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Sara Ravagni

Conservation and Evolutionary Genetics Group
Estación Biológica de Doñana - CSIC
Avda. Américo Vespucio, 26
41092 Sevilla, Spain
Phone: +34 954232340 #1458

sravagni@ebd.csic.es


Research interests

I am a PhD student in the Doñana Biological Station in Seville under the supervision of Carles Vilà and Ines Sanchez-Donoso.

My main interests lie in the fields of biodiversity, population genetics and evolution. I am particularly interested in the genomic basis of adaptation of organisms to different habitats, and I hope to gain insights on these ecological processes through the use of genomic techniques and bioinformatic tools.


Current work

I am currently working on my dissertation “Adaptation and gene flow in Caribbean frogs”. I will use a group of Caribbean glass frogs of the genus Eleutherodactylus as a model to study the molecular basis of convergence and the role of secondary gene flow in the adaptation to different microhabitats.

I am interested as well in the detection and the role of hybridization and introgression. In my Master thesis, supervised by Carles Vilà and Ines Sanchez-Donoso, I evaluated the power of analysis and potential biases of STRUCTURE, a widely used software in population genetics. This project gave me the opportunity to get started into the field of bioinformatics.

Publications

Peer-reviewed Articles

3

Evolutionary history of an island endemic, the Azorean common quail
Ravagni S, Sanchez-Donoso I, Jiménez-Blasco I, Andrade P, Puigcerver M, Chorão Guedes A, Godinho R, Gonçalves D, Leitão M, Leonard JA, Rodríguez-Teijeiro JD, Vilà C (2023)
Molecular Ecology 00, 1– 15

2

Massive genome inversion drives coexistence of divergent morphs in common quails
Sanchez-Donoso I, Ravagni S, Rodríguez-Teijeiro JD, Christmas MJ, Huang Y, Maldonado-Linares A, Puigcerver M, Jiménez-Blasco I, Andrade P, Gonçalves D, Friis G, Roig I, Webster MT, Leonard JA, Vilà C (2022)
Current Biology 32, 462-469

Graphical abstract



Supp. Info. S1 Supp. Data S1

1

Biased assessment of ongoing admixture using STRUCTURE in the absence of reference samples Ravagni S, Sanchez-Donoso I, Vilà C (2021)
Molecular Ecology Resources 21, 677– 689



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