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Phylogenetic profiling of the Arabidopsis thaliana proteome:: what proteins distinguish plants from other organisms? -: art. no. R53
被引:44
作者:

Gutiérrez, RA
论文数: 0 引用数: 0
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机构: Michigan State Univ, Dept Energy, Plant Res Lab, E Lansing, MI 48824 USA

Green, PJ
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h-index: 0
机构: Michigan State Univ, Dept Energy, Plant Res Lab, E Lansing, MI 48824 USA

Keegstra, K
论文数: 0 引用数: 0
h-index: 0
机构: Michigan State Univ, Dept Energy, Plant Res Lab, E Lansing, MI 48824 USA

Ohlrogge, JB
论文数: 0 引用数: 0
h-index: 0
机构: Michigan State Univ, Dept Energy, Plant Res Lab, E Lansing, MI 48824 USA
机构:
[1] Michigan State Univ, Dept Energy, Plant Res Lab, E Lansing, MI 48824 USA
[2] Michigan State Univ, Dept Plant Biol, E Lansing, MI 48824 USA
[3] Univ Delaware, Delaware Biotechnol Inst, Newark, DE 19711 USA
基金:
美国国家科学基金会;
关键词:
D O I:
10.1186/gb-2004-5-8-r53
中图分类号:
Q81 [生物工程学(生物技术)];
Q93 [微生物学];
学科分类号:
071005 ;
0836 ;
090102 ;
100705 ;
摘要:
Background: The availability of the complete genome sequence of Arabidopsis thaliana together with those of other organisms provides an opportunity to decipher the genetic factors that define plant form and function. To begin this task, we have classified the nuclear protein-coding genes of Arabidopsis thaliana on the basis of their pattern of sequence similarity to organisms across the three domains of life. Results: We identified 3,848 Arabidopsis proteins that are likely to be found solely within the plant lineage. More than half of these plant-specific proteins are of unknown function, emphasizing the general lack of knowledge of processes unique to plants. Plant-specific proteins that are membrane-associated and/or targeted to the mitochondria or chloroplasts are the most poorly characterized. Analyses of microarray data indicate that genes coding for plant-specific proteins, but not evolutionarily conserved proteins, are more likely to be expressed in an organ-specific manner. A large proportion (13%) of plant-specific proteins are transcription factors, whereas other basic cellular processes are under-represented, suggesting that evolution of plant-specific control of gene expression contributed to making plants different from other eukaryotes. Conclusions: We identified and characterized the Arabidopsis proteins that are most likely to be plant-specific. Our results provide a genome-wide assessment that supports the hypothesis that evolution of higher plant complexity and diversity is related to the evolution of regulatory mechanisms. Because proteins that are unique to the green plant lineage will not be studied in other model systems, they should be attractive priorities for future studies.
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