Cover image for Evolutionary Genomics and Systems Biology.
Evolutionary Genomics and Systems Biology.
Title:
Evolutionary Genomics and Systems Biology.
Author:
Caetano-Anolles, Gustavo.
ISBN:
9780470570401
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (520 pages)
Contents:
Evolutionary Genomics and Systems Biology -- Contents -- Preface -- Contributors -- Part I Evolution of Life -- 1. Evolutionary Genomics Leads the Way -- 1.1 Introduction -- 1.2 Evolution and the Power of Genomes -- 1.3 The Problem of Deep Phylogeny and "The Tree" -- 1.4 Fred, the Last Common Ancestor of Modern Eukaryotes -- 1.5 Eukaryote Origins: Continuity from the RNA World? -- 1.6 Minimal Genomes and Reductive Evolution -- 1.7 Evolutionary Genomics for the Future -- References -- 2. Current Approaches to Phylogenomic Reconstruction -- 2.1 Phylogenomics and Supermatrices -- 2.2 Phylogenetic Signal Versus Nonphylogenetic Signal -- 2.3 Probabilistic Models and Nonphylogenetic Signal -- 2.3.1 Homogeneous Models -- 2.3.2 Handling of Rate Signal -- 2.3.3 Handling of Compositional Signal -- 2.3.4 Other Model Violations -- 2.3.5 Future Developments -- 2.4 Reduction of Nonphylogenetic Signal Under Fixed Models -- 2.4.1 Variations in Taxon Sampling -- 2.4.2 Recoding and Removal of Offending Data -- 2.5 CAT Model -- 2.6 Case Study: Cambrian Explosion -- 2.7 Conclusion -- References -- 3. The Universal Tree of Life and the Last Universal Cellular Ancestor: Revolution and Counterrevolutions -- 3.1 Introduction -- 3.2 The Woesian Revolution -- 3.3 A Rampant "Prokaryotic" Counterrevolution -- 3.4 How to Polarize Characters Without a Robust Root? -- 3.5 The Hidden Root: When the Weather Became Cloudy -- 3.6 LUCA and Its Companions -- 3.7 The Problem of Horizontal Gene Transfer and Ancient Phylogenies: Trees Versus Gene Webs -- 3.8 The Nature of the RNA World -- 3.9 The DNA Replication Paradox and the Nature of LUCA -- 3.10 When Viruses Find Their Way into the Universal Tree of Life -- 3.11 Future Directions -- References -- 4. Eukaryote Evolution: The Importance of the Stem Group -- 4.1 Introduction.

4.1.1 What is Significant About the Origin of the Eukaryote Cell? -- 4.2 Interpreting Trees -- 4.3 Moving Beyond the Deep Roots of Eukaryotes -- 4.3.1 Origin of the Mitochondrion -- 4.3.2 Stepwise Development of Mitochondria -- 4.3.3 Intron Proliferation and Eukaryote Origins -- 4.4 Concluding Remarks -- References -- 5. The Role of Information in Evolutionary Genomics of Bacteria -- 5.1 Introduction -- 5.2 Revisiting Information -- 5.3 Ubiquitous Functions for Life -- 5.4 The Cenome and the Paleome -- 5.5 Functions Corresponding to Nonessential Persistent Genes -- 5.6 A Ubiquitous Information-Gaining Process: Making a Young Organism from an Aged One -- 5.7 Provisional Conclusion -- Acknowledgments -- References -- 6. Evolutionary Genomics of Yeasts -- 6.1 Introduction -- 6.2 A Brief History of Hemiascomycetous Yeast Genomics -- 6.3 The Scientific Attractiveness of S. cerevisiae -- 6.3.1 Functional Genomics -- 6.3.2 Genome Duplication -- 6.3.3 A Bunch of Fermentative Engines -- 6.3.4 Speciation and Species Definition -- 6.4 Evolutionary Genomics of Hemiascomycetes -- 6.4.1 Distinct and Specific Genome Organization of Three Major Evolutionary Subdivisions of Hemiascomycetes -- 6.4.2 Comparison of Proteins: Pan- and Core-Proteomes -- 6.4.3 Genome Redundancy and Paralogues -- 6.4.4 Conservation of Synteny -- 6.4.5 Genes for Noncoding RNAs, Introns, and Genetic Code Variation -- 6.4.6 Sex, Transposons, Plasmids, Inteins, and Horizontal Gene Transfer -- 6.4.7 Mitochondrial Genomes and NUMTs -- 6.5 Surprises -- 6.6 What Next? -- Acknowledgments -- Epilogue -- References -- Part II Evolution of Molecular Repertoires -- 7. Genotypes and Phenotypes in the Evolution of Molecules -- 7.1 The Landscape Paradigm -- 7.2 Molecular Phenotypes -- 7.2.1 Protein Structures -- 7.2.2 Nucleic Acid Structures -- 7.3 The RNA Model -- 7.3.1 RNA Replication and Mutation.

7.3.2 RNA Secondary Structures -- 7.3.3 Neutrality and Its Consequences -- 7.3.4 Stochastic Effects in RNA Evolution -- 7.3.5 Beyond the One Sequence-One Structure Paradigm -- 7.4 Conclusions and Outlook -- Acknowledgments -- References -- 8. Genome Evolution Studied Through Protein Structure -- 8.1 Introduction -- 8.2 Structural Granularity and Its Implications -- 8.3 Protein Domains in the Study of Genome Rearrangements -- 8.4 Protein Domain Gain and Loss -- 8.5 And in the Beginning . . . -- 8.6 But Let Us Not Forget the Influence of the Environment -- 8.7 Conclusions -- References -- 9. Chromosomal Rearrangements in Evolution -- 9.1 Introduction -- 9.2 Genome Representation -- 9.3 Constructing Genome Permutations from Sequence Data -- 9.4 Genomic Distances -- 9.4.1 Model-Free Distances -- 9.4.2 Rearrangement-Based Distances -- 9.5 Reconstruction of Ancestors and Evolutionary Scenarios -- 9.5.1 Model-Free Reconstruction Algorithms -- 9.5.2 Rearrangement-Based Reconstruction Algorithms -- 9.6 Recent Applications on Large Genomes -- 9.7 Challenges and Promising New Approaches -- Acknowledgment -- References -- 10. Molecular Structure and Evolution of Genomes -- 10.1 Introduction -- 10.2 Overview of Considerations in Studying Protein Evolution -- 10.3 Function and Evolutionary Genomics -- 10.3.1 Deciphering Complexities of Protein Evolution -- 10.3.2 The Future of Modeling Protein Evolution: Merging Realism with Tractability -- 10.3.3 The Effect of Increasing Taxon Sampling and Sequence Biodiversity -- 10.3.4 Removing the Mutational Noise and Context-Dependent Biases from Protein Evolution -- 10.3.5 Where is Protein Evolution Going? -- 10.3.6 Detecting Adaptation and Functional Innovation -- 10.4 Integrating Inferences to Detect and Interpret Adaptation: An Example with Snake Metabolic Proteins.

10.4.1 Snake Metabolic Proteins-Integration of Inferences for Adaptation -- 10.4.2 Detection of Accelerated Nonsynonymous Change -- 10.4.3 Changes at Conserved Sites and Coevolutionary Signal -- 10.4.4 Integrating Evolutionary Inferences with Structure and Function Information -- 10.4.5 Further Evidence of Adaptation from Molecular Convergence -- 10.4.6 Integrating Inferences with Possible Causal Factors -- 10.5 Conclusion -- References -- 11. The Evolution of Protein Material Costs -- 11.1 Introduction -- 11.2 Protein Material Costs -- 11.3 An Example: Proteomic Sulfur Sparing -- 11.4 Episodic Nutrient Scarcity Can Shape Protein Material Costs -- 11.5 Highly Expressed Gene Products Often Exhibit Reduced Material Costs -- 11.6 Material Costs and the Evolution of Genomes -- 11.7 Material Costs and Other Costs of Making Proteins -- 11.8 Conclusions -- Acknowledgments -- References -- 12. Protein Domains as Evolutionary Units -- 12.1 Modular Protein Evolution -- 12.2 Domain-Based Homology Identification -- 12.2.1 Domain Architecture Similarity -- 12.2.2 Domain Resources and Domain-Based Search -- 12.2.3 Deciphering Circular Permutations with Domains -- 12.3 Domains in Genomics and Proteomics -- 12.3.1 Building Domain Trees -- 12.4 The Coverage Problem -- 12.5 Conclusion -- References -- 13. Domain Family Analyses to Understand Protein Function Evolution -- 13.1 Introduction -- 13.2 Universal Domain Structure Families Identified in the Last Universal Common Ancestor -- 13.3 Some Domain Families Recur More Frequently and Are Structurally Very Diverse -- 13.4 Correlation of Structural Diversity in Superfamilies with Functional Diversity -- 13.5 To What Extent Does Function Vary Between Homologous? -- 13.5.1 Phylogenetic Analysis of Protein Families -- 13.5.2 Structural Domain Characterization of Clusters of Orthologous Genes Using CATH.

13.5.3 Evolution of (COGs) Function Within CATH Superfamilies -- 13.5.4 Resolving Ambiguous Evolutionary Scenarios Between Parent and Child COGs in a CATH Superfamily -- 13.5.5 Relationship Between Domain Architecture Rearrangement and Functional Divergence Within CATH Superfamilies -- 13.6 How Safely Can Function Be Inherited Between Homologues? -- 13.7 How Are Domain Families Distributed in Protein Complexes? -- References -- 14. Noncoding RNA -- 14.1 Introduction -- 14.2 Ancient RNAs -- 14.2.1 RNase P and RNase MRP RNA -- 14.2.2 Signal Recognition Particle RNA -- 14.2.3 snoRNAs -- 14.3 Domain-Specific RNAs -- 14.3.1 Telomerase RNA -- 14.3.2 Spliceosomal snRNAs -- 14.3.3 U7 snRNA -- 14.3.4 tmRNA -- 14.3.5 6S RNA -- 14.4 Conserved ncRNAs with Limited Distribution -- 14.4.1 Y RNAs -- 14.4.2 Vault RNAs -- 14.4.3 7SK RNA -- 14.4.4 SmY RNA -- 14.4.5 Bacterial RNAs -- 14.4.6 A Zoo of Diverse Examples -- 14.5 ncRNAs from Repeats and Pseudogenes -- 14.6 mRNA-like ncRNAs -- 14.6.1 Dosage Compensation -- 14.6.2 Imprinting -- 14.6.3 Stress Response -- 14.6.4 Transcriptional Regulators -- 14.7 RNAs with Dual Functions -- 14.7.1 RNAIII -- 14.7.2 SgrS -- 14.7.3 SRA/SRAP -- 14.7.4 Enod40 -- 14.8 Concluding Remarks -- Acknowledgments -- References -- 15. Evolutionary Genomics of microRNAs and Their Relatives -- 15.1 Introduction -- 15.2 The Small RNA Zoo -- 15.2.1 Endogenous siRNAs -- 15.2.2 piRNA -- 15.2.3 rasiRNA -- 15.2.4 "Exotic" Small RNA Species -- 15.3 Small RNA Biogenesis -- 15.3.1 Components of the Small RNA Processing Machinery -- 15.3.2 MicroRNA Biogenesis -- 15.3.3 Biogenesis of Other Small RNAs -- 15.3.4 Three Main Mechanisms, Same Global Effect on Gene Expression -- 15.4 Computational microRNA Prediction -- 15.5 microRNA Targets -- 15.5.1 How Many Targets? -- 15.5.2 Target Prediction -- 15.5.3 Targets and Polymorphisms -- 15.6 Evolution of microRNAs.

15.6.1 Animal microRNAs.
Abstract:
A comprehensive, authoritative look at an emergent area in post-genomic science Evolutionary genomics is an up-and-coming, complex field that attempts to explain the biocomplexity of the living world. Evolutionary Genomics and Systems Biology is the first full-length book to blend established and emerging concepts in bioinformatics, evolution, genomics, and structural biology, with the integrative views of network and systems biology. Three key aspects of evolutionary genomics and systems biology are covered in clear detail: the study of genomic history, i.e., understanding organismal evolution at the genomic level; the study of macromolecular complements, which encompasses the evolution of the protein and RNA machinery that propels life; and the evolutionary and dynamic study of wiring diagrams-macromolecular components in interaction-in the context of genomic complements. The book also features: A solid, comprehensive treatment of phylogenomics, the evolution of genomes, and the evolution of biological networks, within the framework of systems biology A special section on RNA biology-translation, evolution of structure, and micro RNA and regulation of gene expression Chapters on the mapping of genotypes to phenotypes, the role of information in biology, protein architecture and biological function, chromosomal rearrangements, and biological networks and disease Contributions by leading authorities on each topic Evolutionary Genomics and Systems Biology is an ideal book for students and professionals in genomics, bioinformatics, evolution, structural biology, complexity, origins of life, systematic biology, and organismal diversity, as well as those individuals interested in aspects of biological sciences as they interface with chemistry, physics, and computer science and engineering.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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