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(Epi)genetic control of secondary seed dormancy depth and germination in Capsella bursa-pastoris

Published online by Cambridge University Press:  29 November 2022

Sara Gomez-Cabellos
Affiliation:
Royal Botanic Gardens, Kew, Wakehurst, Ardingly, Haywards Heath, West Sussex RH17 6TN, UK Departamento de Biología de Organismos y Sistemas, Universidad de Oviedo, C/Catedrático Rodrigo Uría, 33006 Oviedo, Spain
Peter E. Toorop
Affiliation:
Royal Botanic Gardens, Kew, Wakehurst, Ardingly, Haywards Heath, West Sussex RH17 6TN, UK
Eduardo Fernández-Pascual
Affiliation:
Departamento de Biología de Organismos y Sistemas, Universidad de Oviedo, C/Catedrático Rodrigo Uría, 33006 Oviedo, Spain IMIB – Biodiversity Research Institute, University of Oviedo, Mieres, Spain
Pietro P. M. Iannetta
Affiliation:
The James Hutton Institute, Invergowrie, Dundee DD2 5DA, UK
Hugh W. Pritchard
Affiliation:
Royal Botanic Gardens, Kew, Wakehurst, Ardingly, Haywards Heath, West Sussex RH17 6TN, UK
Anne M. Visscher*
Affiliation:
Royal Botanic Gardens, Kew, Wakehurst, Ardingly, Haywards Heath, West Sussex RH17 6TN, UK
*
*Author for Correspondence: Anne M. Visscher, E-mail: a.visscher@kew.org
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Abstract

Despite the importance of secondary dormancy for plant life cycle timing and survival, there is insufficient knowledge about the (epigenetic) regulation of this trait at the molecular level. Our aim was to determine the role of (epi)genetic processes in the regulation of secondary seed dormancy using natural genotypes of the widely distributed Capsella bursa-pastoris. Seeds of nine ecotypes were exposed to control conditions or histone deacetylase inhibitors [trichostatin A (TSA), valproic acid] during imbibition to study the effects of hyper-acetylation on secondary seed dormancy induction and germination. Valproic acid increased secondary dormancy and both compounds caused a delay of t50 for germination (radicle emergence) but not of t50 for testa rupture, demonstrating that they reduced speed of germination. Transcriptome analysis of one accession exposed to valproic acid versus water showed mixed regulation of ABA, negative regulation of GAs, BRs and auxins, as well as up-regulation of SNL genes, which might explain the observed delay in germination and increase in secondary dormancy. In addition, two accessions differing in secondary dormancy depth (deep vs non-deep) were studied using RNA-seq to reveal the potential regulatory processes underlying this trait. Phytohormone synthesis or signalling was generally up-regulated for ABA (e.g. NCED6, NCED2, ABCG40, ABI3) and down-regulated for GAs (GA20ox1, GA20ox2, bHLH93), ethylene (ACO1, ERF4-LIKE, ERF105, ERF109-LIKE), BRs (BIA1, CYP708A2-LIKE, probable WRKY46, BAK1, BEN1, BES1, BRI1) and auxin (GH3.3, GH3.6, ABCB19, TGG4, AUX1, PIN6, WAT1). Epigenetic candidates for variation in secondary dormancy depth include SNL genes, histone deacetylases and associated genes (HDA14, HDA6-LIKE, HDA-LIKE, ING2, JMJ30), as well as sequences linked to histone acetyltransferases (bZIP11, ARID1A-LIKE), or to gene silencing through histone methylation (SUVH7, SUVH9, CLF). Together, these results show that phytohormones and epigenetic regulation play an important role in controlling differences in secondary dormancy depth between accessions.

Information

Type
Research Paper
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press
Figure 0

Fig. 1. Schematic representation of the nine samples used for transcriptome sequencing.

Figure 1

Fig. 2. Final mean germination percentages of seeds from all the accessions (SCRI -156, -177, -367, -416, -469, -707, -773, -799 and -937) of C. bursa-pastoris studied in the different compounds (water, DMSO, TSA and valproic acid) and times of incubation in darkness at 30°C tested (0, 1, 2, 3 and 7 d), after being exposed to germination-promoting conditions. Bars represent means and brackets the 95% binomial confidence interval. The most frequent number of viable seeds per condition tested was 200 (4 × 50 = 200).

Figure 2

Fig. 3. Generalized Linear Model (GLM) fitted to the data, taking all the accessions analysed (SCRI -156, -177, -367, -416, -469, -707, -773, -799 and -937). (A) Final mean germination percentages (%) across all treatments studied in relation to the accession analysed. (B) t50s in hours to germination across all treatments studied in relation to the accession analysed. (C) Final mean germination percentages (%) across all treatments studied in relation to the compound used. (D) t50 for germination in hours for all the accessions and treatments analysed in relation to the compound used. (E) Final mean germination percentages (%) for all the accessions and compounds used in relation to the period of incubation in darkness at 30°C. (F) t50 for germination in hours for all the accessions and compounds used in relation to the period of incubation in darkness at 30°C. For (A, C and E), brackets represent the 95% binomial confidence interval and for (B, D and F), brackets represent standard errors.

Figure 3

Fig. 4. Generalized Linear Model (GLM) fitted to the data, taking all the accessions analysed (SCRI -156, -177, -367, -416, -469, -707, -773, -799 and -937). (A) Final mean germination percentages (%) in relation to the period of incubation in darkness at 30°C and separated by the compound used. (B) t50s in hours to testa rupture in relation to the period of incubation in darkness at 30°C and separated by the compound used. (C) t50s in hours to germination in relation to the period of incubation in darkness at 30°C and separated by the compound used. (D) Differences between t50s of testa rupture and germination, with the mean of all the accessions together. For (A), brackets represent the 95% binomial confidence interval and for (B, C and D), brackets represent standard errors.

Figure 4

Table 1. Number of DEGs between conditions in C. bursa-pastoris seeds

Figure 5

Table 2. DEGs potentially explaining the observed delay in t50 for germination in C. bursa-pastoris seeds treated with HDAC inhibitors

Figure 6

Table 3. DEGs potentially explaining the difference in secondary seed dormancy depth between two accessions of C. bursa-pastoris

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