RESUMO
Gene co-expression analysis has emerged in the past 5 years as a powerful tool for gene function prediction. In essence, co-expression analysis asks the question 'what are the genes that are co-expressed, that is, those that show similar expression profiles across many experiments, with my gene of interest?'. Genes that are highly co-expressed may be involved in the biological process or processes of the query gene. This review describes the tools that are available for performing such analyses, how each of these perform, and also discusses statistical issues including how normalization of gene expression data can influence co-expression results, calculation of co-expression scores and P values, and the influence of data sets used for co-expression analysis. Finally, examples from the literature will be presented, wherein co-expression has been used to corroborate and discover various aspects of plant biology.
Assuntos
Biologia Computacional , Bases de Dados Genéticas , Perfilação da Expressão Gênica/métodos , Plantas/genética , Perfilação da Expressão Gênica/estatística & dados numéricos , Genes de Plantas , Análise de Sequência com Séries de Oligonucleotídeos/métodos , Análise de Sequência com Séries de Oligonucleotídeos/estatística & dados numéricosRESUMO
Plants have developed sophisticated gravity sensing mechanisms to interpret environmental signals that are vital for optimum plant growth. Loss of SHOOT GRAVITROPISM 5 (SGR5) gene function has been shown to affect the gravitropic response of Arabidopsis inflorescence stems. SGR5 is a member of the INDETERMINATE DOMAIN (IDD) zinc finger protein family of putative transcription factors. As part of an ongoing functional analysis of Arabidopsis IDD genes (AtIDD) we have extended the characterisation of SGR5, and show that gravity sensing amyloplasts in the shoot endodermis of sgr5 mutants sediment more slowly than wild type, suggesting a defect in gravity perception. This is correlated with lower amyloplast starch levels, which may account for the reduced gravitropic sensitivity in sgr5. Further, we find that sgr5 mutants have a severely attenuated stem circumnutation movement typified by a reduced amplitude and an decreased periodicity. adg1-1 and sex1-1 mutants, which contain no starch or increased starch, respectively, also show alterations in the amplitude and period of circumnutation. Together these results suggest that plant growth movement may depend on starch levels and/or gravity sensing. Overall, we propose that loss of SGR5 regulatory activity affects starch accumulation in Arabidopsis shoot tissues and causes decreased sensitivity to gravity and diminished circumnutational movements.
Assuntos
Proteínas de Arabidopsis/genética , Arabidopsis/crescimento & desenvolvimento , Proteínas de Transporte/genética , Gravitropismo/genética , Mutação , Plastídeos/fisiologia , Amido/metabolismo , Alelos , Arabidopsis/genética , Arabidopsis/metabolismo , Proteínas de Arabidopsis/fisiologia , Proteínas de Transporte/fisiologia , Regulação da Expressão Gênica de Plantas , Gravitropismo/fisiologia , Fenótipo , Brotos de Planta/genética , Brotos de Planta/crescimento & desenvolvimento , Brotos de Planta/metabolismo , Plastídeos/metabolismo , Plastídeos/ultraestruturaRESUMO
BACKGROUND: The plant hormone auxin exerts many of its effects on growth and development by controlling transcription of downstream genes. The Arabidopsis gene AXR3/IAA17 encodes a member of the Aux/IAA family of auxin responsive transcriptional repressors. Semi-dominant mutations in AXR3 result in an increased amplitude of auxin responses due to hyperstabilisation of the encoded protein. The aim of this study was to identify novel genes involved in auxin signal transduction by screening for second site mutations that modify the axr3-1 gain-of-function phenotype. RESULTS: We present the isolation of the partial suppressor of axr3-1 (pax1-1) mutant, which partially suppresses almost every aspect of the axr3-1 phenotype, and that of the weaker axr3-3 allele. axr3-1 protein turnover does not appear to be altered by pax1-1. However, expression of an AXR3::GUS reporter is reduced in a pax1-1 background, suggesting that PAX1 positively regulates AXR3 transcription. The pax1-1 mutation also affects the phenotypes conferred by stabilising mutations in other Aux/IAA proteins; however, the interactions are more complex than with axr3-1. CONCLUSION: We propose that PAX1 influences auxin response via its effects on AXR3 expression and that it regulates other Aux/IAAs secondarily.