Literature DB >> 11606705

Molecular evolution of the wound-induced serine protease inhibitor wip1 in Zea and related genera.

P Tiffin1, B S Gaut.   

Abstract

Plant defense mechanisms have been the subject of intensive investigation. However, little is known about their long-term evolutionary dynamics. We investigated the molecular diversity of a wound-induced serine protease inhibitor, wip1, in the genus Zea, as well as the divergence of wip1 among four genera, Zea, Tripsacum, Sorghum, and Oryza, in order to gain insight into the long-term evolution of plant defense. The specific objectives of this study were to determine (1) whether wip1 has a history of positive or balancing selection, as has been shown for genes involved in plant defense against pathogens, and (2) if the evolutionary histories of wip1 inhibitory loops, which come into closest contact with proteases, differ from the evolutionary history of other parts of this gene. The Zea polymorphism data are consistent with a neutral evolutionary history. In contrast, relative-rate tests suggest a nonneutral evolutionary history. This inconsistency may indicate that selection acting on wip1 is episodic or that wip1 evolves in response to selection favoring novel alleles. We also detected significant heterogeneity in the evolutionary rates of the two inhibitory loops of wip1-one inhibitory loop is highly conserved, whereas the second has diverged rapidly. Because these two inhibitory loops are predicted to have very similar biochemical functions, the significantly different evolutionary histories suggest that these loops have different ecological functions.

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Year:  2001        PMID: 11606705     DOI: 10.1093/oxfordjournals.molbev.a003750

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  16 in total

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9.  Population genetic evidence for rapid changes in intraspecific diversity and allelic cycling of a specialist defense gene in Zea.

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Journal:  Genetics       Date:  2004-09       Impact factor: 4.562

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Journal:  BMC Bioinformatics       Date:  2009-08-11       Impact factor: 3.169

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