2. Behavioral Biology TALKS - Deutsche Zoologische Gesellschaft

S�26 Andrey Rozenberg R 513 / 17:00
Next-generation sequencing data analysis for non-model organisms: a workflow
Authors: Andrey Rozenberg 1 , Philipp Brand 1 , Christoph Mayer 2 , Chester Sands 3 ,
Ralph Tollrian 1 , Florian Leese 1
Affiliations: 1 Ruhr Universität Bochum; 2 Zoologisches Forschungsmuseum
Alexander Koenig; 3 British Antarctic Survey, Ecosystems Group
With next-generation sequencing approaches huge amounts sequence data can be
produced in short time and with low costs. This allows addressing biological
questions on genomic level even in non-modal organisms. The amount of
information inherent in such low-coverage datasets, in particular for genetic marker
development, is exceptionally great, yet shotgun low-coverage genomic sequence
libraries produced for a species without a reference genome require special
treatment since several factors such as contamination from non-target organisms
and interspersed repetitive elements may interfere with down-stream analyses. Here
we present a workflow for the analysis of low-coverage next-generation sequencing
data. First, we found it necessary to perform a de novo assembly of the reads due to
the presence of repetitive regions and accidental cases of multiple reads coming
from a unique genomic location. Second, we used BLAST routines to search for
bacterial, viral and symbiotic contamintants in the contigs and unassembled reads.
Then, we searched for mitochondrial and nuclear genes in the libraries. Finally, we
searched for tandem repeats with the aid of the software Phobos with a strict
filtering settings. The core component of our bioinformatic implementation was a
MySQL database, which served as a central storage and analytical environment. All
analyses were performed in a pipeline style using a custom web-interface. The
workflow was developed and tested on a sample of 454 pyrosequencing libraries
representing 16 non-model animal species.
S�27 Hans Hofmann R 513 / 17:15
Deep homology in gene modules that underlie convergent evolution in mating
systems
Author: Hans Hofmann 1
Affiliation: 1 Section of Integrative Biology, University of Texas
Monogamous mating systems have evolved repeatedly and independently in a wide
range of animals, yet little is known about the underlying neural and molecular
substrates and their evolution. We test the hypothesis that the convergent evolution
of monogamy across wide evolutionary distances involved in part the recruitment of
homologous gene modules. We sequenced the brain transcriptomes of mated males
from closely related species (one monogamous, one non-monogamous) of Microtus
voles, Peromyscus mice, Ectodini cichlids, Parid songbirds, as well as paired and nonpaired
Nicrophorus burying beetles to compare expression profiles of orthologous
genes within and across lineages. We found several gene modules that are similarly
regulated in monogamous males, such as neuroendocrine genes and transcription
factors, as well as a different set of gene modules that are similarly regulated in nonmonogamous
males. More detailed analyses as well as transcriptome sequencing of
monogamous and non-monogamous sister species of new world primates and poison
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