The New Zealand sea lion (NZSL, Phocarctos hookeri) is a Threatened marine mammal with a restricted distribution and a small, declining, population size. The species is susceptible to bacterial pathogens, having suffered three mass mortality events since 1998. Understanding the genetic factors linked to this susceptibility is important in mitigating population decline. The gene solute carrier family 11 member a1 (Slc11a1) plays an important role in mammalian resistance or susceptibility to a wide range of bacterial pathogens. At present, Slc11a1 has not been characterised in many taxa, and despite its known roles in mediating the effects of infectious disease agents, has not been examined as a candidate gene in susceptibility or resistance in any wild population of conservation concern. Here we examine components of Slc11a1 in NZSLs and identify: i) a polymorphic nucleotide in the promoter region; ii) putative shared transcription factor binding motifs between canids and NZSLs; and iii) a conserved polymorphic microsatellite in the first intron of Slc11a1, which together suggest conservation of Slc11a1 gene structure in otariids. At the promoter polymorphism, we demonstrate a shift away from normal allele frequency distributions and an increased likelihood of death from infectious causes with one allelic variant. While this increased likelihood is not statistically significant, lack of significance is potentially due to the complexity of genetic susceptibility to disease in wild populations. Our preliminary data highlight the potential significance of this gene in disease resistance in wild populations; further exploration of Slc11a1 will aid the understanding of susceptibility to infection in mammalian species of conservation significance.
Citation: Osborne AJ, Pearson J, Chilvers BL, Kennedy MA, Gemmell NJ (2015) Examining the Role of Components of Slc11a1 (Nramp1) in the Susceptibility of New Zealand Sea Lions (Phocarctos hookeri) to Disease. PLoS ONE 10(4): e0122703. https://doi.org/10.1371/journal.pone.0122703
Academic Editor: Junwen Wang, The University of Hong Kong, HONG KONG
Received: November 27, 2014; Accepted: February 13, 2015; Published: April 14, 2015
Copyright: © 2015 Osborne et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: Funding was provided by the University of Otago; subcontract to NJG from Landcare Research’s FRST OBI "Sustaining and Restoring Biodiversity" contract #C09X0503; and University of Otago Department of Anatomy PhD Scholarship to AJO. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
The regularity with which marine mammals are subject to epizootic episodes is well documented  and mass mortality events are far from rare . Many pinniped species have undergone mass mortalities in recent years, often due to viral pathogens such as influenza , herpesvirus  and more commonly morbilivirus [5–8], however bacterial infection has also been seen . The New Zealand sea lion (Phocarctos hookeri, NZSL) appears to be highly susceptible to infection by bacterial pathogens. Episodic disease events have been a frequent occurrence in the recent history of the NZSL population; three outbreaks have been documented since 1998, resulting in high levels of mortality of pups especially, but also of adults in one event [2, 10, 11]. For the approximately 40 years prior to the mass mortality events of 1997/1998 and beyond, the NZSL population level had been static (Taylor, 1971, Wilkinson et al., 2003, Wilkinson et al., 2006). While pinniped populations often recover after mass mortality events, the NZSL population has not, and is now in decline . Resource competition with fisheries is a significant cause of decline of the NZSL population [13–15], but disease episodes resulting in high mortality may also be significantly impacting population growth . Thus, understanding the nature of the susceptibility of the NZSL to these bacterial pathogens is important if further population decline is to be avoided.
It is suggested that novel disease episodes within a species are not usually caused by new infectious organisms, rather they are caused by ‘host shifts’, where known agents infect new hosts . Therefore much can be understood by investigating genes that have known involvement in disease resistance and/or susceptibility in other mammalian species. A common point of focus is the major histocompatibility complex (MHC) and other parts of the acquired immune system (e.g.[17–28]). However, elements of innate immunity systems have been seldom explored, but are known to contribute to susceptibility or resistance to a variety of pathogens (e.g.).
As a step towards addressing the absence of data on the elements of innate immunity, here we investigate the gene solute carrier family 11 member a1 (Slc11a1, previously known as natural resistance associated macrophage protein 1 Nramp1), which is involved in resistance to a broad array of bacterial pathogens . While this gene has never before been studied in wildlife species of conservation concern, it is an excellent candidate through which genetic susceptibility or resistance to bacterial infection might be conferred. Slc11a1 plays an important role in innate immunity, preventing bacterial growth in the early stages of infection ; it may either contribute to bactericidal activities of macrophages or be involved in more general processes of macrophage activation . Slc11a1 is expressed exclusively in macrophages and polymorphonuclear leukocytes [31, 33, 34] and encodes a membrane protein that has structural homology to transport proteins . It is involved in the movement of iron ions from macrophage phagolysosomes to the cytoplasm, and because excess iron in phagolysosomes supports pathogen proliferation  the pump function starves the phagolysosomal compartment, and consequently the pathogen, of this essential cation  and prevents replication of intracellular parasites. The SLC11A1 protein has a structure and function that has been highly conserved through evolution [31, 37]. Sllc11a1 homologs are widely identified and highly conserved from yeast to humans , suggesting an ancient origin of at least one billion ya .
SLC11A1 is implicated as a strong candidate for human susceptibility to tuberculosis [40, 41], and has been associated with autoimmune and infectious disease in human conditions such as rheumatoid arthritis, multiple sclerosis, pulmonary tuberculosis, visceral leishmaniasis and meningococcal meningitis [30, 42]. In other species, Slc11a1 has been shown to have a broad role in resistance to multiple bacterial pathogens. A microsatellite detected in the 3' untranslated region of SLC11A1 is associated with resistance to brucellosis infection in cattle and water buffalo [43–47], paratuberculosis (Johne’s disease) in cattle  and resistance to and severity of paratuberculosis infection in sheep . In mice, Slc11a1 is associated with resistance to intracellular pathogens such as Mycobacterium, Salmonella and Leishmania [31, 50–53]. In dogs, polymorphisms residing in the promoter region [54, 55], microsatellite length variants within intron 1 of the gene , and the complete deletion of exon 11 (encoding a consensus transport motif of the protein)  are all associated with Leishmania susceptibility. Finally, in chickens, a single amino acid change was identified only in cell lines susceptible to Salmonella enterica . Thus, data from multiple species suggests a complex and broad role for Slc11a1 in resistance to multiple strains of bacterial pathogen and we hypothesise that this gene may be influencing NZSL resistance to novel bacterial pathogens.
Here we describe sequenced regions of the Slc11a1 that have been previously associated with resistance to bacterial infection in dogs [54, 57]. We aimed to identify conserved elements within the gene that would be indicative of conserved function between mammalian taxa, and polymorphisms that may be linked to susceptibility and resistance to bacterial pathogens in the NZSL using a cohort of animals where cause of death was known.
The cohort used here consists of 93 live NZSL pups, and a further 92 with known causes of death as determined by autopsy. Samples were collected on public land between the 2000/2001 and the 2004/2005 Austral summer breeding seasons from Sandy Bay, Enderby Island, in the Auckland Islands group (50°42′S 166°5′E). Dead pups had been assigned a known cause of death at autopsy, and here we include those that died from bacterial infection (n = 23), hookworm-related enteritis (n = 32) and ‘other’ (n = 37) where ‘other’ includes pups that died from causes other than pathogenic (trauma, malnutrition or stillbirth).
The NZSL is a protected species under the Marine Mammal Protection Act (1978), administered by the New Zealand Department of Conservation (DOC). Samples presented in this paper were collected with funding from the NZ Department of Conservation, and approvals for sample collection were obtained from the DOC Animal Ethics Committee (Approvals AEC52 1 June 2002 and AEC86, 31 December 2004).
PCR amplification and sequencing
DNA was extracted as described in Osborne et al. 2013 . Part of the promoter region of Slc11a1 (377bp) was amplified using oligonucleotides previously designed for application to the dog genome : NRAMP1-F 5’-CCTCTCAGCTAGTCTGAGCC—3’ and NRAMP1-R 5’—CAGCTGATCTCAGCTGTCCTC—3’. Amplification of the partial promoter region was achieved by polymerase chain reaction (PCR) of genomic DNA in 10μL reaction volumes containing ca. 50ng template DNA, 20mM Tris-HCl, 50mM KCl, 5nmol each dATP, dTTT, dGTP and dCTP, 1pmol each primer, 2mM MgCl2, 6% DMSO and 0.1 unit Taq-Ti DNA polymerase (Fisher Biotec, Australia). Touch-down thermal cycling parameters  were as follows: initial denaturation at 94°C for 5 minutes, followed by 10 cycles of 94°C for 20 seconds, 65°C for 20 seconds, and 72°C for 30 seconds. Next, 40 cycles of 94°C for 20 seconds, annealing temperature (Tx) for 20 seconds and 72C for 30 seconds were performed, where Tx decreased by 0.5°C per cycle, beginning at 65°C. This was finalised by an extension step of 72°C for 5 minutes. PCR products were sequenced using an ABI 3730xl DNA Analyser (Applied Biosystems, Carlsbad, CA, USA) using the Genetic Analysis Service at the University of Otago and analysed with the program Geneious . NZSL-specific primers for Slc11a1 were designed with the program Primer3 : NZSL_F 5’—GAAGAACCAAGTTCAGAGAAAGG-3’ and NZSL_R 5’- TCTGGCGGAAGAGTCTTGT-3’, using DNA sequences that were successfully obtained from PCR on NZSL DNA with canine primers, and PCR amplification was carried out as described above.
Intron 1 microsatellite genotyping
The intron 1 microsatellite was amplified using primers designed to the dog genome : NRMICRI1-F 5’—TGTAAAACGACGGCCAGTGAGTCTGCTTGAGATTCTCTC—3’, NRMICRI1-R 5’—TATCACCTCCACCCTTCAAAC—3’. The forward primer was fluorescently labelled with a 5’ M13 tag (underlined above) for subsequent genotyping , for which reaction conditions were ca. 50ng template DNA, 20mM Tris-HCl, 50mM KCl, 5nmol each dATP, dTTT, dGTP and dCTP, 1pmol M13 primer, 1pmol reverse primer, 0.25pmol forward primer, 2mM MgCl2, 6% DMSO, 75mM TMAC and 0.1 unit Taq-Ti DNA polymerase (Fisher Biotec, Wembley, WA, Australia). Thermal cycling parameters were as follows: initial denaturation 94°C for 5mins; 35 cycles of: 94°C for 30 seconds, 45°C for 30 seconds, 72°C for 45 seconds; 8 cycles of: 94°C for 30 seconds, 53°C for 30 seconds, 72°C for 45 seconds; final extension 72°C for 10 mins. PCR products were genotyped using an ABI 3730xl DNA Analyser and analysed with the program GeneMapper (both Applied Biosystems, Carlsbad, CA, USA). For microsatellite analyses only, the number of individuals analysed were: n = 18 (bacteria), 30 (enteritis), 34 (other). These differences are due to differing PCR success between the Slc11a1 partial promoter sequence and the microsatellite.
The products amplified from oligonucleotide primers for the intron 1 microsatellite were sequenced in dead NZSL pups by Sanger sequencing methods  to ensure the correct region had been isolated. Sequencing through repetitive regions often leads to error and can mean the sequence is unreadable beyond the repeat region. Therefore, while this method is not ideal since only the flanking regions are amplified, it is sufficient for the purpose of identifying the amplified region. The sequence obtained for the forward strand aligned to canine Slc11a1 sequence upstream of the repeat region, and the reverse strand aligned (in reverse complement) downstream of the repeat region, indicating that the correct region of NZSL DNA was being amplified.
Transcription factor binding prediction
The program MatInspector  was used to identify putative transcription factor binding sites, and from these we determined what effect the base substitution had on the integrity of predicted transcription factor binding sites.
Comparative analysis by sequence alignment
The integrity of the region of the NZSL promoter amplified here was investigated in other mammals through multiple sequence alignment of cattle (Bos taurus, AY438096), sheep (Ovis aries, AF128882), pig (Sus scrofa, EU135795) human (Homo sapiens, NG_012128) and dog (Canis familiaris, AF091049) Slc11a1 sequences. Mammalian sequences were aligned to the NZSL promoter region using the default alignment method in Geneious . We also looked for evidence of intraspecific polymorphism in several mammalian species, for which adequate data were available, using the dbSNP database for Short Genetic Variations (http://www.ncbi.nlm.nih.gov/SNP/), with search terms limited to exclude ‘homo’ (Homo sapiens) sequence submissions. Retrieved sequences were aligned using MAFFT (Multiple Alignment using Fast Fourier Transform, http://www.ebi.ac.uk/Tools/msa/mafft/help/).
The statistics package R  was used to explore the association between i) the promoter polymorphism, and ii) length variation in the intron 1 microsatellite with cause of death in the NZSL pup population by use of Chi-squared tests and Fisher’s Exact Test for count data using the R package EpiTools . Additionally, EpiTools was used to calculate whether or not genotypes were in Hardy Weinberg equilibrium. Where appropriate, post-hoc power analyses were undertaken in R using the program GPOWER . GenePop version 4.0.10  was used to investigate whether or not any linkage disequilibrium was present between the promoter polymorphism and alleles of the microsatellite. Phase v2.1  was used to reconstruct haplotypes including both the promoter polymorphism and the microsatellite.
Initial PCR of NZSL DNA with primers designed to the dog genome was inefficient and amplified only ~80% of individuals, likely due to lack of full complementarity between primers and the target sequence due to the presence of primer site polymorphisms in some individuals. New primers (NZSL_F and NZSL_R) designed to NZSL DNA from those individuals that were successfully amplified and sequenced with the canine primers resulted in consistent amplification of 377bp of promoter sequence after trimming (S1A Fig). This sequence shared 85% identity with the canine Slc11a1 sequence (accession number AF091049). A single polymorphic site was detected in this region, a guanine (G) to adenine (A) substitution at residue number 317 of the 377bp amplified here (S1A Fig). Both heterozygotes and homozygotes were detected at this site (S1 Fig) and genotype and allele frequencies are reported in Table 1.
Transcription factor binding motifs
The promoter region amplified here showed two putative transcription factor binding motifs of interest: one NF-I site (transforming growth factor-inducible NF-I transcription factor, recognition sequence 5’-YGGMN5-6GCCAA-3’) and seven putative IFN-γ (interferon gamma, recognition sequence 5’-CWKKANNY-3’) sites (S2 Fig). These transcription factor binding motifs have previously been identified in the promoter region of the canine Slc11a1 gene . A putative NF-I recognition sequence overlapped with the identified polymorphism in the NZSL promoter sequence.
Other predicted binding sites that occur in the NZSL promoter sequence are: AP1 (activator protein-1, 5’-TGASTMA-3’, one site), AP2 (activator protein-2, 5’-CCCMNSSS-3’, one site), GM-CSF (granulocyte macrophage colony-stimulating factor, 5’-CATTW-3’, two sites).
Comparative analysis by sequence alignment
A region of canine SLC11A1 identified as highly variable and associated with disease susceptibility [55, 57] was interrupted in the promoter of NZSL Slc11a1 (S3 Fig). Two notable features from the alignment of NZSL with other mammals were i) the absence in non-human mammals of a repeat region present in humans, and ii) the highly variable region in dogs remains largely intact in all other species, but is interrupted in the NZSL (S4 Fig). A database search of dbSNP retrieved 390 Slc11a1 sequence submissions. Of these 390, 180 spanned the polymorphic site identified in the NZSL promoter region and included data from Bos taurus (cow, n = 1 sequence), Canis familiaris (dog, n = 8 sequences), Mus musculus (mouse, n = 136 sequences), Ovis aries (sheep, n = 1 sequence), Pan troglodytes (chimpanzee, n = 9 sequences), Pongo abelii (orangutan, n = 6 sequences) and Rattus norvegicus (rat, n = 19 sequences). Based on MAFFT alignment, intraspecific polymorphism was detected at the NZSL polymorphic site in all species above, but for those species where only one sequence was retrieved (cow and sheep).
Statistical analysis of promoter polymorphism
In the first instance, genotypes at the promoter polymorphism were identified through Sanger sequencing methods , and each animal was categorised according to status (live or dead) and cause of death (bacteria, enteritis, other, where ‘other’ is defined as death from trauma, malnutrition or stillbirth, Table 1).
No differences in genotype frequency distribution were observed between status groups, as determined by Fisher’s Exact Tests, Table 2 (Fisher’s Exact Test number 1, AG and GG versus AA genotype: AG, OR 1.01, 95% CI 0.19, 4.91, p-value 1; GG, OR 0.86, 95% CI 0.17, 3.92, Fisher’s p value 0.59). Similarly, no statistically significant differences were found between status groups when each allele (G, A) was considered individually (Fisher’s Exact Test number 2, A versus G allele: G, OR 0.89, 95% CI 0.39, 1.97, p-value 0.42). When all dead pups, regardless of cause, were combined and compared to live pups, no difference in allele frequency was observed (Fisher’s Exact Test number 3, A versus G allele: G, OR 1.04, 95% CI 0.69, 1.58, p-value 0.92).
Genotype frequencies for animals dying of bacteria and enteritis appear to be inconsistent with neutrality when displayed on a bar plot (Fig 1), and display a shift towards the GG homozygote state, compared to pups dying of other causes, which have a more ‘classic’ appearance of alleles at Hardy Weinberg equilibrium (Fig 1). Despite the bias towards the G allele in pups dying of infectious causes (bacteria, enteritis), genotypes are statistically considered to be in Hardy-Weinberg equilibrium (Table 3).
Genotype frequencies of Slc11a1 promoter polymorphism (as a percentage) by class, n = 185. NZSL classes are animals with known causes of death (bacterial, enteritis, ‘other’) and live pups
Data from animals dying of infection (bacteria, enteritis) were combined and compared with those that died of other causes (essentially an analysis of ‘infected’ versus ‘uninfected’, Table 2 and Table 4), and a shift towards the G allele in infected individuals was observed (Fig 2). Animals possessing the GG genotype were twice as likely to be infected than animals possessing the AA genotype (Table 2, Fisher’s Exact Test number 4, odds ratio 0.45, 95%CI: 0.13,1.47, p-value = 0.23). Likewise, animals possessing the G allele were twice as likely to be infected than animals possessing the A allele (Table 2, Fisher’s Exact Test number 5, odds ratio 0.61, 95%CI: 0.33, 1.10, p-value = 0.13). Since these odds ratios showed p > 0.05, the β value for post-hoc statistical power of analysis was calculated, which was 0.38 . The observed β value is below the threshold required to infer accurate conclusions about significance , and is a consequence of the number of individuals used in this study.
Percentage genotype frequencies of Slc11a1 promoter polymorphism when dead NZSL pups were classified as infected (those with bacterial infection or enteritis) vs. uninfected (those with ‘other’ causes of death)
Intron 1 microsatellite polymorphism
Amplified alleles were assigned numerical identifiers based on their observed fragment size. Of the alleles amplified, two (165bp and 167bp) were common; allele 165 was more frequent than allele 167 (84.15% and 11.59% respectively, Table 5). No significant difference in microsatellite allele frequency between status groups was detected (χ2 = 0.86; p = 0.65). Expected heterozygosity at this locus for all dead pups is 0.28 versus an observed heterozygosity of 0.22 indicating that the microsatellite, while polymorphic, shows little variation. We find no evidence for linkage disequilibrium between the intron 1 microsatellite and the promoter polymorphism for any status group, or across the population (bacteria p = 0.89; enteritis p = 0.06; other p = 0.73; total p = 0.37).
The program Phase v2.1  was used to determine distinct haplotypes (the combination of intron 1 microsatellite and promoter polymorphism) for each individual with a known cause of death, to explore if certain haplotypes/combinations were more frequent in bacterial infection, enteritis infection, or other causes of death (Table 6). Haplotypes containing microsatellite alleles other than 165 and 167 of the intron 1 microsatellite appear relatively infrequently.
As a consequence of low frequencies for some of the haplotypes, only haplotypes H2, H3, H4 and H5 are considered in further analyses. A bar plot of haplotype frequencies, grouped by cause of death, shows that animals dying of ‘other’ causes have a haplotype distribution of the most common haplotypes, H2 and H3, that is more reflective of neutrality than those dying of bacteria or enteritis (S5 Fig); animals dying of bacteria or enteritis show relatively high incidence of haplotype H3. Haplotype H3 is composed of the G variant of the promoter polymorphism and microsatellite allele 165. Analysis with Pearson’s Chi-squared test found no significant differences in haplotype frequencies between the three causes of death (χ2 = 4.78, p = 0.57). Data from infected pups were grouped (where ‘infected’ is defined as those pups dying of both bacteria and enteritis) and compared to data from pups dying from ‘other’ causes. Odds ratios as calculated by Fisher’s Exact Test showed that animals possessing haplotype H3 were twice as likely to be ‘infected’ than animals possessing haplotype H2 (OR 0.56, 95% CI: 0.26, 1.20, p-value = 0.148). However, because both haplotypes contain the same microsatellite allele, the likelihood is that this pattern is driven by the promoter polymorphism frequency differences. We note here that while the odds ratios are of interest, they were not statistically significant.
Here we have demonstrated conservation of gene structural elements between canids and otariids, implying potential conserved function across mammalian taxa. We have identified one polymorphism in 377bp of sequence obtained from the promoter region of the New Zealand sea lion Slc11a1 gene. The polymorphic site lies in a putative transcription factor binding site, which was identified using canid transcription factor recognition sequences. A greater number of pups dying from infectious causes possess the G variant of this polymorphism, and while this pattern is not statistically significant, we have shown that pups with the G variant are twice as likely to be dead from infectious causes, rather than from ‘other’ causes (trauma, malnutrition, stillbirth). We provide evidence of intraspecific polymorphism in other mammalian species using the data currently available. We demonstrate conservation of a polymorphic microsatellite between canids and otariids; however there was no significant difference in frequency of the two most common microsatellite alleles between causes of death, and the locus was determined to be in Hardy Weinberg equilibrium.
Previous work with dogs has shown that haplotypes constructed of combinations of polymorphic loci analysed together (e.g. the intron 1 microsatellite and polymorphisms in G-rich regions on the promoter ), show associations with bacterial disease susceptibility. However, upon reconstruction, no significant difference in haplotype frequencies between different causes of death was seen, and odds ratios of association between haplotypes in infected vs. uninfected individuals were driven by the promoter polymorphism rather than the microsatellite allele. Therefore, in contrast to Sanchez-Robert et al. (2005), these genomic features do not appear to be interacting to produce susceptible or resistant haplotypes in the NZSL. We note that the G variant leads to a two-fold increase in likelihood that an animal is infected. This increased likelihood suggests that the polymorphism may have a role in susceptibility to infectious agents; however post-hoc power analysis of this comparison suggests that the study lacks sufficient power to test this association rigorously. A larger study including more animals with known causes of death would be required to effectively test for an association in this species.
Transcription factor binding sites identified in promoter regions, by bioinformatic analysis, can provide some clues to the function of the genes downstream of those promoters. Slc11a1 is expressed in phagocytic cells [31, 37] and contains binding sites for interferon gamma (IFN-γ), which is involved in macrophage activation . Putative IFN-γ binding sites were detected multiple times in the NZSL Slc11a1 promoter region, consistent with the observation that IFN-γ increases the induction of Slc11a1 gene expression in mice . Indeed, the NZSL Slc11a1 promoter region has many putative regulatory motifs which are conserved between the canid and NZSL genomes , consistent with the previously described role of Slc11a1 in macrophage activation in response to IFN-γ stimulation .
The binding motif for nuclear factor I (NF-I), which is involved in the differentiation between erythrocytes and granulocytes , brain development  and leukaemia , is predicted to span the genomic region containing the promoter polymorphism in NZSLs. This raises the possibility that the polymorphism could alter the binding efficacy of this transcription factor, which might impact gene expression. The single nucleotide polymorphism (SNP) in the NZSL promoter is in a region of the transcription factor recognition sequence which has an ambiguous base; at this particular nucleotide position, either the A or the G variant would complete the sequence needed for recognition by NF-I, if the recognition sequences are functionally conserved between the NZSL and dogs. However, since transcription factor binding regions can vary in binding abilities based on changes to the target sequence , it is possible that the polymorphism detected here might affect the binding kinetics and efficacy of the transcription factor to the target motif in the NZSL promoter region, which could result in changes in Slc11a1 gene expression. However, it is difficult to predict whether this SNP is affecting transcription factor binding, and confirming this would require direct biochemical analysis. We have previously shown that a high degree of homology exists between the canid and NZSL genomes , and it is encouraging to observe predicted shared regulatory motifs, inferring shared function and broader sequence similarity . However, the distribution and nature of transcription factors in NZSL tissues is currently unknown. Although we have demonstrated conservation of regulatory sites, it is possible that these identified sites are no longer functional due to potential divergence of binding motif sequences between the canid and NZSL genomes. If the binding motifs have diverged, it could mean that different motifs are responsible for the regulation of Slc11a1 expression in the NZSL [78, 79]. Thus, at the present time there is little possibility of predicting how changes in transcription factor binding motifs in the NZSL genome are likely to affect the binding of specific transcription factors, and the consequences for gene expression .
The NZSL displays a polymorphic site in a region of guanine nucleotide repeats in the promoter region, and is reflective of an identified variable region in dogs, where polymorphisms in G-rich regions have been associated with disease susceptibility [55, 57]. Polymorphisms in the G-rich regions of the Slc11a1 promoter could have an effect on its expression , because differing lengths of G nucleotides in promoter regions can alter promoter activity in species as diverse as bacteria  and humans . It is possible that interruptions of the G-rich regions of NZSL Slc11a1 promoter region could be altering promoter activity and therefore also gene function. There is evidence of intraspecific polymorphism in published Slc11a1 nucleotide sequences, which could mean that the NZSL polymorphic nucleotide is a commonly variable one. While the majority of the information on intraspecific polymorphism is limited to rodents, we find evidence that the polymorphic site is commonly variable in dogs as well as NZSLs (although all four nucleotides are present, in contrast to just two nucleotides found in the NZSL). The detection of intraspecific polymorphism in two related species that share a large amount of homology suggests a functional role for the nucleotide, however further work, such as in vitro reporter gene assays, is needed to investigate this fully.
Microsatellites within genes often affect their function [83, 84] and this has previously been demonstrated at a polymorphic microsatellite in the promoter region of human SLC11A1 . While substantial proportions of microsatellites are conserved across broad evolutionary timescales , normally only 40–50% of microsatellites are expected to be conserved cross-species, and approximately only half of these are expected to be polymorphic . The demonstrated amplification of a polymorphic microsatellite locus here goes some way to establishing the conservation of the structure and potentially the function of this gene in the NZSL.
While distinct allele frequency differences at the promoter polymorphism were observed in relation to NZSL pup mortality and infection status, and were accompanied by a strong likelihood of infection with the G variant, these differences were not statistically significant, leading one to question the potential cause of non-significance. The NZSL is an observed population only, meaning that any variable factors can not be controlled. This is in contrast to domesticated agricultural populations where there is more control over environmental variables, and higher degrees of genetic homogeneity with populations. Higher homogeneity can lessen the variability in the phenotypes observed within the population and may strengthen the ability to detect associations between genotype and phenotype within and between populations. Environmental variability within the NZSL population is much greater than for most agricultural, laboratory and captive populations; therefore a much larger number of individuals is likely to be required to explore genetic associations with the polygenic traits likely to underlie fitness. It is likely that the factors above account for the higher p-values in detected here, despite strong odds ratios.
Thus, while a larger sample of individuals with assigned cause of death would be required to investigate more rigorously whether Slc11a1 affects disease resistance in this species, our preliminary data, encompassing the conservation of Slc11a1 cross-species, and the likelihoods identified here, illustrate the promising nature of this gene as a candidate for disease resistance and/or susceptibility in this and other mammalian species. We suggest that its investigation should be broadened to include wild populations and those of conservation significance.
377bp of NZSL SLC11A1 promoter region sequence. The polymorphic site is underlined. S1B Fig: NZSL SLC11A1 promoter region sequencing trace. SLC11A1 promoter region polymorphism with variable site highlighted. Each trace represents one of three observed genotype groups in the NZSL.
S2 Fig. Transcription factor binding motifs.
Putative transcription factor binding site motifs (AP1, NF-I, IFN-γ, GMCSF) for NZSL SLC11A1 promoter sequence, with SNP (A—G) indicated in gold. Figure output from Geneious with annotations manually added.
S3 Fig. Alignment of canine and NZSL partial promoter region.
NZSL sequence for SLC11A1 partial promoter region aligned against canine SLC11A1 promoter region. Green bar represents sequence similarity with white gaps showing divergence. Green arrows indicate where NZSL primers bind, with missing NZSL sequence at these sites due to trimming of the sequence. Red arrow indicates the transcription start site in canine sequence. Pale arrow shows the G-rich stretch in dogs associated with susceptibility to infection. This region is interrupted in the NZSL.
S4 Fig. Mammalian multiple sequence alignment.
Multiple sequence alignment of SLC11A1 sequences from cattle, sheep, pig, human, dog and NZSL. Variable region in canine sequence is shown shaded in blue and promoter SNP is shaded in gold in all species.
Thank you to Jacinda Amey, Simon Childerhouse, Padraig Duignan, Wally Hockly, Bruce Robertson, Ian Wilkinson and all other field workers for NZSL sample collection and field data.
Conceived and designed the experiments: NJG AJO BLC. Performed the experiments: AJO. Analyzed the data: AJO JP. Contributed reagents/materials/analysis tools: MAK NJG. Wrote the paper: AJO NJG MAK.
- 1. Harwood J, Hall A. Mass mortality in marine mammals: its implications for population genetics and dynamics. Trends in Ecology and Evolution, 1990. 5(8): p. 254–257. pmid:21232367
- 2. Wilkinson IS, Duignan P, Castinel A, Grinberg A, Chilvers BL, Robertson BC. Klebsiella pneumoniae epidemics: Possible impact on New Zealand sea lion recruitment, in Sea Lions of the World—Conservation and Research in the 21st Century. 22nd Wakefield Fisheries Symposium. 2006: Alaska. p. 385–405.
- 3. Geraci JR, St Aubin DJ, Barker IK, Webster RG, Hinshaw VS, Bean WJ, et al. Mass mortality of harbor seals: pneumonia associated with influenza A virus. Science, 1982. 215(4536): p. 1129–31. pmid:7063847
- 4. Borst GH, Walvoort HC, Reijnders PJ, van der Kamp JS, Osterhaus AD. An outbreak of a herpesvirus infection in harbor seals (Phoca vitulina). Journal of Wildlife Diseases, 1986. 22(1): p. 1–6. pmid:3005664
- 5. Osterhaus ADME, Groen J, Vries PD, Uytdehaag FGCM, Klingeborn B, Zarnke R. Canine distemper virus in seals. Nature, 1988. 335: p. 403–404. pmid:3419515
- 6. Osterhaus A. A morbillivirus causing mass mortality in seals. Vaccine, 1989. 7(6): p. 483–484. pmid:2609721
- 7. Osterhaus A, van de Bildt M, Vedder L, Martina B, Niesters H, Vos J, et al. Monk seal mortality: virus or toxin? Vaccine, 1998. 16(9–10): p. 979–981.
- 8. Kennedy S, Kuiken T, Jepson PD, Deaville R, Forsyth M, Barrett T, et al. Mass die-off of Caspian seals caused by canine distemper virus. Emerging Infectious Diseases, 2000. 6(6): p. 637–639. pmid:11076723
- 9. Vedros NA, Smith AW, Schonewa J, Migaki G, Hubbard RC. Leptospirosis epizootic among California sea lions. Science, 1971. 172(3989): p. 1250. pmid:5576161
- 10. Baker A. Unusual mortality of the New Zealand sea lion, Phocarctos hookeri, Auckland Islands, January-February 1998. Department of Conservation, 1999.
- 11. Castinel A, Pomroy B, Grinberg A. Hookworm infection and Klebsiella pneumoniae epidemics in New Zealand sea lion pups. Veterinary Microbiology, 2007. 125(3–4): p. 388–389. pmid:17658226
- 12. Chilvers BL. Demographic parameters and at-sea distribution of New Zealand sea lions breeding on the Auckland Islands (POP2007/01). 2009, Department of Conservation.
- 13. Chilvers BL. New Zealand sea lions Phocarctos hookeri and squid trawl fisheries: bycatch problems and management options. Endangered Species Research, 2008. 5(2–3): p. 193–204.
- 14. Chilvers BL. Population viability analysis of New Zealand sea lions, Auckland Islands, New Zealand's sub-Antarctics: assessing relative impacts and uncertainty. Polar Biology, 2012. 35(10): p. 1607–1615.
- 15. Robertson BR, Chilvers BL. The population decline of the New Zealand sea lion Phocarctos hookeri: a review of possible causes. Mammal Review, 2011.
- 16. Harvell CD, Kim K, Burkholder JM, Colwell RR, Epstein PR, Grimes DJ, et al. Review: Marine ecology—Emerging marine diseases—Climate links and anthropogenic factors. Science, 1999. 285(5433): p. 1505–1510. pmid:10498537
- 17. Osborne AJ, Zavodna M, Chilvers BL, Robertson BC, Kennedy MA, Gemmell NJ. Extensive variation at MHC DRB in the New Zealand sea lion (Phocarctos hookeri) provides evidence for balancing selection. Heredity, 2013. 111(1): p. 44–56. pmid:23572124
- 18. Boyton RJ, Altmann DM. Natural killer cells, killer immunoglobulin-like receptors and human leucocyte antigen class I in disease. Clinical & Experimental Immunology, 2007. 149(1): p. 1–8.
- 19. Newport MJ, Huxley CM, Huston S, Hawrylowicz CM, Oostra BA, Williamson R, et al. A mutation in the interferon-gamma-receptor gene and susceptibility to mycobacterial infection. New England Journal of Medicine, 1996. 335(26): p. 1941–1949. pmid:8960473
- 20. Acevedo-Whitehouse K, Cunningham AA. Is MHC enough for understanding wildlife immunogenetics? Trends in Ecology & Evolution, 2006. 21(8): p. 433–438.
- 21. Barribeau SM, Villinger J, Waldman B. Major Histocompatibility Complex Based Resistance to a Common Bacterial Pathogen of Amphibians. PLoS ONE, 2008. 3(7): p. e2692. pmid:18629002
- 22. Becker L, Nieberg C, Jahreis K, Peters E. MHC class II variation in the endangered European mink Mustela lutreola (L. 1761)-consequences for species conservation. Immunogenetics, 2009. 61(4): p. 281–288. pmid:19263000
- 23. Edwards SV, Hedrick PW. Evolution and ecology of MHC molecules: from genomics to sexual selection. Trends in Ecology & Evolution, 1998. 13(8): p. 305–311.
- 24. Evans ML, Neff BD. Major histocompatibility complex heterozygote advantage and widespread bacterial infections in populations of Chinook salmon Oncorhynchus tshawytscha. Molecular Ecology, 2009. 18(22): p. 4716–4729. pmid:19821902
- 25. Froeschke G, Sommer S. MHC Class II DRB constitution and parasite load in the striped mouse, Rhabdomys pumilio, in the Southern Kalahari. Molecular Biology and Evolution, 2005. 22: p. 1254–1259. pmid:15703235
- 26. Grimholt U, Larsen S, Nordmo R, Midtlyng P, Kjoeglum S, Storset A, et al., MHC polymorphism and disease resistance in Atlantic salmon (Salmo salar); facing pathogens with single expressed major histocompatibilty class I and class II loci. Immunogenetics, 2003. 55: p. 210–219. pmid:12811427
- 27. Hughes AM, Jokinen P, Bannasch DL, Lohi H, Oberbauer AM. Association of a dog leukocyte antigen class II haplotype with hypoadrenocorticism in Nova Scotia Duck Tolling Retrievers. Tissue Antigens, 2010. 75(6): p. 684–690. pmid:20136772
- 28. Larruskain A, Minguijon E, Garcia-Etxebarria K, Moreno B, Arostegui I, Juste RA, et al. MHC class II DRB1 gene polymorphism in the pathogenesis of Maedi-Visna and pulmonary adenocarcinoma viral diseases in sheep. Immunogenetics, 2010. 62(2): p. 75–83. pmid:20049428
- 29. Akira S, Uematsu S, Takeuchi O. Pathogen Recognition and Innate Immunity. Cell, 2006. 124(4): p. 783–801. pmid:16497588
- 30. Blackwell JM, Searle S, Mohamed H, White JK. Divalent cation transport and susceptibility to infectious and autoimmune disease: continuation of the Ity/Lsh/Bcg/Nramp1/Slc11a1 gene story. Immunology Letters, 2003. 85(2): p. 197–203. pmid:12527228
- 31. Vidal SM, Malo D, Vogan K, Skamene E, Gros P. Natural resistance to infection with intracellular parasites: Isolation of a candidate for Bcg. Cell, 1993. 73(3): p. 469–485. pmid:8490962
- 32. Blackwell JM, Barton CH, White JK, Roach TIA, Shaw MA, Whitehead SH, et al. Genetic regulation of leishmanial and mycobacterial infections—the Lsh/Ity/Bcg gene story continues. Immunology Letters, 1994. 43(1–2): p. 99–107. pmid:7737696
- 33. Govoni G, Gauthier S, Billia F, Iscove NN, Gros P. Cell-specific and inducible Nramp1 gene expression in mouse macrophages in vitro and in vivo. Journal of Leukocyte Biology, 1997. 62(2): p. 277–286. pmid:9261342
- 34. Cellier M, Shustik C, Dalton W, Rich E, Hu JX, Malo D, et al. Expression of the human NRAMP1 gene in professional primary phagocytes: Studies in blood cells and in HL-60 promyelocytic leukemia. Journal of Leukocyte Biology, 1997. 61(1): p. 96–105. pmid:9000542
- 35. Alford CE, King TE, Campbell PA. Role of Transferrin, Transferrin Receptors, and Iron in Macrophage Listericidal Activity. Journal of Experimental Medicine, 1991. 174(2): p. 459–466. pmid:1906922
- 36. Gomes MS, Appelberg R. Evidence for a link between iron metabolism and Nramp1 gene function in innate resistance against Mycobacterium avium. Immunology, 1998. 95(2): p. 165–168. pmid:9824471
- 37. Govoni G, Vidal S, Cellier M, Lepage P, Malo D, Gros P. Genomic Structure, Promoter Sequence, and Induction of Expression of the Mouse Nramp1 Gene in Macrophages. Genomics, 1995. 27(1): p. 9–19. pmid:7665187
- 38. Cellier M, Prive G, Belouchi A, Kwan T, Rodrigues V, Chia W, et al. Nramp Defines a Family of Membrane-Proteins. Proceedings of the National Academy of Sciences of the United States of America, 1995. 92(22): p. 10089–10093. pmid:7479731
- 39. Cellier M, Belouchi A, Gros P. Resistance to intracellular infections: comparative genomic analysis of Nramp. Trends in Genetics, 1996. 12(6): p. 201–204. pmid:8928221
- 40. Liu J, Fujiwara TM, Buu NT, Sanchez FO, Cellier M, Paradis AJ, et al. Identification of polymorphisms and sequence variants in the human homolog of the mouse natural resistance-associated macrophage protein gene. American Journal of Human Genetics, 1995. 56(4): p. 845–853. pmid:7717395
- 41. Malik S, Abel L, Tooker H, Poon A, Simkin L, Girard M, et al. Alleles of the NRAMP1 gene are risk factors for pediatric tuberculosis disease. Proceedings of the National Academy of Sciences of the United States of America, 2005. 102(34): p. 12183–12188. pmid:16103355
- 42. Kissler S, Stern P, Takahashi K, Hunter K, Peterson LB, Wicker LS. In vivo RNA interference demonstrates a role for Nramp1 in modifying susceptibility to type 1 diabetes. Nature Genetics, 2006. 38(4): p. 479–483. pmid:16550170
- 43. Barthel R, Feng J, Piedrahita JA, McMurray DN, Templeton JW, Adams LG. Stable Transfection of the Bovine NRAMP1 Gene into Murine RAW264.7 Cells: Effect on Brucella abortus Survival. Infection and Immunity, 2001. 69(5): p. 3110–3119. pmid:11292730
- 44. Capparelli R, Alfano F, Amoroso MG, Borriello G, Fenizia D, Bianco A, et al. Protective effect of the Nramp1 BB genotype against Brucella abortus in the water buffalo (Bubalus bubalis). Infection and Immunity, 2007. 75(2): p. 988–996. pmid:17145946
- 45. Adams LG, Templeton JW. Genetic resistance to bacterial diseases of animals. Revue Scientifique Et Technique De L Office International Des Epizooties, 1998. 17(1): p. 200–219.
- 46. Feng JW, Li YJ, Hashad M, Schurr E, Gros P, Adams LG, et al. Bovine natural resistance associated macrophage protein 1 (NRAMP1) gene. Genome Research, 1996. 6(10): p. 956–964. pmid:8908514
- 47. Borriello G, Capparelli R, Bianco M, Fenizia D, Alfano F, Capuano F, et al. Genetic resistance to Brucella abortus in the water buffalo (Bubalus bubalis). Infection and Immunity, 2006. 74(4): p. 2115–2120. pmid:16552040
- 48. Pinedo PJ, Buergelt CD, Donovan GA, Melendez P, Morel L, Wu R, et al. Candidate gene polymorphisms (BoIFNG, TLR4, SLC11A1) as risk factors for paratuberculosis infection in cattle. Preventive Veterinary Medicine, 2009. 91(2–4): p. 189–196. pmid:19625093
- 49. Reddacliff LA, Beh K, McGregor H, Whittington RJ. A preliminary study of possible genetic influences on the susceptibility of sheep to Johne's disease. Australian Veterinary Journal, 2005. 83(7): p. 435–441. pmid:16035186
- 50. Bradley DJ, Taylor BA, Blackwell J, Evans EP. Regulation of Leishmania Populations within the Host. 3. Mapping of the Locus Controlling Susceptibility to Visceral Leishmaniasis in the Mouse. Clinical and Experimental Immunology, 1979. 37(1): p. 7–14. pmid:290436
- 51. Vidal S, Tremblay ML, Govoni G, Gauthier S, Sebastiani G, Malo D, et al. The Ity/Lsh/Bcg locus: natural resistance to infection with intracellular parasites is abrogated by disruption of the Nramp1 gene. Journal of Experimental Medicine, 1995. 182(3): p. 655–666. pmid:7650477
- 52. Gros P, Skamene E, Forget A. Genetic control of natural resistance to Mycobacterium bovis (Bcg) in mice. Journal of Immunology, 1981. 127(6): p. 2417–2421. pmid:6795274
- 53. Lissner CR, Swanson RN, and Obrien AD, Genetic control of the innate resistance of mice to Salmonella typhimurium—expression of the Ity gene in peritoneal and splenic macrophages isolated in vitro. Journal of Immunology, 1983. 131(6): p. 3006–3013. pmid:6358358
- 54. Sanchez-Robert E, Altet L, Utzet-Sadurni M, Giger U, Sanchez A, Francino O. SLC11A1 (formerly NRAMP1) and susceptibility to canine visceral leishmaniasis. Veterinary Research, 2008. 39(3). pmid:18316019
- 55. Altet L, Francino O, Solano-Gallego L, Renier C, Sanchez A. Mapping and Sequencing of the Canine NRAMP1 Gene and Identification of Mutations in Leishmaniasis-Susceptible Dogs. Infection and Immunity, 2002. 70(6): p. 2763–2771. pmid:12010961
- 56. Hu JX, Bumstead N, Barrow P, Sebastiani G, Olien L, Morgan K, et al. Resistance to salmonellosis in the chicken is linked to NRAMP1 and TNC. Genome Research, 1997. 7(7): p. 693–704. pmid:9253598
- 57. Sanchez-Robert E, Altet L, Sanchez A, Francino O. Polymorphism of SLC11A1 (NRAMP1) gene and canine leishmaniasis in a case-control study. Journal of Heredity, 2005. 96(7): p. 755–758. pmid:16251521
- 58. Don RH, Cox PT, Wainwright BJ, Baker K, Mattick JS. Touchdown PCR to Circumvent Spurious Priming During Gene Amplification. Nucleic Acids Research, 1991. 19(14): p. 4008–4008. pmid:1861999
- 59. Drummond AJ, Ashton B, Buxton S, Cheung M, Cooper A, Heled J, et al. Geneious v5.1, Available from http://www.geneious.com. 2010.
- 60. Rozen S, Skaletsky HJ. Primer3 on the WWW for general users and for biologist programmers, in Bioinformatics Methods and Protocols: Methods in Molecular Biology, Krawetz S. and Misener S., Editors. 2000, Humana Press: Totowa, NJ. p. pp 365–386.
- 61. Schuelke M. An economic method for the fluorescent labeling of PCR fragments. Nature Biotechnology, 2000. 18(2): p. 233–234. pmid:10657137
- 62. Sanger F, Nicklen S, Coulson AR. DNA sequencing with chain-terminating inhibitors. Proceedings of the National Academy of Sciences of the United States of America, 1977. 74(12): p. 5463–7. pmid:271968
- 63. Cartharius K, Frech K, Grote K, Klocke B, Haltmeier M, Klingenhoff A, et al. MatInspector and beyond: promoter analysis based on transcription factor binding sites. Bioinformatics, 2005. 21: p. 2933–2942. pmid:15860560
- 64. R Core Development Team. R: A language and environment for statistical computing, in Available at http://www.R-project.org/. 2010, R Foundation for Statistical Computing: Vienna, Austria.
- 65. Aragon T. EpiTools: R Package for Epidemiologic Data and Graphics version 0.5–6. Available: http://cran.r-project.org/web/packages/epitools/index.html. 2010.
- 66. Erdfelder E, Faul F, Buchner A. GPOWER: A general power analysis program. Behaviour Research Methods, Instruments and Computers, 1996. 28: p. 1–11. pmid:11540137
- 67. Raymond M, Rousset F. GENEPOP (version 1.2): population genetics software for exact tests and ecumenicism. Journal of Heredity, 1995. 86: p. 248–249.
- 68. Stephens M, Smith N, Donnelly P. A new statistical method for haplotype reconstruction from population data. American Journal of Human Genetics, 2001(68): p. 978–989. pmid:11254454
- 69. Cohen J. Statistical power analysis for the behavioural sciences. Second ed. 1988: Routledge Academic.
- 70. Bancroft GJ, Schreiber RD, Bosma GC, Bosma MJ, Unanue ER. A T-Cell-Independent Mechanism of Macrophage Activation by Interferon-Gamma. Journal of Immunology, 1987. 139(4): p. 1104–1107. pmid:3112223
- 71. Barton CH, Biggs TE, Baker ST, Bowen H, Atkinson PG. Nramp1: a link between intracellular iron transport and innate resistance to intracellular pathogens. Journal of Leukocyte Biology, 1999. 66(5): p. 757–762. pmid:10577506
- 72. Starnes LM, Sorrentino A, Pelosi E, Ballarino M, Morsilli O, Biffoni M, et al. NFI-A directs the fate of hematopoietic progenitors to the erythroid or granulocytic lineage and controls beta-globin and G-CSF receptor expression. Blood, 2009. 114(9): p. 1753–1763. pmid:19542302
- 73. Gronostajski RM. Roles of the NFI/CTF gene family in transcription and development. Gene, 2000. 249(1–2): p. 31–45. pmid:10831849
- 74. Fazi F, Rosa A, Fatica A, Gelmetti V, De Marchis ML, Nervi C, et al. A minicircuitry comprised of MicroRNA-223 and transcription factors NFI-A and C/EBP alpha regulates human granulopoiesis. Cell, 2005. 123(5): p. 819–831. pmid:16325577
- 75. Kasowski M, Grubert F, Heffelfinger C, Hariharan M, Asabere A, Waszak SM, et al. Variation in transcription factor binding among humans. Science, 2010. 328(5975): p. 232–235. pmid:20299548
- 76. Osborne AJ, Brauning R, Schultz JK, Kennedy MA, Slate J, Gemmell NJ. Development of a predicted physical map of microsatellite locus positions for pinnipeds, with wider applicability to the Carnivora. Molecular Ecology Resources, 2011. 11(3): p. 503–513. pmid:21481208
- 77. Dermitzakis ET, Clark AG. Evolution of transcription factor binding sites in mammalian gene regulatory regions: Conservation and turnover. Molecular Biology and Evolution, 2002. 19(7): p. 1114–1121. pmid:12082130
- 78. Borneman AR, Gianoulis TA, Zhang ZDD, Yu HY, Rozowsky J, Seringhaus MR, et al. Divergence of transcription factor binding sites across related yeast species. Science, 2007. 317(5839): p. 815–819. pmid:17690298
- 79. Odom DT, Dowell RD, Jacobsen ES, Gordon W, Danford TW, MacIsaac KD, et al. Tissue-specific transcriptional regulation has diverged significantly between human and mouse. Nature Genetics, 2007. 39: p. 730–732. pmid:17529977
- 80. Wittkopp PJ. Variable transcription factor binding: A mechanism of evolutionary change. Plos Biology, 2010. 8(3).
- 81. Giacani L, Lukehart S, Centurion-Lara A. Length of guanosine homopolymeric repeats modulates promoter activity of subfamily II tpr genes of Treponema pallidum ssp pallidum. Fems Immunology and Medical Microbiology, 2007. 51: p. 289–301. pmid:17683506
- 82. Roberts RL, Gearry RB, Bland MV, Sies CW, George PM, Burt M, et al. Trinucleotide repeat variants in the promoter of the thiopurine S-methyltransferase gene of patients exhibiting ultra-high enzyme activity. Pharmacogenetics and Genomics, 2008. 18(5): p. 434–438. pmid:18408566
- 83. Buschiazzo E, Gemmell NJ. The rise, fall and renaissance of microsatellites in eukaryotic genomes. BioEssays, 2006. 28(10): p. 1040–1050. pmid:16998838
- 84. Kashi Y, King DG. Simple sequence repeats as advantageous mutators in evolution Trends in Genetics, 2006. 22(5): p. 253–259. pmid:16567018
- 85. Searle S, Blackwell JM. Evidence for a functional repeat polymorphism in the promoter of the human NRAMP1 gene that correlates with autoimmune versus infectious disease susceptibility. Journal of Medical Genetics, 1999. 36(4): p. 295–299. pmid:10227396
- 86. Sawaya SM, Lennon D, Buschiazzo E, Gemmell N, Minin VN. Measuring Microsatellite Conservation in Mammalian Evolution with a Phylogenetic Birth-Death Model. Genome Biology and Evolution, 2012. 4(6): p. 748–759.
- 87. Gemmell NJ, Allen PJ, Goodman SJ, Reed JZ. Interspecific microsatellite markers for the study of pinniped populations. Molecular Ecology, 1997. 6(7): p. 661–666. pmid:9226947