Population trends of seabirds in Mexican Islands at the California Current System.

The Baja California Pacific Islands (BCPI) is a seabird hotspot in the southern California Current System supporting 129 seabird breeding populations of 23 species and over one million birds annually. These islands had a history of environmental degradation because of invasive alien species, human disturbance, and contaminants that caused the extirpation of 27 seabird populations. Most of the invasive mammals have been eradicated and colonies have been restored with social attraction techniques. We have recorded the number of breeding pairs annually for most of the colonies since 2008. To assess population trends, we analyzed these data and show results for 19 seabird species on ten island groups. The maximum number of breeding pairs for each nesting season was used to estimate the population growth rate (λ) for each species at every island colony. We performed a moving block bootstrap analysis to assess whether seabird breeding populations are increasing or decreasing. San Benito, Natividad, and San Jerónimo are the top three islands in terms of abundance of breeding pairs. The most widespread species is Cassin's Auklet (Ptychoramphus aleuticus) with 14 colonies. Thirty-one populations of 14 species are significantly increasing while eleven populations of seven species are decreasing. We did not find statistical significance for 19 populations, however, 15 have λ>1 which suggest they are growing. Twelve of the 18 species for which we estimated a regional population trend are significantly increasing, including seven surface-nesting species: Brandt's Cormorant (Phalacrocorax penicillatus), Brown Pelican (Pelecanus occidentalis), Caspian Tern (Hydroprogne caspia), Double-crested Cormorant (P. auritus), Elegant Tern (Thalasseus elegans), Laysan Albatross (Phoebastria immutabilis) and Western Gull (Larus occidentalis), and five burrow-nesting species: Ainley's (Hydrobates cheimomnestes), Ashy (H. homochroa) and Townsend's (H. socorroensis) Storm-Petrels, and Craveri's (Synthliboramphus craveri) and Guadalupe (S. hypoleucus) Murrelets. The BCPI support between 400,000 and 1.4 million breeding individuals annually. Our results suggest that these islands support healthy and growing populations of seabirds that have shown to be resilient to extreme environmental conditions such as the "Blob", and that such resilience has been strengthen from conservation and restoration actions such as the eradication of invasive mammals, social attraction techniques and island biosecurity.

Sexual Dimorphism and Foraging Trips of the Laysan Albatross (Phoebastria immutabilis) on Guadalupe Island.

Sexual dimorphism in the Laysan albatross (Phoebastria immutabilis) on Guadalupe Island was evaluated during the breeding seasons of 2015-2018 by measuring and comparing 10 morphological attributes: cranial length, bill length, nostril length, cranial width, bill height, bill width, tarsus length, closed wing length, opened wing length, and wingspan length in reproductive adults (n = 135). Males were larger than females across all traits (Student's t-test, p < 0.05, p < 0.05). We created a logistic model using stepwise regression to predict sex based on morphological variables. This model indicated four significant morphological predictor variables (z < 0.05) and was able to successfully predict the sex of P. immutabilis individuals in more than 90% of the cases. Based on these predictor variables, a web app was developed to determine the sex of the Laysan albatross in the field, providing a non-invasive method for rapid data collection that reduces costs and handling times while improving conservation efforts. We tracked Laysan albatross (n = 36) during breeding seasons and found no significant differences between females and males for either trip length (GLMM, F = 0.017, DF = 1, 1, p = 0.917 > 0.05) or maximum trip distance (GLMM, F = 0.374, DF = 1, 1, p = 0.651 > 0.05). Our results suggest that both sexes show a strong preference to travel to highly productive coastal waters northeast of the breeding colony that are influenced by the California Current. The present research will serve to establish a baseline to protect this species on Guadalupe Island and highlights the importance of understanding sexual dimorphism in at-risk seabird species.

Global differential expression of genes located in the Down Syndrome Critical Region in normal human brain.

BACKGROUND: The information of gene expression obtained from databases, have made possible the extraction and analysis of data related with several molecular processes involving not only in brain homeostasis but its disruption in some neuropathologies; principally in Down syndrome and the Alzheimer disease. OBJECTIVE: To correlate the levels of transcription of 19 genes located in the Down Syndrome Critical Region (DSCR) with their expression in several substructures of normal human brain. METHODS: There were obtained expression profiles of 19 DSCR genes in 42 brain substructures, from gene expression values available at the database of the human brain of the Brain Atlas of the Allen Institute for Brain Sciences", (http://human.brain-map.org/). The co-expression patterns of DSCR genes in brain were calculated by using multivariate statistical methods. RESULTS: Highest levels of gene expression were registered at caudate nucleus, nucleus accumbens and putamen among central areas of cerebral cortex. Increased expression levels of RCAN1 that encode by a protein involved in signal transduction process of the CNS were recorded for PCP4 that participates in the binding to calmodulin and TTC3; a protein that is associated with differentiation of neurons. That previously identified brain structures play a crucial role in the learning process, in different class of memory and in motor skills. CONCLUSION: The precise regulation of DSCR gene expression is crucial to maintain the brain homeostasis, especially in those areas with high levels of gene expression associated with a remarkable process of learning and cognition.

INTRODUCCIÓN: La información de la expresión de genes consignada en bases de datos, ha permitido extraer y analizar información acerca procesos moleculares implicados tanto en la homeostasis cerebral y su alteración en algunas neuropatologías. OBJETIVOS: Correlacionar los niveles de transcripción de 19 genes localizados en la región crítica del cromosoma 21, asociada a Síndrome de Down (DSCR), con la localización cerebral y su coexpresión en diferentes subestructuras del cerebro humano. MÉTODOS: A partir de valores de expresión génica disponibles en la base de datos del proyecto cerebro humano del Atlas del Cerebro del "Allen Institute for Brain Sciences" (http://human.brain-map.org/), se construyeron perfiles de expresión de 19 genes DSCR en 42 subestructuras cerebrales. Además, utilizando métodos estadísticos multivariados se analizaron los patrones de coexpresión de genes DSCR en el cerebro normal. RESULTADOS: En el núcleo caudado, el núcleo accumbens y el putamen además de las Áreas centrales 2, 3 y 4, se determinaron los valores de expresión más elevados para los genes incluidos RCAN1, que codifica para una proteína involucrada en el proceso de transducción de señales de SNC; PCP4 cuya proteína interviene en la unión a la calmodulina y TTC3 una proteína que interviene en la diferenciación de neuronas. Las subestructuras identificadas con una elevada expresión de estos genes, están asociadas con procesos de aprendizaje, en diferentes tipos de memoria y habilidades motoras. CONCLUSIONES: La regulación de la expresión de los genes DSCR es clave para mantener la homeostasis cerebral, especialmente en aquellas áreas de mayor expresión, las cuales están asociadas con procesos sumamente importantes.

Complejidad de la expresión de genes asociados a obesidad en el tejido adiposo humano / Complexity of the expression of genes associated with obesity in human adipose tissue / Complexidade da expressão de genes associados à obesidade no tecido adiposo humano

Resumen Objetivo: Analizar la complejidad de la expresión génica en tejido adiposo de genes asociados con obesidad, mediante simulación computacional con diferentes herramientas bioinformáticas. Métodos: Después de una búsqueda bibliográfica en PubMed, se seleccionaron 37 genes asociados con obesidad con fold change mayor a 1,5. A partir del cálculo de valores de los z-score obtenidos de experimentos de micromatrices de ADN de muestras de tejido adiposo de personas obesas y de control, se construyó una red de interacción con el programa Cytoscape 3.2. La información detallada sobre las características genómicas de estos genes se extrajo de las bases de datos Genome Browser de la UCSC y del NCBI. Utilizando herramientas de análisis de multivariado, se hizo un análisis de componentes principales y uno de agrupación. Resultados: La red construida mostró que los genes con mayor número de interacciones fueron: 1) el factor nuclear respiratorio (NRF1), 2) el canal activado de potasio activado por calcio alfa 1 (KCNMA1) y 3) la sintasa de ácidos grasos (FASN). Los que tuvieron mayores valores de expresión fueron: 1) el factor de crecimiento endotelial vascular A (VEGFA), 2) la dioxigenasa dependiente de alfa-cetoglutarato (FTO) y 3) el regulador de crecimiento neuronal 1 (NEGR1). Las proteínas IL6, BDNF y HLC tuvieron los mayores valores de interacción con IL6R, NRF1 y ACACB, respetivamente. Las categorías ontológicas más importantes se relacionaron con procesos metabólicos de lipoproteínas, el ciclo de los ácidos tricarboxílicos, la activación de las MAP-quinasas y la cascada JNK. Conclusiones: En su conjunto los resultados obtenidos de sobreexpresión diferencial de genes asociados con el metabolismo de lípidos en el tejido adiposo de personas obesas podría ser un criterio para discriminar a nivel de diagnóstico esta patología.

Summary Objective: To analyze the complexity of gene expression in the adipose tissue of genes associated with obesity, by computer simulation with different bioinformatics tools. Methods: After conducting a PubMed literature search, 37 genes associated with obesity with a fold change greater than 1.5 were selected. An interaction network was cons tructed using the Cytoscape 3.2 program from the calculation of z-score values obtained from DNA microarray experiments of adipose tissue samples collected from obese and control people. Detailed information on the genomic characteristics of these genes was extracted from the UCSC and NCBI Genome Browser databases. Using multivariate analysis tools, a principal component analysis and a cluster analysis were carried out. Results: The constructed network showed that the genes with the greatest number of interactions were: 1) the nuclear respiratory factor (NRF1), 2) the activated channel of potassium activate by calcium alpha 1 (KCNMA1), and 3) the fatty acid synthase (FASN). Those with the higher expression values were: 1) vascular endothelial growth factor A (VEGFA), 2) alpha-ketoglutarate-dependent dioxygenase (FTO), and 3) neuronal growth regulator 1 (NEGR1). The IL6, BDNF and HLC proteins had the highest interaction values with IL6R, NRF1 and ACACB, respectively. The most important ontological categories were related to lipoprotein metabolic processes, the tricarboxylic acid cycle, the activation of the MAP kinases, and the JNK cascade. Conclusions: As a whole, the results obtained from differential overexpression of genes associated with lipid metabolism in the adipose tissue of obese people could be a criterion to discriminate this pathology at a diagnostic level.

Resumo Objetivo: Analisar a complexidade da expressão gênica no tecido adiposo de genes associados com obesidade, por meio de simulação por computador com diferentes ferramentas bioinformáticas. Métodos: Após uma busca bibliográfica em PubMed, foram selecionados 37 genes associados com obesidade com fold change superior a 1,5. A partir do cálculo de valores dos z-score obtidos de experimentos de micro matrizes de ADN de amostras de tecido adiposo de pessoas obesas e de controle, construiu-se uma rede de interação com o programa Cytoscape 3.2. A informação detalhada sobre as características genômicas destes genes foi obtida das bases de dados Genome Browser da UCSC e do NCBI. Utilizando ferramentas de análise de multivariado, fez-se uma análise de componentes principais e um de agrupação. Resultados: A rede construída mostrou que os genes com maior número de interações foram: 1) o fator nuclear respiratório (NRF1), 2) o canal ativado de potássio ativado por cálcio alfa 1 (KCNMA1) e 3) ácido graxo sintase (FASN). Os que tiveram maiores valores de expressão foram: 1) o fator de crescimento endo-telial vascular A (VEGFA), 2) a dioxigenase dependente de alfa-cetoglutarato (FTO) e 3) o regulador de crescimento neuronal 1 (NEGR1). As proteínas IL6, BDNF e HLC tiveram os maiores valores de interação com IL6R, NRF1 e ACACB, respectivamente. As categorias ontológicas mais importantes se relacionaram com processos metabólicos de lipoproteínas, o ciclo dos ácidos tri carboxílicos, a ativação das MAP-quinases e a cascata JNK. Conclusões: Em seu conjunto, os resultados obtidos de superexpressão diferencial de genes associados com o metabolismo de lipídios no tecido adiposo de pessoas obesas poderia ser um critério para discriminar a nível de diagnóstico esta patologia.

Caracterización funcional y estructural de genes asociados a preeclampsia expresados en la placenta humana / Structural and functional characterization of genes associated with preeclampsia expressed in human placenta / Caracterização estrutural e funcional de genes associados à pré-eclâmpsia expressaram em humanos placenta

Introducción: La preeclampsia continúa siendo la primera causa de morbimortalidad perinatal. El conocimiento sobre su etiología molecular se ha incrementado en los últimos años debido al avance en la aplicación de las ciencias "ómicas". Ello ha llevado a identificar genes candidatos que participarían en su patogénesis. Objetivo: Identificar y caracterizar estructural y funcionalmente genes expresados en placenta que se asocian con preeclampsia. Métodos: A partir de una revisión de literatura de los últimos diez años, se identificaron 16 genes cuya expresión en placenta estaba asociada con la patología. Se realizó la minería de datos incluyendo las siguientes variables: número de genes, tamaño de los genes, número de exones codificantes, islas CpG y las familias de los diferentes elementos repetidos en una ventana de 100Kbp. Mediante un análisis bioinformático, usando los diferentes recursos del NCBI (www.ncbi.nlm.nih.gov) y del Genome Browser de UCSC (http://genome.ucsc.edu/). Adicionalmente se usó el portal BioGPS (http://biogps.gnf.org/#goto=welcome) se determinaron los niveles de expresión de cada gen por tejidos. Resultados: Se registraron diferencias en la cromatina que contiene las familias de elementos no codificantes de los genes asociados en comparación con los controles (Prueba de Kruskall-Wallis, P= 0.0341824). Los genes LEP, EBI3, PROCR, FSTL3, HEXB, INHBA y ENG fueron los que registraron el mayor puntaje z en placentas preeclámpsicas. Conclusión:La aplicación de las herramientas bioinformáticas se convierte en un instrumento potente para el análisis integrado de la expresión de genes y su papel en la patogénesis de la PE. Esto conllevaría a la identificación temprana de mujeres afectadas.

Introduction: Preeclampsia still is the main cause of perinatal morbi-mortality; due to the advance in the application of the omics sciences the knowledge about its molecular etiology has increased in the last years, this has led to the identification of candidate genes, which would be involved in its pathogenesis. Objective: To identify those genes, expressed in placenta that are associated with preeclampsia and compare their structural and functional characteristics. Methods: From a literature review, 16 genes were found, whose expression in placenta was associated to the pathology. Data mining was performed including the following genomic variables: number of genes, genomic size, coding exon count, CpG islands and repeat elements in a 100Kbp window. For the Bioinformatics analysis, we used different resources of the NCBI (www.ncbi.nlm.nih.gov) and the UCSC Genome Browser (http://genome.ucsc.edu/). Furthermore, the portal BioGPS (http://biogps.gnf.org/#goto=welcome) Was used to determine the expression levels of each gene per tissue. Results: Significant differences were found for the non-coding elements of the chromatin in that associated genes, in comparison with controls (Kruskall-Wallis test, P= 0.0341824). The genes LEP, EBI3, PROCR, FSTL3, HEXB, INHBA and ENG were the ones with the highest z- score values in preeclampsic placenta. Conclusion: The application of computational tools has become a powerful instrument for the integrated analysis of gene expression and its role in the pathogenesis of PE. This would lead to an early detection of affected women.

Introdução: A pré-eclâmpsia ainda é a principal causa perinatal Morbi-mortalidade; devido ao avanço na aplicação das ciências "ómicas" o conhecimento sobre sua etiologia molecular tem aumentado nos últimos anos, Isto levou à identificação de genes candidatos, que estariam envolvidos na sua Patogênese. Objetivo: Para identificar esses genes, Expresso em placenta que está associada à pré-eclâmpsia e comparar as suas características estruturais e funcionais. Métodos: A partir de uma revisão da literatura, foram encontrados 16 genes, cuja expressão na placenta foi asociada à patología. Extração de dados Foi realizada incluindo as seguintes variáveis genómicas: Número de genes, tamanho genômico, exon contagem de codificação, CpG ilhas e repetir elementos em uma janela de 100Kbp. Para a análise bioinformática, Utilizamos diferentes recursos do NCBI (www.ncbi.nlm.nih.gov) e do UCSC Genome Browser (http://genome.ucsc.edu/). Além disso, o portal BioGPS (http://biogps.gnf.org/#goto=welcome) foi utilizado para determinar os níveis de expressão de cada gene por tecido. Resultados: Se encontrou diferenças significativas para os elementos não codificantes da cromatina nos genes associados, Em comparação com os controlos (teste de Kruskall-Wallis, P = 0,0341824). Os genes LEP, EBI3, PROCR, FSTL3, HEXB, INHBA e ENG foram os que apresentaram os maiores valores de z-score na placenta pré-eclâmpsica. Conclusão: A aplicação de ferramentas computacionais tornou-se um poderoso instrumento para a análise integrada da expressão gênica e seu papel na patogênese da PE. Isso levaria a uma detecção precoce das mulheres afetadas.

Global differential expression of genes located in the Down Syndrome Critical Region in normal human brain / Expresión diferencial global de genes localizados en la Región Crítica del Síndrome de Down en el cerebro humano normal

Background: The information of gene expression obtained from databases, have made possible the extraction and analysis of data related with several molecular processes involving not only in brain homeostasis but its disruption in some neuropathologies; principally in Down syndrome and the Alzheimer disease. Objective: To correlate the levels of transcription of 19 genes located in the Down Syndrome Critical Region (DSCR) with their expression in several substructures of normal human brain. Methods: There were obtained expression profiles of 19 DSCR genes in 42 brain substructures, from gene expression values available at the database of the human brain of the Brain Atlas of the Allen Institute for Brain Sciences", (http://human.brain-map.org/). The co-expression patterns of DSCR genes in brain were calculated by using multivariate statistical methods. Results: Highest levels of gene expression were registered at caudate nucleus, nucleus accumbens and putamen among central areas of cerebral cortex. Increased expression levels of RCAN1 that encode by a protein involved in signal transduction process of the CNS were recorded for PCP4 that participates in the binding to calmodulin and TTC3; a protein that is associated with differentiation of neurons. That previously identified brain structures play a crucial role in the learning process, in different class of memory and in motor skills. Conclusion: The precise regulation of DSCR gene expression is crucial to maintain the brain homeostasis, especially in those areas with high levels of gene expression associated with a remarkable process of learning and cognition.

Introducción: La información de la expresión de genes consignada en bases de datos, ha permitido extraer y analizar información acerca procesos moleculares implicados tanto en la homeostasis cerebral y su alteración en algunas neuropatologías. Objetivos: Correlacionar los niveles de transcripción de 19 genes localizados en la región crítica del cromosoma 21, asociada a Síndrome de Down (DSCR), con la localización cerebral y su coexpresión en diferentes subestructuras del cerebro humano. Métodos: A partir de valores de expresión génica disponibles en la base de datos del proyecto cerebro humano del Atlas del Cerebro del "Allen Institute for Brain Sciences" (http://human.brain-map.org/), se construyeron perfiles de expresión de 19 genes DSCR en 42 subestructuras cerebrales. Además, utilizando métodos estadísticos multivariados se analizaron los patrones de coexpresión de genes DSCR en el cerebro normal. Resultados: En el núcleo caudado, el núcleo accumbens y el putamen además de las Áreas centrales 2, 3 y 4, se determinaron los valores de expresión más elevados para los genes incluidos RCAN1, que codifica para una proteína involucrada en el proceso de transducción de señales de SNC; PCP4 cuya proteína interviene en la unión a la calmodulina y TTC3 una proteína que interviene en la diferenciación de neuronas. Las subestructuras identificadas con una elevada expresión de estos genes, están asociadas con procesos de aprendizaje, en diferentes tipos de memoria y habilidades motoras. Conclusiones: La regulación de la expresión de los genes DSCR es clave para mantener la homeostasis cerebral, especialmente en aquellas áreas de mayor expresión, las cuales están asociadas con procesos sumamente importantes.

Estudio genómico de la región crítica del cromosoma 21 asociada con el síndrome de Down / Genomic study of the critical region of chromosome 21 associated to Down syndrome

Introduction: Previous reports have identified a region of chromosome 21 known as Down syndrome critical region (DSCR) in which the expression of some genes would modulate the main clinical characteristics of this pathology. In this sense, there is currently limited information on the architecture of the DSCR associated. Objective: To obtain in silico a detailed vision of the chromatin structure associated with the evaluation of genomic covariables contained in public data bases. Methods: Taking as reference the information consigned in the National Center for Biotechnology Information, the Genome Browser from the University of California at Santa Cruz and from the HapMap project, a chromosome walk along 21 Mb of the distal portion of chromosome 21q arm was performed. In this distal portion, the number of single nucleotide polymorphisms (SNP), number of CpG islands, repetitive elements, recombination frequencies, and topographical state of that chromatin were recorded. Results: The frequency of CpG islands and Ref genes increased in the more distal 1.2 Mb DSCR that contrast with those localized near to the centromere. The highest level of recombination calculated for women was registered in the 21q22.12 to 22.3 bands. DSCR 6 and 9 genes showed a high percentage of methylation in CpG islands in DNA from normal and trisomic fibroblasts. The DSCR2 gene exhibited high levels of open chromatin and also methylation in some lysine residues of the histone H3 as relevant characteristics. Conclusion: The existence of a genomic environment characterized by high values of recombination frequencies and CpG methylation in DSCR 6 and 9 and also DSCR2 genes led us to postulate that in non-disjunction detected in Down syndrome, complex genomic, epigenetic and environmental relationships regulate some processes of meiosis.

Introducción: Análisis previos han identificado una región del cromosoma 21, conocida como región crítica del síndrome de Down (DSCR) en donde se localizan algunos genes cuya expresión modularía las principales características clínicas de este síndrome. En este sentido, existe poca información detallada sobre la arquitectura de la cromatina asociada con la DSCR. Objetivo: Obtener in silico, a partir de la evaluación de covariables genómicas contenidas en bases de datos públicas, una visión detallada de la estructura cromatina asociada con la DSCR. Métodos: Tomando como referencia la información consignada en el National Center for Biotechnology Information, el Genome Browser de la Universidad de California en Santa Clara y el proyecto internacional HapMap, se efectuó un paseo cromosómico a lo largo de 21Mb de la porción distal del brazo q del cromosoma 21, para registrar el número de polimorfismos de nucleótido único, el de islas CpG, de secuencias repetidas, las tasas de recombinación y el estado topológico de la cromatina asociada. Resultados: La frecuencia de islas CpG y de genes referenciados se incrementó en los últimos 1,2 Mb de la región distal en contraste con su distribución pericentromérica. La mayor tasa de recombinación calculada en este estudio para mujeres se registró en las bandas 21q22.13 y 21q22.3. Los genes DSCR 6 y 9 presentaron un elevado grado de metilación en islas CpG tanto en fibroblastos normales como en trisómicos. En el gen DSCR2 se observó un alto grado de descondensación cromatínica, además de metilación de diferentes residuos de lisina de la histona H3. Conclusiones: La existencia de un ambiente genómico caracterizado por tener elevadas tasas de recombinación y de metilación de genes DSCR 6 y 9, permite postular que en la no disyunción asociada con el SD, operarían complejas interacciones genómicas, epigenéticas y ambientales que actuarían en algunos procesos meióticos.