Development of polymorphic microsatellite markers for Fagus pashanica (Fagaceae) using next-generation sequencing.


Journal

Genes & genetic systems
ISSN: 1880-5779
Titre abrégé: Genes Genet Syst
Pays: Japan
ID NLM: 9607822

Informations de publication

Date de publication:
21 Nov 2023
Historique:
medline: 23 11 2023
pubmed: 26 10 2023
entrez: 25 10 2023
Statut: ppublish

Résumé

Fagus pashanica is an endangered and endemic tree species in China. To understand its genetic diversity and structure for effective conservation, we used next-generation sequencing data to develop a set of microsatellite markers. Twenty-three of the 68 designed loci were successfully amplified. Fifteen polymorphic loci with clear peaks were selected for further analyses in three F. pashanica populations sampled from Nanjiang, Wangcang and Pingwu counties in Sichuan Province, China. The number of alleles per locus ranged from two to 11. The levels of observed and expected heterozygosity ranged from 0.033-0.852 and 0.033-0.787, respectively. All 23 loci were also successfully amplified in F. longipetiolata and F. lucida, and 19 were successfully amplified in F. engleriana. These microsatellite markers will be useful for population genetic studies of F. pashanica and other Fagus species.

Identifiants

pubmed: 37880102
doi: 10.1266/ggs.23-00160
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

277-281

Auteurs

Bi-Ru Zhu (BR)

State Key Laboratory of Earth Surface Processes and Resource Ecology, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Beijing Normal University.

Xiao-Ya Zhang (XY)

State Key Laboratory of Earth Surface Processes and Resource Ecology, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Beijing Normal University.

Xiao-Xi Yang (XX)

State Key Laboratory of Earth Surface Processes and Resource Ecology, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Beijing Normal University.
Xinyuan School.

Wan-Jin Liao (WJ)

State Key Laboratory of Earth Surface Processes and Resource Ecology, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Beijing Normal University.

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Classifications MeSH