We are interested in the evolution of plants sensu lato - i.e., the photosynthetic eukaryotes.
A main focus is on the genome of the moss, Physcomitrella patens.
Methods encompass molecular phylogeny, phylogenomics and comparative genomics.
In terms of systems biology we are interested in gene regulatory networks.
Bryophyta in the Tree of Life & worldwide distribution of Funariaceae
Other genomes we're involved with: Selaginella moellendorffii / Ectocarpus siliculosus / Glomus intraradices / Ceratodon purpureus
list of publications
hosted locally (including PDFs)
@ Google Scholar (sorted by # of citations)
@ PubMed (sorted chronologically)
| General tools and resources | P. patens resources and links |
ATP - ambiguous mt/pt protein targeting predictor |
The P. patens genome browser & other resources @ cosmoss.org ![]() |
| KeyS - software for paralog clustering and Ks distribution plots (please contact Stefan Rensing) Rensing SA, Ick J, Fawcett JA, Lang D, Zimmer A, Van de Peer Y, Reski R (2007) An ancient genome duplication contributed to the abundance of metabolic genes in the moss Physcomitrella patens. BMC Evol Biol 7:130 |
The P. patens genome @ JGI / NCBI |
PlanTAPDB - plant transcription associated proteins |
Phylogenetic trees of several gene families Rensing SA, Lang D, Zimmer AD et al. (2008) The genome of the moss Physcomitrella patens reveals evolutionary insights into the conquest of land by plants. Science 319:64-69 |
| SSR markers and P. patens ecotypes von Stackelberg M, Rensing SA and Reski R (2006) Identification of genic moss SSR markers and a comparative analysis of twenty-four algal and plant gene indices reveal species-specific rather than group-specific characteristics of microsatellites. BMC Plant Biology 6:9 |
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| SVM-based splice site prediction for P. patens Rensing SA, Fritzowsky D, Lang D and Reski R (2005) Protein encoding genes in an ancient plant: analysis of codon usage, retained genes and splice sites in a moss, Physcomitrella patens. BMC Genomics 6:43 |
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| P. patens UTR repeats Rensing SA, Lang D and Reski R (2003) In silico prediction of UTR repeats using clustered EST data. In: Proceedings of the German Conference on Bioinformatics 2003, Mewes H-W, Heun V, Frishman D, Kramer S (eds.), pp 117-122, Belleville Verlag Michael Farin, Munich, Germany |
We are grateful for funding by