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Using big data to understand evolutionary patterns in Geometridae and Erebidae, the two most diverse families of Lepidoptera

Ghanavi, Hamid LU orcid (2020)
Abstract
Lepidoptera (moths and butterflies) are one of the most diverse groups of organisms on earth. They have conquered all the continents apart from Antarctica. The reasons of such high diversity are still not clear. One of the first steps to study the causes of such evolutionary success is to have a clear idea of their phylogenetic relationships. In this thesis I focus on the diversity of two of the most diverse families of Lepidoptera, Geometridae with over 23,000 described species and Erebidae with over 24,000 species. In the case of Geometridae I focus in obtaining a robust phylogenetic hypothesis and then study the diversification dynamics and the biogeographical history which have shaped their actual diversity and distribution. In this... (More)
Lepidoptera (moths and butterflies) are one of the most diverse groups of organisms on earth. They have conquered all the continents apart from Antarctica. The reasons of such high diversity are still not clear. One of the first steps to study the causes of such evolutionary success is to have a clear idea of their phylogenetic relationships. In this thesis I focus on the diversity of two of the most diverse families of Lepidoptera, Geometridae with over 23,000 described species and Erebidae with over 24,000 species. In the case of Geometridae I focus in obtaining a robust phylogenetic hypothesis and then study the diversification dynamics and the biogeographical history which have shaped their actual diversity and distribution. In this project I used the most complete dataset of the family in order to study their evolutionary patterns. In the case of the Erebidae family, obtaining a robust phylogenetic hypothesis was more challenging. In the most complete study of the group up to date, using a multi locus Sanger based approach, it was not possible to resolve the deep phylogeny of the family. Therefore, I used high throughput sequencing (HTS) approaches to resolve the complex deep phylogenetic history of the group. In this project I used old DNA extracts of over 10 years old to explore the possibility of using this genetic resource for genomic studies. In addition, I evaluated the accuracy and range of resolution of the mitochondrial genomes in this family. And finally, I explored the alternative possibilities which the HTS approaches offer us to study the presence of symbiotic interactions using genomic data. (Less)
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author
supervisor
opponent
  • Associate Professor Dimitrov, Dimitar, University Museum of Bergen, Norway
organization
publishing date
type
Thesis
publication status
published
subject
pages
174 pages
publisher
Lund University, Faculty of Science
defense location
Blå Hallen, Ekologihuset, Sölvegatan 37, Lund. Join via zoom: https://lu-se.zoom.us/j/65438392549
defense date
2020-10-09 13:00:00
ISBN
978-91-7895-643-2
978-91-7895-642-5
language
English
LU publication?
yes
id
32061c14-a6dc-4cda-b150-8d2da2ea3095
date added to LUP
2020-09-16 16:38:26
date last changed
2023-10-24 03:07:24
@phdthesis{32061c14-a6dc-4cda-b150-8d2da2ea3095,
  abstract     = {{Lepidoptera (moths and butterflies) are one of the most diverse groups of organisms on earth. They have conquered all the continents apart from Antarctica. The reasons of such high diversity are still not clear. One of the first steps to study the causes of such evolutionary success is to have a clear idea of their phylogenetic relationships. In this thesis I focus on the diversity of two of the most diverse families of Lepidoptera, Geometridae with over 23,000 described species and Erebidae with over 24,000 species. In the case of Geometridae I focus in obtaining a robust phylogenetic hypothesis and then study the diversification dynamics and the biogeographical history which have shaped their actual diversity and distribution. In this project I used the most complete dataset of the family in order to study their evolutionary patterns. In the case of the Erebidae family, obtaining a robust phylogenetic hypothesis was more challenging. In the most complete study of the group up to date, using a multi locus Sanger based approach, it was not possible to resolve the deep phylogeny of the family. Therefore, I used high throughput sequencing (HTS) approaches to resolve the complex deep phylogenetic history of the group. In this project I used old DNA extracts of over 10 years old to explore the possibility of using this genetic resource for genomic studies. In addition, I evaluated the accuracy and range of resolution of the mitochondrial genomes in this family. And finally, I explored the alternative possibilities which the HTS approaches offer us to study the presence of symbiotic interactions using genomic data.}},
  author       = {{Ghanavi, Hamid}},
  isbn         = {{978-91-7895-643-2}},
  language     = {{eng}},
  month        = {{09}},
  publisher    = {{Lund University, Faculty of Science}},
  school       = {{Lund University}},
  title        = {{Using big data to understand evolutionary patterns in Geometridae and Erebidae, the two most diverse families of Lepidoptera}},
  url          = {{https://lup.lub.lu.se/search/files/83812502/Hamid_R_Ghanavi_PhD.pdf}},
  year         = {{2020}},
}