Spatial genetic structure in populations of Quercus mongolica var. grosseserrata (Fagaceae) from southern Korea

2004 ◽  
Vol 82 (9) ◽  
pp. 1402-1408 ◽  
Author(s):  
Mi Yoon Chung ◽  
Myong Gi Chung
Keyword(s):  
Genetic Structure ◽  
Spatial Autocorrelation ◽  
Spatial Genetic Structure ◽  
Ground Vegetation ◽  
Spatial Autocorrelation Analysis ◽  
Fine Scale ◽  
Autocorrelation Analysis ◽  
Quercus Mongolica ◽  
Acorn Dispersal ◽  
Southern Korea

Multilocus, putative allozyme genotypes were mapped and sampled from two local populations of Quercus mongolica Fischer ex Turcz var. grosseserrata (Bl.) Rehder & Wilson (Fagaceae) (each area is 100 m × 100 m, one with Sasa cover (N = 62) versus a second without it (N = 384)) occurring in undisturbed forests near Nogodan, Mount Jiri in southern Korea. Ripley's L-statistics and spatial autocorrelation analysis (a coancestry coefficient, fij) were used to test the prediction that because of low seedling establishment in a population with dense Sasa cover, there would be no spatial aggregation or hyperdispersion of individual trees and little evidence of fine-scale genetic structure in the population. As predicted, the Sasa-covered population showed no evidence of significant aggregation of individuals (P < 0.01) up to an interplant distance of 50 m and a random distribution of putative genotypes in the population. By contrast, the L-statistics conducted in the Sasa-free population indicated significant aggregation of individuals at interplant distances extending from 4 to 50 m. Spatial autocorrelation analysis revealed small but significant (P < 0.01), positive, fine-scale genetic structure extending from 10 to 30 m. A very similar result was obtained from 100 replicates each consisting of 62 trees in the Sasa-free populations by applying rarefaction and bootstrapping. These findings support the hypothesis that ground vegetation such as Sasa spp. has an impact on fine-scale genetic structure. The weak spatial genetic structure found in the Sasa-free population may primarily be due to limited acorn dispersal coupled with overlapping seed shadows and (or) secondary acorn dispersal by rodents.Key words: allozymes, Fagaceae, ground cover, Quercus mongolica var. grosseserrata, Sasa spp., spatial genetic structure.

scholarly journals Spatial Autocorrelation Analysis Using MIG-seq Data Indirectly Estimated the Gamete and Larval Dispersal Range of the Blue Coral, Heliopora coerulea, Within Reefs

2021 ◽  
Vol 8 ◽  
Author(s):  
Daniel Frikli Mokodongan ◽  
Hiroki Taninaka ◽  
La Sara ◽  
Taisei Kikuchi ◽  
Hideaki Yuasa ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Spatial Autocorrelation ◽  
Larval Dispersal ◽  
Population Genetic ◽  
Spatial Genetic Structure ◽  
Spatial Autocorrelation Analysis ◽  
Nucleotide Polymorphisms ◽  
Autocorrelation Analysis ◽  
Distance Method ◽  
Genome Wide

Spatial autocorrelation analysis is a well-established technique for detecting spatial structures and patterns in ecology. However, compared to inter-population genetic structure, much less studies examined spatial genetic structure (SGS) within a population by means of spatial autocorrelation analysis. More SGS analysis that compares the robustness of genome-wide single nucleotide polymorphisms (SNPs) and traditional population genetic markers in detecting SGS, and direct comparison between the estimated dispersal range based on SGS and the larval dispersal range of corals directly surveyed in the field would be important. In this study, we examined the SGS of a reef-building coral species, Heliopora coerulea, in two different reefs (Shiraho and Akaishi) using genome-wide SNPs derived from Multiplexed inter-simple sequence repeat (ISSR) genotyping by sequencing (MIG-seq) analysis and nine microsatellite loci for comparison. Microsatellite data failed to reveal significant spatial patterns when using the same number of samples as MIG-seq, whereas MIG-seq analysis revealed significant spatial autocorrelation patterns up to 750 m in both Shiraho and Akaishi reefs based on the maximum significant distance method. However, detailed spatial genetic analysis using fine-scale distance classes (25–200 m) found an x-intercept of 255–392 m in Shiraho and that of 258–330 m in Akaishi reef. The latter results agreed well with a previously reported direct field observation of larval dispersal, indicating that the larvae of H. coerulea settled within a 350 m range in Shiraho reef within one generation. Overall, our results empirically demonstrate that the x-intercept of the spatial correlogram agrees well with the larval dispersal distance that is most frequently found in field observations, and they would be useful for deciding effective conservation management units for maintenance and/or recovery within an ecological time scale.

Fine-scale genetic structure in populations of Quercus variabilis (Fagaceae) from southern Korea

2002 ◽  
Vol 80 (10) ◽  
pp. 1034-1041 ◽  
Author(s):  
Mi Yoon Chung ◽  
Myong Gi Chung
Keyword(s):  
Genetic Structure ◽  
South Korea ◽  
Spatial Autocorrelation ◽  
Spatial Genetic Structure ◽  
Fine Scale ◽  
Genetic Structuring ◽  
Quercus Variabilis ◽  
Southern Korea ◽  
Allozyme Loci ◽  
Landscape Level

Quercus variabilis Blume (Fagaceae) is a deciduous broad-leaved tree, and an important forest element among the hillsides of southern Korea. To date, there are contrasting results with respect to fine-scale spatial genetic structure among adults in populations of several oak species; some studies have shown evidence of significant within-population spatial genetic structure, while others found weak or little evidence of fine-scale genetic structuring within populations. We used allozyme loci, Wright's F statistics, and multilocus spatial autocorrelation statistics to examine the distribution of genetic diversity and the spatial genetic structure within three undisturbed populations at a landscape level (72.5 ha, 500 × 1450 m) on Dolsan Island, South Korea. The spatial autocorrelation analyses of adults showed little evidence of fine-scale genetic structuring within populations, which could be due to random mortality among related seedlings, resulting in extensive thinning within maternal half-sib groups. Alternatively, low genetic differentiation between adjacent populations (mean FST = 0.023) and little within-population spatial genetic structure suggest probable secondary acorn movement by animals. Our results are very similar to those observed in three populations of Quercus acutissima at a landscape level (15 ha, 250 × 600 m) on Oenaro Island, South Korea. Together, these studies describe relatively subtle differences in genetic structure among adjacent populations of oaks on southern islands in Korea.Key words: allozymes, Quercus variabilis, Fagaceae, landscape level, multiple populations, spatial genetic structure.

GENETICS OF POPULATION EXCHANGE ALONG THE HISTORICAL PORTUGUESE–SPANISH BORDER

2012 ◽  
Vol 45 (1) ◽  
pp. 79-93 ◽  
Author(s):  
J. ROMÁN-BUSTO ◽  
M. TASSO ◽  
G. CARAVELLO ◽  
V. FUSTER ◽  
P. ZULUAGA
Keyword(s):  
Genetic Structure ◽  
Spatial Autocorrelation ◽  
Distribution Patterns ◽  
Social Conditions ◽  
Border Region ◽  
Spatial Autocorrelation Analysis ◽  
Autocorrelation Analysis ◽  
Mountain Ranges ◽  
Population Exchange ◽  
Low Diversity

SummaryThe present analysis compares the distribution of surnames by means of spatial autocorrelation analysis in the Spain–Portugal border region. The Spanish National Institute of Statistics provides a database of surnames of residents in the western Spanish provinces of Zamora, Salamanca, Cáceres, Badajoz and Huelva. The Spanish and Portuguese patterns of surname distribution were established according to various geographic axes. The results obtained show a low diversity of surnames in this region – especially in the centre – which can be explained by the absence of any major geographic barriers, with the exception of the mountain ranges between hydrographic basins, and by the presence of traditional roads that have existed since Roman times. The latter have resulted in a constant migratory flow over short–median distances, which, as can be deduced from the surnames, fits two north/south territorial axes running parallel to the border between Spain and Portugal. The distribution patterns of Portuguese and Spanish surnames differ with regard to their frequencies in the five provinces studied, which can be attributed to their respective historical, economic and social conditions. It is concluded that the border delimiting these two countries has affected the migratory flow, thereby conditioning the demographic and genetic structure of the western Spanish regions.

scholarly journals Fine-Scale Patterns of Genetic Structure in the Host Plant Chamaecrista fasciculata (Fabaceae) and Its Nodulating Rhizobia Symbionts

Plants ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 1719
Author(s):  
Mahboubeh Hosseinalizadeh Nobarinezhad ◽  
Lisa E. Wallace
Keyword(s):  
Gene Flow ◽  
Genetic Structure ◽  
Spatial Autocorrelation ◽  
Host Plant ◽  
Host Plants ◽  
Spatial Genetic Structure ◽  
Genetic Identity ◽  
Fine Scale ◽  
Chamaecrista Fasciculata ◽  
Limited Gene Flow

In natural plant populations, a fine-scale spatial genetic structure (SGS) can result from limited gene flow, selection pressures or spatial autocorrelation. However, limited gene flow is considered the predominant determinant in the establishment of SGS. With limited dispersal ability of bacterial cells in soil and host influence on their variety and abundance, spatial autocorrelation of bacterial communities associated with plants is expected. For this study, we collected genetic data from legume host plants, Chamaecrista fasciculata, their Bradyrhizobium symbionts and rhizosphere free-living bacteria at a small spatial scale to evaluate the extent to which symbiotic partners will have similar SGS and to understand how plant hosts choose among nodulating symbionts. We found SGS across all sampled plants for both the host plants and nodulating rhizobia, suggesting that both organisms are influenced by similar mechanisms structuring genetic diversity or shared habitat preferences by both plants and microbes. We also found that plant genetic identity and geographic distance might serve as predictors of nodulating rhizobia genetic identity. Bradyrhizobium elkanii was the only type of rhizobia found in nodules, which suggests some level of selection by the host plant.

Sign in / Sign up

Export Citation Format

Share Document