Microbial Comparative Genomics And Pangenomics New Tools Approaches And Insights Into Gene And Genome Evolution
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Microbial Comparative Genomics and Pangenomics: New Tools, Approaches And Insights Into Gene and Genome Evolution
Author: Paulo Jorge Dias
language: en
Publisher: Frontiers Media SA
Release Date: 2024-11-11
Comparative Genomics is the field of knowledge dedicated to the analysis and comparison of genes and genomes. The scientific areas comprised in this field include subjects as diverse as (just naming a few): 1) the development of algorithms for the alignment of genes, whole genomes, short- and long sequencing reads, 2) the search for remote sequence similarity, 3) the discovery of motifs and sequence patterns, 4) the identification of gene families, 5) the detection of ortholog/paralog groups, 6) the reconstruction of evolutionary history of the genes, 7) the detection of signs of selective forces exerted over genes and genomes, 8) the reconstruction of ancestral DNA and genome sequences, 9) the detection and analysis of genome synteny, 10) the inference of ancestral gene order, among others. In addition, an important new sub-field of Comparative Genomics has emerged in the last decade, referred to as Pangenomics, making available improved tools to analyze the exponential genomic data accumulating since the development of Second- and Third-Generation Sequencing Technologies.
The Pangenome
This open access book offers the first comprehensive account of the pan-genome concept and its manifold implications. The realization that the genetic repertoire of a biological species always encompasses more than the genome of each individual is one of the earliest examples of big data in biology that opened biology to the unbounded. The study of genetic variation observed within a species challenges existing views and has profound consequences for our understanding of the fundamental mechanisms underpinning bacterial biology and evolution. The underlying rationale extends well beyond the initial prokaryotic focus to all kingdoms of life and evolves into similar concepts for metagenomes, phenomes and epigenomes. The book’s respective chapters address a range of topics, from the serendipitous emergence of the pan-genome concept and its impacts on the fields of microbiology, vaccinology and antimicrobial resistance, to the study of microbial communities, bioinformatic applications and mathematical models that tie in with complex systems and economic theory. Given its scope, the book will appeal to a broad readership interested in population dynamics, evolutionary biology and genomics.
Computational Genomics and Structural Bioinformatics in Microbial Science
Computational Genomics and Structural Bioinformatics in Microbial Science: Microbial Genomics (Volume 2) covers different aspects of microbial genomics, metagenomics, and functional studies of microbes through informative illustrations of current trends in computational tools and bioinformatics approach in environmental microbiology and clinical diagnosis. This book aims to provide readers with an overview of the microbial genome, computational genomics, and structural bioinformatics in microbial science, as well as the most recent developments in these fields. This book covers a range of topics, including the challenges and opportunities of computational epigenomics, bioinformatics tools for assessing metagenomic data, as well as computed comparative genomics and computational phenotyping of microorganisms relevant to agriculture. Microbial Genomics: Host Adaptation, virulence, and Evolution is a valuable resource for faculty members, researchers, and undergraduate and postgraduate students at universities, medical research labs, that are interested in microbial science specifically related to the microbial genome, computing genomics, and bioinformatics. - Provides informative illustrations of current trends in computational tools and bioinformatics approach - Presents bioinformatics of next generation sequencing in clinical microbiology diagnosis - Discusses structural bioinformatics and its applications