Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-24T05:33:22.989Z Has data issue: false hasContentIssue false

Review: Epigenetics, developmental programming and nutrition in herbivores

Published online by Cambridge University Press:  24 August 2018

P. Chavatte-Palmer*
Affiliation:
UMR BDR, INRA, ENVA, Université Paris Saclay, 78350Jouy en Josas, France
M. A. Velazquez
Affiliation:
School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne NE1 4LE, UK
H. Jammes
Affiliation:
UMR BDR, INRA, ENVA, Université Paris Saclay, 78350Jouy en Josas, France
V. Duranthon
Affiliation:
UMR BDR, INRA, ENVA, Université Paris Saclay, 78350Jouy en Josas, France
*

Abstract

Epidemiological studies in humans and animal models (including ruminants and horses) have highlighted the critical role of nutrition on developmental programming. Indeed, it has been demonstrated that the nutritional environment during the periconceptional period and foetal development can altered the postnatal performance of the resultant offspring. This nutritional programming can be exerted by maternal and paternal lineages and can affect offspring beyond the F1 generation. Alterations in epigenetic mechanisms have been proposed as the causative link behind the programming trajectories observed in the offspring. Although a clear cause–effect relationship between epigenetic modifications during early development and later offspring phenotype has not been demonstrated in livestock species, strong associations have been reported for some epigenetic marks (e.g. messenger RNA) that are worth exploring as possible predictors of future offspring phenotype. In this review, we shortly describe the main epigenetic mechanisms studied so far in mammals (i.e. mainly in the mouse) thought to be associated with developmental programming, and discuss the few studies available in mammalian herbivores (e.g. cattle) showing the effect of nutrition on epigenetic marks and the associated phenotype. Clearly, there is a need to develop research on nutritional strategies capable of modulating the epigenetic machinery with positive influence on the phenotype of livestock herbivores. This type of research is needed to alleviate the challenges currently faced by the livestock industry (e.g. impaired fertility of high-yielding dairy cows). This in turn will have a positive influence on animal welfare and productivity of livestock enterprises.

Type
Review Article
Copyright
© The Animal Consortium 2018 

Implications

The nutritional environment before birth can affect the postnatal performance of offspring. This is believed to be due to alterations exerted by nutrients on the way genes are set to be expressed, resulting in developmental trajectories that have repercussions on postnatal development. This developmental programming we believe need to be considered when developing nutritional strategies in herbivores. The application of this concept will contribute towards a more sustainable, efficient livestock production, which is critical to achieve food security for the rapid population growth predicted for this century.

Introduction

There is an increasing evidence of the role of parental nutrition and environmental conditions, from periods preceeding conception and throughout gestation, on offspring phenotypic development in humans and laboratory animal models but also in domestic mammals (Feeney et al., Reference Feeney, Nilsson and Skinner2014), including ruminants (Bell and Greenwood, Reference Bell and Greenwood2016) and horses (Chavatte-Palmer et al., Reference Chavatte-Palmer, Robles, Tarrade and Duranthon2016). This phenomenon, also called Developmental Origins of Health and Disease (DOHAD) has been linked to epigenetic mechanisms, considered as the organism’s memory of past metabolic and environmental events, to the point that often the two concepts are believed to be highly related.

Direct substantiation that alterations in epigenetic marks are the causative link between maternal or even paternal nutrition and offspring phenotype in mammalian herbivores is currently scarce. Nevertheless, a good understanding of the effect of nutrition and nutriments on the epigenetic machinery may help to predict, prevent or possibly improve phenotypic outcomes. This is a major point considering the current challenges faced by the livestock industry, including alleviation of the decreased fertility in dairy cows, reduction of greenhouse gas emissions from ruminants and the development of nutritional strategies that can cope with climatic changes, especially in ruminants (Soussana et al., Reference Soussana, Fereres, Long, Mohren, Pandya-Lorch, Peltonen-Sainio, Porter, Rosswall and von Braun2012).

After presenting epigenetic processes, this review will focus on the potential epigenetic effects of some nutritional strategies currently used in mammalian herbivores. Therefore, we will use examples where epigenetic outcomes were effectively demonstrated supporting the proposition that the epigenetic bioactivity of feedstuffs and their potential effects on multi-generational or even transgenerational phenotypes should be considered when designing new nutritional strategies in herbivores.

Epigenetic processes

Epigenetic mechanisms are defined as heritable changes affecting gene and genome function that are inherited through mitosis and probably meiosis and do not involve changes in the DNA sequence. These mechanisms as described below are essential during gametogenesis, early embryonic development and subsequent cellular differentiation, whereby they reinforce cell decisions to commit to different fates, and sustain expression of different sets of genes, by making this decision irreversible. Epigenetic marks thus make possible to maintain all the cell lineages sharing a single genome in a single individual. Besides their role in normal cellular differentiation, epigenetic marks could be modified by environmental factors (e.g. nutrition, exposure to drugs or pollutants, stress, etc.) and can be considered as the memory of the cell. Moreover, some major developmental events depend on epigenetic factors, such as X chromosome inactivation in females and regulation of imprinted genes for which only one parental allele is expressed in the offspring.

The role of epigenetic mechanisms leading to the building up of phenotypes in large animals have been described previously (Jammes et al., Reference Jammes, Junien and Chavatte-Palmer2011). Epigenetic mechanisms include but are not limited to DNA methylation, post-translational modifications (PTMs) of histones and small and large non-coding RNAs. Collectively, these mechanisms provide specific chromatin remodelling and select the genomic information that will be transcribed into functional attributes.

Deoxyribonucleic acid methylation

Deoxyribonucleic acid methylation is the most stable and most studied epigenetic modification. In mammals, DNA methylation takes place predominantly on cytosine residues of CpG dinucleotides. Cytosine methylation results from the transfer of a methyl group from S-adenosylmethionine (SAM, the universal methyl group donor) to the carbon-5 position of the cytosine ring. The family of enzymes responsible for DNA methylation are DNA methyltransferases (DNMTs). DMNT1 contributes to maintenance of DNA methylation during DNA replication and cell mitosis, ensuring heritability of the methylation status. DNMT1 preferentially binds to hemi-methylated DNA and copies the DNA methylation of the parental strand to a newly replicated strand. The de novo DNMTs are DNMT3a, DNMT3b and the co-factor DNMT3L. DNMT3a and DNMT3b methylate DNA during embryogenesis and cell differentiation as well as gametogenesis and in response to environmental challenges. DNMT3L lacks a catalytic domain and is proposed to play the role of co-factor, enabling the de novo methylation function of DNAMT3a and DNMT3b.

The genome-wide distribution of DNA methylation is not homogenous and does not have the same effects on gene transcription regardless of its occurrence in promoters, enhancers, gene bodies, CpG rich-regions (namely CpG islands (CGIs)), flanking CGIs or in CpG-poor regions. From the whole genome DNA methylation analysis, it is currently accepted that CGIs often overlap with promoter regions and are unmethylated. When they become methylated, they robustly repress transcription as notably seen in X-chromosome inactivation and genomic imprinting. CG-poor promoters display tissue-specific methylation patterns and there is an inverse correlation between methylation at these promoters and transcription. On the contrary, intragenic methylation positively correlates with transcription. Intergenic methylation was often associated with silencing of repetitive DNA and transposable elements and is involved in the maintenance of genome stability (Jones, Reference Jones2012).

Post-translational modifications of Histone tails

Histone proteins are structural elements involved in the nucleosome formation and DNA package into chromatin. Histones can be submitted to many post-translational modifications (PTMs) affecting mainly the N-terminal tails of core histones, including acetylation (lysine), methylation (lysine and arginine), phosphorylation (serine and threonine), ADP ribosylation, sumoylation (lysine), ubiquitylation (lysine), butyrylation, citrullination, crotonylation, formylation, proline isomerization and propionylation (Prakash and Fournier, Reference Prakash and Fournier2018). PTMs are dynamic and reversible processes. The writing, reading and erasing of these groups are insured by key protein families that control epigenetic signalling. The ‘Histone Code’ hypothesis, whereby distinct histone modifications, on one or more tails, act sequentially or in combination to form a ‘histone code’ that is read by other proteins to bring about distinct downstream events, has been proposed (Strahl and Allis, Reference Strahl and Allis2000). Thus, the presence of these different chemical groups in histone tails greatly influences the histone–DNA interactions and defines chromatin structure affecting gene expression.

Within the PTMs, histone acetylation and histone methylation are the most studied mechanisms in relation with the nutritional status of individuals. Histone acetylation is regulated by the balanced action of histone acetyltransferase and histone deacetylases, largely studied for their potential therapeutic use as anti-cancerous agents. Acetylation of histone tails loosens the histone–DNA interactions, thus enabling the DNA access to transcription machinery leading to gene expression, whereas deacetylation of histone tails strengthens the interactions of histones with DNA and is generally associated with gene repression. Histone methylation levels are also dynamically regulated, such as acetylation of histones, by histone methyltransferases and histone demethylases. Lysine residues (K4, 9, 27, 36 and 79 for H3; K20 for H4) can be mono-, di- or tri-methylated, whereas argine residues can become only mono-methylated. As for DNA methylation, SAM is required as a methyl donor for histone methylation. The effect of this PTM depends on both the modified residue and the extent of methylation: methylation of histone H3 on lysine 4 and 36 is related to an open chromatin structure and thus, an active transcriptional state, whereas H3K9 and H3K27 methylation recruits proteins that compact chromatin, which generally results in gene silencing.

Non-coding RNA

Only about 20% of gene transcription across the mammalian genome is associated with protein-coding genes indicating that ~80% of transcripts are non-coding (Nolte-‘t Hoen et al., Reference Nolte-‘t Hoen, Van Rooij, Bushell, Zhang, Dashwood, James, Harris and Baltimore2015). Non-coding RNAs include the small RNAs (sncRNAs; <200 nucleotides) consisting mainly of microRNAs (miRNAs, 19–24 nucleotides long), short interfering RNAs, Piwi-interacting RNAs, small nucleolar RNAs and the long non-coding RNAs (lcRNAs).

The most studied family of sncRNAs is the miRNAs, defined as endogenous, single-strand, non-coding sncRNAs that act at the post-transcriptional level by binding target complementary sequences of messenger RNAs. Their precursors are large primary-miRNAs generated by Pol-II mediated transcription that are subsequently processed in the nucleus to long premature miRNAs and subsequently cleaved by the DICER enzyme (RNAse type III enzyme) in the cytoplasm. After introduction in the RNA-induced silencing complex, the complementary mRNA sequences are targeted and either degraded or their translation inhibited. MiRNAs can remain in the cell (intra-cellular miRNAs) but also be transferred to the extra-cellular fluid compartments either free, in exosomes, in apoptotic bodies, or in association with high-density lipoproteins or bound to RNA-binding proteins (Rome, Reference Rome2015). These extra-cellular miRNAs are disseminated and target other organs (Nolte-‘t Hoen et al., Reference Nolte-‘t Hoen, Van Rooij, Bushell, Zhang, Dashwood, James, Harris and Baltimore2015).

The miRNAs are well conserved among species (Chen and Rajewsky, Reference Chen and Rajewsky2007). They regulate gene expression through multiple pathways. Most miRNAs have several targets (Ross and Davis, Reference Ross and Davis2014) and may also interact with other RNAs that are not their direct target to modulate gene expression (Pasquinelli, Reference Pasquinelli2012). Some miRNAs have been shown to be involved in global DNA hypomethylation as they target DNMTs in 3ʹuntranslated regions of genes. For example, in cattle, miRNA-152 was shown to target DNMT1 (Wang et al., Reference Wang, Bian, Wang, Li, Wang, Li and Gao2014).

Extra-cellular miRNAs vary depending on the individual’s nutritional status as a result of interactions with the gut flora, with specific variation of the same miRNAs in the stools and in the blood of individuals in response to specific nutriments, but also as a response to specific properties of nutriments, such as anti-inflammatory activity (Rome, Reference Rome2015). Studies also indicate that miRNAs contained in nutriments may also cross the intestinal barrier and be transported to target organs such as the liver or the pancreas, where they can induce metabolic responses (Nolte-‘t Hoen et al., Reference Nolte-‘t Hoen, Van Rooij, Bushell, Zhang, Dashwood, James, Harris and Baltimore2015). Thus, the quantity and the composition of miRNA containing extra-cellular vesicles correlate well with many physiological and pathological conditions (Delage and Dashwood, Reference Delage and Dashwood2008) and they are obvious candidates as biomarkers and/or to modulate phenotypes in domestic species (Rome, Reference Rome2015).

Long non-coding RNAs (>200 nucleotides) are very diverse and poorly conserved among species (Ma et al., Reference Ma, Bajic and Zhang2013). They are also largely involved in transcriptional regulation. The most studied lncRNAs are involved in biological process such as X chromosome inactivation in females and genome imprinting (Borensztein et al., Reference Borensztein, Syx, Ancelin, Diabangouaya, Picard, Liu, Liang, Vassilev, Galupa, Servant, Barillot, Surani, Chen and Heard2017). The molecular mechanisms whereby these lncRNAs act are very complex and specific of each locus; generally, the production of lncRNA drives a local transcriptional silencing (Ma et al., Reference Ma, Bajic and Zhang2013).

Nutritional recommendations and dietary strategies

In the recent literature, research has focused on adjusting nutritional recommendations for herbivores to adapt to global warming, reduce the C footprint of dairy cattle (Wilkinson and Garnsworthy, Reference Wilkinson and Garnsworthy2016) and enhance cow health, fertility and welfare (Sordillo, Reference Sordillo2016; McGuffey, Reference McGuffey2017; Lean et al., Reference Lean, de Ondarza, Sniffen, Santos and Griswold2018).

Recommendations for reducing C footprint in dairy cattle include the use of maize silage, forage and rough feed (Wilkinson and Garnsworthy, Reference Wilkinson and Garnsworthy2016). This increase in dietary fibre, proposed in ruminants, is also proposed in horses where the supplementation of pregnant mares with cereal concentrates is common (Vander Heyden et al., Reference Vander Heyden, Lejeune, Caudron, Detilleux, Sandersen, Chavatte, Paris, Deliege and Serteyn2013; Winkelsett et al., Reference Winkelsett, Vervuert, Granel, Borchers and Coenen2005). Indeed, supplementation with carbohydrates in pregnant mares has been associated with increased osteoarticular pathology and impaired glucose homeostasis in offspring (Peugnet et al., Reference Peugnet, Robles, Wimel, Tarrade and Chavatte-Palmer2016). In ruminants, diets high in dietary fibre reduce the proportion of methionine and lysine in the duodenum, important amino acids (AA) that have been considered the most limiting AA in North American diets for lactating cows (Lean et al., Reference Lean, de Ondarza, Sniffen, Santos and Griswold2018).

In view of reducing the costs and the environmental impact in terms of nitrogen output in manure, the use of diets with reduced proteins are currently being considered for ruminant nutrition (Sinclair et al., Reference Sinclair, Garnsworthy, Mann and Sinclair2014). In a recent meta-analysis, protein restriction in dairy cows was shown to have varying effects on milk yield and health with no significant effect on fertility. Protected AA supplementation (in particular methionine, lysine and histidine) in ruminant nutrition have been used for many years to improve post-absorptive AA balance.

In addition, the use of phytonutriments is being explored in ruminants due to their bioactive properties such as improving immune responses, reducing oxidative stress and regulating insulin secretion and sensitivity (Oh et al., Reference Oh, Wall, Bravo and Hristov2017).

Epigenetic effects of nutrients: importance of one-carbon metabolism

The above-mentioned feeding practices may induce epigenetic modifications that could subsequently affect parental gametes, embryo development and phenotype and performance of offspring. Indeed, epigenetic mechanisms elicited by nutritional factors are numerous (Delage and Dashwood, Reference Delage and Dashwood2008; Canani et al., Reference Canani, Costanzo, Leone, Bedogni, Brambilla, Cianfarani, Nobili, Pietrobelli and Agostoni2011; Ross and Davis, Reference Ross and Davis2014) (Table 1). Factors in herbivore and particularly ruminant nutrition that could possibly induce epigenetic modifications are discussed below.

Table 1 Nutritional factors relevant to herbivore nutrition and their epigenetic roles in animal and human research, updated from Delage and Dashwood (Reference Delage and Dashwood2008); Canani et al. (Reference Canani, Costanzo, Leone, Bedogni, Brambilla, Cianfarani, Nobili, Pietrobelli and Agostoni2011)

Of particular interest is methionine as a precursor of SAM. Indeed, SAM is not only the primary methyl donor for DNA methylation, but also for protein and histone methylation. S-adenosylmethionine is a species generated in the cyclical cellular process called one-carbon metabolism. One-carbon metabolism is catalysed by several enzymes in the presence of dietary micronutrients, including folate, choline, betaine and co-factors such as B vitamins (B12, B6 and B2). Thus, any imbalance in these nutritional factors may possibly affect epigenetic marks.

Consequences on developmental programming

Evidence of prenatal programming of production traits in mammalian herbivores through maternal nutrition and metabolic conditions have been recently reviewed elsewhere (Feeney et al., Reference Feeney, Nilsson and Skinner2014; Bell and Greenwood, Reference Bell and Greenwood2016; Chavatte-Palmer et al., Reference Chavatte-Palmer, Robles, Tarrade and Duranthon2016). Nevertheless, studies where epigenetic marks have been analysed in response to nutritional intervention during development, in order to understand the mechanistic role of specific nutriments, remain scarce. The following section presents selected examples from animal and human studies as proof of concept for epigenetic inheritance of phenotype. Where available, we will highlight studies in herbivores where demonstration of epigenetic mechanisms has been established.

Gamete quality

Two phases of whole epigenome ‘reprograming’, and especially DNA methylome reprograming, have been identified during the life of an individual. The first one takes place during gametogenesis and the second one during the early embryo development. According to data obtained in mouse models, highly methylated primordial germ cells are progressively demethylated during their proliferation and migration phases towards the still undifferentiated foetal gonads (Smallwood and Kelsey, Reference Smallwood and Kelsey2012). At the time of sex determination, PGCs are thus poorly methylated in the foetal gonads. Then, de novo methylation occurs but at different times for male and female germ cells. In male germ cells, de novo DNA methylation occurs in foetal prospermatogonia arrested in mitosis. At birth, male germ cells methylome has already been re-established and will be maintained during the individual’s life by methylation maintenance activity during the proliferation phase (Smallwood and Kelsey, Reference Smallwood and Kelsey2012). Conversely, de novo methylation in female germ cells only occurs after birth during the concomitant phases of oocyte and follicular growth, when germ cells do not proliferate and thus does not require maintenance activity. Beyond these differences, the final distribution of methylated CpGs in the genome differs between oocyte and sperm (Stewart et al., Reference Stewart, Veselovska and Kelsey2016). Among the differences, regions involved in the regulation of imprinted genes are differentially methylated during oogenesis and spermatogenesis.

Histone modifications are also very dynamic during spermatogenesis and are associated with incorporation of highly sperm-specific histone variants (Ly et al., Reference Ly, Chan and Trasler2015). Finally, the majority of histones are removed and replaced by protamines. The remaining histones and other chromatin proteins are located in structurally and transcriptionally relevant positions in the genome and carry diverse PTM relevant to the control of embryonic gene expression (Meyer et al., Reference Meyer, Rosenkrantz, Carbone and Chavez2017).

The oocyte nucleus is also a carrier of epigenetic information and recent evidence revealed that large domains labelled with specific histone modifications during oogenesis are inherited by the early embryo’s genome and may be responsible for early embryonic gene expression (Dahl et al., Reference Dahl, Jung, Aanes, Greggains, Manaf, Lerdrup, Li, Kuan, Li, Lee, Preissl, Jermstad, Haugen, Suganthan, Bjoras, Hansen, Dalen, Fedorcsak, Ren and Klungland2016).

Effects through the paternal germline

Epidemiological data in humans demonstrate hereditary transmission of metabolic traits though the paternal germ line. For example, children of males whose mothers underwent to severe undernutrition while pregnant during the Amsterdam famine in the winter of 1944–1945 had increased adiposity compared with controls born before or conceived after the famine (Veenendaal et al., Reference Veenendaal, Painter, de Rooij, Bossuyt, van der Post, Gluckman, Hanson and Roseboom2013). Such paternal transmission of metabolic traits has also been demonstrated in rodent models, with many nutritional, metabolic or stress-linked conditions in males associated with offspring phenotypic and epigenetic modifications (Carone et al., Reference Carone, Fauquier, Habib, Shea, Hart, Li, Bock, Li, Gu, Zamore, Meissner, Weng, Hofmann, Friedman and Rando2010). Modifications in sperm include changes in DNA methylation (Lambrot et al., Reference Lambrot, Xu, Saint-Phar, Chountalos, Cohen, Paquet, Suderman, Hallett and Kimmins2013; Martinez et al., Reference Martinez, Pentinat, Ribo, Daviaud, Bloks, Cebria, Villalmanzo, Kalko, Ramon-Krauel, Diaz, Plosch, Tost and Jimenez-Chillaron2014), histone composition (Terashima et al., Reference Terashima, Barbour, Ren, Yu, Han and Muegge2015) but also in sperm miRNA. In an elegant experiment in rodents, it was shown that the offspring of nutritionally induced obese, diabetic male mice also developed obesity. The injection of miRNA isolated from the sperm of these obese males into one cell embryos that were subsequently transferred to control females induced the same phenotype, highlighting the important role of sperm miRNA (Grandjean et al., Reference Grandjean, Fourre, De Abreu, Derieppe, Remy and Rassoulzadegan2015).

In domestic animals, epigenetic modifications in sperm were associated with fertility, age or environment (Rahman et al., Reference Rahman, Kamal, Rijsselaere, Vandaele, Shamsuddin and Van Soom2014; Kutchy et al., Reference Kutchy, Menezes, Chiappetta, Tan, Wills, Kaya, Topper, Moura, Perkins and Memili2018; Lambert et al., Reference Lambert, Blondin, Vigneault, Labrecque, Dufort and Sirard2018). More recently, semen from high and low fertility bulls was characterized for its DNA methylation signatures and used to produce embryos by in vitro fertilization. Despite similar morphology and development to the blastocyst stage, preimplantation embryos derived from high and low fertility bulls displayed significant transcriptomic differences (Kropp et al., Reference Kropp, Carrillo, Namous, Daniels, Salih, Song and Khatib2017). To our knowledge, no studies have been performed so far to determine the effect of nutrition on epigenetic maturity of male gametes in domesticated animals and its consequence on subsequent offspring.

Embryo quality

The second genome-wide epigenetic reprograming takes place during early embryonic development. It starts at fertilization, when both parental genomes meet in the same oocyte inherited cytoplasm. It is first marked by the replacement of sperm protamines by histones (in contrast to what happens during spermiogenesis), together with an overall DNA demethylation accompanied by important histone modifications. DNA demethylation affects both paternal and maternal genomes at different times, and by partially different mechanisms (Canovas and Ross, Reference Canovas and Ross2016). In the mouse embryo, the average DNA methylation reaches its lowest level at the blastocyst stage. DNA methylation then considerably increases in the epiblast and to a lesser extent in the extraembryonic lineages (visceral endoderm and trophectoderm), which correlates with a sharp increase in the expression of de novo methylase enzymes in the epiblast (Zhang et al., Reference Zhang, Xiang, Yin, Du, Peng, Wang, Fidalgo, Xia, Li, Zhao, Zhang, Ma, Xu, Wang, Li and Xie2018). Histones are also subject to massive reprograming during early development with a tendency to the removal of transcription-repressive marks and their replacement by rather permissive ones. These modifications correlate with and are necessary to the transcriptional activation of the newly formed embryonic genome.

Methionine is required for normal developmental of the bovine embryo. Using ethionine, a compound that blocks the metabolism of methionine in the One-carbon cycle, it was shown that methionine was necessary for development from the morula to the blastocyst stage (Ikeda et al., Reference Ikeda, Sugimoto and Kume2012). Addition of SAM to the culture media restored development to the blastocyst stage. Subsequently, the effects of maternal supplementation on gene expression at the blastocyst stage were evaluated in embryos recovered from cows supplemented with different levels of methionine (1.89% v. 2.43% of metabolizable protein) from calving to embryo collection (Penagaricano et al., Reference Penagaricano, Souza, Carvalho, Driver, Gambra, Kropp, Hackbart, Luchini, Shaver, Wiltbank and Khatib2013). The number of recovered embryos and their quality were not affected (Wiltbank et al., Reference Wiltbank, Garcia-Guerra, Carvalho, Hackbart, Bender, Souza, Toledo, Baez, Surjus and Sartori2014) but RNA sequencing analysis of resultant high quality embryos revealed that the small increase in methionine supplementation induced important down-regulation of genes involved in embryo development and immune responses. One of the two upregulated genes reported coded for apolipoprotein L, 3 like, which is involved in transport and metabolism of lipids and cholesterol. The authors hypothesized that as the concentrations of methionine, histidine and lysine are rate limiting in the uterine fluids of pregnant cows at the time of embryonic elongation (Hugentobler et al., Reference Hugentobler, Diskin, Leese, Humpherson, Watson, Sreenan and Morris2007), these effects may be beneficial. Subsequent work showed in a limited number of animals that methionine supplementation before and 30 days after calving reduced blastocyst methylation, whereas methionine supplementation at the time of follicular growth and embryo production did not affect methylation but increased lipid contents of blastocysts (Acosta et al., Reference Acosta, Denicol, Tribulo, Rivelli, Skenandore, Zhou, Luchini, Correa, Hansen and Cardoso2016).

Placental function

In domestic herbivores, the placental structure is classified as epitheliochorial, that is, the chorion (foetal placenta) faces the maternal uterine endometrium. This contrasts with the hemochorial placenta of rodents and primates, where the chorion is directly in contact with maternal blood. Nutrient transport across the placenta relies on a wide variety of mechanisms, involving in particular passive and active transporters. Transplacental transfers are regulated by maternal nutrition: the placenta acts as a sensor to nutrient availability through signalling pathways such as the mammalian target of rapamycin (mTOR) complex that regulates AA-transport or the peroxisome proliferator-activated receptor γ (PPARγ) involved in the regulation of lipid pathways. Moreover, the placenta is an endocrine organ that produces growth factors such as the maternally imprinted IGF2 and a large variety of hormones, including steroid hormones.

Maternal nutrition with nutriments that affect epigenetic marks may induce direct effects on placental function, acting on transporters, placental sensors or growth factors and hormones or affect foetal development through the action of active compounds on the foetus.

Indeed, pregnant ewe supplementation with protected methionine in the last month of gestation produced lambs that tended to be heavier than non-treated controls (Liu et al., Reference Liu, Lei, Hancock, Scanlan, Broomfield, Currie and Thompson2016). Similarly, in dairy cows, treatment with protected methionine in the last month of gestation resulted in increased plasma methionine concentrations (by 29%), maternal food intake, maternal plasma insulin concentrations and calf birth weight. These incremental changes were associated with upregulation of placental genes involved in neutral AA and glucose transport together with increased gene and protein expression of mTOR (Batistel et al., Reference Batistel, Alharthi, Wang, Parys, Pan, Cardoso and Loor2017). In these example, DNA methylation was not explored and it is thus difficult to conclude whether effects were mediated by epigenetic mechanisms.

Maternal diet and long-term effect: foetal and post-natal development and health

In sheep, maternal nutrition (corn diet v. hay) in the second half of gestation significantly reduced the expression of imprinted (H19, MEG8, PEG1, DLK1 and IGF2R) and DNMT genes in the muscles of late pregnancy foetuses (Lan et al., Reference Lan, Cretney, Kropp, Khateeb, Berg, Penagaricano, Magness, Radunz and Khatib2013). The authors suggested that the higher gene expression in the hay group could be related to a reduced availability of dietary methionine in hay. Indeed, higher methylation was observed for the paternally imprinted IGF2R in the muscle of offspring from corn-fed dams.

Similarly, in Angus-cross beef cattle, a high-starch, corn-based maternal diet was shown to increase calf birthweight compared with calves born to dams fed an isocaloric grass hay based diet (Radunz et al., Reference Radunz, Fluharty, Relling, Felix, Shoup, Zerby and Loerch2012). A 2-year old offspring also had modified glucose and insulin metabolism as well as lower marbling scores and reduced intramuscular lipid contents. These were associated with increased expression of imprinted genes in muscle, together with increased expression of DNMT3a (Wang et al., Reference Wang, Lan, Radunz and Khatib2015).

Although these studies seem to indicate that DNA methylation is a major mechanism explaining the observed effects, a combination of different epigenetic mechanisms is likely to occur. Indeed, supplementation of beef cows with grain mix in the last third of gestation was shown to increase feed intake and reduce basal plasma insulin in offspring with no significant effects on marbling score and only moderate modification in gene expression in Longissimus muscle (Moisa et al., Reference Moisa, Shike, Shoup, Rodriguez-Zas and Loor2015). Nevertheless, downregulation of the anti-adipogenic miRNA-34a was observed in the muscle of the offspring of moderately supplemented cows. Furthermore, an interaction between maternal diet and weaning time was observed for miRNAs involved in the regulation of adipogenesis and insulin resistance (Moisa et al., Reference Moisa, Shike, Shoup and Loor2016).

Generally, dietary supplementation is used in the peripartum period in order to prevent or limit the negative energy balance usually observed in high-yielding dairy cows. As previously described, methionine participates to the 1-C metabolism and to synthesis of SAM. A rumen-protected methionine supplementation to the diet given to Holstein cows throughout the peripartum period was shown to upregulate PPARα gene expression and its target genes (ANGPTL4, FGF21 and PCK1) in liver (Osorio et al., Reference Osorio, Jacometo, Zhou, Luchini, Cardoso and Loor2016) associated with improved lipid metabolism and immune function (Li et al., Reference Li, Batistel, Osorio, Drackley, Luchini and Loor2016). Moreover, methionine supplementation induced a decrease in global hepatic DNA methylation and an increase in the methylation of CpG in PPARα promoter region (Osorio et al., Reference Osorio, Jacometo, Zhou, Luchini, Cardoso and Loor2016). This was the first study to demonstrate an epigenetic effects of methionine supplementation on adult tissues in ruminants. Nevertheless, the mechanistic connections between global DNA and region-specific PPARα methylation with PPARα gene expression and functional outcomes in liver remain to be elucidated. Moreover, follow up of the resultant offspring will be also beneficial to determine possible multigenerational effects and the associated epigenetic mechanisms.

Diets rich in folic acid or/and vitamin B12 have complex effect on lactation performance and dry matter intake, with an increase in plasma glucose and a decrease in hepatic lipids. In sheep, restricting the supply of vitamin B12 and folate during the periconceptional period led to widespread epigenetic alterations to liver DNA methylation in offspring and modified adult health-related phenotypes (Sinclair et al., Reference Sinclair, Allegrucci, Singh, Gardner, Sebastian, Bispham, Thurston, Huntley, Rees, Maloney, Lea, Craigon, McEvoy and Young2007). Thus, in dairy cows, it would also be interesting to evaluate the effects of maternal folate/vitamin B12 supplementation diet during the periconceptional period on offspring health. Taking into account that around conception, embryo development competes for nutrients with mammary gland in dairy cows, it was demonstrated that females born to mothers that were lactating while pregnant produced less milk, lived shorter and were metabolically less efficient than females whose foetal life developed in the absence of maternal lactation (Gonzalez-Recio et al., Reference Gonzalez-Recio, Ugarte and Bach2012). Although these multigenerationnal effects are relatively low, they should not be ignored and a vitamin-supplemented diet could be a positive nutritional strategy to be used.

Epigenetics in large animals: needs for further research

Epigenetic research is less developed in farm animals compared with humans or laboratory animals such as rodents due to technical difficulties because tools are as yet scarce, although recent progress has made available high throughput methylome analyses of embryos and somatic tissues (Doherty and Couldrey, Reference Doherty and Couldrey2014; Kiefer et al., Reference Kiefer, Jouneau, Campion, Rousseau-Ralliard, Larcher, Martin-Magniette, Balzergue, Ledevin, Prezelin, Chavatte-Palmer, Heyman, Richard, Le Bourhis, Renard and Jammes2016). This is further complicated by issues on funding availability and lack of scientific recognition. It is clear that genomics alone does not account for heritable variation in production traits and considering epigenetic regulation in animal selection could improve the prediction of phenotypes and enable a better evaluation of individual genitors (Jammes et al., Reference Jammes, Junien and Chavatte-Palmer2011).

As a first approach, the potential use of epigenetic marks in embryo biopsies, in placenta or in newborn blood as predictive biomarkers of offspring phenotype could be explored. The monitoring of changes in epigenetic marks in individual animals could also be used as tools to monitor responses to dietary interventions in the dam or in the early post-natal period, before obvious phenotypic changes are observed. Indeed, it was shown that progressive silencing of Pdx1 gene in the pancreas preceded the clinical onset of diabetes in rats born after intra-uterine growth retardation (Park et al., Reference Park, Stoffers, Nicholls and Simmons2008). Finally, epigenetic marks in sperm such as DNA methylation (Lambrot et al., Reference Lambrot, Xu, Saint-Phar, Chountalos, Cohen, Paquet, Suderman, Hallett and Kimmins2013) or microRNA (Grandjean et al., Reference Grandjean, Fourre, De Abreu, Derieppe, Remy and Rassoulzadegan2015) may be possibly be used for selection of sires in animal production.

Conclusion

In the view of the data presented here, nutritional strategies used in animals can affect not only the performance of the animals, but also the epigenetic marks of themselves and their progeny. So far, the only transgenerational study of transmission of epigenetic marks in domestic species is in pigs (Braunschweig et al., Reference Braunschweig, Jagannathan, Gutzwiller and Bee2012) but it is likely that they will also be demonstrated in other domestic animals (Feeney et al., Reference Feeney, Nilsson and Skinner2014). Thus, the long-term effects on offspring of new nutritional strategies should be evaluated before widely spreading their use in commercial herds. Moreover, the importance of epigenetic markers such as DNA methylation in sperm, placenta or cord blood or measurement of plasma miRNA to predict phenotype must be explored.

Acknowledgements

The authors belong to the past European COST actions GEMINI FA0702, EPICONCEPT FA1201 and to the current COST action SALAAM BM1308.

Declaration of interest

The authors have no conflict of interest to declare.

Ethics statement

This article is a literature review. No ethical approval was required as no experimental work was performed.

Software and data repository resources

This article is a literature review. No data or model was generated.

References

Acosta, DAV, Denicol, AC, Tribulo, P, Rivelli, MI, Skenandore, C, Zhou, Z, Luchini, D, Correa, MN, Hansen, PJ and Cardoso, FC 2016. Effects of rumen-protected methionine and choline supplementation on the preimplantation embryo in Holstein cows. Theriogenology 85, 16691679.Google Scholar
Batistel, F, Alharthi, AS, Wang, L, Parys, C, Pan, YX, Cardoso, FC and Loor, JJ 2017. Placentome nutrient transporters and mammalian target of rapamycin signaling proteins are altered by the methionine supply during late gestation in dairy cows and are associated with newborn birth weight. Journal of Nutrition 147, 16401647.Google Scholar
Bell, AW and Greenwood, PL 2016. Prenatal origins of postnatal variation in growth, development and productivity of ruminants. Animal Production Science 56, 12171232.Google Scholar
Borensztein, M, Syx, L, Ancelin, K, Diabangouaya, P, Picard, C, Liu, T, Liang, JB, Vassilev, I, Galupa, R, Servant, N, Barillot, E, Surani, A, Chen, CJ and Heard, E 2017. Xist-dependent imprinted X inactivation and the early developmental consequences of its failure. Nature Structural & Molecular Biology 24, 226233.Google Scholar
Braunschweig, M, Jagannathan, V, Gutzwiller, A and Bee, G 2012. Investigations on transgenerational epigenetic response down the male line in F2 pigs. Plos One 7, e30583.Google Scholar
Canani, RB, Costanzo, MD, Leone, L, Bedogni, G, Brambilla, P, Cianfarani, S, Nobili, V, Pietrobelli, A and Agostoni, C 2011. Epigenetic mechanisms elicited by nutrition in early life. Nutrition Research Reviews 24, 198205.Google Scholar
Canovas, S and Ross, PJ 2016. Epigenetics in preimplantation mammalian development. Theriogenology 86, 6979.Google Scholar
Carone, BR, Fauquier, L, Habib, N, Shea, JM, Hart, CE, Li, R, Bock, C, Li, C, Gu, H, Zamore, PD, Meissner, A, Weng, Z, Hofmann, HA, Friedman, NM and Rando, OJ 2010. Paternally induced transgenerational environmental reprogramming of metabolic gene expression in mammals. Cell 143, 10841096.Google Scholar
Chavatte-Palmer, P, Robles, M, Tarrade, A and Duranthon, V 2016. Gametes, embryos, and their epigenome: considerations for equine embryo technologies. Journal of Equine Veterinary Science 41, 1321.Google Scholar
Chen, K and Rajewsky, N 2007. The evolution of gene regulation by transcription factors and microRNAs. Nature Reviews Genetics 8, 93103.Google Scholar
Dahl, JA, Jung, I, Aanes, H, Greggains, GD, Manaf, A, Lerdrup, M, Li, G, Kuan, S, Li, B, Lee, AY, Preissl, S, Jermstad, I, Haugen, MH, Suganthan, R, Bjoras, M, Hansen, K, Dalen, KT, Fedorcsak, P, Ren, B and Klungland, A 2016. Broad histone H3K4me3 domains in mouse oocytes modulate maternal-to-zygotic transition. Nature 537, 548552.Google Scholar
Delage, B and Dashwood, RH 2008. Dietary manipulation of histone structure and function. Annual Review of Nutrition 28, 347366.Google Scholar
Doherty, R and Couldrey, C 2014. Exploring genome wide bisulfite sequencing for DNA methylation analysis in livestock: a technical assessment. Frontiers in Genetics 5, 126.Google Scholar
Feeney, A, Nilsson, E and Skinner, MK 2014. Epigenetics and transgenerational inheritance in domesticated farm animals. Journal of Animal Science and Biotechnology 5, 48.Google Scholar
Gonzalez-Recio, O, Ugarte, E and Bach, A 2012. Trans-generational effect of maternal lactation during pregnancy: a Holstein cow model. Plos One 7, e51816.Google Scholar
Grandjean, V, Fourre, S, De Abreu, DA, Derieppe, MA, Remy, JJ and Rassoulzadegan, M 2015. RNA-mediated paternal heredity of diet-induced obesity and metabolic disorders. Scientific Reports 5, 18193.Google Scholar
Hugentobler, SA, Diskin, MG, Leese, HJ, Humpherson, PG, Watson, T, Sreenan, JM and Morris, DG 2007. Amino acids in oviduct and uterine fluid and blood plasma during the estrous cycle in the bovine. Molecular Reproduction Development 74, 445454.Google Scholar
Ikeda, S, Sugimoto, M and Kume, S 2012. Importance of methionine metabolism in morula-to-blastocyst transition in bovine preimplantation embryos. Journal of Reproduction and Development 58, 9197.Google Scholar
Jammes, H, Junien, C and Chavatte-Palmer, P 2011. Epigenetic control of development and expression of quantitative traits. Reproduction Fertility Development 23, 6474.Google Scholar
Jones, PA 2012. Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nature Reviews Genetics 13, 484492.Google Scholar
Kiefer, H, Jouneau, L, Campion, E, Rousseau-Ralliard, D, Larcher, T, Martin-Magniette, M-L, Balzergue, S, Ledevin, M, Prezelin, A, Chavatte-Palmer, P, Heyman, Y, Richard, C, Le Bourhis, D, Renard, J-P and Jammes, H 2016. Altered DNA methylation associated with an abnormal liver phenotype in a cattle model with a high incidence of perinatal pathologies. Scientific Reports 6, 38869.Google Scholar
Kropp, J, Carrillo, JA, Namous, H, Daniels, A, Salih, SM, Song, J and Khatib, H 2017. Male fertility status is associated with DNA methylation signatures in sperm and transcriptomic profiles of bovine preimplantation embryos. BMC Genomics 18, 280.Google Scholar
Kutchy, NA, Menezes, ESB, Chiappetta, A, Tan, W, Wills, RW, Kaya, A, Topper, E, Moura, AA, Perkins, AD and Memili, E 2018. Acetylation and methylation of sperm histone 3 lysine 27 (H3K27ac and H3K27me3) are associated with bull fertility. Andrologia 50, e12915.Google Scholar
Lambert, S, Blondin, P, Vigneault, C, Labrecque, R, Dufort, I and Sirard, MA 2018. Spermatozoa DNA methylation patterns differ due to peripubertal age in bulls. Theriogenology 106, 2129.Google Scholar
Lambrot, R, Xu, C, Saint-Phar, S, Chountalos, G, Cohen, T, Paquet, M, Suderman, M, Hallett, M and Kimmins, S 2013. Low paternal dietary folate alters the mouse sperm epigenome and is associated with negative pregnancy outcomes. Nature communications 4, 2889.Google Scholar
Lan, X, Cretney, EC, Kropp, J, Khateeb, K, Berg, MA, Penagaricano, F, Magness, R, Radunz, AE and Khatib, H 2013. Maternal diet during pregnancy induces gene expression and DNA methylation changes in fetal tissues in sheep. Frontiers in Genetics 4, 49.Google Scholar
Lean, IJ, de Ondarza, MB, Sniffen, CJ, Santos, JEP and Griswold, KE 2018. Meta-analysis to predict the effects of metabolizable amino acids on dairy cattle performance. Journal of Dairy Science 101, 340364.Google Scholar
Li, C, Batistel, F, Osorio, JS, Drackley, JK, Luchini, D and Loor, JJ 2016. Peripartal rumen-protected methionine supplementation to higher energy diets elicits positive effects on blood neutrophil gene networks, performance and liver lipid content in dairy cows. Journal of Animal Science and Biotechnology 7, 18.Google Scholar
Liu, S, Lei, J, Hancock, S, Scanlan, V, Broomfield, S, Currie, A and Thompson, A 2016. Lamb survival, glutathione redox state and immune function of neonates and lambs from periparturient Merino ewes supplemented with rumen-protected methionine. Archives of Animal Nutrition 70, 389401.Google Scholar
Ly, L, Chan, D and Trasler, JM 2015. Developmental windows of susceptibility for epigenetic inheritance through the male germline. Seminars in Cell and Developmental Biology 43, 96105.Google Scholar
Ma, L, Bajic, VB and Zhang, Z 2013. On the classification of long non-coding RNAs. RNA Biology 10, 925933.Google Scholar
Martinez, D, Pentinat, T, Ribo, S, Daviaud, C, Bloks, VW, Cebria, J, Villalmanzo, N, Kalko, SG, Ramon-Krauel, M, Diaz, R, Plosch, T, Tost, J and Jimenez-Chillaron, JC 2014. In utero undernutrition in male mice programs liver lipid metabolism in the second-generation offspring involving altered lxra DNA methylation. Cell Metabolism 19, 941951.Google Scholar
McGuffey, RK 2017. A 100-year review: metabolic modifiers in dairy cattle nutrition. Journal of Dairy Science 100, 1011310142.Google Scholar
Meyer, TJ, Rosenkrantz, JL, Carbone, L and Chavez, SL 2017. Endogenous retroviruses: with us and against us. Frontiers in Chemistry 5, 23.Google Scholar
Moisa, SJ, Shike, DW, Shoup, L and Loor, JJ 2016. Maternal plane of nutrition during late-gestation and weaning age alter steer calf longissimus muscle adipogenic microrna and target gene expression. Lipids 51, 123138.Google Scholar
Moisa, SJ, Shike, DW, Shoup, L, Rodriguez-Zas, SL and Loor, JJ 2015. Maternal plane of nutrition during late gestation and weaning age alter angus x simmental offspring longissimus muscle transcriptome and intramuscular fat. Plos One 10, e0131478.Google Scholar
Nolte-‘t Hoen, EN, Van Rooij, E, Bushell, M, Zhang, CY, Dashwood, RH, James, WP, Harris, C and Baltimore, D 2015. The role of microRNA in nutritional control. Journal of Internal Medicine 278, 99109.Google Scholar
Oh, J, Wall, EH, Bravo, DM and Hristov, AN 2017. Host-mediated effects of phytonutrients in ruminants: a review. Journal of Dairy Science 100, 59745983.Google Scholar
Osorio, JS, Jacometo, CB, Zhou, Z, Luchini, D, Cardoso, FC and Loor, JJ 2016. Hepatic global DNA and peroxisome proliferator-activated receptor alpha promoter methylation are altered in peripartal dairy cows fed rumen-protected methionine. Journal of Dairy Science 99, 234244.Google Scholar
Park, JH, Stoffers, D, Nicholls, RD and Simmons, R 2008. Development of type 2 diabetes following intrauterine growth retardation in rats is associated with progressive epigenetic silencing of Pdx1. Journal of Clinical Investigation 118, 23162324.Google Scholar
Pasquinelli, AE 2012. MicroRNAs and their targets: recognition, regulation and an emerging reciprocal relationship. Nature Reviews Genetics 13, 271282.Google Scholar
Penagaricano, F, Souza, AH, Carvalho, PD, Driver, AM, Gambra, R, Kropp, J, Hackbart, KS, Luchini, D, Shaver, RD, Wiltbank, MC and Khatib, H 2013. Effect of maternal methionine supplementation on the transcriptome of bovine preimplantation embryos. Plos One 8, e72302.Google Scholar
Peugnet, P, Robles, M, Wimel, L, Tarrade, A and Chavatte-Palmer, P 2016. Management of the pregnant mare and long-term consequences on the offspring. Theriogenology 86, 99109.Google Scholar
Prakash, K and Fournier, D 2018. Evidence for the implication of the histone code in building the genome structure. Biosystems 164, 4959.Google Scholar
Radunz, AE, Fluharty, FL, Relling, AE, Felix, TL, Shoup, LM, Zerby, HN and Loerch, SC 2012. Prepartum dietary energy source fed to beef cows: II. Effects on progeny postnatal growth, glucose tolerance, and carcass composition. Journal of Animal Science 90, 49624974.Google Scholar
Rahman, MB, Kamal, MM, Rijsselaere, T, Vandaele, L, Shamsuddin, M and Van Soom, A 2014. Altered chromatin condensation of heat-stressed spermatozoa perturbs the dynamics of DNA methylation reprogramming in the paternal genome after in vitro fertilisation in cattle. Reproduction, Fertility and Development 26, 11071116.Google Scholar
Rome, S 2015. Use of miRNAs in biofluids as biomarkers in dietary and lifestyle intervention studies. Genes & Nutrition 10, 483.Google Scholar
Ross, SA and Davis, CD 2014. The emerging role of microRNAs and nutrition in modulating health and disease. Annual Review of Nutrition 34, 305336.Google Scholar
Sinclair, KD, Allegrucci, C, Singh, R, Gardner, DS, Sebastian, S, Bispham, J, Thurston, A, Huntley, JF, Rees, WD, Maloney, CA, Lea, RG, Craigon, J, McEvoy, TG and Young, LE 2007. DNA methylation, insulin resistance, and blood pressure in offspring determined by maternal periconceptional B vitamin and methionine status. Proceedings of the National Academy of Sciences of the United States of America 104, 1935119356.Google Scholar
Sinclair, KD, Garnsworthy, PC, Mann, GE and Sinclair, LA 2014. Reducing dietary protein in dairy cow diets: implications for nitrogen utilization, milk production, welfare and fertility. Animal 8, 262274.Google Scholar
Smallwood, SA and Kelsey, G 2012. De novo DNA methylation: a germ cell perspective. Trends in Genetics 28, 3342.Google Scholar
Sordillo, LM 2016. Nutritional strategies to optimize dairy cattle immunity. Journal of Dairy Science 99, 49674982.Google Scholar
Soussana, J-F, Fereres, E, Long, SP, Mohren, FGMJ, Pandya-Lorch, R, Peltonen-Sainio, P, Porter, JR, Rosswall, T and von Braun, J 2012. A European science plan to sustainably increase food security under climate change. Global Change Biology 18, 32693271.Google Scholar
Stewart, KR, Veselovska, L and Kelsey, G 2016. Establishment and functions of DNA methylation in the germline. Epigenomics 8, 13991413.Google Scholar
Strahl, BD and Allis, CD 2000. The language of covalent histone modifications. Nature 403, 4145.Google Scholar
Terashima, M, Barbour, S, Ren, J, Yu, W, Han, Y and Muegge, K 2015. Effect of high fat diet on paternal sperm histone distribution and male offspring liver gene expression. Epigenetics 10, 861871.Google Scholar
Vander Heyden, L, Lejeune, JP, Caudron, I, Detilleux, J, Sandersen, C, Chavatte, P, Paris, J, Deliege, B and Serteyn, D 2013. Association of breeding conditions with prevalence of osteochondrosis in foals. Veterinary record 172, 68.Google Scholar
Veenendaal, M, Painter, R, de Rooij, S, Bossuyt, P, van der Post, J, Gluckman, P, Hanson, M and Roseboom, T 2013. Transgenerational effects of prenatal exposure to the 1944-45 Dutch famine. BJOG: An International Journal of Obstetrics & Gynaecology 120, 548554.Google Scholar
Wang, J, Bian, Y, Wang, Z, Li, D, Wang, C, Li, Q and Gao, X 2014. MicroRNA-152 regulates DNA methyltransferase 1 and is involved in the development and lactation of mammary glands in dairy cows. Plos One 9, e101358.Google Scholar
Wang, X, Lan, X, Radunz, AE and Khatib, H 2015. Maternal nutrition during pregnancy is associated with differential expression of imprinted genes and DNA methyltranfereases in muscle of beef cattle offspring. Journal of Animal Science 93, 3540.Google Scholar
Wilkinson, JM and Garnsworthy, PC 2016. Dietary options to reduce the environmental impact of milk production. The Journal of Agricultural Science 155, 334347.Google Scholar
Wiltbank, MC, Garcia-Guerra, A, Carvalho, PD, Hackbart, KS, Bender, RW, Souza, AH, Toledo, MZ, Baez, GM, Surjus, RS and Sartori, R 2014. Effects of energy and protein nutrition in the dam on embryonic development. Animal Reproduction 11, 168182.Google Scholar
Winkelsett, S, Vervuert, I, Granel, M, Borchers, A and Coenen, M 2005. Feeding practice in warmblood mares and foals and the incidence to osteochondrosis. Pferdeheilkunde 21, 124126.Google Scholar
Zhang, Y, Xiang, Y, Yin, Q, Du, Z, Peng, X, Wang, Q, Fidalgo, M, Xia, W, Li, Y, Zhao, ZA, Zhang, W, Ma, J, Xu, F, Wang, J, Li, L and Xie, W 2018. Dynamic epigenomic landscapes during early lineage specification in mouse embryos. Nature Genetics 50, 96105.Google Scholar
Figure 0

Table 1 Nutritional factors relevant to herbivore nutrition and their epigenetic roles in animal and human research, updated from Delage and Dashwood (2008); Canani et al. (2011)