Literature DB >> 18029048

A phylostratigraphy approach to uncover the genomic history of major adaptations in metazoan lineages.

Tomislav Domazet-Loso1, Josip Brajković, Diethard Tautz.   

Abstract

Macroevolutionary trends traditionally are studied by fossil analysis, comparative morphology or evo-devo approaches. With the availability of genome sequences and associated data from an increasing diversity of taxa, it is now possible to add an additional level of analysis: genomic phylostratigraphy. As an example of this approach, we use a phylogenetic framework and embryo expression data from Drosophila to show that grouping genes by their phylogenetic origin can uncover footprints of important adaptive events in evolution.

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Year:  2007        PMID: 18029048     DOI: 10.1016/j.tig.2007.08.014

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  140 in total

1.  A phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns.

Authors:  Tomislav Domazet-Lošo; Diethard Tautz
Journal:  Nature       Date:  2010-12-09       Impact factor: 49.962

2.  The ancestral gene repertoire of animal stem cells.

Authors:  Alexandre Alié; Tetsutaro Hayashi; Itsuro Sugimura; Michaël Manuel; Wakana Sugano; Akira Mano; Nori Satoh; Kiyokazu Agata; Noriko Funayama
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-07       Impact factor: 11.205

Review 3.  The origin and evolution of chordate nervous systems.

Authors:  Linda Z Holland
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-12-19       Impact factor: 6.237

4.  Evaluating Phylostratigraphic Evidence for Widespread De Novo Gene Birth in Genome Evolution.

Authors:  Bryan A Moyers; Jianzhi Zhang
Journal:  Mol Biol Evol       Date:  2016-01-11       Impact factor: 16.240

Review 5.  The evolutionary origin of orphan genes.

Authors:  Diethard Tautz; Tomislav Domazet-Lošo
Journal:  Nat Rev Genet       Date:  2011-08-31       Impact factor: 53.242

6.  Phylostratigraphic bias creates spurious patterns of genome evolution.

Authors:  Bryan A Moyers; Jianzhi Zhang
Journal:  Mol Biol Evol       Date:  2014-10-13       Impact factor: 16.240

7.  Codon usage is associated with the evolutionary age of genes in metazoan genomes.

Authors:  Yosef Prat; Menachem Fromer; Nathan Linial; Michal Linial
Journal:  BMC Evol Biol       Date:  2009-12-08       Impact factor: 3.260

8.  Phylostratigraphic tracking of cancer genes suggests a link to the emergence of multicellularity in metazoa.

Authors:  Tomislav Domazet-Loso; Diethard Tautz
Journal:  BMC Biol       Date:  2010-05-21       Impact factor: 7.431

9.  Similarly strong purifying selection acts on human disease genes of all evolutionary ages.

Authors:  James J Cai; Elhanan Borenstein; Rong Chen; Dmitri A Petrov
Journal:  Genome Biol Evol       Date:  2009-05-27       Impact factor: 3.416

10.  Relaxed purifying selection and possibly high rate of adaptation in primate lineage-specific genes.

Authors:  James J Cai; Dmitri A Petrov
Journal:  Genome Biol Evol       Date:  2010-07-12       Impact factor: 3.416

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