Component Discriminant Analysis Research Articles

Molecular epidemiology of the citrus bacterial pathogen Xanthomonas citri pv. citri from the Arabian Peninsula reveals a complex structure of specialist and generalist strains.

Molecular epidemiology studies are essential to refine our understanding of migrations of phytopathogenic bacteria, the major determining factor in their emergence, and to understand the factors that shape their population structure. Microsatellite and minisatellite typing are useful techniques for deciphering the population structure of Xanthomonas citri pv. citri, the causal agent of Asiatic citrus canker. This paper presents a molecular epidemiology study, which has improved our understanding of the history of the pathogen's introductions into the Arabian Peninsula, since it was first reported in the 1980s. An unexpectedly high genetic diversity of the pathogen was revealed. The four distinct genetic lineages within X. citri pv. citri, which have been reported throughout the world, were identified in the Arabian Peninsula, most likely as the result of multiple introductions. No copper‐resistant X. citri pv. citri strains were identified. The pathogen's population structure on Mexican lime (their shared host species) was closely examined in two countries, Saudi Arabia and Yemen. We highlighted the marked prevalence of specialist pathotype A* strains in both countries, which suggests that specialist strains of X. citri pv. citri may perform better than generalist strains when they occur concomitantly in this environment. Subclade 4.2 was the prevailing lineage identified. Several analyses (genetic structure deciphered by discriminant analysis of principal components, RST‐based genetic differentiation, geographic structure) congruently suggested the role of human activities in the pathogen's spread. We discuss the implications of these results on the management of Asiatic citrus canker in the region.

Genetic Diversity and Population Structure of Local Chicken Ecotypes in Burkina Faso Using Microsatellite Markers.

The objective of this study was to investigate the genetic diversity and population structure of local chicken ecotypes from Burkina Faso using microsatellite markers. A total of 71 individuals representing local chicken populations from the Centre-East (18), Centre-North (17), Sahel (18) and South-West (18) were used to estimate genetic diversity indices, population structure and phylogenetic relationships using 20 selected polymorphic microsatellite markers. The number of alleles, mean number of alleles, mean of observed and expected heterozygosity and polymorphic information content were 127, 6.35, 0.391, 0.521, 0.539 and 0.541, respectively. The estimated overall fixation index between loci (F), among populations (FIS) and inbreeding coefficient within chicken ecotypes were 0.239, 0.267 and 0.243, respectively. Analysis of the molecular variance revealed that 77% of the total genetic diversity was attributed to within-population variation and the remaining 1% and 22% were attributed to among-regions differentiation (FST) and among-individual differentiation (FIT), respectively. The highest pairwise genetic distance (0.026) was found between the local Konde ecotype and those from the Centre-North region while the lowest distance was observed between local chickens from the Sahel and the Centre-North regions (0.003). Neighbour-joining phylogenetic tree and principal component discriminant analyses confirmed the observed genetic distances between populations. The results show that local chickens in Burkina Faso have a rich genetic diversity with little differentiation between the studied populations. This study provides important information on measures of genetic diversity that could help in the design and implementation of future genetic improvement and conservation programs for local chickens in Burkina Faso.

A conservation genetics perspective on supportive breeding: A case study of the common nase (Chondrostoma nasus)

Abstract Supportive breeding programmes are becoming increasingly crucial for the conservation of many declining freshwater fishes such as the European common nase, Chondrostoma nasus. However, small relict populations are genetically highly vulnerable, and supportive breeding can have a detrimental impact on the genetic composition of the cultured offspring (e.g. as a result of inbreeding, genetic drift, and adaptation to captivity). This study monitored the genetic effects of a continuing supportive breeding programme of common nase by comparing the genetic diversity of two wild spawning populations with the respective wild offspring and the progeny from captive breeding originating from spawners of the two wild populations, considering genetic variability, genetic differentiation, and inbreeding effects using nine microsatellite markers. Despite low genetic differentiation, the offspring from captive breeding and from one of the natural populations (River Sims) were remarkably different genetically, as indicated by pairwise analyses of genetic divergence (FST from 0.028 to 0.070; Jost's DEST from 0.080 to 0.205) and the discriminant analysis of principal components. The mean number of alleles and mean allelic richness in the captive‐bred offspring and also in the wild offspring of the River Sims were lower than for wild populations of spawners and natural offspring of the River Mangfall, and signs of inbreeding effects were detected (F = 0.106 for captive bred and 0.048 for natural offspring). The observed effects can probably be attributed to the limited number of spawners (two females and three males) used for captive breeding. In addition, the results support previous evidence on recruitment problems of the Sims population, such as a reduced hatching success. Collecting fertilized eggs from the wild and rearing them in captivity (repatriation approach) could be an alternative to stripping a limited number of spawners and thereby to improve the conservation of genetic diversity of natural populations.

Quinoa variety identification based on fatty acid composition and multivariate chemometrics approaches

Quinoa consumption has increased in worldwide importance due to an extraordinary nutritional value and public acceptance as alternative food. Fatty acid profiles of 10 quinoa varieties grown in the same geographical location were analyzed using different chemometric multivariate approaches [variable in importance partial least square discriminant analysis (VIP-PLS-DA), stepwise linear discriminant analysis (S-LDA), linear discriminant analysis (LDA), random forests (RF) and canonical analysis of principal components (CAP)]. The application of variable selection approaches such as S-LDA and LDA significantly increased the classification accuracy (78% and 74% respectively) of the samples according to their variety. The S-LDA approach allowed to reduce the number of selected fatty acids, representing those fatty acids with higher statistical significance when applying other random and non-random approaches. These fatty acid profiles also allowed the estimation of the nutritional lipid profiles of each variety for suitability in the human diet, providing insights into the various nutritional qualities of each quinoa variety. It is proposed that these results can be used to facilitate the selection of varieties with optimized economic value.

Population genetic structure and morphological diversity of Cruzia tentaculata (Nematoda: Ascaridida), a parasite of marsupials (Didelphinae), along the Atlantic Forest on the eastern coast of South America.

Cruzia tentaculata is a helminth parasite of marsupials and has a wide geographic distribution from Mexico to Argentina. The aim of this study was to analyse the genetic population structure of this nematode along the Atlantic Forest biome. Cruzia tentaculata specimens were recovered from Didelphis aurita, Didelphis albiventris and Philander quica in 9 localities. Morphological and morphometric data were investigated for phenotypic diversity among localities and hosts using multivariate discriminant analysis of principal components. Phylogenetic relationships of C. tentaculata were determined using maximum likelihood and Bayesian inference. The population structure was analysed by fixation indices, molecular variance analysis, Tajima's D and Fu's Fs neutrality tests, Mantel tests and Bayesian clustering analysis. A higher significant morphometric difference for males was observed between localities. In the haplogroup networks, 2 groups were recovered, separating locations from the north and from the south/southeast. The morphometric variation in C. tentaculata between different localities was compatible with this north and southeast/south pattern, suggesting adaptation to different ecological conditions. Population genetic analyses suggested a pattern of evolutionary processes driven by Pleistocene glacial refugia in the northeast and southeast of the Atlantic Forest based on the distribution of genetic diversity.

Population genomics reveals a single semi-continuous population of a commercially exploited marine gastropod

Buccinum undatum is a commercially important marine gastropod with limited dispersal capabilities. Previous genetic studies utilising microsatellites and Double-digest Restriction-site Associated DNA sequencing (ddRADseq) provided evidence that B. undatum exhibits fine-scale genetic structure. Using ddRADseq, 128 individuals from the southern North Sea, English Channel, and the Irish Sea were genotyped using 7015 filtered single nucleotide polymorphisms (SNPs), 19 of which were identified as being under putative selection. Multiple genetic clustering methods – Discriminant analysis of principal components, Principal component analysis, and Sparse non-negative matrix factorisation,– were used to investigate population structure. Spatially explicit genetic structure was investigated using an Estimated Effective Migration Surface analysis and a Mantel correlogram. A single genetic population was found using neutral SNPs, with weak within-population structuring. Global FST was low (0.0046, p < 0.001), and pairwise FST estimates between sampling locations were between 0.0004 and 0.0224. There was a significant trend of isolation-by-distance across all sampling locations (r = 0.743, p < 0.001). Positive spatial autocorrelation indicated whelks located ≤ 50 km of one another were significantly more related than by chance (r = 0.12, p = 0.003), further emphasising the low dispersal capabilities of B. undatum. Finally, two barriers of lower-than-average dispersal were discovered; the Thames estuary and across the English Channel. Management implications are discussed for the sustainability of whelks from inshore fisheries.

Temporally stable small-scale genetic structure of Northern pike (Esox lucius) in the coastal Baltic Sea

The Northern pike (Esox lucius) is an important predator in freshwater and brackish water environments. In the Baltic Sea, Northern pike follows isolation by distance pattern across wide geographical scale. However, relatively little is known about the fine-scale population divergence and temporal genetic variation of Baltic pike, especially for populations inhabiting the eastern part of the Baltic Sea. Here, we characterize the population genetic structure of Northern pike and its temporal stability in six freshwater and one brackish water locations on the Island of Saaremaa (Estonia). To accomplish this, we collected 274 young-of-the-year (YOY) of two consecutive cohorts and 218 older specimens that were genotyped using ten microsatellite loci. Our results indicate a temporally stable population differentiation between geographically close locations and reduced diversity of the north-western Saaremaa populations. Furthermore, the correspondence analysis and a discriminant analysis of principal components showed a clear differentiation between north-western and the Gulf of Riga spawning grounds. Our findings support the idea that natal homing behavior, limited dispersal and facultative anadromy in Baltic pike likely promotes the existence of temporally stable genetic divergence among different populations at small geographical scale, representing an essential prerequisite for development of local adaptations. Thus, conservation, management and restoration efforts of coastal Baltic Sea pike should preserve the existing genetic differences between different populations and avoid actions, which potentially increase genetic homogenization.

Genetic structure of American bullfrog populations in Brazil

Non-native species are a major problem affecting numerous biomes around the globe. Information on their population genetics is crucial for understanding their invasion history and dynamics. We evaluated the population structure of the non-native American bullfrog, Aquarana catesbeiana, in Brazil on the basis of 324 samples collected from feral and captive groups at 38 sites in seven of the nine states where feral populations occur. We genotyped all samples using previously developed, highly polymorphic microsatellite loci and performed a discriminant analysis of principal components together with Jost’s D index to quantify pairwise differentiation between populations. We then amplified 1,047 base pairs of the mitochondrial cytochrome b (cytb) gene from the most divergent samples from each genetic population and calculated their pairwise differences. Both the microsatellite and cytb data indicated that bullfrogs comprise two populations. Population grouping 1 is widespread and possesses two cytb haplotypes. Population grouping 2 is restricted to only one state and possesses only one of the haplotypes from Population grouping 1. We show that there were two imports of bullfrogs to Brazil and that there is low genetic exchange between population groupings. Also, we find that there is no genetic divergence among feral and captive populations suggesting continuous releases. The limited genetic variability present in the country is associated to the small number of introductions and founders. Feral bullfrogs are highly associated to leaks from farms, and control measures should focus on preventing escapes using other resources than genetics, as feral and captive populations do not differ.

Elucidating the Population Structure and Genetic Diversity of Indian Puccinia striiformis f. sp. tritici Pathotypes Based on Microsatellite Markers

In India, systematic wheat yellow rust survey and pathotype (race) analysis work began in 1930. However, information on population structure and genetic diversity of yellow rust pathogen has not been available. To address this, we conducted studies on population structure and genetic diversity of Puccinia striiformis f. sp. tritici (Pst) pathotypes using 38 simple sequence repeat primer-pairs. Bayesian assignment and discriminant analysis of principal components indicated the presence of two distinct Pst subpopulations (Pop1 and Pop2) along with 37.9% admixed pathotypes. The unweighted pair-group method with arithmetic mean also categorized these pathotypes into two major clusters. Principal coordinates analysis explained 20.06 and 12.50% variance in horizontal and vertical coordinates, respectively. Index of association (IA) and the standardized index of association ([Formula: see text]) values showed that Pst subpopulations reproduced asexually (clonally). In total, 102 alleles were detected, with the expected heterozygosity (Hexp) per locus ranging from 0.13 to 0.73, with a mean of 0.47. The average polymorphic information content value of 0.40 indicated high genetic diversity among pathotypes. Analysis of molecular variance revealed 12% of the total variance between subpopulations, 11% among the pathotypes of each subpopulation, and 77% within pathotypes. A significant moderate level of genetic differentiation (FST = 0.122, P < 0.001) and gene flow (Nm = 1.80) were observed between subpopulations. The Pst virulence phenotypes showed a weak positive correlation (R2 = 0.027, P < 0.02) with molecular genotypes.

Polygenic discrimination of migratory phenotypes in an estuarine forage fish.

Migration is a complex phenotypic trait with some species containing migratory and nonmigratory individuals. Such life history variation may be attributed in part to plasticity, epigenetics, or genetics. Although considered semianadromous, recent studies using otolith geochemistry have revealed life history variation within the critically endangered Delta Smelt. Broadly categorizable as migratory or freshwater residents, we examined Restriction site Associated DNA sequencing data to test for a relationship between genetic variation and migratory behaviors. As previously shown, we found no evidence for neutral population genetic structure within Delta Smelt; however, we found significant evidence for associations between genetic variants and life history phenotypes. Furthermore, discriminant analysis of principal components, hierarchical clustering, and machine learning resulted in accurate assignment of fish into the freshwater resident or migratory classes based on their genotypes. These results suggest the presence of adaptive genetic variants relating to life history variation within a panmictic population. Mechanisms that may lead to this observation are genotype dependent habitat choice and spatially variable selection, both of which could operate each generation and are not exclusive. Given that the population of cultured Delta Smelt are being used as a refugial population for conservation, as a supply for wild population supplementation, and currently represent the majority of all living individuals of this species, we recommend that the hatchery management strategy consider the frequencies of life history-associated alleles and how to maintain this important aspect of Delta Smelt biological variation while under captive propagation.

SELECTING BIVARIATE COPULA MODELS USING IMAGE RECOGNITION

AbstractThe choice of a copula model from limited data is a hard but important task. Motivated by the visual patterns that different copula models produce in smoothed density heatmaps, we consider copula model selection as an image recognition problem. We extract image features from heatmaps using the pre-trained AlexNet and present workflows for model selection that combine image features with statistical information. We employ dimension reduction via Principal Component and Linear Discriminant Analyses and use a Support Vector Machine classifier. Simulation studies show that the use of image data improves the accuracy of the copula model selection task, particularly in scenarios where sample sizes and correlations are low. This finding indicates that transfer learning can support statistical procedures of model selection. We demonstrate application of the proposed approach to the joint modelling of weekly returns of the MSCI and RISX indices.

Resolving the phylogenetic relationship among recently diverged members of the rockfish subgenus Sebastosomus

Rapid speciation is an important aspect of adaptive radiations, but can obfuscate phylogenetic relationships among taxa. For recent radiations, there are challenges to reconstructing the relationships among the species due to often shorter branch lengths. Resolution of these relationships is further confounded when studies only use a few genetic markers. Double digest restriction-site associated DNA sequencing (ddRADseq) is a method of next generation sequencing that identifies many single nucleotide polymorphisms (SNPs) throughout the genome. This increases statistical power to resolve close phylogenetic relationships like those found within an adaptive radiation. We used this approach to understand the evolutionary history of the rockfishes of the genus Sebastes, which experienced an adaptive radiation between 3 and 5 mya. Here, we reconstructed the phylogenetic relationships among six species of rockfish within the subgenus Sebastosomus using over 11,600 SNPs. This reconstruction includes the two recently diverged species, Sebastes mystinus and S. diaconus, that were first described genetically in 2008 using mtDNA control region sequence data and six microsatellite loci. We confirmed the relationship of these cryptic species as sister-taxa and found evidence that S. melanops and S. flavidus were also sister-taxa. The latter contradicts prior studies but is supported by our reconstruction using nuclear DNA and measures of genetic differentiation tests and a discriminant analysis of principal components. The relationships between the species of Sebastosomus are further supported by morphological, biological, and ecological justifications.

Discriminant Analysis of the Nutritional Components between Organic Eggs and Conventional Eggs: A 1H NMR-Based Metabolomics Study.

The difference of nutrient composition between organic eggs and conventional eggs has always been a concern of people. In this study, 1H nuclear magnetic resonance (NMR) technique combined with multivariate statistical analyses was conducted to identify the metabolite different in egg yolk and egg white in order to reveal the nutritional components information between organic and conventional eggs. The results showed that the nutrient content and composition characteristics were different between organic and conventional eggs, among which the content of glucose, putrescine, amino acids and their derivatives were found higher in the organic eggs yolk, while phospholipids were demonstrated higher in conventional eggs yolk. Organic acid, alcohol, amine, choline and amino acids were higher in conventional eggs white, but glucose and lactate in organic egg were higher. Our study demonstrated that there are more nutritive components and higher nutritional value in organic eggs than conventional eggs, especially for the growth and development of infants and young children, and conventional eggs have more advantages in promoting lipid metabolism, preventing fatty liver, and reducing serum cholesterol. Eggs have important nutritional value to human body, and these two kinds of eggs can be selected according to the actual nutrient needs.

Maize dispersal patterns associated with different types of endosperm and migration of indigenous groups in lowland South America.

The lowlands of South America appear to be remarkably important in the evolutionary history of maize, due to new evidence that suggests that maize dispersed from Mexico and arrived in this region in a state of partial domestication. This study aimed to identify dispersal patterns of maize genetic diversity in this part of the continent. A total of 170 maize accessions were characterized with 4398 single nucleotide polymorphisms (SNPs) and analysed to determine if maize dispersal was associated with types of endosperm and indigenous language families. Four genetic groups were identified in the discriminant analysis of principal components and five groups in the cluster analysis (neighbour-joining method). The groups were structured according to the predominance of endosperm types (popcorn, floury, flint/semi-flint). Spatial principal component analysis of genetic variation suggests different dispersal patterns for each endosperm type and can be associated with hypotheses of expansions of different indigenous groups. From a possible origin in Southwestern Amazonia, different maize dispersal routes emerged: (1) towards Northern Amazonia, which continued towards the Caatinga and south-eastern Atlantic Forest (Floury); (2) towards Southern Brazil, passing through the Cerrado and Southern Atlantic Forest reaching the Pampa region (Floury); and (3) along the Atlantic Coast, following Tupi movements originating from two separate expansions: one (Tupinamba) from north to south, and the other (Guarani) in the opposite direction, from south to north (flint, floury and popcorn).

Unraveling the population structure of the sugarcane borer,Diatraea saccharalis, in Argentina

Diatraea saccharalis(Fabricius) (Lepidoptera: Crambidae) is one of the major lepidopteran pests throughout the Western Hemisphere. In Argentina, it causes significant losses mainly in sugarcane (Saccharum officinarumL.) and corn (maize,Zea maysL.) (both Poaceae). Previous studies determined the existence of reproductive incompatibilities between populations from Buenos Aires and Tucumán from different host plants; however, the genetic basis of this incompatibility is still unknown. As the effectiveness of pest control programs mainly depends on strategies that minimize the risk of favoring insecticide‐resistant genotypes, estimating the level of mating between genotypes is important to monitor and manage resistance. The aim of this study was to characterize the genetic structure ofD. saccharalispopulations collected from various hosts and regions in Argentina, comparing with those from Brazil, through cytochrome c oxidase subunit I (COI) analysis and next‐generation sequencing (NGS). The COI analysis showed a haplotypic diversity of 0.8 and a nucleotide diversity of 0.0058. Analysis of molecular variance revealed greater variation within populations than among them. The 17 haplotypes detected were linked in a single parsimony network that did not reveal clusters based on geography or host plants. In total, 4549 single nucleotide polymorphism markers (SNPs) were obtained through NGS. Out of the 2349 outlier loci, 84 showed similarities with previously characterized proteins. The coefficient of inbreeding showed evidence of random matings as well as some degree of selection. The fixation index values showed high genetic variation between Argentinean and Brazilian populations; however, there was no clear trend based on distance or hosts. Similarly, the discriminant analysis of principal components revealed three separate groups: one Brazilian and two Argentinean. Results generated important clarification of the population genetic structure ofD. saccharalisin South America, which provides information about routes of dispersal and the development of suitable management strategies.

Limited evidence of a genetic basis for sex determination in the common creek chub, Semotilus atromaculatus.

Sexual reproduction is almost universal in vertebrates; therefore, each animal species which uses it must have a mechanism for designating sex as male or female. Fish, especially, have a wide range of sex determining systems. In the present study, we aimed to identify a genetic basis for sex determination in the common creek chub (Semotilus atromaculatus) using genotyping-by-sequencing data. No sex-associated markers were found by RADSex or a GWAS using GEMMA; however, Weir and Cockerham locus-specific FST analysis and discriminant analysis of principal components revealed genetic differentiation between the sexes at several loci. While no explicit sex determination mechanism has been yet discovered in creek chub, these loci are potential candidates for future studies. Incompatible systems are thought to increase reproductive isolation but interspecific hybridization is common among groups such as cyprinid minnows; thus, studies such as ours can provide insight into hybridization and evolutionary diversification of this clade. We also highlight technical challenges involved in studying sex determination in evolutionary groups with extremely variable mechanisms and without heteromorphic sex chromosomes.

Population Structure of Moniliophthora perniciosa in the Main Cacao Producing Departments of Colombia.

The witches' broom (Moniliophthora perniciosa) is considered as one of the main threats for cacao production and, consequently, for chocolate production worldwide. In this work, the genetic diversity and population structure of M. perniciosa were analyzed for 59 isolates collected in five departments of Colombia and using 10 microsatellite markers. Analyses revealed 35 multilocus genotypes and clonal populations structure according to linkage disequilibrium analysis. One of the objectives of this study was to determine whether populations were differentiated by geographic origin or Theobroma cacao host genotype. Analysis of molecular variance, discriminant analysis of principal components, and Bruvo genetic distance suggested that the genetic structure was driven by geographic origin and not by T. cacao genotype. The results of this study were consistent with previous findings obtained in other cocoa-producing countries. Important insights were discussed regarding the dispersal patterns of the pathogen in Colombia and the genetic change of its populations because of different environmental conditions.

Population genetic diversity and structure of the pecan scab pathogen, Venturia effusa, on cv. Desirable and native seedlings, and the impact of marker number

AbstractScab (Venturia effusa) is the major cause of economic loss in pecan in the south‐eastern USA. We explored population genetic diversity and structure among orchards of cv. Desirable and native seedlings, and within‐orchard variability among trees of all cultivars sampled. We compared the ability of 30, 15 and 7 previously developed microsatellites to characterize the population genetic diversity and structure of V. effusa. Analyses of molecular variance (AMOVA) provided little evidence of structure dependent on cultivar, but there was some evidence of structure between orchards of a cultivar based on distance. Individual orchard AMOVA showed that three of 11 orchards had between‐tree population structure. Among six populations from cv. Desirable, a Mantel test showed that geographic distance was related to the pairwise genetic divergence (R2 = 0.84). Among 11 orchards of various cultivars there was little difference in diversity using 30, 15 or 7 markers, or population structure based on AMOVA. Some minor differences in population structure were seen based on discriminant analysis of principal components, or dendrograms. Thus, depending on the objectives, future studies may use as few as 15 or 7 markers without losing ability to discern population genetic diversity or structure. More populations exhibited linkage disequilibrium when using 15 or 30 markers compared to when using seven markers. Knowledge of population genetics of V. effusa in relation to host genotype is needed to understand pathogen population interactions and gene flow, knowledge that will help underpin future breeding efforts to develop durable resistance in this long‐lived orchard tree.

Genotyping-by-sequencing analysis of Orobanche crenata populations in Algeria reveals genetic differentiation.

Crenate broomrape (Orobanche crenata Forsk.) is a serious long‐standing parasitic weed problem in Algeria, mainly affecting legumes but also vegetable crops. Unresolved questions for parasitic weeds revolve around the extent to which these plants undergo local adaptation, especially with respect to host specialization, which would be expected to be a strong selective factor for obligate parasitic plants. In the present study, the genotyping‐by‐sequencing (GBS) approach was used to analyze genetic diversity and population structure of 10 Northern Algerian O. crenata populations with different geographical origins and host species (faba bean, pea, chickpea, carrot, and tomato). In total, 8004 high‐quality single‐nucleotide polymorphisms (5% missingness) were obtained and used across the study. Genetic diversity and relationships of 95 individuals from 10 populations were studied using model‐based ancestry analysis, principal components analysis, discriminant analysis of principal components, and phylogeny approaches. The genetic differentiation (F ST) between pairs of populations was lower between adjacent populations and higher between geographically separated ones, but no support was found for isolation by distance. Further analyses identified four genetic clusters and revealed evidence of structuring among populations and, although confounded with location, among hosts. In the clearest example, O. crenata growing on pea had a SNP profile that was distinct from other host/location combinations. These results illustrate the importance and potential of GBS to reveal the dynamics of parasitic weed dispersal and population structure.

Genetic structure of the endemic Dipterocarpus condorensis revealed by microsatellite markers.

Anthropogenic disturbances in tropical forests often affect the genetic diversity of a species. Dipterocarpus condorensis is an endangered species in the tropical forests of south-eastern Vietnam, both from its over-exploitation and habitat loss. Therefore, knowledge of population genetic diversity and population structure is essential for identifying the species conservation measures. In the present study, we evaluated genetic diversity and population structure using nine microsatellites for 183 individual trees from eight populations, representing the distribution range of D. condorensis in Vietnam. Two clustering approaches (Bayesian analysis and discriminant analysis of principal components) revealed that all studied individuals clustered into three genetic groups, which were related to gene flow across the range of D. condorensis in the lowland tropical forests of south-eastern Vietnam. Limited gene flow was implicated in anthropogenic disturbance. Genetic differentiation among populations was relatively low (the Weir and Cockerham index of 0.122 and the Hedrick index of 0.149) and showed significant differentiation. The genetic variability of the populations was low (HO = 0.298 and HE = 0.324), which suggested the negative effects of habitat degradation and over-exploitation. Our studies also determined that D. condorensis populations can have undergone recent bottlenecks. We recommend conservation activities for this species based on these results.