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A Rice Gene of De Novo Origin Negatively Regulates Pathogen-Induced Defense Response

Overview of attention for article published in PLOS ONE, February 2009
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Title
A Rice Gene of De Novo Origin Negatively Regulates Pathogen-Induced Defense Response
Published in
PLOS ONE, February 2009
DOI 10.1371/journal.pone.0004603
Pubmed ID
Authors

Wenfei Xiao, Hongbo Liu, Yu Li, Xianghua Li, Caiguo Xu, Manyuan Long, Shiping Wang

Abstract

How defense genes originated with the evolution of their specific pathogen-responsive traits remains an important problem. It is generally known that a form of duplication can generate new genes, suggesting that a new gene usually evolves from an ancestral gene. However, we show that a new defense gene in plants may evolve by de novo origination, resulting in sophisticated disease-resistant functions in rice. Analyses of gene evolution showed that this new gene, OsDR10, had homologs only in the closest relative, Leersia genus, but not other subfamilies of the grass family; therefore, it is a rice tribe-specific gene that may have originated de novo in the tribe. We further show that this gene may evolve a highly conservative rice-specific function that contributes to the regulation difference between rice and other plant species in response to pathogen infections. Biologic analyses including gene silencing, pathologic analysis, and mutant characterization by transformation showed that the OsDR10-suppressed plants enhanced resistance to a broad spectrum of Xanthomonas oryzae pv. oryzae strains, which cause bacterial blight disease. This enhanced disease resistance was accompanied by increased accumulation of endogenous salicylic acid (SA) and suppressed accumulation of endogenous jasmonic acid (JA) as well as modified expression of a subset of defense-responsive genes functioning both upstream and downstream of SA and JA. These data and analyses provide fresh insights into the new biologic and evolutionary processes of a de novo gene recruited rapidly.

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Geographical breakdown

Country Count As %
France 2 2%
Denmark 2 2%
Indonesia 1 1%
Ireland 1 1%
Portugal 1 1%
Unknown 86 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 31%
Researcher 21 23%
Student > Master 9 10%
Student > Bachelor 6 6%
Student > Doctoral Student 5 5%
Other 11 12%
Unknown 12 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 61%
Biochemistry, Genetics and Molecular Biology 19 20%
Computer Science 2 2%
Unspecified 1 1%
Social Sciences 1 1%
Other 1 1%
Unknown 12 13%