Significance
While aging affects most living organisms, the hydrozoan Turritopsis dohrnii is the only species able to rejuvenate repeatedly after sexual reproduction, becoming biologically immortal. Setting the whole-genome of this metazoan is indispensable to study in depth mechanisms responsible for its immortal phenotype. Here, we report the genome assembly of T. dohrnii and its congeneric species Turritopsis rubra, incapable of rejuvenating at mature stages. Further, we compare a set of almost 1,000 genes related to aging and DNA repair between both Turritopsis and other cnidarians and present a stage-specific transcriptome of life cycle reversal process of T. dohrnii. Altogether, these results unveil key molecular mechanisms behind rejuvenation of T. dohrnii.
Keywords: aging, reprogramming, polycomb, pluripotency, Turritopsis
Abstract
Turritopsis dohrnii is the only metazoan able to rejuvenate repeatedly after its medusae reproduce, hinting at biological immortality and challenging our understanding of aging. We present and compare whole-genome assemblies of T. dohrnii and the nonimmortal Turritopsis rubra using automatic and manual annotations, together with the transcriptome of life cycle reversal (LCR) process of T. dohrnii. We have identified variants and expansions of genes associated with replication, DNA repair, telomere maintenance, redox environment, stem cell population, and intercellular communication. Moreover, we have found silencing of polycomb repressive complex 2 targets and activation of pluripotency targets during LCR, which points to these transcription factors as pluripotency inducers in T. dohrnii. Accordingly, we propose these factors as key elements in the ability of T. dohrnii to undergo rejuvenation.
Natural selection declines with age and particularly affects genes that are important in prereproductive phenotypes, regardless of their postreproductive effects. Thus, variants that are damaging only late in life are not readily eliminated from the gene pool (1). Consequently, aging has evolved over time through modulation of traits related to the hallmarks of health (2) or to the determinants of aging, such as cellular senescence or genomic instability, which impair pluripotency and regeneration potentials (3). Several cnidarian species have challenged some of these traits and stand out for their singular developmental plasticity and even ontogeny reversals, while still sharing genomic structural features and pivotal genes with bilaterians (4–6).
Ontogeny reversal occurs in some cnidarian species (7, 8), but this ability is usually lost once individuals reach sexual maturity. Only three species within the genera Turritopsis have been reported to rejuvenate after reproduction: Turritopsis dohrnii, Turritopsis sp.5, and Turritopsis sp.2 (9). However, while the latter two sharply drop their reversal capacity after reaching maturity, T. dohrnii is the only one that maintains its high rejuvenation potential (up to 100%) in postreproductive stages, reaching biological immortality (10, 11).
In this study, we have sequenced the genomes of T. dohrnii and T. rubra, a closely related species without reported evidence of postreproductive rejuvenation (9) (Fig. 1), and used comparative genomic analyses to identify differential gene variants and amplifications between both species, as well as between them and the cnidarians Hydra vulgaris, Clytia hemisphaerica, and Aurelia aurita. The supervised and unsupervised comparison of genes involved in aging and DNA repair, together with the transcriptome analysis of life cycle reversal (LCR) of T. dohrnii have provided new insights into the molecular mechanisms underlying Turritopsis plasticity, which may contribute to the immortal phenotype of T. dohrnii.
Results and Discussion
The genomes of both species of Turritopsis were sequenced using the Illumina platform (SI Appendix, section 2.2) and assembled into a genome with an estimated size of 390 megabases (Mb) in T. dohrnii, which is consistent with previous estimates (genome size = 383 ± 4.84 Mb) (12), and 210 Mb in T. rubra. The assemblies of T. dohrnii and T. rubra contain 74,829 and 9,508 scaffolds, respectively, with N50 values of 10,419 and 71,856 kb. The quality of both assemblies, measured with Benchmarking sets of Universal Single-Copy Orthologs (BUSCO), indicates coverages of 78.88% and 88.78%, respectively (SI Appendix, section 3.1 and Table S1).
Automatic annotation using MAKER predicted a set of 17,468 genes in T. dohrnii and 9,324 genes in T. rubra. This difference in number of genes among Turritopsis species is consistent with their genome sizes and, possibly, with the higher fragmentation in T. dohrnii (SI Appendix, sections 3.1 and 3.2 and Tables S1 and S2). Repetitive elements represent around half of the genome, similar to other cnidarian genomes (5, 6), and, although most of them were unclassified, long interspersed nuclear element and long terminal repeats were the most abundant retroelements (SI Appendix, Table S3). Together with automatic annotation, we used manual annotation to compare almost 1,000 genes involved in aging, DNA repair, and pathways of interest selected from a previously available LCR transcriptome of T. dohrnii (11) (SI Appendix, section 2.4 and Fig. S1 and Dataset S1). Previous whole-genome analysis projects have shown that this laborious but exhaustive annotation method is effective for the purpose of identifying gene amplifications and residue variants (13, 14). Specifically, we focused on variants affecting known motifs, truncating variants and variants related to genetic diseases in humans that were only present in one of the Turritopsis species. These variant and amplification candidates were further compared to the available genomes of 11 cnidarian species and, when still specific, they were validated with RNA-seq data, through examination of supporting genomic DNA reads, and by PCR amplification followed by Sanger sequencing (SI Appendix, sections 2.5 and 2.6). We identified 28 copy number variations and 10 variants unique for T. dohrnii or T. rubra, which were then classified into the 9 hallmarks of aging (3), depending on the affected genes (Fig. 2 and SI Appendix, section 3.3 and Fig. S3 and Tables S4–S9).
Considering their difference in genome size and number of genes, we would expect to find more amplified genes in T. dohrnii than in T. rubra. However, we found that the percentage of amplifications (genes with two or more copies) observed in T. dohrnii from our manually annotated list was 3.77 times higher than the one we obtained from a representative gene set of the whole genome in this species (a random set of 1,000 automatically annotated genes) (SI Appendix, section 3.3 and Table S10 and Fig. S4). Therefore, the differential increase in gene copies highlighted in this study is likely due to sporadic genetic events with positive selection or neutral processes rather than to a global mechanism of genomic expansion.
We were concerned that an important limitation of this work is the relative low quality of both assemblies and whether the higher number of copies found in T. dohrnii was an artifact of the greater fragmentation of its assembly. To face this limitation, we have used a very conservative and rigorous protocol during manual annotation: on the one hand, gene amplifications were only reported when two or more independent protein sequences overlapped the same sequence of the corresponding human orthologs (we considered only BLAST hits with e-value lower than 0.001). Otherwise, they were considered as parts of the same copy; on the other hand, the oligonucleotides used to perform PCR validations were carefully designed to be specific of each copy and have proved to be effective to differentiate independent gene copies (SI Appendix, Fig. S3 and Table S9). Successful PCRs (with a resulting gel band) indicated positive validation of the specific gene copy, while negative results prevented us from reaching any definitive conclusions and were consequently discarded (SI Appendix, Table S6). In that way, we were able to rule out candidate gene copies found manually that may result from fragmentation and assembly errors. Additionally, most copies were also supported by RNA-seq data, which reinforces their legitimacy (SI Appendix, Table S4).
The conclusions of this study are limited by the phylogenetic distance between T. dohrnii and T. rubra (9), as background differences unrelated to immortality are expected. Therefore, obtaining and analyzing material from a closer mortal congeneric species, such as T. nutricula, will be important to confirm and refine the interpretation of our results. It is also noteworthy that we define T. dohrnii as “immortal” because the probability of sexually mature medusae to rejuvenate goes up to 100%, with no apparent limit in the number of ontogeny reversal cycles for a given individual (10). In contrast, we consider T. rubra as “mortal” since we found no published evidence of postreproductive rejuvenation in this species (9). Following this premise, we suggest that T. dohrnii would have a set of mechanisms such as the ones found in this study that function synergically as a whole to warrant high organismal rejuvenation success even after reproduction, and that most of these mechanisms would be lacking in T. rubra.
Since genomic instability plays a major role in the regulation of aging, we analyzed a series of genes involved in DNA replication and repair. In this context, our results suggest that T. dohrnii may have more efficient replicative mechanisms and repair systems than the other cnidarians included in this study (SI Appendix, section 3.3.1). For instance, the amplifications of POLD1 (encoding DNA polymerase delta) and POLA2 (encoding DNA polymerase alpha 2) in T. dohrnii (four and two copies, respectively, compared to one in T. rubra) suggest enhanced replicative capabilities in this species. We also detected a duplication of RFC3 (replication factor C 3) in T. dohrnii and H. vulgaris, as well as four copies of TOP3B (DNA topoisomerase III beta) in T. dohrnii, in comparison to three copies in T. rubra. Regarding DNA repair, we found duplications in XRCC5 (X-ray repair cross complementing 5), GEN1 (gene endonuclease homolog 1), RAD51C (RAD51 paralog C) and MSH2 (MUTS homolog 2) in T. dohrnii compared to the presence of one copy of these genes in T. rubra. We also detected two variants in highly conserved positions of LMNA (lamin A/C), p.G523A in T. dohrnrii and p.E82Q in T. rubra (SI Appendix, section 3.3.8 and Table S5 and Fig. S5). The copies of most of the abovementioned genes (except GEN1 and one copy of POLD1 and TOP3B) were transcriptionally active during LCR of T. dohrnii, which reinforces our hypothesis that more efficient replication and repair systems could underlie rejuvenation in this species (SI Appendix, Fig. S5).
Oxidative stress resulting from reactive oxygen species can also alter cellular homeostasis and cause internal damage, such as increased genomic instability. In this regard, we found several changes in T. dohrnii and T. rubra potentially affecting the molecular mechanisms that regulate the response to oxidative stress, such as the presence of five copies of TXN (thioredoxin) in T. dohrnii, as opposed to two in T. rubra (SI Appendix, section 3.3.5). Likewise, the glutathione reductase GSR appears to be duplicated in T. dohrnii, but not in T. rubra nor in the rest of the cnidarians analyzed in this work (SI Appendix, Table S4). Notably, we found that these genes were activated in T. dohrnii LCR (SI Appendix, Fig. S5) and previous studies have shown that their overexpression in Drosophila melanogaster resulted in an extension of their lifespan (15). In all, it is expected that genome stability and an appropriate redox status in cells from T. dohrnii are properly maintained. The expansion of these genes may confer this species protection against the accumulation of DNA damage due to both endogenous and exogenous factors.
Whereas the cnidarian telomeric sequence is shared with vertebrates (16), we found several variations in the telomerase and shelterin complexes in T. dohrnii in comparison to T. rubra and other cnidarians. These changes may contribute to a reduced telomere attrition and as a consequence to an enhanced cellular plasticity (SI Appendix, section 3.3.2). First, we found two copies of GAR1 (ribonucleoprotein homolog) in the genome of T. dohrnii, while other cnidarians only have one copy of this gene. This result may indicate that telomerase activity could be enhanced or more finely regulated in this species. Regarding the shelterin complex, we found two different rare variants at the same position in POT1, p.G272N in T. dohrnii and p.G272R in T. rubra (SI Appendix, Table S5). This residue is highly conserved in metazoans, but a similar variant was found in Chrysaora quinquecirrha (Fig. 3), which suggests a case of parallel evolution (17).
To examine the functional impact of substitutions at these positions in POT1, we studied binding of recombinant human, T. rubra and T. dohrnii proteins to oligonucleotide probes containing three telomere-like repeats; the three variants were analyzed in each protein (G272, G272N, and G272R in humans and their equivalent positions in Turritopsis POT1) (Fig. 3). Wild-type POT1 presented the strongest affinity to the probes among human proteins, while binding decreased in the p.G272R mutant and was very weak in the p.G272N variant (Fig. 3F). These results confirm the functional relevance of residue at position 272 of POT1 in humans, which is consistent with the occurrence of several cancer-related variants and mutations in this residue (ClinVar IDs RCV001027221.1 and RCV000817038.3) (18). Importantly, T. dohrnii variant p.G272N dramatically reduced human POT1 binding to probes, suggesting an impact in its telomere-binding ability and, thus, in telomere maintenance. Given that POT1 binding to telomeres is necessary to achieve telomerase inhibition (19), the reduced affinity to DNA shown by both POT1 mutants may decrease this inhibitory effect. Notably, other variants affecting POT1, such as p.H266L or p.S322L, also decrease the ability of the protein to bind telomeres, which leads to telomere elongation (20). In Turritopsis, we did not observe the same binding differences as in humans, which could indicate that these residue modifications coevolved with other amino acid changes, thus generating epistatic modifications in POT1 (Fig. 3F). Interestingly, there is an apparent increase in affinity for T. rubra variants when compared with their wild-type counterpart. On the contrary, no telomere binding could be detected for any of the T. dohrnii proteins in the tested conditions. Therefore, the binding differences observed among Turritopsis might be more related to wider structural variations than just the abovementioned single residue changes (Fig. 3 D and E). Overall, our results hint toward a relevant role for maintenance of telomeres in rejuvenation of T. dohrnii. The linkage of telomeres and telomerase function with stem cell maintenance, DNA repair and aging (3) suggests that the telomere-related changes observed in T. dohrnii may be partially responsible for the enhanced cellular plasticity in this species.
Apart from telomere shortening and DNA damage, cellular senescence can also result from the deregulation of cell cycle (SI Appendix, section 3.3.6). In this regard, we found two exclusive variants of T. dohrnii in highly conserved residues of the serine/threonine kinase ataxia-telangiectasia mutated (ATM, p.P2553Y, and p.H2555Q, SI Appendix, Table S5 and Fig. S8). Both residues are located at the active site of this kinase whose activity leads to cell cycle arrest and induction of DNA repair. Furthermore, we also detected the presence of variants p.Q1362R and p.Q1362H in T. dohrnii and T. rubra, respectively, in a highly conserved residue of the ubiquitin ligase HECW2, which regulates the metaphase-to-anaphase transition during cell cycle and modulates the activity of p73 (SI Appendix, section 3.3.6 and Table S5 and Fig. S9).
Stem cell senescence and exhaustion can severely diminish the regenerative potential of tissues, which in turn contributes to organismal aging (3). In cnidarians, most genes related to pluripotency in vertebrates are missing, although some homologous genes may take over their function (21, 22). Using both automatic and manual annotation, we compared a set of relevant reprogramming genes and genes associated with differentiation pathways such as FOXO, HOX, WNT, JAK-STAT, and Hedgehog in cnidarians (SI Appendix, section 3.3.7 and Table S12). In this context, we found in T. dohrnii a duplication of GLI3 (GLI family zinc finger 3), a gene encoding a transcription factor involved in Sonic hedgehog signaling. In contrast, T. rubra only exhibits a single GLI3 copy, and this gene was absent in H. vulgaris, C. hemisphaerica, and A. aurita. In addition, all copies of GLI3 were transcriptionally active during LCR of T. dohrnii (SI Appendix, Table S4 and Fig. S5). Altogether, these results suggest some improvement in the molecular mechanisms and pathways related to stem cell function in T. dohrnii compared to T. rubra.
Pathways related to intercellular communication, such as those regulating apoptosis, are particularly relevant during head regeneration of H. vulgaris (23, 24). Consistent with this, apoptosis has been reported in tissues from T. dohrnii during LCR (25). In this regard, we found gene amplifications associated with the neural system and apoptosis such as a duplication in PSEN1 (presenilin 1) in T. dohrnii compared to a single copy in T. rubra, as well as a notable expansion of BMP7 (bone morphogenetic protein 7), a gene with pleiotropic effects in modulation of apoptosis (26, 27). BMP7 had eight copies in T. dohrnii (five of them found to be active during LCR), in contrast to five copies in T. rubra and three copies in H. vulgaris (SI Appendix, Table S4). Interestingly, although none of the other genes related to apoptosis showed differential amplifications in T. dohrnii (SI Appendix, Table S13), we did find a clear overexpression of one copy of CASP3 (caspase 3), BCL2 (B-cell lymphoma 2), and BAX (Bcl2-associated X) during LCR (from postincubation to late stolon) (SI Appendix, Fig. S5). Finally, we detected gene amplifications that could impact microtubule regulation, which in turn could enhance neuronal function and cell plasticity (28). Specifically, T. dohrnii showed duplications of TUBG1 (tubulin gamma 1), CLASP1 (cytoplasmic linker associated protein 1), and SPAST (spastin) (all transcriptionally active during LCR), compared to T. rubra and the rest of cnidarian species analyzed in this work (SI Appendix, Table S4).
Proper regulation of transcriptional patterns and epigenetic modifications is also essential for the maintenance of an appropriate cellular function. Through detailed analysis of genes involved in transcriptional and posttranscriptional regulation, we detected copy number variations affecting genes such as MORC3 (microrchidia 3), that can act as a chromatin-binding modulator (29), with four copies in T. dohrnii, while other cnidarians have at most three copies of this gene (SI Appendix, section 3.3.3 and Table S4). Deficient transcriptional regulation can also lead to loss of proteostasis, another major hallmark of aging (3). In this context, we found the presence of the variant p.V518I in the calcium binding site of TPP1 (tripeptidyl peptidase 1) in T. dohrnii (SI Appendix, section 3.3.4 and Table S5 and Fig. S7). Notably, deficiencies in this peptidase cause neuronal ceroid lipofuscinosis (30).
As a whole, functionality of genes highlighted in this genome comparison is supported by expression analysis during LCR of T. dohrnii (SI Appendix, Fig. S5). Most differential genes involved in maintaining genome stability (POLD1, POLA2, XRCC5, and MSH2) and those related to telomere maintenance (POT1, GAR1) were underexpressed from reduction phase to late stolon, from which they increased the expression, suggesting that replicative and postreplicative repair systems and telomere maintenance activities could follow the same pattern. Genes aimed at keeping redox environment were overexpressed at different stages (TXN from incubation to early stolon and GSR from late stolon to mature polyp), whereas those associated with cell senescence (RACGAP1 and SPICE1), that regulate different phases of the cell cycle, were underexpressed from cyst to polyp formation. In contrast, HECW2 was overexpressed throughout the process, suggesting that this ubiquitin ligase could be regulating p73 activity rather than metaphase/anaphase transition. GLI3, associated with stem cell maintenance and differentiation, was activated from reduction phase to mature polyp, and PSEN1 could strengthen cellular communication during the first period of LCR (from incubation to cyst), likely improving organismal regulation.
After the detailed gene annotation of Turritopsis genomes and the expression analysis of specific genes highlighted after genomic comparisons between T. dohrnii and T. rubra, we examined the LCR transcriptome of T. dohrnii to address whether cell reprogramming takes place and, if so, which molecular pathways are implicated. Gene set enrichment analysis (GSEA) highlighted pathways related to polycomb repression complex 2 (PRC2) targets and pluripotency related genes (Fig. 4 and SI Appendix, Table S15), both necessary for promoting dedifferentiation (31). Firstly, PRC2 catalyzes trimethylation of histone 3 Lys-27 (H3K27), silencing a specific set of genes involved in development, which is necessary for enhancing and maintaining pluripotency in embryonic stem cells (32). The underexpression of this gene set, previously undescribed in jellyfish, was especially notorious during the cyst stage (Fig. 4 and SI Appendix, section 3.4.2 and Fig. S10). Interestingly, we did not find any clear overexpression of PRC2 components or its associated proteins, in contrast with studies of transdifferentiation in Podocoryne carnea and in H. vulgaris (33, 34). These results suggest that PRC2 regulation in T. dohrnii could be occurring at the protein level. Secondly, in the gene set associated with pluripotency that was differentially expressed in the cyst and early stolon stages, most of the overexpressed genes were related to protein homeostasis, but also involved in oxidative stress resistance, DNA replication, DNA repair, and apoptosis (SI Appendix, section 3.4.3 and Fig. S11). We found that only SOX7 (SRY-box transcription factor 7), SOX14 (SRY-box transcription factor 14) and two copies of MYC (Myc proto-oncogene protein) exhibit a differential pattern during LCR of T. dohnrii. Sox7 has not been previously related to pluripotency in cnidarians, but it has been reported that this transcription factor can gain reprogramming activity when a single amino acid residue of its structure is modified in mouse fibroblasts (35). Moreover, one of the SOX14 (SOX14_1) copies was clearly underexpressed during the same stages as SOX7, which could affect cell commitment from cyst to late stolon since expression of SOX14 has been associated with cell differentiation in C. hemisphaerica (35). Finally, MYC_1 was overexpressed from incubation to reduction stage and MYC_2 from cyst to mature polyp (Fig. 4). Therefore, both MYC-like genes may exhibit nonredundant functions during LCR as described in H. vulgaris, where MYC1 is associated with cell cycle and ribosome biogenesis and MYC2 with activation of gamete production in epithelial interstitial stem cells (22, 36).
In summary, the draft genomes of the immortal T. dohrnii and its mortal congeneric species, T. rubra, highlight candidate genes and pathways related to genomic instability, telomere attrition, mitochondrial dysfunction, stem cell exhaustion, cellular senescence, and intercellular communication. Specifically, our results suggest that gene amplification and point variants unique of T. dohrnii could affect its replicative efficiency, as well as DNA repair and telomere maintenance activity, which may be pivotal processes for cell rejuvenation and proliferation. In addition, expansions and sequence variations of genes associated with DNA repair, mitochondrial dysfunction and intercellular communication could increase its capacity to maintain redox environment and reduce cellular damage during stress events. Furthermore, regulation of cellular senescence in terms of cell cycle control could strengthen plasticity and regeneration capacities in both Turritopsis species. Finally, we have found that two of the main mechanisms for cell reprogramming, silencing of PRC2 targets and activation of pluripotency targets, are involved in T. dohrnii LCR, which leads us to propose these factors as suitable candidates to mediate the activation of pluripotency signaling. Altogether, this work provides insights into the molecular mechanisms giving T. dohrnii the remarkable capacity to rejuvenate and escape death.
Materials and Methods
Genome Sequencing and Assembly.
We obtained DNA of T. dohrnii from specimens collected in Santa Caterina, Lecce, Italy, and of T. rubra from the north of Hokkaido Island, Japan (through Blue Corner Inc.), using a standard phenol-chloroform extraction protocol. Samples from both Turritopsis species were sequenced and assembled through Macrogen commercial services, using Illumina platform, from a 150 bp pair-end library (Truseq DNA PCR-free, 350 bp), and Platanus-allee (v2.2.2) (37) and Platanus (v1.2.4) (38) for T. dohrnii and T. rubra, respectively, considering the differences in heterozygosity found among these species. Total RNA was extracted from T. dohrnii using TRIzol reagent (Invitrogen), retrotranscribed to cDNA with the SMARTer Ultra Low Input RNA Kit, used to construct a 150 bp pair-end library and sequenced by Novogene Co., Ltd. Total RNA in T. rubra was extracted with a combination of TRIzol reagent and RNAeasy Mini Kit columns (Qiagen), and sequenced by Macrogen commercial services. These RNA-seq reads were used for automatic annotation, validation of gene variants and for further transcriptomic analysis of LCR of T. dohrnii (SI Appendix, sections 2.1 and 2.2).
Genome Annotation.
Using the genome assembly and RNA-seq data of T. dohrnii, together with curated protein sequences from human, freshwater hydra, Aurelia and other Cnidaria, we performed de novo annotation with MAKER (39) with three successive runs in a Microsoft Azure virtual machine. In parallel, we used selected genes from the human protein database in Ensembl as a reference to manually predict the corresponding homologs in the genomes of Turritopsis species by using the BATI algorithm (Blast, Annotate, Tune, Iterate) (40). This algorithm allows users to annotate the position and intron/exon boundaries of Tblastn results, retrieving more accurate results. This procedure also facilitates the detection of novel homologs.
POT1 In vitro Translation and Telomeric G-Strand Binding Assay.
Codon-optimized wild-types of human, T. dohrnii, and T. rubra POT1, and their respective modified forms (with a Gly, Asn, or Arg residues) were generated using gene synthesis by GenScript and cloned as C-ter-FLAG tagged proteins in a pCDNA3.1 expression vector. These vectors were used for protein production by in vitro translation using the TNT coupled reticulocyte lysate kit (Promega) following manufacturer’s instructions. In brief, 25 μL reaction mixtures containing 0.5 μg of plasmid DNA and 24 μL of rabbit reticulocyte translation reaction mix were incubated at 30 °C for 90 min. Five microliter fractions of each reaction were used to assess protein translation by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) followed by immunoblotting with a rabbit anti-DYKDDDDK Tag Antibody (Cell Signaling). DNA binding assays were performed in 20 μL reaction mixtures, by incubating 15 μL of each respective translation reaction product (and 5 μL only in case of human POT1 wild-type) with 2 μL of 100 nM of a fluorescently labeled telomeric oligonucleotide (IR800-GGTTAGGGTTAGGGTTAGGGTTAGGGTTAGGG) and 1 μg of the nonspecific competitor DNA poly [dI-dC] in binding buffer (25 mM Hepes-NaOH, pH 7.5, 100 mM NaCl, 1 mM ethylenediaminetetraacetic acid (EDTA), and 5% glycerol). After 30 min of incubation at room temperature, protein-DNA complexes were analyzed by electrophoresis on a 6% polyacrylamide Tris-borate EDTA gel, which was run at 160 V for 4 h. Gels were further visualized using an Odyssey Infrared Imaging System (Li-Cor Biosciences).
Alphafold Protein Structure Prediction.
Structural prediction of POT1 in T. dohrnii and T. rubra was performed, alongside with its wild-type human ortholog POT1 and its variants (G272R and G272N), by using the AlphaFold v.2.1.2 pipeline (https://github.com/deepmind/alphafold/). We performed the pipeline with the monomer preset and full databases, and then used the structure with the highest confidence score (pLDDT) for later analysis. Structure with the highest confidence score was tuned until final protein structure using ChimeraX (41) and information from previous studies of POT1 structure (42, 43).
LCR Experiment and RNAseq Analyses.
Ontogeny reversal of T. dohrnii was triggered by incubating 1-d starved medusae in 116 mM CsCl for 5 h. Several samples were taken individually in each stage of the process (medusa, incubation, postincubation, reduction phase, cyst, early stolon formation, late stolon, bud formation, early polyp, and polyp) and were frozen immediately until RNA extraction. STAR (44) was used for aligning RNA sequences of each sample to the assembled T. dohrnii genome and edgeR (45) and limma (46) for modeling differential expression between stages, after applying voom (47) transformation to consider library size variability. GSEA was performed with the fgsea (48) package, after adapting the human Molecular Signatures Database (MSigDB) (49) to the genome of T. dohrnii. Libraries with less than two million reads and low-expression genes were excluded from the analysis. Differentially expressed genes and enriched pathways were identified based on a false-discovery rate adjusted P value of 0.05.
Supplementary Material
Acknowledgments
We thank Susana Acle and Bioparc Acuario de Gijón for their support and suggestions in aquaria maintenance, and all members of the Medusas’s group (ICM-CSIC) for their help in setting up the first jellyfish cultures. We also thank Cetarea El Musel, Servicio de Patrimonio (Universidad de Oviedo) and Neoalgae (especially to David Suárez) for facilitating the sea water supply for jellyfish maintenance and experiments. Particular thanks also to Xose S. Puente, José M. P. Freije, Alicia R. Folgueras and Alejandro P. Ugalde for their helpful advice and comments, and Tomàs Marquès-Bonet, Lukas F.K. Kuderna and Aitor Serres-Armero for their expert recommendations in genome assembly. This work was supported by European Research Council (DeAge, ERC Advanced Grant, 742067) and the Ministerio de Ciencia e Innovación-FEDER (SAF2017-87655-R; PID2020-118394RB-I00; RTI2018-096859-B-I00). This work was also a contribution of the Observatorio Marino de Asturias.
Footnotes
The authors declare no competing interest.
This article is a PNAS Direct Submission. V.G. is a guest editor invited by the Editorial Board.
This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.2118763119/-/DCSupplemental.
Data, Materials, and Software Availability
Sequencing data have been deposited at the Sequence Read Archive (SRA, https://www.ncbi.nlm.nih.gov/sra), and the MAKER2 predicted protein sequences can be downloaded from https://github.com/vqf/turritopsis (50). Assemblies are hosted by the National Center for Biotechnology Information (NCBI, https://www.ncbi.nlm.nih.gov/), under accession number (JAIFHF000000000 for T. dohrnii and JAHXJM000000000 for T. rubra) for SRA sequences, and BioProject PRJNA734867 (51) for GenBank submissions.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Sequencing data have been deposited at the Sequence Read Archive (SRA, https://www.ncbi.nlm.nih.gov/sra), and the MAKER2 predicted protein sequences can be downloaded from https://github.com/vqf/turritopsis (50). Assemblies are hosted by the National Center for Biotechnology Information (NCBI, https://www.ncbi.nlm.nih.gov/), under accession number (JAIFHF000000000 for T. dohrnii and JAHXJM000000000 for T. rubra) for SRA sequences, and BioProject PRJNA734867 (51) for GenBank submissions.