SlideShare a Scribd company logo
1 of 18
Origin of the diversitywithin Afrotropicalstem borers subtribe Sesamiina (Lep. Noctuidae) Emmanuel Toussaint Faculté des Sciences d’Orsay, Université Paris-Sud XI Collaborators: Bruno Le Ru, Gaël Kergoat & Jean-François Silvain Laboratoire Evolution Génomes et Spéciation UPR9034 IRD/CNRS Gif-sur-Yvette Centre de Biologie et de Gestion des Populations UMR1062 INRA/CIRAD/IRD/Montpellier SupAgro
Introduction Material& Methods Results & Discussion Conclusion Biological model : Apameinitribe More than 800 species (unravelledtaxonomy) Caterpillars on crops No phylogenetichypothesis for the tribe 2 sub-tribes: Sesamiinamainly Afrotropical and Apameinafrom the Palaearcticregion Strong model to investigate the delineationbetweenmolecluar, morphological and ecological species concepts. BusseolafuscaSesamiacalamistis
Introduction Material& Methods Results & Discussion Conclusion Problematic Combiningdifferentanalyticalmehods in order to untangle the evolution of feedingpreferenceswithin the Sesamiina subtribe : Delineate the species shapes of this group using molecular, ecological and morphological data
Introduction Material& Methods Results & Discussion Conclusion ~1000 specimens ~200 species Outgroup Mitochondrial Mitochondrial Nuclear 12S 16S 28S EF1 CO1 CytB Non coding Coding Alignment
Introduction Material& Methods Results & Discussion Conclusion Concatenated matrix ~1000 specimens ~200 species Parsimony analyses              TNT Outgroup Mitochondrial Nuclear Phylogeny 12S 16S 28S EF1 CO1 CytB Non coding Coding Alignment Carvingmonophyleticentities
Introduction Material& Methods Results & Discussion Conclusion Monophyletic groups Concatenated matrix ~1000 specimens ~200 species Bayesian inference analyses MrBayes Parsimony analyses              TNT Outgroup Molecular species delimitation           Pons et al.,2006                     Monaghan et al.,2009 Mitochondrial Nuclear Phylogeny 12S 16S 28S EF1 CO1 CytB Non coding Coding Return to morphology/ecology Alignment Carvingmonophyleticentities Sesamiina Matrix
Introduction Material& Methods Results & Discussion Conclusion Problematic Combiningdifferentanalyticalmehods in order to untangle the evolution of feedingpreferenceswithin the Sesamiina subtribe : Delineate the species shapes of this group using molecular, ecological and morphological data Studying the evolution of feedingpreferencesusingphylogenetic analyses allowing life history traits optimization
Introduction Material& Methods Results & Discussion Conclusion Sesamiina Matrix Species – Host plants encoding Datation by Bayesian inference Beast 40 000 caterpillarsraised on decade of host plants identified by botanists Phylogeny of the Sesamiina subtribe Optimization file Maximum Likelihoodanalysis Reconstructingevolutive patterns between stem borers and their host-plants
Introduction Material& Methods Results & Discussion Conclusion Problématique Combiningdifferentanalyticalmehods in order to untangle the evolution of feedingpreferenceswithin the Sesamiina subtribe : Delineate the species shapes of this group using molecular, ecological and morphological data Studying the evolution of feedingpreferencesusingphylogenetic analyses allowing life history traits optimization Assess the origin of the Sesamiina subtribe Bayesian inference analyses and comparingthis timing with the occurrence of main palaecological and palaeoclimaticevents
Introduction Material& Methods Results & Discussion Conclusion Apameini GeometridaeOenos.       NotodontidaeEuteliidaeNolidaeErebidaeNoctuidae Fossile Arctiidae          48 Ma Hawaii endemicH.Hawaiiensis          => Emergence à 5 Ma Outgroup                      NOCTUOIDEA (Zahiri et al., 2010) MIN AGE     (Erebidae)                MAX AGE (Helicoverpa)                EF1 CO1 DNA Matrix (134 taxons) Fossil and geologicalconstraints Bayesian inferenceanalysis Beast Chronogram Assessing Sesamiina origin
Introduction Material& Methods Results& Discussion Conclusion Molecular species delimitation analyses : exemple of the genusFeraxinia sensu lato : New genus5 nov.sp1 Feraxiniajemjemensis Feraxinia nov.sp1 Feraxinianyei Feraxiniaserena New genus1 nov.sp1 New genus8 nov.sp1 New genus2 nov.sp1 8 morphological species (B.Le Ru pers.com)
Introduction Material& Methods Results& Discussion Conclusion Molecular species delimitation analyses : exemple of the genusFeraxinia sensu lato : New genus2 nov.sp1 New genus8 nov.sp1 New genus1 nov.sp1 Feraxiniaserena nov.sp1 Feraxiniaserena nov.sp2 Feraxiniaserena nov.sp3 Feraxiniaserena nov.sp4 Feraxiniaserena nov.sp5 Feraxiniaserena nov.sp6 Feraxiniaserena Feraxinianyei nov.sp1 Feraxinianyei Feraxinia nov.sp1 Feraxiniajemjemensis New genus5 nov.sp2 New genus 5 nov.sp1 Pons et al. (2006) :  14 espèces moléculaires Monaghan et al. (2009) : 11 espèces moléculaires Choix de la méthode la plus « conservative » Monaghan
Introduction Material& Methods Results& Discussion Conclusion Host-Plant optimization analyses and ancestral state reconstruction BotanicFamilylevel Conico. Acrapex Scio. Pir. Car. Busseola Manga Ferax. Po. Sesamia * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Poaceae * Poaceae Cyperaceae * Cyperaceae Typhaceae Typhaceae * Polyphage Polyphage *
Introduction Material& Methods Results& Discussion Conclusion Host-Plant optimization analyses and ancestral state reconstruction BotanicSub-Familylevel Conico. Acrapex Scio. Pir. Car. Busseola Manga Ferax. Po. Sesamia * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Panicaceae * Poaceae Chlorodoideae * Cyperaceae Arundinoideae Typhaceae Cyperoideae * Polyphage Pooideae Polyphage *
Introduction Material& Methods Results& Discussion Conclusion Host-Plant optimization analyses and ancestral state reconstruction BotanicTribelevel Conico. Acrapex Scio. Pir. Car. Busseola Manga Ferax. Po. Sesamia * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Andropogoneae Poaceae Paniceae * Cyperaceae Zoysieae * Typhaceae Aruiulineae Polyphage Aveneae Cypereae Fuireneae Typheae Polyphage
Introduction Material& Methods Results& Discussion Conclusion Chronogram of the Noctuoidea super-family
Introduction Material& Methods Results& Discussion Conclusion Conclusion ,[object Object]
Unsuspected species richness and highlevel of specialization

More Related Content

What's hot

Summer Research Poster Zooplankton Identification - updated
Summer Research Poster Zooplankton Identification - updatedSummer Research Poster Zooplankton Identification - updated
Summer Research Poster Zooplankton Identification - updatedMeg Danish
 
Microbial Phylogenomics (EVE161) Class 14: Metagenomics
Microbial Phylogenomics (EVE161) Class 14: MetagenomicsMicrobial Phylogenomics (EVE161) Class 14: Metagenomics
Microbial Phylogenomics (EVE161) Class 14: MetagenomicsJonathan Eisen
 
Iowa State Bioinformatics BCB Symposium 2018 - There and Back Again
Iowa State Bioinformatics BCB Symposium 2018 - There and Back AgainIowa State Bioinformatics BCB Symposium 2018 - There and Back Again
Iowa State Bioinformatics BCB Symposium 2018 - There and Back AgainAdina Chuang Howe
 
The benefits of environment specific curation of the public databases for tax...
The benefits of environment specific curation of the public databases for tax...The benefits of environment specific curation of the public databases for tax...
The benefits of environment specific curation of the public databases for tax...Aaron Marc Saunders
 
UC Davis EVE161 Lecture 15 by @phylogenomics
UC Davis EVE161 Lecture 15 by @phylogenomicsUC Davis EVE161 Lecture 15 by @phylogenomics
UC Davis EVE161 Lecture 15 by @phylogenomicsJonathan Eisen
 
Microbial Phylogenomics (EVE161) Class 5
Microbial Phylogenomics (EVE161) Class 5Microbial Phylogenomics (EVE161) Class 5
Microbial Phylogenomics (EVE161) Class 5Jonathan Eisen
 
Introduction to 16S rRNA gene multivariate analysis
Introduction to 16S rRNA gene multivariate analysisIntroduction to 16S rRNA gene multivariate analysis
Introduction to 16S rRNA gene multivariate analysisJosh Neufeld
 
UC Davis EVE161 Lecture 14 by @phylogenomics
UC Davis EVE161 Lecture 14 by @phylogenomicsUC Davis EVE161 Lecture 14 by @phylogenomics
UC Davis EVE161 Lecture 14 by @phylogenomicsJonathan Eisen
 

What's hot (10)

Summer Research Poster Zooplankton Identification - updated
Summer Research Poster Zooplankton Identification - updatedSummer Research Poster Zooplankton Identification - updated
Summer Research Poster Zooplankton Identification - updated
 
Microbial Phylogenomics (EVE161) Class 14: Metagenomics
Microbial Phylogenomics (EVE161) Class 14: MetagenomicsMicrobial Phylogenomics (EVE161) Class 14: Metagenomics
Microbial Phylogenomics (EVE161) Class 14: Metagenomics
 
Iowa State Bioinformatics BCB Symposium 2018 - There and Back Again
Iowa State Bioinformatics BCB Symposium 2018 - There and Back AgainIowa State Bioinformatics BCB Symposium 2018 - There and Back Again
Iowa State Bioinformatics BCB Symposium 2018 - There and Back Again
 
The benefits of environment specific curation of the public databases for tax...
The benefits of environment specific curation of the public databases for tax...The benefits of environment specific curation of the public databases for tax...
The benefits of environment specific curation of the public databases for tax...
 
UC Davis EVE161 Lecture 15 by @phylogenomics
UC Davis EVE161 Lecture 15 by @phylogenomicsUC Davis EVE161 Lecture 15 by @phylogenomics
UC Davis EVE161 Lecture 15 by @phylogenomics
 
Microbial Phylogenomics (EVE161) Class 5
Microbial Phylogenomics (EVE161) Class 5Microbial Phylogenomics (EVE161) Class 5
Microbial Phylogenomics (EVE161) Class 5
 
Sweden_eemis_big_data
Sweden_eemis_big_dataSweden_eemis_big_data
Sweden_eemis_big_data
 
Introduction to 16S rRNA gene multivariate analysis
Introduction to 16S rRNA gene multivariate analysisIntroduction to 16S rRNA gene multivariate analysis
Introduction to 16S rRNA gene multivariate analysis
 
UC Davis EVE161 Lecture 14 by @phylogenomics
UC Davis EVE161 Lecture 14 by @phylogenomicsUC Davis EVE161 Lecture 14 by @phylogenomics
UC Davis EVE161 Lecture 14 by @phylogenomics
 
EVE 161 Lecture 6
EVE 161 Lecture 6EVE 161 Lecture 6
EVE 161 Lecture 6
 

Viewers also liked

10 Insightful Quotes On Designing A Better Customer Experience
10 Insightful Quotes On Designing A Better Customer Experience10 Insightful Quotes On Designing A Better Customer Experience
10 Insightful Quotes On Designing A Better Customer ExperienceYuan Wang
 
Learn BEM: CSS Naming Convention
Learn BEM: CSS Naming ConventionLearn BEM: CSS Naming Convention
Learn BEM: CSS Naming ConventionIn a Rocket
 
How to Build a Dynamic Social Media Plan
How to Build a Dynamic Social Media PlanHow to Build a Dynamic Social Media Plan
How to Build a Dynamic Social Media PlanPost Planner
 
SEO: Getting Personal
SEO: Getting PersonalSEO: Getting Personal
SEO: Getting PersonalKirsty Hulse
 
Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldaba
Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika AldabaLightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldaba
Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldabaux singapore
 

Viewers also liked (7)

Basic entomology
Basic entomologyBasic entomology
Basic entomology
 
10 Insightful Quotes On Designing A Better Customer Experience
10 Insightful Quotes On Designing A Better Customer Experience10 Insightful Quotes On Designing A Better Customer Experience
10 Insightful Quotes On Designing A Better Customer Experience
 
Learn BEM: CSS Naming Convention
Learn BEM: CSS Naming ConventionLearn BEM: CSS Naming Convention
Learn BEM: CSS Naming Convention
 
How to Build a Dynamic Social Media Plan
How to Build a Dynamic Social Media PlanHow to Build a Dynamic Social Media Plan
How to Build a Dynamic Social Media Plan
 
SEO: Getting Personal
SEO: Getting PersonalSEO: Getting Personal
SEO: Getting Personal
 
Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldaba
Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika AldabaLightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldaba
Lightning Talk #9: How UX and Data Storytelling Can Shape Policy by Mika Aldaba
 
Succession “Losers”: What Happens to Executives Passed Over for the CEO Job?
Succession “Losers”: What Happens to Executives Passed Over for the CEO Job? Succession “Losers”: What Happens to Executives Passed Over for the CEO Job?
Succession “Losers”: What Happens to Executives Passed Over for the CEO Job?
 

Similar to Toussaint english

Mendelian Ratio Of Wings Essay
Mendelian Ratio Of Wings EssayMendelian Ratio Of Wings Essay
Mendelian Ratio Of Wings EssayBrianna Johnson
 
Eichler System of Classification.pptx
Eichler System of Classification.pptxEichler System of Classification.pptx
Eichler System of Classification.pptxFarzinParabia2
 
Assisted Reproductive Technologies ARTs in Amphibians
Assisted Reproductive Technologies ARTs  in AmphibiansAssisted Reproductive Technologies ARTs  in Amphibians
Assisted Reproductive Technologies ARTs in AmphibiansMishkat Noor
 
Foraging Behaviour of Apis Mellifera.pptx
Foraging Behaviour of Apis Mellifera.pptxForaging Behaviour of Apis Mellifera.pptx
Foraging Behaviour of Apis Mellifera.pptxMeher Zubair Shehzad
 
5 mohammad chamani
5 mohammad chamani5 mohammad chamani
5 mohammad chamaniDheeraj Vasu
 
Franz Zhang et al Weevil Workshop 2016 Neotropical Entiminae Systematics evol...
Franz Zhang et al Weevil Workshop 2016 Neotropical Entiminae Systematics evol...Franz Zhang et al Weevil Workshop 2016 Neotropical Entiminae Systematics evol...
Franz Zhang et al Weevil Workshop 2016 Neotropical Entiminae Systematics evol...taxonbytes
 
Genetic differentiation of Artemia feanciscana in Kenyan coastal saltworks
Genetic differentiation of Artemia feanciscana in Kenyan coastal saltworksGenetic differentiation of Artemia feanciscana in Kenyan coastal saltworks
Genetic differentiation of Artemia feanciscana in Kenyan coastal saltworksErick Ogello
 
photo of moss by Angie Jane Gray (1).pdf
photo of moss by Angie Jane Gray (1).pdfphoto of moss by Angie Jane Gray (1).pdf
photo of moss by Angie Jane Gray (1).pdfFamilyGray1
 
Drosophila Melanogaster Experiment
Drosophila Melanogaster ExperimentDrosophila Melanogaster Experiment
Drosophila Melanogaster ExperimentKate Subramanian
 
Anphibian biology and husbandry
Anphibian biology and husbandryAnphibian biology and husbandry
Anphibian biology and husbandryandreafuentesarze
 
Effect of long term administration of aspartame on the parotid salivary gland...
Effect of long term administration of aspartame on the parotid salivary gland...Effect of long term administration of aspartame on the parotid salivary gland...
Effect of long term administration of aspartame on the parotid salivary gland...sherein abdelgayed
 
GIGA2 Structuring Phenotype Data
GIGA2 Structuring Phenotype DataGIGA2 Structuring Phenotype Data
GIGA2 Structuring Phenotype DataChris Mungall
 
Microbial eukaryotes in the Movile Cave chemosynthetic ecosystem
Microbial eukaryotes in the Movile Cave chemosynthetic ecosystemMicrobial eukaryotes in the Movile Cave chemosynthetic ecosystem
Microbial eukaryotes in the Movile Cave chemosynthetic ecosystemGuillaume Reboul
 
Roell & campos poster
Roell & campos posterRoell & campos poster
Roell & campos posterTalitaRoell
 

Similar to Toussaint english (20)

Mendelian Ratio Of Wings Essay
Mendelian Ratio Of Wings EssayMendelian Ratio Of Wings Essay
Mendelian Ratio Of Wings Essay
 
Eichler System of Classification.pptx
Eichler System of Classification.pptxEichler System of Classification.pptx
Eichler System of Classification.pptx
 
2000 JME (51)278-285
2000 JME (51)278-2852000 JME (51)278-285
2000 JME (51)278-285
 
Assisted Reproductive Technologies ARTs in Amphibians
Assisted Reproductive Technologies ARTs  in AmphibiansAssisted Reproductive Technologies ARTs  in Amphibians
Assisted Reproductive Technologies ARTs in Amphibians
 
Foraging Behaviour of Apis Mellifera.pptx
Foraging Behaviour of Apis Mellifera.pptxForaging Behaviour of Apis Mellifera.pptx
Foraging Behaviour of Apis Mellifera.pptx
 
5 mohammad chamani
5 mohammad chamani5 mohammad chamani
5 mohammad chamani
 
Franz Zhang et al Weevil Workshop 2016 Neotropical Entiminae Systematics evol...
Franz Zhang et al Weevil Workshop 2016 Neotropical Entiminae Systematics evol...Franz Zhang et al Weevil Workshop 2016 Neotropical Entiminae Systematics evol...
Franz Zhang et al Weevil Workshop 2016 Neotropical Entiminae Systematics evol...
 
Genetic differentiation of Artemia feanciscana in Kenyan coastal saltworks
Genetic differentiation of Artemia feanciscana in Kenyan coastal saltworksGenetic differentiation of Artemia feanciscana in Kenyan coastal saltworks
Genetic differentiation of Artemia feanciscana in Kenyan coastal saltworks
 
photo of moss by Angie Jane Gray (1).pdf
photo of moss by Angie Jane Gray (1).pdfphoto of moss by Angie Jane Gray (1).pdf
photo of moss by Angie Jane Gray (1).pdf
 
Drosophila Melanogaster Experiment
Drosophila Melanogaster ExperimentDrosophila Melanogaster Experiment
Drosophila Melanogaster Experiment
 
Anphibian biology and husbandry
Anphibian biology and husbandryAnphibian biology and husbandry
Anphibian biology and husbandry
 
Effect of long term administration of aspartame on the parotid salivary gland...
Effect of long term administration of aspartame on the parotid salivary gland...Effect of long term administration of aspartame on the parotid salivary gland...
Effect of long term administration of aspartame on the parotid salivary gland...
 
Axel Hausmann - Invertebrates Plenary
Axel Hausmann - Invertebrates PlenaryAxel Hausmann - Invertebrates Plenary
Axel Hausmann - Invertebrates Plenary
 
Aijrfans14 205
Aijrfans14 205Aijrfans14 205
Aijrfans14 205
 
organic evolution evidences
organic evolution evidencesorganic evolution evidences
organic evolution evidences
 
GIGA2 Structuring Phenotype Data
GIGA2 Structuring Phenotype DataGIGA2 Structuring Phenotype Data
GIGA2 Structuring Phenotype Data
 
Love Lab Visit
Love Lab VisitLove Lab Visit
Love Lab Visit
 
Taxonomy a synthetic science
Taxonomy a synthetic scienceTaxonomy a synthetic science
Taxonomy a synthetic science
 
Microbial eukaryotes in the Movile Cave chemosynthetic ecosystem
Microbial eukaryotes in the Movile Cave chemosynthetic ecosystemMicrobial eukaryotes in the Movile Cave chemosynthetic ecosystem
Microbial eukaryotes in the Movile Cave chemosynthetic ecosystem
 
Roell & campos poster
Roell & campos posterRoell & campos poster
Roell & campos poster
 

Toussaint english

  • 1. Origin of the diversitywithin Afrotropicalstem borers subtribe Sesamiina (Lep. Noctuidae) Emmanuel Toussaint Faculté des Sciences d’Orsay, Université Paris-Sud XI Collaborators: Bruno Le Ru, Gaël Kergoat & Jean-François Silvain Laboratoire Evolution Génomes et Spéciation UPR9034 IRD/CNRS Gif-sur-Yvette Centre de Biologie et de Gestion des Populations UMR1062 INRA/CIRAD/IRD/Montpellier SupAgro
  • 2. Introduction Material& Methods Results & Discussion Conclusion Biological model : Apameinitribe More than 800 species (unravelledtaxonomy) Caterpillars on crops No phylogenetichypothesis for the tribe 2 sub-tribes: Sesamiinamainly Afrotropical and Apameinafrom the Palaearcticregion Strong model to investigate the delineationbetweenmolecluar, morphological and ecological species concepts. BusseolafuscaSesamiacalamistis
  • 3. Introduction Material& Methods Results & Discussion Conclusion Problematic Combiningdifferentanalyticalmehods in order to untangle the evolution of feedingpreferenceswithin the Sesamiina subtribe : Delineate the species shapes of this group using molecular, ecological and morphological data
  • 4. Introduction Material& Methods Results & Discussion Conclusion ~1000 specimens ~200 species Outgroup Mitochondrial Mitochondrial Nuclear 12S 16S 28S EF1 CO1 CytB Non coding Coding Alignment
  • 5. Introduction Material& Methods Results & Discussion Conclusion Concatenated matrix ~1000 specimens ~200 species Parsimony analyses TNT Outgroup Mitochondrial Nuclear Phylogeny 12S 16S 28S EF1 CO1 CytB Non coding Coding Alignment Carvingmonophyleticentities
  • 6. Introduction Material& Methods Results & Discussion Conclusion Monophyletic groups Concatenated matrix ~1000 specimens ~200 species Bayesian inference analyses MrBayes Parsimony analyses TNT Outgroup Molecular species delimitation Pons et al.,2006 Monaghan et al.,2009 Mitochondrial Nuclear Phylogeny 12S 16S 28S EF1 CO1 CytB Non coding Coding Return to morphology/ecology Alignment Carvingmonophyleticentities Sesamiina Matrix
  • 7. Introduction Material& Methods Results & Discussion Conclusion Problematic Combiningdifferentanalyticalmehods in order to untangle the evolution of feedingpreferenceswithin the Sesamiina subtribe : Delineate the species shapes of this group using molecular, ecological and morphological data Studying the evolution of feedingpreferencesusingphylogenetic analyses allowing life history traits optimization
  • 8. Introduction Material& Methods Results & Discussion Conclusion Sesamiina Matrix Species – Host plants encoding Datation by Bayesian inference Beast 40 000 caterpillarsraised on decade of host plants identified by botanists Phylogeny of the Sesamiina subtribe Optimization file Maximum Likelihoodanalysis Reconstructingevolutive patterns between stem borers and their host-plants
  • 9. Introduction Material& Methods Results & Discussion Conclusion Problématique Combiningdifferentanalyticalmehods in order to untangle the evolution of feedingpreferenceswithin the Sesamiina subtribe : Delineate the species shapes of this group using molecular, ecological and morphological data Studying the evolution of feedingpreferencesusingphylogenetic analyses allowing life history traits optimization Assess the origin of the Sesamiina subtribe Bayesian inference analyses and comparingthis timing with the occurrence of main palaecological and palaeoclimaticevents
  • 10. Introduction Material& Methods Results & Discussion Conclusion Apameini GeometridaeOenos. NotodontidaeEuteliidaeNolidaeErebidaeNoctuidae Fossile Arctiidae 48 Ma Hawaii endemicH.Hawaiiensis => Emergence à 5 Ma Outgroup NOCTUOIDEA (Zahiri et al., 2010) MIN AGE (Erebidae) MAX AGE (Helicoverpa) EF1 CO1 DNA Matrix (134 taxons) Fossil and geologicalconstraints Bayesian inferenceanalysis Beast Chronogram Assessing Sesamiina origin
  • 11. Introduction Material& Methods Results& Discussion Conclusion Molecular species delimitation analyses : exemple of the genusFeraxinia sensu lato : New genus5 nov.sp1 Feraxiniajemjemensis Feraxinia nov.sp1 Feraxinianyei Feraxiniaserena New genus1 nov.sp1 New genus8 nov.sp1 New genus2 nov.sp1 8 morphological species (B.Le Ru pers.com)
  • 12. Introduction Material& Methods Results& Discussion Conclusion Molecular species delimitation analyses : exemple of the genusFeraxinia sensu lato : New genus2 nov.sp1 New genus8 nov.sp1 New genus1 nov.sp1 Feraxiniaserena nov.sp1 Feraxiniaserena nov.sp2 Feraxiniaserena nov.sp3 Feraxiniaserena nov.sp4 Feraxiniaserena nov.sp5 Feraxiniaserena nov.sp6 Feraxiniaserena Feraxinianyei nov.sp1 Feraxinianyei Feraxinia nov.sp1 Feraxiniajemjemensis New genus5 nov.sp2 New genus 5 nov.sp1 Pons et al. (2006) : 14 espèces moléculaires Monaghan et al. (2009) : 11 espèces moléculaires Choix de la méthode la plus « conservative » Monaghan
  • 13. Introduction Material& Methods Results& Discussion Conclusion Host-Plant optimization analyses and ancestral state reconstruction BotanicFamilylevel Conico. Acrapex Scio. Pir. Car. Busseola Manga Ferax. Po. Sesamia * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Poaceae * Poaceae Cyperaceae * Cyperaceae Typhaceae Typhaceae * Polyphage Polyphage *
  • 14. Introduction Material& Methods Results& Discussion Conclusion Host-Plant optimization analyses and ancestral state reconstruction BotanicSub-Familylevel Conico. Acrapex Scio. Pir. Car. Busseola Manga Ferax. Po. Sesamia * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Panicaceae * Poaceae Chlorodoideae * Cyperaceae Arundinoideae Typhaceae Cyperoideae * Polyphage Pooideae Polyphage *
  • 15. Introduction Material& Methods Results& Discussion Conclusion Host-Plant optimization analyses and ancestral state reconstruction BotanicTribelevel Conico. Acrapex Scio. Pir. Car. Busseola Manga Ferax. Po. Sesamia * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Andropogoneae Poaceae Paniceae * Cyperaceae Zoysieae * Typhaceae Aruiulineae Polyphage Aveneae Cypereae Fuireneae Typheae Polyphage
  • 16. Introduction Material& Methods Results& Discussion Conclusion Chronogram of the Noctuoidea super-family
  • 17.
  • 18. Unsuspected species richness and highlevel of specialization
  • 19. Group diversification occuredat the sametimeas the emergence of the first savannah biomes
  • 20.
  • 21. Study of the diversification rates
  • 22.