Plant Whole Genome Duplication Mechanisms and Their Breeding Applications

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Authors: Macharla Srinidhi, Mani Manoj, Mahankali Sravanalakshmi, Priti Kumari, Sasikumar Janani, Paneerselvam Swarnamughi, Balaji Esakkimuthu, Arumugam Vijaya Anand
Cited by: 0
References: 149

Abstract

Whole genome duplication (WGD) and pangenomic diversity are critical evolutionary mechanisms that drive genetic variation, adaptation, and functional innovation in plant lineages. WGD, involving autopolyploidy and allopolyploidy, reshapes genomic architecture and chromatin organization, contributing to species diversity and plant evolution. These events promote gene redundancy, facilitating sub-functionalization and neofunctionalization, which lead to functional divergence, genomic rearrangements, and enhanced adaptability. Alongside tandem duplications, transposable elements, and horizontal gene transfer, WGDs significantly amplify plant diversity, adaptability, and genomic complexity. Model plants such as Arabidopsis thaliana and Brassicaceae demonstrate how WGD and diploidization increase genetic diversity, phenotypic plasticity, and evolutionary success across varied environments. Comparative genomics, transcriptomics, and proteomics provide insights into gene retention patterns and expression divergence that underlie these adaptive features. In agriculture, WGD-derived traits enhance crop resilience by improving stress tolerance, resource efficiency, and environmental adaptability. Combining WGD and pangenome studies with artificial intelligence (AI) and machine learning (ML) offers unprecedented opportunities for precision breeding. AI-driven tools can analyze complex genomic datasets, identify retention patterns, predict functional roles, and model evolutionary scenarios. These capabilities accelerate the development of climate-resilient crops by identifying key genomic regions linked to desirable traits. Despite challenges such as data integration, computational complexity, and regulatory concerns, AI and ML offer solutions through automated analysis, predictive modeling, and efficient data integration frameworks. Leveraging AI alongside genome editing and synthetic biology can maximize the benefits of WGD and pangenomics, fostering sustainable agriculture and enhancing global food security.

Fields of Study & Subjects

Chromosomal and Genetic Variations Genome Rearrangement Algorithms Plant Taxonomy and Phylogenetics

Publication details

Journal / source
CABI biotechnology series.
Pages
188–212
Publication date
16 January 2026
Language
EN
Document type
Book chapter