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Coordination of Gene Expression Processes in Bacteria01:29

Coordination of Gene Expression Processes in Bacteria

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The DNA replication, transcription, and translation processes are intricately coupled in bacteria, allowing efficient gene expression and rapid protein synthesis. While this physical and functional coordination is advantageous, it introduces challenges that bacteria overcome through specific regulatory mechanisms.Coupling of Replication, Transcription, and TranslationThe coupling of replication, transcription, and translation is a hallmark of bacterial gene expression. As the replisome unwinds...
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Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
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Gene Duplication and Divergence02:37

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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
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Gene Evolution - Fast or Slow?02:05

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Gene Evolution - Fast or Slow?02:05

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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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Related Experiment Video

Updated: Dec 7, 2025

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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Linear Time Reconciliation With Bounded Transfers of Genes.

Daniele Tavernelli, Tiziana Calamoneri, Paola Vocca

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |September 28, 2020
    PubMed
    Summary
    This summary is machine-generated.

    Tree reconciliation, a method for studying gene and species tree evolution, can remain computationally linear even with gene transfers. This study introduces constrained horizontal gene transfers to maintain linear time complexity in evolutionary event analysis.

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    Area of Science:

    • Computational Biology
    • Evolutionary Biology
    • Bioinformatics

    Background:

    • Tree reconciliation analyzes gene and species tree evolution using the parsimony principle.
    • The standard model includes co-divergence, duplication, transfer, and loss (DTL), while a simpler model excludes transfers (DL).
    • The DTL model typically has a higher computational complexity (quadratic time) than the DL model (linear time).

    Purpose of the Study:

    • To investigate if computational complexity can be maintained linearly in tree reconciliation when including horizontal gene transfers.
    • To introduce constrained horizontal gene transfers to reduce computational cost.
    • To analyze the problem of optimally rooting trees within the reconciliation framework.

    Main Methods:

    • Introducing constraints on horizontal gene transfers, specifically limiting transfer length (k=2).
    • Developing algorithms to handle gene transfers between closely related species.
    • Extending reasoning to additional constraints and analyzing tree rooting problems.

    Main Results:

    • Proving that tree reconciliation with length-bounded gene transfers (k=2) remains computationally linear.
    • Demonstrating that the computational time does not necessarily increase to quadratic when incorporating gene transfers.
    • Achieving similar linear time complexity results for optimally rooting trees.

    Conclusions:

    • Constrained horizontal gene transfers do not inherently increase the computational complexity of tree reconciliation beyond linear time.
    • This research shows a practical way to include gene transfers in evolutionary analyses without a significant computational penalty.
    • The findings are relevant for efficient phylogenetic analysis and understanding gene flow in evolutionary history.