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Prokaryotic Gene Structure and Organization01:28

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Prokaryotic genomes exhibit a streamlined organization of coding and non-coding regions essential for gene expression and protein synthesis. While coding regions contain the genetic instructions for proteins or functional RNAs, non-coding regions regulate the precise transcription and translation of these genes.Coding Regions: Proteins and RNAsThe primary coding regions, known as structural genes, include sequences transcribed into messenger RNA (mRNA) and ultimately translated into...
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While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies
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Evolutionary assembly patterns of prokaryotic genomes.

Maximilian O Press1, Christine Queitsch1, Elhanan Borenstein2

  • 1Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA;

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Summary

Prokaryotic evolution via horizontal gene transfer (HGT) is constrained by gene dependencies, revealing predictable functional assembly patterns. These constraints influence evolutionary paths, impacting metabolic and pathological phenotypes.

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Area of Science:

  • Evolutionary Biology
  • Genomics
  • Microbial Evolution

Background:

  • Evolutionary innovation occurs within genomic contexts that limit evolutionary trajectories.
  • Protein evolution is constrained by residue epistasis, while prokaryotic innovation often involves horizontal gene transfer (HGT).
  • The influence of ancestral genomic content on HGT and gene-level constraints remains under-characterized.

Purpose of the Study:

  • To systematically evaluate the evolutionary impact of gene-level constraints on HGT in prokaryotes.
  • To identify and characterize dependencies between genes influencing HGT events.
  • To understand if HGT-driven evolution follows predictable functional assembly patterns.

Main Methods:

  • Utilized probabilistic ancestral genome reconstructions from 634 extant prokaryotic genomes.
  • Developed a novel framework to detect evolutionary constraints on horizontal gene transfer (HGT) events.
  • Applied graph theory approaches to model gene dependencies and establish chronological precedence of function acquisition.

Main Results:

  • Identified 8228 directional gene dependencies, many reflecting known functional relationships (e.g., RuBisCO).
  • Demonstrated that specific genomic functions are acquired sequentially, suggesting functional assembly patterns govern prokaryotic evolution.
  • Showed these dependencies are universal across prokaryotes and can predict gene acquisition in ancestral genomes.

Conclusions:

  • Evolutionary innovation via HGT is significantly constrained by epistasis and historical contingency.
  • Prokaryotic evolution exhibits functional assembly patterns, similar to protein and phenotypic evolution.
  • The emergence of prokaryotic metabolic and pathological phenotypes may be predictable from current genomic data.