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Trends in Genetics
Article . 2004 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Plants, pairing and phenotypes – two's company?

Authors: Grant-Downton, RT; Dickinson, H;

Plants, pairing and phenotypes – two's company?

Abstract

An RNA-based communication network appears to play a crucial role in regulating gene expression and in repressing viral and transposon sequences in plant genomes. In this article, we consider the evidence that gene expression might also be controlled epigenetically at a level other than non-coding RNA species-chromosome pairing. This epigenetic communication between sequences might be based--as it is in other organisms--on the physical pairing between homologues and the transfer of information between corresponding epigenetic landscapes. We suggest that paramutation might represent just one--albeit extreme and obvious--facet of a pairing-based gene expression regulation system in plants. Further exciting evidence for pairing occurring between homologues in plants is now mounting. An appreciation that pairing interactions might be important throughout plant development could assist in understanding phenomena such as endosperm imprinting, hybrid phenotypes and inbreeding depression.

Country
United Kingdom
Related Organizations
Keywords

Phenotype, Models, Genetic, Gene Expression Regulation, Plant, Mutation, Nucleic Acid Hybridization, RNA, Genes, Plant, Alleles, Chromatin, Genome, Plant

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    26
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Average
Top 10%
Top 10%
Green