Selección de levaduas vínicas provenientes de la Provincia de Mendoza

El objetivo del siguiente trabajo fue seleccionar cepas de levaduras para uso enológico mediante métodos simples aplicables en laboratorios básicos de enología. Las Cátedras de Microbiología y Enología de la Facultad de Ciencias Agrarias, UNCuyo, cuentan con un cepario de levaduras provenientes de viñedos de Departamentos vitícolas de la Provincia de Mendoza: Luján de Cuyo, Tupungato, Maipú y Junín. Se tomó una muestra representativa de 40 aislados. En cada levadura se evaluaron características tecnológicas que establecen la eficiencia de la misma en el proceso de fermentación (tolerancia al etanol, poder de fermentación, cinética de fermentación, resistencia el anhídrido sulfuroso, formación de sedimento, factor killer, preferencia de consumo de glucosa y fructosa, producción de espuma, formación de film o anillo) y cualitativas que ayudan a determinar la composición química y la participación en las cualidades sensoriales de los vinos (actividad β-glucosidasa, formación de ácido acético y producción de ácido sulfhídrico). Los ensayos se realizaron por triplicado. Los parámetros estadísticos fueron calculados en InfoStat, para el agrupamiento de datos se utilizó el programa NTSyS 2.0 mediante el coeficiente UPGMA. De la muestra de cepas utilizadas en este trabajo, pocas fueron las que presentaron todas las características enológicas deseadas para llevar a cabo una fermentación vínica, asimismo, no existe un criterio único de selección, en consecuencia se plantea una necesidad de evaluar levaduras en función de las características del mosto y del vino que se desea elaborar. Del análisis de los resultados se concluye que hay una cepa que cumple con los requerimientos enológicos propuestos para elaborar vinos blancos y puede ser usada también para fermentaciones lentas o detenidas, otra cepa óptima para vinificaciones tintas y al igual que el aislado anterior puede intervenir cuando es necesario reanudar fermentaciones o aumentar le velocidad de las mismas, se hallaron además 2 levaduras aptas para vinificaciones tintas. Por último, cabe destacar, que estos ensayos son suficientes para cumplir los objetivos planteados en este trabajo, pero si se desea trabajar a nivel comercial deben realizarse pruebas moleculares de identificación y ensayos de vinificación a mayor escala.

Genetic diversity among alfalfa genotypes (Medicago sativa L.) of non-dormant cultivars using SSR markers and agronomic traits

The aim of this study was to assess genetic diversity among 40 alfalfa (Medicago sativa L.) genotypes of different non-dormant (FD=8) cultivars. Biomass yield, regrowth speed and reaction to spring black stem, lepto leaf spot, and rust were evaluated. Analyses of variances were performed using a mixed model to examine the agronomic variation among individuals. A principal component analysis on standardized agronomic data was performed. Agronomic data were also used to calculate Gower's distance and UPGMA algorithm. For the molecular analysis, six SSR markers were evaluated and 84 alleles were identified. The genetic distance was estimated using standard Nei's distance. Average standard genetic diversity was 0.843, indicating a high degree of variability among genotypes. Finally, a generalized procrustes analysis was performed to calculate the correlation between molecular and agronomic distance, indicating a 65.4% of consensus. This value is likely related to the low number of individuals included in the study, which might have underestimated the real phenotypic variability among genotypes. Despite the low number of individuals and SSR markers analyzed, this study provides a baseline for future diversity studies to identify genetically distant alfalfa individuals or cultivars.

Proteómica de la madurez del tomate : identificación de dos estados de madurez del fruto por perfiles proteicos totales del pericarpio en RILs de tomate

Durante la madurez del fruto se producen cambios morfológicos, fisiológicos y bioquímicos provocados por la expresión regulada de diferentes genes. El objetivo de este trabajo fue verificar si la presencia de polipéptidos totales del pericarpio en los estados verde maduro (VM) y rojo maduro (RM) permite caracterizar la madurez del tomate. Se analizaron 18 líneas endocriadas recombinantes obtenidas por selección antagónica-divergente de un cruzamiento entre la cv. Caimanta (Solanum lycopersicum) y la entrada LA722 (S. pimpinellifolium), que fueron incluidas junto a la F1 como testigos experimentales. Los extractos proteicos se obtuvieron de dos muestras independientes de cada estado según el protocolo estándar y se resolvieron en SDS-PAGE. Se analizó la presencia/ausencia de bandas por genotipos y por estado, detectándose 26 en VM y 29 en RM. Algunas bandas fueron comunes entre estados, mientras que otras resultaron propias de VM o RM, respectivamente. Se calcularon las distancias de Jaccard y se realizó un análisis de conglomerados según el método UPGMA. En el dendrograma (correlación cofenética = 0,43) se distinguieron dos grandes grupos definidos por el estado de madurez. Se concluye que los perfiles proteicos del pericarpio son una herramienta postgenómica apropiada para identificar dos estados de madurez del fruto de tomate.

Caracterización de un cepario de levaduras para uso enológico mediante técnicas moleculares

La Facultad de Ciencias Agrarias de la Universidad Nacional de Cuyo posee una colección de levaduras vínicas provenientes de Departamentos de importancia vitivinícola de la provincia de Mendoza. Esta colección ha sido constituida a fin de disponer de material para su uso de acuerdo a diferentes objetivos enológicos. La finalidad de este estudio fue caracterizar microorganismos representantes de esta colección mediante técnicas moleculares. Para un total de 56 cepas analizadas se encontraron 39 patrones diferentes según la técnica de diferenciación intraespecífica para S. cerevisiae, PCR interdelta. La mayoría de las levaduras analizadas mostraron un perfil molecular único, aunque se observaron algunas coincidencias. Cinco patrones moleculares interdelta agruparon individuos que presentaron similitudes en su perfil de bandas aún cuando fenotípicamente habían sido considerados como diferentes en trabajos anteriores. Mediante la construcción de un dendrograma, utilizando la metodología UPGMA, se realizó el agrupamiento de los patrones PCR interdelta obtenidos para todas las cepas analizadas, con la finalidad de visualizar cómo se relacionan y/o agrupan la totalidad de los individuos en base a las semejanzas en sus perfiles moleculares. Por otro lado, se analizó la similitud encontrada a nivel molecular entre cepas con respecto a las características fenotípicas generales y de importancia tecnológica para poder comparar si su comportamiento también fue similar a este nivel, observándose que las cepas agrupadas en tres de estos cinco patrones repetidos, también presentaron similitudes en las mencionadas características coincidiendo también en su procedencia. Por otro lado, se realizó una comparación visual de los principales patrones obtenidos con respecto a patrones Interdelta de cepas comerciales, pudiendo verificarse la similitud de dos patrones de la colección con aislados comerciales. Con el propósito de confirmar si efectivamente las levaduras que presentaron similitud según el análisis interdelta, corresponden a una misma cepa, se realizó un nuevo análisis intraespecífico aplicando otro marcador molecular: polimorfismo de longitud de los fragmentos de restricción del ADN mitocondrial (RFLP del ADN mitocondrial). Finalmente pudo observarse que de 56 cepas analizadas solo tres pares resultaron idénticos y las restantes 50 cepas serían diferentes entre sí según las técnicas utilizadas. Además podemos agregar que 11 de 56 individuos analizados no resultaron idénticos pero, dada su elevada similitud, probablemente comparten un parentesco cercano. El uso de herramientas moleculares es necesario por la importancia de preservar los recursos genéticos. La completa y correcta caracterización de los cultivos microbianos, requiere de la inclusión de herramientas moleculares que permitan asignar una identidad completa a los aislados y evitar errores como la repetición de cepas idénticas o el descarte de cepas consideradas iguales por falta de información.

Accurate reconstruction of a known HIV-1 transmission history by phylogenetic tree analysis.

Phylogenetic analyses are increasingly used in attempts to clarify transmission patterns of human immunodeficiency virus type 1 (HIV-1), but there is a continuing discussion about their validity because convergent evolution and transmission of minor HIV variants may obscure epidemiological patterns. Here we have studied a unique HIV-1 transmission cluster consisting of nine infected individuals, for whom the time and direction of each virus transmission was exactly known. Most of the transmissions occurred between 1981 and 1983, and a total of 13 blood samples were obtained approximately 2-12 years later. The p17 gag and env V3 regions of the HIV-1 genome were directly sequenced from uncultured lymphocytes. A true phylogenetic tree was constructed based on the knowledge about when the transmissions had occurred and when the samples were obtained. This complex, known HIV-1 transmission history was compared with reconstructed molecular trees, which were calculated from the DNA sequences by several commonly used phylogenetic inference methods [Fitch-Margoliash, neighbor-joining, minimum-evolution, maximum-likelihood, maximum-parsimony, unweighted pair group method using arithmetic averages (UPGMA), and a Fitch-Margoliash method assuming a molecular clock (KITSCH)]. A majority of the reconstructed trees were good estimates of the true phylogeny; 12 of 13 taxa were correctly positioned in the most accurate trees. The choice of gene fragment was found to be more important than the choice of phylogenetic method and substitution model. However, methods that are sensitive to unequal rates of change performed more poorly (such as UPGMA and KITSCH, which assume a constant molecular clock). The rapidly evolving V3 fragment gave better reconstructions than p17, but a combined data set of both p17 and V3 performed best. The accuracy of the phylogenetic methods justifies their use in HIV-1 research and argues against convergent evolution and selective transmission of certain virus variants.

Description and critical appraisal of principal components analysis (PCA) methodology applied to pulsed-field gel electrophoresis profiles of methicillin-resistant Staphylococcus aureus isolates

Principal components analysis (PCA) has been described for over 50 years; however, it is rarely applied to the analysis of epidemiological data. In this study PCA was critically appraised in its ability to reveal relationships between pulsed-field gel electrophoresis (PFGE) profiles of methicillin- resistant Staphylococcus aureus (MRSA) in comparison to the more commonly employed cluster analysis and representation by dendrograms. The PFGE type following SmaI chromosomal digest was determined for 44 multidrug-resistant hospital-acquired methicillin-resistant S. aureus (MR-HA-MRSA) isolates, two multidrug-resistant community-acquired MRSA (MR-CA-MRSA), 50 hospital-acquired MRSA (HA-MRSA) isolates (from the University Hospital Birmingham, NHS Trust, UK) and 34 community-acquired MRSA (CA-MRSA) isolates (from general practitioners in Birmingham, UK). Strain relatedness was determined using Dice band-matching with UPGMA clustering and PCA. The results indicated that PCA revealed relationships between MRSA strains, which were more strongly correlated with known epidemiology, most likely because, unlike cluster analysis, PCA does not have the constraint of generating a hierarchic classification. In addition, PCA provides the opportunity for further analysis to identify key polymorphic bands within complex genotypic profiles, which is not always possible with dendrograms. Here we provide a detailed description of a PCA method for the analysis of PFGE profiles to complement further the epidemiological study of infectious disease. © 2005 Elsevier B.V. All rights reserved.

Salmonella in companion animals

In an increasingly hygiene concerned society, a major barrier to pet ownership is the perceived role of companion animals in contributing to the risk of exposure to zoonotic bacterial pathogens, such as Salmonella. Manifestations of Salmonella can range from acute gastroenteritis to perfuse enteric fever, in both humans and dogs. Dogs are heavily associated with asymptomatic carriage of Salmonella as the microorganism can persist in the lower intestines of this host which can be then excreted into the environment. Studies in to the asymptomatic carriage of Salmonella in dogs are somewhat dated and there is limited UK data. The current UK carriage rate in dogs was investigated in a randomised dog population and it was revealed that the carriage rate in this population was very low with only one household dog positive for the carriage of Salmonella enterica arizonae (0.2%), out of 490 dogs sampled. Salmonella serotypes share phenotypic and genotypic similarities which are captured in epidemiological typing methods. Therefore, in parallel to the epidemiological investigations, a panel of clinical canine (VLA, UK) and human (Aston University, UK) Salmonella isolates were profiled based on their phenotypic and genotypic characteristics; using API 20E, Biolog Microbial ID System, antibiotic sensitivity testing and PFGE, respectively. Antibiotic sensitivity testing revealed a significant difference between the canine and human isolates with the canine group demonstrating a higher resistance to the panel of antibiotics tested. Further metabolic capabilities of the strains were tested using the Biolog Microbial ID System, which reveal no clear association between the two host groups. However, coupled with Principle Component Analysis two canine isolates were discriminated from the entire population on the basis of a high up-regulation of two carbohydrates. API 20E testing revealed no association between the two host groups. A PFGE harmonised protocol was used to genotypically profile the strains. A dendrogram depicting PFGE profiles of the panel of Salmonella isolates was performed where similarities were calculated by Dice coefficient and represented by UPGMA clustering. Clustering of the profiles from canine isolates and human isolates (HPA, UK) was diverse representing a natural heterogeneity of the genus, additionally, no clear clustering of the isolates was observed between host groups. Clustering was observed with isolates from the same serotype, independent of host origin. Host adaption is a common phenomenon in certain Salmonella serotypes, for example S. Typhi in humans and S. Dublin in cattle. It was of interest to investigate potential host adaptive or restricted strains for canine host by performing adhesion and invasion assays on Dog Intestinal Epithelial Cells (DIECs) (WALTHAM®, UK) and human CaCo-2 (HPA, UK) cell lines. Salmonella arizonae and Enteritidis from an asymptomatic dog and clinical isolate, respectively, demonstrated a significantly high proportion of invasion in DIEC in comparison to human CaCo-2 cells and other tested Salmonella serotypes. This may be suggestive of a potential host restrictive strain as their ability to invade the CaCo-2 cell line was significantly lower than the other serotypes. In conclusion to this thesis the investigations carried out suggest that asymptomatic carriage of Salmonella in UK dogs is low however the microorganism remains as a zoonotic and anthroponotic pathogen based on phenotypic and genotypic characterisation however there may be potential for particular serotype to become host restricted as observed in invasion assays

Conservação genética da orquídea Cattleya granulosa Lindley

Cattleya granulosa Lind is a large and endemic orchid in Atlantic Forest fragments in Northeast Brazil. The facility of collecting, uniqueness of their flowers, which have varying colors between green and reddish brown, and distribution in coastal areas of economic interest make their populations a constant target of predation, which also suffer from environmental degradation. Due to the impact on their populations, the species is threatened. In this study, we evaluate the levels of spatial aggregation in a preserved population, analyze the phylogenetic relationships of C. granulosa Lindl. with four other Laeliinae species (Brassavola tuberculata, C. bicolor, C. labiata and C. schofieldiana) and also to evaluate the genetic diversity of 12 remaining populations of C. granulosa Lindl. through ISSR. There was specificity of epiphytic C. granula Lindl. with a single host tree, species of Eugenia sp. C. granulosa Lindl. own spatial pattern, with the highest density of neighbors within up to 5 m. Regarding the phylogenetic relationships and genetic patterns with other species of the genus, C. bicolor exhibited the greatest genetic diversity (HE = 0.219), while C. labiata exhibited the lowest level (HE = 0.132). The percentage of genetic variation among species (AMOVA) was 23.26%. The principal component analysis (PCA) of ISSR data showed that unifoliate and bifoliolate species are genetically divergent. PCA indicated a close relationship between C. granulosa Lindl. and C. schofieldiana, a species considered to be a variety of C. granulosa Lindl. by many researchers. Population genetic analysis using ISSR showed all polymorphic loci. The high genetic differentiation between populations (ФST = 0.391, P < 0.0001) determined the structure into nine groups according to log-likelihood of Bayesian analysis, with a similar pattern in the dendrogram (UPGMA) and PCA. A positive and significant correlation between geographic and genetic distances between populations was identified (r = 0.794, P = 0.017), indicating isolation by distance. Patterns of allelic diversity suggest the occurrence of population bottlenecks in most populations of C. granulosa Lindl. (n = 8). Genetic data indicate that enable the maintenance of genetic diversity of the species is complex and is directly related to the conservation of different units or groups that are spatially distant.

Ostracode relative abundances and geochemistry in surface sediments from Lake Ohrid

Understanding the ecology of bioindicators such as ostracods is essential in order to reconstruct past environmental and climate change from analysis of fossil assemblages preserved in lake sediment cores. Knowledge of the ecology of ancient Lake Ohrid's ostracod fauna is very limited and open to debate. In advance of the Ohrid ICDP-Drilling project, which has potential to generate high-resolution long-term paleoenvironmental data of global importance in paleoclimate research, we sampled Lake Ohrid and a wide range of habitat types in its surroundings to assess 1) the composition of ostracod assemblages in lakes, springs, streams, and short-lived seasonal water bodies, 2) the geographical distribution of ostracods, and 3) the ecological characteristics of individual ostracod species. In total, 40 species were collected alive, and seven species were preserved as valves and empty carapaces. Of the 40 ostracod species, twelve were endemic to Lake Ohrid. The most common genus in the lake was Candona, represented by 13 living species, followed by Paralimnocythere, represented by five living species. The most frequent species was Cypria obliqua. Species with distinct distributions included Heterocypris incongruens, Candonopsis kingsleii, and Cypria lacustris. The most common species in shallow, flooded areas was H. incongruens, and the most prominent species in ditches was C. kingsleii. C. lacustris was widely distributed in channels, springs, lakes, and rivers. Statistical analyses were performed on a "Lake Ohrid" dataset, comprising the subset of samples from Lake Ohrid alone, and an "entire" dataset comprising all samples collected. The unweighted pair group mean average (UPGMA) clustering was mainly controlled by species-specific depth preferences. Canonical Correspondence Analysis (CCA) with forward selection identified water depth, water temperature, and pH as variables that best explained the ostracod distribution in Lake Ohrid. The lack of significance of conductivity and dissolved oxygen in CCA of Ohrid data highlight the uniformity across the lake of the well-mixed waters. In the entire area, CCA revealed that ostracod distribution was best explained by water depth, salinity, conductivity, pH, and dissolved oxygen. Salinity was probably selected by CCA due to the presence of Eucypris virens and Bradleystrandesia reticulata in short-lived seasonal water bodies. Water depth is an important, although indirect, influence on ostracod species distribution which is probably associated with other factors such as sediment texture and food supply. Some species appeared to be indicators for multiple environmental variables, such as lake level and water temperature.

Clustering in non-parametric multivariate analyses.

Non-parametric multivariate analyses of complex ecological datasets are widely used. Following appropriate pre-treatment of the data inter-sample resemblances are calculated using appropriate measures. Ordination and clustering derived from these resemblances are used to visualise relationships among samples (or variables). Hierarchical agglomerative clustering with group-average (UPGMA) linkage is often the clustering method chosen. Using an example dataset of zooplankton densities from the Bristol Channel and Severn Estuary, UK, a range of existing and new clustering methods are applied and the results compared. Although the examples focus on analysis of samples, the methods may also be applied to species analysis. Dendrograms derived by hierarchical clustering are compared using cophenetic correlations, which are also used to determine optimum  in flexible beta clustering. A plot of cophenetic correlation against original dissimilarities reveals that a tree may be a poor representation of the full multivariate information. UNCTREE is an unconstrained binary divisive clustering algorithm in which values of the ANOSIM R statistic are used to determine (binary) splits in the data, to form a dendrogram. A form of flat clustering, k-R clustering, uses a combination of ANOSIM R and Similarity Profiles (SIMPROF) analyses to determine the optimum value of k, the number of groups into which samples should be clustered, and the sample membership of the groups. Robust outcomes from the application of such a range of differing techniques to the same resemblance matrix, as here, result in greater confidence in the validity of a clustering approach.

Clustering in non-parametric multivariate analyses.

Non-parametric multivariate analyses of complex ecological datasets are widely used. Following appropriate pre-treatment of the data inter-sample resemblances are calculated using appropriate measures. Ordination and clustering derived from these resemblances are used to visualise relationships among samples (or variables). Hierarchical agglomerative clustering with group-average (UPGMA) linkage is often the clustering method chosen. Using an example dataset of zooplankton densities from the Bristol Channel and Severn Estuary, UK, a range of existing and new clustering methods are applied and the results compared. Although the examples focus on analysis of samples, the methods may also be applied to species analysis. Dendrograms derived by hierarchical clustering are compared using cophenetic correlations, which are also used to determine optimum  in flexible beta clustering. A plot of cophenetic correlation against original dissimilarities reveals that a tree may be a poor representation of the full multivariate information. UNCTREE is an unconstrained binary divisive clustering algorithm in which values of the ANOSIM R statistic are used to determine (binary) splits in the data, to form a dendrogram. A form of flat clustering, k-R clustering, uses a combination of ANOSIM R and Similarity Profiles (SIMPROF) analyses to determine the optimum value of k, the number of groups into which samples should be clustered, and the sample membership of the groups. Robust outcomes from the application of such a range of differing techniques to the same resemblance matrix, as here, result in greater confidence in the validity of a clustering approach.

GENETIC DIVERSITY AMONG SORGHUM LANDRACES OF SOUTHWESTERN HIGHLANDS OF UGANDA

Sorghum ( Sorghum bicolor L. Moench) is an economic and staple crop in sub-Saharan Africa. The genetic diversity in its germplasm is an invaluable aid for its crop improvement. The objective of this study was to assess the existing genetic diversity among sorghum landraces in the southwestern highlands of Uganda. A total of 47 sorghum landraces, collected from southwestern highlands of Uganda, were characterised using 12 qualitative and 13 quantitative traits. The study was conducted at Kachwekano Research Farm in Kabale District, at an altitude of 2,223 m above sea level, during growing season of December 2014 to August 2015. Panicle shape and compactness were the most varied qualitative traits. Grain yield (1.23 to 11.31 t ha-1) and plant height (144.7 to 351.6 cm) were among quantitative traits that showed high variability. Days to 50% flowering (115 to 130 days) showed the least variability. Results of UPGMA cluster analysis generated a dendrogram with three clusters. Panicle weight, leaf width, stem girth, exertion length, peduncle length, panicle shape and compactness, glume colour and threshability were major traits responsible for the observed clustering (P<0.001). Principal Component Analysis revealed the largest variation contributors.

Development, characterization and use of genomic SSR markers for assessment of genetic diversity in some Saudi date palm ( Phoenix dactylifera L.) cultivars

Background: The present study was undertaken towards the development of SSR markers and assessing genetic relationships among 32 date palm ( Phoenix dactylifera L.) representing common cultivars grown in different geographical regions in Saudi Arabia. Results: Ninety-three novel simple sequence repeat markers were developed and screened for their ability to detect polymorphism in date palm. Around 71% of genomic SSRs were dinucleotide, 25% tri, 3% tetra and 1% penta nucleotide motives. Twenty-two primers generated a total of 91 alleles with a mean of 4.14 alleles per locus and 100% polymorphism percentage. A 0.595 average polymorphic information content and 0.662 primer discrimination power values were recorded. The expected and observed heterozygosities were 0.676 and 0.763 respectively. Pair-wise similarity values ranged from 0.06 to 0.89 and the overall cultivars averaged 0.41. The UPGMA cluster analysis recovered by principal coordinate analysis illustrated that cultivars tend to group according to their class of maturity, region of cultivation, and fruit color. Analysis of molecular variations (AMOVA) revealed that genetic variation among and within cultivars were 27% and 73%, respectively according to geographical distribution of cultivars. Conclusions: The developed microsatellite markers are additional values to date palm characterization tools that can be used by researchers in population genetics, cultivar identification as well as genetic resource exploration and management. The tested cultivars exhibited a significant amount of genetic diversity and could be suitable for successful breeding program. Genomic sequences generated from this study are available at the National Center for Biotechnology Information (NCBI), Sequence Read Archive (Accession numbers. LIBGSS_039019).

Agroclimatic classification: numerical- taxonomic procedures - a review.

The paper catalogues the procedures and steps involved in agroclimatic classification. These vary from conventional descriptive methods to modern computer-based numerical techniques. There are three mutually independent numerical classification techniques, namely Ordination, Cluster analysis, and Minimum spanning tree; and under each technique there are several forms of grouping techniques existing. The vhoice of numerical classification procedure differs with the type of data set. In the case of numerical continuous data sets with booth positive and negative values, the simple and least controversial procedures are unweighted pair group method (UPGMA) and weighted pair group method (WPGMA) under clustering techniques with similarity measure obtained either from Gower metric or standardized Euclidean metric. Where the number of attributes are large, these could be reduced to fewer new attributes defined by the principal components or coordinates by ordination technique. The first few components or coodinates explain the maximum variance in the data matrix. These revided attributes are less affected by noise in the data set. It is possible to check misclassifications using minimum spanning tree.

Divergência genética em genótipos de maracujazeiro azedo, com base em características físicas e químicas dos frutos.

RESUMO: Objetivou-se com o presente trabalho avaliar a divergência genética e as características físicas e químicas de frutos de duas populações do maracujazeiro azedo na região Norte do Espírito Santo, como as progênies de meio-irmãos de acesso local de um plantio comercial (genótipos: 1; 2; 3; 4; 5; 6; 7; 8; 9 e 10) e do híbrido BRS Ouro Vermelho (genótipos: 11; 12; 13; 14; 15; 16; 17; 18; 19 e 20). A divergência genética foi avaliada por procedimentos multivariados como a distância generalizada de Mahalanobis (D2) e pelos métodos de agrupamento de otimização de Tocher e UPGMA. Encontrou-se divergência genética entre as populações estudadas promovendo a formação de grupos diferentes entre o método de Tocher e do UPGMA. As características, referentes ao tamanho do fruto, diâmetro polar e equatorial, foram as que mais contribuíram na diversidade genética dos genótipos. Nas populações estudadas de maracujazeiro azedo há grande variabilidade genética quanto às características avaliadas, o que possibilita selecionar plantas com elevado potencial para fins de melhoramento genético. O híbrido BRS Ouro Vermelho apresenta boa adaptação às condições locais. ABSTRACT: The aim of the present work was to evaluate genetic divergence and physical and chemical characteristics in fruit of two populations of sour passion fruit in the northern region of the State of Espírito Santo, Brazil, these being half-sibling progenies from local accessions of a commercial crop (genotypes 1, 2, 3, 4, 5, 6, 7, 8, 9 and 10) and the hybrid BRS Ouro Vermelho (genotypes: 11, 12, 13, 14, 15, 16, 17, 18, 19 and 20). Genetic divergence was evaluated using such multivariate procedures as the generalised Mahalanobis distance (D2) and the Tocher optimisation and UPGMA clustering methods. Genetic divergence was found between the populations under study, promoting the formation of different groups between the Tocher and UPGMA methods. As characteristics for fruit size, the polar and equatorial diameters had the most impact on the genetic diversity of the genotypes. In the populations of sour passion fruit being studied, great genetic variability is seen in the evaluated characteristics, making it possible to select plants of high potential for breeding purposes. The BRS Ouro Vermelho hybrid is well adapted to the local conditions.