This book explores the intricate world of livestock sciences and production through the lens of systems biology. Offering a comprehensive exploration of both fundamental and advanced aspects, it unearths the potential of systems biology in the realm of livestock. The book presents 13 edited chapters on cutting-edge knowledge about systems biology and omics technology, showcasing genomics, transcriptomics, proteomics, metabolomics, and more. It illuminates the role of systems biology in livestock and disease management. Readers will learn about power of technologies that merge computational biology, nanobiotechnology, artificial intelligence, and single-cell sequencing. Each chapter is written by scientific experts and includes references for further reading.
Multi-scale Modeling Techniques: Explore how multi-scale modeling is shaping the future of system biology.
Livestock Viral Diseases: Gain insights into how systems biology is revolutionizing our understanding of livestock viral diseases.
Single Cell RNA-Sequencing: Understand the potential of this advanced technique in studying livestock animals at a cellular level.
This book is a timely resource for students and researchers, offering a pathway to comprehend the crucial role systems biology plays in sustainable livestock production and management.
The book covers 4 key themes:
Introduction to Systems Biology in Livestock Science: Uncover the foundation of integrating systems biology with omics data for animal scientists.Multi-scale Modeling Techniques: Explore how multi-scale modeling is shaping the future of system biology.
Livestock Viral Diseases: Gain insights into how systems biology is revolutionizing our understanding of livestock viral diseases.
Single Cell RNA-Sequencing: Understand the potential of this advanced technique in studying livestock animals at a cellular level.
This book is a timely resource for students and researchers, offering a pathway to comprehend the crucial role systems biology plays in sustainable livestock production and management.
Table of Contents
- Contents
- Foreword 1
- Foreword 2
- Preface
- About-The-Editors
- List of Contributors
- Omics Data for Animal Scientists
- Sandeep Swargam and Indu Kumari
- Introduction
- Section A: Introduction to Systems Biology and Its Perspectives
Chapter 2. Application of Multi-Scale Modeling Techniques in System Biology
Chapter 3. The Perspective of Physiome Modelling in Systems Biology: New Horizon
- Section B: Systems Biology to Study Livestock and Related
- Diseases
Chapter 5. Systems Biology and Livestock Gut Microbiome
Chapter 6. Omics in Livestock Animals: Improving Health, Well-Being, and Production
Chapter 7. Livestock Viral Diseases and Insights into Systems Biology
- Section C: Integration of Recent and Developing Techniques With
- Systems Biology for Better Outcome
Chapter 9. Importance and Potential Applications of Nanobiotechnology and Systems
- Biology for Livestock Science
- Section D: Future Aspects of Systems Biology in Livestock Sciences
- And Future Prospect
- Future Prospect
- Livestock Animals
- Conclusion
- References
- Biology
- Shweta Sharma and Dinesh Kumar
- Introduction
- Elements of System Biology
- System Definition
- Central Attributes of Biological Models
- Irreducibility
- Emergence
- Complexity
- Modularity
- Fragility and Robustness
- Various Systems of Biological Models
- Different Strategies to Build a Model
- Multi Scale Methods
- Method of Quasi-Continuum (Qc)
- Approach Integrating Quantum and Molecular Mechanics (Qm-Mm)
- Multi-Scale Approach Without Equations
- Gap-Tooth Scheme
- Coarse Projective Integration
- Patches Dynamics
- Heterogeneous Multi-Scale Process
- Method of Multiple Grid (Mg)S
- Method for Multi-Scale Agent-Based Modeling
- Complex Automata
- Multi-Scale Models and Biology
- Multi-Scale Models of Tumour Growth
- Silicon Cell Model
- Artificial Intelligence Ai in System Biology
- System Biology and Biostatistics
- Applications of System Biology
- System Biology in Pharmacology and System Medicine
- Precision Medicine and System Biology
- Future Perspectives
- Conclusion
- References
- New Horizon
- Prachi P. Parvatikar, Shrilaxmi Bagali, Pallavi S. Kanthe, Aravind V. Patil and Kusal
- K. Das
- Introduction
- From Reductionism to Systems Biology
- Molecular Biology from a Reductionist Perspective
- Limitations of the Reductionist Approach
- The Emergence of Systems Biology
- Top-Down and Bottom-Up Approaches in Systems Biology
- Finding the Balance Between Reductionism and Systems Biology
- Physiome: New Horizons of Systems Biology
- Concept of Physiome
- Physiome Project
- History
- Physiome and Physiology
- The Virtual Human Physiome
- Role of Human Physiome in Personalized Drug Development
- Physiome in Livestock Animals
- Integrative Physiological Modeling
- Models Development
- Data Requirement for Model Development
- Steps Involved in Physiome Model Development
- Databases
- Development of Modules
- Hypothesis Testing
- Validation and Verification
- Verification
- Validation
- Qualitatively
- Quantitatively by Steady-State
- Quantitatively in Dynamics
- Ontology
- Gene Structure Simulation
- Kinetic Modeling
- Physiome Modeling in Various Organs
- Heart
- Cardiac Cell Models
- Lungs
- Kidney
- Microcirculatory Modeling
- Therapeutics
- Animal Physiome Model
- Future Directions
- Conclusion
- Abbreviations
- References
- Kushal Thakur, Dixit Sharma, Disha Chauhan, Danish Mahajan, Kanika Choudhary,
- Bhavna Brar, Amit Kumar Sharma, Reshma Sinha, Ranjit Kumar, Sunil Kumar And
- Rakesh Kumar
- Introduction
- Some Fish Species as a Model Organism for Systems Biology
- Omics in Fisheries Science
- Fish Genomics
- Transcriptomics in Fisheries
- Proteomics in Fisheries
- Role of Protein-Protein Interaction Network in Fishes
- Metabolomics in Fisheries
- Integration of Fish Omics Data by Systems Biology
- Conclusion
- Acknowledgement
- References
- Shyamalima Saikia, Minakshi Puzari and Pankaj Chetia
- Introduction
- Diversity of Microbiomes in Livestock/Farm Animals
- Microbiota of Ruminants
- Microbiota of Pig
- Technologies for Microbiome Research- Past, Present, and Future
- Bioinformatics Tools in Microbiome Analysis
- The Characterization of Gut Microbiota in Livestock Using
- Taxonomic Marker Gene
- Functional Annotation and Metabolic Recons- Truction of Gut
- Microbiota Using Metagenomics, Metatranscriptomics, And
- Metaproteomic Analysis
- Detection of the Microbial Metabolite of Gi Tract Using Meta-
- Metabolomics in Livestock
- Concluding Remarks
- References
- And Production
- Dixit Sharma, Disha Chauhan, Sunil Kumar, Ankita Sharma, Kushal Thakur
- Kanika Choudhary, Jigmet Yangchan, Rakesh Kumar and Ranjit Kumar
- Introduction
- Omics Technologies and Animal Genome
- Genomics
- Transcriptomics
- Single Cell Sequencing
- Proteomics
- Biomarker Discovery & Early Diagnosis of Disease
- Metabolomics
- System Biology in Animal Disease
- Conclusion
- Acknowledgements
- References
- Debajit Dey, Zaved Hazarika, Akhilesh Kumar Pandey and Subhomoi Borkotoky
- Introduction
- Viruses Affecting Livestock
- Avian Influenza Virus (Aiv)
- Newcastle Disease Virus (Ndv)
- Infectious Bursal Disease Virus (Ibdv)
- Bovine Respiratory Disease (Brd)
- Bovine Respiratory Syncytial Virus (Brsv) and Bovine Parainfluenza 3 Virus
- (Bpiv3)
- Bovine Herpesvirus-1 (Bhv-1)
- Bovine Viral Diarrhea Virus (Bvdv)
- Foot and Mouth Disease Virus (Fmdv)
- African Swine Fever Virus (Asfv)
- Application of Systems Biology Approaches in Livestock Animal
- Viruses
- Avian Influenza
- Bovine Respiratory Disease
- Newcastle Disease Virus
- African Swine Fever Virus
- Conclusion and Future Prospects
- Acknowledgements
- References
- Padmani Sandhu, Indu Kumari and Sandeep Swargam
- Introduction
- Branches of Proteomics
- Quantitative Proteomics
- Clinical Proteomics
Author
- Anupam Nath Jha
- Sandeep Swargam
- Indu Kumari
