Difference between revisions of "Evolution of seed size in relation to dispersal agent"

 
(9 intermediate revisions by 2 users not shown)
Line 1: Line 1:
Here is an archive containing everything needed to run the project, source code and datas : [[Media:SeedsSizeSourceCode.zip‎]]
+
'''Background''' : In evolutionary biology, mathematics and phylogeny have recently become primordial tools. Different mathematical models are used to try to explain how species have evolved and differentiated during time, and as we gather more phenotipical and genomic data from research, it is primordial to learn how to use these new information to try to understand how evolution applies to species. In this study, we have used macroevolutive traits instead of microevolutive, meaning that the data are phenotypes and not punctual mutations. The concerned phenotype is seed size, measured in grams.
  
'''Background''' : In evolutionary biology, mathematics and phylogeny have recently become primordial tools. Different mathematical models are used to try to explain how species have evolved and differentiated during time, and as we gather more phenotipical and genomic data from research, it is primordial to learn how to use these new information to try to understand how evolution applies to species. In this study, the students will use macroevolutive traits instead of microevolutive, meaning that the data are phenotypes and not puntucal mutations. The concerned phenotype is seed size, measured in grams.
 
  
'''Goal''':  The objective of the study is to find out if the evolution of  plant seed size in function of their dispersal agent is only due to genetic drift, or if it is under the influence of natural selection. To do so, the students will apply mathematical models on a phylogenetic tree of the seeds : The Brownian     Motion (BM), which represents a model where only random mutations determine the seed size ; and the Ornstein-Uhlenbeck model (OU), which     also takes the effect of natural selection into account. Using R, the  students will learn how to code and optimize two complex mathematical     models, to finally determine which model describes our data the most   accurately.
+
'''Goal''' :  The objective of the study is to find out if the evolution of  plant seed size in function of their dispersal agent is only due to genetic drift, or if it is under the influence of natural selection. To do so, we applied mathematical models on a phylogenetic tree of the seeds : The Brownian Motion (BM), which represents a model where only random mutations determine the seed size ; and the Ornstein-Uhlenbeck model (OU), which also takes the effect of natural selection into account. Using R, we learned how to code and optimize two complex mathematical models, to finally determine which model describes our data the most accurately.
  
'''Mathematical tools''' : Based on the work of Butler and King, students  will learn how to implement in R  diverse statistical functions and  optimization tools used to study the evolutionary models mentioned  above. Using the R package Ape, students will also be able to learn  how to manipulate phylogenetic information.
 
  
'''Biological aspects''' : This study allows to estimate which   model (BM or OU) was more likely applied during evolution, and can be  used to answer different phenotipical problems as ancestral  reconstruction and future expectancies.
+
'''Mathematical tools''' : Based on the work of Butler and King, we learned how to implement in R diverse statistical functions and optimization tools used to study the evolutionary models mentioned above. Using the R package Ape, we also learned how to manipulate phylogenetic information. Formulas and explanations of parameters can be seen in the presentations: for BM model, see mainly the midterm presentation, and for the OU model see mainly the final presentation
 +
 
 +
 
 +
'''Biological aspects''' : This study allows to estimate which model (BM or OU) was more likely applied during evolution, and can be  used to answer different phenotipical problems as ancestral  reconstruction and future expectancies.
 +
 
 +
 
 +
'''Results''': With the implementation of both models that we developed, we were able to demonstrate that the OU theory fits better with our data than the simple genetic drift-based BM model, which means that selection has a significant effect on seeds size. See the end of our final presentation for more detailed results.
 +
 
 +
 
 +
'''Supervisors''' : Anna Kostikova and Nicolas Salamin.
  
'''Supervisors''': Anna Kostikova and Nicolas Salamin.
 
  
 
'''Students''' : Mathieu Seppey, Angela Etienne and Damien Romascano
 
'''Students''' : Mathieu Seppey, Angela Etienne and Damien Romascano
 +
 +
 +
'''Appendices''' :
  
 
Link towards our midterm presentation: [[File:SeedSize Midterm A4.pdf]]  
 
Link towards our midterm presentation: [[File:SeedSize Midterm A4.pdf]]  
 +
 
Link towards our final presentation: [[File:Présentationfinale.pdf]]
 
Link towards our final presentation: [[File:Présentationfinale.pdf]]
 +
 +
Link towards an archive containing everything needed to run the project, source code and datas : [[File:SeedsSizeSourceCode.zip‎]]
 +
 +
 +
 +
Back to [[UNIL BSc course: "Solving Biological Problems that require Math 2013"]]

Latest revision as of 22:21, 6 June 2013

Background : In evolutionary biology, mathematics and phylogeny have recently become primordial tools. Different mathematical models are used to try to explain how species have evolved and differentiated during time, and as we gather more phenotipical and genomic data from research, it is primordial to learn how to use these new information to try to understand how evolution applies to species. In this study, we have used macroevolutive traits instead of microevolutive, meaning that the data are phenotypes and not punctual mutations. The concerned phenotype is seed size, measured in grams.


Goal : The objective of the study is to find out if the evolution of plant seed size in function of their dispersal agent is only due to genetic drift, or if it is under the influence of natural selection. To do so, we applied mathematical models on a phylogenetic tree of the seeds : The Brownian Motion (BM), which represents a model where only random mutations determine the seed size ; and the Ornstein-Uhlenbeck model (OU), which also takes the effect of natural selection into account. Using R, we learned how to code and optimize two complex mathematical models, to finally determine which model describes our data the most accurately.


Mathematical tools : Based on the work of Butler and King, we learned how to implement in R diverse statistical functions and optimization tools used to study the evolutionary models mentioned above. Using the R package Ape, we also learned how to manipulate phylogenetic information. Formulas and explanations of parameters can be seen in the presentations: for BM model, see mainly the midterm presentation, and for the OU model see mainly the final presentation


Biological aspects : This study allows to estimate which model (BM or OU) was more likely applied during evolution, and can be used to answer different phenotipical problems as ancestral reconstruction and future expectancies.


Results: With the implementation of both models that we developed, we were able to demonstrate that the OU theory fits better with our data than the simple genetic drift-based BM model, which means that selection has a significant effect on seeds size. See the end of our final presentation for more detailed results.


Supervisors : Anna Kostikova and Nicolas Salamin.


Students : Mathieu Seppey, Angela Etienne and Damien Romascano


Appendices :

Link towards our midterm presentation: File:SeedSize Midterm A4.pdf

Link towards our final presentation: File:Présentationfinale.pdf

Link towards an archive containing everything needed to run the project, source code and datas : File:SeedsSizeSourceCode.zip


Back to UNIL BSc course: "Solving Biological Problems that require Math 2013"