Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
Confirmatory Results

Capturing Evolutionary Signatures in Transcriptomes with myTAI

View ORCID ProfileHajk-Georg Drost, Alexander Gabel, Tomislav Domazet-Lošo, Marcel Quint, Ivo Grosse
doi: https://doi.org/10.1101/051565
Hajk-Georg Drost
1Sainsbury Laboratory Cambridge, University of Cambridge, Bateman Street, Cambridge CB2 1LR, UK
2Martin Luther University Halle-Wittenberg, Institute of Computer Science, Halle (Saale), Germany
7German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Hajk-Georg Drost
  • For correspondence: hgd23@cam.ac.uk
Alexander Gabel
2Martin Luther University Halle-Wittenberg, Institute of Computer Science, Halle (Saale), Germany
7German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tomislav Domazet-Lošo
3Laboratory of Evolutionary Genetics, Division of Molecular Biology, Ruder Boškovic Institute, Zagreb, Croatia
4Catholic University of Croatia, Zagreb, Croatia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marcel Quint
5Department of Molecular Signal Processing, Leibniz Institute of Plant Biochemistry, Halle (Saale), Germany
6Martin Luther University Halle-Wittenberg, Institute of Agricultural and Nutritional Sciences, Halle (Saale), Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ivo Grosse
2Martin Luther University Halle-Wittenberg, Institute of Computer Science, Halle (Saale), Germany
7German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Combining transcriptome data of biological processes or response to stimuli with evolutionary information such as the phylogenetic conservation of genes or their sequence divergence rates enables the investigation of evolutionary constraints on these processes or responses. Such phylotranscriptomic analyses recently unraveled that mid-developmental transcriptomes of fly, fish, and cress were dominated by evolutionarily conserved genes and genes under negative selection and thus recapitulated the developmental hourglass on the transcriptomic level. Here, we present a protocol for performing phylotranscriptomic analyses on any biological process of interest. When applying this protocol, users are capable of detecting different evolutionary constraints acting on different stages of the biological process of interest in any species. For each step of the protocol, modular and easy-to-use open-source software tools are provided, which enable a broad range of scientists to apply phylotranscriptomic analyses to a wide spectrum of biological questions.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Back to top
PreviousNext
Posted May 03, 2016.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Capturing Evolutionary Signatures in Transcriptomes with myTAI
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Capturing Evolutionary Signatures in Transcriptomes with myTAI
Hajk-Georg Drost, Alexander Gabel, Tomislav Domazet-Lošo, Marcel Quint, Ivo Grosse
bioRxiv 051565; doi: https://doi.org/10.1101/051565
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Capturing Evolutionary Signatures in Transcriptomes with myTAI
Hajk-Georg Drost, Alexander Gabel, Tomislav Domazet-Lošo, Marcel Quint, Ivo Grosse
bioRxiv 051565; doi: https://doi.org/10.1101/051565

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Genomics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4239)
  • Biochemistry (9172)
  • Bioengineering (6804)
  • Bioinformatics (24064)
  • Biophysics (12155)
  • Cancer Biology (9564)
  • Cell Biology (13825)
  • Clinical Trials (138)
  • Developmental Biology (7658)
  • Ecology (11737)
  • Epidemiology (2066)
  • Evolutionary Biology (15541)
  • Genetics (10672)
  • Genomics (14359)
  • Immunology (9511)
  • Microbiology (22901)
  • Molecular Biology (9129)
  • Neuroscience (49113)
  • Paleontology (357)
  • Pathology (1487)
  • Pharmacology and Toxicology (2583)
  • Physiology (3851)
  • Plant Biology (8351)
  • Scientific Communication and Education (1473)
  • Synthetic Biology (2301)
  • Systems Biology (6205)
  • Zoology (1302)