A methodological approach for assessment of the spatial genetic structure within Scots Pine stands based on DNA markers

Kerpauskaitė, Vilma; Danusevičius, Darius; Kavaliauskas, Darius; Fussi, Barbara; Konnert, Monika; Baliuckas, Virgilijus; Augustaitis, Algirdas

doi:10.15544/RD.2013.3.082

Use this url to cite publication: https://hdl.handle.net/20.500.12259/86596

A methodological approach for assessment of the spatial genetic structure within Scots Pine stands based on DNA markers

Type of publication

Straipsnis konferencijos medžiagoje Web of Science duomenų bazėje / Article in conference proceedings in Web of Science database (P1a1)

Author(s)

Author	Affiliation
Kerpauskaitė, Vilma	Žemės ūkio akademija / Agriculture Academy	LT
Danusevičius, Darius	Žemės ūkio akademija / Agriculture Academy	LT	Lietuvos agrarinių ir miškų mokslų centras	LT
Kavaliauskas, Darius	Žemės ūkio akademija / Agriculture Academy	LT
Fussi, Barbara	Bavarian office for forest Seedling and Planting (ASP)	DE
Konnert, Monika	Bavarian office for forest Seedling and Planting (ASP)	DE
Baliuckas, Virgilijus	Lietuvos agrarinių ir miškų mokslų centras	LT
Augustaitis, Algirdas	Žemės ūkio akademija / Agriculture Academy	LT

Title

A methodological approach for assessment of the spatial genetic structure within Scots Pine stands based on DNA markers

[en]

Is part of

Rural development 2013 : the sixth international scientific conference, 28-29 November, 2013, Akademija, Aleksandras Stulginskis University : proceedings

Date Issued

Date	Volume	Issue	Start Page	End Page
2013	6	3	324	331

Publisher

Akademija : ASU Publishing Center

Is Referenced by

Conference Proceedings Citation Index - Science (Web of Science)

Academic Search Complete

URI

URI
https://hdl.handle.net/20.500.12259/86596

DOI

10.15544/RD.2013.3.082

Area of Science

Field of Science

OECD Classification

Keywords (en)

Abstract (en)

The objective of our study was to test the suitability of several main spatial analysis methods to detect spatial genetic structure in Scots pine stands. We used a sub-set of 47 trees representing a sub-plot of 0.5 ha within a large sample plot selected within a 200-year-old Scots pine stand of natural origin in Punia in central Lithuania. We used 11 nSSR loci to estimate the genetic distance between the 47 trees. The analysis included: PCA, the Mantel test, spatial autocorrelation tests and Bayesian clustering. The results of this pilot study indicate that for well spatially uniform clusters, spatial autocorrelation and Mantel tests may detect the spatial structure, but for highly overlapping structures we suggest Bayesian clustering. Regarding the spatial structure with the subplot of 47 trees selected for this study, 9 highly overlapping clusters were obtained with Bayesian clustering. Our preliminary conclusion is that the spatial genetic structure in natural Scots pine stands is complex and there is an indication of highly intermixed structures, probably a consequence of multiple establishment events.