Spatial autocorrelation analysis and ecological niche modelling allows inference of range dynamics driving the population genetic structure of a Neotropical savanna tree

2015 ◽  
Vol 43 (1) ◽  
pp. 167-177 ◽  
Author(s):  
José Alexandre F. Diniz-Filho ◽  
Ana Clara O. F. Barbosa ◽  
Rosane G. Collevatti ◽  
Lázaro J. Chaves ◽  
Levi Carina Terribile ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Spatial Autocorrelation ◽  
Population Genetic Structure ◽  
Population Genetic ◽  
Ecological Niche ◽  
Spatial Autocorrelation Analysis ◽  
Neotropical Savanna ◽  
Autocorrelation Analysis ◽  
Niche Modelling ◽  
Range Dynamics

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.

Population genetic structure and ecological niche modelling of the leafhopper Hishimonus phycitis

2012 ◽  
Vol 86 (2) ◽  
pp. 173-183 ◽  
Author(s):  
Mahnaz Shabani ◽  
Coralie Bertheau ◽  
Mehrshad Zeinalabedini ◽  
Alimorad Sarafrazi ◽  
Mohsen Mardi ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Population Genetic Structure ◽  
Population Genetic ◽  
Ecological Niche ◽  
Ecological Niche Modelling ◽  
Niche Modelling ◽  
Hishimonus Phycitis

Population genetic structure and species delimitation in the Cryptanthus zonatus complex (Bromeliaceae)

2020 ◽  
Author(s):  
Débora Maria Cavalcanti Ferreira ◽  
Clarisse Palma-Silva ◽  
Jordana Néri ◽  
Maria Cláudia Melo Pacheco de Medeiros ◽  
Diego Sotero Pinangé ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Population Genetic Structure ◽  
Species Delimitation ◽  
Population Genetic ◽  
Species Complex ◽  
Conservation Status ◽  
Niche Modelling ◽  
Morphological Comparison ◽  
Morphological Variations ◽  
Genetic Clusters

Abstract Morphological variations of individuals and populations of plants have hampered taxonomists from understanding whether such variations are intra- or interspecific. In this research, we study Cryptanthus burle-marxii and C. zonatus, the morphological variations of which overlap, making it difficult to identify them. Both taxa are restricted to the north of the Brazilian Atlantic Forest and are included in the C. zonatus species complex. We applied different methods such as morphological comparison, population genetics using ten nuclear microsatellite markers and ecological niche modelling to study population genetic structure and species delimitation of this species complex. Our analysis revealed that the two genetic clusters were formed possibly because of the presence of a historical geographical barrier in a region called ‘depressão do Abiaí’. The two genetic clusters were concordant with the northern and southern distribution of the complex but incongruent with a morphological variation or current taxonomic delimitation. Thus, we synonymize C. burle-marxii with C. zonatus and re-evaluate its conservation status as endangered.

scholarly journals Disentangling landscape effects on population genetic structure of a Neotropical savanna tree

2014 ◽  
Vol 12 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Mariana Pires de Campos Telles ◽  
Ricardo Dobrovolski ◽  
Kelly da Silva e Souza ◽  
Jacqueline de Souza Lima ◽  
Rosane Garcia Collevatti ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Population Genetic Structure ◽  
Population Genetic ◽  
Neotropical Savanna ◽  
Landscape Effects

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.

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