Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Comparative Population Genetics of the Immunity Gene, Relish: Is Adaptive Evolution Idiosyncratic?

  • Mia T. Levine ,

    To whom correspondence should be addressed. E-mail: mialevine@ucdavis.edu

    Affiliation Center for Population Biology, University of California at Davis, Davis, California, United States of America

  • David J. Begun

    Affiliation Center for Population Biology, University of California at Davis, Davis, California, United States of America

Abstract

The frequency of adaptive evolution acting on common loci in distant lineages remains an outstanding question in evolutionary biology. We asked whether the immunity factor, Relish, a gene with a history of directional selection in Drosophila simulans, shows evidence of a similar selective history in other Drosophila species. We found only weak evidence of recurrent adaptive protein evolution at the Relish locus in three sister species pairs, suggesting that this key component of the insect immune system has an idiosyncratic evolutionary history in Drosophila.

Introduction

Convergent phenotypic evolution, which results from similar selection pressures in independent lineages, is a common, undisputed property of animal and plant evolution. The frequency of convergent adaptive molecular evolution, however, remains an open question. Convergent adaptive molecular variants may include both amino acid polymorphism [1][6] and amino acid divergence [7][9]. The relatively few examples of such convergent changes are based largely on molecular and functional analysis of proteins with well-defined structures and functions; consequently, the inference of convergent adaptive polymorphism or divergence allows plausible arguments to be made regarding the phenotypic adaptive effects of particular mutations in different lineages. Most gene products are not understood sufficiently well to use such an approach.

An alternative, statistical approach is to use molecular population genetic data to ask whether directional selection is repeatable over evolutionary time. For example, the McDonald-Kreitman test [10], which uses contrasts of polymorphic and fixed variants to test the neutral model of molecular evolution, requires no knowledge of protein structure or specific functions of residues or domains. This allows one to ask the general question of whether a gene with a history of recurrent adaptive protein evolution in one species is likely to have a similar selective history in other species; that is, is directional selection idiosyncratic or predictable? For example, the Drosophila seminal fluid protein gene Acp26Aa was first inferred to have a history of recurrent adaptive protein evolution in the melanogaster subgroup [11]. Acp26Aa was later shown to be under such selection in the obscura group of Drosophila [12], which diverged from the melanogaster subgroup tens of millions of years ago.

The Drosophila innate immune system transcription factor, Relish, is a potentially interesting gene for addressing the question of predictable versus idiosyncratic directional selection. Previous studies demonstrate that the innate immune system, a highly conserved pathway from insects to humans, is vulnerable to signaling disruption by both bacterial and viral pathogens. Moreover, Relish activation and/or signaling repeatedly emerges as a pathogen target. In a vertebrate system, Neish et al. [13] demonstrate that Yersina bacteria disrupts phosphorylation of the human Relish homolog, NF-κB. In an insect system (Drosophila melanogaster), Lindmark et al. [14] and Thoetkiattikul et al. [15] demonstrate Relish signaling disruption by various bacteria and a polydnavirus, respectively.

Compromised immune response in the presence of these pathogens, combined with documented Relish-pathogen interactions, makes this locus a likely target for repeated host-pathogen evolutionary interactions in distantly related taxa. Nevertheless, population genetic data for the Relish locus provided strong evidence of adaptive divergence in D. simulans, but no evidence of adaptive divergence in D. melanogaster [16]. Similarly, the termite Relish locus appears to be rapidly evolving in a subset of lineages [17]. Although Relish likely contributes to immune function in all species examined, the evolutionary dynamics associated with this locus are dramatically different across lineages. To further investigate the repeatability of directional selection at this locus in Drosophila, we characterized the evolutionary forces acting on Relish across three highly diverged sister species-pairs, D. mojavensis/D. arizonae, D. yakuba/D. teissieri, and D. pseudoobscura/D. miranda.

Results and Discussion

Levels of synonymous and nonsynonymous polymorphism at Relish (Table 1) were consistent with previous descriptions Drosophila mojavensis/D. arizonae [18], whereas lower than expected levels of variation were estimated for D. yakuba [19] and D. pseudoobscura [20]. Levels of Relish synonymous divergence in these species pairs were typical of those estimated at other genes. Levels of non-synonymous divergence (scaled to synonymous divergence), however, were highly heterogeneous across species, suggesting the protein evolutionary rates vary due to heterogeneous selection regimes (Table 1).

thumbnail
Table 1. Polymorphism and divergence for all species examined as well as previously published estimates for D. melanogaster and D. simulans.

https://doi.org/10.1371/journal.pone.0000442.t001

We used the McDonald-Kreitman test to determine whether synonymous and non-synonymous variation at Relish supports the hypothesis of adaptive protein evolution. All three species pairs failed to reject the null hypothesis of neutral evolution (Table 2). The D. simulans/D. melanogaster species pair is the only one associated with evidence of adaptive protein evolution at Relish [16].

thumbnail
Table 2. McDonald-Kreitman tests of Relish variation for four species pairs.

https://doi.org/10.1371/journal.pone.0000442.t002

Low levels of polymorphism at Relish in D. yakuba and D. pseudoobscura could be due to recent, strong directional selection at Relish or at linked sites. We used the HKA test [21] to determine whether the polymorphism-to-divergence ratios at Relish were unusual compared to those from the putatively neutral loci Xdh in D. yakuba/D. teissieri, (J. Comeron pers. comm.) and Adh in D. pseudoobscura/D. miranda [22]. Only the D. yakuba/D. teissieri data rejected the null (χ2 = 6.39, p = 0.01), which is consistent with linked selection in this region of the D. yakuba genome. The Relish gene is near the middle of chromosome arm 3R in D. yakuba (D. yakuba genome assembly, v2), which suggests that this result is not due to sampling a large region of reduced polymorphism near centromeres and telomeres [23]. Further analysis of the regions flanking Relish is necessary to determine the extent of reduced polymorphism in this genomic region.

The Relish population genetic data from three, distantly related, Drosophila species pairs generally supports the idea that Relish evolution in the D. melanogaster/D. simulans pair is highly unusual. Previous analyses of D. melanogaster/D. simulans suggest that evidence of strong directional selection at Relish is most likely a D. simulans-lineage phenomenon [16]. This finding raises the interesting question of what D. simulans-specific biological or historical attributes caused the highly unusual history of a key component of the insect immune system.

Methods

Population samples of Relish were sequenced from inbred lines of D. yakuba (P. Andolfatto), D. tessieri (M. Long), D. mojavensis (W. Etges and Tucson Stock Center), D. arizonae (W. Etges), D. pseudobscura (M. Noor), D. miranda (Tucson Stock Center). Most data were obtained by direct sequencing. For the few lines with residual heterozygosity, PCR products were cloned in PCR-4 vector (Topo TA cloning kit, Invitrogen) and individual colonies were sequenced. Population genetic estimators and tests statistics were calculated in DnaSP v.4.0 (Rozas et al. 2003). Sequence data for this paper have been submitted to Genbank under accession numbers EF494515-EF494539.

Acknowledgments

The authors thank the two anonymous reviewers for their valuable suggestions.

Author Contributions

Conceived and designed the experiments: DB ML. Performed the experiments: ML. Analyzed the data: ML. Wrote the paper: DB ML.

References

  1. 1. Charlesworth D, Awadalla P (1998) Flowering plant self-incompatibility: the molecular population genetics of Brassica S-loci. Heredity 81: 1–9.
  2. 2. Hughes A (1999) Adaptive Evolution of Genes and Genomes. New York: Oxford University Press. pp. 54–89.
  3. 3. ffrench-Constant RH, Anthony N, Aronstein K, Rocheleau T, Stilwell G (2000) Cyclodiene insecticide resistance: from molecular to population genetics. Ann Rev Ent 48: 447–464.
  4. 4. Rees JL (2003) Genetics of hair and skin color. Annu Rev Genet. 37: 67–90.
  5. 5. Mundy NI, Badcock NS, Hart T, Scribner K, Janssen , et al. (2004) Conserved genetic basis of a quantitative plumage trait involved in mate choice Science 303: 1870–1873.
  6. 6. Soong TW, Venkatesh B (2006) Adaptive evolution of tetrodotoxin resistance in animals. Trends Genet. 22: 621–626.
  7. 7. Perutz MF (1983) Species adaptation in a protein molecule. Mol. Biol. Evol. 1: 1–28.
  8. 8. Stewart CB, Schilling JW, Wilson AC (1987) Adaptive evolution in the stomach lysozymes of foregut fermenters. Nature 330: 401–404.
  9. 9. Yokoyama S, Yokoyama R (1996) Adaptive evolution of photoreceptors and visual pigments of vertebrates. Ann Rev Ecol Sys 27: 543–567.
  10. 10. McDonald JL, Kreitman M (1991) Adaptive protein evolution at the Adh locus in Drosophila. Nature 351: 652–654.
  11. 11. Aguade M (1997) Positive selection and the molecular evolution of a gene of male reproduction, Acp26Aa of Drosophila. Mol Biol Evol 14: 544–549.
  12. 12. Wagstaff BJ, Begun DJ (2005) Comparative Genomics of accessory gland protein genes in Drosophila melanogaster and D. pseudoobscura. Mol Biol Evol 22: 818–832.
  13. 13. Neish AS, Gewirtz AT, Zeng H, Young AN, Hobert ME, et al. Prokaryotic regulation of epithelial responses by inhibition of IκB-α ubiquitination. Science 289: 1560–1563.
  14. 14. Lindmark H, Johansson KC, Stoven S, Hultmark D, Engstrom Y, et al. (2001) Enteric bacteria counter lipopolysaccharide induction of antimicrobial peptide genes. J. Immunol. 167: 6920–6923.
  15. 15. Thoetkiattikul H, Beck M, Strand MR (2005) Inhibitor kB-like proteins from a polydnavirus inhibit NF-kB activation and suppress the insect immune response. PNAS 102: 11426–11431.
  16. 16. Begun DJ, Whitley P (2000) Adaptive evolution of relish, a Drosophila NF-kappaB/IkappaB protein. Genetics 154: 1231–1238.
  17. 17. Bulmer MS, Crozier RH (2005) Variation in positive selection in Termite GNBPs and Relish. Mol Biol Evol 23: 317–326.
  18. 18. Wagstaff BJ, Begun DJ (2005) Molecular population genetics of accessory gland protein genes and testis-expressed genes in Drosophila mojavensis and D. arizonae. Genetics 171: 1083–1101.
  19. 19. Llopart A, Lachaise D, Coyne J (2005) Multilocus analysis of introgression between two sympatric sister species of Drosophila: Drosophila yakuba and D. santomea. Genetics 171: 197–210.
  20. 20. Schaeffer SW, Walthour CS, Toleno DM, Olek AT, Miller EL (2001) Protein variation in ADH and ADH-RELATED in Drosophila pseudoobscura: Linkage disequilibrium between single nucleotide polymorphisms and protein alleles. Genetics 159: 673–687.
  21. 21. Hudson RR, Kreitman M, Aguadé M (1987) A test of neutral molecular evolution based on nucleotide data. Genetics 116: 153–159.
  22. 22. Schaeffer SW, Miller EL (1991) Nucleotide sequence analysis of Adh genes estimates the time of geographic isolation of the Bogota population of Drosophila pseudoobscura. Proc Natl Acad Sci USA 88: 6097–6101.
  23. 23. Aguade M, Miyashita N, Langley CH (1989) Reduced variation in the yellow-achaete-scute region in natural populations of Drosophila melanogaster. Genetics 122: 607–615.