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., Wang, Z., Mao, J., & Guan, W. Forest Ecology and Management, 432:976–982, January, 2019. ![Concept for gene conservation strategy for the endangered Chinese yellowhorn, Xanthoceras sorbifolium, based on simulation of pairwise kinship coefficients [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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.
@article{el-kassaby_concept_2019,
title = {Concept for gene conservation strategy for the endangered {Chinese} yellowhorn, {Xanthoceras} sorbifolium, based on simulation of pairwise kinship coefficients},
volume = {432},
issn = {0378-1127},
url = {https://www.sciencedirect.com/science/article/pii/S0378112718314543},
doi = {10.1016/j.foreco.2018.10.045},
abstract = {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.},
language = {en},
urldate = {2023-04-27},
journal = {Forest Ecology and Management},
author = {El-Kassaby, Yousry A. and Wang, Qing and Wang, Tongli and Ratcliffe, Blaise and Bi, Quan-Xin and Wang, Zhou and Mao, Jian-Feng and Guan, Wenbin},
month = jan,
year = {2019},
keywords = {Conservation, Genetic diversity, Microsatellites, Pairwise kinship relationship, Yellowhorn},
pages = {976--982},
}
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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. 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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. 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