Plant Pan-Genomics: Opportunities, Advances, and Challenges

Authors

  • Mingjun Hou College of Life Science, Northeast Forestry University, China
  • Shaozi Pang College of Life Science, Northeast Forestry University, China

DOI:

https://doi.org/10.47852/bonviewJDSIS42023107

Keywords:

pan-genomics, crop breeding, core genes, variable genes

Abstract

The pan-genome concept encompasses all individual genome sequences within a species, comprising both core and variable genes. In recent years, it has emerged as a promising avenue for advancing plant genetic evolution and cultivating desirable traits. This review delves into the methodologies for constructing the pan-genome, encompassing various assembly techniques and strategies for representing this data in graphical or linear formats. Emphasis is placed on the critical aspects of high-quality genome assembly, precise annotation, homologous gene identification, and judicious sample selection in pan-genome analysis. Furthermore, we investigate the pan genome's applications in plant genomics, particularly in elucidating genetic transformations during domestication, uncovering genetic variations linked to agronomic traits, and offering insights to guide breeding endeavors.

 

Received: 14 April 2024 | Revised: 13 May 2024| Accepted: 4 June 2024

 

Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.

 

Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

 

Author Contribution Statement

Mingjun Hou: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration. Shaozi Pang: Writing - review & editing, Visualization, Supervision.


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Published

2024-06-13

Issue

Section

Review

How to Cite

Hou, M., & Pang, S. (2024). Plant Pan-Genomics: Opportunities, Advances, and Challenges. Journal of Data Science and Intelligent Systems. https://doi.org/10.47852/bonviewJDSIS42023107