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Your search keyword '"Unidad de Genética Ecológica y Mejoramiento Forestal"' showing total 5 results
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5 results on '"Unidad de Genética Ecológica y Mejoramiento Forestal"'

1. Permanent Genetic Resources added to Molecular Ecology Resources Database 1 October 2009–30 November 2009

Author

Gen-Bo Xu, Yi Kyung Kim, Zhen Xia Sha, N. Sreejayan, Maria Domenica Moccia, B. W. Hou, Fuwen Wei, Shaoying Liu, Mi Sook Min, Radosavljević Ivan, William Stewart Grant, Peter Kaňuch, Hai Hui Ye, Monika Pfunder, Stefan Woltmann, Antonis Rokas, Z. Y. Feng, Susanne Gustafsson, Benjamin N. Sacks, Hang Lee, M. L. Xie, Eun Ha Shin, Xiao Jun Xu, Kevin A. Feldheim, Scott A. Taylor, Zlatko Šatović, Maria Gaillard, Martin Lascoux, Christopher A. Saski, Ryan P. Walter, Vicki L. Friesen, Junghwa An, Shao Jing Li, Gudasalamani Ravikanth, Arnaud Béchet, William D. Templin, Juan A. Galaraza, Qingui Cai, Yi Wang, Zac Grauvogel, Åsa Berggren, Kyung Seok Kim, Sang Gyu Kim, James A. Morris-Pocock, Brian R. Kreiser, Sung Kyoung Choi, K. N. Ganeshaiah, Branka Javornik, X. Y. Ding, L. Han, Sofia Hemmilä, Julia Geraci, Daniel D. Heath, Leonardo A. Gallo, J. Zhong, Kyung i.Kl Kim, Frank Cézilly, Zhengxin Sun, Marcelle Moore, Maren A. Klich, Kumara P. Mohana, Yong Fan, F. Zhang, Zlatko Liber, Xiaolin Liao, Yong Jin Won, Athena Lam, Giovanni G. Vendramin, Alex Widmer, Xiangjiang Zhan, Sarah K. Brown, Han Chan Park, Yong Tao, Ramesh Vasudeva, Y. H. Ma, Yajun Ma, D. L. Li, Jing Wu, Kelly Lasater, George K. Roderick, Ke Jian Wang, Anna Cassel-Lundhagen, Carolina Soliani, J. Derek Hogan, Jernej Jakše, Yun Sun Lee, Ye Seul Kwan, Song-Lin Chen, Xin Hui Luo, Sean D. Schoville, Michael William Bruford, Jeffrey Robert Guyon, John G. Gibbons, Lin Lin, R. Uma Shaanker, Sang In Kim, Federico Sebastiani, W. Y. Li, Gui Zhong Wang, Rémi Wattier, Wei Cheng, Paula Marchelli, Woo-Jin Kim, BK21 program for Veterinary Science, Seoul National University [Seoul] (SNU), Centre de recherche de la Tour du Valat, Department of Ecology, Swedish University of Agricultural Sciences (SLU), Canid Diversity and Conservation Laboratory, University of California, Biodiversity and Ecological Processes Group, Cardiff University, Caopo Nature Reserves, Biogéosciences [UMR 6282] [Dijon] (BGS), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Key Laboratory for Sustainable Utilization of Marine Fisheries Resource, Ministry of Agriculture-Chinese Academy of Fishery Sciences, Alaska Department of Fish and Game, Jiangsu Provincal Key Laboratory for Biodiversity & Biotechnology, Nanjing Normal University (NNU), Department of Pathogen Biology and State Key Laboratory for Medical Immunology, Second Military Medical University, Pritzker Laboratory for Molecular Systematics and Evolution, The Field Museum, Department of Biology, Queen's University, Estación Biológica de Doñana (EBD), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Unidad de Genética Ecológica y Mejoramiento Forestal, INTA EEA Bariloche, School of Ecology and Conservation, University of Agricultural Sciences, Ashoka Trust for Research in Ecology and the Environment, Royal Enclave, Department of Forestry and Environmental Sciences, Department of Biological Sciences [Nashville], Vanderbilt University [Nashville], Program in Evolutionary Functional Genomics, Uppsala University, Auke Bay Laboratories (ABL), Alaska Fisheries Science Center (AFSC), NOAA National Marine Fisheries Service (NMFS), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA)-NOAA National Marine Fisheries Service (NMFS), National Oceanic and Atmospheric Administration (NOAA)-National Oceanic and Atmospheric Administration (NOAA), Great Lakes Institute for Environmental Research, University of Windsor [Ca], Centre for Plant Biotechnology and Breeding, University of Ljubljana, Biotechnology Research Division, National Fisheries Research and Development Institute, Conservation Genome Resource Bank for Korean Wildlife (CGRB), USDA, Agence Régionale de la Santé (ARS), Department of Biological Sciences, University of Southern Mississippi (USM), Division of EcoScience, EWHA Womans University (EWHA), Department of Environmental Science, Policy, and Management [Berkeley] (ESPM), University of California [Berkeley], University of California-University of California, Key Laboratory of Ministry of Education for Coastal and Wetland Ecosystems, Xiamen University, State Key Laboratory of Marine Environmental Science (MEL), Division of Botany [Zagreb], Department of Biology [Zagreb], Faculty of Science [Zagreb], University of Zagreb-University of Zagreb-Faculty of Science [Zagreb], University of Zagreb-University of Zagreb, Sichuan Academy of Forestry, College of Aqua-life Science and Technology, Shanghai Ocean University, Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), Institute of Integrative Biology (IBZ), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Department of Crop Physiology, Biological Sciences Department [Sacrameno], California State University [Sacramento], Ecogenics GmbH, Department of Population Health and Reproduction, Genomics Institute, Clemson University, Department of Seed Science and Technology [Zagreb], Faculty of Agriculture [Zagreb] (UNIZG), Laboratorio Genexpress, Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Department of Forest Biology and Tree Improvement, Instituto di Genetica Vegetale, Consiglio Nazionale delle Ricerche (CNR), Key Lab of Animal Ecology and Conservation Biology, Chinese Academy of Sciences [Beijing] (CAS), Department of Ecology and Evolutionary Biology, Tulane University, College of Marine Life Sciences [Qingdao], Ocean University of China (OUC), Seoul National University [Seoul], Swedish University of Agricultural Sciences, Biogéosciences [Dijon] ( BGS ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Nanjing Normal University, Estacion Biologica Doñana, Auke Bay Laboratories ( ABL ), Alaska Fisheries Science Center ( AFSC ), NOAA National Marine Fisheries Service ( NMFS ), National Oceanic and Atmospheric Administration ( NOAA ) -National Oceanic and Atmospheric Administration ( NOAA ) -NOAA National Marine Fisheries Service ( NMFS ), National Oceanic and Atmospheric Administration ( NOAA ) -National Oceanic and Atmospheric Administration ( NOAA ), University of Windsor, Conservation Genome Resource Bank for Korean Wildlife ( CGRB ), Agence Régionale de la Santé ( ARS ), University of Southern Mississippi, EWHA Womans University ( EWHA ), Department of Environmental Science, Policy and Management, State Key Laboratory of Marine Environmental Science, Department of Botany, University of Zagreb, Consejo Nacional de Investigaciones Científicas y Técnicas ( CONICET ), Eidgenössische Technische Hochschule [Zürich] ( ETH Zürich ), Department of Seed Science and Technology, Università degli Studi di Firenze [Firenze], Consiglio Nazionale delle Ricerche ( CNR ), Chinese Academy of Sciences [Beijing] ( CAS ), College of Marine Life Sciences, and Ocean University of China

Subjects
0106 biological sciences, Colias interior, computer.software_genre, 010603 evolutionary biology, 01 natural sciences, 03 medical and health sciences, food, Botany, Genetics, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, 0303 health sciences, [SDV.GEN]Life Sciences [q-bio]/Genetics, biology, Database, Salvia officinalis, biology.organism_classification, food.food, Dendrobium devonianum, Dendrobium loddigesii, Nothofagus obliqua, Sula nebouxii, Colias eurytheme, [ SDV.GEN ] Life Sciences [q-bio]/Genetics, Aspergillus clavatus, computer, Biotechnology
Abstract

5 pages; International audience; This article documents the addition of 411 microsatellite marker loci and 15 pairs of Single Nucleotide Polymorphism (SNP) sequencing primers to the Molecular Ecology Resources Database. Loci were developed for the following species: Acanthopagrus schlegeli, Anopheles lesteri, Aspergillus clavatus, Aspergillus flavus, Aspergillus fumigatus, Aspergillus oryzae, Aspergillus terreus, Branchiostoma japonicum, Branchiostoma belcheri, Colias behrii, Coryphopterus personatus, Cynogolssus semilaevis, Cynoglossus semilaevis, Dendrobium officinale, Dendrobium officinale, Dysoxylum malabaricum, Metrioptera roeselii, Myrmeciza exsul, Ochotona thibetana, Neosartorya fischeri, Nothofagus pumilio, Onychodactylus fischeri, Phoenicopterus roseus, Salvia officinalis L., Scylla paramamosain, Silene latifo, Sula sula, and Vulpes vulpes. These loci were cross-tested on the following species: Aspergillus giganteus, Colias pelidne, Colias interior, Colias meadii, Colias eurytheme, Coryphopterus lipernes, Coryphopterus glaucofrenum, Coryphopterus eidolon, Gnatholepis thompsoni, Elacatinus evelynae, Dendrobium loddigesii Dendrobium devonianum, Dysoxylum binectariferum, Nothofagus antarctica, Nothofagus dombeyii, Nothofagus nervosa, Nothofagus obliqua, Sula nebouxii, and Sula variegata. This article also documents the addition of 39 sequencing primer pairs and 15 allele specific primers or probes for Paralithodes camtschaticus.

Published
2010
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2. Characterization of 23 polymorphic SSR markers in Salix humboldtiana (Salicaceae) using next-generation sequencing and cross-amplification from related species.

Author

Bozzi JA, Liepelt S, Ohneiser S, Gallo LA, Marchelli P, Leyer I, Ziegenhagen B, and Mengel C

Abstract

Premise of the Study: We present a set of 23 polymorphic nuclear microsatellite loci, 18 of which are identified for the first time within the riparian species Salix humboldtiana (Salicaceae) using next-generation sequencing., Methods and Results: To characterize the 23 loci, up to 60 individuals were sampled and genotyped at each locus. The number of alleles ranged from two to eight, with an average of 4.43 alleles per locus. The effective number of alleles ranged from 1.15 to 3.09 per locus, and allelic richness ranged from 2.00 to 7.73 alleles per locus., Conclusions: The new marker set will be used for future studies of genetic diversity and differentiation as well as for unraveling spatial genetic structures in S. humboldtiana populations in northern Patagonia, Argentina.

Published
2015
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3. Development of genomic resources for Nothofagus species using next-generation sequencing data.

Author

El Mujtar VA, Gallo LA, Lang T, and Garnier-Géré P

Subjects
DNA, Chloroplast chemistry, DNA, Mitochondrial chemistry, DNA, Plant chemistry, Molecular Sequence Annotation, Tracheophyta classification, DNA, Chloroplast genetics, DNA, Mitochondrial genetics, DNA, Plant genetics, Genome, Plant, Genomics methods, High-Throughput Nucleotide Sequencing, Tracheophyta genetics
Abstract

Using next-generation sequencing, we developed the first whole-genome resources for two hybridizing Nothofagus species of the Patagonian forests that crucially lack genomic data, despite their ecological and industrial value. A de novo assembly strategy combining base quality control and optimization of the putative chloroplast gene map yielded ~32,000 contigs from 43% of the reads produced. With 12.5% of assembled reads, we covered ~96% of the chloroplast genome and ~70% of the mitochondrial gene content, providing functional and structural annotations for 112 and 52 genes, respectively. Functional annotation was possible on 15% of the contigs, with ~1750 potentially novel nuclear genes identified for Nothofagus species. We estimated that the new resources (13.41 Mb in total) included ~4000 gene regions representing ~6.5% of the expected genic partition of the genome, the remaining contigs potentially being nongenic DNA. A high-quality single nucleotide polymorphisms resource was developed by comparing various filtering methods, and preliminary results indicate a strong conservation of cpDNA genomes in contrast to numerous exclusive nuclear polymorphisms in both species. Finally, we characterized 2274 potential simple sequence repeat (SSR) loci, designed primers for 769 of them and validated nine of 29 loci in 42 individuals per species. Nothofagus obliqua had more alleles (4.89) on average than N. nervosa (2.89), 8 SSRs were efficient to discriminate species, and three were successfully transferred in three other Nothofagus species. These resources will greatly help for future inferences of demographic, adaptive and hybridizing events in Nothofagus species, and for conserving and managing natural populations., (© 2014 John Wiley & Sons Ltd.)

Published
2014
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4. High genetic variation in marginal fragmented populations at extreme climatic conditions of the Patagonian Cypress Austrocedrus chilensis.

Author

Arana MV, Gallo LA, Vendramin GG, Pastorino MJ, Sebastiani F, and Marchelli P

Subjects
Bayes Theorem, Climate, Cluster Analysis, Cupressus classification, DNA, Plant genetics, Evolution, Molecular, Gene Flow, Genetic Speciation, Geography, Models, Genetic, Phylogeny, Sequence Analysis, DNA, South America, Cupressus genetics, Genetic Variation, Genetics, Population, Microsatellite Repeats
Abstract

Knowledge about current patterns of genetic structure of populations together with the evolutionary history of a species helps to understand and predict the adaptation of populations to future climate change. We assayed variation at nuclear microsatellite markers among peripheral vs. continuous populations of the temperate South American species Austrocedrus chilensis, to investigate the role of historical vs. demographical forces in shaping population genetic structure. This species occurs in continuous populations in the west and central distribution range, but becomes highly fragmented at the eastern limit, which comprised ice-free areas during Quaternary glaciations and has extreme climatic conditions at present times. Bayesian analysis methods identified two contrasting patterns of genetic structure; (I) populations from humid, mesic and peri-glacial regions formed a single deme with relatively low genetic differentiation and high admixture levels whereas (II) a highly heterogeneous genetic structure with low level of admixture was found in the steppe, towards the east and northeast limit of the distribution range. In the steppe, population fragmentation, restricted gene flow and isolation-by-distance were also inferred. In addition, several small steppe populations showed high genetic diversity and divergent gene pools, suggesting that they constitute ancient refuges from pre-Holocene glaciations with just a subgroup of them contributing significantly to post-glacial spread. These results are discussed in relation to patterns of genetic variation found for other temperate species and the contribution of the particular southern Andes topography and climate to post-glacial spread., (Copyright 2009 Elsevier Inc. All rights reserved.)

Published
2010
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5. Knowing and doing: research leading to action in the conservation of forest genetic diversity of Patagonian temperate forests.

Author

Gallo LA, Marchelli P, Chauchard L, and Peñalba MG

Subjects
Argentina, Biodiversity, Conservation of Natural Resources, Genetic Variation, Research, Trees genetics
Abstract

Researchers dealing with conservation subjects usually do not put the results of their work into practice, even when the primary purpose of their research is the preservation of biodiversity. In the South American temperate forests we identified an area with the highest genetic diversity in Argentina of Nothofagus nervosa, one of the most relevant southern beech species. Based on the information of our scientific study and our recommendations, the authorities of Lanin National Park changed the protection status of this area to avoid logging. The new forestry management plans include consideration of "high genetic diversity" in decisions on where logging will be allowed. Results of our initial genetic study induced the analysis of biodiversity at the species and ecosystems levels, which yielded results similar to our genetic studies. A strong connection among researchers and managers from the onset of our study and the awareness of the former about the importance of the implementation of the research work were key to bridging the gap between conservation research and conservation practice.

Published
2009
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