Predictable and stable epimutations induced during clonal plant propagation with embryonic transcription factor

Anjar Tri Wibowo, Javier Antunez-Sanchez, Alexander Dawson, Jonathan Price, Cathal Meehan, Travis Wrightsman, Maximillian Collenberg, Ilja Bezrukov, Claude Becker, Moussa Benhamed, Detlef Weigel, Jose Gutierrez-Marcos

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Clonal propagation is frequently used in commercial plant breeding and biotechnology programs because it minimizes genetic variation, yet it is not uncommon to observe clonal plants with stable phenotypic changes, a phenomenon known as somaclonal variation. Several studies have linked epigenetic modifications induced during regeneration with this newly acquired phenotypic variation. However, the factors that determine the extent of somaclonal variation and the molecular changes underpinning this process remain poorly understood. To address this gap in our knowledge, we compared clonally propagated Arabidopsis thaliana plants derived from somatic embryogenesis using two different embryonic transcription factors- RWP-RK DOMAIN-CONTAINING 4 (RKD4) or LEAFY COTYLEDON2 (LEC2) and from two epigenetically distinct founder tissues. We found that both the epi (genetic) status of the explant and the regeneration protocol employed play critical roles in shaping the molecular and phenotypic landscape of clonal plants. Phenotypic variation in regenerated plants can be largely explained by the inheritance of tissue-specific DNA methylation imprints, which are associated with specific transcriptional and metabolic changes in sexual progeny of clonal plants. For instance, regenerants were particularly affected by the inheritance of root-specific epigenetic imprints, which were associated with an increased accumulation of salicylic acid in leaves and accelerated plant senescence. Collectively, our data reveal specific pathways underpinning the phenotypic and molecular variation that arise and accumulate in clonal plant populations.

Original languageEnglish
Article numbere1010479
JournalPLoS Genetics
Volume18
Issue number11
DOIs
Publication statusPublished - 16 Nov 2022

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