Modelando la Varianza de la Forma: Morfometría Geométrica Aplicaciones en Biología Evolutiva

Benítez, Hugo A.; Püschel, Thomas A.

doi:10.4067/s0717-95022014000300041

Cited by 32 publications

(21 citation statements)

References 69 publications

(82 reference statements)

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“…It is often necessary to standardize the variables and there are some limitations regarding scale/size effects. 22 Geometric morphometrics has proven to be a thriving method, with a great capacity for the identification of differences. 20 …”

Section: Discussionmentioning

confidence: 99%

Craniofacial geometric morphometrics in the identification of patients with sickle cell anemia and sickle cell trait

Ferreira

Nunes

Pithon

et al. 2020

Hematology, Transfusion and Cell Therapy

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Objective The aims of this study were to identify the main characteristics regarding the shape and size of the craniofacial region in patients with sickle cell anemia (SCA) and sickle cell trait (SCT) and in unaffected patients using geometric morphometrics and to check the efficiency of this method. Material and Methods A cross-sectional analytical study of 45 patients (15 in each group) was performed. Lateral radiographs of the skull were used for the analysis. Seventeen landmarks and semilandmarks were placed for the measurements. The Pocrustes analysis of variance (ANOVA), regression analysis, multivariate analysis of variance, canonical variate analysis, Mahalanobis and Procrustes distances and unweighted pair group method with arithmetic mean (UPGMA) clustering were performed. Allometric effects and sex characteristics were not statistically significant ( p > 0.05). Results There were, however, significant differences ( p < 0.05) in craniofacial shape among SCA, SCT and unaffected individuals. Those with SCA showed variations in the shape of the external auditory meatus and at the base of the occipital bone, in addition to the mandibular setback and upper incisor inclination, with a tendency towards prognathism. The individuals with SCT exhibited a similar craniofacial shape to those with SCA, but with slighter variations. Moreover, those with SCT were statistically closer in resemblance to unaffected individuals, given that SCT is not regarded as a disease. Conclusion This demonstrates the efficiency of geometric morphometrics in the categorization of the assessed groups.

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Section: Discussionmentioning

confidence: 99%

Craniofacial geometric morphometrics in the identification of patients with sickle cell anemia and sickle cell trait

Ferreira

Nunes

Pithon

et al. 2020

Hematology, Transfusion and Cell Therapy

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“…To analyze the information of shape, the effects from position, orientation and scale are removed by a generalized Procrustes superimposition analysis [1,39,40]. In order to see the differences or similarities in body shape of the species, a principal component analysis (PCA) was conducted in the program R 3.5.0 using the package geomorph [41,42].…”

Section: Morphometrics and Multivariate Analysesmentioning

confidence: 99%

“…One of the most outstanding and remarkable aspects of nature is morphological variability, with one of the main challenges lying in compared anatomy, where describing and quantifying morphological variation is essential to identify and classify organisms, analyze the structure-function relationship, understand ecological and behavioral aspects, recognize adaptations and rebuild macroevolutionary patterns. So, in the first approaches to morphometric studies, traditional morphometrics combines linear measures between anatomic points with single-and multivariate statistical techniques to analyze differences in size and shape [1].…”

Section: Introductionmentioning

confidence: 99%

“…But what is most important in geometric morphometrics is the shape described by landmarks [2][3][4]. Homologous structures (similar origin and location within the anatomy of the specimen) whether for their phylogenetic, structural, functional or developmental meaning [2,5,6], are those deriving from a common ancestral structure [1]. According to this definition of homology, "landmarks are required to be discrete, that is, that they are clearly distinguishable from the structures around them, allowing in this way that any construing of the variation observed can have a biological sense" [5,7].…”

Section: Introductionmentioning

confidence: 99%

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Quantifying the Geometric Shell Shape between Populations of True Limpets Lottia Mesoleuca (Mollusca: Lottidae) in Colombia

Echeverry

Londoño‐Cruz

Benítez

2020

Animals

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The increasing activity in morphological studies has provided new tools to analyses the shape quantitatively, these quantitative measurements allow the researcher to examine the variation in shape and perform analysis to examine the quantitative differences among the species shapes, where geometric morphometrics has rendered great results in the last years. This study was focused on assessing the morphometric variation between populations of Lottia mesoleuca of the family Lottidae, an abundant group of gastropods in the rocky ecosystems of Bahía Málaga and Isla Gorgona (Colombian Pacific). This family has a high morphological diversity, making the identification of some morphotypes problematic work. Geometric morphometrics methods were applied on the shell using dorsal, lateral and ventral views. Different multivariate analyses were performed to differentiate the groups of species and populations (principal component analysis, morphological distances comparisons and grouping analysis by means of the Ward method). The results indicate that individuals of the species Lottia mesoleuca have key geometric characteristics associated to the different populations (depth intertidal zones) for classification, being the geometric shape of the shell enough to determine morphotypes between the different populations studied. Aspects associated with the combination of ecological variables with morphometric ones are necessary to be able to visualize with a higher resolution the structural complexity of populations and their adaptation processes. Furthermore, it is obvious that there is a strong need to conduct more explorations of environmental and ecological processes that provide some insight on why the morphological characteristics are so variable in the same species.

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“…En esta contribución se revisan conceptos y métodos cuantitativos acumulados desde hace décadas usando mediciones lineales (Jeffers, 1967;Reyment et al, 1984;Marcus, 1990), y otros recientemente disponibles usando coordenadas Cartesianas de puntos (Claude, 2008;Zeldtich et al, 2012;Bookstein, 2018) para el análisis de los datos morfométricos. A diferencia de otras revisiones previas sin aplicaciones en sistemática y con un enfoque práctico (Toro-Ibacache et al, 2010;Jaramillo, 2011;Benítez y Püschel, 2014), aquí se enfatizan las bases teóricas de los espacios matemáticos y la lógica geométrica del morfoespacio de un carácter taxonómico. El objetivo de esta revisión es suministrar elementos conceptuales para una comprensión básica de los métodos morfométricos y estadísticos útiles en la sistemática bajo un enfoque filogenético.…”

Section: Introductionunclassified

Integrando análisis morfométricos y filogenéticos: de la sistemática fenética a la morfometría filogenética

Luna

2020

Acta Bot. Mex.

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Resumen:Antecedentes y Objetivos: Se han acumulado métodos cuantitativos para el uso de mediciones lineales y coordenadas Cartesianas de puntos en análisis de la variación morfométrica. A diferencia de revisiones previas, aquí se enfatizan las bases teóricas de los espacios matemáticos y del morfoespacio de un carácter taxonómico. El objetivo de esta revisión es suministrar elementos conceptuales para una comprensión básica de los métodos morfométricos y estadísticos útiles en la sistemática bajo un enfoque filogenético.Métodos: Los datos morfométricos se están aplicando en estudios de biología comparativa, usando las filogenias como referencia. En contraste, las aplicaciones de la morfometría en sistemática han sido con el objetivo de agrupar y distinguir grupos taxonómicos fenéticamente con la similitud total. Bajo un enfoque filogenético, los datos morfométricos también se pueden usar para el estudio de la variación de caracteres taxonómicos, la identidad de los estados y la inferencia de filogenias. Los grupos taxonómicos debieran ser propuestos a partir de grupos monofiléticos descubiertos con métodos filogenéticos.Resultados clave: Se presentan las bases de la teoría de la morfometría, geometría vectorial, el espacio de Kendall, la distancia Procrustes, proyección de espacios tangenciales y construcción de hipercubos del morfoespacio. Se revisan conceptos estadísticos útiles para la aplicación de los Análisis de Componentes Principales y los Análisis de Variables Canónicas en sistemática. Particularmente se dan recomendaciones y ejemplos sobre el uso de mediciones lineales y coordenadas de puntos en análisis morfométricos para la identificación de especies, la variación de caracteres taxonómicos y en la inferencia de filogenias y clasificación.Conclusiones: El amplio acervo actual de métodos brinda la oportunidad de integrar los datos morfométricos para descubrir homología táxica y homología transformacional. Esto implica un cambio epistemológico necesario para transitar de aplicaciones bajo una sistemática fenética, a la integración de los análisis morfométricos como parte de la investigación filogenética.

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Modelando la Varianza de la Forma: Morfometría Geométrica Aplicaciones en Biología Evolutiva

Cited by 32 publications

References 69 publications

Craniofacial geometric morphometrics in the identification of patients with sickle cell anemia and sickle cell trait

Craniofacial geometric morphometrics in the identification of patients with sickle cell anemia and sickle cell trait

Quantifying the Geometric Shell Shape between Populations of True Limpets Lottia Mesoleuca (Mollusca: Lottidae) in Colombia

Integrando análisis morfométricos y filogenéticos: de la sistemática fenética a la morfometría filogenética

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