Abstract
Previous BAC clone analysis of the Platyrrhini owl monkey KIRs have shown an unusual genetic structure in some loci. Therefore, cDNAs encoding KIR molecules from eleven Aotus vociferans monkeys were characterized here; ten putative KIR loci were found, some of which encoded atypical proteins such as KIR4DL and transcripts predicted to encode a D0+D1 configuration (AOTVOKIR2DL1*01v1) which appear to be unique in the Aotus genus. Furthermore, alternative splicing was found as a likely mechanism for producing activator receptors in A. vociferans species. KIR proteins from New World monkeys may be split into three new lineages according to domain by domain phylogenetic analysis. Although the A. vociferans KIR family displayed a high divergence among paralogous genes, individual loci were limited in their genetic polymorphism. Selection analysis showed that both constrained and rapid evolution may operate within the AvKIR family. The frequent alternative splicing (as a likely mechanism generating activator receptors), the presence of KIR4DL and KIR2DL1 (D0+D1) molecules and other data reported here suggest that the KIR family in Aotus has had a rapid evolution, independent from its Catarrhini counterparts.
Introduction
Natural killer (NK) cells are granular lymphocytes which are involved in immune responses against infected or malignant cells [1]. NK cells have two effector responses: the direct cytotoxicity of target cell and cytokine production; the former function is mediated by balancing different receptors’ inhibitory and activating stimulation on NK surface. The large NK receptor repertoire includes killer cell immunoglobulin (Ig)-like receptors (KIRs), natural killer cell receptors (NKRs), leukocyte Ig-like receptors (LIRs), natural cytotoxicity receptors (NCRs), sialic acid binding Ig-like lectin 7 (Siglec-7) and members of NK lectin-like receptor 2 (NKG2) [2].
Multigene KIR family members are localized in the leukocyte receptor complex (LRC) and encode type I membrane proteins which have two or three Ig-like domains (D0, D1 and D2, according to their proximity to the membrane). KIRs having three domains are denoted as KIR3D and proteins with two domains as KIR2D. The cytoplasmic region can be long (L), having one or two immunoreceptor tyrosine-based inhibitory motifs (ITIMs) conducting inhibitory responses or, it can be short (S), interacting with adapter molecules having immunoreceptor tyrosine-based activation motifs (ITAMs) and thereby triggering activating signals [3-5].
The KIR haplotype has been characterizing in several primates: the chimpanzee [6,7], the gorilla [8], the orangutan [9], the rhesus macaque [10], the crab-eating macaque [11], baboons [12], the green monkey [13], the vervet monkey, the olive baboon, the colobus monkey [14] and an A. nancymae - A. azarai hybrid owl monkey [15]. KIRs evolutionary history has thus been thoroughly assessed in Catarrhini primates while a full understanding of such background has yet to be achieved in Platyrrhini monkeys. Sequence analysis of these Catarrhini species has shown a fast evolution and many of them have diverged in a species-specific manner [7,16]. Phylogenetic analysis has shown that domain shuffling has allowed the emergence of new primate receptors [8]. According to their phylogenetic relationships, five lineages can be observed, lineage I being represented by human KIR2DL4 and KIR2DL5 (KIR2DL4 being the only true ortholog KIR among Catarrhini primates) [7,14]. Lineage II includes human KIR3DL1 and KIR3DL2 which interact with class I molecules (MHC-A and -B). Lineage III is represented by KIRs having a D1+D2 and D0+D1+D2 configuration interacting with the MHC-C protein. Rhesus macaque KIRs form lineage IV and lineage V encompasses human KIR3DL3 [8].
Cadavid and Lun [15] analyzed a bacterial artificial chromosome from a hybrid F1 Aotus monkey; they showed that Aotus KIR gene models form a monophyletic clade (lineage VI), suggesting that differential diversification of the KIR family occurred after the divergence of hominids, Old World primates and New World monkeys [15]. This report has thus been aimed at characterizing the KIR repertoire from field sampled A. vociferans individuals, showing this family’s great diversity and rapid evolution in this species.
Results
Species identification
Morphological similarity in several Aotus species has led to frequent misidentification [17]; a fragment of cytochrome oxidase subunit II (COII) was thus sequenced before KIR gene amplification. This was then aligned with reported COII from different Aotus species and maximum likelihood (ML) phylogeny was then constructed by using the best nucleotide substitution model (i.e. the Hasegawa, Kishino and Yano (HKY) model, assuming a proportion of invariant sites (+I)) inferred by Bayesian information criteria (BIC). All COII fragments from the individuals included in this study formed a monophyletic group with the reported A. vociferans COII (Figure S1), confirming that the field sampled primates belonged to this species.
Characterizing KIR loci, alleles and splice variants
A total of 52 amplicons ranging between 1,000 and 1,600 base pairs were found in 11 animals analyzed. The open reading frames (ORF) encoded proteins having around 308 to 538 amino acids (Figure 1); 1 to 4 genes were identified per individual (Table S1). Each putative A. vociferans KIR gene (AOTVOKIR) was assigned a number according to the phylogenetic tree shown in Figure 2 (KIR1-KIR10). The allele/splice variants were named in an analogous fashion to the IPD-KIR database [18]. Each KIR transcript was assigned a number following the KIR acronym corresponding to the number of Ig-like domains in the molecule (e.g. AOTVOKIR3DL for a long cytoplasmic tail or AOTVOKIR3DS for a short cytoplasmic one). Each putative KIR receptor was assigned a number indicating the gene encoding it (AOTVOKIR3DL1… AOTVOKIR4DL10) and the splicing variants from an appointed gene were assigned the same number (e.g. AOTVOKIR4DL10*01 and AOTVOKIR3DS10*01v3 were encoded by the same gene). An asterisk was used as a separator before a numerical allele designation. Two digits were used to indicate alleles whose encoded protein sequence differed by a non-synonymous substitution. The variants generated by alternative splicing were designed by the letters “v” and a number (e.g. AOTVOKIR3DS3*03v1). A. vociferans KIR sequences found at least twice after sequencing several clones or present in two or more individuals are available in GenBank: accession numbers KF014088-KF014122.
A. vociferans KIRs having 2, 3 and 4 Ig-like domains were identified (Figure 1, and Figures S2-S10). These sequences were aligned and a phylogenetic tree was inferred. Ten clades can be observed in Figure 2, each representing a single A. vociferans putative locus (AOTVOKIR1- AOTVOKIR10). Twenty alleles (Table S1) were identified from these 10 loci and several splice variants appear to have been generated by alternative splicing (Figures S11 and S12). The AOTVOKIR1 locus encoded receptors having 2 or 3 Ig-like domains with either long or short cytoplasmatic tails (Figure S2). Long cytoplasmatic tail KIRs had two distinguishing ITIMs (VKYTQL and SVYMEL) thus encoding inhibitory receptors. Two alleles were found in this locus. Allele 1 (AOTVOKIR3DL1*01) had 2 variants apparently generated by alternative splicing (Figure S11). Deletion of the D2 domain in allele 1 generated a KIR protein having 2 Ig-like domains (AOTVOKIR-2DL1*01v1). In addition to this variant, a new one encoded a short cytoplasmatic tail KIR lacking the transmembrane charged residue (Figure S2).
The AOTVOKIR2 locus encoded proteins having 3 Ig-like domains with long tails with the same two ITIM motifs as AOTVOKIR1 (Figure S3). AOTVOKIR2 also had 2 alleles. The AOTVOKIR3DL2*01 allele had one splice variant; such variant (AOTVOKIR3DL2* 01v1) had a 12-residue deletion at the beginning of the D1 domain (Figure S3) due to the absence of 36nt in exon 4 that might have been generated by the use of an alternative acceptor site (Figure S11).
The AOTVOKIR3 locus had three alleles encoding activator receptors. Exon 2 was absent in AOTVOKIR3DS3*01 and *02 alleles, while the AOTVOKIR3DS3*03 allele had 19nt from this exon (Figure S11) causing a shift in the reading frame. Additionally, this allele had one splice variant which lacks exon 7, generating a 35-residue loss where stem and transmembrane domains are absent (Figure S4). On the other hand, AOTVOKIR3DS3*02 allele differed in sequence at the C-terminal region of the cytoplasmatic tail (Figure S4). However, the three alleles shared the charged amino acid position (residue 4 of the transmembrane domain).
The fourth locus (AOTVOKIR4) encoded inhibitory receptors having 3 Ig-like domains, as well as others having uncommon C-terminal regions (Figure S5). The former had the ITIM motif (VTYAQL and SVYMEL) that differed from the aforementioned KIRs. The AOTVOKIR3DL4*02 allele had two splice variants. The first (AOTVOKIR3DL4*02v1) had an INDEL covering the signal peptide; variant 2 (AOTVOKIR3DL4*02v2) had an insertion at the beginning of the stem domain (Figure S5). Similarly to inhibitory receptors, the “short-tailed” ones seem to be generated by alternative splicing (Figure S12). Despite having short cytoplasmatic tails, the positively charged amino acid was absent in these receptors. The AOTVOKIR3DS4*04v1 splice variant seems to have an in-frame intron fragment included, which led to an uncommon C-terminal sequence. No transmembrane region was found when Phobius [19] and TMHMM [20] predictors were used.
Two alleles encoding short-tailed receptors were found in the AOTVOKIR5 locus. Due to two deletions of 1nt in exon 7, donor splicing site changed (Figure S12), joining exon 8 in a different frame and generating a premature stop codon. Likewise, alternative splicing (Figure S12), generated 2 variants having a complete (AOTVOKIR2DS5*02v2) or incomplete (AOTVOKIR2DS5*02v1) D0a domain deletion and KIRs having 2 Ig-like domains were thus encoded (Figure S6). The positively charged amino acid was absent in these receptors. Only one allele was identified in the AOTVOKIR6 locus which encoded an inhibitory protein with 3 Ig-like domains having the same ITIMs as the AOTVOKIR4 inhibitor.
The two AOTVOKIR7 sequences had 100% identity in the three Ig-like domains, but contained rare C-terminal portions, which were only found once (Figure S7). The AOTVOKIR3DS7*01 allele had typical stem and transmembrane domains and also a rare cytoplasmatic region due to a two deletions of 1nt each at the end of exon 7 that changed the reading frame and the donor splicing site (Figure S12); however, this allele had an arginine in position 4 of the transmembrane domain (Figure S7). No transmembrane domain was found using Phobius and TMHMM predictors with the AOTVOKIR3DS7*01v1 allele.
The AOTVOKIR8 locus encoded short- and long-tailed proteins with 3 Ig-like domains. The short tail KIR (AOTVOKIR3DS8*01v2) had no charged amino acid in the transmembrane domain and seemed to be a splice variant considering that exon 5 joined to exon 7 (Figure S12) in a different frame generating a premature stop codon. The long-tailed protein had the two typical VTYAQL and VYMEL ITIMs; 2 alleles were found in this locus and in addition to the variant mentioned above, another splicing variant (AOTVOKIR3DL8*01v1) produced by the absence of 17-residues in the stem domain was found in the AOTVOKIR3DL8*01 allele (Figure S8 and Figure S12).
The AOTVOKIR9 and AOTVOKIR10 loci encoded proteins having 4 Ig-like domains (Figure S9 and Figure S10). The former encoded inhibitory receptors and one possible secreted KIR which did not have a stem, transmembrane or cytoplasmatic domain (Figure S9). This locus had two alleles; a KIR protein having 3 Ig-like domains where most of the D0a domain was absent was probably generated by an alternative splicing in the AOTVOKIR4DL9*01 allele (Figure S9 and Figure S12). The AvKIR10 locus encoded short-, long-tailed receptors and secreted proteins. The AOTVOKIR10 inhibitor and secreted (splice variant) receptor proteins had a similar genetic structure to that of AOTVOKIR9 (Figure S10). One allele and four splice variants were found at this locus. Joints between exon 7 and exon 9 were found in the former splice variant (AOTVOKIR4DS10*01v2 and AOTVOKIR3DS10*01v3) thus encoding short-tailed receptors that lacked the charged amino acid in the transmembrane domain. Part of the D0a and D0b domains were absent in the AOTVOKIR3DS10*01v3 and AOTVOKIR3DS10*01v4 variants (possibly generated by alternative splicing [Figure S12]) and the latter variant (AOTVOKIR3DL10*01v1) lacked most of the D0a domain (Figure S10), thus generating KIRs having 3 Ig-like domains.
Phylogenetic and recombination analysis
A. vociferans KIR nucleotide sequences (AOTVOKIR) were aligned together with previously reported human (KIR), chimpanzee (Pan troglodytes - PANTRKIR), gorilla (Gorilla gorilla - GORGOKIR), orangutan (Pongo pygmaeus - PONPYKIR), rhesus monkey (Macaca mulatta - MACMUKIR), and owl monkey (Aotus sp - OmKIR) KIR sequences. Gene trees were then generated using maximum likelihood (ML) with different evolutionary models. Full-length DNA trees constructed with generalized time reversible (GTR) and a discrete Gamma distribution (+G) model revealed four main clades (Figure S13). The Cercopithecidae KIR (MACMUKIR) genes clustered in a paraphyletic clade, the Hominidea species (PONPYKIR, GORGOKIR, PANTRKIR and KIR) came together in another clade and the Platyrrhini A. vociferans and Aotus sp clustered in a monophyletic clade. The ancestral KIRs clustered together, lying outside the clades mentioned above (Figure S13).
Domain by domain phylogenetic analysis of primate KIR genes showed the characteristic lineages (I to VI) (Figures 3 - 6). According to inferred phylogenies, lineage VI reported by Cadavid et al. [15], might be split into three new lineages. The topology of D0 (Figure 3) showed two clades in lineage VI. The first clade (VIa) clustered the AOTVOKIR1, AOTVOKIR2 and AOTVOKIR3 loci, as well as the OmKIR3DS1 and OmKIR3DL2 genes. The second clade (VIb) brought together the remaining AOTVOKIR loci (AOTVOKIR4, AOTVOKIR5, AOTVOKIR6, AOTVOKIR7, AOTVOKIR8, AOTVOKIR9 and AOTVOKIR10) along with OmKIR3DL3, OmKIR3DL4, OmKIR4DL5, OmKIR4DL6 and pOmKIR4DL7 genes. Moreover, this tree showed that the D0b domain formed a paraphyletic group in lineage VIb where the OmKIR4DL6-D0b domain appeared to be more phylogenetically related to D0a from the AOTVOKIR4 and AOTVOKIR10 loci. The estimated evolutionary genetic distances between D0 domains showed that the OmKIR4DL6-D0b domain had low values when compared to the AOTVOKIR4-D0a domains, whereas the remaining D0b domains had the lowest values and appeared to be closest to the AOTVOKIR8-D0a domain. Phylogenies from the D1, D2 and STC (stem, transmembrane and cytoplasmatic) domains showed similar topologies to those in Figure 3, clustering the AOTVOKIR1 to AOTVOKIR3 loci into clade VIa and AOTVOKIR4 to AOTVOKIR10 loci into the VIb clade (Figures 4-6). However, the OmKIR3DL3, OmKIR3DL4 and pOmKIRDL8 genes clustered independently to VIa and VIb in these trees, forming a third new lineage (VIc) (Figures 4-6). The topologies did not provide broad evidence of exon shuffling; however, recombination analysis showed recombinant fragments between loci (Figure 7). Most recombinant fragments were located on immunoglobulin domains and were large, indicating complete domain shuffling, although small recombinant fragments were found too. Nevertheless, domain shuffling does not seem to be the main mechanism responsible for creating new Aotus KIR receptors.
Sequence divergence in paralogs, polymorphism and selection in AOTVOKIR
Nucleotide diversity (π) and Watterson estimator (θw) values were high when A. vociferans KIR loci were compared, showing a large divergence in paralogs (Table 1). The highest values were found in the D0 and D1 domains, whereas the D0b domain showed low paralogous sequence divergence (π = 0.008). Despite high KIR family paralogous divergence, individual loci showed low genetic polymorphism (Table 2). The most diverse locus was AOTVOKIR9 (π = 0.008) followed by AOTVOKIR1 and AOTVOKIR4, while the most conserved loci were AOTVOKIR2, AOTVOKIR3, AOTVOKIR8, and AOTVOKIR10 (π lower than 0.0001).
Table 1. Domain by domain genetic sequence divergence in paralogs in the A. vociferans KIR family.
N | Domain | Sites | Ss | θw (SD) | π (SD) |
---|---|---|---|---|---|
31 | D0a | 279 | 83 | 0.074 (0.023) | 0.097 (0.010) |
8 | D0b | 282 | 4 | 0.005 (0.003) | 0.008 (0.001) |
33 | D1 | 306 | 78 | 0.062 (0.020) | 0.079 (0.004) |
34 | D2 | 294 | 63 | 0.052 (0.017) | 0.051 (0.003) |
5 | STC-A | 103 | 12 | 0.056 (0.031) | 0.062 (0.018) |
22 | STC-I | 106 | 26 | 0.067 (0.025) | 0.042 (0.012) |
n: Number of sequences, Sites: Total sites analyzed, Ss: Number of segregating sites, θW: Watterson estimator, π: Nucleotide diversity. (SD): Standard deviation. The C-terminal region including stem, transmembrane and cytoplasmatic domain (STC) and split according to their function: STC-A = activator tail, STC-I = inhibitor tail
Table 2. Genetic polymorphism of A. vociferans KIR loci.
n | Gene | Sites | Ss | NP | θw (SD) | π (SD) |
---|---|---|---|---|---|---|
4 | KIR1 | 1056 | 7 | 4(2a,2b) | 0.004 (0.002) | 0.004 (0.001) |
2 | KIR2 | 1278 | 1 | 3(2a,1b) | 0.001 (0.001) | 0.001 (0.000) |
3 | KIR3 | 908 | 1 | 4(3a,1b) | 0.001 (0.001) | 0.001 (0.000) |
10 | KIR4 | 1131 | 8 | 7(4a,3b) | 0.002 (0.001) | 0.002 (0.001) |
1 | KIR5 | - | - | 4(2a,2b) | - | - |
1 | KIR6 | - | - | 1(1a) | - | - |
1 | KIR7 | - | - | 2(1a,1b) | - | - |
3 | KIR8 | 1329 | 2 | 4(2a,2b) | 0.001 (0.000) | 0.001 (0.000) |
3 | KIR9 | 1233 | 14 | 4(2a,2b) | 0.008 (0.005) | 0.008 (0.003) |
4 | KIR10 | 948 | 1 | 5(1a,4b) | 0.001 (0.001) | 0.000 (0.000) |
n: Number of sequences, Sites: Total of sites analyzed, Ss: Number of segregating sites, NP: Number of different encoded protein products (including a alleles and b splice variants) per locus, θW: Watterson estimator, π: Nucleotide diversity. (SD): Standard deviation
The rate of non-synonymous (dN) and synonymous (dS) substitutions per site per domain (Table 3) was calculated to evaluate how natural selection was acting in the A. vociferans KIR family. A higher dS rate than dN was found; however, no statistical difference was found, except for the C-terminal region of inhibitor KIRs (Table 3). The slide window for ω (dN/dS) showed that codons could be differentially affected by natural selection (Figure S14). Different codon-based methods were used to estimate the ω ratio at every codon in the alignment. These methods found evidence of positive selection acting in different codons in the D0a, D1 and D2 domains as well as in the STC domain (Figure 1 and Table 3). Residues involved in the interaction with the MHC are also shown in Figure 1. Likewise, several codons were found under negative selection throughout these receptors (Figure 1).
Table 3. Average number of synonymous substitutions per synonymous site (dS) and non-synonymous substitutions per non-synonymous site (dN) at each domain and individual codons affected by positive selection.
|
Positive selected sites
|
||||||
---|---|---|---|---|---|---|---|
Domain | dN (SE) | dS (SE) | FEL |
REL
|
MEME | FUBAR | |
D0a | 0.103 (0.023) | 0.113 (0.035) | 39, 40, 52 | 39, 40, 52 | 32, 40, 52 | 25, 40 | |
D0b | 0.005 (0.004) | 0.016 (0.012) | - | - | - | - | |
D1 | 0.081 (0.013) | 0.102 (0.024) | 244, 262. 266, 281 | 244, 262. 266, | 229, 258, 262, 266, 277 | 254, 260, 262, 266 | |
D2 | 0.050 (0.009) | 0.066 (0.018) | 314, 328, 330, 341 | 314, 328, 330, 341 | 314, 328, 330, 341, 345, 397 | 314, 328, 330 | |
STC-A | 0.047 (0.018) | 0.158 (0.069) | 429, 438, 439, 455 | 455 | 455 | 429 | |
STC-I | 0.033 (0.008) | 0.069 (0.020)* |
No statistical differences were found between dN and dS substitution in Ig-like domains and STC-A domain or by SLAC method. Codon positions are according to the alignment shown in Figure 1. The C-terminal region including stem, transmembrane and cytoplasmatic domains (STC) was split according to their function: STC-A = activator tail and STC-I = inhibitor tail. (SE): Standard error. * p < 0.04.
Discussion
Eight KIR gene models have been identified in previous analysis of a working draft sequence of the BAC clone from a hybrid Aotus monkey [15]. We have identified ten putative loci when characterizing A. vociferans KIR molecules from field samples, some of them having great similarity with KIR gene models. OmKIR3DS1 and OmKIR3DL2 were phylogenetically related to the AOTVOKIR1, AOTVOKIR2 and AOTVOKIR3 loci. However, other gene models were more phylogenetically distant, clustering outside the AOTVOKIR loci clades identified in this study (Figure S13), thereby suggesting rapid evolution in Aotus. Likewise, receptors having four Ig-like domains were characterized in this BAC clone analysis, such unusual KIR proteins being found in our cDNA analysis thus confirming the presence of these atypical receptors in Aotus species. Nevertheless, orthologs could not be found, since OmKIR4D gene models appeared phylogenetically distant to the AOTVOKIR-4D loci (Figure S13). Furthermore, the dual function KIR molecule (OmKIR4DL5) [15] was not found here. These atypical receptors are characterized by an extra D0 domain. This domain has been suggested to act as an ‘innate HLA sensor’ in humans since it extends towards the β2-microglobulin and a class I HLA region with limited polymorphism [21]. D0b might thus be an ‘innate MHC sensor’ for a species-specific MHC in Aotus monkeys. AOTVOKIR2DL1*01v2 and AOTVOKIR3DS3*03 were other atypical KIRs found in A. vociferans. The former have a rare Ig-like domain configuration. All reported KIR2D receptors have D0+D2 or D1+D2 configurations [7], but AOTVOKIR2DL1*01v2 had a D0+D1 configuration. Meanwhile, in AOTVOKIR3DS3*03 alleles, the exon 1 joined to nucleotide 18 of exon 2 changing the reading frame; taking into account that the start codon was not sequenced, this result could be due to either an alternative translation start site upstream or to a transcribed pseudogene. These features differed from other KIRs identified in primates; therefore, the KIR4DL loci and AOTVOKIR2DL1*01v2 receptor having a D0+D1 configuration could be exclusive of the Aotus genus.
The KIR family has been reported to be highly diverse in all primates studied to date; our research has shown that this feature also seems to hold true in the A. vociferans KIR repertoire due the large sequence divergence in paralogs (Figure 1 and Table 1). Moreover, we detected multiple variants (1 to 4 in each locus) of AOTVOKIR molecules (as in humans and rhesus monkeys [10,22]) which appear to have generated by using alternative splice sites (Figures S11 and S12). This is a remarkable result since using alternative splice sites, A. vociferans could: (1) created new encoded receptors by deleting complete/incomplete Ig-like domains or just portions of the stem, transmembrane or cytoplasmatic domains thus increasing A. vociferans KIR diversity (although the biological significance of the alternative transcripts remains obscure) and (2) generate putative activating receptors in an unconventional way, seldom found in other primates.
Soluble KIR receptors have also been reported in humans and rhesus monkeys [23,24]. A rhesus monkey allele lacking the stem and transmembrane domains, like the AOTVOKIR3DS3*03v1 allele, has been reported previously as a soluble KIR [22]. The AOTVOKIR4DS9*01v1 and AOTVOKIR3DS10*01v4 alleles had an intron insertion (Figure S12) generating a premature stop codon which produced a complete deletion of stem, transmembrane and cytoplasmatic domains, suggesting that these molecules are also secreted AOTVOKIRs. Even though soluble KIR receptors have been reported previously [23,24], their biological function is not fully understood. Other uncommon receptors generated by using alternative splice sites were found (AOTVOKIR3DS4*04v1 and AOTVOKIR3DS7*01v1) which could have been soluble as they had an unusual C-terminal region without a transmembrane helix, according to Phobius and TMHMM predictors. Given that AOTVOKIR3DS7 sequences were found only once, further analysis is necessary to determine whether they really are AOTVOKIRs.
Similar to the human KIR2DS2*003 allele and the NKp80 stimulatory receptor, several short cytoplasmatic tail receptors (AOTVOKIR3DS1*01, AOTVOKIR3DS1*01v2, AOTVOKIR3/2DS5, AOTVOKIR3DS8*01v2 and AOTVOKIR4DS10*01v2 and AOTVOKIR3DS10*01v3) were found lacking a positively charged amino acid. Comparable behavior has been observed previously in cDNA sequences analysis (including only the exon 7 to exon 9) from a F1 hybrid Aotus monkey [15]. The deduced amino acid sequences from clone Om12A [15] and AOTVOKIR3/2DS5 had high similarity. The most important difference between them was that Om12A had a positively charged amino acid in the transmembrane domain while AOTVOKIR3/2DS5 did not. The Om32 clone, similar to AOTVOKIR3DS1*01, AOTVOKIR3DS1*01v2, AOTVOKIR3DS8*01v2, AOTVOKIR4DS10*01v2 and AOTVOKIR3DS10*01v3 did not have a positively charged amino acid, thus hampering their interaction with adapter molecules. However, other residues might contribute towards protein interactions within the plasma membrane [25]. In humans, proline 11 and threonine 13 are uniquely located and conserved within the transmembrane domains of activating KIRs [25]. Modifications at these residues have been shown to diminish association with DAP12 [25,26]. Since A. vociferans short cytoplasmatic tail receptors had these amino acids conserved at the same position (Figure 1), association between these AOTVOKIRs and adapter molecules might be facilitated by proline and theronine residues. However, short-tailed AOTVOKIR10 receptors do not have proline or theronine residues, so other amino acids should be involved in protein interactions. Alternatively, an unknown adapter molecule could have been coupling with these receptors. Functional studies are thus necessary to elucidate whether short-tailed AOTVOKIR5, AOTVOKIR8 and AOTVOKIR10 splice variants really are activating receptors.
The Aotus KIR sequences were analyzed with Catarrhini receptors for evaluating their phylogenetic relationship within primates. A tree constructed with full-length nucleotide sequences showed that Cercopithecidae, Hominidea and Platyrrhini KIR genes clustered into separate clades (like species phylogeny), as previously reported [14,15]. Orthologous Catarrhini KIR2DL4 receptors were clustered outside these main clades lacking a Platyrrhini ortholog. Since KIR2DL4 loci might be the ancestral KIR, its absence in Platyrrhini suggested loss of ancestral locus in this parvorder. This clustering pattern also suggested these receptors’ independent divergence among higher primates.
Two main clades were observed within the Aotus genus (Figure S13); similar behavior was found in domain by domain phylogenetic analysis (Figure 3 - Figure 6). Two monophyletic groups were established for the D0, D1, D2 and STC (stem, transmembrane and cytoplasmatic) domains. The former formed lineage VIa, clustering the AOTVOKIR1 to AOTVOKIR3, as well as OmKIR3DS1 and OmKIR3DL2 loci, while the second (lineage VIb) brought together the AOTVOKIR4 to AOTVOKIR10 with OmKIR4DL5, OmKIR4DL6 and pOmKIR4DL7 loci, whereas the OmKIR3DL3, OmKIR3DL4 and pOmKIRDL8 gene models was outside these clades, forming the VIc lineage. In addition to phylogenetic analysis, recombination analysis using RDP software showed recombination within and between lineages. These suggested that Aotus KIR family diversification, starting from at least two lineages and recombination between A. vociferans paralogs, may have produced new killer cell Ig-like receptors within them like other primates. Nevertheless, the main mechanism responsible for creating new Aotus KIR receptors seems to be alternative splicing and not domain shuffling.
According to Figure 3, the Aotus D0 duplicated domain (D0b) formed a paraphyletic group within lineage VIb; this extra domain therefore emerged from a KIR inside it. Furthermore, the OmKIR4DL6-D0b domain was phylogenetically closest to AOTVOKIR4 showing a relatively low genetic distance between them (Table S2). The remaining D0b domains formed a sister clade with AOTVOKIR8 and the genetic distance between these D0b domains and AOTVOKIR8 was among the lowest (Table S2). This suggested that KIR4D receptors emerged from two independent duplication events. The origin of the D0b domain still remains not fully clear.
It is thought that KIR family evolution can be explained by a birth-and-death model [27,28] where loci evolve independently. Individual KIR loci sequences remain remarkably conserved, while KIR haplotypes have evolved to produce a highly diverse family of receptors. The π and θW values found when compared AOTVOKIR paralogous domains (Table 1) supports this idea and, like human KIRs, individual AOTVOKIR loci show low intragenic polymorphism. Although the small number of sequences could bias the low intragenic polymorphism, the most polymorphic locus here found was AOTVOKIR9 (π = 0.008, n = 3) while the AOTVOKIR4 had a low π value (π = 0.002, n = 10), suggesting that the low polymorphism might be a feature of AOTVOKIRs loci. Table S1 shows that each individual has a different haplotype, however, this behavior could be due to the limitations of our approach that does not allow identifying the full number of genes in each individual.
The mechanics by which KIR loci evolved towards a greatly diverse (paralogous divergence) family is natural selection [16,29,30]. No differences were found when the dN and dS rates were calculated within A. vociferans Ig-like KIR domains. However, the domain by domain ω sliding window (Figure S12) showed evidence of positive and negative selection in particular regions; therefore, natural selection might have varied across codons. This was confirmed by using codon-based methods which led to estimating the dN/dS (ω) ratio at every codon in the alignment. This analysis showed several sites under negative selection throughout the KIR alignment, whereas positive selection acted on individual sites in D0a, D1 and D2 domains as well as on stem and cytoplasmatic domains (Figure 1). This data suggested that both constraint and rapid evolution may operate within the KIR family. Thus, negative selection constricts functionally or structurally important regions (as the inhibitory cytoplasmatic domain, which displayed 9 negatively selected codons and a dS > dN with a p < 0.04), while positive selection could diversify the residues within domains that are involved in inter-domain interaction [16,29] or are involved in pathogen recognition [30]. Sites in AvKIR D1 and D2 domains, homologous to those involved in KIR-HLA interactions [21,31,32] or sites close to them, were under positive selection and thus, natural selection could be favoring changes that allow the recognition of different MHC-I molecules. Likewise, leucine 166 of the human KIR3DL1*001, involved in direct contact with a self-peptide presented on the HLA-B*5701 [21], and the homologous AvKIR residue (localized in position 281), were under positive selection; natural positive selection could thus allow diversification of amino acids interacting with the peptide being presented on class I. However, it is not clear why positive selection is acting in the stem and cytoplasmatic domain.
According the data reported here, A. vociferans KIR family evolved from at least two lineages which gave rise to 10 putative loci; the high AvKIR diversity would therefore be mainly due: (1) extensive sequence divergence in paralogs generated by natural selection and (2) alternative splicing producing multiple receptor variants. Furthermore, this mechanism allows loci to encode both short and long cytoplasmatic receptors.
Materials and Methods
Ethics statement, animal capture and study area
The present study was approved by the Fundación Instituto de Inmunología's ethics committee. The capture of eleven Aotus vociferans primates (International Union for Conservation of Nature and Natural Resources (IUCN) status: least concern) was authorized by the official Colombian environmental authority, CORPOAMAZONIA, for this primate's capture, study, and scientific research in the Amazonian region (CORPOAMAZONIA, resolutions 0066/Sep/2006, 0028/May/2010 and 0632/Jun/2010 and previous authorizations beginning in 1982). All animal-handling procedures were carried out according to the Guide for the Care and Use of Laboratory Animals, USA [33]; such recommendations comply with Colombian regulations for biomedical research (resolution 8430/1993 and law 84/1989). Captured individuals were numbered, sexed, weighed, given a physical-clinical examination and temporally housed in individual cages measuring 50 x 50 x 60 centimeters, prior to any experimental procedure. The monkeys were then kept in cages measuring 1 x 1.5 x 2 meters. In both cases, monkeys were kept in similar temperature (25 to 30 degrees centigrade) and relative humidity (83%) conditions to those found in their natural environment. The monkeys’ diet was based on a supply of typical fruits from the amazon region (based on such primates’ natural diet), vegetables and a nutritional supplement including vitamins, minerals and proteins. Their environment was enriched by including visual barriers (to avoid social conflicts), feeding devices, some branches and vegetation, perches and a nest box. All procedures requiring the animals to be handled were carried out by trained veterinary personnel; when necessary the animals were sedated and given analgesia to reduce stress. CORPOAMAZONIA made a weekly visit to evaluate housing conditions, feeding regimens and the environmental enrichment of the monkeys captured. Blood samples were taken from individuals with no kinship, collected within the authorized Amazonian territory in different indigenous communities, as follows: La Libertad (4 individuals), Los Lagos (2 individuals), Naranjales (1 individual), Macedonia (1 individual), San Francisco (1 individual), Siete de Agosto (1 individual) and El Vergel (1 individual). The monkeys were supervised by veterinarians and biologists; all individuals were released back into the Amazon jungle after the experimental procedures in optimal health conditions in the presence of a CORPOAMAZONIA representative.
DNA, RNA extraction and cDNA synthesis
We collected 3 mL peripheral blood samples from eleven monkeys phenotypically consistent with Aotus vociferans. DNA was obtained from 300 µL total blood using a Wizard Genomic DNA purification kit (Promega), following the manufacturer’s instructions. White blood cells were obtained from density gradient separation. Total cellular RNA was isolated from peripheral blood mononuclear cells using the TRIzol one-step procedure (Invitrogen Life Technologies, CA, USA). A SuperScript III reverse transcriptase kit (Invitrogen Life Technologies, CA, USA) was used for cDNA synthesis, according to the manufacturer’s instructions.
COII gDNA and KIR cDNA amplification
A fragment from the cytochrome oxidase subunit II (COII) gene was amplified using COII-Asp 5’-ACCATTCATAACTTTGTCAA-3’ and COII-Lys 5’-CTCTTAATCTTTAACTTAAAAG-3’ primers to determinate whether field sampled monkeys were actually A. vociferans. The reaction mixture contained 2.5 µL enzyme buffer, 1 µL MgCl2 [50 mM], 0.5 µL dNTPs [25 mM], 2.5 µL of each primer [5µM], 0.5 µL ACCUZYME DNA polymerase (BIOLINE) and 10–40 ng DNA template in a final 25 µL volume. Thermal conditions were set as follows: one cycle at 98°C for 5 min, 35 cycles at 55°C for 1 min, 1.3 min at 72°C, 1 min at 95°C and a final 1 min cycle at 55°C, followed by a 5 min final extension step at 72°C. Two independent PCR were conducted and amplification fragments were purified with Wizard SV gel and PCR clean-up system. A. vociferans cDNA KIR was amplified using KAPA HiFi HotStart Readymix containing 0.3 mM of each primer (KIRF: 5’-GTCACTCATGGTCATCAGC-3’ and KIRR: 5’-TCATGGACAGGAGACAAC-3’) in a final 25 µL volume in an approach aimed at reducing PCR artifacts [34-36]. Thermal conditions were set as follows: one cycle of 5 min at 95°C, 28 cycles of 20 sec at 98°C, 15 sec at 60°C, and 30 sec at 72°C, followed by a 5 min final extension at 72°C. The amplicons were purified just like the COII PCR fragments and an A-tailing protocol with GoTaq DNA polymerase (Promega) was used for ligating them, using a pGEM T-Easy Vector System (Promega), and they were then cloned into Escherichia coli JM109 cells. Positive clones were selected using ampicillin-positive selection and α-complementation of the lacZ gene. Sixteen plasmid DNAs were extracted using a Wizard plus Minipreps kit (Promega) per individual. The BigDye capillary electrophoresis method, using ABI-3730 XL (Macrogen, Seoul, South Korea) in both directions with amplification primers and T7 and SP6 primers, was used for DNA sequencing of COII PCR fragments and plasmids, respectively. A. vociferans KIR sequences found at least twice after sequencing several clones or present in two or more individuals are available in GenBank: accession numbers KF014088-KF014122.
Phylogenetic analysis for species identification and KIR sequences
Electropherograms were assembled using CLC main workbench software (CLC bio, Cambridge, MA, USA). The amplified Aotus primate COII fragments (Aovos) were compared with reported COII sequences for the Aotus genus (GenBank access numbers: HQ005483.1, AF352260.1, DQ321665.1, DQ321666.1, DQ321669.1, DQ321660.1, DQ321659.1, JN161054.1, JN161050.1, AF352255.1, HQ005486.1, HQ005485.1, DQ321670.1, HQ005478.1, AF352257.1, DQ321663.1, DQ321667.1, HQ005474.1, HQ005473.1, HQ005472.1, JF735191.1 and U36848.1). Clustal W [37] was used for aligning all COII sequences. MEGA software [38] was used for selecting the best nucleotide substitution model using Bayesian information criteria (BIC), screening 24 different nucleotide substitution models and a phylogenetic tree was then generated with the maximum likelihood (ML) method.
A. vociferans KIR sequences were manually aligned and a phylogenetic tree was then inferred using the ML method with Kimura’s two parameter (K2) [39] and a discrete Gamma distribution (+G) model selected by ML and BIC criteria. Domain by domain phylogenetic analyses were performed with sequences from Catarrhini (Homo sapiens, Pan troglodytes, Gorilla gorilla, Pongo pygmaeus, and Macaca mulatta) and Platyrrhini (Aotus sp and A. vociferans) primates, selecting the model that best fit the data. Maximum likelihood phylogenetic analyses were performed with MEGA software [38]. Bootstrap analysis (with 1,000 replicates each) was used for assigning confidence levels to branch nodes in all topologies. All positions having less than 95% site coverage were eliminated.
Genetic diversity and natural selection analyses
DnaSP software [40] was used to evaluate the genetic diversity of the A. vociferans KIR family (sequence divergence in paralogs) as well as each locus (polymorphism), positions containing gaps being removed. Natural selection at individual domain was assessed with MEGA v.5 [38], computing non-synonym substitution per non-synonym site (dN) and synonym substitution per synonym site (dS) rate using the modified Nei-Gojobori method [41]. Differences between dN and dS were assessed by applying the codon-based Z-test included in MEGA v.5. Positive and negative selection at individual sites was evaluated with SLAC, FEL, REL, MEME and FUBAR methods [42-45], taking recombination into account. A ≤ 0.1 p-value was considered significant for SLAC, FEL and MEME methods; ≥ 0.9 posterior probability was significant for FUBAR and ≥ 50 Bayes factor for REL. RDP3 v.3.4 software [46] was used for detecting recombination among paralogous genes, ignoring positions containing gaps.
Supporting Information
Acknowledgments
We would like to thank Johanna Forero-Rodríguez for her technical assistance and Jason Garry for reviewing the manuscript.
Funding Statement
These authors have no support or funding to report.
References
- 1. Zwirner NW, Domaica CI (2010) Cytokine regulation of natural killer cell effector functions. Biofactors 36: 274-288. doi: 10.1002/biof.107. PubMed: 20623510. [DOI] [PubMed] [Google Scholar]
- 2. Trowsdale J, Barten R, Haude A, Stewart CA, Beck S et al. (2001) The genomic context of natural killer receptor extended gene families. Immunol Rev 181: 20-38. doi: 10.1034/j.1600-065X.2001.1810102.x. PubMed: 11513141. [DOI] [PubMed] [Google Scholar]
- 3. Natarajan K, Dimasi N, Wang J, Mariuzza RA, Margulies DH (2002) Structure and function of natural killer cell receptors: multiple molecular solutions to self, nonself discrimination. Annu Rev Immunol 20: 853-885. doi: 10.1146/annurev.immunol.20.100301.064812. PubMed: 11861620. [DOI] [PubMed] [Google Scholar]
- 4. Long EO (1999) Regulation of immune responses through inhibitory receptors. Annu Rev Immunol 17: 875-904. doi: 10.1146/annurev.immunol.17.1.875. PubMed: 10358776. [DOI] [PubMed] [Google Scholar]
- 5. Isakov N (1997) Immunoreceptor tyrosine-based activation motif (ITAM), a unique module linking antigen and Fc receptors to their signaling cascades. J Leukoc Biol 61: 6-16. PubMed: 9000531. [DOI] [PubMed] [Google Scholar]
- 6. Khakoo SI, Rajalingam R, Shum BP, Weidenbach K, Flodin L et al. (2000) Rapid evolution of NK cell receptor systems demonstrated by comparison of chimpanzees and humans. Immunity 12: 687-698. doi: 10.1016/S1074-7613(00)80219-8. PubMed: 10894168. [DOI] [PubMed] [Google Scholar]
- 7. Sambrook JG, Bashirova A, Palmer S, Sims S, Trowsdale J et al. (2005) Single haplotype analysis demonstrates rapid evolution of the killer immunoglobulin-like receptor (KIR) loci in primates. Genome Res 15: 25-35. doi: 10.1101/gr.2381205. PubMed: 15632087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Rajalingam R, Parham P, Abi-Rached L (2004) Domain shuffling has been the main mechanism forming new hominoid killer cell Ig-like receptors. J Immunol 172: 356-369. PubMed: 14688344. [DOI] [PubMed] [Google Scholar]
- 9. Guethlein LA, Flodin LR, Adams EJ, Parham P (2002) NK cell receptors of the orangutan (Pongo pygmaeus): a pivotal species for tracking the coevolution of killer cell Ig-like receptors with MHC-C. J Immunol 169: 220-229. PubMed: 12077248. [DOI] [PubMed] [Google Scholar]
- 10. Hershberger KL, Shyam R, Miura A, Letvin NL (2001) Diversity of the killer cell Ig-like receptors of rhesus monkeys. J Immunol 166: 4380-4390. PubMed: 11254692. [DOI] [PubMed] [Google Scholar]
- 11. Bimber BN, Moreland AJ, Wiseman RW, Hughes AL, O'Connor DH (2008) Complete characterization of killer Ig-like receptor (KIR) haplotypes in Mauritian cynomolgus macaques: novel insights into nonhuman primate KIR gene content and organization. J Immunol 181: 6301-6308. PubMed: 18941221. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Mager DL, McQueen KL, Wee V, Freeman JD (2001) Evolution of natural killer cell receptors: coexistence of functional Ly49 and KIR genes in baboons. Curr Biol 11: 626-630. doi: 10.1016/S0960-9822(01)00148-8. PubMed: 11369209. [DOI] [PubMed] [Google Scholar]
- 13. Hershberger KL, Kurian J, Korber BT, Letvin NL (2005) Killer cell immunoglobulin-like receptors (KIR) of the African-origin sabaeus monkey: evidence for recombination events in the evolution of KIR. Eur J Immunol 35: 922-935. doi: 10.1002/eji.200425408. PubMed: 15714591. [DOI] [PubMed] [Google Scholar]
- 14. Palacios C, Cuervo LC, Cadavid LF (2011) Evolutionary patterns of killer cell Ig-like receptor genes in Old World monkeys. Gene 474: 39-51. doi: 10.1016/j.gene.2010.12.006. PubMed: 21185924. [DOI] [PubMed] [Google Scholar]
- 15. Cadavid LF, Lun CM (2009) Lineage-specific diversification of killer cell Ig-like receptors in the owl monkey, a New World primate. Immunogenetics 61: 27-41. doi: 10.1007/s00251-008-0342-y. PubMed: 19009288. [DOI] [PubMed] [Google Scholar]
- 16. Guethlein LA, Older Aguilar AM, Abi-Rached L, Parham P (2007) Evolution of killer cell Ig-like receptor (KIR) genes: definition of an orangutan KIR haplotype reveals expansion of lineage III KIR associated with the emergence of MHC-C. J Immunol 179: 491-504. PubMed: 17579070. [DOI] [PubMed] [Google Scholar]
- 17. Menezes AN, Bonvicino CR, Seuánez HN (2010) Identification, classification and evolution of owl monkeys (Aotus, Illiger 1811). BMC Evol Biol 10: 248. doi: 10.1186/1471-2148-10-248. PubMed: 20704725. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Robinson J, Mistry K, McWilliam H, Lopez R, Marsh SG (2010) IPD--the Immuno Polymorphism Database. Nucleic Acids Res 38: D863-D869. doi: 10.1093/nar/gkp879. PubMed: 19875415. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Käll L, Krogh A, Sonnhammer EL (2004) A combined transmembrane topology and signal peptide prediction method. J Mol Biol 338: 1027-1036. doi: 10.1016/j.jmb.2004.03.016. PubMed: 15111065. [DOI] [PubMed] [Google Scholar]
- 20. Krogh A, Larsson B, von Heijne G, Sonnhammer EL (2001) Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J Mol Biol 305: 567-580. doi: 10.1006/jmbi.2000.4315. PubMed: 11152613. [DOI] [PubMed] [Google Scholar]
- 21. Vivian JP, Duncan RC, Berry R, O'Connor GM, Reid HH et al. (2011) Killer cell immunoglobulin-like receptor 3DL1-mediated recognition of human leukocyte antigen B. Nature 479: 401-405. doi: 10.1038/nature10517. PubMed: 22020283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Chwae YJ, Cho SE, Kim SJ, Kim J (1999) Diversity of the repertoire of p58 killer cell inhibitory receptors in a single individual. Immunol Lett 68: 267-274. doi: 10.1016/S0165-2478(99)00062-0. PubMed: 10424431. [DOI] [PubMed] [Google Scholar]
- 23. Goodridge JP, Lathbury LJ, Steiner NK, Shulse CN, Pullikotil P et al. (2007) Three common alleles of KIR2DL4 (CD158d) encode constitutively expressed, inducible and secreted receptors in NK cells. Eur J Immunol 37: 199-211. doi: 10.1002/eji.200636316. PubMed: 17171757. [DOI] [PubMed] [Google Scholar]
- 24. Maxwell LD, Wallace A, Middleton D, Curran MD (2002) A common KIR2DS4 deletion variant in the human that predicts a soluble KIR molecule analogous to the KIR1D molecule observed in the rhesus monkey. Tissue Antigens 60: 254-258. doi: 10.1034/j.1399-0039.2002.600307.x. PubMed: 12445308. [DOI] [PubMed] [Google Scholar]
- 25. Campbell KS, Purdy AK (2011) Structure/function of human killer cell immunoglobulin-like receptors: lessons from polymorphisms, evolution, crystal structures and mutations. Immunology 132: 315-325. doi: 10.1111/j.1365-2567.2010.03398.x. PubMed: 21214544. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Feng J, Garrity D, Call ME, Moffett H, Wucherpfennig KW (2005) Convergence on a distinctive assembly mechanism by unrelated families of activating immune receptors. Immunity 22: 427-438. doi: 10.1016/j.immuni.2005.02.005. PubMed: 15845448. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Hao L, Nei M (2005) Rapid expansion of killer cell immunoglobulin-like receptor genes in primates and their coevolution with MHC Class I genes. Gene 347: 149-159. doi: 10.1016/j.gene.2004.12.012. PubMed: 15733532. [DOI] [PubMed] [Google Scholar]
- 28. Nei M, Rooney AP (2005) Concerted and birth-and-death evolution of multigene families. Annu Rev Genet 39: 121-152. doi: 10.1146/annurev.genet.39.073003.112240. PubMed: 16285855. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Hughes AL (2002) Evolution of the human killer cell inhibitory receptor family. Mol Phylogenet Evol 25: 330-340. doi: 10.1016/S1055-7903(02)00255-5. PubMed: 12414314. [DOI] [PubMed] [Google Scholar]
- 30. Rajalingam R (2011) Human diversity of killer cell immunoglobulin-like receptors and disease. Korean J Hematol 46: 216-228. doi: 10.5045/kjh.2011.46.4.216. PubMed: 22259627. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Boyington JC, Sun PD (2002) A structural perspective on MHC class I recognition by killer cell immunoglobulin-like receptors. Mol Immunol 38: 1007-1021. doi: 10.1016/S0161-5890(02)00030-5. PubMed: 11955593. [DOI] [PubMed] [Google Scholar]
- 32. Boyington JC, Brooks AG, Sun PD (2001) Structure of killer cell immunoglobulin-like receptors and their recognition of the class I MHC molecules. Immunol Rev 181: 66-78. doi: 10.1034/j.1600-065X.2001.1810105.x. PubMed: 11513153. [DOI] [PubMed] [Google Scholar]
- 33. Committee for the Update of the Guide for the Care and Use of Laboratory Animals (2011) Guide for the Care and Use of Laboratory Animals. Washington, DC: TNA Press. [Google Scholar]
- 34. Qiu X, Wu L, Huang H, McDonel PE, Palumbo AV et al. (2001) Evaluation of PCR-generated chimeras, mutations, and heteroduplexes with 16S rRNA gene-based cloning. Appl Environ Microbiol 67: 880-887. doi: 10.1128/AEM.67.2.880-887.2001. PubMed: 11157258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Lahr DJ, Katz LA (2009) Reducing the impact of PCR-mediated recombination in molecular evolution and environmental studies using a new-generation high-fidelity DNA polymerase. BioTechniques 47: 857-866. PubMed: 19852769. [DOI] [PubMed] [Google Scholar]
- 36. Lenz TL, Becker S (2008) Simple approach to reduce PCR artefact formation leads to reliable genotyping of MHC and other highly polymorphic loci--implications for evolutionary analysis. Gene 427: 117-123. doi: 10.1016/j.gene.2008.09.013. PubMed: 18848974. [DOI] [PubMed] [Google Scholar]
- 37. Thompson JD, Higgins DG, Gibson TJ (1994) CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res 22: 4673-4680. doi: 10.1093/nar/22.22.4673. PubMed: 7984417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Tamura K, Peterson D, Peterson N, Stecher G, Nei M et al. (2011) MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol 28: 2731-2739. doi: 10.1093/molbev/msr121. PubMed: 21546353. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Kimura M (1980) A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol 16: 111-120. doi: 10.1007/BF01731581. PubMed: 7463489. [DOI] [PubMed] [Google Scholar]
- 40. Librado P, Rozas J (2009) DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25: 1451-1452. doi: 10.1093/bioinformatics/btp187. PubMed: 19346325. [DOI] [PubMed] [Google Scholar]
- 41. Zhang J, Rosenberg HF, Nei M (1998) Positive Darwinian selection after gene duplication in primate ribonuclease genes. Proc Natl Acad Sci U S A 95: 3708-3713. doi: 10.1073/pnas.95.7.3708. PubMed: 9520431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Kosakovsky Pond SL, Frost SD (2005) Not so different after all: a comparison of methods for detecting amino acid sites under selection. Mol Biol Evol 22: 1208-1222. doi: 10.1093/molbev/msi105. PubMed: 15703242. [DOI] [PubMed] [Google Scholar]
- 43. Murrell B, Wertheim JO, Moola S, Weighill T, Scheffler K et al. (2012) Detecting individual sites subject to episodic diversifying selection. PLOS Genet 8: e1002764 PubMed: 22807683. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Delport W, Poon AF, Frost SD, Kosakovsky Pond SL (2010) Datamonkey 2010: a suite of phylogenetic analysis tools for evolutionary biology. Bioinformatics 26: 2455-2457. doi: 10.1093/bioinformatics/btq429. PubMed: 20671151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Murrell B, Moola S, Mabona A, Weighill T, Sheward D et al. (2013) FUBAR : A Fast, Unconstrained Bayesian AppRoximation for inferring selection. Mol Biol Evol. 30(5):1196-205 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Martin DP, Lemey P, Lott M, Moulton V, Posada D et al. (2010) RDP3: a flexible and fast computer program for analyzing recombination. Bioinformatics 26: 2462-2463. doi: 10.1093/bioinformatics/btq467. PubMed: 20798170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Tamura K, Nei M (1993) Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees. Mol Biol Evol 10: 512-526. PubMed: 8336541. [DOI] [PubMed] [Google Scholar]
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