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Record W4200621125 · doi:10.1093/af/vfab052

Epigenetic inheritance of acquired traits through DNA methylation

2021· article· en· W4200621125 on OpenAlexaff
Ying Zhang, Marc‐André Sirard

Bibliographic record

VenueAnimal Frontiers · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsEpigeneticsDNA methylationInheritance (genetic algorithm)BiologyGeneticsComputational biologyGeneGene expression

Abstract

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DNA methylation inheritance, including nuclear DNA methylation and mitochondrial DNA methylation, is a new and controversial issue since the mechanisms are still under heated debate. A better understanding of epigenetic inheritance mechanisms can lead to improvements in genetic evaluation. Exploring DNA methylation inheritance mechanisms could help us draw a better blueprint of how phenotypes can be shaped and provide us with a deeper understanding of evolutionary biology. The DNA sequence can pass inheritable information to offspring by its precise replication during cell division. In mammals, DNA methylation mainly occurs in 5′-Cytosine-phosphate-Guanine-3′ (CpG) by adding a methyl group to the fifth carbon of the Cytosine (5mC). This mark is replicated at each cell division by the action of the catalytic enzyme named DNA methyltransferase 1 (DNMT1). The earliest research regarding DNA methylation inheritance was documented in plants where DNA methylation was correlated to floral symmetry in Linaria vulgaris, proving that the Linaria Cycloidea (Lcyc) gene methylation mutation could be inherited for several generations (Cubas et al., 1999). When talking about DNA methylation inheritance, it is pivotal to distinguish between intergenerational and transgenerational inheritance. The former mainly indicates F0 to F1 transmission but with one exception: the germline (F2) of a fetus (F1) can respond to environmental factors while in utero. Under this condition, the F0, F1, and the future F2 (germline of the fetus) are all exposed to the altered environment, thereby constituting intergenerational inheritance. Transgenerational inheritance means that the altered epigenetic modification can be inherited even if the successive offspring are not directly exposed to the same environment. This paper summarizes the recent progress of 5mC inheritance research in humans and animals, emphasizing dairy cows. The first section of this review summarizes the potential mechanisms involved in DNA methylation inheritance, while sections two and three discuss paternal and maternal 5mC inheritance. The remaining sections include a description of possible mechanisms of mitochondrial DNA methylation inheritance, and 5mC inheritance in different species. Finally, the challenges and limitations of research in DNA methylation inheritance are presented. Several prerequisites must be met to achieve DNA methylation inheritance between generations. Firstly, DNA methylation should be able to pass from somatic cells to their daughter cells as cells are dividing. Secondly, DNA methylation should be capable of being maintaining from the somatic cells to the germline. Last but not least, DNA methylation should resist the two DNA methylation reprogramming events that happen after fertilization and early gonadogenesis. DNA methylation includes de novo methylation and maintenance methylation. De novo methylation requires DNMT3a, DNMT3b, and DNMT3L to establish methylation on unmodified DNA. In contrast, the maintenance of DNA methylation requires DNMT1, which catalyzes CpG methylation in a copy-paste manner, therefore causing symmetrically methylated CpG dinucleotides in both DNA strands. Although this process is stable, if DNMT1 and UHRF1 (ubiquitin-like with PHD and RING finger domains 1) are at a low level, DNA methylation will be diluted as cells divide (passive demethylation) (Harrison et al., 2016). As for active demethylation, it requires the TET (Ten-eleven translocation) protein family (TET1, TET2, TET3) to oxidize the 5mC to 5hmC,5fC, and finally to 5CaC and therefore restoring the non-methylated cytosine status. Current research points to three potential information carriers that could achieve soma to germline transmission: the small non-coding RNA (sncRNA), the chromatin state (histone modifications), and DNA methylation. Chen et al., (2016) proposed that extracellular vesicles (EV) could potentially transfer sncRNA from somatic cell to the germline as the provided evidence that the concentration of tRNAs-derived small RNA (tsRNA) was higher in epididymis than in testis and epididymosomes can fuse with and transfer tsRNAs into sperm, which indicates that mature sperm could absorb sncRNA via EV transfer (Figure 1). Potential pathways for epigenetic information flow. Environmental factors are possible to stimulate the somatic cell and germ cell response. In the somatic cells, epigenetic changes, including DNA methylation, histone PTM (Post-Translational Modification), and small non-coding RNA, could react accordingly and communicate with each other. Besides, the changed DNA methylation status in somatic cells may transmit to the germline via the intermediate of some substrate such as odors, hormones, cytokines, RNA, or metabolites. Furthermore, the altered small non-coding RNA is possible to be passed onto the germline via extracellular vesicles. Potential pathways for epigenetic information flow. Environmental factors are possible to stimulate the somatic cell and germ cell response. In the somatic cells, epigenetic changes, including DNA methylation, histone PTM (Post-Translational Modification), and small non-coding RNA, could react accordingly and communicate with each other. Besides, the changed DNA methylation status in somatic cells may transmit to the germline via the intermediate of some substrate such as odors, hormones, cytokines, RNA, or metabolites. Furthermore, the altered small non-coding RNA is possible to be passed onto the germline via extracellular vesicles. As for DNA methylation, the molecules that mediate the transmission of methylation status between soma to germline could be mobile RNAs, hormones, odorants, metabolites, transcription factors, and cytokines (Allis et al., 2015; Kazachenka et al., 2018). Cytokines are sensitive to environmental stimuli and can be distributed rapidly to the whole body. Besides, sperm have been reported to express hormone and olfactory receptors (O’Hara & Smith, 2015; Milardi et al., 2018), therefore, the male germline could respond to the hormone, cytokine, and odorant fluctuations in the blood (Yankulov, 2015). Two potential models for DNA methylation generational inheritance were proposed, namely, the “escapee model” and the “reconstruct model” (Figure 2). Potential mechanisms of DNA methylation inheritance across generations. Some regions could escape DNA methylation reprogramming after fertilization and the PGC development process in the escapee model. In the reconstruct model, after reproduction process, DNA methylation may re-establish with the help of some small non-coding RNAs or transcription factors. Potential mechanisms of DNA methylation inheritance across generations. Some regions could escape DNA methylation reprogramming after fertilization and the PGC development process in the escapee model. In the reconstruct model, after reproduction process, DNA methylation may re-establish with the help of some small non-coding RNAs or transcription factors. After fertilization, the paternal genome undergoes rapid active demethylation, while slower passive demethylation happens to the maternal genome. De novo methylation then begins in blastocysts as tissues start to differentiate. Subsequently, a second more complete demethylation occurs during primordial germ cell (PGC) migration to the undifferentiated gonad. However, DNA methylation reprogramming does not eliminate all DNA methylation marks (Irmler et al., 2020), and some regions can resist this process and act as the so-called “escapee” marks (Figure 2). Imprinted genes, for example, expressed only from one of the parental chromosomes, are regulated by methylation of imprinting control regions (ICRs). During the gametogenesis process, a non-erased imprint may lead to lethality or other specific diseases (Buiting et al., 2003). Besides, other regions such as repetitive elements, evolutionary young retrotransposons, and some single copy loci can escape the DNA methylation reprogramming process and, therefore, can be theoretically transmitted to future offspring (Table 1). For example, many loci were reported to act as escapees in humans, as they were at a minimum of 30% methylation level in the PGC development process (Tang et al., 2015). In this well-designed research, approximately 1,400 escapee regions were in repeat-free loci, mainly in promoter, enhancer, gene body, and CpG-island (CGI) regions. The Transforming Acidic Coiled-Coil Containing Protein 2 (TACC2) is an example of an androgen-responsive cell cycle regulator with an escapee region in its promoter. Many of these escapee-associated genes are expressed in the brain, with latent association to nerve and metabolic disorders (Tang et al., 2015). Reported regions and elements that have the escapee character Note. + indicates the regions or elements that had an escapee character had been reported. Reported regions and elements that have the escapee character Note. + indicates the regions or elements that had an escapee character had been reported. Another study in mice showed that 4,730 loci could escape the PGC methylation reprogramming. More than 95% of these loci were repetitive elements, and 233 single copy loci with a methylation level higher than 40% were observed. Interestingly, these escapees were always adjacent to telomeric or intracisternal A particle (IAP) elements (Hackett et al., 2013). The IAP is an endogenous retroviral sequence and constitutes a class of transposable elements that could induce genomic mutations. Regions and elements that can escape the DNA methylation reprogramming process are summarized in Table 1. In 2013, Jablonka proposed that environmentally induced DNA methylation could be partially erased when transmitted to the next generation (Jablonka, 2013). Therefore, even if the observed phenotype may disappear in the F1 generation, the altered phenotype could be observed again in later generations following a minor environmental stimulation. Later, Miska & Ferguson-Smith (2016) proposed that sncRNA, transcription factors, and metabolic loops could regulate this reconstruct process (Figure 2). The reconstruct model was later partly confirmed by Kazachenka et al. (2018), as their study proved that the methylation of the variably methylated IAP transposons could be re-established between generations. These variably methylated IAP transposons are flanked by binding sites for CTCF (CCCTC binding factor), CTCF is known as a transcription factor, which can be considered a modulator of the methylation status. Therefore, the variably methylated IAPs could be inherited by offspring in a reconstructed way with the help of CTCF. The possible interplay between DNA methylation, small non-coding RNA, and histone PTM is summarized in Figure 1. The loss of H3K9 methylation in embryonic stem cells had been reported to cause CpG methylation to decrease in centromeric satellites, indicating that DNA methylation can be directly regulated by histone methylation such as H3K9 methylation (Lehnertz et al., 2003). Meanwhile, DNA methyltransferase (DNMT) and methylation CpG binding domain (MBD) could recruit complexes containing histone deacetylases (HDACs), therefore influencing histone acetylation (Bird, 2002). Thus, histone PTM and DNA methylation could regulate and influence each other. As for sncRNA, they could also modulate DNA methylation and histone modification. Small non-coding RNAs usually function by silencing the target mRNA. This process recruits Argonaute (AGO) or PIWI (P-element Induced Wimpy testis) proteins, which lead to further recruitment of chromatin-modifying enzymes (CMEs) or DNA methyltransferase (DNMT), thereby regulating histone modification and DNA methylation. Only the germline has the potential to carry nongenetic information to the next generations. Many factors were reported to influence paternal DNA methylation inheritance. For example, nutrition has a significant impact on DNA methylation inheritance. In rodents, offspring of male rats fed a high-fat diet harbored specific DNA methylation patterns (Ng et al., 2010) and showed a reduced birth weight and decreased numbers of islet B cells (de Castro Barbosa et al., 2016), besides, after being fed with a high-fat diet, the sperm of the F0 and F1 rats showed similar DNA methylation and microRNA profile changes (de Castro Barbosa et al., 2016). In male mice, abnormal sperm DNA methylation triggered by prediabetes could also be transmitted and increased the risk of diabetes in the following two generations (Wei et al., 2014a). Other environmental triggers such as chemical molecules were also reported to induce paternal DNA methylation inheritance. The exposure of gestating rats to high doses of endocrine disrupters such as insecticides and fungicides resulted in altered sperm DNA methylation in male offspring, lasting at least four generations (Anway et al., 2005). Similarly, the F1 male offspring of mice exposed to endocrine disrupters during pregnancy showed spermatogenic disorders accompanied by methylation alterations. Interestingly, there were no significant effects in female offspring in this study (Anway et al., 2005). Besides, other endocrine disruptors such as bisphenol A had also been reported to alter sperm DNA methylation, causing hypomethylation of Long Interspersed Element-1 (LINE-1)(Miao et al., 2014). Weyrich et al. (2016) demonstrated that exposure of male wild guinea pigs to high temperatures decreased DNA methylation levels in the liver and testis of F0 and F1 (Weyrich et al., 2016). In zebrafish, maternal DNA methylation profiles are only preserved until the 16-cell stage after fertilization, and then they are erased and reprogrammed. At the blastocyst stage, maternal DNA methylation mimics the sperm methylation profile, indicating that the father plays a more significant role in DNA methylation inheritance in zebrafish (Jiang et al., 2013). Imprinted genes, heterochromatin in centromeric-pericentromeric regions, and repeat elements had been reported to escape DNA methylation reprogramming on the maternal side (Ge & Sun, 2019). The most persuasive evidence of maternal DNA methylation inheritance is the Agouti viable yellow (Avy) loci in mice. Although genetically identical, the coat color of the mice may range from entirely brown to yellow, the methylation of transposable elements could explain this quantifiable color transition phenomenon. The mothers of yellow agouti mice tend always to bear offspring of identical coat color, which can be observed through multiple generations (Cropley et al., 2006). In rodents, transposable elements make up approximately 40% of the whole genome, and most transposons are usually methylated to maintain genome integrity. Only 1% of them could be variably methylated, which means that they could respond to external factors and be inherited by future generations (Kazachenka et al., 2018). Another well-documented example is the Axin-fused (AxinFu) mouse model. In this model, IAP methylation regulates the tail kink phenotype within AxinFu, and DNA methylation can be maternally and paternally inherited in this model (Rakyan et al., 2003). The two cases mentioned above are both transposon methylation inheritance. Considering the factors that affect maternal DNA methylation inheritance, nutritional intake (zinc, vitamin B12, folic acid), maternal obesity, and diabetes can all influence DNA methylation in oocytes, indicating a latent maternal intergenerational DNA methylation inheritance. Similarly, chemicals can also alter oocyte DNA methylation. The exposure of female mice to chemicals such as cyclophosphamide (CPM) before conception resulted in methylation alterations in F1 oocytes, which can be further passed on to the F2 generation (Giovanna et al., 2019). The mitochondrion has a unique structure and is maternally inherited, since sperm mitochondria DNA is in the middle piece of the sperm body and will be lost during fertilization. Abnormal mitochondria DNA mutations can be maternally inherited for several generations (Ge & Sun, 2019). its DNA and this can DNA and are no or regions in the mitochondrial genome, and the structure gene and gene in mitochondria is with methylation, which in different including CpG methylation, methylation, and methylation. The enzymes DNMT1, DNMT3a, DNMT3b, and TET2, were in proving the of CpG methylation in this research that 5mC is maternally inherited, in regions. However, a later study from et al. that the was higher in the mitochondrial genome than the nuclear genome. et al. further in mitochondria and that the replication and the transcription of These that act as the DNA methylation in was the first to study the and of 5mC in dairy 2019). that methylation could be inherited from to early since methylation patterns were more between and blastocysts than Another from also that the 5mC is and not symmetrically distributed on both of mitochondrial DNA in and (de & DNA methylation may also respond to different environmental such as and et al., 2019). the between methylation, maternal inheritance, and phenotype is still a new and of study that requires more and In humans, that parental or offspring more to metabolic or Another study that the DNA methylation level on gene binding protein was higher in to control it decreased in offspring of et al., 2016). is an regulator of which had been reported to be correlated with intergenerational effects et al., 2014). is also evidence that is not For example, in methyl during conception the methylation status of and these methylation changes could also be in and et al., 2014). Besides, exposure before had also been reported to lead to a higher CpG methylation level in sperm, accompanied by a in the metabolic status in offspring et al., 2018). In research showed that an altered parental could lead to changes in DNA methylation of However, provided precise mechanisms by which specific loci could escape or re-establish methylation during methylation reprogramming and how the changes could be A of were to the impact of environmental exposure in mice, and alterations of DNA methylation in were observed in several of these was the first chemical to be with DNA methylation transgenerational inheritance. When rats were exposed to this the F1 fetus and their germline were also exposed at the same DNA methylation of the sperm was altered in each generation with the exposure F1 and F2 generations being from the generation DNA methylation et al., 2018). Furthermore, nutrition had also been proved to influence the F1 in a way et al., 2014). Other factors such as specific odors, and maternal could also impact the DNA methylation status in For example, et al. showed that and their offspring a similar DNA methylation Interestingly, study that exposure to F0 mice could which is a known sperm DNA methylation from F0 and F1 offspring showed hypomethylation CpG in the gene & 2014). Besides, maternal may lead to offspring and this was correlated with the of the methyl CpG binding protein 2 and the hypomethylation of 2 in F1 and F2 et al., 2019). Environmental factors may induce inheritable phenotypes in a nongenetic way in dairy & A study by showed that specific DNA methylation changes in sperm DNA were with and et al., 2018). A study showed that the of the correlated with DNA methylation and alterations in indicating a potential of on offspring development et al., metabolic in resulted in alterations of the DNA methylation profile of The pathways were mainly in metabolic and mitochondrial & 2020), when these were further to the a specific blood DNA methylation as by A of Regions and were were in and regions, and in regions was mainly with methylation higher than were mainly in These that pathways in were with in metabolic by of and et al., is an that could about and a high transgenerational research that was on mainly more on the inherited phenotype of the For example, could induce the transgenerational modification of the and the effects in the at et al., no had been Besides, maternal whole blood and are correlated with their et al., As for the one study showed that exposure during pregnancy could decrease the DNA methylation of in offspring et al., Another study on pigs showed that diet the future offspring the in DNA methylation between F2 could be induced by the of F0 et al., methyl during is also with the DNA methylation in the gene of the offspring et al., 2018). research that most of the in DNA methylation transgenerational research were to genetic factors et al., 2014). and had been in a blood research et al., 2019). et al. that identical offspring with phenotypes and sperm with different methylation patterns et al., that the different of of identical could be to However, study on that identical DNA methylation was similar to of their similar genetic et al., 2018). This indicates that genetic factors influence DNA methylation, to better control genetic when DNA methylation inheritance research et al., 2018). Besides, model also showed that epigenetic were genetically & is also that DNA methylation can be regulated by both and et al., when association study to all the CpG to the single of CpG were with gene regions, and of the were in Meanwhile, DNA methylation could also be regulated by For the transcription could to CpG sites and methyltransferase to hypomethylation of CpG sites et al., 2016). The could be a genetic mutation that occurs at a CpG For example, of methylated Cytosine to Cytosine to & In mutation that a Cytosine may influence methylation at that and methylation can still cause a phenotype the is et al. that sequence or of methylated CpG sites et al., 2014). is also that a genetic mutation will lead to an which could be named as the and to transgenerational inheritance. Therefore, an DNA methylation transgenerational inheritance should be by the genetic than the 2018). The has that can transmit to their Although some of the new phenotype to altered DNA methylation inheritance have been more is still to further the of how epigenetic information from somatic cells to germline then be to and finally be inherited to generations. on or transgenerational inheritance of DNA methylation includes factors that are to (Figure of the factors is DNA sequence which a more and role in the observed phenotype than DNA methylation parental and should all be considered as factors in such factors that should be considered in DNA methylation inheritance Environmental factors, and could all be the possible factors which should be considered at the of the study factors that should be considered in DNA methylation inheritance Environmental factors, and could all be the possible factors which should be considered at the of the study was to association to single or loci to a specific could be to phenotype with DNA methylation. However, this of study usually requires a higher and environmental control to factors as as a the between the phenotype and the altered methylation region will from methylation to specific Another to is the by repetitive elements & methylation of cells could also cell and a in genetic explain all the observed on plants and identical further proved and Therefore, and inheritance the DNA methylation inheritance could help us draw a more blueprint of how phenotypes can be us a better understanding of evolutionary biology. from of potential of were is a in the of of the of and at also the in to reproduction since on and in the model has to a better understanding of oocyte and to oocyte both in and in the of oocyte the epigenetic of male and female as as the in influence on the early in the in is a in the of of the of and at on epigenetic that correlated with the epigenetic and genetic a better for the dairy to their dairy from in male germline stem cell and small chemical molecules induced cell reprogramming. also a in from

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.261
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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