Evolution of the NET (NocA, Nlz, Elbow, TLP-1) protein family in metazoans: insights from expression data and phylogenetic analysis


The NET (for NocA, Nlz, Elbow, TLP-1) protein family is a group of conserved zinc finger proteins linked to embryonic development and recently associated with breast cancer. The members of this family act as transcriptional repressors interacting with both class I histone deacetylases and Groucho/TLE co-repressors. In Drosophila, the NET family members Elbow and NocA are vital for the development of tracheae, eyes, wings and legs, whereas in vertebrates ZNF703 and ZNF503 are important for the development of the nervous system, eyes and limbs. Despite the relevance of this protein family in embryogenesis and cancer, many aspects of its origin and evolution remain unknown. Here, we show that NET family members are present and expressed in multiple metazoan lineages, from cnidarians to vertebrates. We identified several protein domains conserved in all metazoan species or in specific taxonomic groups. Our phylogenetic analysis suggests that the NET family emerged in the last common ancestor of cnidarians and bilaterians and that several rounds of independent events of gene duplication occurred throughout evolution. Overall, we provide novel data on the expression and evolutionary history of the NET family that can be relevant to understanding its biological role in both normal conditions and disease.


The NET protein family is a group of conserved zinc finger proteins linked to embryonic development (reviewed in ref. 1) and more recently to cancer2,3,4. The term NET derives from the names of the first proteins discovered in this family: NocA, Nlz, Elbow, and TLP-11. NocA (no ocelli) and Elbow are paralogous genes located 82 kb apart on chromosome 2L of Drosophila melanogaster5. The NocA and Elbow proteins share 35% of sequence identity and are both implicated in retina, trachea, wing and leg development. NocA is also important for the development of the Drosophila’s embryonic brain and ocellar structures6,7,8,9. Only one NET member (TLP-1; T lineage defect, LePtoderan tail) is found in Caenorhabditis elegans, and it is involved in asymmetric cell fate determination and morphogenesis during the development of the nematode tail10. Vertebrates have two NET family members, the ZNF703 (also known as Nlz1) and ZNF503 (also known as Nlz2) paralogous proteins, which were first described in zebrafish11,12. Studies on zebrafish, chicken and mouse have demonstrated that these proteins are widely expressed during embryogenesis in the brain, spinal cord, face, limbs and somites and participate in developmental processes that include optic fissure closure during eye development13, limb formation14, motoneuron identity specification15, hindbrain patterning11,12,16,17,18,19 and striatum development16,20. Although the expression of the two NET members during embryonic development in humans remain uncharacterized, we have previously shown that ZNF703 is expressed ubiquitously in human adult tissues21. The NET family has gained further relevance by the discovery that ZNF703 is a luminal B human breast cancer oncogene2,3, with the 8p11-12 chromosomal region where ZNF703 is located being frequently amplified in breast cancer cases22,23,24,25. Furthermore, overexpression of the mouse Znf703 is associated with breast cancer progression and metastasis26. There is also evidence that ZNF703 acts as an oncogene that promotes progression in gastric cancer4.

Several studies have shown that NET proteins function as transcription repressors15,18,19,21,26 and are unlikely to directly bind DNA1. Moreover, the NET proteins interact with known players of the repression process in different species, such as Groucho family corepressors7,12,15,19,21,26 and class I histone deacetylases HDAC1 and HDAC212,18. It was recently shown that ZNF703 can repress TGFBR2 (transforming growth factor β receptor II) and E-cadherin expression2,26 as well as human TGF-β and TCF/β-catenin-mediated transcription21,26. Our previous work suggests that vertebrate NET proteins have conserved domains that are important for their function as repressors and nuclear localization21.

Despite the role of the NET protein family in critical developmental processes and its association with human breast oncogenesis, the evolutionary history of this family remains poorly understood. Here, we sought to determine the expression of NET members in the diversity of metazoan lineages, refine the NET protein-conserved domains and reconstruct the phylogeny and gene arrangement around NET family genes in metazoans.


The NET family is expressed in diverse metazoan lineages

The search for proteins belonging to the NET family in different databases (Ensembl, NCBI and JGI) allowed us to recover 165 protein sequences from different metazoan lineages ranging from cnidarians to vertebrates (Supplementary Table S1). We were unable to identify any NET protein sequence in non-metazoan groups like choanoflagellates (Monosiga brevicollis and Salpingoeca rosetta) and in metazoan organisms belonging to Placozoa (Trichoplax adhaerens), Porifera (Amphimedon queenslandica) and Ctenophora (Mnemiopsis leidyi and Pleurobrachia bachei). Although gaps in the genomic sequences may explain the absence of these proteins in databases, it is likely that the genes encoding NET proteins might have appeared only in the common ancestor of Eumetazoa.

We identified NET proteins in various invertebrate groups where this family has never been documented before (Supplementary Table S1), including Cnidaria and Brachiopoda with one NET protein; Annelida with two NET proteins and Mollusca with one (Octopus bimaculoides and Aplysia californica), two (Crassostrea gigas) or three NET proteins (Lottia gigantea). The deuterostomes Saccoglossus kowalevskii, Ptychodera flava (Hemichordata) and Strongylocentrotus purpuratus (Echinodermata) have one NET protein each (Supplementary Table S1). In chordates, a single NET protein was found in Urochordata (Ciona intestinalis) and Cephalochordata (Branchiostoma floridae). In Vertebrata two NET family proteins (the paralogous proteins ZNF703 and ZNF503; Supplementary Table S1) are present in all species, with the exception of Cyclostomata (Lethenteron japonicum) with a single NET protein. We have also observed that several fish species have two Znf703 (Nlz1) and two Znf503 (Nlz2) proteins (Supplementary Table S1), most likely due to the fish-specific whole genome duplication (WGD) event27.

RT-PCR and sequencing analyses were used to determine whether NET family members are expressed in metazoan groups where they had not been studied previously. As shown in Fig. 1a, NET family genes were found to be expressed in Nematostella vectensis (starlet sea anemone), Capitella teleta (polychaete worm), L. gigantea (owl limpet), S. purpuratus (purple sea urchin) and B. floridae (amphioxus) (Fig. 1a). We were able to show that L. gigantea has indeed three NET proteins, as suggested by the inspection of its genome (Fig. 1a and Supplementary Table S1). In addition, we also demonstrate here that ZNF503 is expressed in humans (Fig. 1), as previously shown for ZNF703 where the gene is ubiquitously expressed in adult human tissues and in cancer cell lines21.

Figure 1

Expression of NET family genes in different metazoan species.

(a) RT-PCR analysis of transcripts from the NET family shows broad expression in different metazoan groups. Human ZNF703 was used as positive control. NTC: RT-PCR non-template control; M: molecular-weight size marker. (b) Schematic illustration of the B. floridae gene structure as deduced by sequencing of the PCR product depicted in (a) and of the transcript deposited in the JGI genome portal (accession number 276112). The sequence length is shown for the exons above the black rectangles and for the introns below the thin line. The total transcript length is shown at the right of each scheme. Nt: nucleotide.

The results indicate that the amphioxus transcript has a 1518 nucleotide-long coding sequence with several differences in relation to the transcript from the B. floridae genome assembly v.1.0 available at the JGI genome portal (Fig. 1a and b). The sequence determined by us (GenBank accession number KU692026) shows that exon 1 is shorter than indicated at the JGI portal due to the use of a donor splice site (GT) located 18 nucleotides upstream of the donor splice site indicated in the JGI sequence (Fig. 1b). Moreover, the transcript from our sample implies that the gene has only two exons, with exon 2 having 1350 nucleotides that are separated in intron 2 and exon 3 in the JGI transcript (Fig. 1b). The large exon 2 of our sample includes the nucleotides that code for the important C2H2 zinc finger domain characteristic of all proteins belonging to the NET family1,21, which are located in what is annotated as intron 2 of the JGI portal. Our results suggest that the amphioxus coding sequence encodes a NET protein with 506 amino acids instead of the 144 amino acids reported in the JGI portal. The JGI transcript might be an alternative splicing transcript, possibly encoding a non-functional protein, or result from an erroneous automatic annotation.

Overall, these results demonstrate that NET family members originated in the last common ancestor to Eumetazoa and are present in the genomes of the majority of metazoan lineages.

NET family gene organization and protein domains

The comparison of 31 different NET family genes shows that they are typically composed by two exons (Supplementary Table S2), with exon 2 usually larger than exon 1 (Fig. 1b depicts an example of such gene organization). Only four cases (13%) among the 31 different species lack the two exon structure, namely tlp-1 (C. elegans) with 4 exons and Elbow (D. melanogaster), ZNF703 (Monodelphis domestica) and Znf703 (Mus musculus) with 3 exons. This result suggests that the ancestral gene from which all others derived most likely comprised 2 exons. Close inspection of the intron(s) reveals that NET genes have a conserved intron position and phase (Supplementary Table S2). Usually, NET genes have a single phase 0 intron located 5 to 6 codons upstream the nucleotides that code for the Sp protein domain. The location of the phase 0 intron is also maintained in species with more than one intron. Despite the high sequence variability evident in the phase 0 intron, the exon sequences flanking the intron are conserved (Supplementary Figure 1). The post-intron codons are conserved across all taxonomic groups (Supplementary Figure 1), while the pre-intron codons are conserved within some taxonomic groups (e.g., the VSPIE amino acid sequence is shared by tetrapods and the PLPTT sequence occurs in most annelids, arthropods and mollusks).

The alignment of NET proteins allowed the identification of five highly conserved protein regions with a high percentage of pairwise identity: the Sp, Btd box, C2H2 Zinc finger, RYHPY and Y-rich (tyrosine-rich) domains (Fig. 2a and b). These five regions were found in all NET proteins and can be defined as the NET family core protein domains.

Figure 2

NET family protein domains.

(a) General overview of the protein sequence alignment using metazoan NET proteins. The names and locations of the five domains are shown below the alignment. Species were grouped according to their taxonomic group using different colours. Taxon name is shown to the left of each group. The consensus sequence and identity is indicated for every position above the alignment, with high and low identity values represented by green and red bars, respectively. (b) Amino acid sequences of the five conserved domains identified in the alignment in (a). A high degree of conservation is evident in the sequence logos, sequence identity and percentage of pairwise identity (homology). The consensus sequence of each domain is shown above the logos. The two cysteines and two histidines characteristic of the C2H2 zinc finger domain are highlighted by an asterisk. (c) Schematic representation of the domains present in the different taxonomic groups. Btd – Buttonhead box; C – cysteine-rich domain; ZnF – C2H2 zinc finger domain; P – proline-rich domain and Y – tyrosine-rich domain.

The Sp, Btd box and C2H2 Zinc finger domains were previously described and are common to both NET and Sp protein families1. The RYHPY and Y-rich domains result from the split of the formerly designated C-terminal YL domain, described by us in vertebrate NET proteins21 due to the presence of a highly variable region between them. These two domains are not shared with the Sp protein family. By in-depth analysis of the protein sequence alignment we found that the Sp domain can be defined by a stretch of 14 amino acids with the consensus sequence S-P-L-[A/E]-[L/M]-L-A-[Q/A/K]-T-C-[S/E/N]-X-I-G (Fig. 2b). Furthermore, our data suggests that the previously defined Btd box consensus sequence R-X0–4-C-X-[C/D/N]-P-[N/Y]-C is not conserved in all NET family members, being more divergent than in the Sp family or in the Btd protein from D. melanogaster, where it was originally found1,28,29. In fact, the R-X0–4 residues at the initial portion of the domain were only present in nematodes and cnidarians. We were able to redesign the consensus sequence of the Btd box domain to a 7-amino-acid stretch with 78% pairwise identity: X-[C/S]-X-[D/N/E]-P-X1-2-C (Fig. 2b). All species have a cysteine (C) in the second position of the consensus sequence with the exception of C. intestinalis, which has a serine (S) in that position.

The NET protein family differs from the Sp family by having only one zinc finger from the C2H2 type, making them unlikely to directly bind DNA1. Our analyses suggests that the zinc finger domain differs from the usual C2H2 zinc finger consensus sequence F/Y-X-C-X2–5-C-X3-F/Y-X5-ϕ-X2-H-X3–5-H, where Φ indicates a hydrophobic residue and X any amino acid1, by having more residues (eight or nine) between the two cysteines along with some residues highly conserved between the second cysteine and the first histidine. Therefore, the consensus sequence of the C2H2 zinc finger domain of the NET family can be more accurately represented as X2-C-[N/S]-W-X6-7-C-[G/D]-K-[R/S/V]-F-X4-[E/D]-L-X2-H-X3-4-H (Fig. 2b).

Finally, two additional conserved domains at the C-terminal portion of the NET proteins were identified, that we named RYHPY and Y-rich domain according to the most abundant amino acids present in those domains (Fig. 2b). The RYHPY domain has the consensus sequence R-[Y/F]-[H/N/R]-P-Y, and the Y-rich domain has four tyrosines conserved in almost every species (Fig. 2b).

Although all NET proteins possess the five core domains (Fig. 2a and b), our analyses suggest the existence of specific domains in certain taxonomic groups, as already described for the vertebrate LP and PY domains21. Indeed, the alignment of proteins from arthropods allowed the discovery of two lineage-specific domains in this group: a cysteine-rich (C-rich) domain located upstream of the Btd box and a proline-rich (P-rich) domain located downstream of the zinc finger domain (Fig. 2c). Both arthropods and vertebrates share a FKPY motif placed after the Sp domain that is 100% conserved (Fig. 2c). This motif was previously named ‘Groucho-binding domain’, but recent data indicates that is not the domain required for the interaction between NET and Groucho/TLE proteins, at least not in vertebrates15,18,19,21. Finally, the previously described LP and PY domains21 were only found in vertebrates (Fig. 2c).

In summary, we identified five core protein domains with new consensus sequences by using the largest protein sequence alignment ever performed with metazoan NET proteins. The lineage-specific domains identified here should also be instrumental for functional studies of NET proteins in these specific taxonomic groups.

The phylogeny of the NET protein family

The inferred phylogenetic tree built with NET protein sequences has cnidarians as an outgroup, with Hydra magnipapillata forming a separate branch from the other cnidarian species (Fig. 3). The nematodes form a monophyletic group, with a clear separation between Enoplea (Romanomermis culicivorax, Trichinella native, Trichuris sp.) and Chromadorea (Brugia malayi, Caenorhabditis sp., Loa loa and Wuchereria bancrofti), supported by a Bayesian posterior probability (PP) of 1. The NET proteins from Annelida, Brachiopoda, Mollusca and Arthropoda form separate clades, supported by PP higher than 0.95. Two NET paralogues were found in C. teleta (Annelida), clustering with the brachiopod Lingula anatina. The sister group to clade Annelida/Brachiopoda is Mollusca (PP = 1), which forms a monophyletic group that includes species from Bivalvia, Cephalopoda and Gastropoda. We found mollusc species with one (O. bimaculoides and A. californica), two (C. gigas) or three (L. gigantea) NET paralogues (Fig. 3).

Figure 3

Bayesian phylogenetic tree built with metazoan NET protein sequences (n = 165).

Bayesian posterior probabilities are shown on the nodes. The scale bar indicates substitutions per site. Arrows indicate where whole genome duplications (WGDs) might have occurred.

The phylogenetic trees built with all NET protein sequences (Fig. 3) and exclusively with arthropods (Fig. 4a) include all chelicerates as a monophyletic group (PP of 0.98 for the split from the Crustacea/Insecta clade). We found two NET paralogues in Tetranychus urticae and four in Limulus polyphemus. Two NET paralogues were found in Daphnia pulex, one of them clustering with the single sequence found in Daphnia magna. The other D. pulex protein either clusters with Elbow sequences from insects (Fig. 4a) or forms a separate branch (Fig. 3). The trees clearly show that the paralogues Elbow and NocA form two well-supported distinct clades (PP of ~1). The NET proteins from species of the same order cluster together inside each paralogue, with most bifurcations supported by high posterior probabilities. The only species with a single NET protein in this group was Anopheles gambiae, with the only identified protein clustering with NocA. The lack of the Elbow paralogue in this mosquito may be due to gene loss or to an incomplete genomic sequence or assembly error as all other insects possessed the two paralogues.

Figure 4

Bayesian phylogenetic tree built with (a) Arthropod and (b) Chordate NET protein sequences. Bayesian posterior probabilities are shown on the nodes. The scale bar indicates substitutions per site.

The NET proteins from deuterostomes form a single clade separated from protostomes, supported by a PP of 1 (Fig. 3). The representative species of Hemichordata (S. kowalevskii and P. flava) and Echinodermata (S. purpuratus) cluster together (PP of 1), supporting the existence of a supraphyletic clade named Ambulacraria30. The NET protein of the Cephalochordata B. floridae clusters with Hemichordata and Echinodermata (PP of 1), while the protein from the Urochordata representative (C. intestinalis) clusters with vertebrates. The phylogenetic trees built exclusively with chordates (Fig. 4b) and with all NET proteins (Fig. 3) show a clear separation between the ZNF703 and ZNF503 paralogues with a PP of 1. In the ZNF703 branch, the first bifurcation separates the NET protein of the ghost shark Callorhinchus milii (Chondrichthyes) from the remaining species (PP = 1). The NET proteins from Actinopterygii are organized in a monophyletic group. The representative of Sarcopterygii, the coelacanth Latimeria chalumnae, is positioned close to amphibians in both trees. The NET proteins from Aves, Reptilia and Mammalia are arranged in a single branch of the tree. The single NET protein retrieved for Cyclostomata (L. japonicum, the Japanese lamprey) clusters with ZNF503 proteins in both trees (PP of 0.9 and 1). The absence of a ZNF703 paralogue may indicate that the Japanese lamprey has only a single NET protein as observed in Urochordata and Cephalochordata. However, the clustering of the single NET protein with ZNF503 suggests that there might have been a loss of the ZNF703 paralogue in L. japonicum, or that there is an incomplete genome sequence.

The phylogenetic relationship between ZNF503 and ZNF703 proteins is similar in the tree built exclusively with chordates (Fig. 4b). However, several differences were observed between ZNF503 and ZNF703 in the tree will all NET proteins (Fig. 3), with most nodes having a weak statistical support (PP lower than 0.60). Overall, inside each paralogue clade, the NET proteins of species from the same class cluster together with strong statistical support.

The independent duplication events of NET genes

The phylogenetic analyses confirmed the occurrence of multiple independent gene duplication events in the NET family (Figs 3 and 4). The gene duplications in species of Annelida (C. teleta), Mollusca (C. gigas and L. gigantea) and Arthropoda (T. urticae and L. polyphemus) resulted in paralogues that cluster together, separated from orthologues. Interestingly, the duplications observed in L. gigantea occurred in the same genomic region, as the three paralogues are located close to each other in the SuperContig LOTGIsca_11 (Supplementary Fig. S2). This gene cluster was most likely created by two rounds of tandem gene duplication events, including an inversion that generated the L. gigantea_156396 and L. gigantea_230146 genes that cluster together in the phylogenetic tree (Fig. 3) and are neighbours with different orientations in their genomic locus (Supplementary Fig. S1). Tandem duplications were also at the origin of the two NET paralogues present in C. teleta, C. gigas and D. pulex, as shown in Supplementary Fig. S2.

The duplication detected in Arthropoda generating the Elbow and NocA paralogues form distinct clusters with all species. We found that the Elbow and NocA paralogues in insects are located in the same chromosomal region in opposite directions. In some species, they are adjacent to each other (e.g. Culex quinquefasciatus and Pediculus humanus), whereas in others (e.g., Tribolium castaneum, Nasonia vitripennis and D. melanogaster) additional genes are located between the two paralogues (Supplementary Fig. S2). For example, in D. melanogaster, Elbow and NocA are 82 Kb apart with several genes between them. This result suggests that relocation of new genes to the region between the two paralogues occurred in some lineages after the ancestral duplication event.

The duplication observed in chordates generating the ZNF703 and ZNF503 paralogues also occurred before speciation within this group (Fig. 3). The possible modes of gene duplication in vertebrates were analysed by examining the gene organization surrounding the NET genes. We found synteny in both the ZNF703 (Fig. 5a) and ZNF503 (Fig. 5b) genomic regions in the six tetrapod species analysed. Although the degree of syntenic conservation is high in both genomic regions, the ZNF703 locus has a more conserved arrangement of genes than ZNF503. For example, ERLIN2 and PROSC are close to ZNF703 in all species (Fig. 5a), whereas the gene order in B. taurus is similar to humans around ZNF703 but differs in the ZNF503 region (Fig. 5a and b). Curiously, the gene order surrounding ZNF703 in Canis familiaris and Xenopus tropicalis is the same as in Homo sapiens but with genes annotated in the opposite strand (Fig. 5a).

Figure 5

Synteny conservation around ZNF703 (a) and ZNF503 (b) genomic regions in six representative species of tetrapods. The schemes show the relative position and orientation of the NET family and neighbouring genes. The sizes and distances between genes are not to scale. Numbers indicate chromosomal (Chr.) or scaffold (Sca.) locations in megabases (Mb) of the first gene analysed. Colour code represents orthologous relationship among genes. In (b) the scaffold of X. tropicalis terminates after SAMD8, which is indicated by a vertical line.

In fish, a conserved synteny was observed between Tetraodon nigroviridis, Gasterosteus aculeatus and Oryzias latipes in all loci analysed (Fig. 6). The synteny around znf703a and znf503a loci was less evident in Danio rerio (Fig. 6), particularly for the znf703a locus. We did not find znf703b and znf503b genes in D. rerio (Fig. 6), suggesting that it might have lost these genes after the fish-specific WGD event. Overall, the conserved synteny around the znf703a and znf703b (Fig. 6a) as well as znf503a and znf503b (Fig. 6b) genomic regions supports the 3R genome duplication as the origin of fish NET paralogues.

Figure 6

Synteny conservation around znf703a and znf703b (a) or znf503a and znf503b (b) genomic regions in representative species of fish. The schemes show the relative position and orientation of the NET and neighbouring genes. The distances between genes and the sizes are not to scale. Numbers indicate chromosomal (Chr.) or scaffold (Sca.) locations of the first gene analysed in megabases (Mb). Colour code represents orthologous relationship among genes, including with the genes of Fig. 5.


Here, we presented the first comprehensive study of the evolutionary pattern of the NET protein family in metazoans by using expression analysis, comparative genomics and phylogenetic inferences. The expression of NET family members in species representing the majority of the metazoan groups suggests that the NET family emerged with the formation of cnidarians and bilaterians and that it plays an important functional role throughout Eumetazoa evolution. Accordingly, NET family members are known to repress Wnt and TGF-β mediated transcription21,26,31, which are important signalling pathways expressed in all major extant metazoan lineages32,33,34. Moreover, NET members interact with Groucho/TLE co-repressors7,12,15,18,19,21,26, which are found in all metazoan organisms35. These multiple interactions suggest that these families could co-operate in the embryonic development of most animals, explaining the conservation of the NET family across different taxonomic groups. The NET family members are also conserved in terms of gene structure, with most of them having two exons with a phase 0 intron in-between the coding sequence, which keeps codons intact. In addition, the codons that flank the phase 0 intron have a high degree of sequence conservation. This gene organization was most likely the structure of the NET ancestral gene. The conservation across different taxonomic groups suggests that NET genes may be under constraint to maintain this arrangement.

Our analyses also recognized conserved regions in NET proteins across species. We identified 5 core protein domains present in the NET proteins of all metazoan species analysed (Sp, Btd box, C2H2 Zinc finger, RYHPY and Y-rich domains), which might be relevant elements of the protein’s structure and/or important regions for protein-protein interactions, subcellular localization or other important cellular processes. Although the functions of these protein domains in NET family members are not clearly understood, some studies have suggested that the Sp domain might have a role on transcriptional repression36 and the deletion of N-terminal sequences including the Sp domain leads to dominant negative Elbow proteins9. The function of the Btd box remains unknown, but it may be required for transcriptional activation28. The single C2H2 Zinc finger present in NET proteins is unlikely to make the NET proteins capable of binding DNA directly. It may instead mediate protein-protein interactions as described for other zinc fingers37. The zinc finger of Drosophila’s Elbow protein is crucial for its function because mutations in this domain transform the protein into a dominant-negative form9. The RYHPY and Y-rich domains are located in the C-terminal region of NET proteins, which is required for the nuclear localization of these transcriptional repressors12,15,19,21,26,38. Given that NET proteins lack a classical NLS21, the amino acid motifs present in the RYHPY and/or Y-rich domains could be responsible for NET localization. Moreover, we identified lineage-specific domains that might represent specific protein functions in some taxonomic groups. For example, the PY domain present in vertebrates is important for nuclear localization, though not essential21, while the FKPY motif seems to be relevant for binding to Groucho in insects7 but not in vertebrates15,19,21.

The phylogenetic relationships among NET family members showed that the two groups of paralogues (Elbow and NocA in Arthropoda and ZNF703 and ZNF503 in Chordata) form two similar well-supported distinct clades. We discovered that the NET family was expanded by independent gene duplications, which are important sources of genomic novelty and complexity39. Our analyses revealed that most species possess at least two different NET proteins. The gene duplications observed in Annelida (C. teleta), Mollusca (C. gigas and L. gigantea) and Arthropoda (T. urticae and L. polyphemus) were independent because the paralogues in each species are more similar between them than with the copies of other species. If a single duplication had occurred prior to the separation of these taxonomic groups, one would expect two gene clusters each-one with all species and one for each gene copy. However, the clustering of duplicated genes in each species suggests their origin after speciation. The most likely molecular mechanism leading to new duplicates in these taxonomic groups was unequal crossing-over during homologous recombination generating tandem or closely located gene duplicates.

The duplication detected in arthropods generating the Elbow and NocA paralogues and in chordates generating the ZNF703 and ZNF503 paralogues occurred before speciation inside each group because the paralogues form distinct clusters with all species. In vertebrates, the molecular mechanism leading to the ZNF703 and ZNF503 duplicates was probably two rounds of WGD events known as 1 R and 2 R that occurred early during vertebrate evolution39,40,41. It was shown that the paralogons containing the ZNF703 and ZNF503 paralogues are the result of en bloc duplications that occurred after the protostomian-deuterostomian divergence and before the osteichthyian split42. In addition, the conserved synteny observed in the genomic regions surrounding each paralogue further supports the WGD hypothesis as the mechanism behind the origin of NET vertebrate paralogues. The duplications detected in the NET paralogues of fish species generating the Znf703a, Znf703b, Znf503a and Znf503b paralogues are most likely related to the fish-specific WGD event that occurred in the teleost lineage (3R), estimated to have occurred 226–350 million years ago41.

Overall, the results presented in this study will significantly contribute to understanding the regulatory and functional plasticity of NET proteins in metazoan evolution.


Identification of NET family protein sequences

A total of 165 complete NET protein sequences belonging to nine metazoan phyla were retrieved from the Ensembl (www.ensembl.org), NCBI (www.ncbi.nlm.nih.gov) and Joint Genome Institute (JGI) (http://genome.jgi.doe.gov/) databases. Sequences from different taxonomic groups were used as queries in TBLASTN or BLASTP searches against the NCBI (non-redundant protein sequences) and JGI (model proteins or filtered model proteins) databases to collect the maximum number of proteins. In the Ensembl database, all of the suggested orthologues of the human ZNF703 and ZNF503 proteins were retrieved. In order to have accurate multiple sequence alignments and reliable phylogenetic inferences, only complete protein sequences were further considered for the analyses. The proteins’ names, accession numbers and source organism (species) are listed in Supplementary Table S1. Proteins with no established designation were named with the species name or with the species name plus the protein accession number when more than one NET protein was present in the same species. Although the NET proteins in fish were previously named Nlz1 and Nlz2, here we used the designations Znf703 and Znf503 to reflect the nomenclature currently in use in all vertebrate species. Suffixes “a” and “b” were used to differentiate the duplicated Znf703 and Znf503 proteins found in some fish species.

Expression analysis

Samples from N. vectensis (specimen S13115, whole organism), C. teleta (specimen S13061, whole organism), L. gigantea (specimen S13017, foot and mantle), S. purpuratus (specimen S13034, gonad) and B. floridae (specimen S13045, whole organism) were obtained from the Ocean Genome Legacy (OGL) Database, The Ocean Genome Legacy Center of New England Biolabs, Northeastern University, U.S.A., published on the web at: http://www.northeastern.edu/marinescience/ogl/catalog/. Total RNA was extracted using the Illustra triplePrep kit (GE Healthcare) according to the manufacturer’s instructions. Total RNA from a human spinal cord tissue was obtained from the Human Total RNA Master Panel II (Clontech). To remove genomic DNA contamination from the RNA, 1 μg of total RNA was digested using 1U of DNase I (Fermentas) at 37 °C for 30 min followed by inactivation of the enzyme at 65 °C for 10 min in the presence of EDTA according to the manufacturer’s procedure.

Complementary DNA (cDNA) was synthesized from 1 μg of RNA using the RETROscript Reverse Transcription Kit (Ambion) with oligo(dT) primers (50 μM) according to the manufacturer’s instructions. Reverse-transcription PCR (RT-PCR) assays were prepared using 12.5 μL of HotStarTaq Master Mix Kit (Qiagen), 6% of DMSO (Fermentas), 0.4 μM of each NET species-specific primer (Supplementary Table S3), 7.5 μL of RNase-free water and 1.5 μL of cDNA in a final reaction volume of 25 μL. The amplification conditions comprised a touchdown PCR with an initial denaturation step of 15 min at 95 °C followed by 3 cycles of 30 s at 95 °C, 45 s at T1 and 2 min at 72 °C; 3 cycles of 30 s at 95 °C, 45 s at T2 and 2 min at 72 °C; 33 cycles of 30 s at 95 °C, 45 s at T3 and 3 min at 72 °C, and a final extension step of 10 min at 72 °C in a MyCycler thermocycler (Bio-Rad Laboratories). The T1-T2-T3 annealing temperatures for each primer pair are listed in Supplementary Table S3. The amplification products were visualized on 1% agarose gels, and the image acquisition was processed with Quantity-One 1-D Analysis Software Version 4.6.8 (Bio-Rad Laboratories). The RT-PCR products were purified with ExoSAP-IT (USB Corporation) by incubation at 37 °C for 15 min followed by enzyme inactivation at 85 °C for 15 min. The resulting purified fragments were sequenced in a ABI Prism 3130XL Sequencer (Applied Biosystems) using NET species-specific primers (Supplementary Table S3) and a protocol previously described43.

Sequence alignments and phylogenetic analyses

Three multiple-sequence alignments were performed using the default settings of the MUSCLE 3.6 software44 implemented in Geneious v5.5 (http://www.geneious.com)45: (1) all NET proteins sequences (n = 165); (2) arthropod NET proteins (n = 55) plus a sequence of S. purpuratus (Echinodermata) as an outgroup and (3) chordate NET proteins (n = 81). The best amino acid substitution models for the phylogenetic analyses were estimated from the alignments using ProtTest 3.4.2 software46 with a gamma distribution with four rate categories. The VT+I+G+F model was selected to build the phylogenetic trees using the alignments with all sequences and with arthropod sequences. The JTT+G+F model was used for the chordate phylogeny. Bayesian analyses were performed with MrBayes v3.2.6 software47,48 running on the CIPRES Science Gateway49. The Metropolis-coupled Markov chain Monte Carlo process was set such that two independent chains ran simultaneously until reaching an average standard deviation of split frequencies of 0.01, suggesting convergence on a stationary distribution. The analyses reached 3,880,000 generations for the tree with all sequences, 1,540,000 for arthropods and 2,710,000 for chordates. A burn-in value of 0.25 was applied. Trees were edited in FigTree v1.4.2 (http://tree.bio.ed.ac.uk/software/figtree/).

Synteny analysis

Synteny of the genomic regions surrounding ZNF703 and ZNF503 genes was determined in human (Homo sapiens), mouse (Mus musculus), cow (Bos taurus), dog (Canis familiaris), green anole (Anolis carolinensis) and Western clawed frog (Xenopus tropicalis) genomes using the CHSminer 1.1 software50. The synteny and locations tools of the Ensembl genome browser were used to infer the synteny in zebrafish (Danio rerio), tetraodon (Tetraodon nigroviridis), stickleback (Gasterosteus aculeatus) and medaka (Oryzias latipes) genomes.

Additional Information

How to cite this article: Pereira, F. et al. Evolution of the NET (NocA, Nlz, Elbow, TLP-1) protein family in metazoans: insights from expression data and phylogenetic analysis. Sci. Rep. 6, 38383; doi: 10.1038/srep38383 (2016).

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.


  1. Nakamura, M., Runko, A. P. & Sagerstrom, C. G. A novel subfamily of zinc finger genes involved in embryonic development. Journal of Cellular Biochemistry 93, 887–895 (2004).

    CAS  Google Scholar 

  2. Holland, D. G. et al. ZNF703 is a common Luminal B breast cancer oncogene that differentially regulates luminal and basal progenitors in human mammary epithelium. EMBO Mol. Med 3, 167–180 (2011).

    CAS  PubMed  PubMed Central  Google Scholar 

  3. Sircoulomb, F. et al. ZNF703 gene amplification at 8p12 specifies luminal B breast cancer. EMBO Mol. Med 3, 153–166 (2011).

    CAS  PubMed  PubMed Central  Google Scholar 

  4. Yang, G. et al. ZNF703 acts as an oncogene that promotes progression in gastric cancer. Oncology reports 31, 1877–1882 (2014).

    CAS  Google Scholar 

  5. Davis, T., Trenear, J. & Ashburner, M. The molecular analysis of the el-noc complex of Drosophila melanogaster. Genetics 126, 105 (1990).

    CAS  PubMed  PubMed Central  Google Scholar 

  6. Cheah, P. Y. et al. The Drosophila L(2)35Ba/Noca Gene Encodes A Putative Zn Finger Protein Involved in the Development of the Embryonic Brain and the Adult Ocellar Structures. Molecular and Cellular Biology 14, 1487–1499 (1994).

    CAS  PubMed  PubMed Central  Google Scholar 

  7. Dorfman, R., Glazer, L., Weihe, U., Wernet, M. F. & Shilo, B. Z. Elbow and Noc define a family of zinc finger proteins controlling morphogenesis of specific tracheal branches. Development 129, 3585–3596 (2002).

    CAS  Google Scholar 

  8. Weihe, U., Dorfman, R., Wernet, M. F., Cohen, S. M. & Milan, M. Proximodistal subdivision of Drosophila legs and wings: the elbow-no ocelli gene complex. Development 131, 767–774 (2004).

    CAS  Google Scholar 

  9. Wernet, M. F. et al. Genetic Dissection of Photoreceptor Subtype Specification by the Drosophila melanogaster Zinc Finger Proteins Elbow and No ocelli. PLoS genetics 10, e1004210 (2014).

    PubMed  PubMed Central  Google Scholar 

  10. Zhao, X. J., Yang, Y., Fitch, D. H. A. & Herman, M. A. TLP-1 is an asymmetric cell fate determinant that responds to Wnt signals and controls male tail tip morphogenesis in C-elegans. Development 129, 1497–1508 (2002).

    CAS  Google Scholar 

  11. Andreazzoli, M., Broccoli, V. & Dawid, I. B. Cloning and expression of noz1, a zebrafish zinc finger gene related to Drosophila nocA. Mech. Dev 104, 117–120 (2001).

    CAS  Google Scholar 

  12. Runko, A. P. & Sagerstrom, C. G. Isolation of nlz2 and characterization of essential domains in Nlz family proteins. Journal of Biological Chemistry 279, 11917–11925 (2004).

    CAS  Google Scholar 

  13. Brown, J. D. et al. Expression profiling during ocular development identifies 2 Nlz genes with a critical role in optic fissure closure. Proc. Natl. Acad. Sci. USA 106, 1462–1467 (2009).

    ADS  CAS  Google Scholar 

  14. McGlinn, E. et al. Expression of the NET family member Zfp503 is regulated by hedgehog and BMP signaling in the limb. Dev. Dyn 237, 1172–1182 (2008).

    CAS  Google Scholar 

  15. Ji, S. J., Periz, G. & Sockanathan, S. Nolz1 is induced by retinoid signals and controls motoneuron subtype identity through distinct repressor activities. Development 136, 231–240 (2009).

    CAS  Google Scholar 

  16. Chang, C. W. et al. Identification of a developmentally regulated striatum-enriched zinc-finger gene, Nolz-1, in the mammalian brain. Proc. Natl. Acad. Sci. USA 101, 2613–2618 (2004).

    ADS  CAS  Google Scholar 

  17. Hoyle, J., Tang, Y. P., Wiellette, E. L., Wardle, F. C. & Sive, H. nlz gene family is required for hindbrain patterning in the zebrafish. Developmental Dynamics 229, 835–846 (2004).

    CAS  Google Scholar 

  18. Nakamura, M., Choe, S. K., Runko, A. P., Gardner, P. D. & Sagerstrom, C. G. Nlz1/Znf703 acts as a repressor of transcription. BMC Developmental Biology 8, 108 (2008).

    PubMed  PubMed Central  Google Scholar 

  19. Runko, A. P. & Sagerstrom, C. G. Nlz belongs to a family of zinc-finger-containing repressors and controls segmental gene expression in the zebrafish hindbrain. Developmental Biology 262, 254–267 (2003).

    CAS  Google Scholar 

  20. Urbán, N. et al. Nolz1 promotes striatal neurogenesis through the regulation of retinoic acid signaling. Neural Dev 5, 21 (2010).

    PubMed  PubMed Central  Google Scholar 

  21. Pereira-Castro, I. et al. Characterization of human NLZ1/ZNF703 identifies conserved domains essential for proper subcellular localization and transcriptional repression. J. Cell Biochem 114, 120–133 (2013).

    CAS  Google Scholar 

  22. Garcia, M. J. et al. A 1 Mb minimal amplicon at 8p11-12 in breast cancer identifies new candidate oncogenes. Oncogene 24, 5235–5245 (2005).

    CAS  Google Scholar 

  23. Melchor, L. et al. Genomic analysis of the 8p11-12 amplicon in familial breast cancer. International Journal of Cancer 120, 714–717 (2007).

    CAS  Google Scholar 

  24. Ray, M. E. et al. Genomic and expression analysis of the 8p11-12 amplicon in human breast cancer cell lines. Cancer Research 64, 40–47 (2004).

    CAS  Google Scholar 

  25. Yang, Z. Q., Streicher, K. L., Ray, M. E., Abrams, J. & Ethier, S. P. Multiple interacting oncogenes on the 8p11-p12 amplicon in human breast cancer. Cancer research 66, 11632–11643 (2006).

    CAS  Google Scholar 

  26. Slorach, E. M., Chou, J. & Werb, Z. Zeppo1 is a novel metastasis promoter that represses E-cadherin expression and regulates p120-catenin isoform expression and localization. Genes Dev 25, 471–484 (2011).

    CAS  PubMed  PubMed Central  Google Scholar 

  27. Jaillon, O. et al. Genome duplication in the teleost fish Tetraodon nigroviridis reveals the early vertebrate proto-karyotype. Nature 431, 946–957 (2004).

    ADS  Google Scholar 

  28. Athanikar, J. N., Sanchez, H. B. & Osborne, T. F. Promoter selective transcriptional synergy mediated by sterol regulatory element binding protein and Sp1: a critical role for the Btd domain of Sp1. Molecular and cellular biology 17, 5193–5200 (1997).

    CAS  PubMed  PubMed Central  Google Scholar 

  29. Wimmer, E. A., Jäckle, H., Pfeifle, C. & Cohen, S. M. A Drosophila homologue of human Sp1 is a head-specific segmentation gene. Nature 366, 690–694 (1993).

    ADS  CAS  Google Scholar 

  30. Turbeville, J., Schulz, J. R. & Raff, R. A. Deuterostome phylogeny and the sister group of the chordates: evidence from molecules and morphology. Molecular Biology and Evolution 11, 648–655 (1994).

    CAS  Google Scholar 

  31. Luque, C. M. & Milán, M. Growth control in the proliferative region of the Drosophila eye–head primordium: The elbow–noc gene complex. Developmental biology 301, 327–339 (2007).

    CAS  Google Scholar 

  32. Adamska, M. et al. Wnt and TGF-beta expression in the sponge Amphimedon queenslandica and the origin of metazoan embryonic patterning. PLoS One 2, e1031–e1031 (2007).

    ADS  PubMed  PubMed Central  Google Scholar 

  33. Guder, C. et al. The Wnt code: cnidarians signal the way. Oncogene 25, 7450–7460 (2006).

    CAS  Google Scholar 

  34. Lapébie, P. et al. WNT/beta-catenin signalling and epithelial patterning in the homoscleromorph sponge Oscarella. PLoS One 4, e5823 (2009).

    ADS  PubMed  PubMed Central  Google Scholar 

  35. Courey, A. J. & Jia, S. Transcriptional repression: the long and the short of it. Genes & development 15, 2786–2796 (2001).

    CAS  Google Scholar 

  36. Murata, Y., Kim, H. G., Rogers, K. T., Udvadia, A. J. & Horowitz, J. M. Negative regulation of Sp1 trans-activation is correlated with the binding of cellular proteins to the amino terminus of the Sp1 trans-activation domain. Journal of Biological Chemistry 269, 20674–20681 (1994).

    CAS  Google Scholar 

  37. Brayer, K. J. & Segal, D. J. Keep your fingers off my DNA: protein–protein interactions mediated by C2H2 zinc finger domains. Cell biochemistry and biophysics 50, 111–131 (2008).

    CAS  Google Scholar 

  38. Shahi, P. et al. The transcriptional repressor ZNF503/Zeppo2 promotes mammary epithelial cell proliferation and enhances cell invasion. Journal of Biological Chemistry 290, 3803–3813 (2015).

    CAS  Google Scholar 

  39. Ohno, S. Evolution by gene duplication. (Springer, 1970).

  40. Panopoulou, G. & Poustka, A. J. Timing and mechanism of ancient vertebrate genome duplications–the adventure of a hypothesis. Trends in Genetics 21, 559–567 (2005).

    CAS  Google Scholar 

  41. Van de Peer, Y., Maere, S. & Meyer, A. The evolutionary significance of ancient genome duplications. Nature Reviews Genetics 10, 725–732 (2009).

    CAS  Google Scholar 

  42. Vienne, A., Rasmussen, J., Abi-Rached, L., Pontarotti, P. & Gilles, A. Systematic phylogenomic evidence of en bloc duplication of the ancestral 8p11. 21–8p21. 3-like region. Molecular biology and evolution 20, 1290–1298 (2003).

    CAS  Google Scholar 

  43. van Asch, B., Pereira-Castro, I., Rei, F. & da Costa, L. T. Mitochondrial haplotypes reveal olive fly (Bactrocera oleae) population substructure in the Mediterranean. Genetica 140, 181–187 (2012).

    Google Scholar 

  44. Edgar, R. C. MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinformatics 5, 113 (2004).

    PubMed  PubMed Central  Google Scholar 

  45. Kearse, M. et al. Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 28, 1647–1649 (2012).

    PubMed  PubMed Central  Google Scholar 

  46. Darriba, D., Taboada, G. L., Doallo, R. & Posada, D. ProtTest 3: fast selection of best-fit models of protein evolution. Bioinformatics 27, 1164–1165 (2011).

    CAS  PubMed  PubMed Central  Google Scholar 

  47. Huelsenbeck, J. P. & Ronquist, F. MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics 17, 754–755 (2001).

    CAS  PubMed  Google Scholar 

  48. Ronquist, F. & Huelsenbeck, J. P. MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 19, 1572–1574 (2003).

    CAS  PubMed  Google Scholar 

  49. Miller, M. A., Pfeiffer, W. & Schwartz, T. Creating the CIPRES Science Gateway for inference of large phylogenetic trees. Proceedings of the Gateway Computing Environments Workshop (GCE), 1–8 (2010).

  50. Wang, Z., Ding, G., Yu, Z., Liu, L. & Li, Y. CHSMiner: a GUI tool to identify chromosomal homologous segments. Algorithms Mol Biol 4 (2009).

Download references


We are thankful to Timery S. DeBoer from The Ocean Genome Legacy (OGL) for providing samples. This work was supported by the Portuguese Foundation for Science and Technology (FCT) [IF/01356/2012 to FP, PTDC/BIA-PRO/099888/2008 (POFC/QREN COMPETE FCOMP-01-0124-FEDER-009029) to RMS, Ciência2008-ICAAM and POCTI/CBO/48218/2002 to LTdC, SFRH/BPD/107901/2015 to IP-C]; and was partially funded by National Funds through the FCT, in the context of the project UID/CEC/00127/2013.

Author information




I.P.-C. and L.T.C. conceived, designed and supervised the work; F.P. carried out the phylogenetic analyses; S.D.-P., R.M.S. and I.P.-C. performed experiments; F.P. and I.P.-C. analysed the data and wrote the paper. All authors have reviewed the manuscript.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Electronic supplementary material

Rights and permissions

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Pereira, F., Duarte-Pereira, S., Silva, R. et al. Evolution of the NET (NocA, Nlz, Elbow, TLP-1) protein family in metazoans: insights from expression data and phylogenetic analysis. Sci Rep 6, 38383 (2016). https://doi.org/10.1038/srep38383

Download citation

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing