1.

Record Nr.

UNINA9910686788603321

Titolo

Microbial Genomic Islands in Adaptation and Pathogenicity / / Indra Mani [and three others], editors

Pubbl/distr/stampa

Singapore : , : Springer, Springer Nature Singapore Pte Ltd, , [2023]

©2023

ISBN

981-19-9342-4

Edizione

[First edition.]

Descrizione fisica

1 online resource (XXIII, 356 pages, 1 illustration) : illustrations

Disciplina

572.8629

Soggetti

Microbial genomics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Chapter 1. An introduction of microbial genomic islands for evolutionary adaptation and pathogenicity -- Chapter 2. Computation tools for prediction and analysis of genomic islands -- Chapter 3. An overview of genomic islands’ main features and computational prediction: the CMNR group of bacteria as a case study -- Chapter 4. Microbial genomic island discovery, visualization and analysis -- Chapter 5. Genomic islands in bacterial genome evolution and speciation -- Chapter 6. Genomic islands in the gut microbiome: current knowledge and the application in the probiotics field -- Chapter 7. Genomic islands in nutritional fitness and adaptation -- Chapter 8. Genomic islands involved in iron uptake -- Chapter 9. Genomic islands in uropathogeneic E. coli -- Chapter 10. Genomic islands in Helicobacter species -- Chapter 11. Genomic islands in Staphylococcus -- Chapter 12. Genomic islands in Pseudomonas species -- Chapter 13. Genomic islands in Klebsiella pneumonia -- Chapter 14. Molecular Insights into Genomic Islands and Evolution of Vibrio cholerae -- Chapter 15. Genomic islands in marine bacteria -- Chapter 16. Challenges in Eventing Horizontal Gene Transfer -- chapter 17. Artificial Intelligence and machine learning for prediction and analysis of genomic islands.

Sommario/riassunto

This book elucidates the role of microbial genomic islands (GEIs) in genome stability, plasticity, evolutionary adaptation, and pathogenicity in the bacterial population. The initial chapters of the book present



tools, including bioinformatics, artificial intelligence, machine learning, next-generation sequencing, and molecular biology techniques, for the analysis of the genomic islands. The book also discusses the importance of genomic islands in bacterial speciation, acquisition of genes related to resistome, nitrogen fixation, mobilomes, and nutritional fitness and adaptation. It provides recent advances in understanding microbial genomic islands' distribution, evolution, and mechanistic modes of behavior in pathogenic, non-pathogenic, and environmental species. This book is a valuable source for beginners in molecular microbiology, students, researchers, clinicians, stakeholders, and policymakers interested in understanding the role of GEIs in the adaptive evolution of microorganisms.