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2. Behavioral Biology TALKS - Deutsche Zoologische Gesellschaft

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from neighbouring South Atlantic deep-sea basins. IceAGE aims to combine classical<br />

taxonomic methods with modern aspects of biodiversity research, in particular<br />

phylogeography (population genetics and DNA barcoding) and ecological modelling in<br />

the climatic sensitive region around Iceland. The sampling area is characterised by<br />

several local pecularities like submarine ridges (geographical barriers) and influence<br />

of different water masses of different origin. This allows the analysis of factors<br />

influencing the distribution and migration of species as well as investigation of the<br />

background of biogeographic zonation. The first IceAGE expedition with RV Meteor<br />

(M85/3) took place August/September 2011.<br />

To highlight the promising approaches of the IceAGE-project, examples from isopods<br />

can demonstrate the complexity of the sampling area and show the first steps in<br />

modelling species distribution in Icelandic waters.<br />

Monday, September 24, 2012<br />

Invited speaker 2: Chair – Christoph Bleidorn A 704 / 11:00<br />

Oliver Niehuis (Bonn)<br />

Insect phylogenetics in the era of genomics<br />

Author: Oliver Niehuis 1<br />

Affiliation: 1 Zoological Research Museum Alexander Koenig Bonn<br />

The evolutionary history of the extant insect orders has received considerable<br />

attention, yet our knowledge of their phylogenetic relationships is far from complete.<br />

Next generation sequencing technology provides new opportunities to study the<br />

phylogeny of insects by analyzing an unparalleled amount of nucleotide characters as<br />

well as new genomic meta-characters. We used whole genome sequencing to infer<br />

the evolutionary origin of twisted-wing parasites (order Strepsiptera) whose<br />

phylogenetic relationship to other endopterygote insects has proven notoriously<br />

difficult to resolve. Using this approach, we were able to study more than 1.7 million<br />

codon sites from approximately 4,500 orthologous and inparalogous genes ? the<br />

largest dataset ever analyzed to resolve the phylogenetic position of Strepsiptera or<br />

any other insect order. We additionally studied near intron pairs and gene order for<br />

phylogenetic reconstruction. In second project (1KITE), we are currently applying<br />

transcriptome sequencing to reconstruct the phylogenetic relationships of all<br />

remaining insect orders by studying transcriptome nucleotide sequence data from<br />

about 1,000 insect species. I will discuss the challenges that are associated with<br />

studying such a large amount of nucleotide data, with assessing orthology among<br />

transcript sequences (and the role of accurately annotated genomes for doing so),<br />

and I will provide first glimpses on the obtained results. Finally, I will show how<br />

genome and transcriptome nucleotide sequence data can be exploited to aid<br />

targeted amplification of genes of interest in research projects with a more narrow<br />

phylogenetic scope and/or with a limited budget.<br />

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