scholarly journals Spatial genetic structure in Pinus cembroides Zucc. at population and landscape levels in central and northern Mexico

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e8002
Author(s):  
Luis C. García-Zubia ◽  
Javier Hernández-Velasco ◽  
José C. Hernández-Díaz ◽  
Sergio L. Simental-Rodríguez ◽  
Carlos A. López-Sánchez ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Genetic Variants ◽  
Isolation By Distance ◽  
Spatial Genetic Structure ◽  
Natural Populations ◽  
Sampling Strategy ◽  
Population Level ◽  
Spatial Distance ◽  
Minimum Width ◽  
Conservation And Management

Background Spatial genetic structure (SGS) analysis is a powerful approach to quantifying gene flow between trees, thus clarifying the functional connectivity of trees at population and landscape scales. The findings of SGS analysis may be useful for conservation and management of natural populations and plantations. Pinus cembroides is a widely distributed tree species, covering an area of about 2.5 million hectares in Mexico. The aim of this study was to examine five natural seed stands of P. cembroides in the Sierra Madre Occidental to determine the SGS at population (within the seed stand) and landscape (among seed stands) levels in order to establish guidelines for the conservation and management of the species. We hypothesized that P. cembroides, in which the seeds are dispersed by birds and mammals, creates weaker SGS than species with wind-dispersed seeds. Methods DNA fingerprinting was performed using the amplified fragment length polymorphism (AFLP) technique. In order to estimate the SGS at population and landscape levels, we measured the geographical (spatial) distance as the Euclidean distance. We also estimated the genetic distances between individuals using the pairwise kinship coefficient. Results The results showed non-significant autocorrelation in four out of five seed stands studied (i.e., a mainly random distribution in the space of the genetic variants of P. cembroides at population level). Discussion SGS was detected at the landscape scale, supporting the theory of isolation by distance as a consequence of restricted pollen and seed dispersal. However, the SGS may also have been generated by our sampling strategy. We recommended establishing a close network of seed stands of P. cembroides to prevent greater loss of local genetic variants and alteration of SGS. We recommend seed stands of P. cembroides of a minimum width of 225 m.

scholarly journals Spatial genetic structure of the sea sandwort (<i>Honckenya peploides</i>) on Surtsey: an immigrant's journey

2014 ◽  
Vol 11 (22) ◽  
pp. 6495-6507 ◽  
Author(s):  
S. H. Árnason ◽  
Ǽ. Th. Thórsson ◽  
B. Magnússon ◽  
M. Philipp ◽  
H. Adsersen ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Genetic Structure ◽  
Early Stage ◽  
Isolation By Distance ◽  
Spatial Genetic Structure ◽  
Rapid Expansion ◽  
Aflp Markers ◽  
Plant Colonization ◽  
Southern Coast ◽  
Binary Matrix

Abstract. Sea sandwort (Honckenya peploides) was one of the first plants to successfully colonize and reproduce on the volcanic island Surtsey, formed in 1963 off the southern coast of Iceland. Using amplified fragment length polymorphic (AFLP) markers, we examined levels of genetic variation and differentiation among populations of H. peploides on Surtsey in relation to populations on the nearby island Heimaey and from the southern coast of Iceland. Selected populations from Denmark and Greenland were used for comparison. In addition, we tested whether the effects of isolation by distance could be seen in the Surtsey populations. Using two primer combinations, we obtained 173 AFLP markers from a total of 347 plant samples. The resulting binary matrix was then analysed statistically. The main results include the following: (i) Surtsey had the highest proportion of polymorphic markers as well as a comparatively high genetic diversity (55.5% proportion of polymorphic loci, PLP; 0.1974 HE) and Denmark the lowest (31.8% PLP; 0.132 HE), indicating rapid expansion during an early stage of population establishment on Surtsey and/or multiple origins of immigrants; (ii) the total genetic differentiation (FST) among Surtsey (0.0714) and Heimaey (0.055) populations was less than half of that found among the mainland populations in Iceland (0.1747), indicating substantial gene flow on the islands; (iii) most of the genetic variation (79%, p < 0.001) was found within localities, possibly due to the outcrossing and subdioecious nature of the species; (iv) a significant genetic distance was found within Surtsey, among sites, and this appeared to correlate with the age of plant colonization; and (v) the genetic structure analysis indicated multiple colonization episodes on Surtsey, whereby H. peploides most likely immigrated from the nearby island of Heimaey and directly from the southern coast of Iceland.

scholarly journals The Influence of a Seedling Recruitment Strategy and a Clonal Architecture on a Spatial Genetic Structure of a Salvia brachyodon (Lamiaceae) Population

Plants ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 828
Author(s):  
Ivan Radosavljević ◽  
Oleg Antonić ◽  
Dario Hruševar ◽  
Josip Križan ◽  
Zlatko Satovic ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Seedling Recruitment ◽  
Spatial Genetic Structure ◽  
Population Level ◽  
Significant Negative Correlation ◽  
Recruitment Strategy ◽  
Future Research ◽  
Clonal Architecture ◽  
Surrounding Areas ◽  
Spatial Genetic Analysis

By performing a high-resolution spatial-genetic analysis of a partially clonal Salvia brachyodon population, we elucidated its clonal architecture and seedling recruitment strategy. The sampling of the entire population was based on a 1 × 1 m grid and each sampled individual was genotyped. Population-genetic statistics were combined with geospatial analyses. On the population level, the presence of both sexual and clonal reproduction and repeated seedling recruitment as the prevailing strategy of new genets establishment were confirmed. On the patch level, a phalanx clonal architecture was detected. A significant negative correlation between patches’ sizes and genotypic richness was observed as young plants were not identified within existing patches of large genets but almost exclusively in surrounding areas. The erosion of the genetic variability of older patches is likely caused by the inter-genet competition and resulting selection or by a random die-off of individual genets accompanied by the absence of new seedlings establishment. This study contributes to our understanding of how clonal architecture and seedling recruitment strategies can shape the spatial-genetic structure of a partially clonal population and lays the foundation for the future research of the influence of the population’s clonal organization on its sexual reproduction.

scholarly journals Can We Compare Effect Size of Spatial Genetic Structure Between Studies and Species Using Moran Eigenvector Maps?

2021 ◽  
Vol 9 ◽  
Author(s):  
Celia Hein ◽  
Hossam E. Abdel Moniem ◽  
Helene H. Wagner
Keyword(s):  
Genetic Structure ◽  
Effect Size ◽  
Stationary Process ◽  
Isolation By Distance ◽  
Spatial Genetic Structure ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Sampling Locations ◽  
Number Of Individuals ◽  
Moran Eigenvector Maps

As the field of landscape genetics is progressing toward comparative empirical studies and meta-analysis, it is important to know how best to compare the strength of spatial genetic structure between studies and species. Moran’s Eigenvector Maps are a promising method that does not make an assumption of isolation-by-distance in a homogeneous environment but can discern cryptic structure that may result from multiple processes operating in heterogeneous landscapes. MEMgene uses spatial filters from Moran’s Eigenvector Maps as predictor variables to explain variation in a genetic distance matrix, and it returns adjusted R2 as a measure of the amount of genetic variation that is spatially structured. However, it is unclear whether, and under which conditions, this value can be used to compare the degree of spatial genetic structure (effect size) between studies. This study addresses the fundamental question of comparability at two levels: between independent studies (meta-analysis mode) and between species sampled at the same locations (comparative mode). We used published datasets containing 9,900 haploid, biallelic, neutral loci simulated on a quasi-continuous, square landscape under four demographic scenarios (island model, isolation-by-distance, expansion from one or two refugia). We varied the genetic resolution (number of individuals and loci) and the number of random sampling locations. We considered two measures of effect size, the MEMgene adjusted R2 and multivariate Moran’s I, which is related to Moran’s Eigenvector Maps. Both metrics were highly sensitive to the number of locations, even when using standardized effect sizes, SES, and the number of individuals sampled per location, but not to the number of loci. In comparative mode, using the same Moran Eigenvector Maps for all species, even those with missing values at some sampling locations, reduced bias due to the number of locations under isolation-by-distance (stationary process) but increased it under expansion from one or two refugia (non-stationary process). More robust measures of effect size need to be developed before the strength of spatial genetic structure can be accurately compared, either in a meta-analysis of independent empirical studies or within a comparative, multispecies landscape genetic study.

Spatial genetic structure in wild cherry (Prunus avium L.): I. variation among natural populations of different density

2010 ◽  
Vol 7 (2) ◽  
pp. 271-283 ◽  
Author(s):  
Céline Jolivet ◽  
Aki M. Höltken ◽  
Heike Liesebach ◽  
Wilfried Steiner ◽  
Bernd Degen
Keyword(s):  
Genetic Structure ◽  
Prunus Avium ◽  
Spatial Genetic Structure ◽  
Natural Populations ◽  
Wild Cherry ◽  
Prunus Avium L

Population genetic structure of the Gulf of St. Lawrence aster, Symphyotrichum laurentianum (Asteraceae), a threatened coastal endemic

Botany ◽  
2009 ◽  
Vol 87 (11) ◽  
pp. 1089-1095 ◽  
Author(s):  
Stephen B. Heard ◽  
Linley K. Jesson ◽  
Kirby Tulk
Keyword(s):  
Genetic Variation ◽  
Genetic Structure ◽  
Threatened Species ◽  
Population Genetic Structure ◽  
Population Genetic ◽  
Isolation By Distance ◽  
Spatial Genetic Structure ◽  
Population Decline ◽  
Allelic Diversity ◽  
Magdalen Islands

The Gulf of St. Lawrence aster ( Symphyotrichum laurentianum (Fernald) G.L. Nesom) is an endemic annual of saline habitats in the southern Gulf of St. Lawrence. It is listed as a threatened species, and has recently experienced population declines in much of its range. We used 11 allozyme markers to assay population genetic variation in six wild populations of S. laurentianum from the Magdalen Islands, Quebec (QC), the only remaining wild population from Prince Edward Island National Park (PEI), and a greenhouse population founded in 1999 with seed collected from PEI. Symphyotrichum laurentianum harbours moderate genetic diversity (Ps = 0.36, As = 1.54), with only modest spatial genetic structure (pairwise FST < 0.15) and no significant isolation by distance. The PEI population had greatly reduced allelic diversity compared with the populations from the Magdalen Islands, which likely act as a reservoir of genetic variation in S. laurentianum. Recent loss of alleles during population decline in PEI is suggested by the retention of greater allelic diversity in the greenhouse population. Estimates of breeding structure suggest small but nonzero rates of outcross pollination (FIS = 0.73, 95% CI = 0.48–0.97; outcrossing rate ∼16%). Population genetic structure in S. laurentianum can inform those forming and carrying out conservation and recovery plans for this threatened species.

scholarly journals Temporal patterns of spatial genetic structure and effective population size in European plaice (Pleuronectes platessa) along the west coast of Scotland and in the Irish Sea

2009 ◽  
Vol 67 (4) ◽  
pp. 607-616 ◽  
Author(s):  
Phillip C. Watts ◽  
Suzanne M. Kay ◽  
Drew Wolfenden ◽  
Clive J. Fox ◽  
Audrey J. Geffen ◽  
...  
Keyword(s):  
Genetic Structure ◽  
Population Size ◽  
Effective Population Size ◽  
West Coast ◽  
Isolation By Distance ◽  
Spatial Genetic Structure ◽  
Irish Sea ◽  
Effective Population ◽  
The West ◽  
Pleuronectes Platessa

Abstract Watts, P. C., Kay, S. M., Wolfenden, D., Fox, C. J., Geffen, A. J., Kemp, S. J., and Nash, R. D. M. 2010. Temporal patterns of spatial genetic structure and effective population size in European plaice (Pleuronectes platessa) along the west coast of Scotland and in the Irish Sea. – ICES Journal of Marine Science, 67: 607–616. The European plaice (Pleuronectes platessa) is a relatively mobile flatfish species, and previous studies have reported broad-scale genetic homogeneity among samples distributed throughout much of its northern European range, with no evidence for isolation-by-distance (IBD) population structure. Using microsatellite loci, the pattern of spatial genetic structure and effective population size is characterized for >800 plaice collected from locations off the west coast of Great Britain over a 3-year period (2001–2003). The plaice populations are characterized by weak spatial genetic structure, consistent with tagging data, and relatively low effective population sizes. In contrast to previous work, a pattern of isolation by distance is present among pairs of plaice from within each sampling period. However, IBD spatial structure was not observed for comparisons of plaice from different sampling years or using the entire dataset, indicating a patchy temporal genetic structure. Therefore, pooling the data from several years can mask subtle patterns of population structure and potentially confound estimation of other important demographic parameters, such as effective population size.

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