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Mutations in Microorganisms01:18

Mutations in Microorganisms

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Mutations are heritable changes in an organism’s genome involving alterations in the base sequence of DNA or RNA. These changes can influence cellular processes and phenotypic traits, potentially transforming the unaltered wild type into a mutant form. Such changes, termed forward mutations, are pivotal in shaping the genetic diversity of organisms.RNA viruses exhibit the highest mutation rates due to the absence of robust proofreading mechanisms during genome replication. In contrast,...
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Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Mutations01:35

Mutations

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Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...
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Mutations01:39

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Viral Mutations00:36

Viral Mutations

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A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
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Spontaneous and Induced Mutations01:30

Spontaneous and Induced Mutations

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Spontaneous mutations arise infrequently during DNA replication due to errors in the process. A key factor behind these errors is tautomeric shifts in nitrogenous bases, where bases transition from keto to enol forms or amino to imino forms. This shift can alter base-pairing rules, leading to mutations. Additionally, reactive oxygen species (ROS) arising from aerobic metabolism can damage DNA, resulting in depurination (loss of a purine base) or depyrimidination (loss of a pyrimidine base).
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Updated: Mar 2, 2026

Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli
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CliPME: la base de datos de mutaciones y expresión de bacterias patógenas clínicas

Hongxiang Xu1, Yu Huang1, Mingjun Zhang2

  • 1Institute of Modern Biopharmaceuticals, School of Life Sciences, Southwest University, Chongqing 400715, China.

Journal of genetics and genomics = Yi chuan xue bao
|February 28, 2026
PubMed
Resumen

Los investigadores desarrollaron CliPME, una plataforma para analizar mutaciones bacterianas y sus efectos. Ayuda a comprender la evolución microbiana y a desarrollar nuevas estrategias antimicrobianas contra patógenos como Mycobacterium tuberculosis.

Palabras clave:
Bacterias clínicasBase de datosExpresiónMutaciónpaquete qMut

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Área de la Ciencia:

  • Genómica bacteriana
  • Evolución microbiana
  • Bioinformática

Sus antecedentes:

  • Las bacterias patógenas evolucionan rápidamente debido a las interacciones humanas.
  • La secuenciación del genoma completo (WGS) ayuda al seguimiento de mutaciones, pero las herramientas para analizar patrones de mutaciones bacterianas e impactos funcionales son limitadas.
  • Las herramientas bioinformáticas existentes carecen de soluciones integrales para bacterias patógenas.

Objetivo del estudio:

  • Presentar CliPME, una plataforma integrada para la genómica bacteriana.
  • Combinar la detección de mutaciones, la predicción de efectos y el análisis de redes regulatorias para bacterias patógenas.
  • Proporcionar un recurso para decodificar la evolución de patógenos bacterianos e informar estrategias antimicrobianas.

Principales métodos:

  • Desarrollo de CliPME, una plataforma que integra la detección de mutaciones, la predicción de efectos y el análisis de redes regulatorias.
  • Creación de qMut, un paquete de R para el perfilado de mutaciones a gran escala.
  • Implementación de módulos funcionales: MutFinder, MutAnalyzer y ExpMiner para análisis a nivel poblacional, predicción funcional y relaciones de expresión génica.
  • Estudio de caso utilizando Mycobacterium tuberculosis (Mtb).

Principales resultados:

  • CliPME identificó con éxito mutaciones funcionalmente significativas en el factor de transcripción de Mtb Rv0324.
  • La validación experimental demostró un vínculo entre la variación genética de Rv0324 y los fenotipos adaptativos potenciales.
  • La plataforma integra el análisis de mutaciones a nivel poblacional, predicciones funcionales e información sobre la expresión génica.

Conclusiones:

  • CliPME proporciona una solución integral para analizar mutaciones genómicas bacterianas y sus consecuencias funcionales.
  • La plataforma ayuda a comprender los mecanismos evolutivos en patógenos bacterianos.
  • CliPME puede acelerar el desarrollo de estrategias antimicrobianas novedosas al traducir conocimientos genómicos.