>CR<sub>MIN</sub></i>), and maximum rate of change (<i>CR<sub>MAX</sub></i>). Three core collections (M-30, M-50, and M-70) were constructed by molecular markers, and the optimal core collection M-30 was selected by using five parameters, namely, <i>H<sub>o</sub></i>, <i>He</i>, <i>PIC</i>, <i>MAF</i>, and <i>loci</i>. The combination of D2C3S3-30 and M-30 was used to construct the final core collection DM-45, 45 samples representing the complete range of phenotypic and genetic variability. In this study, phenotypic traits combined with molecular markers were used to construct core collections to effectively capture the entire range of trait variation, effectively representing the original germplasm and providing a basis for the conservation and utilization of <i>C</i><i>. fargesii</i> f. <i>duclouxii</i> (Huangxinzimu).Huifen XueXiaochi YuPengyue FuBingyang LiuShen ZhangJie LiWenji ZhaiNan LuXiyang ZhaoJunhui WangWenjun MaMDPI AGarticle<i>Catalpa fargesii</i> f. <i>duclouxii</i>core collectionphenotypic traitsmolecular markersPlant ecologyQK900-989ENForests, Vol 12, Iss 1518, p 1518 (2021)
institution DOAJ
collection DOAJ
language EN
topic <i>Catalpa fargesii</i> f. <i>duclouxii</i>
core collection
phenotypic traits
molecular markers
Plant ecology
QK900-989
spellingShingle <i>Catalpa fargesii</i> f. <i>duclouxii</i>
core collection
phenotypic traits
molecular markers
Plant ecology
QK900-989
Huifen Xue
Xiaochi Yu
Pengyue Fu
Bingyang Liu
Shen Zhang
Jie Li
Wenji Zhai
Nan Lu
Xiyang Zhao
Junhui Wang
Wenjun Ma
Construction of the Core Collection of <i>Catalpa fargesii</i> f. <i>duclouxii</i> (Huangxinzimu) Based on Molecular Markers and Phenotypic Traits
description To promote the conservation and utilization of <i>Catalpa fargesii</i> f. <i>duclouxii</i> (Huangxinzimu) germplasm resources, a total of 252 accessions were used to construct a preliminary core collection according to phenotypic traits and single nucleotide polymorphism (SNP) markers. In this study, 24 phenotypic traits, namely, 9 quantitative traits and 15 qualitative traits, were investigated. The core collection of <i>C. fargesii</i> f. <i>duclouxii</i> (Huangxinzimu) was constructed to remove redundant samples from the collected materials. First, the phenotypic core collection, with a sample proportion of 30, consisting of 24 clones, was constructed according to two genetic distances (Euclidean distance and Mahalanobis), four system clustering methods (the unweighted pair-group average method, Ward’s method, the complete linkage method, and the single linkage method), and three sampling methods (random sampling, deviation sampling, and preferred sampling). The best construction strategies were selected for further comparison. Three core collections (D2C3S3-30, D2C3S3-50, and D2C3S3-70) were constructed according to the optimal construction strategy at three sampling proportions. The core collection D2C3S3-30 with the best parameters was evaluated by using six parameters: the mean difference percentage (<i>MD</i>), variance difference percentage (<i>VD</i>), periodic rate of range (<i>CR</i>), changeable rate of the coefficient of variation (<i>VR</i>), minimum rate of change (<i>CR<sub>MIN</sub></i>), and maximum rate of change (<i>CR<sub>MAX</sub></i>). Three core collections (M-30, M-50, and M-70) were constructed by molecular markers, and the optimal core collection M-30 was selected by using five parameters, namely, <i>H<sub>o</sub></i>, <i>He</i>, <i>PIC</i>, <i>MAF</i>, and <i>loci</i>. The combination of D2C3S3-30 and M-30 was used to construct the final core collection DM-45, 45 samples representing the complete range of phenotypic and genetic variability. In this study, phenotypic traits combined with molecular markers were used to construct core collections to effectively capture the entire range of trait variation, effectively representing the original germplasm and providing a basis for the conservation and utilization of <i>C</i><i>. fargesii</i> f. <i>duclouxii</i> (Huangxinzimu).
format article
author Huifen Xue
Xiaochi Yu
Pengyue Fu
Bingyang Liu
Shen Zhang
Jie Li
Wenji Zhai
Nan Lu
Xiyang Zhao
Junhui Wang
Wenjun Ma
author_facet Huifen Xue
Xiaochi Yu
Pengyue Fu
Bingyang Liu
Shen Zhang
Jie Li
Wenji Zhai
Nan Lu
Xiyang Zhao
Junhui Wang
Wenjun Ma
author_sort Huifen Xue
title Construction of the Core Collection of <i>Catalpa fargesii</i> f. <i>duclouxii</i> (Huangxinzimu) Based on Molecular Markers and Phenotypic Traits
title_short Construction of the Core Collection of <i>Catalpa fargesii</i> f. <i>duclouxii</i> (Huangxinzimu) Based on Molecular Markers and Phenotypic Traits
title_full Construction of the Core Collection of <i>Catalpa fargesii</i> f. <i>duclouxii</i> (Huangxinzimu) Based on Molecular Markers and Phenotypic Traits
title_fullStr Construction of the Core Collection of <i>Catalpa fargesii</i> f. <i>duclouxii</i> (Huangxinzimu) Based on Molecular Markers and Phenotypic Traits
title_full_unstemmed Construction of the Core Collection of <i>Catalpa fargesii</i> f. <i>duclouxii</i> (Huangxinzimu) Based on Molecular Markers and Phenotypic Traits
title_sort construction of the core collection of <i>catalpa fargesii</i> f. <i>duclouxii</i> (huangxinzimu) based on molecular markers and phenotypic traits
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/15b0d59a64144cfb8dc1e2cff81285f4
work_keys_str_mv AT huifenxue constructionofthecorecollectionoficatalpafargesiiifiduclouxiiihuangxinzimubasedonmolecularmarkersandphenotypictraits
AT xiaochiyu constructionofthecorecollectionoficatalpafargesiiifiduclouxiiihuangxinzimubasedonmolecularmarkersandphenotypictraits
AT pengyuefu constructionofthecorecollectionoficatalpafargesiiifiduclouxiiihuangxinzimubasedonmolecularmarkersandphenotypictraits
AT bingyangliu constructionofthecorecollectionoficatalpafargesiiifiduclouxiiihuangxinzimubasedonmolecularmarkersandphenotypictraits
AT shenzhang constructionofthecorecollectionoficatalpafargesiiifiduclouxiiihuangxinzimubasedonmolecularmarkersandphenotypictraits
AT jieli constructionofthecorecollectionoficatalpafargesiiifiduclouxiiihuangxinzimubasedonmolecularmarkersandphenotypictraits
AT wenjizhai constructionofthecorecollectionoficatalpafargesiiifiduclouxiiihuangxinzimubasedonmolecularmarkersandphenotypictraits
AT nanlu constructionofthecorecollectionoficatalpafargesiiifiduclouxiiihuangxinzimubasedonmolecularmarkersandphenotypictraits
AT xiyangzhao constructionofthecorecollectionoficatalpafargesiiifiduclouxiiihuangxinzimubasedonmolecularmarkersandphenotypictraits
AT junhuiwang constructionofthecorecollectionoficatalpafargesiiifiduclouxiiihuangxinzimubasedonmolecularmarkersandphenotypictraits
AT wenjunma constructionofthecorecollectionoficatalpafargesiiifiduclouxiiihuangxinzimubasedonmolecularmarkersandphenotypictraits
_version_ 1718412150586736640