Excerpts of the Minutes of the ANR-BIOADAPT FLAG Kickoff meeting

Size: px
Start display at page:

Download "Excerpts of the Minutes of the ANR-BIOADAPT FLAG Kickoff meeting"

Transcription

1 Excerpts of the Minutes of the ANR-BIOADAPT FLAG Kickoff meeting Avignon, France, January 2013

2 Table of contents Excerpts of the... 1 Minutes of the ANR-BIOADAPT FLAG Kickoff meeting... 1 Schedule for joint FLAG/TipTree meeting in Avignon... 3 Project and partner presentations... 5 Technical workshops... 5 Genotyping workshop... 6 Phenotyping workshop... 7 Modelling workshop... 8 Executive meeting Sampling strategy Measurements of environmental variables RTEs Paper writing workshop Paper Paper Paper

3 Schedule for joint FLAG/TipTree meeting in Avignon The FLAG Kick-off meeting has been held jointly with the TIPTREE Kick-off meeting. Tuesday 15/01 (Plenary, URFM room Belvedère) 9h30 Ivan Scotti : Presentation of FLAG project (INRA-KOUROU) 10h00 Sylvie Oddou-Muratorio : Presentation of TipTree project (INRA- AVIGNON) 10h30 Ophélie Ronce: EVORANGE project : aims and main results (ISEM) 11h15: break 11h45 Santiago González-Martínez: Results of the LINKTREE project- Ecology meets genetics (INIA-CIFOR) 12h30 Bart Muys: Presentation of EFIMED and experience with forest management scenarios and stakeholder involvement (EFIMED) 13h00: lunch 14h00 Jean-François Dhôte : Climate change and research needs for public forest management (ONF) 14h30 Frank Schurr: Data-driven models of eco-evolutionary dynamics in forest trees (ISEM) 15h00 Hendrik Davi : Local adaptation to climatic gradients: application of a Physio-Demo-Genetics simulation model to European Beech populations (INRA- AVIGNON) 15h30 Myriam Heuertz : The scale of genetic structure and adaptation in a widespread tropical tree, Symphonia globulifera (INIA-CIFOR) 16h00 Rosane Collevatti: Geographical Patterns in Neutral, Quantitative and Adaptative Genetic Variation in Cerrado Tree Species (Universidade de Goiás) 16h30: break+ photo 17h00 Ivan Scotti : Molecular and quantitative genetics of local adaptation in tropical trees 17h30 Delphine Grivet, Giovanni Vendramin: Adaptive variation, environmental gradients and demography in Pinus pinaster and Pinus halepensis (INIA-CIFOR & CNR-FIRENZE) 18h00 Arndt Hampe: PERSisting at the LIMit: Genetic structure, hybridization and performance of Quercus robur at the species southwestern range margin Wednesday 16/01 Morning - plenary, URFM room Belvédère 9h00 Sascha Liepelt, Bruno Fady, Giovanni Vendramin: Genetic variation in candidate genes of Abies alba along ecological gradients (UNI-MAR, CNR- FIRENZE, INRA-AVIGNON) 9h30 Thomas Källman: Genetic and phenotypic diversity in experimental populations of Picea abies from Sweden (UNI-UPSALLA)

4 10h00 Lars Opgenoorth, Giovanni Vendramin : Description of experimental plots, sampling design and selection of candidate genes in Picea abies in Germany and Italy (UNI-MAR, CNR-FIRENZE) 10h15 François Lefèvre: Considering evolutionary processes in adaptive forestry (INRA-AVIGNON) 10h45: break 11h15 Hadrien Lalagüe : Looking for signature of adaptation over short-scale spatial climatic gradient: an experimental genomic and simulation approach in Fagus sylvatica (INRA-AVIGNON) 11h40 Sylvie Oddou-Muratorio: Adaptive potential of a drought-prone Fagus sylvatica population 12h00: Introduction of the technical workshop 13h00: lunch Wednesday 16/01 14h00-16H00: Technical workshops (Small groups) 1) Genotyping and sequencing activities (Room Belvédère)- Moderators: Ivan Scotti, Bruno Fady 2) Functional traits (Room Ventoux)- Moderator: Hendrik Davi 3) Modeling activities (Room PSH)- Moderators: Frank Schurr, Sylvie Oddou- Muratorio 16h00: break 16h30-18h00 Side meetings Harmonization of experimental activities within species Abies alba: UNI-MAR, CNR-FIRENZE, INRA-AVIGNON Picea abies: UNI-UPSALLA, UNI-MAR, CNR-FIRENZE Pinus sp: INIA-MADRID, CNR-FIRENZE, INRA-AVIGNON Tropical species: INRA-KOUROU, Universidade de Goiás, INIA-MADRID Other topics (ongoing ANR projects..) 20h00: dinner at Le Petit Louvre Thursday 17/01 -Plenary, room Belvédère 9h00 Synthesis of the technical workshops (one representative of each workshop) 10h00: Integrative workshops to connect the different experimental, modeling and stakeholder activities (1) Harmonization of experimental activities AMONG species (Moderators :Beppe Vendramin, François Lefèvre) 11h00: break

5 (2) Connections between experimental results/issues and modeling approaches (Moderators: Santiago González-Martínez, Ophélie Ronce) (3) Stakeholder engagement and connection between biological models and scenarios of adaptive sylviculture (Moderators : Bart Muys, Bruno Fady). 13h00: lunch 14h00 FLAG: executive meeting (1) decisions to be taken (2) timing of the task 15h00 Tiptree: executive meeting (1) decisions to be taken (2) timing of the task 16h00: break 16h30-18h00 Side meetings Friday 17/01 9h00 - plenary, room Belvédère Writing workshops * List of possible topics for common papers to be produced during FLAG/tipTree projects 1- Synthesis papers Concept paper on local adaptation Variation of selection gradient on functional traits from juvenile to adult stage Synthesis on heritability, genetic and environmental correlations for functional traits 2- Research papers Efficiency of genotyping/sequencing approaches (RADseq?) Respective importance of directional vs stabilising selection in tree populations 13h00: lunch, and of the meeting Project and partner presentations Nineteen talks have been given, with the aim of showing the aspects of each partner s research that converge upon FLAG objectives. Project and partner presentations have been merged into a zip file (Presentations_KOM-Avignon-2013.zip) and distributed by Bruno Fady (see his message of January 21). The file is however no longer on the website but is available from Ivan Scotti upon request. Technical workshops Three technical workshops have been held to discuss methodological choices to be made in the project ( beyond the general project plan, which is not modified):

6 genotyping, phenotyping and modelling. The participants to each workshop have focussed on the need to establish common methods for genotyping and modelling and a set of common phenotypic traits to apply to all species. Genotyping workshop Three main topics are addressed: (a) best strategy to apply next-generation genotyping; (b) how to make use of available genomic resources (c) how to efficiently make the link between tasks 2,4 (detection of selection) and task 5 (association mapping). (a) The strategy chosen for Task 1 (genotyping in natural populations for the detection of loci under disruptive selection) is to genotype in pools. The alternative option use of individual samples is discussed, because of potential problems with unequal representation of individuals within pools (unequal representation of pools in a run is less of a problem here because we do not crosscompare pools). Allelic frequency differences among populations (rangewide, landscape-scale gradients and cohorts). Thus we need allelic data from individual genotypes (but info on frequency needed at population level). Thus we could generate data with pooled individuals (but problem with statistical power? Problem with accessing reliable frequency data, yes, but good data has been provided in the literature from pools of 10 individuals with AFLP). Anonymous strategy is fine, but we could also go candidate gene approach. In case no signature of disruptive selection is detected locally (i.e. in samepopulation subdivision tests), a fall back proposal is made: to sample ecotypically different, geographically distant populations (this will require independent analyses to take into account demographic history of populations). Moreover, it is recalled that adaptive traits are mostly multilocus, so use of available methods that test differentiation at several loci together is recommended. It is equally important not to drop good candidate genes (known to have a function in the response to the targeted ecological gradients) that may show weak signatures of selection. (b) For several species, it is possible to rely on existing resources (from LinkTree etc.) and develop more markers in addition to what will be generated from the FLAG Rad-seq. The partners are welcome to make use of available genomic resources for all Tasks whenever they feel it useful for answering the Project s questions, and they can use their own budget for this action, provided that this does not prevent them from realising the project globally. It is however stressed that the added value of multiple species is generalization of conclusions on adaptation (nb and proportion of loci under selection, type of genes under selection, type of optimum phenotypes under varying environmental constraints, etc). Such cross-species and cross-environment comparisons are only feasible if all species are treated equally.

7 (c) The project s original rationale is to first identify loci under divergent selection (task 3) and then test whether these loci are associated to functional traits (Task 5). However, given that for some species genomic resources are available (see (b)), there might be no need to temporally and conceptually strictly link tasks 3 and 5. Tasks 2-3 should be carried out for all species (see (b)), but task 5 can be carried out independently. [...] Phenotyping workshop [ ] Main conclusions of the workshop [C1] We have to distinguish traits that are expected to be directly related to fitness (e.g. radial growth, survival, seed production; the so-called performance traits ) from traits under selection in a given environment (e.g. resistance to drought, cavitation, phenology of budburst, etc; functional traits ). Performance traits have to be measured over all sites and all species if possible, whereas the functional traits to measure may be specific of the environmental gradient and of the species. [C2] Making a lot of measurements can be time consuming. Consequently, perhaps relative values of traits, not absolute quantitative value (for instance not an exact account of cones number) can be sufficient. [C3] Some traits are easier to measure that others: The performance traits for seedlings are easy to measure: survival and height growth. Performance traits for adults are more complicate to measure, as mortality rate and tree fertility are often related to diameter and past growth, a measure of age, past tree ring increment and diameter is the minimum. The estimation of fertility is obviously also useful but due to masting behavior, we need several years of measurements or use a proxy of average fertility (scares of cones on branches for instance). Two performance traits currently lack in our measurements: the seed mass and seed quality that clearly control the rate of germination. It is easy to measure and we have to add it. An important functional trait is phenology, which can be measured on adults and on seedlings. When drought drives the environmental gradient, leaf traits have to be measured on adults, but on seedlings we have to add roots investment estimation that requires destructive measurements. We can also collect branches on adults and send them to wood platform in Biogeco to assess cavitation vulnerability using CAVITRON (see with Biogeco). Finally, the impact of climate variations on trees can be assessed through tree ring increment and measurement on mean sensitivity to climate.

8 Some guidelines for measurement in the field: Collect as much environmental data as possible, at plot and individual level, those data that make sense for the traits that are under consideration. Include measures of the environment: climate, but also competition (i.e. density). Identify environmental gradients that actually have an effect on the selection gradient. Keep in mind that added value of multiple species is generalization of conclusions on adaptation (nb and proportion of loci under selection, type of genes under selection, type of optimum phenotypes under varying environmental constraints, etc). In the wet tropics, there might be difficulty in finding adaptation to drought. Perhaps it is adaptation to water-logging that should be targeted. Keep in mind that measured traits may be under selection in a different way depending on age. There may be different genetic correlations between traits depending on age. Trees at different ages may not be in the same environment (/ not have the same niche) although they are in the same place. Three proposals: The first one is to collect phenotypic data already available in worldwide TRY database to assess the variations of these traits between populations and across environmental gradient. The second proposal is quite challenging. It consists in creating a common seed bank of TipTree and FLAG projects. The seeds can be collected this summer, common measurements of seed mass and seeds quality can be achieved and then a common garden can be planted. One ancillary possibility is to take a sample of this material to assess impact of stresses. Some facilities can be provided from ANAES services French projects. [ ] We envisaged three altitudes, 10 mothers per altitude 30 seedlings per seed tree. For fitness proxy, it is not the solution. Association in situ or cross transplantation will be more useful. The third proposal can be a common collect of cores for tree ring increment and branches for cavitation on adults of several sites. Two things, we have no discussed about, what about the saplings and what about the link that can be made between adults and seedlings. Common garden under greenhouse is maybe the only way to avoid the impact of the change of light environment between seedlings and adults and between seedlings in different situations. What about herbivory? Modelling workshop [C1] A rapid overview of the state of the art regarding the species included in TipTree project (Table 1). Those six species correspond to large number of different study cases from a modeling perspective, even if the targeted

9 scenario (the most interesting to investigate) is common for most of them and relate to persistence under CC (ie demographic collapse) [C2] [ ] [C3] Moreover, an important issue is to what extend the models developed should be species-specific (aiming at providing realistic scenario for the evolutionary dynamics under CC). Alternatively, general model could be developed (two last lines in Table1), with the objective of providing a better understanding of adaptation in age-structure populations. [C4] The way experimental data (in particular genomic data) can be incorporated into models need to be refined (see discussion below on genetic architecture). [C5] Note that a major outcome of the modeling activities is to assist the choice of the functional traits critical for the targeted scenario. However, it poses organizational challenges (timing of the WP)

10 Table 1 : For each species included in TipTree project, modeling tools available of under developments, targeted scenario to be studied Species Model available * Scenario Region/Scale Data within TipTree Fagus sylvatica CASTANEA, PDG, PHENOFIT Persistence under increasing temperature Mont Ventoux demography and drought Abies alba CASTANEA, (PDG) Persistence under increasing temperature and drought Pinus halepensis Quercus robur Picea abies Eperua falcata General strategic model General strategic model CASTANEA, PHENOFIT (will be done by Isabelle Chuine) General model for evolution of serotiny (Tonnabel et al J.Ecol) NOTG (for carbon stocks) CASTANEA, PHENOFIT CASTANEA will be parameterized by Hendrik Persistence under increasing fire frequency Persistence under increasing drought Phenological responses to climate change, Demographic Persistence under increased drought and increased flooding Persistence and expansion under climate change Phenological responses to climate change Mont Ventoux & 2 other gradients W part of range (Italy, France, Spain) Extremadura Entire European range Guyana demography, seed dispersal, lots of quantitative genetics General discussion Genetic architecture of the traits is expected to make big differences in evolutionary dynamics under CC (in particular for the evolution of genetic variances) ; see Gomulkiewicz, R., Holt, R.D., Barfield, M., & Nuismer, S.L. (2009) Genetics, adaptation, and invasion in harsh environments. Evolutionary Applications, 3,

11 Include environmental models where variation is not clinal, but patchy (e.g. in Medit. species) and population models with low effective population size (e.g. above (= low drift effect) and below 100). Silvicultural scenarios need to account f or landscape changes, including land use changes (importance in Tropics). Link with other projects which deal with forest management. Project MOTIVE includes a database of climate scenarios. Couple models from Linktree with those in MOTIVE that output ecosystem services (and decision support). Include uncertainty in scenarios and communication of decision support (not really the case in MOTIVE) How can the no regret options be defined? No regret options might mean scenarios where outcomes are acceptable for society (including forest managers). Use scenarios that can be used for education of forest managers and policy makers. Include social considerations in scenarios (as social representations of forests are usually the first impediment to change). Natural regeneration is the cheapest and easily done option for forest management (in France). Include specific ecosystem services (that may differ regionally) in the scenarios. Climate change is often not believed to be happening by numerous foresters. Executive meeting Sampling strategy. For Tasks 2-3, sampling strategy will consist of two gradients wherever possible, with two extreme sub-populations sampled in each. Twentyfive individuals, as unrelated as possible, should be collected. A spatially structured sampling scheme, with a Vitruvian man shape, is suggested by Myriam Heuertz. This sampling scheme allows both efficiently sampling population diversity and efficiently studying Spatial Genetic Structure (see figure 1). To grant that all distance classes are covered, while under the constraint of a sample size of 25 trees, it is suggested that trees are mostly sampled in the body, arms and legs of the plot, plus few scattered trees on the outer circle.

12 Figure 1. Leonardo da Vinci s Vitruvian man and Myriam s sampling scheme [...] It is suggested to make more at least two libraries with different enzymes for increasing alignment potentials (this needs to be checked). It is also stressed that, since loci under selection identified by RAD are to be used to design SNP genotyping experiments in task 5, there must be sufficient sequence length on both sides of each SNP to accommodate primer design; therefore, attention will have be paid to the average length of sequenced RAD tags. Measurements of environmental variables: at least crude characterisation of soil texture and depth as well as topography (see this with the experts); Measurements at the individual level: competition index, wood cores, soil samples, vegetation cover in 1 sq m plots, slope, orientation of slope, diameter and height, health and ontogeny index (adventitious roots and pneumatophores for Symphonia). [...] RTEs: Should we use half-sib families or unrelated seedlings? Unrelated seedlings are comparatively superior for association mapping; however, in many cases RTEs have already been established and will be used as-is. [...]

13 Paper writing workshop Three papers are considered as useful/central for the project, and will be planned for writing in year Paper 1 Micro-environmental adaptation: there is room for a paper on this, different from the classical local adaptation papers. Also look at the temporal aspect (seedling banks, seed banks) as a way to escape bad conditions. Overlapping generations: little work on it, except in CAPSIS. Overlapping generations slow down drift (simulations made by Myriam with Olivier Hardy). Nevertheless, overlapping generations seem to have little effect on Ne. Make the scope very clear. Associate this to a review on within-population and between-populations distribution of diversity for both markers and traits, as a function of life-history traits or other traits. The question would be why there is so much variation if it is maintained by selection, this is a thing to look at. Correlation between the diversity of environment a population lives on and the genetic diversity of traits. Description of plots with environmental and phenotypic variation. Santi, Myriam, Ivan and Sylvie set the general topics. Postdoc 1 (see Executive meeting) will take this in charge. Then there will be a writing workshop to wrap it up. A collection of relevant literature will be gathered and distributed among partners. The reference list will be posted on the project s website ( Paper 2 Meta-analysis of local adaptation: there is room for a meta-analysis paper on patterns of altitudinal variation and genetic diversity in plants. Rosane, Bruno and Katy take care of this. Paper 3 Variation of selection gradients and response to selection across ontogenetic stages: General topic : There is a room for a synthesis paper dealing with the variation in selection patterns acting at different life-stage of long-life species. It is important to consider both the variation of selection gradient together with the variation of quantitative genetic parameters shaping response to selection. It is also important to consider that both environment and ontogenic stages vary between adult and seedlings stage. So the broad topic of this synthesis paper could be Synthesis on heritability, genetic and environmental correlations for functional traits across life-stage

14 Remark: how far this issue may be connected to the niche theory: is there different niche between niche at adult stage and juvenile stage Contents : The synthesis should include results of breeding program and what they can learn: how a trait at early stage relates to trait at adult stage responsiveness to selection; evolvability. Note that literature biased in favor of species with little age difference at juvenile and adult stage (fast-growing tree). There is a magic figure in the literature: correlation >0.8 for trees after 12 years old. Consider the problem of maternal effects. Inbreeding issue: Francois, Sylvie, Hendrik, set the general topics. Katy Csillery (TipTree Post-doc a URFM) will take this in charge. Need/opportunity to associate colleagues working with fishes.

The people The forests

The people The forests Scenarios for forest biodiversity dynamics under global change in Europe: Iden:fying micro evolu:onary scale :pping points TipTree Consor&um of 11 partners from : France (5): INRA URFM, ISEM Montpellier

More information

Linking genetic variability with ecological responses to environmental changes: forest trees as model systems (LinkTree) BiodivERsA ERANET

Linking genetic variability with ecological responses to environmental changes: forest trees as model systems (LinkTree) BiodivERsA ERANET Linking genetic variability with ecological responses to environmental changes: forest trees as model systems (LinkTree) BiodivERsA ERANET Consortium of seven partners from Spain (CIFOR-INIA & CIDE-CSIC),

More information

Response of forest tree populations to Climate Change (CC) Adaptation, plasticity, range shifts

Response of forest tree populations to Climate Change (CC) Adaptation, plasticity, range shifts OUTLINE Response of forest tree populations to Climate Change (CC) Adaptation, plasticity, range shifts Introduction: expected effects of Climate Change (CC) on forest tree populations 1. Mechanisms of

More information

Climate change and forest genetic resources (FGR): state of knowledge, risks and opportunities

Climate change and forest genetic resources (FGR): state of knowledge, risks and opportunities Climate change and forest genetic resources (FGR): state of knowledge, risks and opportunities Bruno Fady INRA URFM, Ecologie des Forêts Méditerranéennes, Avignon Judy Loo, Ian Dawson, Barbara Vinceti

More information

Using CAPSIS to assess the genetic impacts of sylviculture

Using CAPSIS to assess the genetic impacts of sylviculture Using CAPSIS to assess the genetic impacts of sylviculture R&D project funded by RMT AFORCE & CG Vaucluse 2017-2018 INRA (Avignon, Montpellier, Orléans) ONF (RD&I, 84) CNPF-IDF PNR Luberon & CG84 SF-CDC

More information

CNR, Florence, Italy. INRA, Avignon, France. CIFOR-INIA,Madrid, Spain.

CNR, Florence, Italy. INRA, Avignon, France. CIFOR-INIA,Madrid, Spain. Detecting selection from candidate gene data in natural populations: an example of F. sylvatica abiotic stress and phenology genes from an altitudinal gradient Hadrien Lalagüe 1,2, Katalin Csillery 2,

More information

Mediterranean forests under climate change

Mediterranean forests under climate change Mediterranean forests under climate change François LEFEVRE francois.lefevre.2@inra.fr EFIMED Young Leadership Programme on Forest-based Bioeconomy November 2018, Barcelona INRA URFM Mont Ventoux (France)

More information

Research Networking Programmes

Research Networking Programmes Research Networking Programmes Short Visit Grant or Exchange Visit Grant (please tick the relevant box) Scientific Report Scientific report (one single document in WORD or PDF file) should be submitted

More information

Enhancing and speeding up natural evolutionary processes through management: assisted migration; the role of breeding

Enhancing and speeding up natural evolutionary processes through management: assisted migration; the role of breeding Enhancing and speeding up natural evolutionary processes through management: assisted migration; the role of breeding François LEFEVRE INRA, Avignon (France) URFM, Ecology of the Mediterranean Forests

More information

Genetic Implications of Forest Management in the Mediterranean

Genetic Implications of Forest Management in the Mediterranean Genetic Implications of Forest Management in the Mediterranean Aristotelis C. Papageorgiou Department of Forestry, Environment and Natural Resources, Democritus University of Thrace, Greece Solsona 2004

More information

Working Group 2 Report on Scientific results, Products, Dissemination activities and Future perspectives

Working Group 2 Report on Scientific results, Products, Dissemination activities and Future perspectives Final meeting of Cost Action FP1202 MaP-FGR and conference on forests Arezzo, Italy, 26-29 September 2016 Working Group 2 Report on Scientific results, Products, Dissemination activities and Future perspectives

More information

PDG Documentation, version 3 Sylvie Muratorio, September 2017

PDG Documentation, version 3 Sylvie Muratorio, September 2017 PDG Documentation, version 3 Sylvie Muratorio, September 2017 Contents 1) PDG general purpose and main originalities... 2 1.1. General purpose... 2 1.2. Modeling plastic and genetic variation of life-history

More information

Marginal and peripheral forests: a key genetic resource for enhancing the resilience of European forests to global change

Marginal and peripheral forests: a key genetic resource for enhancing the resilience of European forests to global change FPS COST Action FP1202 Policy Brief Marginal and peripheral forests: a key genetic resource for enhancing the resilience of European forests to global change Global environmental change, and particularly

More information

Mechanisms of succession and regeneration

Mechanisms of succession and regeneration Mechanisms of succession and regeneration Outline: Mechanisms of succession and vegetation dynamics. Synthetic concepts and simple models of forest dynamics Overview of the modern conceptual framework

More information

Bruno Fady INRA URFM, Avignon, France. Evoltree SEA workshop Sopron, Hungary, May 2009

Bruno Fady INRA URFM, Avignon, France. Evoltree SEA workshop Sopron, Hungary, May 2009 The The trailing trailing edge: edge: genetic genetic implications implications Bruno Fady INRA URFM, Avignon, France Evoltree SEA workshop Sopron, Hungary, 11-14 May 2009 The trailing edge: genetic implications

More information

Overview of using molecular markers to detect selection

Overview of using molecular markers to detect selection Overview of using molecular markers to detect selection Bruce Walsh lecture notes Uppsala EQG 2012 course version 5 Feb 2012 Detailed reading: WL Chapters 8, 9 Detecting selection Bottom line: looking

More information

ION BARBU Research Station for Norway spruce silviculture Câmpulung Moldovenesc CATALINA BARBU University Stefan cel Mare Suceava Faculty of Forestry

ION BARBU Research Station for Norway spruce silviculture Câmpulung Moldovenesc CATALINA BARBU University Stefan cel Mare Suceava Faculty of Forestry ION BARBU Research Station for Norway spruce silviculture Câmpulung Moldovenesc CATALINA BARBU University Stefan cel Mare Suceava Faculty of Forestry INTRODUCTION The research focuses on the relations

More information

POPULATION GENETICS Winter 2005 Lecture 18 Quantitative genetics and QTL mapping

POPULATION GENETICS Winter 2005 Lecture 18 Quantitative genetics and QTL mapping POPULATION GENETICS Winter 2005 Lecture 18 Quantitative genetics and QTL mapping - from Darwin's time onward, it has been widely recognized that natural populations harbor a considerably degree of genetic

More information

Population- group of individuals of the SAME species that live in the same area Species- a group of similar organisms that can breed and produce

Population- group of individuals of the SAME species that live in the same area Species- a group of similar organisms that can breed and produce Dr. Bertolotti Essential Question: Population- group of individuals of the SAME species that live in the same area Species- a group of similar organisms that can breed and produce FERTILE offspring Allele-

More information

FOREST GENETICS. The role of genetics in domestication, management and conservation of forest tree populations

FOREST GENETICS. The role of genetics in domestication, management and conservation of forest tree populations FOREST GENETICS The role of genetics in domestication, management and conservation of forest tree populations Yousry A. El-Kassaby y.el-kassaby@ubc.ca Department of Forest and Conservation Sciences Forest

More information

Quantitative Genetics for Using Genetic Diversity

Quantitative Genetics for Using Genetic Diversity Footprints of Diversity in the Agricultural Landscape: Understanding and Creating Spatial Patterns of Diversity Quantitative Genetics for Using Genetic Diversity Bruce Walsh Depts of Ecology & Evol. Biology,

More information

Mediterranean Forests in Transition (MEDIT): Deliverable No1

Mediterranean Forests in Transition (MEDIT): Deliverable No1 Mediterranean Forests in Transition (MEDIT): Deliverable No1 Title: Report on the results of the tree-rings meta-analysis Due to Project Month 6, Date: 30/09/2012 Introduction This manuscript summarises

More information

Conifer Translational Genomics Network Coordinated Agricultural Project

Conifer Translational Genomics Network Coordinated Agricultural Project Conifer Translational Genomics Network Coordinated Agricultural Project Genomics in Tree Breeding and Forest Ecosystem Management ----- Module 3 Population Genetics Nicholas Wheeler & David Harry Oregon

More information

Lecture 1 Introduction to Modern Plant Breeding. Bruce Walsh lecture notes Tucson Winter Institute 7-9 Jan 2013

Lecture 1 Introduction to Modern Plant Breeding. Bruce Walsh lecture notes Tucson Winter Institute 7-9 Jan 2013 Lecture 1 Introduction to Modern Plant Breeding Bruce Walsh lecture notes Tucson Winter Institute 7-9 Jan 2013 1 Importance of Plant breeding Plant breeding is the most important technology developed by

More information

A working model network of tree improvement for competitive, multifunctional and sustainable European forestry

A working model network of tree improvement for competitive, multifunctional and sustainable European forestry 6th framework programme Research Infrastructures Action Integrating activity A working model network of tree improvement for competitive, multifunctional and sustainable European forestry "Structuring

More information

High-density SNP Genotyping Analysis of Broiler Breeding Lines

High-density SNP Genotyping Analysis of Broiler Breeding Lines Animal Industry Report AS 653 ASL R2219 2007 High-density SNP Genotyping Analysis of Broiler Breeding Lines Abebe T. Hassen Jack C.M. Dekkers Susan J. Lamont Rohan L. Fernando Santiago Avendano Aviagen

More information

Evolution of species range limits. Takuji Usui (Angert Lab) BIOL Nov 2017

Evolution of species range limits. Takuji Usui (Angert Lab) BIOL Nov 2017 Evolution of species range limits Takuji Usui (Angert Lab) BIOL 509 28 Nov 2017 Range limits often occur on continuous ecological gradients Range maps modified from Sheth et al. (2014). J Biogeogr., 41,

More information

Lecture 21: Association Studies and Signatures of Selection. November 6, 2006

Lecture 21: Association Studies and Signatures of Selection. November 6, 2006 Lecture 21: Association Studies and Signatures of Selection November 6, 2006 Announcements Outline due today (10 points) Only one reading for Wednesday: Nielsen, Molecular Signatures of Natural Selection

More information

Evolutionary Applications

Evolutionary Applications Evolutionary Applications Evolutionary Applications ISSN 1752-4571 ORIGINAL ARTICLE Simulating local adaptation to climate of forest trees with a Physio-Demo-Genetics model Sylvie Oddou-Muratorio and Hendrik

More information

The place of genetic diversity in adapting forests to climate change. Jean-Charles Bastien

The place of genetic diversity in adapting forests to climate change. Jean-Charles Bastien The place of genetic diversity in adapting forests to climate change Jean-Charles Bastien EFIATLANTIC & IEFC annual meeting Edinburgh May 10, 2017 An answer to climate change : study the within population

More information

b. (3 points) The expected frequencies of each blood type in the deme if mating is random with respect to variation at this locus.

b. (3 points) The expected frequencies of each blood type in the deme if mating is random with respect to variation at this locus. NAME EXAM# 1 1. (15 points) Next to each unnumbered item in the left column place the number from the right column/bottom that best corresponds: 10 additive genetic variance 1) a hermaphroditic adult develops

More information

FROM PROGENY TESTING TO SEED ORCHARD THROUGH MATHEMATICAL PROGRAMMING. Fan H. Kung, Calvin F. Bey and Theodore H. Mattheiss

FROM PROGENY TESTING TO SEED ORCHARD THROUGH MATHEMATICAL PROGRAMMING. Fan H. Kung, Calvin F. Bey and Theodore H. Mattheiss FROM PROGENY TESTING TO SEED ORCHARD THROUGH MATHEMATICAL PROGRAMMING Fan H. Kung, Calvin F. Bey and Theodore H. Mattheiss Abstract.--Ideal seed orchards have balanced, maximized genetic gain on all favorable

More information

Chapter IV: Adaptive potential - a partial insurance against climate change risks

Chapter IV: Adaptive potential - a partial insurance against climate change risks Chapter IV: Adaptive potential - a partial insurance against climate change risks Jean-Baptiste Lamy, Sylvain Delzon and Antoine Kremer To exploit natural adaptation to climate: a weapon to cope with climate

More information

Trees4Future Designing trees for the future Research infrastructures for forestry research

Trees4Future Designing trees for the future Research infrastructures for forestry research Trees4Future Designing trees for the future 2012-2016 Research infrastructures for forestry research New Wind Luc E.Pâques (INRA-AGPF) Final conference, Brussels April 4 6, 2016 Objectives: the call...

More information

Mediterranean forest genetic diversity and adaptive conservation strategies

Mediterranean forest genetic diversity and adaptive conservation strategies Mediterranean forest genetic diversity and adaptive conservation strategies Aristotelis C. Papageorgiou Forest Genetics Laboratory Democritus University of Thrace Orestiada, Greece Genetic component of

More information

DYNAMICS OF GENETIC DIVERSITY IN MANAGED FORESTS. Antoine KREMER INRA Bordeaux Cestas France

DYNAMICS OF GENETIC DIVERSITY IN MANAGED FORESTS. Antoine KREMER INRA Bordeaux Cestas France DYNAMICS OF GENETIC DIVERSITY IN MANAGED FORESTS Antoine KREMER INRA Bordeaux Cestas France CHANGES OF GENETIC DIVERSITY ASSOCIATED TO FORESTRY OPERATIONS WHAT ARE THESE CHANGES? WHAT ARE THE IMPACTS AND

More information

A Primer of Ecological Genetics

A Primer of Ecological Genetics A Primer of Ecological Genetics Jeffrey K. Conner Michigan State University Daniel L. Hartl Harvard University Sinauer Associates, Inc. Publishers Sunderland, Massachusetts U.S.A. Contents Preface xi Acronyms,

More information

> SER Summer School RESTORATION ECOLOGY Université d Avignon et des Pays de Vaucluse & Aix-Marseille Université May 13 th to May 17 th 2013

> SER Summer School RESTORATION ECOLOGY Université d Avignon et des Pays de Vaucluse & Aix-Marseille Université May 13 th to May 17 th 2013 Université d Avignon et des Pays de Vaucluse & Aix-Marseille Université May 13 th to May 17 th 2013 General information SER summer school 2013 is a 5-day program on the restoration of Mediterranean ecosystems

More information

Chapter 3: Evolutionary genetics of natural populations

Chapter 3: Evolutionary genetics of natural populations Chapter 3: Evolutionary genetics of natural populations What is Evolution? Change in the frequency of an allele within a population Evolution acts on DIVERSITY to cause adaptive change Ex. Light vs. Dark

More information

Effets des activités de l homme sur l'environnement à l échelle de la planète

Effets des activités de l homme sur l'environnement à l échelle de la planète UMR 8079 Effets des activités de l homme sur l'environnement à l échelle de la planète Paul LEADLEY Professor, ESE Laboratory, Université Paris-Sud 11 Laboratoire d Ecologie, Systématique et Evolution

More information

> SER Summer School RESTORATION ECOLOGY Université d Avignon et des Pays de Vaucluse & Aix-Marseille Université May 13 th to May 17 th 2013

> SER Summer School RESTORATION ECOLOGY Université d Avignon et des Pays de Vaucluse & Aix-Marseille Université May 13 th to May 17 th 2013 Université d Avignon et des Pays de Vaucluse & Aix-Marseille Université May 13 th to May 17 th 2013 General information SER summer school 2013 is a 5-day program on the restoration of Mediterranean ecosystems

More information

Marker Assisted Selection Where, When, and How. Lecture 18

Marker Assisted Selection Where, When, and How. Lecture 18 Marker Assisted Selection Where, When, and How 1 2 Introduction Quantitative Genetics Selection Based on Phenotype and Relatives Information ε µ β + + = d Z d X Y Chuck = + Y Z Y X A Z Z X Z Z X X X d

More information

The Theory of Evolution

The Theory of Evolution The Theory of Evolution Mechanisms of Evolution Notes Pt. 4 Population Genetics & Evolution IMPORTANT TO REMEMBER: Populations, not individuals, evolve. Population = a group of individuals of the same

More information

Managing mixed stands in plantation forestry: utopia or opportunity?

Managing mixed stands in plantation forestry: utopia or opportunity? Managing mixed stands in plantation forestry: utopia or opportunity? 2014 IEFC/EFIATLANTIC Annual Meeting, 29th April, Bilbao Alejandro Cantero Amiano (HAZI) & Roque Rodriguez Soalleiro (USC) Backgrounds

More information

Deployment Issues & Genetic Diversity. John Russell & Alvin Yanchuk

Deployment Issues & Genetic Diversity. John Russell & Alvin Yanchuk Deployment Issues & Genetic Diversity John Russell & Alvin Yanchuk Table of Contents Introduction... 2 1. The Single Gene & Risk of Plantation Failure Approach... 2 2. Genetic Sampling Theory, Loss of

More information

Genomic resources. for non-model systems

Genomic resources. for non-model systems Genomic resources for non-model systems 1 Genomic resources Whole genome sequencing reference genome sequence comparisons across species identify signatures of natural selection population-level resequencing

More information

Molecular tools to assess genetic diversity: Examples. from temperate and tropical forests. Reiner Finkeldey. Freiburg, Workshop Oct 2009

Molecular tools to assess genetic diversity: Examples. from temperate and tropical forests. Reiner Finkeldey. Freiburg, Workshop Oct 2009 Freiburg, Workshop Oct 2009 Molecular tools to assess genetic diversity: Examples from temperate and tropical forests Reiner Finkeldey 1 Outline/objectives 2 Presentation for workshop Objectives (here:

More information

APPLICATIONS FOR MICROSATELLITE MARKERS IN THE MANAGEMENT AND CONSERVATION OF FOREST TREES,

APPLICATIONS FOR MICROSATELLITE MARKERS IN THE MANAGEMENT AND CONSERVATION OF FOREST TREES, APPLICATIONS FOR MICROSATELLITE MARKERS IN THE MANAGEMENT AND CONSERVATION OF FOREST TREES, illustration with: Baillonella toxisperma and Milicia excelsa Ndiade Bourobou D, Moussavou H, NZENGUE E, Favreau

More information

Genetic Options for Adapting Forests to Climate Change

Genetic Options for Adapting Forests to Climate Change Genetic Options for Adapting Forests to Climate Change Glenn Howe Department of Forest Ecosystems and Society Oregon State University Brad St.Clair Pacific Northwest Research Station U.S. Forest Service

More information

DEDICATIONS. To the people who have inspired and sustained me throughout my life: Mom, Dad, Mary, Dorothy, Suzie and Antonio. TW

DEDICATIONS. To the people who have inspired and sustained me throughout my life: Mom, Dad, Mary, Dorothy, Suzie and Antonio. TW FOREST GENETICS DEDICATIONS To the people who have inspired and sustained me throughout my life: Mom, Dad, Mary, Dorothy, Suzie and Antonio. TW To Cathy, Christine, Michael, Patrick, Neal, Kenda, Halli,

More information

Stand composition and stocking management in Mediterranean Stone pine (P. pinea L. ) forests as an adaptive measure to climate change

Stand composition and stocking management in Mediterranean Stone pine (P. pinea L. ) forests as an adaptive measure to climate change Stand composition and stocking management in Mediterranean Stone pine (P. pinea L. ) forests as an adaptive measure to climate change Javier de Dios, Marta Pardos, Mar Conde, Guillermo Madrigal, Rafael

More information

Science serving forestry in the Mediterranean Region: the ways ahead

Science serving forestry in the Mediterranean Region: the ways ahead Science serving forestry in the Mediterranean Region: the ways ahead by Yves BIROT The aim of the first session of the Mediterranean Forest Week, held in Avignon on April 5-8, 2011, was to present the

More information

PDG Documentation, version 2 Sylvie Muratorio, July 2017

PDG Documentation, version 2 Sylvie Muratorio, July 2017 PDG Documentation, version 2 Sylvie Muratorio, July 2017 Contents 1) PDG general purpose and main originalities... 2 2.1. General purpose... 2 2.2. Modeling plastic and genetic variation of life-history

More information

Variation Chapter 9 10/6/2014. Some terms. Variation in phenotype can be due to genes AND environment: Is variation genetic, environmental, or both?

Variation Chapter 9 10/6/2014. Some terms. Variation in phenotype can be due to genes AND environment: Is variation genetic, environmental, or both? Frequency 10/6/2014 Variation Chapter 9 Some terms Genotype Allele form of a gene, distinguished by effect on phenotype Haplotype form of a gene, distinguished by DNA sequence Gene copy number of copies

More information

MICROEVOLUTION. On the Origin of Species WHAT IS A SPECIES? WHAT IS A POPULATION? Genetic variation: how do new forms arise?

MICROEVOLUTION. On the Origin of Species WHAT IS A SPECIES? WHAT IS A POPULATION? Genetic variation: how do new forms arise? MICROEVOLUTION On the Origin of Species WHAT IS A SPECIES? Individuals in one or more populations Potential to interbreed Produce fertile offspring WHAT IS A POPULATION? Group of interacting individuals

More information

Genomic management of inbreeding in breeding schemes

Genomic management of inbreeding in breeding schemes Genomic management of inbreeding in breeding schemes Theo Meuwissen, Anna Sonesson, John Woolliams Norwegian University of Life Sciences, Ås, Norway. NOFIMA, Ås, Norway Roslin Institute, Edinburgh, UK

More information

5/18/2017. Genotypic, phenotypic or allelic frequencies each sum to 1. Changes in allele frequencies determine gene pool composition over generations

5/18/2017. Genotypic, phenotypic or allelic frequencies each sum to 1. Changes in allele frequencies determine gene pool composition over generations Topics How to track evolution allele frequencies Hardy Weinberg principle applications Requirements for genetic equilibrium Types of natural selection Population genetic polymorphism in populations, pp.

More information

Chapter 25 Population Genetics

Chapter 25 Population Genetics Chapter 25 Population Genetics Population Genetics -- the discipline within evolutionary biology that studies changes in allele frequencies. Population -- a group of individuals from the same species that

More information

BIOLOGY 3201 UNIT 4 EVOLUTION CH MECHANISMS OF EVOLUTION

BIOLOGY 3201 UNIT 4 EVOLUTION CH MECHANISMS OF EVOLUTION BIOLOGY 3201 UNIT 4 EVOLUTION CH. 20 - MECHANISMS OF EVOLUTION POPULATION GENETICS AND HARDY WEINBERG PRINCIPLE Population genetics: this is a study of the genes in a population and how they may or may

More information

GENETIC ALGORITHMS. Narra Priyanka. K.Naga Sowjanya. Vasavi College of Engineering. Ibrahimbahg,Hyderabad.

GENETIC ALGORITHMS. Narra Priyanka. K.Naga Sowjanya. Vasavi College of Engineering. Ibrahimbahg,Hyderabad. GENETIC ALGORITHMS Narra Priyanka K.Naga Sowjanya Vasavi College of Engineering. Ibrahimbahg,Hyderabad mynameissowji@yahoo.com priyankanarra@yahoo.com Abstract Genetic algorithms are a part of evolutionary

More information

CCI+ Biomass First User Workshop. Climate Models Requirements for Biomass Observations. P. Ciais and D. Goll

CCI+ Biomass First User Workshop. Climate Models Requirements for Biomass Observations. P. Ciais and D. Goll CCI+ Biomass First User Workshop Climate Models Requirements for Biomass Observations P. Ciais and D. Goll Thanks to LSCE, U Leicester and U. Sheffield colleagues 1 Role of biomass in Earth System Models

More information

CHERRY PROGENY TESTS 1 /

CHERRY PROGENY TESTS 1 / SELECTION EFFICACY IN YOUKG BLACK CHERRY PROGENY TESTS 1 / by Henry D. Gerhold, Professor of Forest Genetics, and Brian J. Stanton, former Graduate Assistant, School of Forest Resources, Pennsylvania State

More information

Strategy for Applying Genome-Wide Selection in Dairy Cattle

Strategy for Applying Genome-Wide Selection in Dairy Cattle Strategy for Applying Genome-Wide Selection in Dairy Cattle L. R. Schaeffer Centre for Genetic Improvement of Livestock Department of Animal & Poultry Science University of Guelph, Guelph, ON, Canada N1G

More information

The Evolution of Populations

The Evolution of Populations The Evolution of Populations What you need to know How and reproduction each produce genetic. The conditions for equilibrium. How to use the Hardy-Weinberg equation to calculate allelic and to test whether

More information

Study Guide A. Answer Key. The Evolution of Populations

Study Guide A. Answer Key. The Evolution of Populations The Evolution of Populations Answer Key SECTION 1. GENETIC VARIATION WITHIN POPULATIONS 1. b 2. d 3. gene pool 4. combinations of alleles 5. allele frequencies 6. ratio or percentage 7. mutation 8. recombination

More information

Introduction to Population Genetics. Spezielle Statistik in der Biomedizin WS 2014/15

Introduction to Population Genetics. Spezielle Statistik in der Biomedizin WS 2014/15 Introduction to Population Genetics Spezielle Statistik in der Biomedizin WS 2014/15 What is population genetics? Describes the genetic structure and variation of populations. Causes Maintenance Changes

More information

11.1. A population shares a common gene pool. The Evolution of Populations CHAPTER 11. Fill in the concept map below.

11.1. A population shares a common gene pool. The Evolution of Populations CHAPTER 11. Fill in the concept map below. SECTION 11.1 GENETIC VARIATION WITHIN POPULATIONS Study Guide KEY CONCEPT A population shares a common gene pool. VOCABULARY gene pool allele frequency MAIN IDEA: Genetic variation in a population increases

More information

Using molecular marker technology in studies on plant genetic diversity Final considerations

Using molecular marker technology in studies on plant genetic diversity Final considerations Using molecular marker technology in studies on plant genetic diversity Final considerations Copyright: IPGRI and Cornell University, 2003 Final considerations 1 Contents! When choosing a technique...!

More information

Evolutionary Algorithms

Evolutionary Algorithms Evolutionary Algorithms Fall 2008 1 Introduction Evolutionary algorithms (or EAs) are tools for solving complex problems. They were originally developed for engineering and chemistry problems. Much of

More information

Traditional Genetic Improvement. Genetic variation is due to differences in DNA sequence. Adding DNA sequence data to traditional breeding.

Traditional Genetic Improvement. Genetic variation is due to differences in DNA sequence. Adding DNA sequence data to traditional breeding. 1 Introduction What is Genomic selection and how does it work? How can we best use DNA data in the selection of cattle? Mike Goddard 5/1/9 University of Melbourne and Victorian DPI of genomic selection

More information

Introduced or native tree species to maintain forest ecosystem services in a hotter and drier future?

Introduced or native tree species to maintain forest ecosystem services in a hotter and drier future? Introduced or native tree species to maintain forest ecosystem services in a hotter and drier future? A. Rigling, A. Gessler, L. Feichtinger, V. Queloz, T. Wohlgemuth Drought and tree mortality Global

More information

SYLLABUS AND SAMPLE QUESTIONS FOR JRF IN BIOLOGICAL ANTHROPOLGY 2011

SYLLABUS AND SAMPLE QUESTIONS FOR JRF IN BIOLOGICAL ANTHROPOLGY 2011 SYLLABUS AND SAMPLE QUESTIONS FOR JRF IN BIOLOGICAL ANTHROPOLGY 2011 SYLLABUS 1. Introduction: Definition and scope; subdivisions of anthropology; application of genetics in anthropology. 2. Human evolution:

More information

Lab 2: Mathematical Modeling: Hardy-Weinberg 1. Overview. In this lab you will:

Lab 2: Mathematical Modeling: Hardy-Weinberg 1. Overview. In this lab you will: AP Biology Name Lab 2: Mathematical Modeling: Hardy-Weinberg 1 Overview In this lab you will: 1. learn about the Hardy-Weinberg law of genetic equilibrium, and 2. study the relationship between evolution

More information

Gene conservation in the Nordic area - status and future perspectives Kjersti Bakkebø Fjellstad, NordGen Forest and Norwegian Genetic Resource Centre

Gene conservation in the Nordic area - status and future perspectives Kjersti Bakkebø Fjellstad, NordGen Forest and Norwegian Genetic Resource Centre 1 Gene conservation in the Nordic area - status and future perspectives Kjersti Bakkebø Fjellstad, NordGen Forest and Norwegian Genetic Resource Centre NordGen Forest thematic day, 11 april 2018 Genetic

More information

Conservation and Sustainability Use of Genetic Resources for Food and Agriculture

Conservation and Sustainability Use of Genetic Resources for Food and Agriculture Conservation and Sustainability Use of Genetic Resources for Food and Agriculture Guadalajara, March 3 rd, 2010 Jean-Marcel Ribaut GCP, Mexico Jean Christophe Glaszmann CIRAD, France and GCP, Mexico Conservation

More information

Glacial Refugia: Hot Spots But Not Melting Pots of Genetic Diversity. By Remy J. Petit et al.

Glacial Refugia: Hot Spots But Not Melting Pots of Genetic Diversity. By Remy J. Petit et al. Glacial Refugia: Hot Spots But Not Melting Pots of Genetic Diversity By Remy J. Petit et al. Fossil pollen data and macrofossil remains have indicated several small areas in the Iberian, Italian, and Balkan

More information

ERA-NET+ (FP7) FACCE-JPI 2014 programme Climate Smart Agriculture

ERA-NET+ (FP7) FACCE-JPI 2014 programme Climate Smart Agriculture ERA-NET+ (FP7) FACCE-JPI 2014 programme Climate Smart Agriculture Bridging landscape genomics and quantitative genetics for a regional adaptation of European grasslands to climate change GrassLandscape

More information

Forest Stewardship Action Plan for Climate Change Adaptation

Forest Stewardship Action Plan for Climate Change Adaptation Forest Stewardship Action Plan for Climate Change Adaptation 2012-2017 February 27, 2012 Forest Stewardship Action Plan for Climate Change Adaptation 2012 2017 Table of Contents Executive Summary... 1

More information

CLIMATE CHANGE INDUCED VEGETATION SHIFTS IN EUROPE

CLIMATE CHANGE INDUCED VEGETATION SHIFTS IN EUROPE CLIMATE CHANGE INDUCED VEGETATION SHIFTS IN EUROPE ÁGNES GARAMVÖLGYI Corvinus University of Budapest, Department of Mathematics and Informatics H-1118 Budapest, Villányi út 29-43. e-mail: garamvolgyiagi@gmail.com

More information

Genetic dissection of complex traits, crop improvement through markerassisted selection, and genomic selection

Genetic dissection of complex traits, crop improvement through markerassisted selection, and genomic selection Genetic dissection of complex traits, crop improvement through markerassisted selection, and genomic selection Awais Khan Adaptation and Abiotic Stress Genetics, Potato and sweetpotato International Potato

More information

MAS refers to the use of DNA markers that are tightly-linked to target loci as a substitute for or to assist phenotypic screening.

MAS refers to the use of DNA markers that are tightly-linked to target loci as a substitute for or to assist phenotypic screening. Marker assisted selection in rice Introduction The development of DNA (or molecular) markers has irreversibly changed the disciplines of plant genetics and plant breeding. While there are several applications

More information

UNIT 4: EVOLUTION Chapter 11: The Evolution of Populations

UNIT 4: EVOLUTION Chapter 11: The Evolution of Populations CORNELL NOTES Directions: You must create a minimum of 5 questions in this column per page (average). Use these to study your notes and prepare for tests and quizzes. Notes will be stamped after each assigned

More information

5/2/ Genes and Variation. How Common Is Genetic Variation? Variation and Gene Pools

5/2/ Genes and Variation. How Common Is Genetic Variation? Variation and Gene Pools 16-1 Genes 16-1 and Variation Genes and Variation 1 of 24 How Common Is Genetic Variation? How Common Is Genetic Variation? Many genes have at least two forms, or alleles. All organisms have genetic variation

More information

17.1 What Is It That Evolves? Microevolution. Microevolution. Ch. 17 Microevolution. Genes. Population

17.1 What Is It That Evolves? Microevolution. Microevolution. Ch. 17 Microevolution. Genes. Population Ch. 17 Microevolution 17.1 What Is It That Evolves? Microevolution Population Defined as all the members of a single species living in a defined geographical area at a given time A sexually reproducing

More information

Traits and technologies to design crop breeding systems for climate change

Traits and technologies to design crop breeding systems for climate change Genotype Breeding method Spectral signature Phenotype (yield) Environment Stress pattern Traits and technologies to design crop breeding systems for climate change SC Chapman1, MF Dreccer1, K Chenu2, D

More information

Abial a growth simulator for pure even-aged stands of silver fir (Abies alba Mill.) in Vosges and Jura

Abial a growth simulator for pure even-aged stands of silver fir (Abies alba Mill.) in Vosges and Jura Abial a growth simulator for pure even-aged stands of silver fir (Abies alba Mill.) in Vosges and Jura Frédéric Mothe (1), Jean-Daniel Bontemps (1), Fleur Longuetaud (1), Vincent Perez (1), Daniel Rittié

More information

MECHANISMS FOR EVOLUTION CHAPTER 20

MECHANISMS FOR EVOLUTION CHAPTER 20 MECHANISMS FOR EVOLUTION CHAPTER 20 Objectives State the Hardy-Weinburg theorem Write the Hardy-Weinburg equation and be able to use it to calculate allele and genotype frequencies List the conditions

More information

Bridging modeled and measured data to evaluate forest health and vitality

Bridging modeled and measured data to evaluate forest health and vitality Italian national agency for new technologies, energy and sustainable economic development Bridging modeled and measured data to evaluate forest health and vitality Alessandra De Marco 1, Chiara Proietti

More information

Implementing direct and indirect markers.

Implementing direct and indirect markers. Chapter 16. Brian Kinghorn University of New England Some Definitions... 130 Directly and indirectly marked genes... 131 The potential commercial value of detected QTL... 132 Will the observed QTL effects

More information

Ecological genomics and molecular adaptation: state of the Union and some research goals for the near future.

Ecological genomics and molecular adaptation: state of the Union and some research goals for the near future. Ecological genomics and molecular adaptation: state of the Union and some research goals for the near future. Louis Bernatchez Genomics and Conservation of Aquatic Resources Université LAVAL! Molecular

More information

Gene Flow and Paternity Analysis. Oct 6, 2006

Gene Flow and Paternity Analysis. Oct 6, 2006 Gene Flow and Paternity Analysis Oct 6, 2006 Last Time Variation among populations: F- statistics Indirect estimates of gene flow Today Lab recap More about indirect measures of gene flow Direct measures

More information

GENE FLOW AND POPULATION STRUCTURE

GENE FLOW AND POPULATION STRUCTURE 3 GENE FLOW AND POPULATION STRUCTURE Objectives Model two subpopulations that exchange individuals through gene flow Determine equilibrium allele frequencies as a result of gene flow Calculate H (heterozygosity)

More information

Geographic range predicts photosynthetic and growth response to warming in co-occurring

Geographic range predicts photosynthetic and growth response to warming in co-occurring SUPPLEMENTARY INFORMATION DOI: 10.1038/NCLIMATE2497 Geographic range predicts photosynthetic and growth response to warming in co-occurring tree species Site and species descriptions The experiment is

More information

Post-invasion evolution of an invasive plant : altitudinal differenciation in germination, phenology and growth

Post-invasion evolution of an invasive plant : altitudinal differenciation in germination, phenology and growth Arnaud Monty Grégory Mahy Post-invasion evolution of an invasive plant : altitudinal differenciation in germination, phenology and growth Laboratory of Ecology, Gembloux Agricultural University, Passage

More information

Week 7 - Natural Selection and Genetic Variation for Allozymes

Week 7 - Natural Selection and Genetic Variation for Allozymes Week 7 - Natural Selection and Genetic Variation for Allozymes Introduction In today's laboratory exercise, we will explore the potential for natural selection to cause evolutionary change, and we will

More information

United States Department of Agriculture Final Report. Alfalfa and Forage Program. Departments Monteros Lab {NO DATA ENTERED}

United States Department of Agriculture Final Report. Alfalfa and Forage Program. Departments Monteros Lab {NO DATA ENTERED} Title: Root Traits to Enhance Nutrient and Water Use in Alfalfa Sponsoring Agency Funding Source Accession No. Project Start Date Reporting Period Start Date Submitted By NIFA Non Formula 1004474 09/01/2014

More information

Outline of lectures 9-11

Outline of lectures 9-11 GENOME 453 J. Felsenstein Evolutionary Genetics Autumn, 2011 Genetics of quantitative characters Outline of lectures 9-11 1. When we have a measurable (quantitative) character, we may not be able to discern

More information

GENETIC VARIATION IN SURVIVAL OF LONGLEAF PINE. R. E. Goddard and Richard Bryant 1/

GENETIC VARIATION IN SURVIVAL OF LONGLEAF PINE. R. E. Goddard and Richard Bryant 1/ GENETIC VARIATION IN SURVIVAL OF LONGLEAF PINE R. E. Goddard and Richard Bryant 1/ Abstract.--Open pollinated progenies of approximately 300 longleaf pines were established in 8 tests across Florida, Georgia

More information

Testing Criteria and Indicators forassessing the Sustainability of Forest Management: Genetic Criteria and Indicators

Testing Criteria and Indicators forassessing the Sustainability of Forest Management: Genetic Criteria and Indicators WORKING PAPER NO. 10 CIFOR CENTER FOR INTERNATIONAL FORESTRY RESEARCH Jul 1996 Testing Criteria and Indicators forassessing the Sustainability of Forest Management: Genetic Criteria and Indicators Gene

More information

Adaptation of Canada s boreal forest and its forest sector to climate change impacts

Adaptation of Canada s boreal forest and its forest sector to climate change impacts Adaptation of Canada s boreal forest and its forest sector to climate change impacts Sylvie Gauthier, Pierre Bernier, Phil. J. Burton, Kendra Isaac, Nathalie Isabel, Karelle Jayen, Heloïse Le Goff and

More information