Unravelling inversions: Technological advances, challenges, and potential impact on crop breeding

Hu, Haifei, Scheben, Armin, Wang, Jian, Li, Fangping, Li, Chengdao, Edwards, David, Zhao, Junliang (November 2023) Unravelling inversions: Technological advances, challenges, and potential impact on crop breeding. Plant Biotechnology Journal. ISSN 1467-7644

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Abstract

Inversions, a type of chromosomal structural variation, significantly influence plant adaptation and gene functions by impacting gene expression and recombination rates. However, compared with other structural variations, their roles in functional biology and crop improvement remain largely unexplored. In this review, we highlight technological and methodological advancements that have allowed a comprehensive understanding of inversion variants through the pangenome framework and machine learning algorithms. Genome editing is an efficient method for inducing or reversing inversion mutations in plants, providing an effective mechanism to modify local recombination rates. Given the potential of inversions in crop breeding, we anticipate increasing attention on inversions from the scientific community in future research and breeding applications.

Item Type:	Paper
Subjects:	bioinformatics organism description > plant behavior bioinformatics > computational biology > algorithms bioinformatics > computational biology organism description > plant behavior > crop yield improvement bioinformatics > computational biology > algorithms > machine learning organism description > plant
CSHL Authors:	Scheben, Armin
Communities:	CSHL labs > Siepel lab
SWORD Depositor:	CSHL Elements
Depositing User:	CSHL Elements
Date:	14 November 2023
Date Deposited:	27 Nov 2023 14:20
Last Modified:	11 Apr 2024 14:01
PMCID:	PMC10893937
Related URLs:	Publisher
URI:	https://repository.cshl.edu/id/eprint/41322

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