Abstract:Research Highlights: Patterns of dispersal shape the distribution and temporal development of genetic diversity both within and among populations. In an era of unprecedented environmental change, the maintenance of extant genetic diversity is crucial to population persistence. Background and Objectives: We investigate patterns of pollen dispersal and spatial genetic structure within populations of giant sequoia (Sequoiadendron giganteum). Materials and Methods: The leaf genotypes of established trees from twel… Show more
“…This is contrary to the gametophytic self-incompatibility system of woody Rosaceae [ 23 ]. Given that the size and/or density of a population can influence the outcrossing rate of self-compatible plants [ 60 ], it seems that harsh habitat conditions, small size, and low tree density, as well as a severe human intervention, has caused, contrary to expectations for the genus Sorbus [ 26 ], positive inbreeding in S. aucuparia populations in the Hyrcanian forest. Additionally, because of their often high levels of heterozygosity, outcrossing trees such as S. aucuparia can be disproportionately vulnerable to a reduction in pollen-mediated gene flow, which can mask deleterious recessive alleles that, if expressed, can lead to a reduction in population’s fitness [ 61 ].…”
Sorbus aucuparia (Rosaceae) is a small tree species widely distributed in Eurasia. The Hyrcanian forest is the southernmost distribution limit of this species. Severe habitat degradation and inadequate human interventions have endangered the long-term survival of this species in this region, and it is necessary to develop and apply appropriate management methods to prevent the loss of its genetic diversity. In this study, we used 10 SSR markers in order to evaluate the genetic diversity of this taxon. Leaf samples were collected from five known populations of S. aucuparia throughout its distribution area in the Hyrcanian forest. Expected heterozygosity ranged from 0.61 (ASH) to 0.73, and according to the M-ratio, all populations showed a significant reduction in effective population size, indicating a genetic bottleneck. Global FST was not statistically significant and attained the same values with and without excluding null alleles (ENA) correction (FST = 0.12). Bayesian analysis performed with STRUCTURE defined two genetic clusters among the five known populations, while the results of discriminant analysis of principal components (DAPC) identified three distinct groups. The average proportion of migrants was 22. In general, the gene flow was asymmetrical, with the biggest differences between immigration and emigration in Barzekoh and Asbehriseh. The Mantel test showed that there was no significant correlation between genetic distance (FST) and geographic distance in S. aucuparia. The best pathway for theoretical gene flow is located across the coast of the Caspian Sea and significant spatial autocorrelation was observed in only one population. In order to reduce the extinction risk of very small and scattered populations of S. aucuparia in the Hyrcanian forest, it is very important to establish and/or enhance the connectivity through habitat restoration or genetic exchange.
“…This is contrary to the gametophytic self-incompatibility system of woody Rosaceae [ 23 ]. Given that the size and/or density of a population can influence the outcrossing rate of self-compatible plants [ 60 ], it seems that harsh habitat conditions, small size, and low tree density, as well as a severe human intervention, has caused, contrary to expectations for the genus Sorbus [ 26 ], positive inbreeding in S. aucuparia populations in the Hyrcanian forest. Additionally, because of their often high levels of heterozygosity, outcrossing trees such as S. aucuparia can be disproportionately vulnerable to a reduction in pollen-mediated gene flow, which can mask deleterious recessive alleles that, if expressed, can lead to a reduction in population’s fitness [ 61 ].…”
Sorbus aucuparia (Rosaceae) is a small tree species widely distributed in Eurasia. The Hyrcanian forest is the southernmost distribution limit of this species. Severe habitat degradation and inadequate human interventions have endangered the long-term survival of this species in this region, and it is necessary to develop and apply appropriate management methods to prevent the loss of its genetic diversity. In this study, we used 10 SSR markers in order to evaluate the genetic diversity of this taxon. Leaf samples were collected from five known populations of S. aucuparia throughout its distribution area in the Hyrcanian forest. Expected heterozygosity ranged from 0.61 (ASH) to 0.73, and according to the M-ratio, all populations showed a significant reduction in effective population size, indicating a genetic bottleneck. Global FST was not statistically significant and attained the same values with and without excluding null alleles (ENA) correction (FST = 0.12). Bayesian analysis performed with STRUCTURE defined two genetic clusters among the five known populations, while the results of discriminant analysis of principal components (DAPC) identified three distinct groups. The average proportion of migrants was 22. In general, the gene flow was asymmetrical, with the biggest differences between immigration and emigration in Barzekoh and Asbehriseh. The Mantel test showed that there was no significant correlation between genetic distance (FST) and geographic distance in S. aucuparia. The best pathway for theoretical gene flow is located across the coast of the Caspian Sea and significant spatial autocorrelation was observed in only one population. In order to reduce the extinction risk of very small and scattered populations of S. aucuparia in the Hyrcanian forest, it is very important to establish and/or enhance the connectivity through habitat restoration or genetic exchange.
“…In sedentary species, such as trees, spatial aggregation of related individuals often results from limited seed and/or pollen dispersal (Hardy & Vekemans 1999). In wind-pollinated species, pollen can disperse long distances, from hundreds of meters to hundreds of kilometers (e.g., Kremer et al 2012;Desilva & Dodd 2021), whereas seed dispersal has shorter average distances (Kremer et al 2012). Pollen dispersal distances in animalpollinated species are commonly shorter-from a few meters to a few kilometers (e.g., Levin & Kerster 1974;Kremer et al 2012; but see Ahmed et al 2009).…”
Section: Introductionmentioning
confidence: 99%
“…For example, in genotypephenotype association analyses, spurious associations may arise due to correlation of allele and trait frequencies in different populations, but also within a population, if the underlying genetic structure is not corrected for (Pritchard & Rosenberg 1999;Persyn et al 2018). In practical applications, where individuals are chosen from natural populations for conservation, population management or breeding programs, it is essential to know how genetic diversity and, for example, rare alleles are distributed in space to maintain high genetic diversity, avoid inbreeding and, on the other hand, unintended mixing of differentially adapted populations (Desilva & Dodd 2021;Escudero et al 2003;Smith et al 2018). When the span of spatial autocorrelation is known, sampling can be adapted to the needs of each application.…”
Section: Introductionmentioning
confidence: 99%
“…In wind-pollinated species, pollen can disperse long distances, from hundreds of meters to hundreds of kilometers (e.g., Kremer et al . 2012; Desilva & Dodd 2021), whereas seed dispersal has shorter average distances (Kremer et al . 2012).…”
Section: Introductionmentioning
confidence: 99%
“…2018). In practical applications, where individuals are chosen from natural populations for conservation, population management or breeding programs, it is essential to know how genetic diversity and, for example, rare alleles are distributed in space to maintain high genetic diversity, avoid inbreeding and, on the other hand, unintended mixing of differentially adapted populations (Desilva & Dodd 2021; Escudero et al . 2003; Smith et al .…”
Knowledge of fine scale genetic structure, i.e., the distribution of genetic diversity at short distances, is important in evolutionary research and practical applications such as conservation and breeding programs. In trees, related individuals often grow close to each other due to limited seed and/or pollen dispersal. The extent of seed dispersal also limits the speed at which a tree species can spread to new areas. We studied the fine scale genetic structure of Scots pine (Pinus sylvestris) in two naturally regenerated sites 20 km from each other located in continuous south-eastern Finnish forest. We genotyped almost 500 adult trees for 150k SNPs using a custom made Affymetrix array. While we detected some pairwise relatedness at short distances, the relatedness decreased with increasing distance, as expected. Despite the clustering of related individuals, the sampling sites were not differentiated (FST= 0.0005). According to our results, Scots pine has a large neighborhood size (Nb= 1680–3120), but relatively short gene dispersal distance (σg= 36.5–71.3 m). Knowledge of Scots pine fine structure can be used to define suitable sampling distances for evolutionary studies and practical applications. Detailed empirical estimates of dispersal are necessary both in studying post-glacial recolonization and predicting the response of forest trees to climate change.
Knowledge of fine-scale spatial genetic structure, i.e., the distribution of genetic diversity at short distances, is important in evolutionary research and in practical applications such as conservation and breeding programs. In trees, related individuals often grow close to each other due to limited seed and/or pollen dispersal. The extent of seed dispersal also limits the speed at which a tree species can spread to new areas. We studied the fine-scale spatial genetic structure of Scots pine (Pinus sylvestris) in two naturally regenerated sites located 20 km from each other in continuous south-eastern Finnish forest. We genotyped almost 500 adult trees for 150k SNPs using a custom made Affymetrix array. We detected some pairwise relatedness at short distances, but the average relatedness was low and decreased with increasing distance, as expected. Despite the clustering of related individuals, the sampling sites were not differentiated (F ST = 0.0005). According to our results, Scots pine has a large neighborhood size (Nb = 1680-3210), but a relatively short gene dispersal distance (σ g = 36.5-71.3 m). Knowledge of Scots pine fine-scale spatial genetic structure can be used to define suitable sampling distances for evolutionary studies and practical applications. Detailed empirical estimates of dispersal are necessary both in studying post-glacial recolonization and predicting the response of forest trees to climate change.
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