Abstract
Simple Summary
The human genome is not human at all, but it includes a multitude of sequences inherited from ancient viral infections that affected primates’ germ line. These elements can be seen as the fossils of now-extinct retroviruses, and are called Human Endogenous Retroviruses (HERVs). View as “junk DNA” for a long time, HERVs constitute 4 times the amount of DNA needed to produce all cellular proteins, and growing evidence indicates their crucial role in primate brain evolution, placenta development, and innate immunity shaping. HERVs are also intensively studied for a pathological role, even if the incomplete knowledge about their exact number and genomic position has thus far prevented any causal association. Among possible relevant HERVs, the HERV-K supergroup is of particular interest, including some of the oldest (HML5) as well as youngest (HML2) integrations. Among HERV-Ks, the HML7 group still lack a detailed description, and the present work thus aimed to identify and characterize all HML7 elements in the human genome. Results showed that the HML7 group includes 23 elements and an additional 160 “scars” of past infection that invaded in primates mostly between 20 and 30 million years ago, providing an exhaustive background to study their impact on human pathophysiology.
Abstract
Endogenous Retroviruses (ERVs) are ancient relics of infections that affected the primate germ line and constitute about 8% of our genome. Growing evidence indicates that ERVs had a major role in vertebrate evolution, being occasionally domesticated by the host physiology. In addition, human ERV (HERV) expression is highly investigated for a possible pathological role, even if no clear associations have been reported yet. In fact, on the one side, the study of HERV expression in high-throughput data is a powerful and promising tool to assess their actual dysregulation in diseased conditions; but, on the other side, the poor knowledge about the various HERV group genomic diversity and individual members somehow prevented the association between specific HERV loci and a given molecular mechanism of pathogenesis. The present study is focused on the HERV-K(HML7) group that—differently from the other HERV-K members—still remains poorly characterized. Starting from an initial identification performed with the software RetroTector, we collected 23 HML7 proviral insertions and about 160 HML7 solitary LTRs that were analyzed in terms of genomic distribution, revealing a significant enrichment in chromosome X and the frequent localization within human gene introns as well as in pericentromeric and centromeric regions. Phylogenetic analyses showed that HML7 members form a monophyletic group, which based on age estimation and comparative localization in non-human primates had its major diffusion between 20 and 30 million years ago. Structural characterization revealed that besides 3 complete HML7 proviruses, the other group members shared a highly defective structure that, however, still presents recognizable functional domains, making it worth further investigation in the human population to assess the presence of residual coding potential.
Keywords: HERV, HERV-K, HML7, endogenous retroviruses, retrotransposons
1. Introduction
The sequencing of the human genome revealed that more than one half of it is constituted by transposable elements, among which LTR-retrotransposons—also called Human Endogenous Retroviruses (HERVs)—make up ~8% of our genetic material. Far from being only “junk DNA,” HERV sequences are progressively revealing their contribution to the host physiology. Besides the known cooption of (H)ERV envelope proteins to serve placenta development and homeostasis in eutherian mammals [1,2,3,4], growing evidence indicates that HERV integrations are important drivers of genomic innovation and had a pivotal role in the evolution and shaping of entire transcriptional networks, including major innate immunity pathways [5,6,7]. Such an impact on the host biology prompted also the investigation of HERV contribution to diverse diseased conditions, trying to link the various HERV groups’ expression to human pathogenesis. However, to date, no clear association between the expression of specific HERV loci and disease development has been established, and this is in part due to an incomplete knowledge of HERV abundance and diversity at the genomic level, which prevents the study of individual HERV loci expression and its effects on the host [8,9]. In fact, HERV cataloguing is still ongoing and presents some confusion, especially due to the use of a variable nomenclature and classification criteria not always based on precise taxonomical rules [10]. One of the most recent attempts of global classification has been performed with the software RetroTector, which scans vertebrate genomes searching for conserved retroviral motifs that are then evaluated to reconstruct the individual proviral insertions [11]. The latter are subsequently classified through a multiple approach based on taxonomical relationships and taking into account proviral integrity and composition by similarity image analysis [11]. In particular, RetroTector exploration of the human genome assembly GRCh37/hg19 led to the identification of 31 canonical HERV groups plus additional 39 non-canonical ones that revealed high degrees of mosaicism due to recombination or secondary integration events [12]. Importantly, such RetroTector-based classification can be used as a starting point for the deep characterization of individual HERV group of interest, which can possibly include additional members previously missed due to their structural incompleteness or accumulation of mutations affecting key retroviral motifs. In fact, while some HERV groups have been described in great detail (see for instance HERV-W [13,14] and HERV-H [15]), most of them are still poorly known in terms of total members, genomic distribution, and nucleotide structure. Overall, the best characterized class of HERV is surely Class II, which includes betaretrovirus-like elements currently divided into 10 groups named HML (Human MMTV-like) from 1 to 10 due to their identity to exogenous Mouse Mammary Tumor Virus (MMTV). Among HML groups, the best-described one is HML2, for which a full genomic characterization has been provided [16], revealing a prolonged activity in primates that led even to human-specific integrations polymorphic in the different populations [17]. Such an accurate knowledge of HML2 members supported the study of their possible role in a number of human pathologies, including various cancers and neurological diseases [18], making this group the most investigated in human disorders. Similarly, dedicated works of classification have been performed for HML1 [19], HML3 [20], HML4 [21], HML5 [22], HML6 [23], HML9 [19], and HML10 [24,25] groups. Contrarily, HML7 and HML8 elements still remain poorly characterized. In particular, the only data regarding HML7 elements come from a recent study investigating the overall differential expression of repetitive elements in the transcriptome of patients with lung cancer for biomarker identification purposes [26]. In the study, participants were divided into patients who developed lung adenocarcinoma (LUAD) and patients who have developed small cell lung cancer (SCLC). The analysis showed a significant upregulation of the inner portion of HML-7 elements (known as HERVK11D-int) specific to LUAD but not found in SCLC patients [26]. Importantly, the study evaluated the whole group modulation, i.e., without any information about the individual HML7 member expression. Aside from this result, no other information is available regarding the HML7 group composition and diffusion to date, and this prevents an exhaustive understanding of its single members’ expression in both healthy and diseased tissues. The present study has hence aimed for the comprehensive classification of the HML7 integrations present in the human genome, analyzing their context of insertion, proviral structure, and phylogenetic composition. In addition, the combination of time of integration estimation and comparative identification in the genome of non-human primates allowed us to provide a precise picture of the group dynamics of colonization of the primate lineages. Overall, results have finally clarified the composition of this hitherto poorly known HERV-K group, providing an exhaustive background for subsequent functional studies to assess their coding potential and the impact of individual HML7 loci expression on the host biology.
2. Materials and Methods
2.1. Identification of HML7 Loci and Solitary LTRs in Human Genome Assembly GRCh38/hg38
To collect the HML7 proviral integrations present into the human genome, we started from the 14 HML7 loci already identified in our previous work of global classification, performed with the software RetroTector [11] and aimed to the identification of the most intact HERV loci in the human genome [12]. To confirm their localization in hg38 genome assembly and identify eventual other HML7 loci, we performed a BLAT search in UCSC Genome Browser [27], using as a query the HML7 proviral reference MER11D-HERVK11D-MER11D as assembled from the Dfam database [28]. The identified genomic positions were then compared to RepeatMasker annotations and downloaded with 5′ and 3′ flanking sequences of 500 nucleotides each for the alignment with respect to the proviral reference, to assure their completeness for subsequent analyses. Similarly, HML7 solitary LTRs have been identified through BLAT searches in Genome Browser hg38 assembly with MER11D LTR reference and collected after the exclusion of the LTRs known to be associated to the proviral sequences identified in the previous step. In this case, the presence of the internal proviral portion has also been excluded through the download of sequences with 5′ and 3′ flankings of 500 nucleotides each, and their alignment with respect to the reference. All alignments were performed with MAFFT algorithms FFT-NS-I x1000 and G-INS-i [29] on Geneious Prime software, version 2020.1.1 (Biomatters Ltd., Auckland, New Zealand).
2.2. Genomic Distribution and Context of Integration
Once identified, we estimated the expected distribution of the HML-7 loci in each chromosome using the formula
e = Cl ∗ n/Tl | (1) |
where e represents the number of integrations expected in the chromosome, Cl is the length of the chromosome, n is the total number of HML7 loci in the human genome, and Tl is the sum of all chromosomes’ length. Considering the relatively low number of HML-7 proviruses (n = 23), the analysis was conducted taking into account also the integrations that have later been converted into solitary LTRs (n = 160). The variation of the expected integrations as compared to the observed ones was calculated for each chromosome with the chi-square test, and its statistical significance was estimated through the p-value.
We also assessed each HML7 locus context of integration, identifying the proviral sequences that were colocalized with cellular genes by intersecting their coordinates with the annotations of Gencode [30]. The obtained results were then visually inspected on Genome Browser, to evaluate the position of the HERV sequences with respect to the colocalized gene’s introns and exons.
2.3. Structural Characterization
HML7 loci have been aligned to the proviral reference sequence MER11D-HERVK11D-MER11D to annotate the position of LTRs and retroviral genes and to evaluate their integrity. Alignments have been performed and analyzed on the Geneious platform, as described above. All insertions and deletions with respect to the reference have been annotated, and the individual HML7 loci coding potential and functional domains have been evaluated using the software RetroTector [11] and NCBI Conserved Domains tool [31].
2.4. Phylogenetic Analyses
All phylogenetic analyses were done with MEGA-X software, version 10.1 [32,33]. Maximum likelihood trees were built using the Kimura 2-parameter model, and phylogenies have been statistically tested using the bootstrap method with 100 replicates. Neighbor joining trees were built with p-distance method applying the pairwise deletion option, and phylogenies were tested with 1000 bootstrap repetitions. In addition to the HML7 sequences found in the human genome and the group reference sequence as assembled from Dfam (MER11D-HERVK11D-MER11D), the alignment used to generate the trees included the Dfam references of the other HML groups (HML1 to 10). Alignments have been performed with MAFFT algorithms FFT-NS-I x1000 and G-INS-i [29] on Geneious Prime software, version 2020.1.1 (Biomatters Ltd., Auckland, New Zealand), and were visually inspected prior to phylogenetic analyses. The extraction of proviral subportions (e.g., to generate the trees of LTRs or individual retroviral genes) was made with Geneious software, taking into account nucleotide coordinates indicated by Dfam for each viral gene in HERVK11D reference: gag (~162–2027), pro (~1985–3032), pol (~3113–5590), env (~5804–7750).
2.5. Estimation of HML7 Loci Time of Integration
The integration time of HML7 elements has been estimated using the formula
T = D/0.2% | (2) |
which considers the coevolution of HML7 loci with the host DNA, applying a spontaneous substitution rate equal to the one of the human genome (0.2% mutations per nucleotide per million years) to the percentage of divergent nucleotides (D) of each HML7 locus with respect to a reference (that represents ideally the ancestral sequence). In particular, the divergence has been calculated: (1) for the nucleotide sequences of individual retroviral genes and LTRs with respect to a consensus sequence generated by the alignment of all members of the group, and (2) between the two LTRs of the same provirus, which are identical at the time of integration and then accumulate mutations according to the host genome substitution rate. In the latter case, the obtained T values were then divided by 2, considering that each LTR of the same provirus accumulated mutations independently after the integration. The divergence values were estimated with MEGA-X [32], using the pairwise deletion option and excluding Cpg dinucleotides, known to be subjected to hypermutation. The final estimated age of HML7 sequences was expressed as the average value of those obtained with the different approaches, excluding values with a standard deviation >20%.
To confirm the results obtained, the presence of each HML7 sequence was assessed in non-human primates’ genome assemblies through comparative genomic annotations available on UCSC Genome Browser, in order to identify the oldest common ancestor (O.C.A). In particular, starting from the coordinates in the human genome, each HML7 locus has been searched in primate species from both Catarrhini (chimpanzee, gorilla, orangutan, gibbon, rhesus macaque) and Platyrrhini (marmoset, squirrel monkey) parvorders, using the genomic flanking sequences to assure the actual correspondence.
3. Results
3.1. Identification of HML7 Loci in Human Genome Assembly GRCh38/hg38
The BLAT search conducted in UCSC Genome Browser [24] human genome assembly 38 (hg38) using the HML7 Dfam reference MER11D-HERVK11D-MER11D as a query led to the coordinates of various hits, which were extracted in FASTA format through the Table Browser tool, including 5′ and 3′ flanking sequences of 500 nucleotides each. The obtained sequences were then compared by multiple alignments to the reference, to exclude elements with a low level of identity (<90%) and to assure their completeness for subsequent analyses. Using this methodology, we identified a total of 23 HML7 sequences, 14 of which were originally included in our first work of HERV global classification, as performed with the software RetroTector [12] (Table 1). Each HML7 element has been designated with a unique name, corresponding to the genomic locus of insertion (Table 1). In addition, an analogous BLAT search using as a query MER11D LTR has allowed to detect about 160 HML7 solitary LTRs, resulting from the recombination between the two LTR of the same provirus, and the consequent removal of the inner portion (Supplementary File S1).
Table 1.
Locus 1 | Strand | Coordinates | Age (Milion Years) | o.c.a 2 | Reference |
---|---|---|---|---|---|
1q43 | + | 242457056–242460436 | 22.9 | orangutan | Vargiu et al. |
2q11.2 P | + | 101237831–101245098 | 32.3 | rhesus | Vargiu et al. |
2q31.1 | − | 170615659–170619450 | 24.3 | gibbon | this study |
3q11.2 P | + | 94647178–94651193 | 46.9 | gibbon | Vargiu et al. |
3q23 | + | 142206726–142207843 | 29.9 | gibbon | this study |
3q26.1 | + | 165546697–165548895 | 37.0 | gibbon | this study |
4q25 | − | 109855914–109859920 | 27.9 | gibbon | Vargiu et al. |
4q32.1 | − | 160255828–160257162 | 22.0 | gibbon | this study |
5p13.2 | − | 34460957–34468537 | 29.8 | rhesus * | Vargiu et al. |
5q22.3 | − | 114142954–114150230 | 29.3 | gibbon | Vargiu et al. |
6p12.3 | − | 49501277–49508842 | 29.3 | rhesus * | Vargiu et al. |
6q22.31 | + | 121042084–121049347 | 26.6 | gibbon | Vargiu et al. |
7q21.12 | − | 87732402–87733417 | 40.0 | gibbon | this study |
7q36.2 | − | 153843398–153844485 | 31.0 | gibbon | this study |
11p12 | − | 43161738–43168627 | 18.1 | orangutan (gorilla *) |
Vargiu et al. |
11q14.3 | − | 92943568–92950131 | 26.4 | gibbon | Vargiu et al. |
12q12 P | + | 38122838–38130125 | 36.4 | gorilla | Vargiu et al. |
15q24.3 | + | 76639167–76641589 | 24.3 | gibbon | this study |
19q13.2 | − | 42712688–42713786 | 30.5 | gibbon | this study |
Xq11.1 C | − | 62707600–62717099 | - | gorilla ° | Vargiu et al. |
Xq22.3 | − | 105666188–105669044 | 22.0 | gibbon | this study |
Yq11.221 | − | 15973344–15982688 | 38.2 | gorilla * | Vargiu et al. |
Yp11.2 | − | 7952560–7961873 | 38.2 | chimp | Vargiu et al. |
1 HML7 elements integrated in pericentromeric and centromeric regions are indicated with a P and a C, respectively. 2 Oldest Common Ancestor: HML7 loci converted into a solitary LTR during primate speciation (*) or lacking an orthologue in intermediate primate species (°) are also indicated.
3.2. HML7 Loci Are Not Randomly Distributed among Human Chromosomes
Once identified, we assessed whether the HML7 integrations present in the human genome are randomly distributed in the various chromosomes or show instead some biases as compared to the expected frequency. To this purpose, given the relatively low number of HML7 intact proviruses, we also took into account the ancestral integrations that have undergone LTR-LTR recombination, and hence found currently as solitary LTRs. For each chromosome, we conducted a chi-square test comparing the observed number of HML7 integrations with the expected one. Briefly, the number of expected integrations in each chromosome has been obtained considering its length, the total number of HML7 loci in the human genome and the sum of all human chromosomes’ length. This number was then compared to the actual number of HML7 integrations through the chi-square test, and the statistical significance of the observed variation was tested through p-value calculation (Figure 1). Results showed a significant enrichment of HML7 insertions in chromosome X (where the expected insertions were 9 while the actual ones include 17 solitary LTR plus 2 proviruses); while chromosome 15 held fewer HML7 sequences than the 6 expected (only 1 provirus and no solitary LTRs) (p < 0.005 and p < 0.05, respectively) (Figure 1). In addition, chromosome 20 showed no HML7 elements, neither proviruses nor solitary LTRs (Figure 1).
We then characterized each HML7 provirus’ context of integration, to assess its colocalization with cellular genes (Table 2). Among the 23 HML7 proviruses present in the human genome, 11 (48%) are integrated into human genes. Of these, all show an intronic localization and are found in antisense orientation with respect to the surrounding gene, except for one element (3q26.1) which results in the same direction of a gene producing a long intergenic non-protein coding RNA (LINC01322) (Table 2). As reported in the table, the majority of cellular genes colocalized with HML7 proviruses are known to be associated with human disorders.
Table 2.
HML7 Locus |
Colocalized Gene Info | ||||
---|---|---|---|---|---|
Name | Portion | Description | Function | Associated Diseases | |
1q43 (+) |
PLD5 (−) |
intronic, antisense |
Phospholipase D family member 5 | Hydrolyzes phosphatidylcholine | Type 7 nephrotic syndrome; hemopneumothorax |
2q31.1 (−) |
MYO3B (+) |
intronic, antisense |
Myosin IIIB | Probable actin-based ATPase with protein kinase activity. Required for normal cochlear development and hearing | Autosomal recessive deafness 30; entropion |
3q23 (+) |
GK5 (−) |
intronic, antisense |
Glycerol kinase 5 | Glycerol degradation, triacylglycerol biosynthesis | Type 1 Diabetes Mellitus 3 and 7 |
3q26.1 (+) |
LINC01322 (+) |
intronic, sense | long intergenic non-coding RNA 1322 | - | - |
4q25 (−) |
LRIT3 (+) |
intronic, antisense |
Leucine rich repeat Ig-Like transmembrane domains 3 | May regulate fibroblast growth factor receptors and affect their post-translational modification | Congenital stationary night blindness |
5q22.3 (−) |
KCNN2 (+) |
intronic, antisense |
Potassium calcium-activated channel subfamily N member 2 | Forms a voltage-independent potassium channel activated by intracellular calcium following membrane hyperpolarization | Lingual-facial-buccal dyskinesia and aceruloplasminemia |
6p12.3 (−) |
GLYATL3 (+) |
intronic, antisense |
Glycine-N-acyltransferase like 3 | Catalyzes the conjugation of long-chain fatty acyl-CoA thioester and glycine, an intermediate in primary fatty acid biosynthesis | - |
7q21.12 (−) |
RUNDC3B (+) |
intronic, antisense |
RUN domain-containing protein 3B | Encodes a predicted RAP2-interacting protein. May play a role in RAS-like GTPase signaling pathways | - |
7q36.2 (−) |
DPP6 (+) |
intronic, antisense |
dipeptidyl peptidase like 6, transcript variant 6 | Member of S9B family of serine proteases (without detectable activity). Promotes cell surface expression of KCND2 potassium channel and modulates its gating activity |
Autosomal dominant mental retardation; paroxysmal familial ventricular fibrillation |
15q24.3 (+) |
SCAPER (−) |
intronic, antisense |
S-phase cyclin A associated protein in the endoplasmic reticulum | Cyclin A/Cdk2 regulatory protein that transiently maintains cyclin A in the cytoplasm | Intellectual developmental disorder and retinitis pigmentosa; brachydactyly |
Xq22.3 (−) |
IL1RAPL2 (+) |
intronic, antisense |
Interleukin 1 receptor accessory protein like 2 | Orphan receptor in the IL1R superfamily | Cinca syndrome; Muckle-Wells syndrome |
The table shows in order: The locus of each HML7 and its strand, the name of the colocalized gene and its strand, the intronic/exonic and sense/antisense localization of the HML7 element, and the description of the gene product and its function. In the last column, the pathologies associated so far with each gene are also reported (source: OMIM database).
3.3. Structural Characterization
The prototype sequence for the HML7 group, as assembled from the reference sequences for LTR (MER11D) and the internal portion (HERVK11D) present in the Dfam database, shows a typical proviral structure, in which 5′ LTR and 3′ LTR (897 bp each) flank gag (from nucleotide 1056 to 2924), pro (from nucleotide 2882 to 3929), pol (from nucleotide 4010 to 6487), and env (from nucleotide 6701 to 8647) genes. In order to characterize the structure of the individual HML7 proviruses, the 23 HML7 elements have been aligned with the reference sequence, as previously annotated with the positions of the single retroviral components, and all insertions and deletions have been marked (Figure 2). In general, the analysis revealed a defective proviral structure for the majority of HML7 members, which had a mean length of 4958 bases against the 9546 of the group reference. Accordingly, various HML7 proviruses lack one LTR (8 out of 23), and the majority is affected by extended deletions in one or more retroviral genes (Figure 2). Among these structurally incomplete sequences, 5 are particularly defective, with a length lower than 2000 bp due to the loss of around 2/3 of the proviral sequence at the 5′ side (Figure 2). A recurrent deletion of particular interest is the one affecting gag and pro: in fact, 9 HML7 proviruses showed the loss of a portion of ~2.200 bp spanning the two genes (nucleotides 1760–3970), while other 11 have lost the whole gag–pro genic regions (and, in some instances, also parts of the pol and env genes), leaving only 3 sequences with a complete (Xq11.1, Yp11.2) or almost complete (Yq11.221) proviral structure as compared to the Dfam reference (Figure 2). Besides this deletion, other minor deletions have found to be recurrent in some HML7 proviruses, including the loss of ~200 bases in env (nucleotides 7484–7684, 4 sequences) and 23 bases in the LTRs (nucleotides 595 to 617 in MER11D, deleted in 10 5′- and 14 3′-LTR sequences, respectively).
Given their defective structure, we assessed the residual presence of viral genes’ Open Reading Frames (ORFs) as well as recognizable functional domains in HML7 proviruses through RetroTector software [12] and the NCBI-conserved domains tool [34] (Table 3). As expected, Gag functional domains have been lost in the majority of sequences except for the proviruses at loci Xq11.1, Yq11.221, and Yp11.2, which show residual signatures typical of matrix (MA), capsid (CA), and nucleocapsid (NC) proteins. However, also the 9 HML7 sequences with the above gag recurrent deletion (nucleotides 1760–3970) still hold the 5′ portion of the gene, retaining accordingly the sole MA domain (Table 3). The pro gene is indeed the most defective, presenting predicted protease domain (PR) only in the most intact HML7 elements (Xq11.1, Yq11.221, Yp11.2). According to the highest integrity of the proviral 3′ portion, domains belonging to pol (reverse transcriptase—RT, Ribonuclease H—RNase H/RH, and integrase—IN) and env (surface—SU, and transmembrane—TM glycoproteins) are more represented, being recognized in the majority of HML7 proviruses (Table 3). However, the occurrence of multiple internal stop codons and frameshift in the ORFs of even the most intact HML7 proviruses suggest that these elements could have lost the ability to produce functional proteins, at least based on their nucleotide sequence in the reference genome assembly (Table 3). In addition, we assessed the presence of some structural features typical of class II betaretroviruses, which therefore have taxonomical value [35]. Particularly, HERV-K groups are known to have two Gag NC Zinc-fingers as well as a dUTPase domain at the N-terminal of Pro. Accordingly, these features have been identified in the three proviruses that retained the harboring genes (Table 3). Other important taxonomical markers are the presence of a nucleotide compositional bias (likely reflecting the ancestral action of encapsidated host RNA editing enzymes) and the translational strategy adopted to produce differing amounts of the various retroviral proteins (that can be based either on ribosomal frameshifting—fs, nonsense codon readthrough or splicing) [35]. Regarding nucleotide bias, HERV-K groups are known to present an increase in AT nucleotides, and HML7 proviruses showed accordingly an enrichment of the AT composition (around 60% of bases) (Table 3). Concerning translational strategy, retroviruses adopt splicing for the env gene transcripts, while gag–pro and pro–pol boundaries are usually translated using either ribosomal readthrough (fs = 0) or frameshifting (fs = −1 or +1). In the case of HERV-K betaretroviruses, the propensity is to have the gag, pro, and pol in different reading frames separated by “−1” frameshifts (“−1/−1” pattern). However, the HML7 proviruses that maintained these ORFs showed a different strategy, adopting instead readthrough for the gag–pro boundary (“0/−1”) (Table 3).
Table 3.
gag | pro | pol | env | Translation | GC% | ||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HML7 Locus |
Shift | Stop | MA | CA | NC | NC ZnF |
Shift | Stop | PR | dUTPase | Shift | Stop | RT | RH | IN ZnB |
IN core | Shift | Stop | SU gp | TM hr | gag/pro Shift | pro/pol Shift |
|
1q43 | 6 | 7 | x | x | 1 | 1 | x | x | 39.6 | ||||||||||||||
2q11.2 | x | 3 | 1 | x | x | x | x | 5 | 5 | x | x | 40.6 | |||||||||||
2q31.1 | x | x | x | x | 38.8 | ||||||||||||||||||
3q11.2 | x | 6 | 2 | x | x | 41.1 | |||||||||||||||||
3q23 | x | x | 41.9 | ||||||||||||||||||||
3q26.1 | 39.0 | ||||||||||||||||||||||
4q25 | 6 | 8 | 1 | 5 | x | x | 39.2 | ||||||||||||||||
4q32.1 | x | x | x | 40.6 | |||||||||||||||||||
5p13.2 | x | 4 | 5 | x | x | x | 1 | 1 | x | x | 40.3 | ||||||||||||
5q22.3 | x | 8 | 4 | x | x | x | x | 9 | 1 | x | 40.2 | ||||||||||||
6p12.3 | x | 0 | 6 | x | x | x | 8 | 1 | 40.0 | ||||||||||||||
6q22.31 | x | 4 | 8 | x | x | x | x | 4 | 4 | x | x | 40.1 | |||||||||||
7q21.12 | 43.0 | ||||||||||||||||||||||
7q36.2 | 43.4 | ||||||||||||||||||||||
11p12 | x | x | x | x | x | 40.1 | |||||||||||||||||
11q14.3 | x | 1 | 1 | x | x | x | 1 | 5 | x | 40.3 | |||||||||||||
12q12 | x | 3 | 7 | x | x | x | x | 2 | 2 | x | x | 39.3 | |||||||||||
15q24.3 | x | x | 38.8 | ||||||||||||||||||||
19q13.2 | x | 40.3 | |||||||||||||||||||||
Xq11.1 | 1 | 11 | x | x | x | xx | 2 | 4 | x | x | 8 | 4 | x | x | x | x | 4 | 5 | x | x | 0 | −1 | 40.0 |
Xq22.3 | 39.7 | ||||||||||||||||||||||
Yq11.221 | 3 | 7 | x | x | x | xx | 0 | 3 | x | x | 3 | 7 | x | x | x | x | 6 | 5 | x | x | 0 | −1 | 39.6 |
Yp11.2 | 0 | 3 | x | x | x | xx | 2 | 2 | x | x | 11 | 8 | x | x | x | 7 | 7 | x | x | 0 | 0 | 40.0 |
The table reports the presence of the different retroviral open reading frames and the occurrence of internal stop codonsand frameshifts in the 14 most intact HML7 loci, as identified by RetroTector software (locus name in bold). For each HML7 provirus, the presence of functional domains and taxonomical signatures was also predicted and is indicated with the symbol “x.” Abbreviations not explained in the main text: ZnF = Zinc finger motif, ZnB = Zinc-binding domain, gp = glycoprotein, hr = heptad repeats, GC% = percentage of GC nucleotides.
3.4. Phylogenetic Analyses
In order to characterize the phylogenetic relationships within the HML7 group as well as the ones with respect to the other HERV-K HMLs, we performed a series of analyses using the maximum likelihood (ML) and the neighbor-joining (NJ) methods. As shown in the ML tree (Figure 3), all the 23 HML7 proviruses form a unique monophyletic cluster, including also the group reference from Dfam, supported by the maximum bootstrap value. Even if some HML7 sequences were clearly more divergent as compared to the rest of members (e.g., the one in locus Xq11.1), the analysis did not reveal any supported subcluster within the main phylogenetic group (Figure 3). Additional NJ phylogenetic analyses carried out on individual retroviral portions, i.e., proviral LTRs and individual genes, confirmed the global homogeneity of HML7 members and the absence of internal clusters (Supplementary File S2). Similarly, also the NJ analysis of HML7 solitary LTRs gave the same result (data not shown).
3.5. Estimation of HML7 Loci Time of Integration and Comparative Genomics
Based on the retroviral replication cycle, it is known that proviral LTRs are identical at the time of integration, and then start to accumulate random mutations independently due to the normal effect of the host genome substitution rate (0.2% substitutions/nucleotide/million year in the case of humans). Indeed, the nucleotide divergence accumulated between the two LTRs of the same provirus is generally used to roughly estimate the time that had passed since their insertion in the host DNA. This approach has however some relevant limitations—such as the assumption that all genomic sites of integrations and retroviral portions are subjected to the same, neutral substitution rate—and obviously excludes from the analysis those proviruses that have lost one or both LTRs [13]. For this reason, we employed a multiple approach of age estimation that includes the traditional LTR vs. LTR divergence as well as the divergence calculated for each proviral portion (i.e., individual LTR and gag–pro, pol and env gene regions) with respect to a consensus sequence generated considering all group members. The latter should take into account all the independent random substitutions accumulated in the various HML7 elements, thus representing the putative ancestral HML7 proviral sequence. The final age of each HML7 locus has hence been expressed as the mean value obtained from the different estimations (Table 1). Overall, results showed that the majority of HML7 elements found in the human genome (n = 13) have been integrated in the primate lineage between 20 and 35 million years ago (mya), having hence been presumably acquired by rhesus macaque and gibbon prior to their evolutionary divergence to subsequent species (which occurred around 30 and 20 mya, respectively) (Figure 4). To corroborate this estimation, we used comparative genomics to identify for each HML7 locus the correspondent orthologous integration in non-human primates’ genome assemblies until the first species that acquired that element. Results confirmed that the transposition activity of HML7 group started in the rhesus genome (3 first integrations) and had its major expansion during gibbon speciation (30 to 20 mya, 14 first integrations), showing then occasional insertional events in orangutan and gorilla (2 and 3 acquired loci, respectively) (Figure 4).
4. Discussion
In the present study, the combination of RetroTector analysis and BLAT searches in genome assembly hg38 was used to identify the HERV-K(HML7) integrations present in human DNA, providing the first exhaustive description of this group. Results showed that the human genome harbors a total of 23 HML7 sequences, i.e., 9 more than the ones originally included in our first work of global HERV classification [5] (Table 1). This discrepancy is easily explained by the highly defective structure of these elements, leading to the loss of those retroviral motifs recognized by RetroTector during HERV identification and classification [11]. In addition, our analysis identified about 160 HML7 solitary LTRs, as the result of past recombination between the two LTR of the same provirus, leading to the removal of the inner genic portion (Supplementary File S1). Hence, the ratio between proviral sequences and solitary LTRs for HML7 group is around 1:7, in line with the assumption that LTR-LTR recombination process has been highly efficient in evolution, since ~90% of HERV insertions are currently represented by solitary LTRs [36]. A similar proportion (1:9) has been reported also for HML2 elements, the most characterized among HERV-K groups [16]. Interestingly, chi-square analysis revealed that HML7 proviral and solitary LTR integrations are not randomly distributed among human chromosomes, showing significant enrichment in chromosome X (p < 0.005) and depletion in chromosome 15 (p < 0.05). Moreover, a remarkable proportion of HML7 proviruses (17%) were found to be integrated in centromeric (Xq11.1) or pericentromeric (2q11.2, 3q11.2, 12q12) chromosomal regions. A similar localization has been reported for a subset of HERV-K(HML2) sequences that are found at multiple loci across the centromeres and pericentromeres of several chromosomes, as the result of human-specific amplifications [37,38]. The same authors analyzed the genomic landscape of centromeres in cancer, reporting a general reduction in centromeric DNA. Particularly, both solid and hematologic tumors showed marked alterations in the copy number of centromeric and pericentromeric repeats, including the above HML2 sequences that were hypothesized to drive possible gene conversion events observed at various pericentromeric loci [39]. Hence, in subsequent studies analyzing the possible effect of HML7 elements on the host, particular attention should be dedicated to HML7 centromeric and pericentromeric integrations, also in terms of possible impact on chromosomes’ evolution and stability in modern human populations.
The possible impact of HERVs on the host genome depends not only on their chromosomal position but also on the surrounding genic environment. Accordingly, we evaluated each HML7 locus context of integration, since proviral insertions in the vicinity or within human genes are potentially capable of modifying their expression (especially if they are in the same orientation) [7]. For example, HERV LTRs can provide alternative regulatory signals including promoters, enhancers, transcription factor binding sites and splicing donors/acceptors. However, antisense integrations can modify the surrounding gene activity as well; LTR promoters are in fact bidirectional and expressed HERV RNA can complementarily bind genic transcripts and form dsRNA, leading to their degradation. All these possible effects on cellular gene function acted as a selective pressure, with the propensity to maintain HERV insertions found in intergenic regions or, in the case of intra-genic insertions, occurring at non-translated intronic portions. Among the 23 HML7 proviruses identified, 11 (48%) are integrated within human genes and—as expected—almost all show intronic localization and antisense orientation with respect to them. An exception is represented by HML7 locus 3q26.1, which is integrated in the same orientation of a gene annotated to produce a long intergenic non-protein coding RNA (LINC01322) with unknown function (Table 2). Even if this HML7 locus is highly defective, retaining only a small portion of 5′LTR, a partial env gene and the 3′LTR, it would be interesting to assess if it takes part to the production of this non-coding RNA.
Structural characterization with respect to the Dfam proviral reference sequence (9546 nucleotides) revealed that the majority of HML7 elements show a defective proviral structure, with a mean length of 4969 bases and the frequent loss of one LTR (8 out of 23) and extended portions of one or more retroviral genes (Figure 2). A recurrent deletion of particular interest is the 2.200 bp one affecting gag and pro, found in 9 HML7 proviruses, while other 11 have lost the whole gag–pro portion. The fact that Gag polyproteins play a central role in virion assembly, release, and infectivity—being sufficient for the formation of virus-like particles—may suggest that this genic portion has been lost after the endogenization process, which favors intragenomic spread instead of extracellular replication, as already reported for env genes [12]. This would also explain the concomitant loss of pro gene, whose product was no longer needed to cleave Gag precursors into the major structural proteins MA, CA, and NC. Although generally more intact, HML7 pol and env genes are also often interested by deletion events, including the loss of ~200 nucleotides in env (7484–7684, 4 sequences). Similarly, the recurrent loss of the same 23 bases has been observed in both proviral LTRs (nucleotides 595 to 617 in MER11D, deleted in 10 5′- and 14 3′-LTR sequences, respectively).
Overall, only 3 HML7 members (13%) retained a complete (Xq11.1, Yp11.2) or almost complete (Yq11.221) proviral structure. The fact that all were integrated in sexual chromosomes allows to speculate that they may have been subjected to less recombination and substitution events as compared to the other HML7 proviruses, maintaining a higher structural integrity. This would be in line with the fact that—in species with genetic sex-determination—sexual chromosomes have evolved non-recombining regions in which recombination has repeatedly become suppressed [40].
As expected from their general defective structure, the great majority of HML7 proviruses lost most of the functional domains normally predicted in retroviral sequences and, among the one with highest integrity as identified by RetroTector, none present intact ORFs due to the introduction of internal stop codons and frameshifts (Table 3). However, one should consider that these predictions were based on the proviral sequences identified in human genome assembly; it is hence possible that individual human genomes still hold HML7 loci with residual coding potential, deserving further investigations in transcriptomic data [41]. Concerning typical Class II structural features, as in the other HERV-K groups, HML7 elements also present two Gag NC Zinc-fingers as well as a dUTPase domain at the N-terminal of Pro. As expected, the compositional bias reported previously for the other HML groups [12,42] was confirmed also in HML7 proviral genomes, which shared an enrichment in AT content (around 60% of bases) and a consequent decrease in C and especially G nucleotides (22% and 18% in average, respectively) (Table 3). While it has been demonstrated that co-packaging of APOBEC cellular cytidine deaminase gives a bias for A in HIV genome—and probably acted on the genomes of several retrotransposons as well—the mechanisms behind the T bias are not so clear. The fact that the evolution of APOBEC3 antiviral defensive systems has been driven by the diffusion of ERV elements in mammalian genomes [43] make possible, however, the idea that ancestral retroviral elements were threatened by additional genome editing systems, leading to different compositional biases. HML7 elements indeed represented an exception in terms of translational strategy adopted to produce the needed amounts of the various retroviral proteins. In fact, HERV-K betaretroviruses show the propensity to have the gag, pro, and pol in different reading frames separated by “−1” frameshifts (“−1/−1” pattern) [12], while the HML7 proviruses that maintained these ORFs adopted readthrough for the gag–pro boundary (“0/−1”) (Table 3).
Phylogenetic analysis showed that HML7 proviruses as well as solitary LTRs form a unique monophyletic cluster, clearly divided from other HML groups and supported by the maximum bootstrap value. Despite such an absence of internal clusters, some HML7 sequences showed a divergent nucleotide sequence with respect to the other group members, which was particularly evident in locus Xq11.1, i.e., the only centromeric HML7 provirus (Table 1, Figure 3). Its highest divergence may indeed be linked to this localization at the chromosome X centromere. In fact, if on the one side sexual chromosomes are associated with a low recombination rate (as mentioned above), on the other side, rapid evolution is a known characteristic of repeated centromeric DNA that could have acted on this specific HML7 provirus as well, making it particularly divergent as compared to the others [44]. The same pressure could have led even to the loss of this HML7 element in some primate species, as observed in gorilla genome assembly (Table 1). In line with this general action dependent on its genomic localization, the same phylogenetic distance is found by analyzing the individual proviral portions (Supplementary File S2) and is thus unlikely to be due to single events of recombination or secondary insertions.
Concerning time of integration estimation, the traditional approach based on the divergence between the two LTRs of the same provirus was coupled with the comparison of each LTR and proviral gene with respect to a consensus sequence, allowing the inclusion, in the analysis, of not only the elements retaining both LTRs (8 out of 23), but also the other HML7 loci. The only HML7 element excluded from age estimation was the centromeric Xq11.1 locus, which gave unreliable results due to its divergent nucleotide structure. Results indicated the main period of HML7 diffusion to be comprised between 20 and 35 mya (13 elements, Figure 4). To corroborate this estimation, we relied on the comparative localization of each HML7 locus orthologue in non-human primates’ genome assemblies, until the first species that acquired that element (i.e., the oldest common ancestor, Table 1). Results confirmed that the transposition activity of the HML7 group started in the rhesus genome (3 first integrations) and had its major expansion during gibbon speciation (30 to 20 mya, 14 first integrations) (Figure 4). Of note, the presence of later occasional HML7 first insertions in the orangutan (2 loci) and gorilla (3 loci) genomes likely suggest and extended residual activity of the group (Figure 4).
5. Conclusions
Overall, the comprehensive characterization of the HML7 group composition, localization, and dynamics of diffusion in primates here presented provides for the first time an exhaustive genomic description of this poorly investigated group. This opens the field to the study of individual HML7 elements’ specific variation within human population, their residual transcriptional activity in the different tissues and—by consequence—their eventual modulation in diseased conditions, to unveil unknown contributions of the group to human evolution and physiopathology [41]. The latter can be multifaceted and are however the result of complex interactions with the different tissues/cellular systems rather than on a general mechanism of HERV activation. As a mere example, the HML7 locus 2q11.2 was found to be upregulated in human PBMC following innate immunity stimulation by a mimicked bacterial infection [45], while no modulation was observed in the presence of viral infections (HIV [46] and SARS-CoV-2, Grandi et al., unpublished data) or autoimmunity (multiple sclerosis—Grandi et al., unpublished data). This and many other pieces of evidence suggest that HERV modulation is a complex phenomenon, influenced by multiple factors, and cannot be understood based on the general upregulation of a certain group in a given condition; thus the field indeed asks for dedicated high-throughput expression studies to definitively assess these elements’ impact on our health.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/biology10050439/s1, Supplementary File S1: HML7 solitary LTR sequences identified in the human genome assembly GRCh38/hg38, Supplementary File S2: Neighbor joining phylogenetic analyses of individual HML7 proviral portions.
Author Contributions
Conceptualization N.G. and E.T.; methodology, N.G. and M.P.P.; formal analysis, N.G., M.P.P., E.P., and S.S.; investigation, N.G., E.P., and S.S.; data curation, N.G., E.P., and S.S.; writing—original draft preparation, N.G.; Writing—review & editing, N.G., M.P.P., E.P., S.S., and E.T.; supervision, E.T.; project administration, E.T. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
All the data presented in this study are included in the article. HML7 genomic sequences analyzed can be visualized on the human reference genome through the correspondent coordinates in USCS Genome Browser (https://genome.ucsc.edu accessed on 30 March 2021).
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Blond J.-L., Lavillette D., Cheynet V., Bouton O., Oriol G., Chapel-Fernandes S., Mandrand B., Mallet F., Cosset F.-L. An Envelope Glycoprotein of the Human Endogenous Retrovirus HERV-W Is Expressed in the Human Placenta and Fuses Cells Expressing the Type D Mammalian Retrovirus Receptor. J. Virol. 2000;74:3321–3329. doi: 10.1128/JVI.74.7.3321-3329.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Mi S., Lee X., Li X.-P., Veldman G.M., Finnerty H., Racie L., LaVallie E., Tang X.-Y., Edouard P., Howes S., et al. Syncytin is a captive retroviral envelope protein involved in human placental morphogenesis. Nat. Cell Biol. 2000;403:785–789. doi: 10.1038/35001608. [DOI] [PubMed] [Google Scholar]
- 3.Mangeney M., Renard M., Schlecht-Louf G., Bouallaga I., Heidmann O., Letzelter C., Richaud A., Ducos B., Heidmann T. Placental syncytins: Genetic disjunction between the fusogenic and immunosuppressive activity of retroviral envelope proteins. Proc. Natl. Acad. Sci. USA. 2007;104:20534–20539. doi: 10.1073/pnas.0707873105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Lavialle C., Cornelis G., Dupressoir A., Esnault C., Heidmann O., Vernochet C., Heidmann T. Paleovirology of ‘ syncytins ’, retroviral env genes exapted for a role in placentation. Philos. Trans. R. Soc. B Biol. Sci. 2013;368:20120507. doi: 10.1098/rstb.2012.0507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Grandi N., Tramontano E. Human Endogenous Retroviruses Are Ancient Acquired Elements Still Shaping Innate Immune Responses. Front. Immunol. 2018;9:2039. doi: 10.3389/fimmu.2018.02039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Grandi N., Tramontano E. HERV Envelope Proteins: Physiological Role and Pathogenic Potential in Cancer and Autoimmunity. Front. Microbiol. 2018;9:462. doi: 10.3389/fmicb.2018.00462. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Ferrari R., Grandi N., Tramontano E., Dieci G. Retrotransposons as Drivers of Mammalian Brain Evolution. Life. 2021;11:376. doi: 10.3390/life11050376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Grandi N., Tramontano E. Type W Human Endogenous Retrovirus (HERV-W) Integrations and Their Mobilization by L1 Machinery: Contribution to the Human Transcriptome and Impact on the Host Physiopathology. Viruses. 2017;9:162. doi: 10.3390/v9070162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Liu C.-H., Grandi N., Palanivelu L., Tramontano E., Lin L.-T. Contribution of Human Retroviruses to Disease Development—A Focus on the HIV– and HERV–Cancer Relationships and Treatment Strategies. Viruses. 2020;12:852. doi: 10.3390/v12080852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Mayer J., Blomberg J., Seal R.L. A revised nomenclature for transcribed human endogenous retroviral loci. Mob. DNA. 2011;2:7. doi: 10.1186/1759-8753-2-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Sperber G., Airola T., Jern P., Blomberg J. Automated recognition of retroviral sequences in genomic data–RetroTector. Nucleic Acids Res. 2007;35:4964–4976. doi: 10.1093/nar/gkm515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Vargiu L., Rodriguez-Tomé P., Sperber G.O., Cadeddu M., Grandi N., Blikstad V., Tramontano E., Blomberg J. Classification and characterization of human endogenous retroviruses; mosaic forms are common. Retrovirology. 2016;13:1–29. doi: 10.1186/s12977-015-0232-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Grandi N., Cadeddu M., Blomberg J., Tramontano E. Contribution of type W human endogenous retroviruses to the human genome: Characterization of HERV-W proviral insertions and processed pseudogenes. Retrovirology. 2016;13:1–25. doi: 10.1186/s12977-016-0301-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Grandi N., Cadeddu M., Blomberg J., Mayer J., Tramontano E. HERV-W group evolutionary history in non-human primates: characterization of ERV-W orthologs in Catarrhini and related ERV groups in Platyrrhini. BMC Evol. Biol. 2018;18:6. doi: 10.1186/s12862-018-1125-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Jern P., Sperber G.O., Ahlsén G., Blomberg J. Sequence Variability, Gene Structure, and Expression of Full-Length Human Endogenous Retrovirus H. J. Virol. 2005;79:6325–6337. doi: 10.1128/JVI.79.10.6325-6337.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Subramanian R.P., Wildschutte J.H., Russo C., Coffin J.M. Identification, characterization, and comparative genomic distribution of the HERV-K (HML-2) group of human endogenous retroviruses. Retrovirology. 2011;8:90. doi: 10.1186/1742-4690-8-90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Marchi E., Kanapin A., Magiorkinis G., Belshaw R. Unfixed Endogenous Retroviral Insertions in the Human Population. J. Virol. 2014;88:9529–9537. doi: 10.1128/JVI.00919-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Garcia-Montojo M., Doucet-O’Hare T., Henderson L., Nath A. Human endogenous retrovirus-K (HML-2): A comprehensive review. Crit. Rev. Microbiol. 2018;44:715–738. doi: 10.1080/1040841X.2018.1501345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Flockerzi A., Burkhardt S., Schempp W., Meese E., Mayer J. Human Endogenous Retrovirus HERV-K14 Families: Status, Variants, Evolution, and Mobilization of Other Cellular Sequences. J. Virol. 2005;79:2941–2949. doi: 10.1128/JVI.79.5.2941-2949.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Mayer J., Meese E.U. The Human Endogenous Retrovirus Family HERV-K(HML-3) Genomics. 2002;80:331–343. doi: 10.1006/geno.2002.6839. [DOI] [PubMed] [Google Scholar]
- 21.Seifarth W., Baust C., Murr A., Skladny H., Krieg-Schneider F., Blusch J., Werner T., Hehlmann R., Leib-Mösch C. Proviral Structure, Chromosomal Location, and Expression of HERV-K-T47D, a Novel Human Endogenous Retrovirus Derived from T47D Particles. J. Virol. 1998;72:8384–8391. doi: 10.1128/JVI.72.10.8384-8391.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Lavie L., Medstrand P., Schempp W., Meese E., Mayer J. Human Endogenous Retrovirus Family HERV-K(HML-5): Status, Evolution, and Reconstruction of an Ancient Betaretrovirus in the Human Genome. J. Virol. 2004;78:8788–8798. doi: 10.1128/JVI.78.16.8788-8798.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Pisano M.P., Grandi N., Cadeddu M., Blomberg J., Tramontano E. Comprehensive Characterization of the Human Endogenous Retrovirus HERV-K(HML-6) Group: Overview of Structure, Phylogeny, and Contribution to the Human Genome. J. Virol. 2019;93:1–19. doi: 10.1128/JVI.00110-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Grandi N., Cadeddu M., Pisano M.P., Esposito F., Blomberg J., Tramontano E. Identification of a novel HERV-K(HML10): Comprehensive characterization and comparative analysis in non-human primates provide insights about HML10 proviruses structure and diffusion. Mob. DNA. 2017;8:15. doi: 10.1186/s13100-017-0099-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Broecker F., Horton R., Heinrich J., Franz A., Schweiger M.-R., Lehrach H., Moelling K. The intron-enriched HERV-K(HML-10) family suppresses apoptosis, an indicator of malignant transformation. Mob. DNA. 2016;7:1–17. doi: 10.1186/s13100-016-0081-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Arroyo M., Bautista R., Larrosa R., Cobo M.Á., Claros M.G. Biomarker potential of repetitive-element transcriptome in lung cancer. PeerJ. 2019;7:e8277. doi: 10.7717/peerj.8277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Haeussler M., Zweig A.S., Tyner C., Speir M.L., Rosenbloom K.R., Raney B.J., Lee C.M., Lee B.T., Hinrichs A.S., Gonzalez J.N., et al. The UCSC Genome Browser database: 2019 update. Nucleic Acids Res. 2019;47:D853–D858. doi: 10.1093/nar/gky1095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Hubley R., Finn R.D., Clements J., Eddy S.R., Jones T.A., Bao W., Smit A.F.A., Wheeler T.J. The Dfam database of repetitive DNA families. Nucleic Acids Res. 2016;44:D81–D89. doi: 10.1093/nar/gkv1272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Katoh K., Standley D.M. MAFFT multiple sequence alignment software version 7: Improvements in performance and usability. Mol. Biol. Evol. 2013;30:772–780. doi: 10.1093/molbev/mst010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Harrow J., Frankish A., Gonzalez J.M., Tapanari E., Diekhans M., Kokocinski F., Aken B.L., Barrell D., Zadissa A., Searle S., et al. GENCODE: The reference human genome annotation for The ENCODE Project. Genome Res. 2012;22:1760–1774. doi: 10.1101/gr.135350.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Marchler-Bauer A., Bo Y., Han L., He J., Lanczycki C.J., Lu S., Chitsaz F., Derbyshire M.K., Geer R.C., Gonzales N.R., et al. CDD/SPARCLE: Functional classification of proteins via subfamily domain architectures. Nucleic Acids Res. 2017;45:D200–D203. doi: 10.1093/nar/gkw1129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Kumar S., Stecher G., Li M., Knyaz C., Tamura K. MEGA X: Molecular evolutionary genetics analysis across computing platforms. Mol. Biol. Evol. 2018;35:1547–1549. doi: 10.1093/molbev/msy096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Stecher G., Tamura K., Kumar S. Molecular Evolutionary Genetics Analysis (MEGA) for macOS. Mol. Biol. Evol. 2020;37:1237–1239. doi: 10.1093/molbev/msz312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Marchler-Bauer A., Derbyshire M.K., Gonzales N.R., Lu S., Chitsaz F., Geer L.Y., Geer R.C., He J., Gwadz M., Hurwitz D.I., et al. CDD: NCBI’s conserved domain database. Nucleic Acids Res. 2015;43:D222–D226. doi: 10.1093/nar/gku1221. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Jern P., O Sperber G., Blomberg J. Use of Endogenous Retroviral Sequences (ERVs) and structural markers for retroviral phylogenetic inference and taxonomy. Retrovirology. 2005;2:50. doi: 10.1186/1742-4690-2-50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Thomas J., Perron H., Feschotte C. Variation in proviral content among human genomes mediated by LTR recombination. Mob. DNA. 2018;9:1–15. doi: 10.1186/s13100-018-0142-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Contreras-Galindo R., Kaplan M.H., He S., Contreras-Galindo A.C., Gonzalez-Hernandez M.J., Kappes F., Dube D., Chan S.M., Robinson D., Meng F., et al. HIV infection reveals widespread expansion of novel centromeric human endogenous retroviruses. Genome Res. 2013;23:1505–1513. doi: 10.1101/gr.144303.112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Zahn J., Kaplan M.H., Fischer S., Dai M., Meng F., Saha A.K., Cervantes P., Chan S.M., Dube D., Omenn G.S., et al. Expansion of a novel endogenous retrovirus throughout the pericentromeres of modern humans. Genome Biol. 2015;16:1–24. doi: 10.1186/s13059-015-0641-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Saha A.K., Mourad M., Kaplan M.H., Chefetz I., Malek S.N., Buckanovich R., Markovitz D.M., Contreras-Galindo R. The Genomic Landscape of Centromeres in Cancers. Sci. Rep. 2019;9:1–10. doi: 10.1038/s41598-019-47757-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Charlesworth D. Evolution of recombination rates between sex chromosomes. Philos. Trans. R. Soc. B Biol. Sci. 2017;372:20160456. doi: 10.1098/rstb.2016.0456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Pisano M.P., Grandi N., Tramontano E. High-Throughput Sequencing Is a Crucial Tool to Investigate the Contribution of Human Endogenous Retroviruses (HERVs) to Human Biology and Development. Viruses. 2020;12:633. doi: 10.3390/v12060633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Zsíros J., Jebbink M., Lukashov V., Voûte P., Berkhout B. Biased nucleotide composition of the genome of HERV-K related endogenous retroviruses and its evolutionary implications. J. Mol. Evol. 1999;48:102–111. doi: 10.1007/PL00006437. [DOI] [PubMed] [Google Scholar]
- 43.Ito J., Gifford R.J., Sato K. Retroviruses drive the rapid evolution of mammalianAPOBEC3genes. Proc. Natl. Acad. Sci. USA. 2020;117:610–618. doi: 10.1073/pnas.1914183116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Arunkumar G., Melters D.P. Centromeric Transcription: A Conserved Swiss-Army Knife. Genes. 2020;11:911. doi: 10.3390/genes11080911. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Pisano M.P., Tabone O., Bodinier M., Grandi N., Textoris J., Mallet F., Tramontano E. RNA-seq transcriptome analysis reveals LTR-retrotransposons modulation in Human Peripheral Blood Mononuclear Cells (PBMCs) after in vivo Lipopolysaccharides (LPS) injection. J. Virol. 2020;94:e00587-20. doi: 10.1128/JVI.00587-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Grandi N., Pisano M.P., Scognamiglio S., Pessiu E., Tramontano E. Comprehensive Analysis of HERV Transcriptome in HIV+ Cells: Absence of HML2 Activation and General Downregulation of Individual HERV Loci. Viruses. 2020;12:481. doi: 10.3390/v12040481. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All the data presented in this study are included in the article. HML7 genomic sequences analyzed can be visualized on the human reference genome through the correspondent coordinates in USCS Genome Browser (https://genome.ucsc.edu accessed on 30 March 2021).