Epigenetic inheritance of acquired traits through DNA methylation

Characterization of Rationally Designed CRISPR/Cas9-Based DNA Methyltransferases with Distinct Methyltransferase and Gene Silencing Activities in Human Cell Lines and Primary Human T Cells

Nuclease-deactivated Cas (dCas) proteins can be used to recruit epigenetic effectors, and this class of epigenetic editing technologies has revolutionized the ability to synthetically control the mammalian epigenome and transcriptome. DNA methylation is one of the most important and well-characterized epigenetic modifications in mammals, and while many different forms of dCas-based DNA methyltransferases (dCas-DNMTs) have been developed for programmable DNA methylation, these tools are frequently poorly tolerated and/or lowly expressed in mammalian cell types. Further, the use of dCas-DNMTs has largely been restricted to cell lines, which limits mechanistic insights in karyotypically normal contexts and hampers translational utility in the longer term. Here, we extend previous insights into the rational design of the catalytic core of the mammalian DNMT3A methyltransferase and test three dCas9-DNMT3A/3L variants across different human cell lines and in primary donor-derived human T cells. We find that mutations within the catalytic core of DNMT3A stabilize the expression of dCas9-DNMT3A/3L fusion proteins in Jurkat T cells without sacrificing DNA methylation or gene-silencing performance. We also show that these rationally engineered mutations in DNMT3A alter DNA methylation profiles at loci targeted with dCas9-DNMT3A/3L in cell lines and donor-derived human T cells. Finally, we leverage the transcriptionally repressive effects of dCas9-DNMT3A/3L variants to functionally link the expression of a key immunomodulatory transcription factor to cytokine secretion in donor-derived T cells. Overall, our work expands the synthetic biology toolkit for epigenetic editing and provides a roadmap for the use of engineered dCas-based DNMTs in primary mammalian cell types.

Antimicrobial activity and cytotoxic and epigenetic effects of tannic acid-loaded chitosan nanoparticles

Tannic acid (TA) is a potent antitumor agent, but its low bioavailability and absorption limit its use. In this study, it was loaded into chitosan-based nanoparticles (Chi-NPs) to overcome these limitations and to improve its antimicrobial and anticancer activities. TA-loaded Chi-NPs (Chi-TA-NPs) were synthesized using the ionic gelation method and physicochemically characterized by FE-SEM, FTIR, XRD, PDI, DLS, and zeta potential analysis. Additionally, the antimicrobial activity of Chi-TA-NPs against two G+ bacterial strains, two G- bacterial strains, and a fungal strain (Candida albicans) was investigated using the microbroth dilution method. MTT assay was used to examine the cytotoxic effects of Chi-TA-NPs on HepG2 cells. The expression of DNA methyltransferase 1 (DNMT1), DNMT3A, and DNMT3B was examined in HepG2 cells using RT-qPCR. The amount of 5-methylcytosine in the HepG2 cell-derived genomic DNA was measured using ELISA. FE-SEM micrographs showed the loading of TA into the chitosan-based formulation. The peaks detected in the XRD and FTIR analyses confirmed the formation of the Chi-TA-NPs. The PDI value (0.247 ± 0.03), size (567.0 ± 25.84 nm), and zeta potential (17.0 ± 5.86 mV) confirmed the relative stability of Chi-TA-NPs. A constant release profile in line with the Korsmeyer-Peppas model was detected for Chi-TA-NPs, such that approximately 44% of TA was released after 300 min. In addition, Chi-TA-NPs exhibited effective antimicrobial activity against the studied microbial strains, as manifested by MIC values ranging from 250 to 1000 µg/mL. Chi-TA-NPs induced cytotoxicity in liver tumor cell line, with an IC50 value of 500 µg/mL. Furthermore, Chi-TA-NPs considerably decreased the expression of DNMT1 (2.52-fold; p = 0.01), DNMT3A (2.96-fold; p = 0.004), and DNMT3B (2.94-fold; p < 0.0001). However, 5-methylcytosine levels in HepG2 cells were unaffected by Chi-TA-NPs treatment (p = 0.62). Finally, the antimicrobial, cytotoxic, and epigenetic effects of Chi-TA-NPs were more pronounced than those of free TA and the unloaded Chi-NPs. In conclusion, Chi-TA-NPs exhibit promising potential for reducing microbial growth and promoting cytotoxicity in liver cancer cells.

The evolutionary consequences of interactions between the epigenome, the genome and the environment

The epigenome is the suite of interacting chemical marks and molecules that helps to shape patterns of development, phenotypic plasticity and gene regulation, in part due to its responsiveness to environmental stimuli. There is increasing interest in understanding the functional and evolutionary importance of this sensitivity under ecologically realistic conditions. Observations that epigenetic variation abounds in natural populations have prompted speculation that it may facilitate evolutionary responses to rapid environmental perturbations, such as those occurring under climate change. A frequent point of contention is whether epigenetic variants reflect genetic variation or are independent of it. The genome and epigenome often appear tightly linked and interdependent. While many epigenetic changes are genetically determined, the converse is also true, with DNA sequence changes influenced by the presence of epigenetic marks. Understanding how the epigenome, genome and environment interact with one another is therefore an essential step in explaining the broader evolutionary consequences of epigenomic variation. Drawing on results from experimental and comparative studies carried out in diverse plant and animal species, we synthesize our current understanding of how these factors interact to shape phenotypic variation in natural populations, with a focus on identifying similarities and differences between taxonomic groups. We describe the main components of the epigenome and how they vary within and between taxa. We review how variation in the epigenome interacts with genetic features and environmental determinants, with a focus on the role of transposable elements (TEs) in integrating the epigenome, genome and environment. And we look at recent studies investigating the functional and evolutionary consequences of these interactions. Although epigenetic differentiation in nature is likely often a result of drift or selection on stochastic epimutations, there is growing evidence that a significant fraction of it can be stably inherited and could therefore contribute to evolution independently of genetic change.

Epigenetic diversity of genes with copy number variations among natural populations of the three-spined stickleback

Duplicated genes provide the opportunity for evolutionary novelty and adaptive divergence. In many cases, having more gene copies increases gene expression, which might facilitate adaptation to stressful or novel environments. Conversely, overexpression or misexpression of duplicated genes can be detrimental and subject to negative selection. In this scenario, newly duplicate genes may evade purifying selection if they are epigenetically silenced, at least temporarily, leading them to persist in populations as copy number variations (CNVs). In animals and plants, younger gene duplicates tend to have higher levels of DNA methylation and lower levels of gene expression, suggesting epigenetic regulation could promote the retention of gene duplications via expression repression or silencing. Here, we test the hypothesis that DNA methylation variation coincides with young duplicate genes that are segregating as CNVs in six populations of the three-spined stickleback that span a salinity gradient from 4 to 30 PSU. Using reduced-representation bisulfite sequencing, we found DNA methylation and CNV differentiation outliers rarely overlapped. Whereas lineage-specific genes and young duplicates were found to be highly methylated, just two gene CNVs showed a significant association between promoter methylation level and copy number, suggesting that DNA methylation might not interact with CNVs in our dataset. If most new duplications are regulated for dosage by epigenetic mechanisms, our results do not support a strong contribution from DNA methylation soon after duplication. Instead, our results are consistent with a preference to duplicate genes that are already highly methylated.

An epigenetic toolbox for conservation biologists

Ongoing climatic shifts and increasing anthropogenic pressures demand an efficient delineation of conservation units and accurate predictions of populations' resilience and adaptive potential. Molecular tools involving DNA sequencing are nowadays routinely used for these purposes. Yet, most of the existing tools focusing on sequence-level information have shortcomings in detecting signals of short-term ecological relevance. Epigenetic modifications carry valuable information to better link individuals, populations, and species to their environment. Here, we discuss a series of epigenetic monitoring tools that can be directly applied to various conservation contexts, complementing already existing molecular monitoring frameworks. Focusing on DNA sequence-based methods (e.g. DNA methylation, for which the applications are readily available), we demonstrate how (a) the identification of epi-biomarkers associated with age or infection can facilitate the determination of an individual's health status in wild populations; (b) whole epigenome analyses can identify signatures of selection linked to environmental conditions and facilitate estimating the adaptive potential of populations; and (c) epi-eDNA (epigenetic environmental DNA), an epigenetic-based conservation tool, presents a non-invasive sampling method to monitor biological information beyond the mere presence of individuals. Overall, our framework refines conservation strategies, ensuring a comprehensive understanding of species' adaptive potential and persistence on ecologically relevant timescales.

Sperm-borne tsRNAs and miRNAs analysis in relation to dairy cattle fertility

Sperm small non-coding RNAs (sncRNAs), such as microRNAs (miRNAs) and tRNA-derived small RNAs (tsRNAs), have been found to have implications for male fertility and play a role in the intergenerational transmission of specific phenotypes by influencing the early embryo's physiological processes in various animal species. This study postulates that there exists a correlation between sperm small non-coding RNAs (sncRNAs) and bull fertility, which in turn can influence the fertility of offspring through the modulation of early embryo development. To investigate this hypothesis, we generated comparative libraries of sperm sncRNAs from sires exhibiting high (n = 3) versus low bull fertility (n = 3), as well as high (n = 3) versus low daughter fertility (n = 3), as determined by the industry-standard Bull fertility index and Daughter fertility index. In total, 12 tsRNAs carried by sperm (11 down-regulated and 1 up-regulated) were found to be associated with bull fertility, while 19 tsRNAs (11 down-regulated and 8 up-regulated) were found to be associated with daughter fertility (q < 0.05, Log2foldchange>±1.5, base mean > 50). Notably, tRX-Glu-NNN-3811 exhibited potential as a biomarker for predicting fertility in both male and female dairy cattle. Moreover, a total of six miRNAs sperm-borne (two up-regulated and four down-regulated) and 35 miRNAs (27 up-regulated and eight down-regulated) exhibited a significant correlation with both bull fertility and daughter fertility individually (p < 0.05, base mean > 50, log2foldchange>±1.5), two microRNAs, namely miR-2385-5p (down-regulated) and miR-98 (up-regulated), exhibit a significant association (p < 0.05, base mean > 50, log2foldchange>±1.5) with the fertility of both bulls and daughter. The targets of these two microRNAs were subsequently identified and integrated with the transcriptomic database of the embryonic cells at the two-cell stage, which is known to be indicative of embryonic competence. The KEGG analysis revealed a potential correlation between these targets and choline metabolism, a crucial factor in embryonic epigenetic programming. In summary, the findings of this study indicate that sperm-borne small non-coding RNAs (sncRNAs) hold promise as biomarkers for predicting and enhancing fertility in dairy cattle. Furthermore, it is plausible that these sncRNAs may exert their effects on daughter fertility by targeting genes in the early embryo.

Human sperm heads harbor modified YsRNA as transgenerationally inherited non-coding RNAs

Most epigenetic information is reprogrammed during gametogenesis and early development. However, some epigenetic information persists and can be inherited, a phenomenon that is common in plants. On the other hand, there are increasing examples of epigenetic inheritance in metazoans, especially for small non-coding RNAs. The presence of regulatory important RNAs in oocytes is undisputed, whereas the corresponding RNA payload in spermatozoa and its regulatory influence in the zygote and early embryogenesis is largely enigmatic. For humans, we herein describe small YRNA fragments (YsRNA) as a paternal contribution to the zygote. First, we trace the biogenesis of these YsRNAs from the source YRNAs with respect to the 5' and 3' modifications. Both the length and modifications make these YsRNAs reminiscent of canonical piRNAs that are not derived from piRNA clusters. Second, from the early stages of spermatogenesis to maturation in the epididymis, we observe distinct YsRNA profile dynamics in the male germline. We detected YsRNAs exclusively in mature sperm heads, the precursor of the male pronucleus in the zygote, suggesting an important role of the epididymis as a site for transmitting and modification of epigenetic information in the form of YsRNA between soma and germline in humans. Since this YsRNA-based epigenetic mechanism is effective across generations, we wondered whether this phenomenon of epigenetic inheritance has an adaptive value. Full-length YRNAs bind to Ro60, an RNA chaperone that additionally binds to non-coding RNAs. We described the profiles of non-coding RNAs bound to Ro60 in the human sperm head and detected specific binding profiles of RNA to Ro60 but no YRNA bound to Ro60. We hypothesize that the sperm head Ro60 system is functional. An adaptive phenotype mediated by the presence of a large amount of YsRNA in the sperm head, and thus as a paternal contribution in the zygote, might be related to an association of YsRNA with YRNA that prevents the adoption of a YRNA secondary structure capable of binding to Ro60. We hypothesize that preventing YRNAs from acting as Ro60-associated gatekeepers for misfolded RNAs in the zygote and early development may enhance RNA chaperoning and, thus, represent the adaptive molecular phenotype.

When Dad's Stress Gets under Kid's Skin-Impacts of Stress on Germline Cargo and Embryonic Development

Multiple lines of evidence suggest that paternal psychological stress contributes to an increased prevalence of neuropsychiatric and metabolic diseases in the progeny. While altered paternal care certainly plays a role in such transmitted disease risk, molecular factors in the germline might additionally be at play in humans. This is supported by findings on changes to the molecular make up of germ cells and suggests an epigenetic component in transmission. Several rodent studies demonstrate the correlation between paternal stress induced changes in epigenetic modifications and offspring phenotypic alterations, yet some intriguing cases also start to show mechanistic links in between sperm and the early embryo. In this review, we summarise efforts to understand the mechanism of intergenerational transmission from sperm to the early embryo. In particular, we highlight how stress alters epigenetic modifications in sperm and discuss the potential for these modifications to propagate modified molecular trajectories in the early embryo to give rise to aberrant phenotypes in adult offspring.

DNA methylation profiles in bovine sperm are associated with daughter fertility

The current decline in dairy cattle fertility has resulted in significant financial losses for dairy farmers. In the past, most efforts to improve dairy cattle fertility have been focused on either management or genetics, while epigenetics have received less attention. In this study, 12 bulls were selected from a provided 100 bull list and studied (High daughter fertility = 6, Low daughter fertility = 6) for Enzymatic methylation sequencing in the Illumina HiSeq platform according to the Canadian daughter fertility index (DFI), sires with high and low daughter fertility have average DFI of 92 and 112.6, respectively. And the bull list provided shows a mean DFI of 103.4. 252 CpGs with methylation differences greater than 20% (q < 0.01) were identified, as well as the top 10 promising DMRs with a 15% methylation difference (q < 1.1e-26). Interestingly, the DMCs and DMRs were found to be distributed more on the X chromosome than on the autosome, and they were covered by gene clusters linked to germ cell formation and development. In conclusion, these findings could enhance our ability to make informed decisions when deciding on superior bulls and advance our understanding of paternal epigenetic inheritance.

Methyl-TWAS: A powerful method for in silico transcriptome-wide association studies (TWAS) using long-range DNA methylation

In silico transcriptome-wide association studies (TWAS) are commonly used to test whether expression of specific genes is linked to a complex trait. However, genotype-based in silico TWAS such as PrediXcan, exhibit low prediction accuracy for a majority of genes because genotypic data lack tissue- and disease-specificity and are not affected by the environment. Because methylation is tissue-specific and, like gene expression, can be modified by environment or disease status, methylation should predict gene expression with more accuracy than SNPs. Therefore, we propose Methyl-TWAS, the first approach that utilizes long-range methylation markers to impute gene expression for in silico TWAS through penalized regression. Methyl-TWAS 1) predicts epigenetically regulated/associated expression (eGReX), which incorporates tissue-specific expression and both genetically- (GReX) and environmentally-regulated expression to identify differentially expressed genes (DEGs) that could not be identified by genotype-based methods; and 2) incorporates both cis- and trans- CpGs, including various regulatory regions to identify DEGs that would be missed using cis- methylation only. Methyl-TWAS outperforms PrediXcan and two other methods in imputing gene expression in the nasal epithelium, particularly for immunity-related genes and DEGs in atopic asthma. Methyl-TWAS identified 3,681 (85.2%) of the 4,316 DEGs identified in a previous TWAS of atopic asthma using measured expression, while PrediXcan could not identify any gene. Methyl-TWAS also outperforms PrediXcan for expression imputation as well as in silico TWAS in white blood cells. Methyl-TWAS is a valuable tool for in silico TWAS, leveraging a growing body of publicly available genome-wide DNA methylation data for a variety of human tissues.

Effects of DNA Methylation on Gene Expression and Phenotypic Traits in Cattle: A Review

Gene expression in cells is determined by the epigenetic state of chromatin. Therefore, the study of epigenetic changes is very important to understand the regulatory mechanism of genes at the molecular, cellular, tissue and organ levels. DNA methylation is one of the most studied epigenetic modifications, which plays an important role in maintaining genome stability and ensuring normal growth and development. Studies have shown that methylation levels in bovine primordial germ cells, the rearrangement of methylation during embryonic development and abnormal methylation during placental development are all closely related to their reproductive processes. In addition, the application of bovine male sterility and assisted reproductive technology is also related to DNA methylation. This review introduces the principle, development of detection methods and application conditions of DNA methylation, with emphasis on the relationship between DNA methylation dynamics and bovine spermatogenesis, embryonic development, disease resistance and muscle and fat development, in order to provide theoretical basis for the application of DNA methylation in cattle breeding in the future.

Epigenetic Inheritance: Intergenerational Effects of Pesticides and Other Endocrine Disruptors on Cancer Development

Parental environmental experiences affect disease susceptibility in the progeny through epigenetic inheritance. Pesticides are substances or mixtures of chemicals-some of which are persistent environmental pollutants-that are used to control pests. This review explores the evidence linking parental exposure to pesticides and endocrine disruptors to intergenerational and transgenerational susceptibility of cancer in population studies and animal models. We also discuss the impact of pesticides and other endocrine disruptors on the germline epigenome as well as the emerging evidence for how epigenetic information is transmitted between generations. Finally, we discuss the importance of this mode of inheritance in the context of cancer prevention and the challenges ahead.