Joint analysis of spatial genetic structure and inbreeding in a managed population of Scots pine

García‐Gil, Maria Rosario; Olivier, Frédéric; Kamruzzahan, S; Waldmann, Patrik

doi:10.1038/hdy.2009.33

Cited by 14 publications

(13 citation statements)

References 55 publications

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“…The allele conformity to the expected repeat size and proximation to the Gaussian -shaped distribution of the allele frequencies indicates neither marked genotyping nor serious sampling problems (Selkoe and Toonen 2006). The allele variability obtained in our study was similar as in the other studies using the same loci over a comparable geographical range of Scots pine (Soranzo et al 1998, García-Gill et al 2009. Especially, Spag7.14 with 35 alleles in our material is highly polymorphic for Scots pine, considering that Kuchma et al (2011) found 39 alleles for Spag7.14 in a strongly mutagenic environment of the Chernobyl exclusion zone.…”

Section: The Loci Comparisonsupporting

confidence: 87%

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DNA markers reveal genetic association between the sea-side Lithuanian and Bavarian Scots pine populations

Kavaliauskas

Danusevičius

Fussi³

et al. 2022

BALT FOR

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Due to complex history of European forests, natural populations may not necessarily represent autochthonous genepools for forest trees. Eastern Prussian forests were famous for using non-local sources for afforestation. We studied efficiency of a set of nuclear microsatellite markers (nSSR) for genetic association and diversity studies of 194 adult trees from 5 populations genotyped at 11 nSSR loci. The Bayesian and UPGMA clustering revealed two genetically distinct groups: (a) the Baltic group, and (b) the Bavarian one and an over 200-years-old sea-side Lithuanian population of Juodkrante from the sea-side Curonian spit of Neringa. We interpret this result as putative introduction of Bavarian Scots pine back in the 18th century, when reforestation efforts were made to sustain moving sands in the dunes of Neringa. The genomic SSRs were more variable than the EST SSRs. However, the association between the variability of the nuclear microsatellite loci and their efficiency in detecting population differentiation was not strong. Keywords: nSSR, Pinus sylvestris (L.), population structure, provenance transfer, FRM transfer, molecular markers

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Section: The Loci Comparisonsupporting

confidence: 87%

“…We found 30 alleles for Spac12.5, the second most polymorphic locus. García-Gill et al (2009) reported 47 alleles for Spac12.5 within a forest district of 25 ha and sample size of ca. 400 individuals in Sweden.…”

Section: The Loci Comparisonmentioning

confidence: 99%

DNA markers reveal genetic association between the sea-side Lithuanian and Bavarian Scots pine populations

Kavaliauskas

Danusevičius

Fussi³

et al. 2022

BALT FOR

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“…The transferability of SSR between Scots pine and P. taeda was previously demonstrated successfully (e.g., RobledoArnuncio et al 2005;Waldmann et al 2005;García-Gil et al 2009;Robledo-Arnuncio et al 2009). However, the transferability of our two multiplexes to other Pinus species required the initial testing of the expected sizes of the involved loci to avoid overlapping.…”

Section: Ssr Multiplex Transferabilitymentioning

confidence: 85%

“…In conifers, nSSRs are applied in multiple research areas such as population studies (e.g., Marshall et al 2002;A 0 Hara and Cottrell 2004;Waldmann et al 2005;García-Gil et al 2009;Gugerli et al 2009;Tollefsrud et al 2009), genetic map construction (Pelgas et al 2006;Echt et al 2011) and paternity analysis (Lian et al 2001;Torimaru et al 2009). Despite the wide application of nSSRs, examples on the application of SSR multiplexing in conifers remain scarce (Devey et al 2002;Bell et al 2004;Karhu et al 2006;Gugerli et al 2009;Salzer et al 2009;Kawase et al 2010;Wagner et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Development and transferability of two multiplexes nSSR in Scots pine (Pinus sylvestris L.)

et al. 2015

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Single sequence repeat (SSR) multiplexing is a semi high-throughput PCR methodology for the analysis of multiple SSRs. We developed two SSR multiplexes selected from SSR loci previously reported in the pine literature and tested the transferability of both SSR multiplexes in nine other pine species. We tested 234 nuclear SSR loci (nSSRs) previously described in the pine literature and selected ten nSSRs following the simple criteria of interpretability and reproducibility. Selected nuclear loci were divided into two nSSRs multiplex sets and their amplification was optimized for three different multiplex PCR methods based on: (a) a custom PCR protocol, (b) a custom protocol with hotstart taq polymerase, and (c) a commercially available kit for SSR multiplexing. To validate their performance, the level of genetic diversity was assessed in three Scots pine natural populations (Hungary, northern Sweden and southern Sweden). In addition, we also tested the transferability of these multiplexes in nine other pine species. We have developed two nSSRs multiplexes of five loci each that will contribute to reduce the costs of nSSR scoring, while increasing the capacity of nSSR loci analysis. Amplification was successful in all three populations (94 % success) and the level of polymorphism (7.1 alleles/marker) was similar to that previously reported for other Scots pine natural populations. Transferability of both multiplexes was successful for those pine species closely related to Scots pine.

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“…The lack of experiments specifically designed to compare the within-population genetic structure between disturbed and undisturbed forest tree stands has retarded our understanding of the fine-scale consequences of forest management [21], [22]. The present study was aimed at comparing stands experiencing different disturbance levels using five plot pairs of Fagus sylvatica (L.).…”

Section: Introductionmentioning

confidence: 99%

Within-Population Genetic Structure in Beech (Fagus sylvatica L.) Stands Characterized by Different Disturbance Histories: Does Forest Management Simplify Population Substructure?

Piotti

Leonardi

Heuertz³

et al. 2013

PLoS ONE

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The fine-scale assessment of both spatially and non-spatially distributed genetic variation is crucial to preserve forest genetic resources through appropriate forest management. Cryptic within-population genetic structure may be more common than previously thought in forest tree populations, which has strong implications for the potential of forests to adapt to environmental change. The present study was aimed at comparing within-population genetic structure in European beech (Fagus sylvatica L.) plots experiencing different disturbance levels. Five plot pairs made up by disturbed and undisturbed plots having the same biogeographic history were sampled throughout Europe. Overall, 1298 individuals were analyzed using four highly polymorphic nuclear microsatellite markers (SSRs). Bayesian clustering within plots identified 3 to 11 genetic clusters (within-plot θ ST ranged from 0.025 to 0.124). The proportion of within-population genetic variation due to genetic substructuring (F CluPlot = 0.067) was higher than the differentiation among the 10 plots (F PlotTot = 0.045). Focusing on the comparison between managed and unmanaged plots, disturbance mostly explains differences in the complexity of within-population genetic structure, determining a reduction of the number of genetic clusters present in a standardized area. Our results show that: i) genetic substructuring needs to be investigated when studying the within-population genetic structure in forest tree populations, and ii) indices describing subtle characteristics of the within-population genetic structure are good candidates for providing early signals of the consequences of forest management, and of disturbance events in general.

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Joint analysis of spatial genetic structure and inbreeding in a managed population of Scots pine

Cited by 14 publications

References 55 publications

DNA markers reveal genetic association between the sea-side Lithuanian and Bavarian Scots pine populations

DNA markers reveal genetic association between the sea-side Lithuanian and Bavarian Scots pine populations

Development and transferability of two multiplexes nSSR in Scots pine (Pinus sylvestris L.)

Within-Population Genetic Structure in Beech (Fagus sylvatica L.) Stands Characterized by Different Disturbance Histories: Does Forest Management Simplify Population Substructure?

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