Trichoplax adhaerens is the simplest multicellular animal with tissue differentiation and somatic cell turnover. Like all other multicellular organisms, it should be vulnerable to cancer, yet there have been no reports of cancer in T. adhaerens or any other placozoan. We investigated the cancer resistance of T. adhaerens, discovering that they are able to tolerate high levels of radiation damage (218.6 Gy). To investigate how T. adhaerens survive levels of radiation that are lethal to other animals, we examined gene expression after the X-ray exposure, finding overexpression of genes involved in DNA repair and apoptosis including the MDM2 gene. We also discovered that T. adhaerens extrudes clusters of inviable cells after X-ray exposure. T. adhaerens is a valuable model organism for studying the molecular, genetic, and tissue-level mechanisms underlying cancer suppression.
Citation: Fortunato A, Fleming A, Aktipis A, Maley CC (2021) Upregulation of DNA repair genes and cell extrusion underpin the remarkable radiation resistance of Trichoplax adhaerens. PLoS Biol 19(11): e3001471. https://doi.org/10.1371/journal.pbio.3001471
Academic Editor: Sui Huang, Institute for Systems Biology, UNITED STATES
Received: January 26, 2021; Accepted: November 5, 2021; Published: November 17, 2021
Copyright: © 2021 Fortunato et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files. The raw sequences and FCS files are available in the public databases. BioProject number: PRJNA769463, FlowRepository ID: FR-FCM-Z4ME.
Funding: This work was supported in part by the Arizona Cancer and Evolution Center, National Institutes of Health U54 CA217376 (C.C.M), Extension to the HTAN Pre-Cancer Atlas Project, National Institutes of Health U2C CA233254 (C.C.M), Biostatistics and Evolutionary Analysis, National Institutes of Health P01 CA91955 (C.C.M), Application of Evolutionary Principles to Maintain Cancer Control, National Institutes of Health R01 CA170595 (C.C.M), Genomic Diversity and Microenvironment as Drivers of Metastasis in DCIS, National Institutes of Health R01 CA185138 (C.C.M), Modeling Neoplastic Progression in Barrett's Esophagus, National Institutes of Health, R01 CA140657 (C.C.M), Genomic Diversity and the Microenvironment as Drivers of Progression in DCIS, Department of Defense, Congressionally Directed Medical Research BC132057 (C.C.M), The Arizona Biomedical Research Commission ADHS18-198847 (C.C.M) and Arizona Cancer and Evolution pilot grant (A.F.). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Abbreviations: ASW, artificial seawater; FDR, false discovery rate; TPM, transcripts per million; WGS, whole genome sequencing
Theoretically, cancer is a disease that can affect all multicellular organisms, and cancer-like phenomena have been observed in all 7 branches of the tree of life that independently evolved complex multicellarity . Generally speaking, somatic cells must limit their own proliferation in order for the organism to survive and effectively reproduce. Over the course of 2 billion years, multicellular organisms have evolved many mechanisms to suppress cancer, including control of cell proliferation. Complex multicellularity has evolved independently at least 7 times, and there is evidence of cancer-like phenomena on each of those 7 branches on the tree of life . Although virtually every cell in a multicellular body has the potential to generate a cancer, and that risk accumulates over time, there is generally no association between body size or life span and cancer risk, an observation known as Peto’s Paradox [2–5]. This is likely because there has been selective pressure on large, long-lived organisms to evolve better mechanisms to prevent cancer than small, short-lived organisms . This implies that nature has discovered a diversity of cancer suppression mechanisms, which we have only begun to explore for their applications to cancer prevention and treatment in humans [7,8].
We used Trichoplax adhaerens (Placozoa) as our model organism for the present study. T. adhaerens is the simplest multicellular animal organism ever described (Fig 1A and 1B). They are also ancient evolutionarily speaking, having diverged from other animals approximately 800 million years ago . T. adhaerens is a disk-shaped, free-living marine organism, 2 to 3 mm wide and approximately 15 μm high. It is composed of only 5 somatic cell types, organized into 3 layers. T. adhaerens lack nervous and muscle tissues as well as a digestive system and specialized immune cells. They glide using the cilia of the lower epithelial layer. T. adhaerens feed on diatom algae by external digestion. In the laboratory, they reproduce only asexually through fission or budding [10–13], and they feed cooperatively . It is possible to experimentally induce sexual reproduction in the lab, but the embryos do not complete development . It is unknown if T. adhaerens reproduce sexually in the wild. T. adhaerens can detach from the plate surface when food is depleted and float on the water’s surface. T. adhaerens can be collected from the natural world by placing slides in the water column where they are presumably floating [15,16], suggesting that floating is part of the normal behavioral repertoire of T. adhaerens.
(A) Untreated specimens of T. adhaerens, the animal on the right is folding. (B) Magnification of a single untreated T. adhaerens. (C) Sections of the animals can become elongated (arrows), 20 days after 218.6 Gy exposure. (D) Dark tissue mass (asterisk) in the middle of what is either a small animal or extrusion, 70 days after 143.6 Gy exposure. (E) Dark tissue mass projecting from the dorsal epithelium (arrow) of a T. adhaerens, 82 days after 143.6 Gy exposure. (F) A folded T. adhaerens that is not moving, 36 days after 80 Gy exposure; this animal eventually recovered.
Other invertebrates, such as Caenorhabditis elegans and Drosophila melanogaster, have been useful in molecular biology and the basic sciences [17,18]. However, they are not ideal models for cancer research because they do not have sustained somatic cell turnover and so do not risk the mutations due to errors in DNA synthesis. In addition, their life spans are very short, precluding the opportunity to develop cancer. T. adhaerens, on the other hand, have somatic cell turnover and very long life spans—a single organism can reproduce asexually in the lab for decades . Even with these factors that would typically predispose organisms to cancer—cell turnover and long life span—there have been no reports of cancer in T. adhaerens, despite these organisms having been studied in the laboratory since 1969 . In addition, the genome of T. adhaerens has been sequenced , which enables us to analyze the evolution of cancer genes, detect somatic mutations, and quantify gene expression. Despite T. adhaerens’ being evolutionarily ancient, most of the known cancer genes in humans have homologs in T. adhaerens .
It is an open question whether the lack of reports of cancer in T. adhaerens is due to a lack of studies or the ability of the animal to resist cancer. We set out to answer this question through exposing T. adhaerens to radiation and observing changes in their phenotypes and gene expression. By studying cancer resistance in T. adhaerens, it is possible to gain a window into the biological processes and the molecular mechanisms of cancer suppression that likely evolved in the earliest animals.
We found that T. adhaerens are able to tolerate high levels of radiation and are resilient to DNA damage. Exposure to X-rays triggered the extrusion of clusters of cells, which subsequently died. We also found that radiation exposure induced the overexpression of genes involved in DNA repair and apoptosis.
T. adhaerens are radiation tolerant
We exposed T. adhaerens to different levels of X-ray radiation and counted the number of individuals each day over 8 days after exposure. We then counted them every day for 8 days (S1 Fig and S1 Data). T. adhaerens can tolerate 218.6 Gy maximum single-dose X-ray exposure. No T. adhaerens survived exposure to 256.5 Gy of X-rays. At 218.6 Gy, less than 5% of the T. adhaerens survived (measuring the exact percentage is challenging because T. adhaerens divide and extrude cells during the experiment, but we calculated a lethality of 83.3% after 8 days). These surviving T. adhaerens were able to repopulate the culture after 30 days of exposure to 218.6 Gy. We found a statistically significant positive correlation between the doses of radiation (0, 143.6, 181.1, 218.6, 256.5, 294.5, and 332.5 Gy) and the number of T. adhaerens, Pearson correlation, r = 0.814, P = 0.026, calculated as the average of the first 4 days before the beginning of animal death caused by radiation. All the doses, with the exception of 143.6 Gy, cause a sharp decrease in the number of animals by 8 days after the exposure (S1 Fig). We observed morphological and behavioral changes after X-ray exposure, including blisters, changes in the shape of the animals, darker cellular aggregates, and extrusion of clusters of cells (Fig 1C–1F). These morphological changes were reversible in the animals that survived. T. adhaerens that survived also appeared to fully recover.
We found that the total number of discrete T. adhaerens entities (including both parents and extruded cells) rapidly increased through budding and fission immediately after X-ray irradiation (repeated measurement ANOVA, P < 0.01, Fig 2A and S2 and S3 Data) and their size significantly decreased (repeated measurement ANOVA, P < 0.0001, Fig 2B), suggesting that the animals extrude cells or divided without physiological cell proliferation to regenerate their original size. After day 7, the total number of T. adhaerens in the treated group began to decrease (Fig 2A).
T. adhaerens were counted and measured under the microscope, and the reported values are a combination of the organisms of all sizes including extrusions. (A) Number of T. adhaerens in control (green) and X-ray-exposed experimental plates (red) before (0 hour) exposure, and then 24, 48, 72 hours, and 7 days after exposure to 143.6 Gy of X-rays. Center line = median, box limits indicate the 25th and 75th percentiles. (B) Size of T. adhaerens in T. adhaerens in control (green) and X-ray-exposed experimental plates (red) before (0 hour), after 24, 48, and 72 hours 143.6 Gy of X-ray exposure. Histograms represent the mean ± SEM. (error bars). The data used to generate this figure can be found in S2 and S3 Data.
T. adhaerens extrude clusters of cells
The extruded bodies (Fig 3) initially are flat and attached to the plate’s bottom, but before dying, they acquire a spherical shape (S2 Fig). In order to estimate the number of extrusions per animal and to monitor the morphological changes over time, we transferred a single animal per well into 24-well plates seeded with algae of both control and experimental plates immediately after X-ray exposure. A week after X-ray exposure, the dead extruded buds (65 out of 83 buds) from the experimental animals exceeded the number of dead buds (5 out of 71 buds) in the control (Fisher exact test, P < 0.00001). In addition to regular buds, we observed extruded disk-shaped or spherical microbuds (n = 16, ⌀ = 182.01 μm ± 23.40 SEM) in the experimental plates, but not in the control plates. These microbuds are only visible at higher magnification, and we did not include them in the number and size measurements of organisms presented in Fig 2.
(A) Extrusion (arrows) of brownish putative cancer-like cells; insert, magnification of the same extrusion. (B) The cancer-like cells and the normal cells detached from the main body formed a new animal. The extrusion was observed and isolated 37 days after X-ray exposure. (C) Over time, the clear, apparently normal cells of the extruded body reduce in number, leaving only the apparently damaged cells, which eventually died. This specimen was exposed to 143.6 Gy X-rays. (A) Bright field, insert; (B and C) DIC, scale bars = 50 μm. DIC, differential interference contrast.
T. adhaerens survive with extensive DNA damage
We tested the animals with a Comet assay and found a catastrophic level of DNA fragmentation soon after a submaximal (143.6 Gy) X-ray exposure (DNA fragmentation: treated = 94.46% ± 0.54 SD (n = 77 cells), controls = 13.83 ± 8.15 SD (n = 81 cells), Mann–Whitney U Test, P < 0.00001, S3 Fig). The H2AX assay confirmed DNA damage after X-ray exposure (γ-H2AX positive cells: treated = 43.70% ± 13.36 SD, controls = 21.37% ± 4.86 SD, t test, P = 0.026, S4 Fig and S4 Data).
Gene expression changes.
We extracted and sequenced RNA from 120 animals 2 hours after the maximal tolerable dose of X-rays (218.6 Gy). We focused on the overexpressed genes because X-ray exposure can generally reduce gene expression. We found 74 genes significantly overexpressed (logFC > 2, FDR < 0.05) after 2 hours from X-ray exposure (Table 1 and S1 Table). Among these, 5 genes with a human ortholog (given in parentheses) are involved in DNA double-strand break repair mechanisms: TriadG28563 (RAD52), TriadG50031 (LIG4), TriadG53902 (DCLRE1C), TriadG25695 (RECQL5), TriadG61626 (XRCC6). Other genes such as TriadG55661, TriadG51590, TriadG50243 (POLB), TriadG51591, TriadG28268 (POLL), and TriadG57566 (LIG3) are involved in different mechanisms of DNA repair. Interestingly, the TriadG28470 (EIF41B) radioresistant gene  is overexpressed after treatment. In addition, we identified up-regulated genes involved in signaling, microtubules activity, transporters, stress response, and other functions. There is marginal or no functional information for 20 of the overexpressed genes (S1 Table).
We focused on 2 genes: TP53 (TriadG64021) and MDM2 (TriadG54791), the main negative regulator of TP53, whose functions in the processes of apoptosis and oncogenesis is well known. MDM2 and TP53 genes are well conserved in T. adhaerens . RNA-seq analysis suggests that MDM2 is overexpressed (20-fold), while the expression of TP53 is similar to its expression in controls. Thus, we conducted additional experiments to investigate MDM2 and TP53 genes’ expression, exposing the animals to 218.6 Gy of X-rays. The RNA was extracted at different times after being exposed to X-rays (2, 6, 12, 24, and 48 hours). MDM2 and TP53 genes’ expression was analyzed by real-time PCR. We found that the expression of MDM2 was higher (12-fold) after 2 hours from the beginning of the experiment and decreased over time. On the other hand, the expression of TP53 was lower and indistinguishable from the controls across all time points (Mann–Whitney test, MDM2 versus control, P < 0.05; TP53 versus control, P = NS, S5 Fig and S5 Data).
DNA sequencing of T. adhaerens and extruded buds.
We sequenced the genomes of 2 independent pairs of parental X-ray-exposed animals and their extruded bodies (as well as a viable, smaller T. adhaerens derived from an asymmetric fission of the first parental X-ray-exposed animal). We found an average of 1,847.8 mutations per Mb (S2 Table). In regions of the genome where both X-ray-exposed parental samples had at least 10X converge, 0.59% of the detected mutations were shared. Moreover, we found that only 11.9% ± 1.1 SD of the total variants detected in all the specimens and 1.9% ± 0.4 SD of the coding variants were present in the untreated control population (n = 50) of T. adhaerens, suggesting that most detected mutations were caused by the X-ray exposure (Fig 4 and S6 Data). These percentage values should be understood as maximum overlap between controls and X-ray-exposed specimens because not all variants present in the population are necessarily present in the same X-ray-exposed specimen. When we described the mutational signature of the treated samples, we found a statistically significant increase of the short deletions in all 5 samples compared to short insertions (paired t test, P = 0.01). This finding is compatible with the mutational profile induced by X-ray exposure (Fig 4 and S6 Data). There is a moderate overlap between mutated genes of parental and extrusion samples (Jaccard similarity index, group 1 = 0.05 (5%), group 2 = 0.04 (4%)), suggesting a different mutational profile between parental and extrusion samples. We did not find a statistically significant functional enrichment of mutations in the parental and extrusion samples.
(A) Single base substitutions induced by X-ray exposure. (B) Short deletions (40.2%) are statistically more abundant than insertions (36.7%) (paired t test, P = 0.01). (C) Number of mutations in T. adhaerens X-ray-exposed parental and X-ray-exposed extrusion samples. Both types of samples have a high number of mutations. (D) Mutated coding genes overlap between X-ray-exposed parental and X-ray-exposed extrusion samples, after excluding synonymous mutations. The moderate overlap between X-ray-exposed parental and X-ray-exposed extrusion samples suggests a different mutational profile between X-ray-exposed parental and X-ray-exposed extrusion samples. The data used to generate this figure can be found in S6 Data. C1 and D1, organism 1; C2 and D2, organism 2; Small asym. fission, Small asymmetric fission.
DNA sequencing of T. adhaerens 2 years after X-ray exposure
We compared 50 random untreated control animals to 50 random animals exposed to X-rays after 2 years. We detected 3,637 total mutations (72.7 mutations per animal on average, of which 5 mutations were coding genes, excluding nonsynonymous mutations) in the X-ray-exposed animals but not in the controls. The number of mutations is strongly reduced compared to the number of mutations detected after 82 and 72 days from X-ray exposure (Fig 4), suggesting that the animals can remove mutations over time. We found that mutated genes with ADP binding function were overrepresented (PANTHER overrepresentation test, fold enrichment = 18.14, FDR < 0.0001). All these genes (TRIADG62071, TRIADG62073, TRIADG62368, TRIADG62451, TRIADG62462, TRIADG62501, TRIADG62549, and TRIADG62630) coding for NB-ARC domain-containing protein (Apoptotic Protease-Activating Factor 1 family, PANTHER). We found 68 genes assigned to this family in T. adhaerens but only one in humans (APAF1), PATHER).
We found that T. adhaerens are particularly resilient to DNA damage, which may explain why there have been no reports of cancer in placozoans. Mice die when exposed to 10 Gy of radiation [23,24]. Approximately 3 to 7 Gy of X-rays induces severe DNA damage in mammalian cells , and 6 Gy is almost always fatal for humans . In contrast, cancer cell cultures exposed to a cumulative dose of 60 Gy develop radioresistance . What is fascinating about T. adhaerens is that despite extensive DNA damage, they survive and fully recover, and, in the process, they extrude apparently damaged clusters of cells that eventually die.
T. adhaerens appear to be highly resistant to radiation
We found that some T. adhaerens were able to survive extremely high levels (218.6 Gy) of radiation exposure. There are several possible mechanisms that might underlie this radiation resistance. Tardigrades are radioresistant due to mechanisms that prevent DNA damage in the first place [28,29], which seems to be an adaptation to dehydration . Dehydration is unlikely to have been an issue for sea creatures like T. adhaerens, and their radiation resistance appears not to be due to preventing the DNA damage. In fact, T. adhaerens suffer extensive DNA damage from the X-rays but rely on mechanisms to repair DNA and maintain tissue homeostasis. Also, it is possible that their asexual reproductive strategy of budding reproduction might allow them to make use of many of the same mechanisms to extrude mutated cells in response to radiation exposure.
T. adhaerens reproduce vegetatively by repartitioning cells into new individuals. This could expose the population to the risk of spreading cancer cells. Thomas and colleagues  propose that the prevention of transmissible cancer could be a factor in the evolution of sexual reproduction, which, combined with immune surveillance, facilitates the detection of a transmissible cancer. They hypothesize that ancient asexual lineages would have had to evolve alternative, efficient mechanisms to prevent cancer from spreading, and note that other ancient asexual organisms (bdelloid rotifers  and oribatid mites ) are resistant to ionizing radiation and heavy metals. Our results support their hypothesis. Cell extrusion may be one of those mechanisms predicted by Thomas and colleagues to protect ancient asexual organisms. Because there is no germline/soma distinction in T. adhaerens, sexual reproduction could expose an individual to develop gametes from somatic mutated cells or even cancer cells. They also lack an immune system to detect de novo or transmissible cancers. Because the disposable soma theory  does not apply to placozoans, there may have been strong selective pressure on them to develop alternate mechanisms of cancer suppression.
Expression of DNA repair genes and apoptotic pathways increases after radiation exposure
T. adhaerens up-regulate genes involved in DNA repair, apoptosis, signaling, microtubule activity, transporters, stress response, and radioresistance (Table 1 and S1 Table). In particular, our detection of increased expression of the radioresistance gene TriadG28470 (EIF41B) is a nice (positive control) validation of our experimental approach. Interestingly, TriadG53566 (SMARCE1), a gene associated with chromatin remodeling complexes SWI/SNF, is also overexpressed. SWI/SNF complexes are involved in a variety of biological processes, including DNA repair. There is also evidence that SMARCE1 has a tumor suppressor function . The other genes that were overexpressed after X-ray exposure, with unknown or poorly known functions may be related to DNA repair, tissue homeostasis, or apoptosis. For instance, Triad28044 is a homolog of the human gene EMC2. The function of EMC2 is not well known in humans, but our results suggest that at least one of its functions may be X-ray damage response.
We also found that, after radiation exposure, MDM2, the negative regulator of TP53, is overexpressed in T. adhaerens, but TP53 expression does not increase. This may be an adaptation to prevent catastrophic levels of TP53-induced cell death after X-ray exposure, while the animal activates mechanisms of DNA and tissue repair. A possible interpretation of these results is that MDM2 represses TP53 activity soon after X-ray exposure. It is also possible that MDM2 has additional functions related to DNA repair . Although MDM2 is well conserved in evolution, neither C. elegans nor D. melanogaster have MDM2 , suggesting that T. adhaerens may be a particularly good model for studying apoptosis.
T. adhaerens extrudes apparently damaged cells that subsequently die
One striking mechanism we observed for dealing with potentially damaged and mutated cells is extrusion of those cells. With the small number of samples and the large number of mutations, we did not have enough statistical power to identify systematic differences in parental and extruded cells. We did detect an overabundance of mutations in apoptotic pathways, as well as overexpression of MDM2. This may be due to natural selection at the cellular level—cells with those mutations and responses would tend to survive, while cells that lacked those mutations and responses probably died.
In T. adhaerens, X-ray exposure triggers cell extrusion, but the resulting buds are not a form of asexual reproduction. Initially, it is difficult to distinguish extrusion of inviable cells from asexual budding, and so the number of animals seems to increase soon after X-ray exposure. But, as we followed those buds, we found that they almost always die (Figs 3 and S2). This extrusion may be a tissue or organismal strategy to remove damaged cells from the main animal body. We hypothesize that this is a cancer suppression mechanism, extruding premalignant cells before they can threaten the organism. This capacity for extrusion of cells might be responsible for the absence of evidence of cancer in T. adhaerens.
While the use of extrusion to prevent cancer may seem only relevant to simple organisms, the majority of human cancers arise in epithelial tissues, where extrusion and shedding of damaged cells could be a strategy for eliminating cancerous growths (such as the tissues of the skin and gut). There are hints that similar processes of extrusion of oncogenic cells may be at work in human cancer resistance [37–40]. Apoptotic cells and overproliferating cells can trigger extrusion [37–40]. The Sphingosine 1-Phosphate pathway contributes to its regulation and is accomplished through cytoskeleton remodeling .
The extrusion process is highly conserved in evolution [37–40]. Extrusion is involved in development, initiating cell differentiation, and epithelial–mesenchymal transitions in different organisms ranging from invertebrates to vertebrates . Bacterial infection stimulates shedding, suggesting that cell extrusion is also a defensive mechanism against pathogens; in fact, bacteria can hijack the extrusion molecular mechanisms to invade underlying tissues .
Cell cooperation (signaling) and competition are 2 important factors in extrusion . Cell competition is a cell elimination process through which cells can eliminate defective (for instance, growth rate and metabolic capacity) adjacent cells. The aberrant activation of signaling pathways in emergent cancer cells can be recognized by normal cells and triggers the elimination of the defective cells.
Cell competition could have a key role in Placozoa because these simple animals have not evolved a complex tissue organization. The extrusion of damaged cells may be a manifestation of cell–cell policing, a process that involves both cell competition and the regulation of cellular cooperation.
Extrusion of damaged cells is an understudied cancer suppression mechanism. At the moment, this process is only partially understood as it can only be studied in vivo in intact organisms. The opportunity to study cell extrusion in a simple animal model like T. adhaerens allows us to analyze the molecular mechanisms at the base of this process in detail. More broadly, extrusion may allow tissues to defend themselves against neoplastic cells; however, extrusion might also, in some cases, enable the spread of tumoral cellular aggregates in surrounding tissues and in the bloodstream, facilitating the formation of metastasis in advanced tumors. In fact, the metastatic efficiency of tumor cells increases when cells aggregate in multicellular clusters . In this case, it is possible that what was originally a defense mechanism may be subverted by neoplasms in order to metastasize. Understanding this could potentially lead to interventions to help shed precancer cells, to prevent cancer, or alternatively, even suppress this extrusion process to help prevent metastasis.
Both T. adhaerens and extruded buds have high levels of mutation
The extremely high levels of DNA fragmentation and mutations caused by X-ray radiation suggests that T. adhaerens is either very good at repairing DNA or is simply able to tolerate high rates of mutations. The genome sequencing of animals after 2 years from X-ray exposure showed the ability of T. adhaerens to survive, apparently without morphological or behavioral changes, harboring 72.7 total mutations in average. The number of mutations is strongly reduced compared to the number of mutations detected after 82 and 72 days from X-ray exposure, suggesting that the animals can remove mutations over time using a combination of cell extrusion and DNA repair mechanisms, suggesting a negative selection of mutated cells and a progressive process of DNA repair. To survive the initial extensive DNA damage, the organisms could activate mechanisms of DNA damage tolerance  and repair their DNA through subsequent DNA repair cycles.
The activation of genes involved in repairing DNA double strand breaks through mechanisms of both homologous recombination (for instance, TriadG28563) and nonhomologous end-joining (for instance, TriadG61626) had a critical role in the extensive DNA damage recovery. We could hypothesize that other unknown genes overexpressed in response to DNA damage are involved in DNA repair as well. The simplicity of maintaining T. adhaerens in culture, the availability of their genome sequence, and molecular tools  will allow a rapid experimental validation of the function of these genes.
We found a statistically significant enrichment of genes coding for NB-ARC domain-containing protein. There is only one human gene, APAF1, with the same protein domain but 68 on T. adhaerens. These genes could be involved in the regulation of apoptotic process . The impairment of these genes could have a function in the X-ray damage resilience, inhibiting apoptosis, but at the same time, the abundance of these genes could have a role in preventing cancer development. Moreover, the activation of antiapoptotic genes (for instance, MDM2) may prevent damaged cells from dying. T. adhaerens may avoid a massive loss of cells due to the extensive damage induced by X-rays by repairing or eliminating the damaged cells over the long term. Importantly, these pathways are well known to be impaired in cancer cells, suggesting that T. adhaerens could be a good model to study the mechanisms of carcinogenesis and cancer radioresistance. The low number of samples sequenced do not allow us to draw conclusions pertaining to differences between the parental X-ray-exposed specimens and extrusions from the same individuals.
Future work and alternative explanations for cell extrusion after radiation exposure
We have suggested that cell extrusion is likely a cancer resistance mechanism in T. adhaerens; however, it is possible that extrusion of cells has nothing to do with cancer suppression. One alternative hypothesis that could be tested in future work is that cell extrusion may be a byproduct of T. adhaerens asexual fissioning reproductive biology, or even an adaptation to separate into fragments in response to stressors. The reduction of animal size could reduce metabolic demand, mitigating physicochemical stressors  and allowing the organism to use more energy to repair cellular damage. Future work could explore these possibilities by deeper sequencing of the parental and extrusion DNA as well as mRNA. RNA expression should reveal if the extrusions are dying cells, neoplastic cells, or (damaged) juvenile organisms, which could be compared to T. adhaerens at different stages of reproduction and response to physicochemical stressors. Single-cell DNA sequencing could also reveal if the extrusions are a clonal or a heterogeneous collection of damaged cells.
Our experiments show that T. adhaerens is highly radiation resistant and that radiation exposure causes changes in the expression of genes associated with DNA repair and apoptosis. As a model system, it can potentially be used to identify new genes involved in fundamental processes associated with DNA repair, apoptosis regulation, and tissue level cancer protection in vivo. Further, T. adhaerens is capable of extruding nonviable cells after radiation exposure, suggesting that the process of extrusion might be an important and understudied mechanism of cancer suppression. Together, these results show promise for T. adhaerens as a model system for studying resilience to radiation exposure as well as the genetic and molecular mechanisms underlying DNA repair and apoptosis.
Material and methods
We grew T. adhaerens  in glass Petri dishes 100 mm diameter × 20 mm high in 30 ml of artificial seawater (ASW) made in the laboratory by adding 32.5 grams of Instant Ocean sea salt (Prod. n. 77 SS15-10) per liter of distilled water (pH 8), at constant and controlled temperature (23°C) and humidity (60%) with a photoperiod of 14 hours/10 hours light/dark cycle in an environmental chamber (Thermo Fisher Scientific, mod. 3940). We fed T. adhaerens with diatom algae (Pyrenomonas helgolandii) ab libitum. Each plate can contain hundreds of animals. When their numbers increase and when food is depleted, T. adhaerens detach from the plate surface and float on the water’s surface. We gently collected the floating T. adhaerens with a loop and transferred them to new plates, along with 3 ml of ASW from the old plate. This step is required for the animals to successfully grow in the new plates. The animal and algae cultures are assembled in a sterile environment using a biological hood and using sterile materials so that the cultures are protected from parasites and other microorganisms that might interfere with the maintenance of healthy cultures and experiments.
We transferred 50 floating animals in fresh plates with algae 3 days before exposure. On the day of exposure, any floating animals were removed from the plates. We exposed the animals to 160 Gy or 240 Gy using a Rad Source Technologies irradiator (mod. RS-2000 Biological System). Considering X-ray absorbance of the borosilicate glass (Pyrex) plate lid (2 mm) and water in the column above the animals (3 mm), we calculated the actual X-ray exposure of specimens to be 143.6 Gy and 218.6 Gy, respectively. To estimate the number of extrusions per animal and to monitor the morphological changes overtime, we transferred a single animal per well into 24-well plates seeded 7 days before with algae (P. helgolandii) of both control and experimental plates. Dose-finding tests suggested that 218.6 Gy is the maximum single-dose tolerance for T. adhaerens. After 30 days, only a few animals (<5%) survived, but they repopulated the culture.
Morphological and morphometric analysis
We observed the animals under a Nikon SMZ1270 dissecting microscope and a Nikon Eclipse Ti-U inverted microscope. We recorded images and videos by using a Nikon DS-Fi2 camera. We counted the treated (n = 1,085) and control (n = 992) T. adhaerens and measured the size of the treated (n = 1,085) and control (n = 992) animals present on the 10 plates of control and 10 plates treated replicas using ImageJ software . Images used for morphometric analysis were taken at 20X magnification.
DNA damage evaluation
We used the silver-stained Comet alkaline assay (Travigen, Cat#4251-050-K) [49,50] to measure the level of DNA fragmentation according to the manufacturer’s specifications, and we used ImageJ software  to quantify the DNA fragmentation.
Flow cytometry analysis
The human histone H2AX protein is well conserved in T. adhaerens (TriadG64252, 82% identity). In particular, serine 139 is present both in human and T. adhaerens protein (BLAST ). Thus, we used the H2A.X Phosphorylation Assay Kit (Flow cytometry, Millipore, Catalog # 17–344) to detect the level of phosphorylated (serine 139) histone H2AX. We collected 100 animals immediately after the X-ray exposure for each control and experiment replica (3 biological replicas of the experiment) in ASW. We then removed the ASW, and we dissociated the cells in cold Mg++ and Ca++ free PBS with 20 mM EDTA by gently pipetting the collected animals soon after adding the PBS-EDTA buffer. The samples were then kept on ice for 5 minutes to ensure complete dissociation of cells. We processed the dissociated cells according to the manufacturer’s specifications, and we quantified the level of phosphorylated histone H2AX using an Attune NxT Flow Cytometer (Invitrogen).
Gene expression analysis: RNA-seq
We performed the transcriptome analysis using a maximal dose that T. adhaerens can tolerate to fully activate the mechanisms of DNA repair, and we focused on the early events of DNA damage response. We treated the T. adhaerens with 181.1 Gy of X-rays. After 2 hours, we extracted the total RNA (RNeasy mini kit, Qiagen, cat. n. 74104) from 40 animals for each of the 3 experimental replicates (total, n = 120) and respective controls (total, n = 120). After verifying the purity and integrity (RIN = controls: 9.3 ± 0.2 SD, experimental 9.2 ± 0.1 SD) of the RNA using an Agilent 2200 TapeStation, part of the extracted RNA was utilized for RNA-seq analysis in order to study the change in genetic expression between controls and experimental specimens at the level of the entire transcriptome. We sequenced the samples using an Illumina NextSeq 500 instrument. We checked the quality of the RNA-seq reads for each sample using FastQC v0.10.1, and we aligned the reads with the reference genome using STAR v2.5.1b (22.68 million reads uniquely mapped on average per sample). Cufflinks v2.2.1 was used to report FPKM values (fragments per kilobase of transcripts per million mapped reads) and read counts. Transcripts per million (TPM) was calculated using R software . We performed the differential expression analysis using the EdgeR package from Bioconductor v3.2 in R 3.2.3. For each pairwise comparison, genes with false discovery rate (FDR) <0.05 were considered significant, and log2-fold changes of expression between conditions were reported after Bonferroni correction. We analyzed the differentially expressed genes using Ensembl , PANTHER , and DAVID [55,56] software.
Gene expression analysis: Real-time PCR
We used the same RNA extracted for the RNA-seq analysis to validate the transcriptome analysis, and we extracted the RNA (RNeasy mini kit, Qiagen, Cat. No. 74104) at different times after being exposed to X-rays (2, 6, 12, 24, and 48 hours) to study the expression of TriadG64021 (homolog of the human TP53 gene) and TriadG54791 (homolog of the human MDM2 gene). We extracted the RNA from 50 animals coming from 4 different plates exposed to 143.6 Gy X-rays and 4 control plates. Each experiment was repeated thrice. We assessed the RNA integrity through an Agilent 2200 TapeStation system. We retrotranscribed 400 ng of RNA of each specimen using the SuperScript Vilo cDNA synthesis kit (Invitrogen) according to the manufacturer’s protocol. We used the SYBR green fluorescent dye (Power SYBR Green, PCR master mix, Applied Biosystems) to monitor DNA synthesis. We reported the relative expression values for each gene as a ratio of the gene expression level to TriadT64020 (homolog of the human GAPDH gene) expression level in the same sample and normalized for the control level of expression [57,58].
Whole genome sequencing (WGS)
We collected 2 independent groups of specimens: Group 1 is composed by an X-ray-exposed specimen (parental), a small animal derived from an asymmetric fission of the X-ray-exposed parental animal, and an extrusion derived from the X-ray-exposed parental specimen. Group 2 is composed by an X-ray-exposed specimen (parental) and an extrusion derived from the same animal. We collected the samples after 82 and 72 days, respectively, from the X-ray treatment. Moreover, we collected 50 random untreated control animals and 50 random animals after 2 years from X-ray exposure (143.6 Gy). Both control and X-ray-exposed animals were kept in continuous cultures as described above (lab cultures section). These 2 groups of animals were pooled in 2 distinct samples (untreated and X-ray-exposed specimens) before DNA extraction. We extracted the DNA using the NucleoSpin Tissue XS kit (Takara, cat.n.740901.50) according to the manufacturer’s specifications.
We generated Illumina compatible Genomic DNA libraries on Agilent’s BRAVO NGS liquid handler using Kapa Biosystem’s Hyper plus library preparation kit (KK8514). We enzymatically sheared the DNA to approximately 300 bp fragments, end repaired and A-tailed as described in the Kapa protocol. We ligated Illumina-compatible adapters with unique indexes (IDT #00989130v2) on each sample individually. The adapter ligated molecules were cleaned using Kapa pure beads (Kapa Biosciences, KK8002) and amplified with Kapa’s HIFI enzyme (KK2502). Each library was then analyzed for fragment size on an Agilent’s Tapestation and quantified by qPCR (KAPA Library Quantification Kit, KK4835) on Thermo Fisher Scientific’s Quantstudio 5 before multiplex pooling and sequencing a 2 × 100 flow cell on the NovaSeq platform (Illumina) at the Collaborative Sequencing Center.
We loaded 1,500 pM of the library pool with 1% PhiX for error tracking onto a NovaSeq SP flowcell for 101 × 8 × 8 × 101 bp reads. Sequencing was performed using the Illumina NovaSeq 6000 SP Reagent Kit (200 cycles; cat#20040326) on an Illumina NovaSeq 6000.
We checked the quality of WGS reads for each sample using FastQC v0.10.1  and aligned them to the T. adhaerens assembly deposited in DDBJ/EMBL/GenBank as accession number ABGP00000000 using Burrows–Wheeler short-read alignment tool, BWA-MEM version 0.7.15 . After alignment, we discovered SNPs and indels following the GATK Best Practices workflow of germline short variant discovery . We preprocessed raw mapped reads by adding read groups, indexing, marking duplicates, sorting, and recalibrating base quality scores. We called the variants using HaplotypeCaller . We discarded them according to their quality score (Q score <30) and coverage (<10X). After discarding those regions, we obtained coverage of 10.1% (parental animal 1), 9.3% (small asymmetric fission from parent 1), 2.7% (extrusion 1), 28.7% (parental animal 2), and 7.6% (extrusion 2) (S2 Table). We annotated the variants by SnpEff (version 4.3i) .
S1 Fig. Percentage of lethality over time after X-ray exposure.
All radiation doses induce an increased number of T. adhaerens. There is a statistically significant positive correlation between the doses of radiation and the number of T. adhaerens calculated as the average of the first 4 days before the beginning of animal death caused by radiation (Pearson correlation, r = 0.814, P = 0.026). All the doses with the exception of 143.6 Gy determine a sharp decrease in the number of animals 8 days after the X-ray exposure. The 8 days final time point is because after 8 days, the environmental plates’ condition deteriorates (for instance, reduction of algae and weather quality), and the transferring of animals in fresh plates could compromise their integrity, in particular of the radiation treated ones. Histograms represent the mean ± SEM (error bars). The data used to generate this figure can be found in S1 Data.
S2 Fig. The extrusions before death acquire a spherical shape (arrows); magnification 40X.
S3 Fig. Representative images of the comet assay measuring DNA strand breaks.
(A) The controls have few nuclei showing DNA fragmentation. (B) In contrast, animals exposed to 143.6 Gy of X-rays have many more nuclei with extensive fragmentation of their DNA (Mann–Whitney U Test, P < 0.0001). The arrows indicate examples of a “comet” with the nucleus containing unfragmented DNA and the electrophoretic migration of fragmented DNA (tail, shown in the inset of panel B).
S4 Fig. H2AX phosphorylation DNA damage assay.
We confirmed DNA damage using the H2AX phosphorylation assay, controls (A, B), experimental (C, D) cells. The solid line shows the region of cell-derived fluorescence signals. The data used to generate this figure can be found in S4 Data.
S5 Fig. Change in TP53 and MDM2 gene expression in T. adhaerens after X-ray exposure.
Each experiment was repeated thrice (Mann–Whitney test, MDM2 vs control, P < 0.05; TP53 vs control, P = NS; TP53 vs MDM2, paired t test, P < 0.05). Histograms represent the mean (log10 fold) ± SEM (error bars). The data used to generate this figure can be found in S5 Data.
S1 Table. Annotations of genes overexpressed after X-ray exposure.
We used the DAVID software to annotate the overexpressed genes. This table reports the name of the gene, the biological function, the cellular component, the molecular function, protein description (INTERPRO), the pathway of appurtenance (KEGG), and the SMART annotation if available.
S2 Table. Coverage of whole genome sequencing.
There is a substantial difference between the coverage of the parental and extruded samples. This is mostly caused by the limited-dying number of cells available in the extrusions.
S3 Table. PCR primer sequences.
Sequences of primers (5′-3′) of T. adhaerens genes and their human orthologs (as indicated in parentheses), TriadT64020 (GAPDH), TriadG64021 (TP53), and TriadG54791 (MDM2).
S1 Data. Lethality over time after X-ray exposure.
Number of animals 0–8 days after X-ray exposure (control, 143.6, 181.1, 218.6, 256.5, 294.5, and 332.5 Gy).
S2 Data. Number of X-ray exposed and control T. adhaerens.
S3 Data. Size of X-ray exposed and control T. adhaerens.
S4 Data. Flow cytometry analysis. H2AX phosphorylation assay.
S5 Data. TP53, MDM2, and GAPDH gene expression in T. adhaerens after X-ray exposure and control.
We would like to thank Arathi Kulkarn and Avalon Yi for help with culturing the animals and assistance during the experiments; Joy Blain, Shanshan Yang, Kristina Buss (ASU Genomics Facility), and Jonathan Scirone for DNA and RNA sequencing.
The findings, opinions, and recommendations expressed here are those of the authors and not necessarily those of the universities where the research was performed or the National Institutes of Health.
- 1. Aktipis CA, Boddy AM, Jansen G, Hibner U, Hochberg ME, Maley CC, et al. Cancer across the tree of life: cooperation and cheating in multicellularity. Philos Trans R Soc Lond B Biol Sci. 2015;370. pmid:26056363
- 2. Tollis M, Boddy AM, Maley CC. Peto’s Paradox: how has evolution solved the problem of cancer prevention? BMC Biol. 2017;15:60. pmid:28705195
- 3. Nunney L, Maley CC, Breen M, Hochberg ME, Schiffman JD. Peto’s paradox and the promise of comparative oncology. Philos Trans R Soc Lond B Biol Sci. 2015;370. pmid:26056361
- 4. Caulin AF, Maley CC. Peto’s Paradox: evolution’s prescription for cancer prevention. Trends Ecol Evol. 2011;26:175–82. pmid:21296451
- 5. Peto R, Roe FJC, Lee PN, Levy L, Clack J. Cancer and Aging in Mice and Men. Br J Cancer. 1975;32:411–26. pmid:1212409
- 6. Roche B, Hochberg ME, Caulin AF, Maley CC, Gatenby RA, Misse D, et al. Natural resistance to cancers: a Darwinian hypothesis to explain Peto’s paradox. BMC Cancer. 2012;12:387. pmid:22943484
- 7. Abegglen LM, Caulin AF, Chan A, Lee K, Robinson R, Campbell MS, et al. Potential Mechanisms for Cancer Resistance in Elephants and Comparative Cellular Response to DNA Damage in Humans. JAMA. 2015;314:1850–60. pmid:26447779
- 8. Tollis M, Robbins J, Webb AE, Kuderna LFK, Caulin AF, Garcia JD, et al. Return to the sea, get huge, beat cancer: an analysis of cetacean genomes including an assembly for the humpback whale (Megaptera novaeangliae). Mol Biol Evol. 2019. pmid:31070747
- 9. Dohrmann M, Wörheide G. Dating early animal evolution using phylogenomic data. Sci Rep. 2017;7:3599. pmid:28620233
- 10. Eitel M, Guidi L, Hadrys H, Balsamo M, Schierwater B. New insights into placozoan sexual reproduction and development. PLoS ONE. 2011;6:e19639. pmid:21625556
- 11. Schierwater B, Eitel M. Placozoa. Evolutionary Developmental Biology of Invertebrates 1. Vienna: Springer; 2015. p. 107–14. https://doi.org/10.1371/journal.pone.0140162 pmid:26580806
- 12. Schierwater B, Eitel M, Osigus H-J, von der Chevallerie K, Bergmann T, Hadrys H, et al. Trichoplax and Placozoa: one of the crucial keys to understanding metazoan evolution. Key transitions in animal evolution. 2010. p. 289–326.
- 13. Smith CL, Varoqueaux F, Kittelmann M, Azzam RN, Cooper B, Winters CA, et al. Novel cell types, neurosecretory cells, and body plan of the early-diverging metazoan Trichoplax adhaerens. Curr Biol. 2014;24:1565–72. pmid:24954051
- 14. Fortunato A, Aktipis A. Social Feeding Behavior of Trichoplax adhaerens. Front Ecol Evol. 2019;7:19. pmid:31667165
- 15. Pearse VB, Voigt O. Field biology of placozoans (Trichoplax): distribution, diversity, biotic interactions. Integr Comp Biol. 2007;47:677–92. pmid:21669749
- 16. Eitel M, Schierwater B. The phylogeography of the Placozoa suggests a taxon-rich phylum in tropical and subtropical waters. Mol Ecol. 2010. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1365-294X.2010.04617.x. pmid:20604867
- 17. Spradling A, Ganetsky B, Hieter P, Johnston M, Olson M, Orr-Weaver T, et al. New roles for model genetic organisms in understanding and treating human disease: report from the 2006 Genetics Society of America meeting. Genetics. 2006;172:2025–32. pmid:16636111
- 18. Wilson-Sanders SE. Invertebrate models for biomedical research, testing, and education. ILAR J. 2011;52:126–52. pmid:21709307
- 19. Petralia RS, Mattson MP, Yao PJ. Aging and longevity in the simplest animals and the quest for immortality. Ageing Res Rev. 2014;16:66–82. pmid:24910306
- 20. Srivastava M, Begovic E, Chapman J, Putnam NH, Hellsten U, Kawashima T, et al. The Trichoplax genome and the nature of placozoans. Nature. 2008;454:955–60. pmid:18719581
- 21. Hayman TJ, Williams ES, Jamal M, Shankavaram UT, Camphausen K, Tofilon PJ. Translation initiation factor eIF4E is a target for tumor cell radiosensitization. Cancer Res. 2012;72:2362–72. pmid:22397984
- 22. Lane DP, Cheok CF, Brown C, Madhumalar A, Ghadessy FJ, Verma C. Mdm2 and p53 are highly conserved from placozoans to man. Cell Cycle. 2010;9:540–7. pmid:20081368
- 23. Williams JP, Brown SL, Georges GE, Hauer-Jensen M, Hill RP, Huser AK, et al. Animal models for medical countermeasures to radiation exposure. Radiat Res. 2010;173:557–78. pmid:20334528
- 24. Plett PA, Sampson CH, Chua HL, Joshi M, Booth C, Gough A, et al. Establishing a murine model of the hematopoietic syndrome of the acute radiation syndrome. Health Phys. 2012;103:343–55. pmid:22929467
- 25. Puck TT, Marcus PI. Action of x-rays on mammalian cells. J Exp Med. 1956;103:653–66. pmid:13319584
- 26. Wagner RH, Boles MA, Henkin RE. Treatment of radiation exposure and contamination. Radiographics. 1994;14:387–96. pmid:8190961
- 27. McDermott N, Meunier A, Mooney B, Nortey G, Hernandez C, Hurley S, et al. Fractionated radiation exposure amplifies the radioresistant nature of prostate cancer cells. Sci Rep. 2016;6:34796. pmid:27703211
- 28. Jönsson KI, Ingemar Jönsson K, Harms-Ringdahl M, Torudd J. Radiation tolerance in the eutardigradeRichtersius coronifer. Int J Radiat Biol. 2005:649–56. pmid:16368643
- 29. Horikawa DD, Sakashita T, Katagiri C, Watanabe M, Kikawada T, Nakahara Y, et al. Radiation tolerance in the tardigrade Milnesium tardigradum. Int J Radiat Biol. 2006;82:843–8. pmid:17178624
- 30. Hashimoto T, Horikawa DD, Saito Y, Kuwahara H, Kozuka-Hata H, Shin-I T, et al. Extremotolerant tardigrade genome and improved radiotolerance of human cultured cells by tardigrade-unique protein. Nat Commun. 2016;7:12808. pmid:27649274
- 31. Thomas F, Madsen T, Giraudeau M, Misse D, Hamede R, Vincze O, et al. Transmissible cancer and the evolution of sex. PLoS Biol. 2019;17:e3000275. pmid:31170137
- 32. Krisko A, Leroy M, Radman M, Meselson M. Extreme anti-oxidant protection against ionizing radiation in bdelloid rotifers. Proc Natl Acad Sci U S A. 2012;109:2354–7. pmid:22308443
- 33. Skubała P, Zaleski T. Heavy metal sensitivity and bioconcentration in oribatid mites (Acari, Oribatida) Gradient study in meadow ecosystems. Sci Total Environ. 2012;414:364–72. pmid:22134027
- 34. Kirkwood TB. The disposable soma theory. The evolution of senescence in the tree of life. 2017:23–39.
- 35. Kehrer-Sawatzki H, Farschtschi S, Mautner V-F, Cooper DN. The molecular pathogenesis of schwannomatosis, a paradigm for the co-involvement of multiple tumour suppressor genes in tumorigenesis. Hum Genet. 2017;136:129–48. pmid:27921248
- 36. Eischen CM. Role of Mdm2 and Mdmx in DNA repair. J Mol Cell Biol. 2017;9:69–73. pmid:27932484
- 37. Eisenhoffer GT, Loftus PD, Yoshigi M, Otsuna H, Chien C-B, Morcos PA, et al. Crowding induces live cell extrusion to maintain homeostatic cell numbers in epithelia. Nature. 2012;484:546–9. pmid:22504183
- 38. Slattum GM, Rosenblatt J. Tumour cell invasion: an emerging role for basal epithelial cell extrusion. Nat Rev Cancer. 2014;14:495–501. pmid:24943812
- 39. Kajita M, Sugimura K, Ohoka A, Burden J, Suganuma H, Ikegawa M, et al. Filamin acts as a key regulator in epithelial defence against transformed cells. Nat Commun. 2014;5:4428. pmid:25079702
- 40. Kajita M, Fujita Y. EDAC: Epithelial defence against cancer—cell competition between normal and transformed epithelial cells in mammals. J Biochem. 2015;158:15–23. pmid:25991731
- 41. Gu Y, Rosenblatt J. New emerging roles for epithelial cell extrusion. Curr Opin Cell Biol. 2012;24:865–70. pmid:23044222
- 42. Ohsawa S, Vaughen J, Igaki T. Cell Extrusion: A Stress-Responsive Force for Good or Evil in Epithelial Homeostasis. Dev Cell. 2018: 532. pmid:29486197
- 43. Aceto N, Bardia A, Miyamoto DT, Donaldson MC, Wittner BS, Spencer JA, et al. Circulating tumor cell clusters are oligoclonal precursors of breast cancer metastasis. Cell. 2014;158:1110–22. pmid:25171411
- 44. Cipolla L, Maffia A, Bertoletti F, Sabbioneda S. The Regulation of DNA Damage Tolerance by Ubiquitin and Ubiquitin-Like Modifiers. Front Genet. 2016;7:105. pmid:27379156
- 45. van der Biezen EA, Jones JD. The NB-ARC Domain: A Novel Signalling Motif Shared by Plant Resistance Gene Products and Regulators of Cell Death in Animals. Curr Biol. 1998;8(7):R226–7. pmid:9545207
- 46. Passow CN, Arias-Rodriguez L, Tobler M. Convergent evolution of reduced energy demands in extremophile fish. PLoS ONE. 2017;12:e0186935. pmid:29077740
- 47. Grell KG, Benwitz G. Ergänzende Untersuchungen zur Ultrastruktur von Trichoplax adhaerens F.E. Schulze (Placozoa). Zoomorphology. 1981;98:47–67.
- 48. Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ: 25 years of image analysis. Nat Methods. 2012;9:671–5. pmid:22930834
- 49. Dhawan A, Bajpayee M, Parmar D. Comet assay: a reliable tool for the assessment of DNA damage in different models. Cell Biol Toxicol. 2009;25:5–32. pmid:18427939
- 50. Bajpayee M, Kumar A, Dhawan A. The Comet Assay: Assessment of In Vitro and In Vivo DNA Damage. Genotoxicity Assessment. Totowa, NJ: Humana Press; 2013. p. 325–45.
- 51. Sayers EW, Cavanaugh M, Clark K, Ostell J, Pruitt KD, Karsch-Mizrachi I. GenBank. Nucleic Acids Res. 2019;47:D94–9. pmid:30365038
- 52. Team RC, Others. R: A language and environment for statistical computing. Vienna, Austria; 2013. Available from: http://finzi.psych.upenn.edu/R/library/dplR/doc/intro-dplR.pdf.
- 53. Yates AD, Achuthan P, Akanni W, Allen J, Allen J, Alvarez-Jarreta J, et al. Ensembl 2020. Nucleic Acids Res. 2020;48:D682–8. pmid:31691826
- 54. Mi H, Muruganujan A, Huang X, Ebert D, Mills C, Guo X, et al. Protocol Update for large-scale genome and gene function analysis with the PANTHER classification system (v140). Nat Protoc. 2019: 703–21. pmid:30804569
- 55. Huang DW, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009: 44–57. pmid:19131956
- 56. Huang DW, Sherman BT, Lempicki RA. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res. 2009;37:1–13. pmid:19033363
- 57. Pfaffl MW. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001: 45e–45. pmid:11328886
- 58. Fortunato A, Gasparoli L, Falsini S, Boni L, Arcangeli A. An analytical method for the quantification of hERG1 channel gene expression in human colorectal cancer. Diagn Mol Pathol. 2013;22:215–21. pmid:24193004
- 59. Untergasser A, Cutcutache I, Koressaar T, Ye J, Faircloth BC, Remm M, et al. Primer3—new capabilities and interfaces. Nucleic Acids Res. 2012: e115–e115. pmid:22730293
- 60. Koressaar T, Remm M. Enhancements and modifications of primer design program Primer3. Bioinformatics. 2007;23:1289–91. pmid:17379693
- 61. Andrews S. FastQC: a quality control tool for high throughput sequence data. Available online; 2010.
- 62. Li H, Durbin R. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics. 2010;26:589–95. pmid:20080505
- 63. Geraldine_VdAuwera. Germline short variant discovery (SNPs + Indels). In: GATK-Forum [Internet]. 2018 Jan 7 [cited 2020 Jul 15]. Available from: https://gatkforums.broadinstitute.org/gatk/discussion/11145/germline-short-variant-discovery-snps-indels.
- 64. Poplin R, Ruano-Rubio V, DePristo MA, Fennell TJ, Carneiro MO, Van der Auwera GA, et al. Scaling accurate genetic variant discovery to tens of thousands of samples. bioRxiv. 2017: 201178.
- 65. Cingolani P, Platts A, Wang LL, Coon M, Nguyen T, Wang L, et al. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly. 2012;6:80–92. pmid:22728672