| Literature DB >> 18079367 |
Stefan A Rensing1, Daniel Lang, Andreas D Zimmer, Astrid Terry, Asaf Salamov, Harris Shapiro, Tomoaki Nishiyama, Pierre-François Perroud, Erika A Lindquist, Yasuko Kamisugi, Takako Tanahashi, Keiko Sakakibara, Tomomichi Fujita, Kazuko Oishi, Tadasu Shin-I, Yoko Kuroki, Atsushi Toyoda, Yutaka Suzuki, Shin-Ichi Hashimoto, Kazuo Yamaguchi, Sumio Sugano, Yuji Kohara, Asao Fujiyama, Aldwin Anterola, Setsuyuki Aoki, Neil Ashton, W Brad Barbazuk, Elizabeth Barker, Jeffrey L Bennetzen, Robert Blankenship, Sung Hyun Cho, Susan K Dutcher, Mark Estelle, Jeffrey A Fawcett, Heidrun Gundlach, Kousuke Hanada, Alexander Heyl, Karen A Hicks, Jon Hughes, Martin Lohr, Klaus Mayer, Alexander Melkozernov, Takashi Murata, David R Nelson, Birgit Pils, Michael Prigge, Bernd Reiss, Tanya Renner, Stephane Rombauts, Paul J Rushton, Anton Sanderfoot, Gabriele Schween, Shin-Han Shiu, Kurt Stueber, Frederica L Theodoulou, Hank Tu, Yves Van de Peer, Paul J Verrier, Elizabeth Waters, Andrew Wood, Lixing Yang, David Cove, Andrew C Cuming, Mitsuyasu Hasebe, Susan Lucas, Brent D Mishler, Ralf Reski, Igor V Grigoriev, Ralph S Quatrano, Jeffrey L Boore.
Abstract
We report the draft genome sequence of the model moss Physcomitrella patens and compare its features with those of flowering plants, from which it is separated by more than 400 million years, and unicellular aquatic algae. This comparison reveals genomic changes concomitant with the evolutionary movement to land, including a general increase in gene family complexity; loss of genes associated with aquatic environments (e.g., flagellar arms); acquisition of genes for tolerating terrestrial stresses (e.g., variation in temperature and water availability); and the development of the auxin and abscisic acid signaling pathways for coordinating multicellular growth and dehydration response. The Physcomitrella genome provides a resource for phylogenetic inferences about gene function and for experimental analysis of plant processes through this plant's unique facility for reverse genetics.Entities:
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Year: 2007 PMID： 18079367 DOI： 10.1126/science.1150646
Source DB: PubMed Journal: Science ISSN： 0036-8075 Impact factor: 47.728