Plant Spatial Biology

Jen-Tsung Chen

• Publisher: CAB International
• Year: 2026
• Topic: Technology & Engineering
• eBook ISBN:
  9781836994572
• Subtopic: Genetics & Genomics
• Index: Technology & Engineering

Systems biology and multi-omics techniques in plant sciences and crop development have advanced significantly in recent years allowing the analysis of molecular activity down to the resolution of single cells. This new discipline of plant spatial biology will lead to precision crop improvement by molecular profiling. This book aims to review the current state of spatial multi-omics and the digital biological tools that are expected to advance plant physiology, crop breeding and the development of new stress-resilient and high-yield crops. The book explores how spatial multi-omics in plants utilizes artificial intelligence (AI) including machine learning, deep learning, and generative models for modelling and simulating cellular activities at high-dimensional and temporal levels. The book is an ideal reference, providing the latest information on spatial multi-omics using plant high-throughput technology, advanced functional genomics, and AI models. It is essential reading for graduate students, teachers, researchers, and experts in the fields of plant sciences and plant breeding as well as agronomy and agriculture.

Table of contents

• Cover
• Halftitle
• Cabi Biotechnology Series
• Title Page
• Copyright
• Contents
• Editor’s Biography
• Contributors
• Preface
• 1 Introduction to Plant Multiple Omics: Technical Advancement and Current Applications
• 2 Spatial Omics in Plants: Current Achievements, Challenges, and Future Directions
• 3 Plant High-throughput Transcriptomics: Fundamentals and Advances
• 4 Machine Learning-enhanced Plant Functional Genomics
• 5 Artificial Intelligence Models for High-dimensional and Digital Biology in Plants
• 6 Machine Learning-driven Plant Spatial and Multiple Omics
• 7 Mass Spectrometry Imaging for Plant Spatial Metabolomics
• 8 Plant Regulatory Networks Uncovered by Spatial and Multiple Omics Tools
• 9 Spatial and Multi-omics Approaches for Exploring Plant Evolutionary and Developmental Biology
• 10 Plant–Microbe Interactions Studied Using Spatial and Multiple Omics Tools
• 11 Spatial and Multiple Omics in Horticultural Plants: Advances and Prospects
• 12 Spatial and Multiple Omics Approaches for Advancing Climate-smart Crop Breeding
• 13 Omics Tools in Horticultural Research and Recent Applications
• 14 Spatial and Multiple Omics Approaches for Pest and Disease Management: Opportunities and Challenges
• 15 Single-cell and Spatial Multi-omics to Dissect Regulatory Roles of Plant Functional RNAs under Stress Conditions
• 16 Structural and Functional Analysis of Plant Non-coding RNAs: Highlighting the Advances in RNA Structures
• 17 Spatial and Multiple Omics in Medicinal Plants: Advances and Prospects
• Index
• Back Cover