Frontiers in Plant Science · 2013 · 27 citations · 81 references
Plant GeneticsBotanyPhotobiologyGeneticsGenomicsOptogeneticsPlant GenomicsArabidopsis Transcription FactorsPhototropinPlant DevelopmentPlant Development EvolutionBiosynthesisPhotosynthesisPhotomorphogenesisGenetic VariationGene EvolutionGene ExpressionFunctional GenomicsBiologyNatural SciencesEvolutionary BiologyGene Co-expression NetworksDivergence TheorySystems BiologyMedicinePlant Physiology
Phototrophic eukaryotes are among the most successful organisms on Earth due to their unparalleled efficiency at capturing light energy and fixing carbon dioxide to produce organic molecules. A conserved and efficient network of light-dependent regulatory modules could be at the bases of this success. This regulatory system conferred early advantages to phototrophic eukaryotes that allowed for specialization, complex developmental processes and modern plant characteristics. We have studied light-dependent gene regulatory modules from algae to plants employing integrative-omics approaches based on gene co-expression networks. Our study reveals some remarkably conserved ways in which eukaryotic phototrophs deal with day length and light signaling. Here we describe how a family of Arabidopsis transcription factors involved in photoperiod response has evolved from a single algal gene according to the innovation, amplification and divergence theory of gene evolution by duplication. These modifications of the gene co-expression networks from the ancient unicellular green algae Chlamydomonas reinhardtii to the modern brassica Arabidopsis thaliana may hint on the evolution and specialization of plants and other organisms.
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MUSCLE: multiple sequence alignment with high accuracy and high throughput
R. C. Edgar · Nucleic Acids Research · 2004 · 45.3K citations · Full text
Koichiro Tamura, Daniel G. Peterson, Nora Peterson et al. · Molecular Biology and Evolution · 2011 · 40.1K citations · Full text
Maximum Parsimony Methods, Comparative Genomics, Genetics +20
Emergence of Scaling in Random Networks
Albert-Ĺaszló Barabási, Réka Albert · Science · 1999 · 35.7K citations · Full text