- Open Access
Duplication and selection in the evolution of primate β-defensin genes
© Semple et al.; licensee BioMed Central Ltd. 2003
- Received: 27 February 2003
- Accepted: 3 April 2003
- Published: 17 April 2003
Innate immunity is the first line of defense against microorganisms in vertebrates and acts by providing an initial barrier to microorganisms and triggering adaptive immune responses. Peptides such as β-defensins are an important component of this defense, providing a broad spectrum of antimicrobial activity against bacteria, fungi, mycobacteria and several enveloped viruses. β-defensins are small cationic peptides that vary in their expression patterns and spectrum of pathogen specificity. Disruptions in β-defensin function have been implicated in human diseases, including cystic fibrosis, and a fuller understanding of the variety, function and evolution of human β-defensins might form the basis for novel therapies. Here we use a combination of laboratory and computational techniques to characterize the main human β-defensin locus on chromosome 8p22-p23.
In addition to known genes in the region we report the genomic structures and expression patterns of four novel human β-defensin genes and a related pseudogene. These genes show an unusual pattern of evolution, with rapid divergence between second exon sequences that encode the mature β-defensin peptides matched by relative stasis in first exons that encode signal peptides.
We conclude that the 8p22-p23 locus has evolved by successive rounds of duplication followed by substantial divergence involving positive selection, to produce a diverse cluster of paralogous genes established before the human-baboon divergence more than 23 million years ago. Positive selection, disproportionately favoring alterations in the charge of amino-acid residues, is implicated as driving second exon divergence in these genes.
- Bacterial Artificial Chromosome
- Additional Data File
- Nonsynonymous Substitution
- Bacterial Artificial Chromosome Sequence
- Olive Baboon
The vertebrate innate immune system provides protection against a wide range of pathogenic microorganisms, and defensins are an important component of this response as well as having a role in adaptive immunity. In mammals, the defensins can be divided into the α- and β-defensin subfamilies on the basis of differences in the spacing of six, conserved cysteine residues. The α-defensins are produced by neutrophils and intestinal Paneth cells, whereas the β-defensins are mainly produced by epithelial cells in contact with the environment. The functions of human β-defensins seem to be disrupted in cystic fibrosis and inflammatory skin lesions such as psoriasis [1, 2]. A fuller knowledge of the human complement of β-defensins may therefore be useful in understanding human disease as well as in the design of novel, synthetic antimicrobial peptides.
The known human β-defensin genes show a conserved two-exon structure: the first exon encodes a signal peptide whereas the second exon encodes a short propiece and the mature defensin peptide with a characteristic six-cysteine motif and many basic amino-acid residues . The β-defensin genes are present at five syntenic loci in the human and mouse genomes, with the main locus on human chromosome 8p22-23 and mouse chromosome 8A3 . All four, full-length, human β-defensins that are present in the public databases are from 8p22-23 (GenBank sequence accession numbers are human β-defensin 1 or DEFB1, Q09753; DEFB4 (formerly DEFB2), O15263; DEFB103 (formerly DEFB3), NP_061131; DEFB104 (formerly DEFB4), CAC85520), but there are substantial differences in their coding sequences, expression patterns and antimicrobial activities. DEFB1 is constitutively expressed in many tissues (respiratory tract, kidney, urogenital and oral cavity epithelia) whereas DEFB4 is expressed in response to bacterial infection or proinflammatory agonists in respiratory tract epithelial cells, and epidermal and gingival keratinocytes. Both DEFB1 and DEFB4 proteins have salt-sensitive, bactericidal activity against a spectrum of Gram-positive and Gram-negative enteric, urinary tract, and respiratory bacteria in vitro . DEFB103 is expressed in epithelial cells, adult heart, skeletal muscle, placenta and fetal thymus, it has broad-spectrum antimicrobial activity under conditions of low salt and (unusually among β-defensins) it retains activity against Staphylococcus aureus even in physiological saline. DEFB104 achieves highest expression in the testis (with lower levels in gastric antrum, neutrophils, uterus, thyroid, lung and kidney) and was found to be inducible in the respiratory epithelium upon exposure to Pseudomonas aeruginosa or Streptococcus pneumoniae .
The evolution of various genes involved in the vertebrate immune system has involved duplication followed by selection to provide responses to a wide range of pathogens, with well documented examples in immunoglobulin  and major histocompatibility complex genes . Hughes and Yeager  studied the evolution of α-defensins and found evidence for duplication followed by diversification driven by positive selection. Similar phenomena were also implicated in the evolution of bovine β-defensins  and amphibian antimicrobial peptides . In contrast, DEFB1 was found not to vary significantly across primates .
Here we describe a combined strategy to identify further β-defensin genes in the draft human genome sequence using computational techniques and verification using reverse transcription-PCR. Four full-length, novel genes (DEFB105, DEFB106, DEFB107, DEFB108) and a related pseudogene DEFB109p are reported, as well as their expression patterns and evidence for their evolution by duplication and positive selection.
All TBLASTX  matches to human bacterial artificial chromosome (BAC) clone sequences were in the 8p22-p23 region in a subsection of FPC contig ctg45 (1 April freeze WashU Accession Map Layout Files ) bounded by the BAC clones RP11-161B1 (AC079018) and SCb-177K12 (AF252831) and consisting of 53 BACs in total. These 53 BACs were deemed to represent the human β-defensin gene family locus and were masked for repetitive sequences using RepeatMasker . This locus was the subject of a more sensitive search for the presence of novel human β-defensins, using a hidden Markov model constructed from an alignment of the GenBank β-defensin sequences mentioned above. As well as the known, full-length human β-defensins and the related epididymis-specific SPAG11 (formerly EP2) gene , two novel β-defensin genes, DEFB105 and DEFB106, were identified in this search and were then incorporated into the previous hidden Markov model. Further searches with this revised model identified a further three genes: DEFB107, DEFB108 and DEFB109p. None of these five genes was found in the EMBL sequence database (24 June 2002 release) or in the Ensembl genomic annotation database (version 6.28.1 ). The novel gene DEFB109p appears to be a pseudogene as it contains a premature stop codon within its first exon, as observed in three independently sequenced, overlapping 8p22-p23 BAC sequences (accession numbers AC068974, AC087203 and AF252830). Given the absence of premature stop codons in the other four genes, despite considerable divergence among them (they encode only 18-28% identical amino-acid residues), it is unlikely that they too are pseudogenes.
Many putative final exon fragments from novel mouse β-defensins were recently reported by Schutte et al. . However, their data were incomplete and were not supported by experimental verification. They used computational techniques to identify sequences matching a central portion of the mature defensin peptide including the six-cysteine motif characteristic of β-defensins. At best, this method could only identify incomplete final exons encoding this region of the peptide. No attempt was made to delineate precisely the boundaries of final exons or to identify first exons by these authors. In the present study we restrict our attention to complete genes, present in a BAC-clone-based map of the region and verified as encoding real transcripts by RT-PCR. Our full-length novel genes correspond to five final exon fragments (DEFB5, DEFB6, DEFB7, DEFB8 and DEFB9) reported by Schutte et al.  and we have adopted the official HUGO Human Gene Nomenclature Committee  names for these fragments: DEFB105, DEFB106, DEFB107, DEFB108 and DEFB109p (amended from DEFB109) respectively.
RT-PCR amplification confirmed the presence of the computationally predicted, functional genes, but sequencing of these products and subsequent alignment to genomic sequence also uncovered several instances where the actual gene structures differed from those that were predicted. In two cases, DEFB106 and DEFB107, splice sites other than those predicted were used and it was found that the predicted coding sequences had been respectively 36 base-pairs (bp) longer and 9 bp shorter than the actual coding sequences. In the case of DEFB105 RT-PCR verified the two predicted exons but also uncovered an additional, 42-bp intervening exon. The RT-PCR analysis also produced interesting results with respect to the coding sequence of DEFB108. In four independent, sequenced RT-PCR products from one mRNA sample, the amplified DEFB108 sequence was consistently found to differ from the computationally predicted sequence from the human public draft sequence at three nucleotide sites, but was otherwise identical. The three differences observed between predicted and amplified sequences respectively were an A to G at nucleotide 62 (which causes a conservative amino-acid change from lysine to arginine), a T to C at nucleotide 111 (which is a synonymous change) and a C to T at nucleotide 120 (also synonymous). This indicates novel human polymorphisms in DEFB108 and is consistent with observations of high degrees of polymorphism for other human β-defensins  (see also Additional data files 1-6 for the novel gene sequences confirmed by RT-PCR and the computationally predicted sequence of DEFB109p).
Six genes highly similar (85-98% identical at the amino-acid level) to three of the novel human β-defensins (DEFB105, DEFB106 and DEFB107) as well as to DEFB4, DEFB103 and DEFB104, were found within two olive baboon (Papio cynocephalus anubis) draft genomic sequences (GenBank accession numbers AC116558 and AC116559) using BLAST. Full-length sequences were obtained for each baboon gene except the putative DEFB4 ortholog (which lacks a first exon because of gaps in the draft genomic sequences); in all other cases the exonic structure of the putative baboon ortholog was identical to that of the human gene (Figure 2). It is very likely that these sequences originate from the baboon locus orthologous to the human region under study, but without more complete sequence or mapping data for the baboon genome it is impossible to be certain. These novel baboon gene sequences (see Additional data files for the accession numbers), together with the published sequence for olive baboon β-defensin 1 (AAK61474) and the full-length human β-defensins formed the basis for our evolutionary analyses.
Results of comparisons between the second exons of human and baboon genes demonstrating positive selection
DEFB1 vs DEFB104
DEFB103 vs DEFB107
P. cynocephalus anubis
P. cynocephalus anubis
Moreover, in these comparisons dS tends to be rather low relative to the rest of the data set (mean dS = 0.464). Similar results are obtained using this method either modified to take account of the transition-to-transversion ratio R  or using the Jukes-Cantor correction, although the unmodified method is thought to be a more reliable basis for the detection of positive selection . If we assume that synonymous substitutions (which are selectively neutral or nearly so) have accumulated regularly with time, such a pattern of substitution suggests that duplication was followed by rapid nonsynonymous change that subsequently decelerated. Most comparisons involving the second exons of DEFB103, DEFB104 and DEFB107 with the second exons of other genes in the dataset show excesses of dN over dS, but these excesses fail to reach significance by either of the tests used (data not shown). Although some of the comparisons shown in Figure 4b indicate an excess of dS over dN, this is never significant by either of the two statistical tests used.
There is no detectable similarity between the introns of the genes under study except between the five putatively orthologous pairs of human and baboon genes where intronic sequence is available (DEFB103, DEFB104, DEFB105, DEFB106 and DEFB107): each pair shares 74-91% identity over 80-99% of their lengths in spite of many small indel events. In every case these pairs of orthologous introns show a substitution rate that is not significantly different from the value of dS obtained for the coding sequences. In particular, the orthologous intron sequence comparisons for DEFB103, DEFB104 and DEFB107 give substitution-rate estimates of 0.1066 ± 0.010, 0.0816 ± 0.005 and 0.0666 ± 0.004 respectively, which are consistent with the dS estimates for the coding sequences of these pairs: 0.1666 ± 0.077, 0.0856 ± 0.058 and 0.0536 ± 0.049. Thus, the excess of nonsynonymous substitutions observed for the second exons of these genes is not attributable to artificially low dS estimates as a result of sampling error, but is caused by a real increase in dN relative to dS, which is the pattern expected to be generated by positive selection.
Averages for the ratio of radical to conservative amino-acid changes, pR/pC calculated over 47 mammalian genes were reported as 0.81 and 0.49 for charge and the Miyata-Yasunaga (polarity and volume) classification respectively . The equivalent values from Table 1, for comparisons between the second exons of genes showing evidence of positive selection, are all greater than these averages. Furthermore Table 1 shows that there has been a higher rate of change with respect to charge than with respect to polarity and volume (Miyata-Yasunaga amino-acid classification). That is, where there is evidence of positive selection, most nonsynonymous changes have tended to change the charges of the residues encoded but have tended to conserve the polarities and volumes of those residues.
Likelihood ratio tests (LRTs), as implemented by the PAML package  also indicate the operation of positive selection at sites within second exons. These tests indicate whether data (the substitutions inferred from an alignment) are best explained by one of two models of ω = dN/dS. Since ω is a measure of selective pressure on proteins, these models can be used to assess the evidence for variable selective pressures among sites. In a test for positive selection (the presence of sites at which ω > 1) two statistical distributions are compared: a null model that uses a distribution that does not allow for sites with ω > 1 and another model which does allow such sites. Three pairs of site-specific likelihood models were compared that assume variable selective pressure (as determined by the value of ω) among sites but no variation among sequences in the dataset: M0 (one-ratio) and M3 (discrete), M1 (neutral) and M2 (selection), and M7 (beta) and M8 (beta + ω) . The second exon of the pseudogene DEFB109p was omitted from the analysis. The discrete model (M3) with two site classes suggested that 41% of second-exon sites are under positive selection with ω= 1.67 and identified nine amino-acid sites under positive selection at the 95% cutoff. M3 was a significantly better fit to the data than the one-ratio model M0; the LRT statistic is 2Δl = -1061.79-(-1004.12) = 115.32, and p < 0.001 with two degrees of freedom. However the M0-M3 comparison is essentially a test of variability in the ω ratio among sites and does not constitute a rigorous test of positive selection. Model M1 (neutral) assumes two site classes with ω = 0 and ω1 = 1 fixed and with the proportions p and p1 estimated. Model M2 (selection) adds a third site class with the ratio ω2 estimated, it suggests that about 47% of sites are under positive selection with ω2 = 53.17 and identified 12 amino-acid sites under positive selection at the 95% cutoff. The two models can be compared using an LRT as follows, 2Δl = -1030.51 -(-1022.03) = 16.97; p < 0.001 with 2 df. So model M2 is significantly better than M1. Model M7 (beta) assumes a beta distribution for ω over sites. The beta distribution is limited to values between 0 and 1, providing the most flexible null hypothesis for testing positive selection. Model M8 (beta + ω) adds another site class to M7 (beta), with the ω ratio estimated from the data. However, the difference between M7 and M8 is not statistically significant, as indicated by the LRT: 2Δl = -1006.44 -(-1006.44) = 0. Nine particular sites were implicated (in both M2 and M3 models) as being under positive selection with greater than 95% confidence: positions 43, 44, 48, 52, 56, 57, 69, 70 and 73 in Figure 2a. All these positions are close or adjacent to a conserved cysteine residue and so it is possible they are important in determining β-defensin structure. In summary, the PAML analysis indicates that ω varies significantly between sites, and in two separate LRTs the parameters estimated suggest a substantial proportion of sites are under positive selection. In spite of this, the most stringent test (M7 versus M8) does not indicate a significant difference from neutrality. This result may be attributable to the extremely short lengths (33 codons aligned omitting positions with gaps) of the sequences aligned, such an effect was seen when analyzing short (130 codons) lysozyme sequences in the same way .
This study represents the most detailed study of a human β-defensin cluster to date, including the full-length sequences of four novel genes (DEFB105, DEFB106, DEFB107, DEFB108), and a novel pseudogene (DEFB109p), their expression patterns and sequences for the baboon orthologs of six genes from this cluster. The 8p22-23 defensin locus appears to have evolved by successive rounds of duplication followed by substantial divergence, to produce a diverse cluster of paralogous genes defined by these four novel genes and four known β-defensin genes (DEFB4, DEFB103 and DEFB104). Divergence has been most rapid within the second exons of these genes, which encode the mature β-defensin peptide, with many comparisons between paralogous genes showing an excess of nonsynonymous over synonymous substitutions. Statistically significant evidence of elevated nonsynonymous change is seen by two methods in the second exons, indicating the action of positive selection. By contrast, comparisons between the first exons of genes from this cluster, which encode a signal peptide, show an excess of synonymous substitutions consistent with neutral evolution or weak purifying selection. The duplication and subsequent positive selection of these genes predates human-baboon divergence more than 23 million years ago and is consistent with observations that DEFB1 has undergone very little change during the evolution of primates . The positive selection observed has tended to change the charges of residues encoded more than other qualities such as residue polarity or volume. As seems to be the case with other antimicrobial peptides, such as MHC receptors, immunoglobulins and α-defensins [6–8], this selection may be a response to the rapid evolution of pathogens.
In this study the computationally predicted gene structures were found by laboratory work to deviate from the actual structures in three out of five novel genes. These errors in the predictions arose in spite of the fact that the predictions were based on all the β-defensin protein-sequence data available and involved three completed BAC sequences rather than unfinished, gapped sequence. This has implications for purely computational approaches to novel gene discovery such as that of Schutte et al. .
DEFB104 and DEFB108 have no detectable orthologs in the mouse genome and therefore appear to have arisen by duplication since the divergence of rodents and primates; alternatively, there could have been a loss of these genes in the rodent lineage. They are also the best candidates for primate-specific β-defensins as they lack orthologs within all other known mammalian defensins, although our knowledge of mammalian defensins is currently incomplete. As we have shown, the evolution of the DEFB104 mature peptide has been driven by positive selection since its emergence, which is consistent with its novel antimicrobial properties . All defensins were thought to exist as monomers stabilized by three disulfide bridges between their three pairs of conserved cysteines . However, when compared with other known human β-defensins (DEFB1, DEFB4 and DEFB103), DEFB104 was found to have a different number of residues between its second and third, and between its fourth and fifth cysteine residues. Furthermore, DEFB104 was found to have bactericidal activity against Pseudomonas aeruginosa that was more than sixfold stronger than for any other β-defensin . Three of the novel genes described here (DEFB105, DEFB106 and DEFB108) encode mature peptides exhibiting the same spacing of conserved cysteine residues as seen in DEFB104 as well as sharing similar expression patterns, with highest expression in the testes. The functional divergence of β-defensin genes appears to have continued following human-baboon divergence, as exemplified by DEFB107 which displays a serine residue instead of the first canonical cysteine seen in the baboon ortholog. It is notable that a novel mouse β-defensin gene (Defr1), which also lacks the first canonical cysteine, has potent antimicrobial activity against a spectrum of pathogens . In addition a polymorphism in the DEFB1 gene which alters the first canonical cysteine to a serine residue has been shown to produce a peptide which is as active against the microorganisms tested as the usual form . The unusual amino-acid composition of the proteins encoded by the novel genes presented here suggests that they may possess novel functions, indeed the cationic nature of β-defensins is lost in DEFB107 and DEFB108. As shown recently, there may be more subtle consequences of variation in β-defensin protein sequences, affecting dimerization as well as net charge and disulfide bridges . It is worth noting that recent research has identified additional functions for β-defensins that link the innate and adaptive immune response. Both human and mouse β-defensins have been shown to be chemotactic for immature dendritic cells and memory T cells via the CCR6 chemokine receptor . The mouse β-defensin Defb2 has been shown to act directly on immature dendritic cells as an endogenous ligand for Toll-like receptor 4 (TLR-4), inducing upregulation of co-stimulatory molecules and dendritic cell maturation. These events, in turn, trigger robust, type-1 polarized adaptive immune responses in vivo, which suggests that β-defensins may have an important role in immunosurveillance against pathogens .
The expression of the novel antimicrobial peptides reported here in the human male reproductive tract is also of interest. Recent work has shown that the male urogenital tracts in mammals express a broad range of α- and β-defensins, with human DEFB1 expressed in testicular biopsies, seminal plasma and ejaculated spermatozoa . Together with our results demonstrating that DEFB105, DEFB106, DEFB107 and DEFB108 are predominantly expressed in the testes, these data suggest that the male reproductive tract has a complex innate defense mechanism.
The 8p22-23 β-defensin locus has evolved by duplication and subsequent divergence, to produce a diverse cluster of paralogous genes defined by four novel genes (DEFB105, DEFB106, DEFB107, DEFB108), a novel pseudogene (DEFB109p), and three known genes (DEFB4, DEFB103 and DEFB104). We present full-length sequences for the four novel genes, their expression patterns and the predicted sequences for the baboon orthologs of six genes from this cluster. Although comparisons among first-exon sequences of these human genes show little variation, the second-exon sequences that encode the mature β-defensin peptides show substantial divergence. Evolutionary analyses suggest that the divergence seen in second exons has involved positive selection disproportionately favoring alterations in the charge of amino-acid residues.
Identification of novel genes
The following mammalian β-defensin sequences were retrieved from GenBank. Mouse β-defensins: 1-11 (NP_031869, NP_034160, NP_038784, NP_062702, NP_109659, NP_473415, NP_631966, CAC44635, NP_631965, CAD26894, CAD26895), β-defensin 13 (NP_631969), β-defensin 15 (NP_631970), β-defensin 35 (NP_631970), defensin-related peptide (AJ344114). Human: DEFB1 (Q09753), DEFB4 (O15263), DEFB103 (NP_061131), DEFB104 (CAC85520). Rat: Rattus norvegicus β-defensin 1 (NP_113998), β-defensin 2 (O88514). Cow: Bos taurus β-defensin 1 (P46159), β-defensin 2 (P46160), β-defensin 3 (P46161), β-defensin 4 (P46162), β-defensin 5 (P46163), β-defensin 6 (P46164), β-defensin 7 (P46165), β-defensin 8 (P46166), β-defensin 9 (P46167), β-defensin 10 (P46168), β-defensin 11 (P46169), β-defensin 12 (P46170), β-defensin 13 (P46171), tracheal antimicrobial peptide (P25068), lingual antimicrobial peptide (Q28880), enteric β-defensin (O02775), β-defensin C7 (O18815). Pig: Sus scrofa β-defensin 1 (O62697). Goat: Capra hircus β-defensin 1 (O97946), β-defensin 2 (CAA08905). Sheep: Ovis aries β-defensin 1 (O19038), β-defensin 2 (O19039). Rhesus monkey: Macaca mulatta β-defensin 1 (O18794), β-defensin 2 (AAK26259). Olive baboon: Pabio cynocephalus anubis β-defensin 1 (AAK61474). Chimpanzee: Pan troglodytes β-defensin 1 (AAF04110), β-defensin 2 (AAF20154), β-defensin 3 (AAK61549). These sequences were used as TBLASTX (version 2.1.1 with default settings ) queries against the HTG (high-throughput genomic) section of the EMBL database (15 July 2001 release). Hidden Markov models were constructed using HMMER (version 2.1.1 ) to process CLUSTALW (version 1.82 with default settings ) multiple sequence alignments. These models were searched against genomic sequence using WISE2 (version 2-1-20c with the human gene model option ). CLUSTALW alignments of diverse second-exon sequences were corrected using the patterns of gaps seen in the corresponding protein-sequence alignments that were more highly conserved.
All phylogenetic trees were constructed by the neighbour-joining method  based on the proportion of amino-acid sites at which sequences compared were different and omitting alignment gaps. The trees constructed were rooted with chicken gallinacin 1 (GGGAL1; P46156) and the reliability of each branch was assessed using 1,000 bootstrap replications. In pairwise comparisons between nucleotide sequences, the number of synonymous substitutions per synonymous site (dS) and the number of nonsynonymous substitutions per nonsynonymous site (dN) were estimated using the method of Nei and Gojobori , modified to take account of the transition-to-transversion ratio R . R was estimated using the method of Kumar and Nei . In addition, the Jukes-Cantor correction  was applied to account for multiple substitutions at the same site. Two codon-based tests of selection were used. Both tests are based on estimates of dS and dN. Standard errors for dS and dN were calculated using 1,000 bootstrap replicates. In the first test dS and dN and their respective variances are used in a two-tailed Z-test to test the null hypothesis that dN - dS = 0 . In the second test, Fisher's exact test is used to test the null hypothesis that the proportions of synonymous and nonsynonymous differences are the same . Additional tests for the presence of sites under positive selection were carried out using the PAML package , which uses likelihood ratio tests (LRT) to compare models of the variation in dN/dS ratio between sites. The six models recommended by Anisimova et al.  were tested: M0 (one-ratio), M1 (neutral), M2 (selection), M3 (discrete), M7 (beta), and M8 (beta+ω). Intron sequences were aligned using DIALIGN (version 2.1 ) and the numbers of substitutions between them were estimated using Kimura's two-parameter method . All phylogenetic trees, distance calculations and codon-based tests of selection were carried out using MEGA2 . Estimates of the proportions of radical and conservative nonsynonymous substitutions, along with their standard errors, were made using the HON-NEW program  in an extension of earlier methods for the measurement of conservative and radical substitution rates . The radical or conservative nature of nonsynonymous substitutions was assessed with respect to charge and to the polarity and volume of the amino acids (the Miyata-Yasunaga amino-acid classification ).
RT-PCR analysis of gene expression
A range of human RNA samples was purchased from Stratagene (Amsterdam, The Netherlands) (stomach, vulva, ovary, kidney, placenta, thyroid, lung, skeletal, uterus, breast, liver, skin, colon, heart and cervix) and human testis RNA (BD Biosciences Clontech, Oxford). cDNA synthesis was carried out using a first-strand cDNA synthesis kit (Roche, Lewes, UK) according to the instructions, using random hexameric oligonucleotides. PCRs were carried out, using 5 ml of the resultant cDNA according to the following procedures: 94°C for 1 min followed by 35 cycles of 94°C for 30 sec, 55°C for 30 sec and 72°C for 1 min, and a final round of extension for 5 min. Products were analyzed on a 4% NuSIEVE agarose gel (FMC BioProducts, Rockland, ME, USA) by electrophoresis and also cloned using pGEM-T Easy Vector System I (Promega, Southampton). Amplification of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was carried out in parallel with conditions as for the other amplifications, but with an annealing temperature of 56°C. Reactions were verified for RNA amplification by including controls without reverse transcriptase. RT-PCR products were hybridized with a radiolabeled, internal oligonucleotide probe designed to each novel sequence to confirm the presence of the correctly amplified product. Purified plasmid DNA was sequenced from both strands with ABI Prism dRhodamine Terminator Cycle Sequencing Ready Reaction Kit (PE Applied Biosystems, Warrington). Primers and internal probes were designed using the Primer3 primer design program from the Whitehead Institute, Center for Genome Research . The sequences for the primers and internal probes used were as follows: DEFB105: 5' primer: TCTATTTGCTATGTTCTTCATTTTGG, internal oligo: TTCAACTGCCATCAGGTGAG, 3' primer: GCAGCAGAGAAAGTTCAGCC; DEFB106: 5' primer: CGTGCTCTTCTTTCTGACCC, internal oligo: TACAGGGAAGGTGATCGGAG, 3' primer: GTTCTTCATTTTTCCCGCAA; DEFB107: 5' primer: TTTTGGCTGCTCTCATTCTTC, internal oligo: TCACTGTGAAGCCGAATGTC, 3' primer: TGCAGCAAAATGGTGCTAAT; DEFB108: 5' primer: TGCTGTCCTCTTCTTCACCA, internal oligo: GCCAAGTTCTACCAGCCAAG, 3' primer: CGGCTATTTAAACATCTCCCA.
The novel human gene sequences for DEFB105, DEFB106, DEFB107, DEFB108 and DEFB109p, as confirmed by RT-PCR, have been deposited in GenBank under sequence accession numbers AF540977, AF540978, AF540979, AF540980 and AF540981 respectively. The putative baboon orthologs of the human DEFB4 (second exon only), DEFB103, DEFB104, DEFB105, DEFB106 and DEFB107 genes have been also been deposited in GenBank under sequence accession numbers BK000556, BK000557, BK000558, BK000559, BK000560 and BK000561 respectively.
The following files are available with this article: the DNA sequences for olive baboon β-defensins (Additional data file 1), the DNA sequences for human β-defensins (Additional data file 2), the aligned baboon and human DNA sequences (Additional data file 3), the aligned first-exon baboon and human DNA sequences (Additional data file 4), the aligned second-exon baboon and human DNA sequences (Additional data file 5) and the DNA sequences for baboon and human introns (Additional data file 6) and an Excel file listing the full dN, dS and dN - dS estimates for all first and second exon comparisons shown in Figures 4a and b (Additional data file 7). The alignments are in MSF format. The sequence and alignment files are also available from .
This work benefited from the financial support of the UK Medical Research Council. We would also like to thank Gillian Morrison for her initial involvement in this project.
- Goldman MJ, Anderson GM, Stolzenberg ED, Kari UP, Zasloff M, Wilson JM: Human beta-defensin-1 is a salt-sensitive antibiotic in lung that is inactivated in cystic fibrosis. Cell. 1997, 88: 553-560.PubMedView ArticleGoogle Scholar
- Schroder JM, Harder J: Human β-defensin-2. Int J Biochem Cell Biol. 1999, 31: 645-651. 10.1016/S1357-2725(99)00013-8.PubMedView ArticleGoogle Scholar
- Lehrer RI, Ganz T: Defensins of vertebrate animals. Curr Opin Immunol. 2002, 14: 96-102. 10.1016/S0952-7915(01)00303-X.PubMedView ArticleGoogle Scholar
- Schutte BC, Mitros JP, Bartlett JA, Walters JD, Jia HP, Welsh MJ, Casavant TL, McCray PB: Discovery of five conserved β-defensin gene clusters using a computational search strategy. Proc Natl Acad Sci USA. 2002, 99: 2129-2133. 10.1073/pnas.042692699.PubMedPubMed CentralView ArticleGoogle Scholar
- O'Neil DA, Porter EM, Elewaut D, Anderson GM, Eckmann L, Ganz T, Kagnoff MF: Expression and regulation of the human beta-defensins DEFB1 and DEFB4 in intestinal epithelium. J Immunol. 1999, 163: 6718-6724.PubMedGoogle Scholar
- Ota T, Sitnikova T, Nei M: Evolution of vertebrate immunoglobulin variable gene segments. Curr Top Microbiol Immunol. 2000, 248: 221-245.PubMedGoogle Scholar
- Hughes AL, Yeager M: Natural selection at major histocompatibility complex loci of vertebrates. Annu Rev Genet. 1998, 32: 415-435. 10.1146/annurev.genet.32.1.415.PubMedView ArticleGoogle Scholar
- Hughes AL, Yeager M: Coordinated amino acid changes in the evolution of mammalian defensins. J Mol Evol. 1997, 44: 675-682.PubMedView ArticleGoogle Scholar
- Hughes AL: Evolutionary diversification of the mammalian defensins. Cell Mol Life Sci. 1999, 56: 94-103. 10.1007/s000180050010.PubMedView ArticleGoogle Scholar
- Duda TF, Vanhoye D, Nicolas P: Roles of diversifying selection and coordinated evolution in the evolution of amphibian antimicrobial peptides. Mol Biol Evol. 2002, 19: 858-864.PubMedView ArticleGoogle Scholar
- Del Pero M, Boniotto M, Zuccon D, Cervella P, Spano A, Amoroso A, Crovella S: Beta-defensin 1 gene variability among non-human primates. Immunogenetics. 2002, 53: 907-913. 10.1007/s00251-001-0412-x.PubMedView ArticleGoogle Scholar
- Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997, 25: 3389-3402. 10.1093/nar/25.17.3389.PubMedPubMed CentralView ArticleGoogle Scholar
- Genome Sequencing Center, Washington University in St. Louis. [http://genome.wustl.edu]
- RepeatMasker. [http://ftp.genome.washington.edu/RM/RepeatMasker.html]
- Frohlich O, Po C, Murphy T, Young LG: Multiple promoter and splicing mRNA variants of the epididymis-specific gene EP2. J Androl. 2000, 21: 421-430.PubMedGoogle Scholar
- Hubbard T, Barker D, Birney E, Cameron G, Chen Y, Clark L, Cox T, Cuff J, Curwen V, Down T, et al: The Ensembl genome database project. Nucleic Acids Res. 2002, 30: 38-41. 10.1093/nar/30.1.38.PubMedPubMed CentralView ArticleGoogle Scholar
- HUGO Human Gene Nomenclature Committee. [http://www.gene.ucl.ac.uk/nomenclature]
- Salvatore F, Scudiero O, Castaldo G: Genotype-phenotype correlation in cystic fibrosis: The role of modifier genes. Am J Med Genet. 2002, 111: 88-95. 10.1002/ajmg.10461.PubMedView ArticleGoogle Scholar
- White SH, Wimley WC, Selsted ME: Structure, function, and membrane integration of defensins. Curr Opin Struct Biol. 1995, 5: 521-527. 10.1016/0959-440X(95)80038-7.PubMedView ArticleGoogle Scholar
- Nei M, Gojobori T: Simple methods for estimating the numbers of synonymous and nonsynonymous nucleotide substitutions. Mol Biol Evol. 1986, 3: 418-426.PubMedGoogle Scholar
- Zhang J, Rosenberg HF, Nei M: Positive Darwinian selection after gene duplication in primate ribonuclease genes. Proc Natl Acad Sci USA. 1998, 95: 3708-3713. 10.1073/pnas.95.7.3708.PubMedPubMed CentralView ArticleGoogle Scholar
- Kumar S, Nei M: Molecular Evolution and Phylogenetics. 2000, New York: Oxford University PressGoogle Scholar
- Zhang J: Rates of conservative and radical nonsynonymous nucleotide substitutions in mammalian nuclear genes. J Mol Evol. 2000, 50: 56-68.PubMedGoogle Scholar
- Yang Z: PAML: a program package for phylogenetic analysis by maximum likelihood. Comput Appl Biosci. 1997, 13: 555-556.PubMedGoogle Scholar
- Yang Z, Nielsen R: Codon-substitution models for detecting molecular adaptation at individual sites along specific lineages. Mol Biol Evol. 2002, 19: 908-917.PubMedView ArticleGoogle Scholar
- Garcia JR, Krause A, Schulz S, Rodriguez-Jimenez FJ, Kluver E, Adermann K, Forssmann U, Frimpong-Boateng A, Bals R, Forssmann WG: Human β-defensin 4: a novel inducible peptide with a specific salt-sensitive spectrum of antimicrobial activity. FASEB J. 2001, 15: 1819-1821.PubMedGoogle Scholar
- Morrison G, Rofle M, Kilanowski F, Cross S, Dorin JR: Identification and characterisation of a novel murine β-defensin related gene. Mamm Genome. 2002, 13: 445-451. 10.1007/s00335-002-3014-5.PubMedView ArticleGoogle Scholar
- Circo B, Skerlavaj B, Gennaro R, Amoroso A, Zanetti M: Structural and functional characterization of hBD-1(Ser35), a peptide deduced from a DEFB1 polymorphism. Biochem Biophys Res Commun. 2002, 293: 586-592. 10.1016/S0006-291X(02)00267-X.PubMedView ArticleGoogle Scholar
- Schibli DJ, Hunter HN, Aseyev V, Starner TD, Wiencek JM, McCray PB, Tack BF, Vogel HJ: The solution structures of the human beta-defensins lead to a better understanding of the potent bactericidal activity of HBD3 against Staphylococcus aureus. J Biol Chem. 2002, 277: 8279-8289. 10.1074/jbc.M108830200.PubMedView ArticleGoogle Scholar
- Yang D, Chertov O, Bykovskaia SN, Chen Q, Buffo MJ, Shogan J, Anderson M, Schroder JM, Wang JM, Howard OM, et al: Beta-defensins: linking innate and adaptive immunity through dendritic and T cell CCR6. Science. 1999, 286: 525-528. 10.1126/science.286.5439.525.PubMedView ArticleGoogle Scholar
- Biragyn A, Ruffini PA, Leifer CA, Klyushnenkova E, Shakhov A, Chertov O, Shirakawa AK, Farber JM, Segal DM, Oppenheim JJ, et al: Toll-like receptor 4-dependent activation of dendritic cells by beta-defensin 2. Science. 2002, 298: 1025-1029. 10.1126/science.1075565.PubMedView ArticleGoogle Scholar
- Com E, Bourgeon F, Evrard B, Ganz T, Colleu D, Jegou B, Pineau C: Expression of antimicrobial defensins in the male reproductive tract of rats, mice, and humans. Biol Reprod. 2003, 68: 95-104.PubMedView ArticleGoogle Scholar
- Eddy SR: Profile hidden Markov models. Bioinformatics. 1998, 14: 755-763. 10.1093/bioinformatics/14.9.755.PubMedView ArticleGoogle Scholar
- Higgins DG, Thompson JD, Gibson TJ: Using CLUSTALW for multiple sequence alignments. Methods Enzymol. 1996, 266: 383-402.PubMedView ArticleGoogle Scholar
- WISE2. [http://www.sanger.ac.uk/Software/Wise2]
- Saitou N, Nei M: The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987, 4: 406-425.PubMedGoogle Scholar
- Jukes TH, Cantor CR: Evolution of protein molecules. Mammalian Protein Metabolism. Edited by: Munro HNM. 1969, New York: Academic Press, 21-132.View ArticleGoogle Scholar
- Zhang J, Kumar S, Nei M: Small-sample tests of episodic adaptive evolution: a case study of primate lysozymes. Mol Biol Evol. 1997, 14: 1335-1338.PubMedView ArticleGoogle Scholar
- Anisimova M, Bielawski JP, Yang Z: Accuracy and power of bayes prediction of amino acid sites under positive selection. Mol Biol Evol. 2002, 19: 950-958.PubMedView ArticleGoogle Scholar
- Morgenstern B: DIALIGN 2: improvement of the segment-to-segment approach to multiple sequence alignment. Bioinformatics. 1999, 15: 211-218. 10.1093/bioinformatics/15.3.211.PubMedView ArticleGoogle Scholar
- Kimura M: A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol. 1980, 16: 111-120.PubMedView ArticleGoogle Scholar
- Kumar S, Tamura K, Jakobsen IB, Nei M: MEGA2: molecular evolutionary genetics analysis software. Bioinformatics. 2001, 17: 1244-1245. 10.1093/bioinformatics/17.12.1244.PubMedView ArticleGoogle Scholar
- Hughes AL, Ota T, Nei M: Positive Darwinian selection promotes charge profile diversity in the antigen-binding cleft of class I major-histocompatibility-complex molecules. Mol Biol Evol. 1990, 7: 515-524.PubMedGoogle Scholar
- Miyata T, Miyazawa S, Yasunaga T: Two types of amino acid substitutions in protein evolution. J Mol Evol. 1979, 12: 219-236.PubMedView ArticleGoogle Scholar
- Primer3. [http://www-genome.wi.mit.edu/genome_software/other/primer3.html]
- MRC HGU Semple lab: data/software. [http://www.hgu.mrc.ac.uk/Users/Colin.Semple/lab_data.html]
This article is published under license to BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in allmedia for any purpose, provided this notice is preserved along with the article's original URL.