Diversity and genetic structure of Spondias tuberosa (Anacardiaceae) accessions based on microsatellite loci / Diversidad y estructura genética de "accesiones" de Spondias tuberosa (Anacardiaceae) basadas en loci de microsatélites

Abstract Introduction: Spondias tuberosa is a tree endemic to the semiarid region of Brazil with fruticulture potential. Objective: To estimate the diversity and genetic structure of S. tuberosa accessions from four areas of the semiarid region of Brazil, in order to facilitate conservation genetic resources studies in this species. Methods: DNA was extracted, using the CTAB 2x method, from leaf samples of 24 accessions of S. tuberosa available in the germplasm bank at Embrapa Semiárido, Brazil. Ten microsatellite loci were used in this study. Results: The UPGMA dendrogram, generated with a Jaccard coefficient similarity matrix, contains four groups at a 0.44 cutoff point. The similarity coefficient ranged from 0.30 to 0.84, indicating great divergence among the accessions. A Bayesian analysis conducted with the software Structure suggests there are two subpopulations, one formed by accessions from the Januária region and another by accessions from the Juazeiro, Uauá and Petrolina regions. The ΦST value of 0.12 for the analysis of molecular variance indicates moderate genetic differentiation among the four populations, suggesting that the genetic variability is moderately structured in function of region. Conclusions: Together, the analyses indicate that the genetic diversity of S. tuberosa is not uniformly distributed in the studied regions. Thus, germplasm from a greater number of populations should be collected to increase the germplasm bank genetic diversity of the species.

Resumen Introducción: Spondias tuberosa es un árbol endémico de la región semiárida de Brasil con potencial frutícola. Objetivo: Estimar la diversidad y caracterizar la estructura genética de accesiones de S. tuberosa en cuatro áreas del semiárido brasileño, para así facilitar estudios de conservación de recursos genéticos de esta especie. Metodología: El ADN fue extraído utilizando el método CTAB 2x a partir de muestras de hojas de 24 accesiones de S. tuberosa disponibles en el banco de germoplasma de Embrapa Semiárido, Brasil. Diez loci de microsatélites fueron usados en este estudio. Resultados: El dendrograma UPGMA generado con una matriz de similitud de coeficientes de Jaccard, formó cuatro grupos con punto de corte en 0.44. El coeficiente de similitud osciló entre 0.30 y 0.84, indicando una gran divergencia entre las accesiones. El análisis Bayesiano realizado en el software Structure sugiere la existencia de dos subpoblaciones, una formada por las accesiones de la región de Januária y otra derivada de las regiones de Juazeiro, Uauá y Petrolina. El valor de ΦST de 0.12 derivado del análisis molecular de la varianza indica moderada variación genética entre las cuatro poblaciones, sugiriendo que la variabilidad genética se estructura moderadamente en función de la región. Conclusiones: Los análisis en conjunto indican que la diversidad genética de S. tuberosa no se encuentra distribuida uniformemente en las regiones estudiadas. Por lo tanto, se debe recolectar germoplasma de un mayor número de poblaciones para aumentar la diversidad genética del banco actual de la especie.

Prueba de interacción en el análisis molecular de varianza / Test of interaction in the analysis of molecular variance

La diversidad genómica, expresada en las diferencias entre haplotipos moleculares de un conjunto de individuos, puede dividirse en componentes de variabilidad entre y dentro de algún factor de clasificación de los individuos. Para tal partición de varianzas, se usa análisis molecular de la varianza (AMOVA), el cual se construye a partir de las distancias multivariadas entre pares de haplotipos. El AMOVA clásico permite evaluar la significancia estadística de dos o más factores jerárquicos y consecuentemente no existe prueba de interacción entre factores. Sin embargo, existen situaciones donde los factores que clasifican a los individuos están cruzados y no anidados, es decir todos los niveles de un factor se encuentran representados en cada nivel del otro factor. Este trabajo propone una prueba estadística para evaluar la interacción entre factores cruzados en un AMOVA No-Jerárquico. La hipótesis nula de interacción establece que las diferencias moleculares entre individuos de distintos niveles de un factor son las mismas para todos los niveles del otro factor que los clasifica. La propuesta de análisis de interacción de factores a partir de distancias en un AMOVA No-Jerárquico comprende: cálculo de la matriz de distancia y partición de la misma en bloques, posterior cálculo de residuos y análisis de varianza no-paramétrico sobre los residuos. Su implementación es ilustrada en escenarios simulados y real. Los resultados sugieren que la prueba de interacción propuesta para el AMOVA No- Jerárquico presenta alta potencia.

The genomic diversity, expressed in the differences between molecular haplotypes of a group of individuals, can be divided into components of variability between and within some factor of classification of the individuals. For such variance partitioning, molecular analysis of variance (AMOVA) is used, which is constructed from the multivariate distances between pairs of haplotypes. The classical AMOVA allows the evaluation of the statistical significance of two or more hierarchical factors and consequently there is no interaction test between factors. However, there are situations where the factors that classify individuals are crossed rather than nested, that is, all the levels of a factor are represented in each level of the other one. This paper proposes a statistical test to evaluate the interaction between crossed factors in a Non-Hierarchical AMOVA. The null hypothesis of interaction establishes that the molecular differences between individuals of different levels of a factor are the same for all the levels of the other factor that classifies them. The proposed analysis of interaction in a Non- Hierarchical AMOVA includes: calculation of the distance matrix and partition of it into blocks, subsequent calculation of residuals and analysis of non-parametric variance on the residuals. Its implementation is illustrated in simulated and real scenarios. The results suggest that the proposed interaction test for the Non-Hierarchical AMOVA presents high power.

Molecular characterisation of Aspergillus flavus isolates from peanut fields in India using AFLP

Aflatoxin contamination of peanut, due to infection by Aspergillus flavus, is a major problem of rain-fed agriculture in India. In the present study, molecular characterisation of 187 Aspergillus flavus isolates, which were sampled from the peanut fields of Gujarat state in India, was performed using AFLP markers. On a pooled cluster analysis, the markers could successfully discriminate among the ‘A’, ‘B’ and ‘G’ group A. flavus isolates. PCoA analysis also showed equivalent results to the cluster analysis. Most of the isolates from one district could be clustered together, which indicated genetic similarity among the isolates. Further, a lot of genetic variability was observed within a district and within a group. The results of AMOVA test revealed that the variance within a population (84%) was more than that between two populations (16%). The isolates, when tested by indirect competitive ELISA, showed about 68.5% of them to be atoxigenic. Composite analysis between the aflatoxin production and AFLP data was found to be ineffective in separating the isolate types by aflatoxigenicity. Certain unique fragments, with respect to individual isolates, were also identified that may be used for development of SCAR marker to aid in rapid and precise identification of isolates.

Assessment of Genetic Diversity in Ethiopian Sesame (Sesamum indicum L.) Germplasm Using ISSR Markers.

Aim: This study aimed to uncover the diversity and population structure of 128 sesame genotypes using ISSR markers and identify highly diverse genotypes for the purposes of broadening the genetic base of sesame landraces grown in Ethiopia. Place and Duration of Study: The study was conducted in Botany research laboratory of Kasetsart University, Thailand, from April to July, 2013. Methodology: Genomic DNA of 128 sesame genotypes were subjected to PCR amplification and electrophoresis using seven ISSR markers and a binary data matrix prepared for each primer by scoring clear bands. The data generated were used to calculate the number of total bands (TB), polymorphic bands (PB), polymorphism percentage (P %) and polymorphic information content (PIC) for each locus. The number of different (Na) and effective (Ne) alleles, polymorphic loci (%), Shannon’s information index (I) and Nei’s gene diversity (He) for each population were calculated using GenAlEx 6.5 software. The data were also subjected to analysis of molecular variance (AMOVA) and principal coordinate analysis (PCoA) via distance matrix. Fixation index (Fst) was computed to measure genetic differentiation among populations. Genetic associations among individual genotypes were determined based on dissimilarity matrix using Darwin version 5.0 and a Neighbour-Joining hierarchal tree was constructed based on UPGMA. Results: The 7 ISSR primers in 128 sesame genotypes yielded 96 reproducible amplified bands. The number of amplified bands varied from 7 to 19. Out of 96 bands, 89 (92.2%) were polymorphic. Average number of bands and polymorphic bands per primer were 14 and 12.6 respectively. The polymorphic information content (PIC) value ranged between 0.26 and 0.76, showing the high informativeness of the selected primers. The overall gene diversity and Shannon’s information index were 0.37 and 0.54 respectively. Average dissimilarity value among the genotypes was 0.39. Maximum dissimilarity (0.88) was observed between genotypes Amr-NW6 and Amr-NG9 and less dissimilarity (0.014) was recorded between Amr-NW1 and Amr-NG1. SNNP-7 was the most diverse of all genotypes with highest average dissimilarity value of 0.77. AMOVA showed lower genetic divergence between populations (6%) than within population (94%) with average Fst of 0.061 across populations. The high intra-population variation could be because of large number of genotypes included and due to high out-crossing nature of sesame. Clustering and PCoA analyses clustered the genotypes into individual groups where most of the landraces were grouped in separate clusters irrespective of their geographic origins, while the cultivars were grouped in one cluster, suggesting less variability within the released varieties than the landraces. Accessions no. 56, 73, and 105 were out grouped from the rest. Conclusion: There exist considerable variations among sesame genotypes collected from different geographical regions of Ethiopia. Genotypes Amr-NSh-6, Benishangul-6 and SNNP-7 exhibited a good amount of genetic divergence and hence can be used in crossing program for genetic improvement of sesame in Ethiopia.

Haptoglobin polymorphism among the tribal groups of southern Gujarat.

BACKGROUND: Gujarat is located at the western most point of the Indian subcontinent. Valsad and Surat districts are part of the ‘tribal belt’of Gujarat and constitute 29.1% of total tribal population of Gujarat. These tribal populations are a rich source of gaining insights in the patterns of genetic diversity and genetico-environmental disorders against the back drop of their ecological, historical and ethnographic aspects. AIM: The objectives were to find out a) the genetic diversity among the tribes of Gujarat with reference to haptoglobin (Hp) locus b) the relationship between Hp polymorphism and sickle cell anemia/trait. MATERIALS AND METHODS: 431 individuals belonging to eight tribal groups were studied for Hp polymorphism using polyacrylamide disc gel electrophoresis (PAGE). Hb*S was screened by dithionate tube turbididy (DTT) test and confirmed using cellulose acetate membrane electrophoresis (CAME). STATISTICAL ANALYSIS: Allele frequency was calculated by direct gene counting method. Average heterozygosity and gene diversity were computed using software DISPAN. Analysis of molecular variance (AMOVA) was estimated using software ARLEQUIN version 3.1. RESULTS AND CONCLUSIONS: Pattern of allele frequency distribution showed preponderance of Hp2 allele in all the eight tribal groups, which is in accordance with its frequency in different populations of Indian subcontinent. Total average heterozygosity (HT) was found to be low (0.160) but the level of genetic differentiation (GST) was found to be moderately high (5.6%). AMOVA analysis indicated least among group variance between west and south Indian populations (-0.04%) indicating the affinities of the tribes of Gujarat with that of Dravidian speaking groups. Analysis of Hp phenotypes among sickle cell anemia/ trait individuals revealed a high frequency of Hp 0-0 phenotype (92.7%) among SS individuals as opposed to only 9.7% among AS individuals, reaffirming the selective advantage of HbAS state in relation to hemolytic disorders.

Genetic diversity of the sunflower caterpillar (Chlosyne lacinia saundersii Doubleday and Hewitson) (Lepidoptera: Nymphalidae) populations determined by molecular RAPD markers

Chlosyne lacinia saundersii is one of the most important pests of sunflower and it is the main target of insecticides applications. Larvae were collected in Londrina (PR), Santa Maria (RS), Dourados (MS), Ribeirão Preto (SP), Brasília (DF), Barreiras (BA), Uberaba (MG) and Vilhena (RO). Genomic DNA was extracted and amplified with ten-mer primers, which produced 101 loci. The size of the RAPD amplicons ranged from 180 to 2564 bp. Polymorphism among populations ranged from 31 percent to 67 percent, with the highest polymorphisms of 57 percent and 67 percent being detected in Uberaba and Vilhena populations, respectively. Populations with the highest similarity determined with Dice coefficient were from Ribeirão Preto and Barreiras, while insects from Londrina showed the highest similarity among them. Gene flow of C. lacinia saundersii 1.1 was lower than those previously observed for the noctuid Anticarsia gemmatalis Hübner, suggesting that C. lacinia saundersii populations are more isolated than the ones of this noctuid. Through the Analysis of Molecular Variance (AMOVA), RAPD variance was 33.64 percent among geographical populations and 66.36 percent within populations. These results suggest that populations of C. lacinia saundersii are genetically structured.

Chlosyne lacinia saundersii é uma das mais importantes pragas da cultura do girassol e o principal alvo das aplicações de inseticidas. As larvas foram coletadas em Londrina (PR), Santa Maria (RS), Dourados (MS), Ribeirão Preto (SP), Brasília (DF), Barreiras (BA), Uberaba (MG) e Vilhena (RO). O DNA genômico foi extraído e amplificado com dez primers, que produziram 101 locos. O tamanho das amplificações de RAPD variou de 180 a 2564 pb. O polimorfismo entre as populações variou de 31 por cento a 67 por cento, com maior polimorfismo 57 por cento e 67 por cento, detectado em populações de Uberaba e Vilhena, respectivamente. As populações com maior similaridade determinada com o coeficiente de Dice foram de Ribeirão Preto e Barreiras, enquanto os insetos coletados em Londrina apresentaram maior similaridade entre eles. O fluxo gênico de C. lacinia saundersii de 1,1 foi menor que o observado para a Anticarsia gemmatalis Hübner Noctuidae, sugerindo que as populações de C. lacinia saundersii estão mais isoladas do que estes noctuideos. Através da análise de variância molecular (AMOVA), RAPD a variação foi de 33,64 por cento entre as populações geográficas e 66,36 por cento dentro das populações. Estes resultados sugere que as populações de C. lacinia saundersii são geneticamente estruturadas.

Diversidade genética entre acessos de espinheira-santa (Maytenus ilicifolia Mart. ex Reis.) coletados no estado do Rio Grande do Sul, Brasil / Genetic diversity of "espinheira-santa" (Maytenus ilicifolia Mart. ex Reis.) accessions collected in Rio Grande do Sul State, Brazil

Maytenus ilicifolia Mart. ex Reis., popularmente conhecida como espinheira-santa, é espécie autóctone pertencente à família Celastraceae, usada para tratamento de úlceras gástricas e gastrites. Devido à importância medicinal, houve aumento no extrativismo das populações naturais, tornando-a uma espécie prioritária para a conservação, a fim de evitar a erosão genética. Buscou-se com este trabalho analisar a diversidade genética de 20 acessos de M. ilicifolia coletados em diferentes localidades no Rio Grande do Sul. Utilizando marcadores moleculares do tipo AFLP, foram testadas oito combinações de primers, que geraram 455 bandas eletroforéticas, 100 por cento polimórficas. As combinações de primers E-ACC/M-CAA, E-ACG/M-CTA, E-ACG/M-CTC apresentaram o maior número de bandas eletroforéticas, 71 cada, totalizando 46,80 por cento do polimorfismo total. Os valores de similaridade genética calculada pelo coeficiente simple matching foram utilizados para gerar o dendrograma de similaridade pelo método UPGMA. Foi obtido alto coeficiente de correlação cofenética (r=0,94), demonstrando elevada representatividade dos dados de similaridade genética no dendrograma. Pela AMOVA verificou-se que 89,33 por cento da diversidade total ocorreram entre indivíduos dentro das populações. A caracterização molecular de acessos de Maytenus ilicifolia por meio de AFLP foi eficiente para identificar diversidade genética. Através da análise de similaridade genética o banco de germoplasma poderia ser composto com os acessos que apresentaram menor similaridade e maior número de alelos, permitindo com que estes fornecessem ampla cobertura do genoma que compõem Maytenus ilicifolia. Os acessos que ficaram agrupados em mesmo cluster e com número reduzido de alelos podem ser descartados deste banco. A diversidade genética intrapopulacional identificada por esse marcador foi muito maior do que aquela entre populações.

Maytenus ilicifolia Mart. ex Reis., popularly known as "espinheira-santa", is an autochthonous species belonging to the Celastraceae family. This species is used to treat ulcers and gastritis. Due to its medicinal importance, the exploitation of natural populations has increased, making the conservation of this species essential to prevent genetic erosion. The aim of this work was to analyze the genetic diversity of 20 M. ilicifolia accessions collected in different localities of Rio Grande do Sul State. Using AFLP-type molecular markers, eight primer combinations were tested, producing 455 electrophoretic profiles, with 100 percent polymorphism. The primer combinations E-ACC/M-CAA, E-ACG/M-CTA and E-ACG/M-CTC presented the largest number of electrophoretic profiles, 71 each, totaling 46.80 percent of the total polymorphism. The values of genetic similarity estimated by Simple Matching Coefficient were used to produce the dendrogram of similarity by the UPGMA method. A high cophenetic correlation coefficient (r = 0.94) was obtained, demonstrating high representativeness of the data of genetic similarity in the dendrogram. Using AMOVA, 89.33 percent of the total diversity were observed among individuals from the same population. The molecular characterization of Maytenus ilicifolia accessions by AFLP allowed the identification of genetic diversity. The genetic similarity analysis indicated that the germplasm bank could be composed of the accessions presenting the lowest similarity and the largest numbers of alleles, providing a comprehensive coverage of Maytenus ilicifolia genome. The accessions that were grouped into one same cluster and with a reduced number of alleles could be disposed of this bank. The genetic diversity identified by this marker within populations was much greater than that between populations.

Comparative genetic diversity and genetic structure of three chinese silkworm species Bombyx mori L. (Lepidoptera: Bombycidae), Antheraea pernyi Guérin-Meneville and Samia cynthia ricini donovan (Lepidoptera: Saturniidae)

The genetic diversity and genetic structure of three Chinese silkworm species Bombyx mori L., Antheraea pernyi Guérin-Meneville and Samia cynthia ricini Donovan were comparatively assessed based on RAPD markers. At the species level, A. pernyi and B. mori showed high levels of genetic diversity, whereas S. cynthia ricini showed low level of genetic diversity. However, at the strain level, A. pernyi had relatively highest genetic diversity and B. mori had lowest genetic diversity. Analysis of molecular variance (AMOVA) suggested that 60 percent and 72 percent of genetic variation resided within strains in A. pernyi and S. cynthia ricini, respectively, whereas only 16 percent of genetic variation occurred within strains in B. mori. In UPGMA dendrogram, individuals of A. pernyi and B. mori formed the strain-specific genetic clades, whereas those of S. cynthia ricini were distributed in a mixed way. The implications of these results for the conservation and utilization in breeding programs of three silkworm species are discussed.

Genetic diversity in two variants of Orobanche gracilis Sm. [var. gracilis and var. deludens (Beck) A. Pujadas] (Orobanchaceae) from different regions of Spain

The pattern of genetic variation among populations of two Orobanche gracilis Sm. taxa (var. gracilis and var. deludens (Beck) A. Pujadas) from Northern and Southern Spain growing on different hosts was analysed using RAPD markers. The diversity analysis within populations revealed a higher level of diversity in the populations from the North when compared to the Southern ones. The results of principal co-ordinate analysis (PCoA) based on Dice distances among samples clearly established the separation of samples according to the taxonomical variety and the geographical origin of each population. The Southern populations of both var. gracilis and var. deludens were more differentiated among them than those of var. gracilis from the North. The analysis of molecular variance (AMOVA) indicated that the lowest level of population differentiation was found in O. gracilis var. gracilis from the North, whereas in the case of O. gracilis var. deludens from the South most of the genetic diversity was attributable to differences among populations. Possible explanations for the distribution of variation in these populations are discussed.

Genetic differentiation and patterns of gene flow of seven minority populations in Xinjiang / 西安交通大学学报(医学版)

Objective Genotype data of nine CODIS STR loci were gathered to examine the features of population differentiation and gene flow of seven Xinjiang minorities.Methods Heterozygosity,Nei's coefficient of genetic differentiation,Nei's genetic distance and Wright's F-statistics were calculated. Statistical tests using exact method were performed to measure the level of differentiation.Phylogenetic trees were constructed by Mega;AMOVA was processed by Arlequin.R-matrix model had been applied to describe the patterns of gene flow.Results It shows that average genetic heterogeneity for each population was above 0.7 with genetic differentiation coefficient below 2%.Statistical tests for population differentiation were significant for most of the loci.Phylogenetic analysis and AMOVA showed that all populations were divided into three main groups.The R-matrix analysis reflected that Uygur,Kirgiz and Ozbek had more amounts of gene flow than other populations,while the pattern of Hui was more isolated.Conclusion The seven minorities in Xinjiang are independent populations,while the level of differentiation is at average.The relationship in evolution is not far from each other,with wide gene flow.