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6 results on '"Program in Evolutionary Functional Genomics"'

1. The 'New Wave' in plant demographic inference: more loci and more individuals

Author

Rémy J. Petit, Martin Lascoux, Program in Evolutionary Functional Genomics, Uppsala University, Chinese Academy of Sciences (CAS), Biodiversité, Gènes & Communautés (BioGeCo), and Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB)

Subjects
0106 biological sciences, Gene Flow, STRUCTURE, DNA, Plant, Population, Inference, SNP, Biology, 010603 evolutionary biology, 01 natural sciences, Polymorphism, Single Nucleotide, Gene flow, Molecular ecology, 03 medical and health sciences, Gene Frequency, SAMPLING STRATEGY, Genetic variation, Genetics, Cluster Analysis, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, Allele, education, Genotyping, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, 0303 health sciences, education.field_of_study, Models, Genetic, Ecology, Genetic Variation, Bayes Theorem, Sequence Analysis, DNA, Genetics, Population, Populus, Evolutionary biology, FOREST TREE, Genetic structure, INSTRUCT, North America, GENETIQUE DES POPULATIONS, LAMARC
Abstract

International audience; Plant population genetic surveys are starting to take full advantage of technological advances in genotyping methods and of methodological advances in demographic inference. In this issue of Molecular Ecology, Keller et al. (2010) illustrate this trend with a particularly convincing study of rangewide genetic variation in a North American poplar, using both SNP and sequence data. They first investigate population genetic structure by estimating the most likely number of genetic clusters using a more formal approach than most other studies to date. They proceed by estimating gene flow among the inferred populations and by testing predictions on the distribution of low frequency alleles derived from recent work on range expansions.

Published
2010
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2. 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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3. Direction and extent of organelle DNA introgression between two spruce species in the Qinghai-Tibetan Plateau.

Author

Du FK, Peng XL, Liu JQ, Lascoux M, Hu FS, and Petit RJ

Subjects
Biomass, Genetic Variation, Geography, Introduced Species, Models, Genetic, Population Density, Seeds genetics, Sympatry, Tibet, DNA, Chloroplast genetics, DNA, Mitochondrial genetics, Ecosystem, Inbreeding, Picea genetics
Abstract

A recent model has shown that, during range expansion of one species in a territory already occupied by a related species, introgression should take place preferentially from the resident species towards the invading species and genome components experiencing low rates of gene flow should introgress more readily than those experiencing high rates of gene flow. Here, we use molecular markers from two organelle genomes with contrasted rates of gene flow to test these predictions by examining genetic exchanges between two morphologically distinct spruce Picea species growing in the Qinghai-Tibetan Plateau. The haplotypes from both mitochondrial (mt) DNA and chloroplast (cp) DNA cluster into two distinct lineages that differentiate allopatric populations of the two species. By contrast, in sympatry, the species share the same haplotypes, suggesting interspecific genetic exchanges. As predicted by the neutral model, all sympatric populations of the expanding species had received their maternally inherited mtDNA from the resident species, whereas for paternally inherited cpDNA introgression is more limited and not strictly unidirectional. Our results underscore cryptic introgressions of organelle DNAs in plants and the importance of considering rates of gene flow and range shifts to predict direction and extent of interspecific genetic exchanges., (© 2011 The Authors. New Phytologist © 2011 New Phytologist Trust.)

Published
2011
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4. Does the core circadian clock in the moss Physcomitrella patens (Bryophyta) comprise a single loop?

Author

Holm K, Källman T, Gyllenstrand N, Hedman H, and Lagercrantz U

Subjects
Arabidopsis genetics, Arabidopsis metabolism, Bryopsida metabolism, CLOCK Proteins metabolism, Comparative Genomic Hybridization, Gene Expression Profiling, Gene Expression Regulation, Plant, Gene Regulatory Networks, Genes, Plant, Photoperiod, Phylogeny, Plant Proteins genetics, Plant Proteins metabolism, RNA, Plant genetics, Reverse Transcriptase Polymerase Chain Reaction, Sequence Analysis, DNA, Bryopsida genetics, CLOCK Proteins genetics, Circadian Rhythm genetics
Abstract

Background: The endogenous circadian clock allows the organism to synchronize processes both to daily and seasonal changes. In plants, many metabolic processes such as photosynthesis, as well as photoperiodic responses, are under the control of a circadian clock. Comparative studies with the moss Physcomitrella patens provide the opportunity to study many aspects of land plant evolution. Here we present a comparative overview of clock-associated components and the circadian network in the moss P. patens., Results: The moss P. patens has a set of conserved circadian core components that share genetic relationship and gene expression patterns with clock genes of vascular plants. These genes include Myb-like transcription factors PpCCA1a and PpCCA1b, pseudo-response regulators PpPRR1-4, and regulatory elements PpELF3, PpLUX and possibly PpELF4. However, the moss lacks homologs of AtTOC1, AtGI and the AtZTL-family of genes, which can be found in all vascular plants studied here. These three genes constitute essential components of two of the three integrated feed-back loops in the current model of the Arabidopsis circadian clock mechanism. Consequently, our results suggest instead a single loop circadian clock in the moss. Possibly as a result of this, temperature compensation of core clock gene expression appears to be decreased in P. patens., Conclusions: This study is the first comparative overview of the circadian clock mechanism in a basal land plant, the moss P. patens. Our results indicate that the moss clock mechanism may represent an ancestral state in contrast to the more complex and partly duplicated structure of subsequent land plants. These findings may provide insights into the understanding of the evolution of circadian network topology.

Published
2010
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5. The 'New Wave' in plant demographic inference: more loci and more individuals.

Author

Lascoux M and Petit RJ

Subjects
Bayes Theorem, Cluster Analysis, DNA, Plant genetics, Gene Frequency, Genetic Variation, Models, Genetic, North America, Polymorphism, Single Nucleotide, Sequence Analysis, DNA, Gene Flow, Genetics, Population, Populus genetics
Abstract

Plant population genetic surveys are starting to take full advantage of technological advances in genotyping methods and of methodological advances in demographic inference. In this issue of Molecular Ecology, Keller et al. (2010) illustrate this trend with a particularly convincing study of rangewide genetic variation in a North American poplar, using both SNP and sequence data. They first investigate population genetic structure by estimating the most likely number of genetic clusters using a more formal approach than most other studies to date. They proceed by estimating gene flow among the inferred populations and by testing predictions on the distribution of low frequency alleles derived from recent work on range expansions.

Published
2010
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6. New insights on the speciation history and nucleotide diversity of three boreal spruce species and a Tertiary relict.

Author

Chen J, Källman T, Gyllenstrand N, and Lascoux M

Subjects
Asia, DNA, Plant chemistry, Europe, Geography, Models, Genetic, North America, Phylogeny, Picea classification, Picea growth & development, Polymorphism, Genetic, Population Density, Sequence Analysis, DNA, Time Factors, DNA, Plant genetics, Genetic Speciation, Genetic Variation, Picea genetics
Abstract

In all, 10 nuclear loci were re-sequenced in four spruce species. Three of the species are boreal species with very large natural ranges: Picea mariana and P. glauca are North American, and P. abies, is Eurasian. The fourth species, P. breweriana, is a Tertiary relict from Northern California, with a very small natural range. Although the boreal species population sizes have fluctuated through the Ice Ages, P. breweriana is believed to have had a rather stable population size through the Quaternary. Indeed, the average Tajima's D was close to zero in this species and negative in the three boreal ones. Reflecting differences in current population sizes, nucleotide diversity was an order of magnitude lower in P. breweriana than in the boreal species. This is in contrast to the similar and high levels of heterozygosity observed in previous studies at allozyme loci across species. As the species have very different histories and effective population sizes, selection at allozyme loci rather than demography appears to be a better explanation for this discrepancy. Parameters of Isolation-with-Migration (IM) models were also estimated for pairs of species. Shared polymorphisms were extensive and fixed polymorphisms few. Divergence times were much shorter than those previously reported. There was also evidence of historical gene flow between P. abies and P. glauca. The latter was more closely related to P. abies than to its sympatric relative P. mariana. This last result suggests that North American and Eurasian species might have been geographically much closer in the recent past than they are today.

Published
2010
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