Phylogeography and population genetics of Artemisia frigida and A.scoparia

Drylands count among the most globally extensive biomes, and while many desert and dry rangeland ecosystems are under threat, genetic structures of dryland species are still rarely studied. Artemisia frigida is one of the most widely distributed plant species in the temperate rangelands of Eurasia and North America, and it also dominates in many habitats of Mongolia due to its tolerance to low temperatures, drought and disturbance. Local environmental conditions and grazing pressure can influence species performance and affect spatial patterns of genetic diversity in contrasting ways, and our study set out to evaluate such effects on the genetic diversity and structure of A. frigida. We first developed new species-specific Simple Sequence Repeats (SSRs) markers using whole genome sequencing. We then analysed 11 populations of A. frigida that had been sampled along a large climatic gradient in Mongolia, which were sub-structured according to three levels of grazing intensity.

Metadaten im EML-Format herunterladen

Daten und Ressourcen

Dieser Datensatz hat keine Daten

Zusätzliche Informationen

Feld Wert
Geographic coverage
Geographic description Mongolia, China, Kazakhstan, Canada and Russian Siberia
Temporal coverage
Time period
Begin: 2018
End: 2019
Taxonomic coverage
Species Artemisia frigida
Species Artemisia scoparia
General taxonomic description Artemisia frigida and Artemisia scoparia
Andere Informationen
Zuletzt aktualisiert Oktober 30, 2025, 10:51 (UTC)
Erstellt Oktober 30, 2025, 10:49 (UTC)

Responsible parties

Creator and point of contact
Name Oyundelger Khurelpurev
Organization affiliations
Senckenberg Museum für Naturkunde Görlitz

Am Museum, 1
2826 Görlitz
Germany

Associated party
Name Oyunstetseg Batlai
Organization affiliations
National University of Mongolia

Ikh Surgiil Street
Ulaanbaatar
Mongolia

Rolle Processor

Dazugehörige Publikationen

Publikation
Link https://doi.org/10.1111/jeb.13960
Publikation
Link https://doi.org/10.1007/s10592-021-01375-w
Publikation
Link https://doi.org/10.1016/j.jaridenv.2022.104900

Research data management planning

Types of data that will be / are / were created during the project Molecular Sequence Data
Estimated volume of created data <10GB
Data will be stored at (long-term archived) Senckenberg Görlitz internal Databank

Link zu diesem Datensatz

https://dataportal.senckenberg.de/dataset/dc89b48c-74d8-4859-b169-a6499e91f917