Journal of Molecular Evolution

, Volume 69, Issue 2, pp 194–202 | Cite as

Contrasting Patterns of Sequence Evolution at the Functionally Redundant bric à brac Paralogs in Drosophila melanogaster

  • Ryan D. Bickel
  • Wendy S. Schackwitz
  • Len A. Pennacchio
  • Sergey V. Nuzhdin
  • Artyom Kopp
Open Access


Genes with overlapping expression and function may gradually diverge despite retaining some common functions. To test whether such genes show distinct patterns of molecular evolution within species, we examined sequence variation at the bric à brac (bab) locus of Drosophila melanogaster. This locus is composed of two anciently duplicated paralogs, bab1 and bab2, which are involved in patterning the adult abdomen, legs, and ovaries. We have sequenced the 148 kb genomic region spanning the bab1 and bab2 genes from 94 inbred lines of D. melanogaster sampled from a single location. Two non-coding regions, one in each paralog, appear to be under selection. The strongest evidence of directional selection is found in a region of bab2 that has no known functional role. The other region is located in the bab1 paralog and is known to contain a cis-regulatory element that controls sex-specific abdominal pigmentation. The coding region of bab1 appears to be under stronger functional constraint than the bab2 coding sequences. Thus, the two paralogs are evolving under different selective regimes in the same natural population, illuminating the different evolutionary trajectories of partially redundant duplicate genes.


Drosophila melanogaster bric à brac Population genetics Pigmentation Duplicated genes 


Gene duplication makes an important contribution to the evolution of novel functions and the modifications of existing functions (reviewed in Prince and Pickett 2002), and duplicated genes are prevalent throughout metazoans (Holland et al. 1994; Amores et al. 1998; Force et al. 1999; Holland 1999; Cresko et al. 2003; Amores et al. 2004). Two major theories have been advanced for the maintenance of gene duplications. One theory (the neo-functionalization model) postulates that one of the duplicated genes evolves a novel function while losing some aspect of the ancestral function. Thus, both genes are maintained by natural selection, one for the ancestral function and the other for the new function (Ohno 1970). Alternatively, each gene could accumulate complementary degenerative mutations in either coding or regulatory regions, resulting in the loss of a subset of the pre-duplication gene activity. Both copies will then be maintained by selection since both are needed to preserve the ancestral function (the sub-functionalization model) (Force et al. 1999; Lynch and Force 2000).

Both models predict that, once duplicated genes occupy different functional niches, they may come under different selective regimes. Paralogous gene regions responsible for redundant functions may experience similar selective pressures, if their overall activity affects fitness traits. On the other hand, selection acting on different functions may shape sequence evolution at functionally differentiated regions, and the mode and intensity of this selection may be different for each trait. As a result, duplicated genes would evolve in different modes and at different rates, with different functional elements dominating the evolution of each paralog. These ideas have primarily been tested using recently duplicated genes, but even old duplicates can share some functions. Here, we analyze the bric à brac (bab) locus of Drosophila melanogaster, which contains the duplicated paralogs bab1 and bab2 to determine whether we can detect these patterns using intraspecific variation.

bab1 and bab2 are located in a 148 kb continuous region of the genome, and their transcripts span ~57 and ~28 kb, respectively (Fig. 1). The large size of the bab locus and the low levels of linkage disequilibrium in the region (Fig. 2) suggest that separate regulatory modules and coding regions could evolve independently. Both genes function in the proximo-distal patterning of legs and antennae, the development of terminal filaments in the ovary, and the patterning of abdominal sensory organs and abdominal pigmentation (Couderc et al. 2002). Although bab1 and bab2 have overlapping and partially redundant roles in development (Kopp et al. 2000; Couderc et al. 2002), the maintenance of these duplicates in all of the currently sequenced Drosophila genomes (unpublished analysis) suggests that they may have subtle differences in function.
Fig. 1

The bab genomic region. The bab genes are shown in black, CG32334, CG9205, and the 5′ region of trio in gray. Repeat regions identified using RepeatMasker are marked below the ruler. The sites of two transposable element insertions in the D. melanogaster reference genome are marked with triangles

Fig. 2

Linkage disequilibrium in the bab region. For each graph, the mean value of r2 (a) and D′ (b) was calculated for all polymorphisms separated by a given distance and combined into 10 bp bins

Many of the structures patterned by the bab genes are sexually dimorphic, including the gonad (Sahut-Barnola et al. 1995), the sex combs on the front legs of males (Godt et al. 1993; Barmina and Kopp 2007; Randsholt and Santamaria 2008), ventral abdominal bristles (Kopp et al. 2000), and the dorsal abdominal pigmentation pattern (Kopp et al. 2000; Williams et al. 2008), which suggests that sexual selection may have acted on the bab locus. Furthermore, it has been demonstrated that sex combs are important for male mating success (Ng and Kopp 2008), ovaries are critical for reproduction and fecundity, and abdominal pigmentation plays a role in thermoregulation and desiccation resistance (Gibert et al. 1996; Brisson et al. 2005), suggesting that the bab1 and bab2 genes may experience selection on a variety of functions.

The bab1 and bab2 genes have sequence conservation in two protein domains, BTB/POZ and BabCD (bric à brac conserved domain) (Couderc et al. 2002). The BTB (Broad, Tramtrac, Bab) domain is shared by a large number of developmentally regulated genes and is involved in protein–protein interactions (Zollman et al. 1994), including bab1 homodimerization in vitro (Chen et al. 1995). The BabCD is composed of a Psq and AT-hook domains that are both involved in DNA binding, suggesting that the bab genes may act as transcriptional regulators (Reeves and Nissen 1990; Lehmann et al. 1998; Couderc et al. 2002; Lours et al. 2003). Both bab genes contain a single large intron (20 and 50 kb, respectively) that is present in an evolutionarily conserved position (Couderc et al. 2002). In both genes, this intron separates 5′ exons, which contain the protein interaction domain (BTB) from 3′ exons that contain the DNA binding region (BabCD) (Fig. 1).

bab1 and bab2 have largely overlapping expression patterns, with bab1 present in a subset of bab2-expressing cells. In the ovary, bab1 is expressed exclusively in the terminal filaments, while bab2 is expressed strongly in the terminal filaments and more weakly in apical cells of the ovary (Couderc et al. 2002). Flies with bab mutations that affect both paralogs show defects in terminal filament formation, apical cells, and basal stalk primordium, resulting in sterile females and ovaries with only a few rudimentary ovarioles, while mutations that affect a single bab gene result in weaker phenotypes (Godt and Laski 1995; Couderc et al. 2002). Both duplicate genes also contribute to the patterning of distal antennae and legs during larval and pupal development (Godt et al. 1993; Chu et al. 2002; Couderc et al. 2002). Again, the strongest phenotypes result from bab mutations that affect both bab1 and bab2, causing a complete fusion of the second through fifth tarsal segments, while mutations that affect only one of the genes result in intermediate phenotypes.

In the abdomen, the bab genes play a central role is specifying sexually dimorphic pigmentation patterns (Kopp et al. 2000). bab mutations have a dominant effect resulting in wider pigmentation bands, with the strongest phenotype seen in the most posterior segments (Couderc et al. 2002). Moreover, genetic variation at the bab locus is associated with intraspecific variation in the pigmentation of posterior abdominal segments in D. melanogaster females (Kopp et al. 2003). bab1 and bab2 are expressed in similar spatial patterns in the developing abdominal epidermis (Kopp et al. 2000; Williams et al. 2008), and artificial over-expression experiments show that both genes are capable of partially rescuing the bab mutant phenotypes (Bardot et al. 2002). In all tissues, despite slight differences in bab expression, bab1 and bab2 mutations have very similar phenotypes.

Detailed functional analysis of the bab locus has revealed a number of distinct cis-regulatory elements (CREs) (Williams et al. 2008). Separate enhancers were identified for pupal abdominal epidermis (large intron of bab1), legs (intergenic region between bab1 and bab2), and oenocytes (large intron of bab2). Surprisingly, only a single regulatory element was identified for each tissue that expresses both bab1 and bab2, raising the possibility that both paralogs may be controlled by the same “core” CREs. This does not rule out the existence of other, paralog-specific regulatory elements that modulate the expression of each gene in a more subtle way. If such modifier elements exist, the expression of each paralog could evolve independently and be subject to different selective regimes.

In summary, the two bab genes have largely overlapping expression and developmental roles, yet they show evidence of distinct functional specificities. At the same time, their involvement in a variety of sex-specific processes suggests that these genes could experience many competing selective pressures. In principle, both paralogs could be dominated by similar selective pressures, reflecting their shared functions. Alternatively, bab1 and bab2 could show different patterns of selection, suggesting that unique functions of the paralogs are shaping sequence evolution in the region. To distinguish between these modes of evolution, we analyzed intraspecific variation throughout the bab genomic region.

Materials and Methods

We have resequenced the bab genomic region including the bab1 and bab2 genes and the flanking intergenic regions from 94 inbred strains extracted from a single natural population at the Wolfskill orchard in Winters, CA. The 35 Wolfskill-1 (W1), 56 Wolfskill-3 (W3), and 3 A1 lines were all collected from the same orchard but in separate years. Eighty-three of the Wolfskill lines were chosen at random, while the remaining lines were chosen for inclusion because of their light abdominal pigmentation pattern. The removal of these lines from the analysis did not significantly change the results. All lines from the Wolfskill collections were inbred by full-sib mating for a minimum of 20 generations, while the A1 lines were inbred for at least 10 generations by the same method.

Sanger based sequencing (ABI 3730xl) was performed at the Joint Genome Institute. Overlapping 1 kb amplicons were designed across the region; successful amplicons were sequenced from both strands. Base calls and polymorphisms were initially identified using Phred and PolyPhred 6.11 (Ewing and Green 1998; Ewing et al. 1998; Stephens et al. 2006). Using Consed, insertion/deletions (indels) were identified and polymorphisms were checked for accuracy (Gordon et al. 1998). Although effort was made to obtain complete coverage, we were unable to sequence any of the strains for two regions that together cover approximately 5 kb. These regions are identified as repetitive by RepeatMasker (Smit 1996–2004), and each region contains a transposable element in the D. melanogaster reference genome sequence (Adams et al. 2000). Since transposable elements present in the reference annotation are rarely found in other strains at appreciable frequencies (Petrov et al. in preparation), we did not attempt to verify their presence in our lines. On average, we have sequence information from 90% of the lines for any given polymorphism.

Sliding window analysis was used to calculate population-genetic test statistics in 10 kb windows that were moved by 2 kb steps across the length of the bab region. Theta values (π, θW, and θH), Tajima’s D, Fu and Li’s D and Fu’s F were calculated using the compute implementation of libsequence library (Thornton 2003) and custom scripts, using the D. simulans genome sequence as an outgroup when appropriate (Tajima 1989; Fu and Li 1993; Fay and Wu 2000; Thornton 2003; Zeng et al. 2006). Fst was calculated as described in Hudson et al. (1992). Polarized and unpolarized McDonald–Kreitman (MK) tests (McDonald and Kreitman 1991) were performed as described by Begun et al. (2007). All figures were produced using the R statistical package (


We sequenced the 148 kb bab region from 94 inbred strains of D. melanogaster collected from Winters, CA. This region includes bab1 and bab2 in their entirety as well as two additional open reading frames, CG9205 and CG32334, for which no information about expression or function is available (Fig. 1). In this region, we identified 5566 single nucleotide polymorphisms (SNPs), 5405 of which contained two alleles and 161 contained three alleles (Table 1). We also identified 1211 short insertion/deletion (indel) polymorphisms, ranging in size from 1 to 526 bp. This is likely to be an underestimate of the number of indels because we have no information from the repeat regions (Fig. 1) and longer repeat variants from other regions were likely to result in a failed sequencing reaction. The mean indel length was 9.37 bp, and the most common length 4 bp. Although indels are less frequent than SNPs, we find that indels tend to have a higher Tajima’s D statistic than SNPs, indicating that they are more likely to be present at intermediate frequencies (Table 1). This result is unlikely to be caused by sequencing errors, since the removal of singletons (SNPs present in a single line) results in the same pattern (data not shown).
Table 1

Summary statistics of sequence variation in the bab region







Tajima’s D

Entire region































































aNumber of base pairs represented in the sample

bNumber of polymorphisms identified

cThe number of polymorphisms that contain a single observation of the alternative allele

dWaterson’s Theta per 100 bp

eThe average pairwise diversity per 100 bp

Nucleotide diversity (π) and estimates of the population mutation rate (θW) were generally higher in non-coding than coding DNA, suggesting that non-coding sequences are under less functional constraint (Table 1). Intronic, intergenic, and UTR regions have similar values of Tajima’s D, which is consistent with genome-wide studies in D. melanogaster (Andolfatto 2005). The bab region shows little linkage disequilibrium (LD), with average correlation between polymorphisms (r2) dropping off rapidly within 300 bps (Fig. 2a). D′, a quantitative measure of LD normalized for allele frequency (Lewontin 1964), has a slower decline and is constant after 1 kb (Fig. 2b). The short range of LD suggests that different regions of the bab locus can, in principle, evolve independently of one another.

To investigate and compare the evolutionary forces acting on the bab paralogs, we used several tests to examine the allele frequency spectrum across the bab locus. Tajima’s D statistic compares two estimators of the population mutation parameter θ: π, a measure of average pairwise differences between sequences that is strongly influenced by common alleles, and θw, which weighs all polymorphisms equally and is thus more strongly influenced by rare alleles (Watterson 1975; Tajima 1989). Sliding window analysis shows variable values of Tajima’s D statistic across the bab locus. A region centered on the non-coding 3′ UTR of bab2 transcript (near the 110,000 bp mark) has negative D values (Fig. 3b), indicating an excess of low frequency alleles that may be due to recent selection. The remainder of the bab locus has Tajima’s D values near zero, indicating that this region is evolving neutrally.
Fig. 3

Sliding window analysis of sequence variation in the bab region. All analyses are in 10 kb windows offset by 2 kb. a Three estimates of θ including π (solid line), θW (dashed line), and θH (dotted line). b Tajima’s D. c Fay and Wu’s H statistic. d Fu and Li’s D (dashed line) and F (solid line) statistics

We also compared high-frequency derived and intermediate-frequency alleles using Fay and Wu’s H statistic (Fay and Wu 2000; Zeng et al. 2006). A low value of H indicates a higher than expected number of derived alleles, making it a powerful test for detecting positive selection and the initial stages of balancing selection (Zeng et al. 2006). We used D. simulans genome sequence as an outgroup to polarize SNP alleles in D. melanogaster. Similar to Tajima’s D, the strongest negative values of Fay and Wu’s H are found near the 3′ end of the bab2 transcript, with no comparable signature in the paralogous bab1 region (Fig. 3c). This pattern provides additional evidence for directional selection acting on the region near the 3′ end of bab2. In addition, the H statistic shows a region in the large intron of bab1 with strongly negative values, suggesting an additional region under selection, which was not detected with the D statistic.

Fu and Li’s D and Fu’s F statistics compare the frequencies of derived and ancestral alleles to detect deviations from the neutral expectation (Fu and Li 1993; Fu 1997). Negative values of D and F indicate an excess of derived mutations (an excess of external branches in the gene tree), while positive values show a deficiency of derived alleles (excess of internal branches). Fu and Li’s D is particularly sensitive to background selection—a reduction of diversity at a neutral locus due to selection against linked deleterious mutations (Charlesworth et al. 1993). We find negative values of D and F in the large introns of both bab1 and bab2, with peak values in the 10 kb windows centered near the 28,000 and 122,000 bp marks (Fig. 3d). These regions overlap with the locations of repetitive sequences and transposable element insertions in the reference genome sequence (Fig. 1). The same pattern remains if we repeat the analysis with these repetitive regions masked. Repetitive sequences are often a source of frequently occurring deleterious mutations, and the low values of D and F may arise when these mutations are removed by background selection.

Our sequencing sample is drawn primarily from two collections, Wolfskill 1 (W1) and Wolfskill 3 (W3), which were collected from the same location but in separate years. In general, sequence variation in the W1 and W3 samples does not differ significantly across the bab region (Table 2). However, the strong negative values of Tajima’s D near the 3′ end of bab2 are caused primarily by the W3 sample (Fig. 4a), while the W1 collection has D values closer to zero. Sliding window analysis of population differentiation (Fst) between W1 and W3 reveals elevated levels of differentiation in the same region (Fig. 4b). These differences suggest that selection acting on bab2 may fluctuate over time. Further collections would be necessary to understand if these differences are the result of seasonal or yearly differences in selection for the abiotic environment or can be explained by some other process.
Table 2

Summary statistics comparing the W1 and W3 sequence samples across the bab region







Tajima’s D















aNumber of base pairs represented in the sample

bNumber of polymorphisms identified

cThe number of polymorphisms that contain a single observation of the alternative allele

dWaterson’s Theta per 100 bp

eThe average pairwise diversity per 100 bp

Fig. 4

Comparison of the W1 and W3 collections. All analyses are in 10 kb windows offset by 2 kb. a Tajima’s D statistic showing pooled collections (solid line), W1 alone (dashed line) and W3 alone (dotted line). b Population differentiation (Fst) between the W1 and W3 samples

To investigate the role of selection in the evolution of bab1 and bab2 coding sequences, we used the McDonald–Kreitman (MK) test, which compares the ratio of synonymous (S) and non-synonymous (NS) nucleotide substitutions between and within species (McDonald and Kreitman 1991). To identify nucleotide substitutions that occurred specifically in the D. melanogaster lineage, we used the genome sequences of D. simulans and D. yakuba to polarize the direction of change. We then compared the fixed substitutions that occurred on the D. melanogaster evolutionary lineage to polymorphisms segregating within the D. melanogaster population (Table 3). We found a significant skew in bab1, such that it has a lack of fixed NS changes and/or an excess of polymorphic NS substitutions (two tailed Fisher’s exact test; P < 0.05). No such pattern is seen in the bab2 gene or in the other predicted genes in the bab region (Table 3). The NS changes in bab1 are distributed throughout the transcript, although none of these changes are found in the BTB (protein interaction) or BabCD (DNA binding) functional domains. This pattern could be due to functional constraint on the bab1 coding region or balancing selection maintaining multiple alleles of bab1. To differentiate between these possibilities, we looked at how many of the polymorphic sites were represented by a single individual (singletons), which are more likely to be deleterious variants (Table 3). A large number of the NS polymorphisms in bab1 are singletons (seven of 15) suggesting that bab1 polymorphisms are under strong purifying selection preventing their fixation.
Table 3

McDonald–Kreitman test for genes in the bab region



Replacement (NS)

Silent (S)















15 (7)


56 (3)












13 (4)


79 (9)



aP values are the results of a two-tailed Fisher’s exact test. Values below P = 0.05 are indicated

If the bab genes are functionally redundant, it is possible that deleterious alleles in one gene are compensated by a functional allele of the other gene. We tested for compensatory evolution between the bab1 and bab2 transcripts. We found no correlation between the number of low frequency (likely deleterious) alleles in the bab1 and bab2 coding regions (P > 0.05 for synonymous, non-synonymous, and total changes), nor do we find long-range LD between polymorphisms in the bab1 and bab2 transcripts. This suggests that there is not compensation been the bab1 and bab2 alleles.


Duplicate genes persist in the genome due to the acquisition of new functions or the subdivision of the ancestral role. Over time, paralogous proteins may acquire subtle functional changes or gain entirely different biological activities (Hirth et al. 2001; Zhang et al. 2004). Alternatively, the proteins may share similar specificity while gene expression patterns diverge due to cis-regulatory changes, leading to the acquisition of different functional roles (Greer et al. 2000). The two mechanisms are not mutually exclusive, and both can operate on the same pair of paralogs. At the bab locus, the two duplicated genes have similar but non-identical expression patterns (Couderc et al. 2002) despite sharing at least some CREs (Williams et al. 2008). This suggests that some functions of these paralogs may experience shared constraints, while others may evolve independently.

Numerous studies have shown that duplicated genes diverge rapidly in expression (Gu et al. 2002; Makova and Li 2003; Gu et al. 2005), and that the rate of expression divergence is highest immediately after gene duplication and slows down over time (Jordan et al. 2004; Gu et al. 2005). This pattern is consistent with either directional selection (neo-functionalization model) or the relaxation of purifying selection (sub-functionalization model) acting during the early stages of gene divergence, and the relative contributions of these forces continue to be debated (Yu et al. 2003; Castillo-Davis et al. 2004; Jordan et al. 2004; Kondrashov and Kondrashov 2006). Generally, paralogous genes are more likely to lose ancestral expression domains than to acquire new ones, indicating that sub-functionalization is probably more common than neo-functionalization (Oakley et al. 2006). Both models predict that, once duplicate genes acquire non-identical functions, they may come under different selective regimes.

In this study, we used a population genetic approach to assess the evolutionary forces acting on the bab paralogs. The patterns of sequence variation suggest that selective pressures vary across the bab locus. Two regions show indications of selection. First, a region near the 3′ end of bab2 (which includes bab2 3′ exons, introns, and intergenic region) appears to experience directional selection (Fig. 3b, c). Furthermore, selection in this region may vary over time, as indicated by the difference between population samples collected in different years. Surprisingly, no CREs have been found in this region (Williams et al. 2008), although it remains possible that it contains regulatory elements that modulate transcriptional activity but cannot function independently in transgenic assays. Future analysis is required to determine whether the coding or non-coding DNA is driving this signature of selection. The second region that appears to be under selection is located in the large intron of bab1 (Fig. 3c). This region contains the CRE that controls female specific expression of bab in the abdominal epidermis (Williams et al. 2008), suggesting that selection may be acting on the sexually dimorphic pigmentation of D. melanogaster. Furthermore, a recent study found that this same region was differentiated between northern and southern D. melanogaster populations in North America and Australia (Turner et al. 2008). In the coding regions, bab1 exhibits stronger selective constraint than bab2. One possible explanation is that the two proteins have somewhat different functional activities despite being expressed in largely overlapping patterns.

Given our data, it seems that the bab homolgs are most likely maintained due to sub-functionalization. Previous work on the bab locus has shown that both bab genes are expressed in the same tissues during development (Couderc et al. 2002). This suggests that both genes probably maintain similar functions as the ancestral bab gene. We have found that the coding and non-coding DNA show differences in sequence evolution. Thus, within the ancestral functions it is likely that the bab genes have divided their roles such that both are indispensable and thus maintained.

Several recent studies have used comparative genomic approaches to examine the role of selection in the evolution of duplicate genes. Such analyses are based on variation in the rate of expression divergence over time (Jordan et al. 2004; Gu et al. 2005), across phylogenetic lineages (Shiu et al. 2006), or on the correlation between the rate of expression and sequence divergence (Yu et al. 2003; Castillo-Davis et al. 2004). However, these long-term evolutionary patterns are consistent with either selective or neutral explanations (Castillo-Davis et al. 2004; Jordan et al. 2004; Kondrashov and Kondrashov 2006), and are best suited for detecting selection at the genome-wide level rather than individual loci. A population-genetic approach brings an alternative perspective to this question, since it is explicitly designed to test for selection acting on specific DNA sequences. As genome-wide analyses of intraspecific variation become possible (Begun et al. 2007), an integration of population-genetic and comparative-genomic approaches will shed new light on the relative importance of positive selection and neutral changes in the maintenance and evolution of paralogous genes.



We would like to thank Anna Ustaszewska and Danielle Tufts for technical help, and Tina Hu and Jennifer Brisson for comments on the manuscript. This work was supported by NSF grant DEB-0548991 to AK and SN.

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Copyright information

© The Author(s) 2009

Authors and Affiliations

  • Ryan D. Bickel
    • 1
  • Wendy S. Schackwitz
    • 3
  • Len A. Pennacchio
    • 3
  • Sergey V. Nuzhdin
    • 1
  • Artyom Kopp
    • 2
  1. 1.Section of Molecular and Computational Biology, Department of Biological SciencesUniversity of Southern CaliforniaLos AngelesUSA
  2. 2.Department of Evolution and EcologyUniversity of California—DavisDavisUSA
  3. 3.U.S. Department of Energy Joint Genome InstituteWalnut CreekUSA

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