Genetic Diversity and Population Structure of Medemia argun (Mart.) Wurttenb. ex H.Wendl. Based on Genome-Wide Markers

被引:4
|
作者
Elshibli, Sakina [1 ]
Korpelainen, Helena [1 ]
机构
[1] Univ Helsinki, Dept Agr Sci, Viikki Plant Sci Ctr, Helsinki, Finland
来源
FRONTIERS IN ECOLOGY AND EVOLUTION | 2021年 / 09卷
关键词
Medemia argun; genetic diversity; Sudan; Nubian Desert; SNP markers; SilicoDArT markers; conservation; NEOTROPICAL PALM; RELATIVE RATES; FLOW; CHLOROPLAST; POLLEN; NUCLEAR; DIFFERENTIATION; MITOCHONDRIAL; CONSEQUENCES; CONSERVATION;
D O I
10.3389/fevo.2021.687188
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Medemia argun is a wild, dioecious palm, adapted to the harsh arid environment of the Nubian Desert in Sudan and southern Egypt. There is a concern about its conservation status, since little is known about its distribution, abundance, and genetic variation. M. argun grows on the floodplains of seasonal rivers (wadis). The continuing loss of suitable habitats in the Nubian Desert is threatening the survival of this species. We analyzed the genetic diversity, population genetic structure, and occurrence of M. argun populations to foster the development of conservation strategies for M. argun. Genotyping-by-sequencing (GBS) analyses were performed using a whole-genome profiling service. We found an overall low genetic diversity and moderate genetic structuring based on 40 single-nucleotide polymorphisms (SNPs) and 9,866 SilicoDArT markers. The expected heterozygosity of the total population (H-T) equaled 0.036 and 0.127, and genetic differentiation among populations/groups (F-ST) was 0.052 and 0.092, based on SNP and SilicoDArT markers, respectively. Bayesian clustering analyses defined five genetic clusters that did not display any ancestral gene flow among each other. Based on SilicoDArT markers, the results of the analysis of molecular variance (AMOVA) confirmed the previously observed genetic differentiation among generation groups (23%; p < 0.01). Pairwise F-ST values indicated a genetic gap between old and young individuals. The observed low genetic diversity and its loss among generation groups, even under the detected high gene flow, show genetically vulnerable M. argun populations in the Nubian Desert in Sudan. To enrich and maintain genetic variability in these populations, conservation plans are required, including collection of seed material from genetically diverse populations and development of ex situ gene banks.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Genetic Diversity and Population Structure ofCannabisBased on the Genome-Wide Development of Simple Sequence Repeat Markers
    Zhang, Jiangjiang
    Yan, Jiangtao
    Huang, Siqi
    Pan, Gen
    Chang, Li
    Li, Jianjun
    Zhang, Chao
    Tang, Huijuan
    Chen, Anguo
    Peng, Dingxiang
    Biswas, Ashok
    Zhang, Cuiping
    Zhao, Lining
    Li, Defang
    FRONTIERS IN GENETICS, 2020, 11
  • [2] Genetic diversity and population structure of eddoe taro in China using genome-wide SNP markers
    Wang, Zhixin
    Sun, Yalin
    Huang, Xinfang
    Li, Feng
    Liu, Yuping
    Zhu, Honglian
    Liu, Zhengwei
    Ke, Weidong
    PEERJ, 2020, 8
  • [3] Analysis of genetic diversity and genetic structure of indigenous chicken populations in Guizhou province based on genome-wide single nucleotide polymorphism markers
    Wu, Sheng
    Chen, Zhiwen
    Zhou, Xiaohong
    Lu, Juanhong
    Tian, Yingping
    Jiang, Yaozhou
    Liu, Qinsong
    Wang, Zhong
    Li, Hui
    Qu, Lujiang
    Zhang, Fuping
    POULTRY SCIENCE, 2024, 103 (12)
  • [4] Genome-wide SNP analysis to assess the genetic population structure and diversity of Acrocomia species
    Diaz, Brenda Gabriela
    Zucchi, Maria Imaculada
    Alves-Pereira, Alessandro
    de Almeida, Caleo Panhoca
    Lima Moraes, Aline Costa
    Vianna, Suelen Alves
    Azevedo-Filho, Joaquim
    Colombo, Carlos Augusto
    PLOS ONE, 2021, 16 (07):
  • [5] Genetic Diversity, Population Structure, and Linkage Disequilibrium of an Association-Mapping Panel Revealed by Genome-Wide SNP Markers in Sesame
    Cui, Chengqi
    Mei, Hongxian
    Liu, Yanyang
    Zhang, Haiyang
    Zheng, Yongzhan
    FRONTIERS IN PLANT SCIENCE, 2017, 8
  • [6] Genome-wide analysis reveals the patterns of genetic diversity and population structure of 8 Italian local chicken breeds
    Cendron, F.
    Mastrangelo, S.
    Tolone, M.
    Perini, F.
    Lasagna, E.
    Cassandro, M.
    POULTRY SCIENCE, 2021, 100 (02) : 441 - 451
  • [7] Genetic diversity and structure of Acrocomia aculeata (Jacq.) Lodd. ex Mart. (Arecaceae) using microsatellite DNA markers in Costa Rica
    Valeria Navarro-Cascante
    Elizabeth Arnáez-Serrano
    Mónica Rojas-Gómez
    Ileana Moreira González
    Guillermo Vargas-Hernández
    Nelson A. Zamora
    Elemer Briceño-Elizondo
    Jonathan Morales-Marroquín
    Pamela Sevilla-Cortés
    Jesús Antonio Oviedo-Ulate
    Emanuel Araya-Valverde
    Genetic Resources and Crop Evolution, 2023, 70 : 1277 - 1288
  • [8] Structure and genetic diversity of macauba [Acrocomia aculeata (Jacq.) Lodd. ex Mart.] approached by SNP markers to assist breeding strategies
    Laviola, Bruno Galveas
    dos Santos, Adriano
    Rodrigues, Erina Vitorio
    Ribeiro Teodoro, Larissa Pereira
    Teodoro, Paulo Eduardo
    Rosado, Tatiana Barbosa
    Guimaraes, Cintia Goncalves
    Carson Schwartzhaupt da Conceicao, Leo Duc Haa
    GENETIC RESOURCES AND CROP EVOLUTION, 2022, 69 (03) : 1179 - 1191
  • [9] Genetic diversity and structure of Acrocomia aculeata (Jacq.) Lodd. ex Mart. (Arecaceae) using microsatellite DNA markers in Costa Rica
    Navarro-Cascante, Valeria
    Arnaez-Serrano, Elizabeth
    Rojas-Gomez, Monica
    Gonzalez, Ileana Moreira
    Vargas-Hernandez, Guillermo
    Zamora, Nelson A. A.
    Briceno-Elizondo, Elemer
    Morales-Marroquin, Jonathan
    Sevilla-Cortes, Pamela
    Oviedo-Ulate, Jesus Antonio
    Araya-Valverde, Emanuel
    GENETIC RESOURCES AND CROP EVOLUTION, 2023, 70 (04) : 1277 - 1288
  • [10] Population Structure and Genetic Diversity of Cucurbita moschata Based on Genome-Wide High-Quality SNPs
    Lee, Hea-Young
    Jang, Siyoung
    Yu, Chea-Rin
    Kang, Byoung-Cheorl
    Chin, Joong-Hyoun
    Song, Kihwan
    PLANTS-BASEL, 2021, 10 (01): : 1 - 10