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DOI10.1016/j.foreco.2018.10.045
Concept for gene conservation strategy for the endangered Chinese yellowhorn, Xanthoceras sorbifolium, based on simulation of pairwise kinship coefficients
El-Kassaby Y.A.; Wang Q.; Wang T.; Ratcliffe B.; Bi Q.-X.; Wang Z.; Mao J.-F.; Guan W.
发表日期2019
ISSN0378-1127
起始页码976
结束页码982
卷号432
英文摘要A molecular markers-based conservation strategy framework for the endemic endangered Chinese yellowhorn, Xanthoceras sorbifolium, is developed. The method utilizes pairwise kinship coefficients, a measure of genetic similarity/dissimilarity, between individuals and contrasts two simulated mating schemes that either promote “no co-ancestry” or “co-ancestry” through multiple matings of particular individuals as well as a “hybrid” scenario involving both “no co-ancestry” and “co-ancestry” mating schemes. Selection of mating individuals is focused on maximizing genetic dissimilarity, hence capturing maximum genetic diversity. These approaches were compared on a population of 79 ancient yellowhorn trees scattered across 13 populations. Simulated matings were evaluated based on their average pairwise kinship, effective population size, and average number of alleles/locus. In this regard, no co-ancestry has been proven to be superior to co-ancestry mating scheme; however, co-ancestry offered opportunities for increasing effective population size, a desirable attribute for combating the detrimental effect of genetic drift. The hybrid approach, with reduced number of crosses, produced acceptable condition with maximum genetic diversity and high effective population size and genetic dissimilarity among the produced offspring. The advantages and disadvantages of marker-based gene conservation are highlighted and discussed. Subject area: Conservation genetics and biodiversity. © 2018
英文关键词Conservation; Genetic diversity; Microsatellites; Pairwise kinship relationship; Yellowhorn
语种英语
scopus关键词Conservation; Genes; Population statistics; Conservation strategies; Effective population size; Genetic diversity; Genetic similarities; Microsatellites; Molecular marker; Pairwise kinship relationship; Yellowhorn; Biodiversity; ancestry; conservation genetics; conservation planning; deciduous tree; effective population size; endangered species; genetic variation; kinship; Biodiversity; Chinese; Coefficients; Conservation; Drift; Genes; Genetics; Trees; Xanthoceras sorbifolium
来源期刊Forest Ecology and Management
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/156318
作者单位Department of Forest and Conservation Sciences, Faculty of Forestry, The University of British Columbia, Vancouver, V6T 1Z4, Canada; School of Nature Conservation, Beijing Forestry University, Beijing, 100083, China; State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China; Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China
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GB/T 7714
El-Kassaby Y.A.,Wang Q.,Wang T.,et al. Concept for gene conservation strategy for the endangered Chinese yellowhorn, Xanthoceras sorbifolium, based on simulation of pairwise kinship coefficients[J],2019,432.
APA El-Kassaby Y.A..,Wang Q..,Wang T..,Ratcliffe B..,Bi Q.-X..,...&Guan W..(2019).Concept for gene conservation strategy for the endangered Chinese yellowhorn, Xanthoceras sorbifolium, based on simulation of pairwise kinship coefficients.Forest Ecology and Management,432.
MLA El-Kassaby Y.A.,et al."Concept for gene conservation strategy for the endangered Chinese yellowhorn, Xanthoceras sorbifolium, based on simulation of pairwise kinship coefficients".Forest Ecology and Management 432(2019).
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