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The Moss Physcomitrella patens, a New Model Systemfor Functional Genomics

Guo Guang

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Abstract

The potential of moss as a model system to study plant biological process is associated with their relatively simple developmental pattern and the dominance of the haploid gametophyte in the life cycle. The moss Physcomitrella patens exhibits a very high rate of homologous recombination in its nuclear DNA, making gene targeting approaches in this plant as convenient as in yeast or in ES cells of mice. Sharing many biological features with higher plants and having many other advantages, the moss Physcomitrella patens will be an attractive model system for plant biology and functional genome analysis.

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What this paper is about

The potential of moss as a model system to study plant biological process is associated with their relatively simple developmental pattern and the dominance of the haploid gametophyte in the life cycle. The moss Physcomitrella patens exhibits a very high rate of homologous recombination in its nuclear DNA, making gene targeting approaches in this plant as convenient as in yeast or in ES cells of mice. Sharing many biological features with higher plants and having many other advantages, the moss Physcomitrella patens will be an attractive model system for plant biology and functional genome analysis.

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Available abstract

The potential of moss as a model system to study plant biological process is associated with their relatively simple developmental pattern and the dominance of the haploid gametophyte in the life cycle. The moss Physcomitrella patens exhibits a very high rate of homologous recombination in its nuclear DNA, making gene targeting approaches in this plant as convenient as in yeast or in ES cells of mice. Sharing many biological features with higher plants and having many other advantages, the moss Physcomitrella patens will be an attractive model system for plant biology and functional genome analysis.

Key concepts: Physcomitrella patens, Gametophyte, Biology, Moss, Homologous recombination, Protonema, Genomics, Functional genomics

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