Back

Loss of Ehmt2/G9a function in zebrafish is associated with global deficiency in H3K9 dimethylation, misregulated cell cycle dynamics, and embryonic developmental delay

McDonnell, T. E.; Meda, F.; Deimling, S. J.; Tropepe, V.

2026-04-07 developmental biology
10.64898/2026.04.05.716391 bioRxiv
Show abstract

Ehmt2 is a key H3K9 methyltransferase that regulates genome silencing and structural integrity during animal development. In addition to this canonical function, Ehmt2 has also been implicated in neural tissues mediating both direct and indirect transcriptional activation, and exon splicing, to facilitate proper neural cell differentiation and survival. Several germline loss-of-function animal models have been developed showing both conserved and divergent phenotypes that range from embryonic lethality to behavioural deficits in adult, fertile animals. Here, we generated the first maternal-zygotic ehmt2 loss of function mutant in zebrafish using CRISPR-Cas9 mutagenesis. An assessment of the pattern of H3K9 methylation in mutant embryos by ChIP-seq indicates that there are aberrant levels of this repressive mark, including reduction in discrete 5 non-coding regions of genes, but with no significant change in the overall pattern distribution of these marks across the genome. Global transcriptome and morphological analyses demonstrated that mutant embryos displayed greater variation in the timing of developmental progression that is, on average, slower compared to controls. Despite this, mutant embryos ultimately survive and are fertile. Through examination of progenitor cell dynamics and gene expression profiles, we found that the delay in embryonic development was associated with longer rates of S-M phases of the progenitor cell cycle in mutants leading to deficits in tissue growth. Finally, our data suggest a robust network of epigenetic regulators can potentially compensate for Ehmt2 loss of function and permit embryonic development and survival in ehmt2 mutant zebrafish. Our work establishes a zebrafish ehmt2 loss of function model that will facilitate examination of the complex and varied roles of Ehmt2 in vertebrate development.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
PLOS Genetics
756 papers in training set
Top 0.2%
22.3%
2
Developmental Biology
134 papers in training set
Top 0.2%
12.4%
3
Developmental Dynamics
50 papers in training set
Top 0.1%
7.1%
4
Biology Open
130 papers in training set
Top 0.1%
4.8%
5
G3 Genes|Genomes|Genetics
351 papers in training set
Top 0.5%
4.3%
50% of probability mass above
6
Genetics
225 papers in training set
Top 1%
3.9%
7
Human Molecular Genetics
130 papers in training set
Top 0.6%
3.9%
8
Scientific Reports
3102 papers in training set
Top 35%
3.6%
9
Development
440 papers in training set
Top 0.8%
3.6%
10
PLOS ONE
4510 papers in training set
Top 43%
3.0%
11
eLife
5422 papers in training set
Top 30%
2.8%
12
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 2%
2.7%
13
Epigenetics
43 papers in training set
Top 0.4%
1.8%
14
Nucleic Acids Research
1128 papers in training set
Top 11%
1.7%
15
Epigenetics & Chromatin
42 papers in training set
Top 0.2%
1.3%
16
Disease Models & Mechanisms
119 papers in training set
Top 2%
1.3%
17
GENETICS
189 papers in training set
Top 0.8%
1.3%
18
Open Biology
95 papers in training set
Top 1%
1.2%
19
The American Journal of Human Genetics
206 papers in training set
Top 3%
1.2%
20
Differentiation
11 papers in training set
Top 0.2%
0.9%
21
Cell Reports
1338 papers in training set
Top 32%
0.8%
22
Nature Communications
4913 papers in training set
Top 61%
0.8%
23
PLOS Biology
408 papers in training set
Top 22%
0.7%
24
Journal of Experimental Zoology Part B: Molecular and Developmental Evolution
22 papers in training set
Top 0.7%
0.7%
25
iScience
1063 papers in training set
Top 35%
0.7%
26
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 46%
0.7%
27
Epigenomics
10 papers in training set
Top 0.2%
0.6%
28
Frontiers in Genetics
197 papers in training set
Top 11%
0.6%
29
International Journal of Molecular Sciences
453 papers in training set
Top 18%
0.6%