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. 2019 Jun 11;16:485–498. doi: 10.1016/j.isci.2019.06.013

The Spatiotemporal Control of Zygotic Genome Activation

George E Gentsch 1,, Nick DL Owens 2, James C Smith 1,3,∗∗
PMCID: PMC6593175  PMID: 31229896

Summary

One of the earliest and most significant events in embryonic development is zygotic genome activation (ZGA). In several species, bulk transcription begins at the midblastula transition (MBT) when, after a certain number of cleavages, the embryo attains a particular nuclear-to-cytoplasmic (N/C) ratio, maternal repressors become sufficiently diluted, and the cell cycle slows down. Here we resolve the frog ZGA in time and space by profiling RNA polymerase II (RNAPII) engagement and its transcriptional readout. We detect a gradual increase in both the quantity and the length of RNAPII elongation before the MBT, revealing that >1,000 zygotic genes disregard the N/C timer for their activation and that the sizes of newly transcribed genes are not necessarily constrained by cell cycle duration. We also find that Wnt, Nodal, and BMP signaling together generate most of the spatiotemporal dynamics of regional ZGA, directing the formation of orthogonal body axes and proportionate germ layers.

Subject Areas: Developmental Genetics, Developmental Biology, Embryology, Omics

Graphical Abstract

graphic file with name fx1.jpg

Highlights

  • Temporal RNAPII profiling shows gradual activation of zygotic genome in frog embryo

  • Quantity and size of RNAPII-transcribed genes increase before cell cycle slows down

  • More than 1,000 genes are activated before the midblastula transition

  • Most regional activation of zygotic genome depends on Wnt, Nodal, and BMP signaling


Developmental Genetics; Developmental Biology; Embryology; Omics

Introduction

The genomes of multicellular organisms are transcriptionally silent at the time of fertilization, and the events of early development, including zygotic (also known as embryonic) genome activation (ZGA), are directed by maternal gene products (De Iaco et al., 2019, Eckersley-Maslin et al., 2019, Gentsch et al., 2018b, Lee et al., 2013, Leichsenring et al., 2013, Liang et al., 2008). The number of cell cycles after which ZGA becomes essential for development (at which embryos arrest if transcription is inhibited) is highly reproducible within each species. In the zebrafish, the frog Xenopus, and the fruit fly Drosophila, this occurs after 10, 12, and 13 cell cycles, respectively, at the so-called midblastula transition (MBT) (Blythe and Wieschaus, 2015, Gentsch et al., 2018b, Kane and Kimmel, 1993, Newport and Kirschner, 1982a). Early development in these species occurs with no gain in cytoplasmic volume, and studies in Xenopus suggest that ZGA is triggered at a particular nuclear-to-cytoplasmic (N/C) ratio, when the increasing amount of nuclear DNA titrates out maternally deposited repressors (Newport and Kirschner, 1982b). Slower-developing mammalian embryos show major waves of RNA polymerase II (RNAPII)-mediated transcription as early as the two-cell stage in mice (Bolton et al., 1984, Hamatani et al., 2004) and four- to eight-cell stage in humans (Braude et al., 1988, Vassena et al., 2011). This occurs days before the formation of the blastocyst, which, like the blastula, contains the pluripotent cells that form the embryo proper.

In Xenopus, ZGA is associated with changes in cell behavior after the MBT. First, rapid and nearly synchronous cell cleavages give way to longer and asynchronous cell divisions (Anderson et al., 2017, Newport and Kirschner, 1982a). Second, embryonic cells acquire the ability to respond to inductive signaling (Gentsch et al., 2018b), causing them to become motile, to establish dorsoventral patterning, and to contribute to one or two of the three germ layers (endoderm, mesoderm, and ectoderm). These germ layers emerge first during gastrulation and are the primordia of all organs. Third, embryos show accelerated degradation of maternal RNA, and fourth, cells gain apoptotic (Stack and Newport, 1997) and immunogenic (Gentsch et al., 2018a) capabilities.

Although large-scale ZGA occurs at the MBT, some genes escape the repressive environment of the early embryo and nascent transcripts can be detected in Xenopus during rapid cleavage stages. For example, primary microRNA transcripts of the polycistronic MIR-427 gene (Lund et al., 2009) are detectable in Xenopus tropicalis after just three cell divisions (Owens et al., 2016). MIR-427, like its zebrafish equivalent MIR-430, is activated at early stages by the synergistic and pioneering activities of maternal members of the SoxB1 and Pou5F (Oct4) transcription factor (TF) families (Gentsch et al., 2018b, Heyn et al., 2014, Lee et al., 2013). These core pluripotency TFs, represented by Sox3 and Pou5f3 in Xenopus, are characterized by ubiquitous and high translation frequencies in pre-MBT embryos (Gentsch et al., 2018b, Lee et al., 2013). Zygotic transcription of the Nodal-encoding genes nodal3/5/6, and of the homeobox genes siamois1/2, is initiated by nuclear β-catenin as early as the 32-cell stage (Owens et al., 2016, Skirkanich et al., 2011, Yang et al., 2002).

Although miR-427 (and miR-430 in zebrafish) contributes to the clearance of maternal RNA (Giraldez et al., 2006, Lund et al., 2009), nodal and siamois genes initiate the formation of the germ layers and body axes (Agius et al., 2000, Lemaire et al., 1995). All these genes, and other early-activated genes in Drosophila, Xenopus, and zebrafish, have coding sequences of <1 kb and either no introns or just a few (Heyn et al., 2014). It has been suggested that the early rapid cell cycles cause the DNA replication machinery to interfere with the transcription of larger genes (Shermoen and O'Farrell, 1991), a suggestion supported, to date, by the profiling of nascent transcripts (Heyn et al., 2014). We note, however, that the detection and temporal resolution of de novo transcription can be particularly challenging for genes that have both maternal and zygotic transcripts.

Here we use the continuous occupancy of RNAPII along gene bodies as a method to record ZGA. In contrast to transcript profiling techniques, this method (1) directly determines the activity of every gene; (2) is independent of metabolic labeling (Heyn et al., 2014) and of any gene feature such as introns (Lee et al., 2013), single nucleotide polymorphisms (Harvey et al., 2013, Lott et al., 2011), or transcript half-lives; and (3) circumvents difficulties in detecting nascent transcripts in a large pool of maternal transcripts. By combining these data with the profiling of the transcriptome along the primary body axes (Blitz et al., 2017), we resolve ZGA in time and space for wild-type and various loss-of-function embryos. We provide evidence that runs counter to our original understanding of the cell cycle or of the N/C ratio in constraining gene expression before MBT. And finally, we show how signaling initiates and coordinates spatiotemporal ZGA in the Xenopus embryo.

Results

RNAPII Profiling Reveals Exponential ZGA before MBT

In an effort to resolve the progression of ZGA, we profiled chromatin for RNAPII engagement on hand-sorted X. tropicalis embryos over six developmental stages from the 32-cell to the late gastrula stage (Figures 1A and 1B). RNAPII was localized on the genome by chromatin immunoprecipitation followed by deep sequencing (ChIP-seq). We complemented RNAPII profiling with high time-resolution transcriptomics (Owens et al., 2016) counting both exonic and intronic RNA at 30-min intervals from fertilization to the late gastrula stage (Figures 1A, 1B, S1A, and S1B). For both maternal and zygotic genes, the detection threshold was set to ≥3 transcripts per million (TPM) averaged over any 1-h window during this developmental period to avoid genes with general low-level expression. This restricted the analysis to 13,042 genes (Figure 1B). These genes were considered active when we detected simultaneously RNAPII enrichment along their full length (see Transparent Methods) as well as the presence of the corresponding transcripts. In doing so, we used a low threshold of ≥0.1 TPM so as not to miss the onset of gene transcription. RNAPII-guided ZGA profiling was verified in part by active post-translational histone marks (Hontelez et al., 2015) and by differential expression methods aiming at detecting nascent transcripts. Thus, zygotic transcript depletion (by blocking RNAPII elongation with α-amanitin) (Gentsch et al., 2018b) or enrichment (by selecting 4-thiouridine [4sU]-tagged transcripts at the MBT and the mid-gastrula stage) showed substantial overlaps and positive correlations with RNAPII-covered genes (Figures 1A, 1B, S1C, and S1D and Tables S1 and S2).

Figure 1.

Figure 1

Dynamics and Architecture of ZGA in X. tropicalis

(A) (i) Genome-wide profiling of RNAPII and total RNA (Owens et al., 2016) to determine temporal ZGA dynamics. (ii) Complementary approach to detect transcriptionally active genes by α-amanitin-induced loss and 4sU enrichment of nascent (zygotic) transcripts.

(B) Progression of ZGA from the 32-cell to the late gastrula stage based on (i) whole gene body (full-length) occupancy of RNAPII (i.e., RNAPII was enriched across entire gene bodies; see Transparent Methods). Co-aligned: (ii) High time-resolution of total RNA, separated by intron- and exon-derived signals, from fertilization to the late gastrula stage, and (iii) enrichments of 4sU-tagged RNA at the MBT and the mid-gastrula stage. Numbers below RNAPII heatmap represent counts of active (blue) and activated (red) genes at the indicated developmental stages. The horizontal dotted line separates RNAPII-engaged (RNAPII+) from non-engaged (RNAPII) genes as detected until the late gastrula stage. The vertical dotted lines in the total RNA plots indicate the developmental time points of the MBT (white) and the late gastrula stage (black), respectively.

(C) 2D space-filling (Hilbert) curves showing RNAPII recruitment to chromosomes (Chr) at the 128-cell stage and the MBT. A few zygotic genes are highlighted as being active (ON) or not (OFF) based on their engagement with RNAPII.

(D) Alluvial diagram of spatiotemporal ZGA. Tissue specificity inferred from regional transcript enrichments along the animal-vegetal or the dorsoventral axes or both (Blitz et al., 2017).

(E) ZGA-associated enrichment of biological processes. The statistical significance of enrichment (hypergeometric p-value) an the number of activated genes associated with each biological process are visualized by bubble size and color, respectively.

(F) Beeswarm boxplots of maternal and/or zygotic gene sizes. *, p < 1.9 × 10−7 (Wilcoxon rank-sum test against maternal and post-MBT activated genes); reffect 0.06 (“MBT” vs “Egg”) - 0.48 (“128” vs “mG”).

(G) Maternal/zygotic contribution to the transcriptome deduced from full-length RNAPII occupancy and maternally inherited RNA.

Abbreviations: 32, 32-cell; 128, 128-cell; 1K, 1,024-cell; MBT, midblastula transition; mG, mid-gastrula; lG, late gastrula; 4sU, 4-thiouridine; Mdn, median; TPM, transcripts per million. See also Figure S1 and Tables S1 and S2.

This analysis revealed an exponential ZGA before the MBT with 27, 144, and 1,044 active genes after 5 (32-cell, ∼2.5 hpf), 7 (128-cell, ∼3 hpf) and 10 (1,024-cell, ∼4 hpf) cell cycles, respectively. Gene activation reached its peak at the MBT (∼4.5 hpf), with 1,854 newly activated genes, before dropping to 724 genes at the early to mid-gastrula stage (∼7.5 hpf) and increasing again to 1,214 genes toward the end of gastrulation (∼10 hpf) (Figures 1B, 1C, and S1E and Table S2). The dramatic increase in transcriptional activity that occurs in the 1.5 h between the 128-cell stage and the MBT can be illustrated by Hilbert curves (Figure 1C), which provide a genome-wide overview of RNAPII enrichment by folding chromosomes into two-dimensional space-filling and position-preserving plots (Gu et al., 2016). Although most zygotic genes remain active beyond the mid-gastrula stage, 197 (including siamois2 [sia2], nodal5 and znf470) of the 4,836 zygotic genes (∼4%) are deactivated within ∼6 h of development (Figures 1C, S1F, and S1G). Slightly less than one-third of the activated genes were differentially expressed along either or both of the animal-vegetal and dorsoventral axes (Figures 1D and S1F).

The temporal order of enriched biological processes supported by ZGA matched the regulatory flow of gene expression, starting with nucleosome assembly, nucleic acid synthesis, mRNA metabolism and production, post-translational modification, and degradation of proteins (Figure 1E). The earliest transcriptional engagement, beginning at the 32- to 128-cell stages, was detected in gene clusters of tens to hundreds of kilobases (Figures 1A, 1C, and S1H–S1J). These clusters featured close relatives of the same genes, some of which are critical to Nodal signaling (Nodal ligands), the formation of the Spemann organizer (Siamois homeobox transcription factors), nucleosome assembly (histones), mRNA decay (MIR-427), and ongoing gene regulation (zinc finger transcription factors with on average 10 Cys2-His2 [C2H2] domains; Figure S1J). These earliest activated genes were shorter and encoded smaller proteins than those within the maternal pool or those that are activated post-MBT (Figures 1F and S1K). The non-coding features that contributed most to the differences in length were the 3′ UTRs and introns (Figure S1K).

We noted that the shorter zygotic genes observed before the MBT did not correlate strictly with the time constraints imposed by short cell cycles. We detected increasing and wider spread of de novo recruitment of RNAPII before the MBT, when cleavages continue to occur at rapid and near-constant pace (Figures 1F and S1K). During this period, the median length of activated genes (and their coding sequences) increases from ∼0.9 kb (∼0.4 kb) to ∼5.9 kb (∼0.9 kb). However, it was not until after the MBT that the overall architecture of zygotic and maternal genes became indistinguishable (Figures 1F and S1K). Temporal comparison of RNAPII engagement and total RNA profiling suggested that the zygotic contribution to the transcriptome (as calculated by the number of zygotic genes divided by the number of genes with ≥0.1 TPM maternal transcripts averaged over the first hour post-fertilization when the entire zygotic genome is still transcriptionally inactive) rose within seven cell cycles from ∼0.2% at the 32-cell stage to ∼22% at the MBT (Figure 1G). Further maternal degradation and more moderate transcriptional engagement extended the zygotic contribution to about one-third of the transcriptome by the late gastrula stage. Maternal transcripts (≥0.1 TPM, see earlier text) were detected for ∼67% of newly activated genes (18 of 27 genes) at the 32-cell stage, ∼85% (99/117) at the 128-cell stage, ∼87% (780/900) at the 1,024-cell stage, ∼95% (1,754/1,854) at the MBT, ∼89% (644/724) at the mid-gastrula stage, and ∼90% (1,094/1,214) at the late gastrula stage (Table S2). Altogether ∼91% (4,389/4,836) of newly activated genes have ≥0.1 TPM maternal contribution.

Wnt, Nodal, and BMP Signals Are Key Drivers of Regional ZGA

We next sought to investigate the single and combined effects of different inductive signals on the spatiotemporal dynamics of ZGA. The early vertebrate embryo employs canonical Wnt, Nodal, and BMP signals and their key transcriptional effectors β-catenin, Smad2, and Smad1, respectively, to establish the primary body axes and the three germ layers (reviewed by Arnold and Robertson, 2009 and Kimelman, 2006). In Xenopus, β-catenin first translocates to the nuclei of dorsal blastomeres at the 32-cell stage (Larabell et al., 1997, Schneider et al., 1996) (Figure 2A). After the MBT, zygotic Wnt8a causes more nuclear β-catenin to accumulate around the forming blastopore lip (Christian and Moon, 1993, Schohl and Fagotto, 2002). The nuclear translocation of Smad1 and Smad2 is triggered around the MBT by various BMP and Nodal ligands. Nuclear Smad1 is primarily detected on the ventral side and the blastocoel roof of the embryo, whereas nuclear Smad2 is detected within the vegetal hemisphere (VH) and the marginal zone (MZ) (Faure et al., 2000, Schohl and Fagotto, 2002) (Figure 2A).

Figure 2.

Figure 2

Spatiotemporal ZGA Regulated by Canonical Wnt, Nodal, and BMP Signals

(A) Spatiotemporal ZGA and nuclear localization of signal mediators β-catenin (canonical Wnt), Smad2 (Nodal), and Smad1 (BMP) (Faure et al., 2000, Larabell et al., 1997, Schohl and Fagotto, 2002) from the 32-cell to the late gastrula stage.

(B) Morphological phenotypes of single and combined signal LOFs at the late gastrula and the mid-tail bud stage. Left (“control”) pictures are taken from Gentsch et al. (2018b). Bullet points, failed blastopore formation. Arrowheads, excessive neural fold formation. Scale bar, 0.5 mm.

(C) Heatmap (i) and bar graph summary (ii) of ZGA mis-regulated in various LOF embryos: α-amanitin, positive control; control MO, negative control. Abbreviations: B, BMP; N, Nodal; W, canonical Wnt; mPS, maternal Pou5f3/Sox3; mV, maternal VegT; 4x zT, four zygotic T-box TFs (zygotic VegT, Eomes, Tbxt and Tbxt.2).

(D) Biological processes enriched with mis-regulated and control (not down-regulated or unaffected by the loss of maternal TFs or signaling) sets of zygotic genes under indicated LOFs. The statistical significance of enrichment (hypergeometric p-value) and the number of zygotic genes are visualized by bubble size and color, respectively.

(E) Summary (i) and temporal resolution (ii) of Wnt LOF effects on regional ZGA. Percentages only refer to the down-regulated genes among all zygotic genes with similar expression ratios along the animal-vegetal or the dorsoventral axes.

See also Figure S2, Tables S1 and S3, and Video S1.

In an effort to inhibit canonical Wnt signaling, we injected into the X. tropicalis zygote a previously validated antisense morpholino oligonucleotide (MO), which interferes with β-catenin protein synthesis by annealing to the translation start codon (Heasman et al., 2000). Nodal and BMP signals were selectively blocked by incubating dejellied embryos from the eight-cell stage in the cell-permeable inhibitors SB431542 (Ho et al., 2006, Inman et al., 2002) and LDN193189 (Cuny et al., 2008, Young et al., 2017), respectively. The morphological phenotypes of these single loss-of-function (LOF) treatments were consistent with previous observations and ranged from impaired axial elongation causing the loss of tail structures (BMP, Reversade et al., 2005) to severe gastrulation defects (Wnt, Heasman et al., 2000, and Nodal, Ho et al., 2006) as shown in Figure 2B. Briefly, Nodal LOF impaired blastopore lip formation and bulk tissue movements of gastrulation (bullet points in Figure 2B). However, it did not preclude subsequent elongation of the antero-posterior axis. By contrast, Wnt LOF embryos underwent gastrulation (albeit delayed and more circumferentially rather than in a dorsal to ventral wave) but failed to form an antero-posterior axis, with both head and tail being absent. With respect to the joint effects of Wnt, Nodal, and BMP signaling, most dual and triple LOFs combined their individual morphological defects such that, for example, Wnt/Nodal LOF resulted in the complete loss of gastrulation and axial elongation. By contrast, Wnt/BMP LOF produced defects such as non-fusing neural folds (arrowheads in Figure 2B), structures that were either absent in Wnt LOF embryos or normal in BMP LOF embryos.

Changes to ZGA caused by the single or combined LOF of Wnt, Nodal, and/or BMP were then determined at the late blastula stage on a transcriptome-wide scale using deep RNA sequencing (RNA-seq). Analysis was limited to the 3,315 zygotic genes for which spatiotemporal expression data are available (Blitz et al., 2017, Owens et al., 2016) and where reduced expression (≥50% loss of exonic and/or intronic transcript counts, false discovery rate [FDR] ≤10%) could be detected in α-amanitin-injected embryos (Figure 2C and Table S3) (Gentsch et al., 2018b). α-Amanitin-mediated inhibition of RNAPII elongation impedes the morphogenetic tissue movements of gastrulation and ultimately leads to early embryonic death (Gentsch et al., 2018b). Spatial gene expression patterns were inferred from experiments comparing the transcriptomes of embryos dissected along their animal-vegetal and dorsoventral axes (Blitz et al., 2017); we did not include the left-right axis because there were no significant differences in gene expression across this axis at the gastrula stage (Blitz et al., 2017). The signal-mediated transcriptional effects (1.5-fold change from control RNA level) on zygotic genes, 86% (2,840/3,315) of which have ≥0.1 TPM maternal contribution, ranged from ∼1.5% (∼1.3% down and ∼0.2% up) to ∼26% (∼19% down and 7% up) for single BMP LOF and triple Wnt/Nodal/BMP LOFs, respectively (Figure 2C). As expected, the transcript levels of genes whose expression is solely zygotic were more strongly affected than those of zygotic genes with maternally contributed transcripts (Figures 2C and 4A). The extent of ZGA mis-regulation largely reflected the severity of the resulting morphological phenotypes at the late gastrula and the mid-tail bud stage (Figures 2B and 2C).

Figure 4.

Figure 4

Canonical Wnt, Nodal, and BMP Signals Induce the Majority of Regional ZGA

(A) Total percentage of active (zygotic only and maternal-zygotic) genes mis-regulated by Wnt, Nodal, and/or BMP LOF.

(B) Graphical explanations of figure panels (C) and (D).

(C and D) Summary (i) and temporal resolution (ii) of minimal (C) and maximal (D) transcript levels of active genes (separated by regional expression along the primary body axes) detected among Wnt, Nodal, and/or BMP LOFs. Percentages only refer to the down-regulated (C) or up-regulated (D) genes among all zygotic genes with the same range of expression ratios along the animal-vegetal or dorsoventral axes.

(E) Exponential activation of gradually longer genes before the MBT (bulk ZGA) when cell divisions occur at rapid and nearly constant intervals (∼20 min at 28°C). Sequential induction of the canonical Wnt, Nodal, and BMP pathway is critical to high percentages of regional ZGA (as measured along the two primary body axes within the indicated halves and quadrants of an early gastrula embryo): e.g., ∼89% or ∼98% of gene expression enriched in the dorsal half or vegetal-dorsal quadrant, respectively.

In comparison, the LOFs of critical maternal TFs like Pou5f3/Sox3 or VegT (Gentsch et al., 2018b) caused the mis-regulation of 61% (∼24% down and ∼37% up) and 13% (∼6% down and ∼7% up) of zygotic genes, respectively. The LOFs of four zygotic T-box TFs (zVegT, Eomes, Tbxt, and Tbxt.2), all of which require Nodal signaling for their expression, caused slight mis-regulation in 19% (∼9% down and ∼10% up) of the zygotic genes as detected over three consecutive developmental time points during gastrulation (Table S3). Among the ZGA-enriched biological functions (Figure 1D), Wnt, Nodal, and BMP signals, like maternal Pou5f3/Sox3 and VegT, strongly affected zygotic genes associated with cell migration, gastrulation, dorsoventral and antero-posterior body axes formation, and regionalization (Figure 2D). Impaired tissue movements during gastrulation, as observed in various LOFs (Figure 2B and Video S1), was prefigured by a strong enrichment for cell migration-associated genes. The genes suppressed or unaffected by the selected signals and maternal TFs were enriched for the ZGA-critical biological processes of mRNA metabolism and translation. For instance, the transient activation of the entire zinc finger cluster (Figure S2A) was not affected by any tested LOF. Because family members are frequently cross-regulated, and the MBT-staged chromatin contains many Krüppel-like zinc finger “footprints” (Gentsch et al., 2018b), it is conceivable that the unaffected, tissue-nonspecific part of ZGA is regulated by maternal zinc finger TFs. This vertebrate gene regulatory branch may be more ancient than that of Pou5F/SoxB1 as zinc finger TFs like Zelda are also key to ZGA of the invertebrate Drosophila (Liang et al., 2008).

Video S1. Quadruple LOF of Zygotic T-box TFs, Related to Figure 2

Simultaneous filming of the vegetal (top row) and animal (bottom row) hemisphere of 4x zT LOF (labeled as T-box KD in the video) (left) and control (right) embryos from early gastrula to mid-tail bud stage.

Download video file (4.9MB, mp4)

Next, signal-dependent ZGA was resolved in time and space based on (1) the profiling of RNAPII-engaged chromatin from the 32-cell stage to the MBT and (2) known gene expression patterns along the animal-vegetal and dorsoventral axes (Blitz et al., 2017) (Figures 2E and S2B–S2F). In line with the nuclear translocation of their signal mediators (Figure 2A), Wnt, Nodal, and BMP proved to be required for gene activation in different spatiotemporal domains of the early embryo: β-catenin was needed for ∼87% and ∼46% of genes preferentially expressed on the dorsal side and in the VH/MZ, respectively. Some of its target genes like nodal3.1 and sia2 were already active by the 32-cell stage (Figures 1C and 2E). On Wnt LOF, the early transcriptional down-regulation was followed by the mis-regulation of opposing cell fate specifiers: the up-regulation of ventral genes (e.g., id2, szl) and the down-regulation of dorsal genes (e.g., chrd, otx2). These observations suggest that β-catenin protects dorsal cells from ventralization (Figures 2E and S2C).

Along similar lines, Nodal LOF embryos predominantly displayed a down-regulation of dorsal (∼63%) and VH/MZ-specific (∼73%) genes, although there was no effect of Nodal LOF on the earliest-activated genes at the 32-cell stage or on opposing cell fate regulators (Figures S2A and S2B). Among the first genes to be sensitive to Nodal LOF was the MZ-specific FGF ligand fgf20, activated by the 128-cell stage (Figures 1C, S2A, and S2B). By contrast, BMP LOF caused a decrease in ventrally expressed gene expression (∼45%) from the 1,024-cell stage onward (Figures S2A and S2C).

As a comparison, the ubiquitous expression of maternal Pou5f3/Sox3 was required for transcription in all spatiotemporal domains, including, for example, the uniform expression of miR-427 (Figures S2A and S2D). The requirement for Pou5f3/Sox3 was more marked, however, for region-specific genes, in particular those expressed within animal- (∼55%) and ventral-specific (∼67%) domains (Figures S2A and S2D). The maternal TF VegT promoted vegetal identity by activating ∼40% of genes transcriptionally enriched within its own expression domain, the vegetal hemisphere, while suppressing genes that are expressed in the animal hemisphere like foxi4.2. The requirement for VegT was similar in ventral- and dorsal-specific genes (∼31% and ∼30%, respectively).

Wnt/BMP Synergy Enables Uniform ZGA across the Dorsoventral Axis

The relationships between inductive signals with respect to spatial aspects of ZGA were explored by comparing zygotic transcriptomes in single and double LOF experiments. Interestingly, simultaneous loss of both Nodal and BMP function or both Nodal and Wnt caused additive effects on gene expression compared with the single LOFs (Figures 3E and S3A–S3N), whereas simultaneous loss of both BMP and Wnt signaling showed a more synergistic effect (Figures 3A and 3F). These observations are consistent with the morphological consequences of single and double LOFs (Figure 2B). Single LOF experiments revealed very little overlap between Wnt and BMP gene targets (Figure 3B), a result consistent with their domains of activity that are, initially, at opposite ends of the dorsoventral axis. However, dual Wnt/BMP inhibition increased the number of down-regulated genes by 292, a rise of ∼118% and ∼664% with respect to individual Wnt- and BMP-dependent genes, respectively (Figure 3B). Interestingly, this synergy affected 166 Nodal-dependent genes, most of which had uniform expression levels across the dorsoventral axis and differential expression levels across the animal-vegetal axis (Figures 3C, 3D, 3F–3H, 3J, and 3K). Thus, spatially restricted Wnt, BMP, and Nodal signals act together to establish dorsoventral expression uniformity of genes such as tbxt and eomes (Figure 3I).

Figure 3.

Figure 3

Uniform Gene Expression across Dorsoventral Axis Achieved by Wnt/BMP Synergy

(A, C, E, F, G, and J) Scatterplots of relative (% to control) transcript levels between indicated LOFs with each dot (gene) color-coded according to a third attribute: (A and B) relative (% to control) transcript levels, (E and F) synergy factors between single inductive signals, and (G and J) regional expression ratios between opposite ends of the indicated axis.

(B and D) Venn diagram of down-regulated genes by indicated LOFs.

(H and K) Beeswarm boxplots of regional expression (as measured along the indicated axes) depending on increased Wnt-BMP synergy.

(I) Whole-mount in situ hybridization (WMISH) of tbxt and eomes transcripts under various LOFs. Control and Nodal LOF pictures are from Gentsch et al. (2018b).

See also Figure S3 and Table S3.

Overall, the loss of canonical Wnt, Nodal, and/or BMP signaling caused the mis-regulation of ∼39% (∼22.1% down, ∼2.1% down/up, and ∼14.4% up) of genes activated at ZGA (Figure 4A). These signals were required for most regional ZGA on the dorsal side (∼89%) and in the VH and MZ (∼82%). Notably, their input affected virtually all genes (∼98%, 56/57) with enriched expression in the dorso-vegetal/MZ quadrant (Figures 4B and 4C). Thus, Wnt, Nodal, and BMP substantially contribute to regional ZGA in most anatomical domains of the early gastrula embryo with the exception of animally enriched transcription (∼19%). Animal- and ventral-specific gene expression relies strongly on both activation by ubiquitous maternal TFs (e.g., Pou5f3/Sox3) and on repression by signals (Figures 4B and 4D) and other maternal TFs (e.g., VegT) on the opposite side (Figure S2F).

Discussion

Our study provides two major insights into the mechanisms by which ZGA is initiated in time and space in X. tropicalis. The first concerns the temporal aspects, where we find that RNAPII can be detected across gene bodies well before the MBT, during the period when rapid synchronous cell divisions divide the zygote into 4,096 blastomeres (Figure 4E). The average length of genes covered by RNAPII grows during this time, from ∼1 kb at the 32-cell stage to ∼6 kb at the 1,024-cell stage; these figures compare with an average size of ∼16 kb for maternally expressed genes and for genes expressed after the MBT. Recent long-read sequencing of the zebrafish transcriptome at pre-MBT stages identified transcripts as long as 8 kb spanning multiple pri-miR-430 elements (Nudelman et al., 2018). Furthermore, RNAPII elongation in pre-MBT Drosophila embryos occurred at rates of 2.4–3.0 kb/min (Chen et al., 2013, Fukaya et al., 2017).

We do not know why RNAPII, despite its high abundance and its ability to promote rapid elongation, is restricted at early stages from transcribing more genes and longer genes. It may, perhaps, be a consequence of the gradual nature of the chromatin remodeling that occurs during these stages, from the accessibility of cis-regulatory elements (Gentsch et al., 2018b, Liu et al., 2018, Lu et al., 2016, Wu et al., 2016) to the spatial organization of an initially unstructured or highly variable chromatin landscape (Du et al., 2017, Flyamer et al., 2017, Hug et al., 2017, Kaaij et al., 2018, Ke et al., 2017). Whatever the reason, the increase of elongated RNAPII engagement between the 128-cell stage and the MBT indicates that a significant component of ZGA disregards the N/C ratio that was originally thought to underlie the onset of transcription at the MBT (Newport and Kirschner, 1982b). Similar conclusions have been drawn from profiling the zygotic transcriptome of haploid Drosophila (Lu et al., 2009) and cell-cycle-arrested zebrafish (Chan et al., 2018). Thus, it is becoming clear from work in flies, fish, and frogs that ZGA starts before the MBT and accelerates thereafter (Ali-Murthy et al., 2013, Collart et al., 2014, Mathavan et al., 2005, Owens et al., 2016, Tan et al., 2013), reaching a peak at the MBT (reviewed by Jukam et al., 2017 and Langley et al., 2014).

These observations notwithstanding, it remains possible that cell cycles do contribute to the temporal progression of ZGA and the exponential increase in the number of activated genes before the MBT. In particular, cell cycles may accelerate chromatin remodeling by displacing suppressors in mitotic chromatin and providing unique access to TFs (Halley-Stott et al., 2014) and structural proteins of high-order chromatin (Ke et al., 2017). For example, maternal core histones have been shown to prevent premature ZGA by competing with specific TFs (Joseph et al., 2017).

In addition to the small sizes of the earliest activated genes, we observed that most of these genes, which have no or few introns, code for groups of related factors like histones or zinc finger TFs and that they appear as clusters spanning up to several hundred kilobases. This is in line with previous findings of the earliest active multicopy and intron-poor genes like miR-427 and nodal5/6 in Xenopus embryos (Collart et al., 2014, Lund et al., 2009, Owens et al., 2016, Skirkanich et al., 2011, Takahashi et al., 2006, Yanai et al., 2011, Yang et al., 2002) and miR-430 in zebrafish and Medaka fish (Giraldez et al., 2005, Heyn et al., 2014, Tani et al., 2010). The number and spatial proximity of clustered genes enhances transcriptional output by allowing the sharing of multiple cis-regulatory elements (arranged as super-enhancers) (Whyte et al., 2013) and by fortifying transcriptional condensates of TFs, coactivators, and RNAPII (Boija et al., 2018, Cho et al., 2018, Chong et al., 2018, Sabari et al., 2018, Shrinivas et al., 2018). Overall, based on enriched gene functions, we discovered that ZGA exerts a temporal control of gene expression from nucleosome remodeling before the MBT to protein degradation after the MBT.

Our second insight concerns spatial ZGA and the observation that we can assign a large proportion of spatiotemporal ZGA to key signaling pathways (reviewed by Arnold and Robertson, 2009 and Kimelman, 2006). Canonical Wnt, Nodal, and BMP signaling govern regional ZGA in line with the nuclear translocation of their signal mediators (Faure et al., 2000, Larabell et al., 1997, Schohl and Fagotto, 2002). Thus, Nodal signaling predominantly affects transcription within the vegetal hemisphere and marginal zone, whereas Wnt and BMP initiate transcription in dorsal and ventral regions, respectively. The timing of regional ZGA is defined by the sequential translocation of signal mediators such that nuclear β-catenin directs regional ZGA at the 32-cell stage, followed by nuclear Smad2 at the 128-cell stage and Smad1 at the 1,024-cell stage. Although Smad2-mediated signal transduction depends on the zygotic transcription of its six Nodal ligands (Faure et al., 2000, Gentsch et al., 2018b, Jones et al., 1995, Yang et al., 2002), canonical Wnt and BMP signaling are initiated by the maternally inherited ligands Wnt11 and BMP2/4/7, respectively (Faure et al., 2000, Heasman, 2006, Tao et al., 2005).

We also show that the synergy of opposing signals of the Wnt and BMP pathway affects many Nodal-dependent genes with uniform expression along the dorsoventral axis, such as eomes and Brachyury (tbxt). It is not yet clear whether Wnt/BMP synergy arises from joint chromatin engagement or from mutual or post-translational interactions. For instance, Wnt8a signal can enhance BMP transcriptional readouts by inhibiting the phosphorylation of GSK3, which normally targets Smad1 for degradation (Fuentealba et al., 2007). However, the analysis of Brachyury gene regulation in zebrafish suggests that Wnt and BMP can be integrated at a single cis-regulatory DNA element and together with a separate Nodal-responsive DNA element they can establish uniform dorsoventral expression (Harvey et al., 2010). This is further corroborated by our analysis of genome-wide chromatin engagement (Gentsch et al., 2018b): the canonical DNA recognition motif for the Wnt-associated basic helix-span-helix (bHSH) TF AP-2 was more enriched at Smad1 than at Smad2 binding sites (Figure S3O).

We therefore propose that Wnt, BMP, and Nodal signal mediators are critical to regional ZGA and that they balance initially opposing cell fate commitments. However, we have previously shown that signal integration also relies on maternal pioneer TFs like Pou5f3 and Sox3 to make signal-responsive cis-regulatory elements accessible for signal mediator binding. For example, Nodal-induced transcription of the Brachyury gene depends on the pioneering roles of maternal Pou5f3 and Sox3, and less on their transcriptional activities (Gentsch et al., 2018b).

Overall, we demonstrate that the temporal and spatial dynamics of regional ZGA are regulated by the sequential and spatially restricted translocation of Wnt, Nodal, and BMP signal mediators. These events establish the formation of the primary body axes and germ layers of the embryo. Temporal RNAPII profiling indicates that >1,000 genes of increasing length are activated before MBT and that this substantial portion of ZGA is independent of both the classic N/C ratio and of cell cycle lengthening.

Limitations of the Study

We detected a dramatic increase in genome-wide recruitment of RNAPII over the cleavage stages during which the genome begins to be transcribed. We used within-sample normalization to scale developmental stage-specific RNAPII profiles. However, because of the large differences in total RNAPII enrichment between samples, chromatin spike-ins are now considered a more accurate method to normalize ChIP-seq profiles across consecutive developmental stages (Chen et al., 2015). We combined separate whole-embryo determinations of RNAPII engagement and transcript levels to reveal the temporal dynamics of ZGA. This approach could be improved by profiling RNAPII-associated RNA to directly couple RNAPII elongation with transcript accumulation (e.g., Churchman and Weissman, 2011). In addition, the spatial resolution of ZGA, which is based on transcriptomics of dissected embryonic parts in our study, could be enhanced by various deep single-cell profiling and super-resolution imaging technologies. We show that most regional ZGA depends on Wnt, Nodal, and BMP signals, but an important question remains: How are these signals integrated at the chromatin level to sustain RNAPII-mediated transcript elongation? In part, this could be investigated by targeted genome editing to increase our understanding of signal-responsive gene regulatory DNA.

Methods

All methods can be found in the accompanying Transparent Methods supplemental file.

Acknowledgments

We thank Abdul Sesay, Leena Bhaw, Harsha Jani, Deborah Jackson, and Meena Anissi for deep sequencing; Mareike Thompson for critical reading of the manuscript; and the Smith laboratory for discussions and advice. G.E.G and J.C.S. were supported by the Medical Research Council (program number U117597140) and are now supported by the Francis Crick Institute, which receives its core funding from Cancer Research UK (FC001-157), the UK Medical Research Council (FC001-157), and the Wellcome Trust (FC001-157).

Author Contributions

Conceptualization, G.E.G.; Methodology, G.E.G.; Computational Code, G.E.G.; Formal Analysis, G.E.G. and N.D.L.O.; Investigation, G.E.G.; Writing – Original Draft, G.E.G. and J.C.S.; Writing – Review & Editing, G.E.G and J.C.S.; Funding Acquisition, J.C.S.

Declaration of Interests

The authors declare no competing interests.

Published: June 28, 2019

Footnotes

Supplemental Information can be found online at https://doi.org/10.1016/j.isci.2019.06.013.

Contributor Information

George E. Gentsch, Email: george.gentsch@crick.ac.uk.

James C. Smith, Email: jim.smith@crick.ac.uk.

Supplemental Information

Document S1. Transparent Methods, Figures S1–S3, and Table S1
mmc1.pdf (6.4MB, pdf)
Table S2. Temporal Progression of ZGA, Related to Figure 1

Activated genes are listed according to the earliest developmental stage of full-length RNAPII occupancy. The lists also include the overall enrichment of RNAPII across the gene body, the maternal contribution (TPM) (Owens et al., 2016), and the enrichment of de novo synthesized transcripts determined by 4sU tagging at the MBT and the early gastrula stage.

mmc2.xlsx (1.3MB, xlsx)
Table S3. Differential ZGA Analysis, Related to Figures 2, 3, and 4

Differential expression analysis of genes showing ≥50% (FDR ≤10%) reduced transcript levels in α-amanitin-injected embryos. Normalized transcript levels (inferred from exon or intron counts) are scaled (percentage, %) to the expression level in control embryos. The list also includes FDRs, expression ratios across the animal-vegetal or dorsoventral axis (Blitz et al., 2017), the earliest developmental stage of full-length RNAPII occupancy, and average expression levels between 0 and 1 hpf (maternal) and 5 and 9 hpf (from the MBT to the mid-gastrula stage).

mmc3.xlsx (1.2MB, xlsx)

References

  1. Agius E., Oelgeschlager M., Wessely O., Kemp C., De Robertis E.M. Endodermal Nodal-related signals and mesoderm induction in Xenopus. Development. 2000;127:1173–1183. doi: 10.1242/dev.127.6.1173. [DOI] [PMC free article] [PubMed] [Google Scholar]; Agius, E., Oelgeschlager, M., Wessely, O., Kemp, C., and De Robertis, E.M.. (2000). Endodermal Nodal-related signals and mesoderm induction in Xenopus. Development 127, 1173-1183. [DOI] [PMC free article] [PubMed]
  2. Ali-Murthy Z., Lott S.E., Eisen M.B., Kornberg T.B. An essential role for zygotic expression in the pre-cellular Drosophila embryo. PLoS Genet. 2013;9:e1003428. doi: 10.1371/journal.pgen.1003428. [DOI] [PMC free article] [PubMed] [Google Scholar]; Ali-Murthy, Z., Lott, S.E., Eisen, M.B., and Kornberg, T.B.. (2013). An essential role for zygotic expression in the pre-cellular Drosophila embryo. PLoS Genet. 9, e1003428. [DOI] [PMC free article] [PubMed]
  3. Anderson G.A., Gelens L., Baker J.C., Ferrell J.E. Desynchronizing embryonic cell division waves reveals the robustness of Xenopus laevis development. Cell Rep. 2017;21:37–46. doi: 10.1016/j.celrep.2017.09.017. [DOI] [PMC free article] [PubMed] [Google Scholar]; Anderson, G.A., Gelens, L., Baker, J.C., and Ferrell, J.E.. (2017). Desynchronizing embryonic cell division waves reveals the robustness of Xenopus laevis development. Cell Rep.. 21, 37-46. [DOI] [PMC free article] [PubMed]
  4. Arnold S.J., Robertson E.J. Making a commitment: cell lineage allocation and axis patterning in the early mouse embryo. Nat. Rev. Mol. Cell Biol. 2009;10:91–103. doi: 10.1038/nrm2618. [DOI] [PubMed] [Google Scholar]; Arnold, S.J., and Robertson, E.J.. (2009). Making a commitment: cell lineage allocation and axis patterning in the early mouse embryo. Nat. Rev. Mol. Cell Biol. 10, 91-103. [DOI] [PubMed]
  5. Boija A., Klein I.A., Sabari B.R., Dall'Agnese A., Coffey E.L., Zamudio A.V., Li C.H., Shrinivas K., Manteiga J.C., Hannett N.M. Transcription factors activate genes through the phase-separation capacity of their activation domains. Cell. 2018;175:1842–1855.e16. doi: 10.1016/j.cell.2018.10.042. [DOI] [PMC free article] [PubMed] [Google Scholar]; Boija, A., Klein, I.A., Sabari, B.R., Dall'Agnese, A., Coffey, E.L., Zamudio, A.V., Li, C.H., Shrinivas, K., Manteiga, J.C., Hannett, N.M., et al. (2018). Transcription factors activate genes through the phase-separation capacity of their activation domains. Cell 175, 1842-1855.e16. [DOI] [PMC free article] [PubMed]
  6. Blitz I.L., Paraiso K.D., Patrushev I., Chiu W.T.Y., Cho K.W.Y., Gilchrist M.J. A catalog of Xenopus tropicalis transcription factors and their regional expression in the early gastrula stage embryo. Dev. Biol. 2017;426:409–417. doi: 10.1016/j.ydbio.2016.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]; Blitz, I.L., Paraiso, K.D., Patrushev, I., Chiu, W.T.Y., Cho, K.W.Y., and Gilchrist, M.J.. (2017). A catalog of Xenopus tropicalis transcription factors and their regional expression in the early gastrula stage embryo. Dev. Biol. 426, 409-417. [DOI] [PMC free article] [PubMed]
  7. Blythe S.A., Wieschaus E.F. Zygotic genome activation triggers the DNA replication checkpoint at the midblastula transition. Cell. 2015;160:1169–1181. doi: 10.1016/j.cell.2015.01.050. [DOI] [PMC free article] [PubMed] [Google Scholar]; Blythe, S.A., and Wieschaus, E.F.. (2015). Zygotic genome activation triggers the DNA replication checkpoint at the midblastula transition. Cell 160, 1169-1181. [DOI] [PMC free article] [PubMed]
  8. Bolton V.N., Oades P.J., Johnson M.H. The relationship between cleavage, DNA replication, and gene expression in the mouse 2-cell embryo. J. Embryol. Exp. Morphol. 1984;79:139–163. [PubMed] [Google Scholar]; Bolton, V.N., Oades, P.J., and Johnson, M.H.. (1984). The relationship between cleavage, DNA replication, and gene expression in the mouse 2-cell embryo. J. Embryol. Exp. Morphol.. 79, 139-163. [PubMed]
  9. Braude P., Bolton V., Moore S. Human gene expression first occurs between the four- and eight-cell stages of preimplantation development. Nature. 1988;332:459–461. doi: 10.1038/332459a0. [DOI] [PubMed] [Google Scholar]; Braude, P., Bolton, V., and Moore, S.. (1988). Human gene expression first occurs between the four- and eight-cell stages of preimplantation development. Nature 332, 459-461. [DOI] [PubMed]
  10. Chan S.H., Tang Y., Miao L., Darwich-Codore H., Vejnar C.E., Beaudoin J.-D., Musaev D., Fernandez J.P., Moreno-Mateos M.A., Giraldez A.J. Brd4 and P300 regulate zygotic genome activation through histone acetylation. bioRxiv. 2018 doi: 10.1101/369231. [DOI] [Google Scholar]; Chan, S.H., Tang, Y., Miao, L., Darwich-Codore, H., Vejnar, C.E., Beaudoin, J.-D., Musaev, D., Fernandez, J.P., Moreno-Mateos, M.A., and Giraldez, A.J.. (2018). Brd4 and P300 regulate zygotic genome activation through histone acetylation. bioRxiv 369231. DOI: https://doi.org/10.1101/369231
  11. Chen K., Hu Z., Xia Z., Zhao D., Li W., Tyler J.K. The overlooked fact: fundamental need for spike-in control for virtually all genome-wide analyses. Mol. Cell. Biol. 2015;36:662–667. doi: 10.1128/MCB.00970-14. [DOI] [PMC free article] [PubMed] [Google Scholar]; Chen, K., Hu, Z., Xia, Z., Zhao, D., Li, W., and Tyler, J.K.. (2015). The overlooked fact: fundamental need for spike-in control for virtually all genome-wide analyses. Mol. Cell. Biol. 36, 662-667. [DOI] [PMC free article] [PubMed]
  12. Chen K., Johnston J., Shao W., Meier S., Staber C., Zeitlinger J. A global change in RNA polymerase II pausing during the Drosophila midblastula transition. Elife. 2013;2:e00861. doi: 10.7554/eLife.00861. [DOI] [PMC free article] [PubMed] [Google Scholar]; Chen, K., Johnston, J., Shao, W., Meier, S., Staber, C., and Zeitlinger, J.. (2013). A global change in RNA polymerase II pausing during the Drosophila midblastula transition. Elife 2, e00861. [DOI] [PMC free article] [PubMed]
  13. Cho W.-K., Spille J.-H., Hecht M., Lee C., Li C., Grube V., Cisse I.I. Mediator and RNA polymerase II clusters associate in transcription-dependent condensates. Science. 2018;361:412–415. doi: 10.1126/science.aar4199. [DOI] [PMC free article] [PubMed] [Google Scholar]; Cho, W.-K., Spille, J.-H., Hecht, M., Lee, C., Li, C., Grube, V., and Cisse, I.I.. (2018). Mediator and RNA polymerase II clusters associate in transcription-dependent condensates. Science 361, 412-415. [DOI] [PMC free article] [PubMed]
  14. Chong S., Dugast-Darzacq C., Liu Z., Dong P., Dailey G.M., Cattoglio C., Heckert A., Banala S., Lavis L., Darzacq X. Imaging dynamic and selective low-complexity domain interactions that control gene transcription. Science. 2018;361:eaar2555. doi: 10.1126/science.aar2555. [DOI] [PMC free article] [PubMed] [Google Scholar]; Chong, S., Dugast-Darzacq, C., Liu, Z., Dong, P., Dailey, G.M., Cattoglio, C., Heckert, A., Banala, S., Lavis, L., Darzacq, X., et al. (2018). Imaging dynamic and selective low-complexity domain interactions that control gene transcription. Science 361, eaar2555. [DOI] [PMC free article] [PubMed]
  15. Christian J.L., Moon R.T. Interactions between Xwnt-8 and Spemann organizer signaling pathways generate dorsoventral pattern in the embryonic mesoderm of Xenopus. Genes Dev. 1993;7:13–28. doi: 10.1101/gad.7.1.13. [DOI] [PubMed] [Google Scholar]; Christian, J.L., and Moon, R.T.. (1993). Interactions between Xwnt-8 and Spemann organizer signaling pathways generate dorsoventral pattern in the embryonic mesoderm of Xenopus. Genes Dev. 7, 13-28. [DOI] [PubMed]
  16. Churchman L.S., Weissman J.S. Nascent transcript sequencing visualizes transcription at nucleotide resolution. Nature. 2011;469:368–373. doi: 10.1038/nature09652. [DOI] [PMC free article] [PubMed] [Google Scholar]; Churchman L.S. and Weissman J.S., Nascent transcript sequencing visualizes transcription at nucleotide resolution, Nature 469, 2011, 368–373 [DOI] [PMC free article] [PubMed]
  17. Collart C., Owens N.D.L., Bhaw-Rosun L., Cooper B., De Domenico E., Patrushev I., Sesay A.K., Smith J.N., Smith J.C., Gilchrist M.J. High-resolution analysis of gene activity during the Xenopus mid-blastula transition. Development. 2014;141:1927–1939. doi: 10.1242/dev.102012. [DOI] [PMC free article] [PubMed] [Google Scholar]; Collart, C., Owens, N.D.L., Bhaw-Rosun, L., Cooper, B., De Domenico, E., Patrushev, I., Sesay, A.K., Smith, J.N., Smith, J.C., and Gilchrist, M.J.. (2014). High-resolution analysis of gene activity during the Xenopus mid-blastula transition. Development 141, 1927-1939. [DOI] [PMC free article] [PubMed]
  18. Cuny G.D., Yu P.B., Laha J.K., Xing X., Liu J.-F., Lai C.S., Deng D.Y., Sachidanandan C., Bloch K.D., Peterson R.T. Structure-activity relationship study of bone morphogenetic protein (BMP) signaling inhibitors. Bioorg. Med. Chem. Lett. 2008;18:4388–4392. doi: 10.1016/j.bmcl.2008.06.052. [DOI] [PMC free article] [PubMed] [Google Scholar]; Cuny, G.D., Yu, P.B., Laha, J.K., Xing, X., Liu, J.-F., Lai, C.S., Deng, D.Y., Sachidanandan, C., Bloch, K.D., and Peterson, R.T.. (2008). Structure-activity relationship study of bone morphogenetic protein (BMP) signaling inhibitors. Bioorg. Med. Chem. Lett. 18, 4388-4392. [DOI] [PMC free article] [PubMed]
  19. De Iaco A., Coudray A., Duc J., Trono D. DPPA2 and DPPA4 are necessary to establish a 2C-like state in mouse embryonic stem cells. EMBO Rep. 2019;20:e47382. doi: 10.15252/embr.201847382. [DOI] [PMC free article] [PubMed] [Google Scholar]; De Iaco, A., Coudray, A., Duc, J., and Trono, D.. (2019). DPPA2 and DPPA4 are necessary to establish a 2C-like state in mouse embryonic stem cells. EMBO Rep.;20 e47382. [DOI] [PMC free article] [PubMed]
  20. Du Z., Zheng H., Huang B., Ma R., Wu J., Zhang X., He J., Xiang Y., Wang Q., Li Y. Allelic reprogramming of 3D chromatin architecture during early mammalian development. Nature. 2017;547:232–235. doi: 10.1038/nature23263. [DOI] [PubMed] [Google Scholar]; Du, Z., Zheng, H., Huang, B., Ma, R., Wu, J., Zhang, X., He, J., Xiang, Y., Wang, Q., Li, Y., et al. (2017). Allelic reprogramming of 3D chromatin architecture during early mammalian development. Nature 547, 232-235. [DOI] [PubMed]
  21. Eckersley-Maslin M., Alda-Catalinas C., Blotenburg M., Kreibich E., Krueger C., Reik W. Dppa2 and Dppa4 directly regulate the Dux-driven zygotic transcriptional program. Genes Dev. 2019;33:194–208. doi: 10.1101/gad.321174.118. [DOI] [PMC free article] [PubMed] [Google Scholar]; Eckersley-Maslin, M., Alda-Catalinas, C., Blotenburg, M., Kreibich, E., Krueger, C., and Reik, W.. (2019). Dppa2 and Dppa4 directly regulate the Dux-driven zygotic transcriptional program. Genes Dev. 33, 194-208. [DOI] [PMC free article] [PubMed]
  22. Faure S., Lee M.A., Keller T., Dijke, ten P., Whitman M. Endogenous patterns of TGFbeta superfamily signaling during early Xenopus development. Development. 2000;127:2917–2931. doi: 10.1242/dev.127.13.2917. [DOI] [PubMed] [Google Scholar]; Faure, S., Lee, M.A., Keller, T., Dijke, ten, P., and Whitman, M.. (2000). Endogenous patterns of TGFbeta superfamily signaling during early Xenopus development. Development 127, 2917-2931. [DOI] [PubMed]
  23. Flyamer I.M., Gassler J., Imakaev M., Brandão H.B., Ulianov S.V., Abdennur N., Razin S.V., Mirny L.A., Tachibana-Konwalski K. Single-nucleus Hi-C reveals unique chromatin reorganization at oocyte-to-zygote transition. Nature. 2017;544:110–114. doi: 10.1038/nature21711. [DOI] [PMC free article] [PubMed] [Google Scholar]; Flyamer, I.M., Gassler, J., Imakaev, M., Brandao, H.B., Ulianov, S.V., Abdennur, N., Razin, S.V., Mirny, L.A., and Tachibana-Konwalski, K.. (2017). Single-nucleus Hi-C reveals unique chromatin reorganization at oocyte-to-zygote transition. Nature 544, 110-114. [DOI] [PMC free article] [PubMed]
  24. Fuentealba L.C., Eivers E., Ikeda A., Hurtado C., Kuroda H., Pera E.M., De Robertis E.M. Integrating patterning signals: wnt/GSK3 regulates the duration of the BMP/Smad1 signal. Cell. 2007;131:980–993. doi: 10.1016/j.cell.2007.09.027. [DOI] [PMC free article] [PubMed] [Google Scholar]; Fuentealba, L.C., Eivers, E., Ikeda, A., Hurtado, C., Kuroda, H., Pera, E.M., and De Robertis, E.M.. (2007). Integrating patterning signals: wnt/GSK3 regulates the duration of the BMP/Smad1 signal. Cell 131, 980-993. [DOI] [PMC free article] [PubMed]
  25. Fukaya T., Lim B., Levine M. Rapid rates of pol II elongation in the Drosophila embryo. Curr. Biol. 2017;27:1387–1391. doi: 10.1016/j.cub.2017.03.069. [DOI] [PMC free article] [PubMed] [Google Scholar]; Fukaya, T., Lim, B., and Levine, M.. (2017). Rapid rates of pol II elongation in the Drosophila embryo. Curr. Biol. 27, 1387-1391. [DOI] [PMC free article] [PubMed]
  26. Gentsch G.E., Spruce T., Monteiro R.S., Owens N.D.L., Martin S.R., Smith J.C. Innate immune response and off-target mis-splicing are common morpholino-induced side effects in Xenopus. Dev. Cell. 2018;44:597–610.e10. doi: 10.1016/j.devcel.2018.01.022. [DOI] [PMC free article] [PubMed] [Google Scholar]; Gentsch, G.E., Spruce, T., Monteiro, R.S., Owens, N.D.L., Martin, S.R., and Smith, J.C.. (2018a). Innate immune response and off-target mis-splicing are common morpholino-induced side effects in Xenopus. Dev. Cell 44, 597-610.e10. [DOI] [PMC free article] [PubMed]
  27. Gentsch G.E., Spruce T., Owens N.D.L., Smith J.C. The role of maternal pioneer factors in predefining first zygotic responses to inductive signals. bioRxiv. 2018 doi: 10.1101/306803. [DOI] [Google Scholar]; Gentsch, G.E., Spruce, T., Owens, N.D.L., and Smith, J.C.. (2018b). The role of maternal pioneer factors in predefining first zygotic responses to inductive signals. bioRxiv 306803. DOI: https://doi.org/10.1101/306803
  28. Giraldez A.J., Cinalli R.M., Glasner M.E., Enright A.J., Thomson J.M., Baskerville S., Hammond S.M., Bartel D.P., Schier A.F. MicroRNAs regulate brain morphogenesis in zebrafish. Science. 2005;308:833–838. doi: 10.1126/science.1109020. [DOI] [PubMed] [Google Scholar]; Giraldez, A.J., Cinalli, R.M., Glasner, M.E., Enright, A.J., Thomson, J.M., Baskerville, S., Hammond, S.M., Bartel, D.P., and Schier, A.F.. (2005). MicroRNAs regulate brain morphogenesis in zebrafish. Science 308, 833-838. [DOI] [PubMed]
  29. Giraldez A.J., Mishima Y., Rihel J., Grocock R.J., Van Dongen S., Inoue K., Enright A.J., Schier A.F. Zebrafish MiR-430 promotes deadenylation and clearance of maternal mRNAs. Science. 2006;312:75–79. doi: 10.1126/science.1122689. [DOI] [PubMed] [Google Scholar]; Giraldez, A.J., Mishima, Y., Rihel, J., Grocock, R.J., Van Dongen, S., Inoue, K., Enright, A.J., and Schier, A.F.. (2006). Zebrafish MiR-430 promotes deadenylation and clearance of maternal mRNAs. Science 312, 75-79. [DOI] [PubMed]
  30. Gu Z., Eils R., Schlesner M. HilbertCurve: an R/Bioconductor package for high-resolution visualization of genomic data. Bioinformatics. 2016;32:2372–2374. doi: 10.1093/bioinformatics/btw161. [DOI] [PubMed] [Google Scholar]; Gu, Z., Eils, R., and Schlesner, M.. (2016). HilbertCurve: an R/Bioconductor package for high-resolution visualization of genomic data. Bioinformatics 32, 2372-2374. [DOI] [PubMed]
  31. Halley-Stott R.P., Jullien J., Pasque V., Gurdon J. Mitosis gives a brief window of opportunity for a change in gene transcription. PLoS Biol. 2014;12:e1001914. doi: 10.1371/journal.pbio.1001914. [DOI] [PMC free article] [PubMed] [Google Scholar]; Halley-Stott, R.P., Jullien, J., Pasque, V., and Gurdon, J.. (2014). Mitosis gives a brief window of opportunity for a change in gene transcription. PLoS Biol. 12, e1001914. [DOI] [PMC free article] [PubMed]
  32. Hamatani T., Carter M.G., Sharov A.A., Ko M.S.H. Dynamics of global gene expression changes during mouse preimplantation development. Dev. Cell. 2004;6:117–131. doi: 10.1016/s1534-5807(03)00373-3. [DOI] [PubMed] [Google Scholar]; Hamatani, T., Carter, M.G., Sharov, A.A., and Ko, M.S.H.. (2004). Dynamics of global gene expression changes during mouse preimplantation development. Dev. Cell 6, 117-131. [DOI] [PubMed]
  33. Harvey S.A., Sealy I., Kettleborough R., Fenyes F., White R., Stemple D., Smith J.C. Identification of the zebrafish maternal and paternal transcriptomes. Development. 2013;140:2703–2710. doi: 10.1242/dev.095091. [DOI] [PMC free article] [PubMed] [Google Scholar]; Harvey, S.A., Sealy, I., Kettleborough, R., Fenyes, F., White, R., Stemple, D., and Smith, J.C.. (2013). Identification of the zebrafish maternal and paternal transcriptomes. Development 140, 2703-2710. [DOI] [PMC free article] [PubMed]
  34. Harvey S.A., Tümpel S., Dubrulle J., Schier A.F., Smith J.C. no tail integrates two modes of mesoderm induction. Development. 2010;137:1127–1135. doi: 10.1242/dev.046318. [DOI] [PMC free article] [PubMed] [Google Scholar]; Harvey, S.A., Tumpel, S., Dubrulle, J., Schier, A.F., and Smith, J.C.. (2010). no tail integrates two modes of mesoderm induction. Development 137, 1127-1135. [DOI] [PMC free article] [PubMed]
  35. Heasman J. Patterning the early Xenopus embryo. Development. 2006;133:1205–1217. doi: 10.1242/dev.02304. [DOI] [PubMed] [Google Scholar]; Heasman, J.. (2006). Patterning the early Xenopus embryo. Development 133, 1205-1217. [DOI] [PubMed]
  36. Heasman J., Kofron M., Wylie C. βCatenin signaling activity dissected in the early Xenopus embryo: a novel antisense approach. Dev. Biol. 2000;222:124–134. doi: 10.1006/dbio.2000.9720. [DOI] [PubMed] [Google Scholar]; Heasman, J., Kofron, M., and Wylie, C.. (2000). βCatenin signaling activity dissected in the early Xenopus embryo: a novel antisense approach. Dev. Biol. 222, 124-134. [DOI] [PubMed]
  37. Heyn P., Kircher M., Dahl A., Kelso J., Tomancak P., Kalinka A.T., Neugebauer K.M. The earliest transcribed zygotic genes are short, newly evolved, and different across species. Cell Rep. 2014;6:285–292. doi: 10.1016/j.celrep.2013.12.030. [DOI] [PubMed] [Google Scholar]; Heyn, P., Kircher, M., Dahl, A., Kelso, J., Tomancak, P., Kalinka, A.T., and Neugebauer, K.M.. (2014). The earliest transcribed zygotic genes are short, newly evolved, and different across species. Cell Rep.. 6, 285-292. [DOI] [PubMed]
  38. Ho D.M., Chan J., Bayliss P., Whitman M. Inhibitor-resistant type I receptors reveal specific requirements for TGF-beta signaling in vivo. Dev. Biol. 2006;295:730–742. doi: 10.1016/j.ydbio.2006.03.050. [DOI] [PubMed] [Google Scholar]; Ho, D.M., Chan, J., Bayliss, P., and Whitman, M.. (2006). Inhibitor-resistant type I receptors reveal specific requirements for TGF-beta signaling in vivo. Dev. Biol. 295, 730-742. [DOI] [PubMed]
  39. Hontelez S., van Kruijsbergen I., Georgiou G., van Heeringen S.J., Bogdanović O., Lister R., Veenstra G.J.C. Embryonic transcription is controlled by maternally defined chromatin state. Nat. Commun. 2015;6:10148. doi: 10.1038/ncomms10148. [DOI] [PMC free article] [PubMed] [Google Scholar]; Hontelez, S., van Kruijsbergen, I., Georgiou, G., van Heeringen, S.J., Bogdanović, O., Lister, R., and Veenstra, G.J.C.. (2015). Embryonic transcription is controlled by maternally defined chromatin state. Nat. Commun.. 6, 10148. [DOI] [PMC free article] [PubMed]
  40. Hug C.B., Grimaldi A.G., Kruse K., Vaquerizas J.M. Chromatin architecture emerges during zygotic genome activation independent of transcription. Cell. 2017;169:216–228.e19. doi: 10.1016/j.cell.2017.03.024. [DOI] [PubMed] [Google Scholar]; Hug, C.B., Grimaldi, A.G., Kruse, K., and Vaquerizas, J.M.. (2017). Chromatin architecture emerges during zygotic genome activation independent of transcription. Cell 169, 216-228.e19. [DOI] [PubMed]
  41. Inman G.J., Nicolás F.J., Callahan J.F., Harling J.D., Gaster L.M., Reith A.D., Laping N.J., Hill C.S. SB-431542 is a potent and specific inhibitor of transforming growth factor-beta superfamily type I activin receptor-like kinase (ALK) receptors ALK4, ALK5, and ALK7. Mol. Pharmacol. 2002;62:65–74. doi: 10.1124/mol.62.1.65. [DOI] [PubMed] [Google Scholar]; Inman, G.J., Nicolas, F.J., Callahan, J.F., Harling, J.D., Gaster, L.M., Reith, A.D., Laping, N.J., and Hill, C.S.. (2002). SB-431542 is a potent and specific inhibitor of transforming growth factor-beta superfamily type I activin receptor-like kinase (ALK) receptors ALK4, ALK5, and ALK7. Mol. Pharmacol.. 62, 65-74. [DOI] [PubMed]
  42. Jones C.M., Kuehn M.R., Hogan B.L., Smith J.C., Wright C.V. Nodal-related signals induce axial mesoderm and dorsalize mesoderm during gastrulation. Development. 1995;121:3651–3662. doi: 10.1242/dev.121.11.3651. [DOI] [PubMed] [Google Scholar]; Jones, C.M., Kuehn, M.R., Hogan, B.L., Smith, J.C., and Wright, C.V.. (1995). Nodal-related signals induce axial mesoderm and dorsalize mesoderm during gastrulation. Development 121, 3651-3662. [DOI] [PubMed]
  43. Joseph S.R., Pálfy M., Hilbert L., Kumar M., Karschau J., Zaburdaev V., Shevchenko A., Vastenhouw N.L. Competition between histone and transcription factor binding regulates the onset of transcription in zebrafish embryos. Elife. 2017;6:e23326. doi: 10.7554/eLife.23326. [DOI] [PMC free article] [PubMed] [Google Scholar]; Joseph, S.R., Palfy, M., Hilbert, L., Kumar, M., Karschau, J., Zaburdaev, V., Shevchenko, A., and Vastenhouw, N.L.. (2017). Competition between histone and transcription factor binding regulates the onset of transcription in zebrafish embryos. Elife 6, e23326. [DOI] [PMC free article] [PubMed]
  44. Jukam D., Shariati S.A.M., Skotheim J.M. Zygotic genome activation in vertebrates. Dev. Cell. 2017;42:316–332. doi: 10.1016/j.devcel.2017.07.026. [DOI] [PMC free article] [PubMed] [Google Scholar]; Jukam, D., Shariati, S.A.M., and Skotheim, J.M.. (2017). Zygotic genome activation in vertebrates. Dev. Cell 42, 316-332. [DOI] [PMC free article] [PubMed]
  45. Kaaij L.J.T., van der Weide R.H., Ketting R.F., de Wit E. Systemic loss and gain of chromatin architecture throughout zebrafish development. Cell Rep. 2018;24:1–10.e4. doi: 10.1016/j.celrep.2018.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]; Kaaij, L.J.T., van der Weide, R.H., Ketting, R.F., and de Wit, E.. (2018). Systemic loss and gain of chromatin architecture throughout zebrafish development. Cell Rep.. 24, 1-10.e4. [DOI] [PMC free article] [PubMed]
  46. Kane D.A., Kimmel C.B. The zebrafish midblastula transition. Development. 1993;119:447–456. doi: 10.1242/dev.119.2.447. [DOI] [PubMed] [Google Scholar]; Kane, D.A., and Kimmel, C.B.. (1993). The zebrafish midblastula transition. Development 119, 447-456. [DOI] [PubMed]
  47. Ke Y., Xu Y., Chen X., Feng S., Liu Z., Sun Y., Yao X., Li F., Zhu W., Gao L. 3D chromatin structures of mature gametes and structural reprogramming during mammalian embryogenesis. Cell. 2017;170:367–381.e20. doi: 10.1016/j.cell.2017.06.029. [DOI] [PubMed] [Google Scholar]; Ke, Y., Xu, Y., Chen, X., Feng, S., Liu, Z., Sun, Y., Yao, X., Li, F., Zhu, W., Gao, L., et al. (2017). 3D chromatin structures of mature gametes and structural reprogramming during mammalian embryogenesis. Cell 170, 367-381.e20. [DOI] [PubMed]
  48. Kimelman D. Mesoderm induction: from caps to chips. Nat. Rev. Genet. 2006;7:360–372. doi: 10.1038/nrg1837. [DOI] [PubMed] [Google Scholar]; Kimelman, D.. (2006). Mesoderm induction: from caps to chips. Nat. Rev. Genet. 7, 360-372. [DOI] [PubMed]
  49. Langley A.R., Smith J.C., Stemple D.L., Harvey S.A. New insights into the maternal to zygotic transition. Development. 2014;141:3834–3841. doi: 10.1242/dev.102368. [DOI] [PubMed] [Google Scholar]; Langley, A.R., Smith, J.C., Stemple, D.L., and Harvey, S.A.. (2014). New insights into the maternal to zygotic transition. Development 141, 3834-3841. [DOI] [PubMed]
  50. Larabell C.A., Torres M., Rowning B.A., Yost C., Miller J.R., Wu M., Kimelman D., Moon R.T. Establishment of the dorso-ventral axis in Xenopus embryos is presaged by early asymmetries in beta-catenin that are modulated by the Wnt signaling pathway. J. Cell Biol. 1997;136:1123–1136. doi: 10.1083/jcb.136.5.1123. [DOI] [PMC free article] [PubMed] [Google Scholar]; Larabell, C.A., Torres, M., Rowning, B.A., Yost, C., Miller, J.R., Wu, M., Kimelman, D., and Moon, R.T.. (1997). Establishment of the dorso-ventral axis in Xenopus embryos is presaged by early asymmetries in beta-catenin that are modulated by the Wnt signaling pathway. J. Cell Biol. 136, 1123-1136. [DOI] [PMC free article] [PubMed]
  51. Lemaire P., Garrett N., Gurdon J.B. Expression cloning of Siamois, a Xenopus homeobox gene expressed in dorsal-vegetal cells of blastulae and able to induce a complete secondary axis. Cell. 1995;81:85–94. doi: 10.1016/0092-8674(95)90373-9. [DOI] [PubMed] [Google Scholar]; Lemaire, P., Garrett, N., and Gurdon, J.B.. (1995). Expression cloning of Siamois, a Xenopus homeobox gene expressed in dorsal-vegetal cells of blastulae and able to induce a complete secondary axis. Cell 81, 85-94. [DOI] [PubMed]
  52. Lee M.T., Bonneau A.R., Takacs C.M., Bazzini A.A., Divito K.R., Fleming E.S., Giraldez A.J. Nanog, Pou5f1 and SoxB1 activate zygotic gene expression during the maternal-to-zygotic transition. Nature. 2013;503:360–364. doi: 10.1038/nature12632. [DOI] [PMC free article] [PubMed] [Google Scholar]; Lee, M.T., Bonneau, A.R., Takacs, C.M., Bazzini, A.A., Divito, K.R., Fleming, E.S., and Giraldez, A.J.. (2013). Nanog, Pou5f1 and SoxB1 activate zygotic gene expression during the maternal-to-zygotic transition. Nature 503, 360-364. [DOI] [PMC free article] [PubMed]
  53. Leichsenring M., Maes J., Mössner R., Driever W., Onichtchouk D. Pou5f1 transcription factor controls zygotic gene activation in vertebrates. Science. 2013;341:1005–1009. doi: 10.1126/science.1242527. [DOI] [PubMed] [Google Scholar]; Leichsenring, M., Maes, J., Mossner, R., Driever, W., and Onichtchouk, D.. (2013). Pou5f1 transcription factor controls zygotic gene activation in vertebrates. Science 341, 1005-1009. [DOI] [PubMed]
  54. Liang H.-L., Nien C.-Y., Liu H.-Y., Metzstein M.M., Kirov N., Rushlow C. The zinc-finger protein Zelda is a key activator of the early zygotic genome in Drosophila. Nature. 2008;456:400–403. doi: 10.1038/nature07388. [DOI] [PMC free article] [PubMed] [Google Scholar]; Liang, H.-L., Nien, C.-Y., Liu, H.-Y., Metzstein, M.M., Kirov, N., and Rushlow, C.. (2008). The zinc-finger protein Zelda is a key activator of the early zygotic genome in Drosophila. Nature 456, 400-403. [DOI] [PMC free article] [PubMed]
  55. Liu G., Wang W., Hu S., Wang X., Zhang Y. Inherited DNA methylation primes the establishment of accessible chromatin during genome activation. Genome Res. 2018;28:998–1007. doi: 10.1101/gr.228833.117. [DOI] [PMC free article] [PubMed] [Google Scholar]; Liu, G., Wang, W., Hu, S., Wang, X., and Zhang, Y.. (2018). Inherited DNA methylation primes the establishment of accessible chromatin during genome activation. Genome Res. 28, 998-1007. [DOI] [PMC free article] [PubMed]
  56. Lott S.E., Villalta J.E., Schroth G.P., Luo S., Tonkin L.A., Eisen M.B. Noncanonical compensation of zygotic X transcription in early Drosophila melanogaster development revealed through single-embryo RNA-seq. PLoS Biol. 2011;9:e1000590. doi: 10.1371/journal.pbio.1000590. [DOI] [PMC free article] [PubMed] [Google Scholar]; Lott, S.E., Villalta, J.E., Schroth, G.P., Luo, S., Tonkin, L.A., and Eisen, M.B.. (2011). Noncanonical compensation of zygotic X transcription in early Drosophila melanogaster development revealed through single-embryo RNA-seq. PLoS Biol. 9, e1000590. [DOI] [PMC free article] [PubMed]
  57. Lu F., Liu Y., Inoue A., Suzuki T., Zhao K., Zhang Y. Establishing chromatin regulatory landscape during mouse preimplantation development. Cell. 2016;165:1375–1388. doi: 10.1016/j.cell.2016.05.050. [DOI] [PMC free article] [PubMed] [Google Scholar]; Lu, F., Liu, Y., Inoue, A., Suzuki, T., Zhao, K., and Zhang, Y.. (2016). Establishing chromatin regulatory landscape during mouse preimplantation development. Cell 165, 1375-1388. [DOI] [PMC free article] [PubMed]
  58. Lu X., Li J.M., Elemento O., Tavazoie S., Wieschaus E.F. Coupling of zygotic transcription to mitotic control at the Drosophila mid-blastula transition. Development. 2009;136:2101–2110. doi: 10.1242/dev.034421. [DOI] [PMC free article] [PubMed] [Google Scholar]; Lu, X., Li, J.M., Elemento, O., Tavazoie, S., and Wieschaus, E.F.. (2009). Coupling of zygotic transcription to mitotic control at the Drosophila mid-blastula transition. Development 136, 2101-2110. [DOI] [PMC free article] [PubMed]
  59. Lund E., Liu M., Hartley R.S., Sheets M.D., Dahlberg J.E. Deadenylation of maternal mRNAs mediated by miR-427 in Xenopus laevis embryos. RNA. 2009;15:2351–2363. doi: 10.1261/rna.1882009. [DOI] [PMC free article] [PubMed] [Google Scholar]; Lund, E., Liu, M., Hartley, R.S., Sheets, M.D., and Dahlberg, J.E.. (2009). Deadenylation of maternal mRNAs mediated by miR-427 in Xenopus laevis embryos. RNA 15, 2351-2363. [DOI] [PMC free article] [PubMed]
  60. Mathavan S., Lee S.G.P., Mak A., Miller L.D., Murthy K.R.K., Govindarajan K.R., Tong Y., Wu Y.L., Lam S.H., Yang H. Transcriptome analysis of zebrafish embryogenesis using microarrays. PLoS Genet. 2005;1:260–276. doi: 10.1371/journal.pgen.0010029. [DOI] [PMC free article] [PubMed] [Google Scholar]; Mathavan, S., Lee, S.G.P., Mak, A., Miller, L.D., Murthy, K.R.K., Govindarajan, K.R., Tong, Y., Wu, Y.L., Lam, S.H., Yang, H., et al. (2005). Transcriptome analysis of zebrafish embryogenesis using microarrays. PLoS Genet. 1, 260-276. [DOI] [PMC free article] [PubMed]
  61. Newport J., Kirschner M.W. A major developmental transition in early xenopus embryos: I. characterization and timing of cellular changes at the midblastula stage. Cell. 1982;30:675–686. doi: 10.1016/0092-8674(82)90272-0. [DOI] [PubMed] [Google Scholar]; Newport, J., and Kirschner, M.W.. (1982a). A major developmental transition in early xenopus embryos: I. characterization and timing of cellular changes at the midblastula stage. Cell 30, 675-686. [DOI] [PubMed]
  62. Newport J., Kirschner M.W. A major developmental transition in early xenopus embryos: II. control of the onset of transcription. Cell. 1982;30:687–696. doi: 10.1016/0092-8674(82)90273-2. [DOI] [PubMed] [Google Scholar]; Newport, J., and Kirschner, M.W.. (1982b). A major developmental transition in early xenopus embryos: II. control of the onset of transcription. Cell 30, 687-696. [DOI] [PubMed]
  63. Nudelman G., Frasca A., Kent B., Sadler K.C., Sealfon S.C., Walsh M.J., Zaslavsky E. High resolution annotation of zebrafish transcriptome using long-read sequencing. Genome Res. 2018;28:1415–1425. doi: 10.1101/gr.223586.117. [DOI] [PMC free article] [PubMed] [Google Scholar]; Nudelman, G., Frasca, A., Kent, B., Sadler, K.C., Sealfon, S.C., Walsh, M.J., and Zaslavsky, E.. (2018). High resolution annotation of zebrafish transcriptome using long-read sequencing. Genome Res. 28, 1415-1425. [DOI] [PMC free article] [PubMed]
  64. Owens N.D.L., Blitz I.L., Lane M.A., Patrushev I., Overton J.D., Gilchrist M.J., Cho K.W.Y., Khokha M.K. Measuring absolute RNA copy numbers at high temporal resolution reveals transcriptome kinetics in development. Cell Rep. 2016;14:632–647. doi: 10.1016/j.celrep.2015.12.050. [DOI] [PMC free article] [PubMed] [Google Scholar]; Owens, N.D.L., Blitz, I.L., Lane, M.A., Patrushev, I., Overton, J.D., Gilchrist, M.J., Cho, K.W.Y., and Khokha, M.K.. (2016). Measuring absolute RNA copy numbers at high temporal resolution reveals transcriptome kinetics in development. Cell Rep.. 14, 632-647. [DOI] [PMC free article] [PubMed]
  65. Reversade B., Kuroda H., Lee H., Mays A., De Robertis E.M. Depletion of Bmp2, Bmp4, Bmp7 and Spemann organizer signals induces massive brain formation in Xenopus embryos. Development. 2005;132:3381–3392. doi: 10.1242/dev.01901. [DOI] [PMC free article] [PubMed] [Google Scholar]; Reversade, B., Kuroda, H., Lee, H., Mays, A., and De Robertis, E.M.. (2005). Depletion of Bmp2, Bmp4, Bmp7 and Spemann organizer signals induces massive brain formation in Xenopus embryos. Development 132, 3381-3392. [DOI] [PMC free article] [PubMed]
  66. Sabari B.R., Dall'Agnese A., Boija A., Klein I.A., Coffey E.L., Shrinivas K., Abraham B.J., Hannett N.M., Zamudio A.V., Manteiga J.C. Coactivator condensation at super-enhancers links phase separation and gene control. Science. 2018;361:eaar3958. doi: 10.1126/science.aar3958. [DOI] [PMC free article] [PubMed] [Google Scholar]; Sabari, B.R., Dall'Agnese, A., Boija, A., Klein, I.A., Coffey, E.L., Shrinivas, K., Abraham, B.J., Hannett, N.M., Zamudio, A.V., Manteiga, J.C., et al. (2018). Coactivator condensation at super-enhancers links phase separation and gene control. Science 361, eaar3958. [DOI] [PMC free article] [PubMed]
  67. Schneider S., Steinbeisser H., Warga R., Hausen P. Beta-catenin translocation into nuclei demarcates the dorsalizing centers in frog and fish embryos. Mech. Dev. 1996;57:191–198. doi: 10.1016/0925-4773(96)00546-1. [DOI] [PubMed] [Google Scholar]; Schneider, S., Steinbeisser, H., Warga, R., and Hausen, P.. (1996). Beta-catenin translocation into nuclei demarcates the dorsalizing centers in frog and fish embryos. Mech. Dev. 57, 191-198. [DOI] [PubMed]
  68. Schohl A., Fagotto F. Beta-catenin, MAPK and Smad signaling during early Xenopus development. Development. 2002;129:37–52. doi: 10.1242/dev.129.1.37. [DOI] [PubMed] [Google Scholar]; Schohl, A., and Fagotto, F.. (2002). Beta-catenin, MAPK and Smad signaling during early Xenopus development. Development 129, 37-52. [DOI] [PubMed]
  69. Shermoen A.W., O'Farrell P.H. Progression of the cell cycle through mitosis leads to abortion of nascent transcripts. Cell. 1991;67:303–310. doi: 10.1016/0092-8674(91)90182-x. [DOI] [PMC free article] [PubMed] [Google Scholar]; Shermoen, A.W., and O'Farrell, P.H.. (1991). Progression of the cell cycle through mitosis leads to abortion of nascent transcripts. Cell 67, 303-310. [DOI] [PMC free article] [PubMed]
  70. Shrinivas K., Sabari B.R., Coffey E.L., Klein I.A., Boija A., Zamudio A.V., Schuijers J., Hannett N.M., Sharp P.A., Young R.A. Enhancer features that drive formation of transcriptional condensates. bioRxiv. 2018 doi: 10.1101/495606. [DOI] [PMC free article] [PubMed] [Google Scholar]; Shrinivas, K., Sabari, B.R., Coffey, E.L., Klein, I.A., Boija, A., Zamudio, A.V., Schuijers, J., Hannett, N.M., Sharp, P.A., Young, R.A., et al. (2018). Enhancer features that drive formation of transcriptional condensates. bioRxiv 495606. DOI: https://doi.org/10.1101/495606 [DOI] [PMC free article] [PubMed]
  71. Skirkanich J., Luxardi G., Yang J., Kodjabachian L., Klein P.S. An essential role for transcription before the MBT in Xenopus laevis. Dev. Biol. 2011;357:478–491. doi: 10.1016/j.ydbio.2011.06.010. [DOI] [PMC free article] [PubMed] [Google Scholar]; Skirkanich, J., Luxardi, G., Yang, J., Kodjabachian, L., and Klein, P.S.. (2011). An essential role for transcription before the MBT in Xenopus laevis. Dev. Biol. 357, 478-491. [DOI] [PMC free article] [PubMed]
  72. Stack J.H., Newport J.W. Developmentally regulated activation of apoptosis early in Xenopus gastrulation results in cyclin A degradation during interphase of the cell cycle. Development. 1997;124:3185–3195. doi: 10.1242/dev.124.16.3185. [DOI] [PubMed] [Google Scholar]; Stack, J.H., and Newport, J.W.. (1997). Developmentally regulated activation of apoptosis early in Xenopus gastrulation results in cyclin A degradation during interphase of the cell cycle. Development 124, 3185-3195. [DOI] [PubMed]
  73. Takahashi S., Onuma Y., Yokota C., Westmoreland J.J., Asashima M., Wright C.V.E. Nodal-related gene Xnr5 is amplified in the Xenopus genome. Genesis. 2006;44:309–321. doi: 10.1002/dvg.20217. [DOI] [PubMed] [Google Scholar]; Takahashi, S., Onuma, Y., Yokota, C., Westmoreland, J.J., Asashima, M., and Wright, C.V.E.. (2006). Nodal-related gene Xnr5 is amplified in the Xenopus genome. Genesis 44, 309-321. [DOI] [PubMed]
  74. Tan M.H., Au K.F., Yablonovitch A.L., Wills A.E., Chuang J., Baker J.C., Wong W.H., Li J.B. RNA sequencing reveals a diverse and dynamic repertoire of the Xenopus tropicalis transcriptome over development. Genome Res. 2013;23:201–216. doi: 10.1101/gr.141424.112. [DOI] [PMC free article] [PubMed] [Google Scholar]; Tan, M.H., Au, K.F., Yablonovitch, A.L., Wills, A.E., Chuang, J., Baker, J.C., Wong, W.H., and Li, J.B.. (2013). RNA sequencing reveals a diverse and dynamic repertoire of the Xenopus tropicalis transcriptome over development. Genome Res. 23, 201-216. [DOI] [PMC free article] [PubMed]
  75. Tani S., Kusakabe R., Naruse K., Sakamoto H., Inoue K. Genomic organization and embryonic expression of miR-430 in medaka (Oryzias latipes): insights into the post-transcriptional gene regulation in early development. Gene. 2010;449:41–49. doi: 10.1016/j.gene.2009.09.005. [DOI] [PubMed] [Google Scholar]; Tani, S., Kusakabe, R., Naruse, K., Sakamoto, H., and Inoue, K.. (2010). Genomic organization and embryonic expression of miR-430 in medaka (Oryzias latipes): insights into the post-transcriptional gene regulation in early development. Gene 449, 41-49. [DOI] [PubMed]
  76. Tao Q., Yokota C., Puck H., Kofron M., Birsoy B., Yan D., Asashima M., Wylie C.C., Lin X., Heasman J. Maternal wnt11 activates the canonical wnt signaling pathway required for axis formation in Xenopus embryos. Cell. 2005;120:857–871. doi: 10.1016/j.cell.2005.01.013. [DOI] [PubMed] [Google Scholar]; Tao, Q., Yokota, C., Puck, H., Kofron, M., Birsoy, B., Yan, D., Asashima, M., Wylie, C.C., Lin, X., and Heasman, J.. (2005). Maternal wnt11 activates the canonical wnt signaling pathway required for axis formation in Xenopus embryos. Cell 120, 857-871. [DOI] [PubMed]
  77. Vassena R., Boué S., González-Roca E., Aran B., Auer H., Veiga A., Izpisúa Belmonte J.C. Waves of early transcriptional activation and pluripotency program initiation during human preimplantation development. Development. 2011;138:3699–3709. doi: 10.1242/dev.064741. [DOI] [PMC free article] [PubMed] [Google Scholar]; Vassena, R., Boue, S., Gonzalez-Roca, E., Aran, B., Auer, H., Veiga, A., and Izpisua Belmonte, J.C.. (2011). Waves of early transcriptional activation and pluripotency program initiation during human preimplantation development. Development 138, 3699-3709. [DOI] [PMC free article] [PubMed]
  78. Whyte W.A., Orlando D.A., Hnisz D., Abraham B.J., Lin C.Y., Kagey M.H., Rahl P.B., Lee T.I., Young R.A. Master transcription factors and mediator establish super-enhancers at key cell identity genes. Cell. 2013;153:307–319. doi: 10.1016/j.cell.2013.03.035. [DOI] [PMC free article] [PubMed] [Google Scholar]; Whyte, W.A., Orlando, D.A., Hnisz, D., Abraham, B.J., Lin, C.Y., Kagey, M.H., Rahl, P.B., Lee, T.I., and Young, R.A.. (2013). Master transcription factors and mediator establish super-enhancers at key cell identity genes. Cell 153, 307-319. [DOI] [PMC free article] [PubMed]
  79. Wu J., Huang B., Chen H., Yin Q., Liu Y., Xiang Y., Zhang B., Liu B., Wang Q., Xia W. The landscape of accessible chromatin in mammalian preimplantation embryos. Nature. 2016;534:652–657. doi: 10.1038/nature18606. [DOI] [PubMed] [Google Scholar]; Wu, J., Huang, B., Chen, H., Yin, Q., Liu, Y., Xiang, Y., Zhang, B., Liu, B., Wang, Q., Xia, W., et al. (2016). The landscape of accessible chromatin in mammalian preimplantation embryos. Nature 534, 652-657. [DOI] [PubMed]
  80. Yanai I., Peshkin L., Jorgensen P., Kirschner M.W. Mapping gene expression in two Xenopus species: evolutionary constraints and developmental flexibility. Dev. Cell. 2011;20:483–496. doi: 10.1016/j.devcel.2011.03.015. [DOI] [PMC free article] [PubMed] [Google Scholar]; Yanai, I., Peshkin, L., Jorgensen, P., and Kirschner, M.W.. (2011). Mapping gene expression in two Xenopus species: evolutionary constraints and developmental flexibility. Dev. Cell 20, 483-496. [DOI] [PMC free article] [PubMed]
  81. Yang J., Tan C., Darken R.S., Wilson P.A., Klein P.S. Beta-catenin/Tcf-regulated transcription prior to the midblastula transition. Development. 2002;129:5743–5752. doi: 10.1242/dev.00150. [DOI] [PubMed] [Google Scholar]; Yang, J., Tan, C., Darken, R.S., Wilson, P.A., and Klein, P.S.. (2002). Beta-catenin/Tcf-regulated transcription prior to the midblastula transition. Development 129, 5743-5752. [DOI] [PubMed]
  82. Young J.J., Kjolby R.A.S., Wu G., Wong D., Hsu S.-W., Harland R.M. Noggin is required for first pharyngeal arch differentiation in the frog Xenopus tropicalis. Dev. Biol. 2017;426:245–254. doi: 10.1016/j.ydbio.2016.06.034. [DOI] [PMC free article] [PubMed] [Google Scholar]; Young, J.J., Kjolby, R.A.S., Wu, G., Wong, D., Hsu, S.-W., and Harland, R.M.. (2017). Noggin is required for first pharyngeal arch differentiation in the frog Xenopus tropicalis. Dev. Biol. 426, 245-254. [DOI] [PMC free article] [PubMed]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Video S1. Quadruple LOF of Zygotic T-box TFs, Related to Figure 2

Simultaneous filming of the vegetal (top row) and animal (bottom row) hemisphere of 4x zT LOF (labeled as T-box KD in the video) (left) and control (right) embryos from early gastrula to mid-tail bud stage.

Download video file (4.9MB, mp4)
Document S1. Transparent Methods, Figures S1–S3, and Table S1
mmc1.pdf (6.4MB, pdf)
Table S2. Temporal Progression of ZGA, Related to Figure 1

Activated genes are listed according to the earliest developmental stage of full-length RNAPII occupancy. The lists also include the overall enrichment of RNAPII across the gene body, the maternal contribution (TPM) (Owens et al., 2016), and the enrichment of de novo synthesized transcripts determined by 4sU tagging at the MBT and the early gastrula stage.

mmc2.xlsx (1.3MB, xlsx)
Table S3. Differential ZGA Analysis, Related to Figures 2, 3, and 4

Differential expression analysis of genes showing ≥50% (FDR ≤10%) reduced transcript levels in α-amanitin-injected embryos. Normalized transcript levels (inferred from exon or intron counts) are scaled (percentage, %) to the expression level in control embryos. The list also includes FDRs, expression ratios across the animal-vegetal or dorsoventral axis (Blitz et al., 2017), the earliest developmental stage of full-length RNAPII occupancy, and average expression levels between 0 and 1 hpf (maternal) and 5 and 9 hpf (from the MBT to the mid-gastrula stage).

mmc3.xlsx (1.2MB, xlsx)

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