Literature DB >> 26843931

Phylogenetic analysis suggests that sociality is associated with reduced effectiveness of selection.

Virginia Settepani1, Jesper Bechsgaard1, Trine Bilde1.   

Abstract

The evolution of sociality in spiders is associated with female bias, reproductive skew and an inbreeding mating system, factors that cause a reduction in effective population size and increase effects of genetic drift. These factors act to decrease the effectiveness of selection, thereby increasing the fixation probability of deleterious mutations. Comparative studies of closely related species with contrasting social traits and mating systems provide the opportunity to test consequences of low effective population size on the effectiveness of selection empirically. We used phylogenetic analyses of three inbred social spider species and seven outcrossing subsocial species of the genus Stegodyphus, and compared dN/dS ratios and codon usage bias between social Inbreeding and subsocial outcrossing mating systems to assess the effectiveness of selection. The overall results do not differ significantly between the social inbreeding and outcrossing species, but suggest a tendency for lower codon usage bias and higher dN/dS ratios in the social inbreeding species compared with their outcrossing congeners. The differences in dN/dS ratio and codon usage bias between social and subsocial species are modest but consistent with theoretical expectations of reduced effectiveness of selection in species with relatively low effective population size. The modest differences are consistent with relatively recent evolution of social mating systems. Additionally, the short terminal branches and lack of speciation of the social lineages, together with low genetic diversity lend support for the transient state of permanent sociality in spiders.

Entities:  

Keywords:  Effective population size; female biased sex‐ratio; inbreeding mating system; reproductive transition

Year:  2016        PMID: 26843931      PMCID: PMC4729245          DOI: 10.1002/ece3.1886

Source DB:  PubMed          Journal:  Ecol Evol        ISSN: 2045-7758            Impact factor:   2.912


Introduction

The effective population size (Ne) affects the balance between effectiveness of selection and genetic drift, factors that are important in shaping the population dynamics of genes, and thereby adaptation. A reduction in effective population size is associated with an increase in the strength of genetic drift and thus lower effectiveness of selection (Wright 1931). Factors reducing effective population sizes include reproductive skew, biased sex ratio, and inbreeding (Frankham 1996; Leffler et al. 2012). Inbreeding populations may further experience demographic processes that affects effective population size such as recurrent bottlenecks (Schoen and Brown 1991), frequent cycles of extinction‐recolonization events (Charlesworth and Wright 2001), and low effective rate of recombination (Gordo and Charlesworth 2001). These processes may lead to a higher fixation probability of weakly deleterious mutations and loss of weakly advantageous mutations due to the stronger effect of drift (Charlesworth and Charlesworth 1987; Charlesworth 2003; Glémin and Galtier 2012). The genetic consequences of low effective population size may affect the evolutionary potential of species at different time scales. On a shorter timescale, strong drift acts to deplete genetic variation thereby reducing the adaptive potential based on standing genetic variation (Barrett and Schluter 2008). On a longer timescale, strong drift leads to a higher fixation probability of deleterious mutations. This results in accumulation of deleterious substitutions (“drift load”) over evolutionary time (Charlesworth and Wright 2001), which ultimately increases probability of extinction (Lynch et al. 1995). Parameters frequently used to quantify the strength of drift and effectiveness selection are the ratio of non‐synonymous to synonymous substitutions (dN/dS ratio) and codon usage bias (CUB) (Cutter et al. 2008; Slotte et al. 2010; Qiu et al. 2011; Mattila et al. 2012). Reduced effectiveness of selection that result from low effective population size will cause a reduction in fixation probabilities of non‐synonymous adaptive mutations, and simultaneously in an increased probability of fixation of non‐synonymous deleterious mutations by drift. Because more deleterious than adaptive mutations are expected (Eyre‐Walker and Keightley 2007), the predicted net outcome is an increase in the rate of non‐synonymous substitutions leading to an increase in dN/dS ratio. Codon usage bias, i.e. the usage of synonymous codons that occur in different frequencies, is maintained by a balance between selection, mutation, and genetic drift. Selection acts on codon usage because certain codons are translated more accurately and/or efficiently than others (Hershberg and Petrov 2008). Codon preferences are determined by the mutational biases characteristic of each genome, however codon usage bias is expected to be stronger in highly expressed genes and in species characterized by a high effective population size. Reduced selection effectiveness is expected to result in the accumulation of less efficient codons and hence lower codon usage bias. One approach to test predictions of Ne on the strength of drift and selection effectiveness is comparative studies of closely related species with contrasting mating systems that are expected to differ in effective population size (Cutter et al. 2008; Qiu et al. 2011). In plants, comparison of outcrossing and selfing sister species suggest that the effectiveness of selection is reduced in selfing species based on the findings of stronger codon usage bias in the outcrossing species (Qiu et al. 2011), and increased dN/dS ratios in selfing species (Glemin and Muyle 2014). In the nematode genera Caenorhabditis it has been shown that codon usage bias was equally strong in four outbreeding and two selfing species, which was interpreted as a recent evolutionary transition to selfing (Cutter et al. 2008). Additionally, the outcrossing Caenorhabditis remanei has been found to exhibit a ~20 fold higher genetic diversity than the self‐fertilizing congeners C. elegans and C. briggsae in orthologous loci (Graustein et al. 2002; Jovelin et al. 2003). Here, we present a comparative study of the consequences of low Ne in a genus of sexually reproducing spiders that contains subsocial outcrossing and social inbreeding species. Evolution of sociality in spiders is associated with a number of characteristics, obligatory inbreeding through sib‐mating, highly female biased sex ratio (approximately 85% females) and reproductive skew (Lubin and Bilde 2007). These are all traits that act to reduce the effective population size, thereby increasing the effect of drift and decreasing the effectiveness of selection (Frankham 1996; Charlesworth and Wright 2001). Spider genera that contain multiple closely related species with contrasting life history and mating systems, outcrossing subsocial and permanently social species (Lubin and Bilde 2007), offer the opportunity to generate insights into the combined effects of reproductive skew, female bias and inbreeding mating systems that act to low effective populations size on the effectiveness of selection. The spider genus Stegodyphus consists of at least 20 species, and social inbreeding mating systems have originated three times independently (Kraus and Kraus 1988; Johannesen et al. 2007). A recent study suggests evidence for strong effects of drift on genetic diversity even at the species level in one of the social species S. sarasinorum (Settepani et al. 2014). Low genetic diversity and strong but shallow population differentiation in this social species indicates that high frequencies of population extinction and recolonization events result in homogenization of genetic diversity over the species' distribution range (Settepani et al. 2014), a dynamic process that decreases Ne. In contrast, subsocial congeners are characterized by equal sex ratio and premating dispersal which results in an outcrossing mating system (Bilde et al. 2005). Subsocial congeners are therefore expected to have a relatively higher effective population size which implies weaker effect of drift and stronger effectiveness of selection compared to their social sister species. Demographic modeling of RAD sequence data verifies these theoretical predictions, estimates of Ne demonstrates that three social Stegodyphus species have 10‐fold or lower effective population sizes compared to their subsocial sister‐species and 5–8 times lower estimates of genetic diversity. This is highly consistent over 3–5 populations per species, and therefore likely to result from their contrasting mating systems (Virginia Settepani et al. unpublished). Here, we present a partial molecular phylogeny of the Stegodyphus genus including the three social species and their three subsocial sister species, and an additional four subsocial species. We examined predictions of the effect of low effective population size by contrasting dN/dS ratios and codon usage bias of species with inbreeding and outcrossing mating systems respectively. We asked the following question: do social inbreeding species experience reduced selection effectiveness compared with outcrossing subsocial congeners? If this is the case, we predict the social species to show increased dN/dS ratios and less optimized codon usage.

Materials and Methods

Species

We included 10 species from the genus Stegodyphus (Eresidae): three social species S. sarasinorum, S. dumicola and S. mimosarum, and seven subsocial species S. lineatus, S. bicolor, S. dufuori, S. tibialis, S. mirandus, S. africanus and S. tentoriicola. As outgroups we used Eresus sandaliatus (Stegodyphus' sister genus) and Adonea fimbriata (outgroup genus, also from Eresidae). We repeated our analyses independently with the inclusion of an undescribed Stegodyphus species recently discovered (for a total of 11 species from the genus Stegodyphus). Males and females of this potentially new species were found in Israel living in solitary nests in their adult stage, therefore we assume that this species is subsocial rather than social. Due to lack of knowledge about the biology and ecology of this species, we performed our analyses twice, both with and without this species included. DNA was extracted from all samples using DNeasy Blood and Tissue Kit (Qiagen). In total, 13 randomly chosen nuclear loci were PCR amplified and sequenced from all samples by using primers custom designed from alignments of the social S. mimosarum and the subsocial S. lineatus and S. tentoriicola published in Mattila et al. (2012) (Table S1). The loci included 16 exons and 4 introns for a total of 5338 base pairs (of which 561 bp intronic).

Data analyses

All chromatograms were manually inspected and wrongly called bases were corrected using Bioedit 7.0.4.1 (Hall 1999). Sequences were aligned using the clustalw algorithm implemented in Bioedit, followed by manual adjustment. Separate alignments were made for each locus. The loci were concatenated to estimate best species tree (Tonini et al. 2015) and the best substitution model for each exon and intron sequence was estimated with PartitionFinder (Lanfear et al. 2012) (Table S2). The most likely tree topology was constructed using MrBayes 3.2 (Ronquist et al. 2012). MrBayes was run for 5 million generations, sampling frequency 500, burn‐in of 25% and two chains. In order to confirm that the topology obtained was a true phylogenetic signal and not an artifact due to concatenation, we obtained an independent phylogeny for each partition. The most likely tree topology for each partition was constructed using MrBayes 3.2 (Ronquist et al. 2012) run for 5 million generations, sampling frequency 1000, burn‐in of 25% and two chains. The tree topologies constructed for each partition were consistent with the topology constructed for the concatenated sequences, supporting the robustness of the analysis. We used DNAsp (Librado and Rozas 2009) to estimate the synonymous distance from present back to each node, and calculated the divergence time using the mutation rate of 8,4E‐08 estimated in Drosophila (Haag‐Liautard et al. 2007), under the assumption of a molecular clock. Synonymous distances to internal nodes were estimated by averaging over the estimates of all possible species pairs sharing the given nodes. Codon usage biases (CUB) were estimated as Effective Number of Codons (ENC) for each species separately using INCA 1.2 (Supek and Vlahovicek 2004) using the concatenated alignment of all coding positions, and averages were calculated for social and subsocial species separately. 1000 new alignments were generated by bootstrapping over columns of codons. For each of those alignments, average ENC was estimated for social and subsocial species separately, and these estimates were used to obtain 95% confidence intervals. To test if CUB differed among subsocial and social species, the ENC estimates of the ten species were randomly divided into two groups of three and seven (corresponding to the number of social and subsocial species) by permutation, and the average from the group of seven was subtracted from the average of the group of three. This was done 1000 times to obtain a null distribution. To obtain a P value, the estimated difference between the average ENC of social and subsocial species was compared to this distribution. Base compositions were estimated for all three codon positions in all species, and were found to be highly similar (Fig. S1). A maximum likelihood approach [PAML 4.6, (Yang 2007)] was used to estimate the rate of nonsynonymous (dN) to synonymous (dS) substitutions (dN/dS ratio). Before testing for the effect of mating system and life histories in social and subsocial species, we tested for the possible occurrence of sites under positive selection by using the “site models” implemented in PAML 4.6 (Yang 2007). We used a likelihood ratio test (LRT) with two degrees of freedom to compare model M7 (beta distribution of 0 ≤ x ≤ 1) and model M8 (beta distribution plus an extra class of sites with x > 1) (Glemin and Muyle 2014). These models were not significantly different from each other (χ 2 df = 2, P = 0.16) indicating the absence of sites under positive selection in the sequences, and therefore that the genes used mainly evolved under near‐neutrality. The same applies for the comparison of M7 and M8 for each partition separately. We then estimated dN/dS ratios under four different models: (A) “Single”: dN/dS ratios were constrained to be identical for all branches in the tree; (B) “Internal versus external”: dN/dS ratios were constrained to be identical for internal branches and identical for external branches; (C) “Internal versus external social versus external subsocial”: dN/dS ratios were constrained to be identical for internal branches, for external branches leading to social species, and for external branches leading to subsocial species. This model assumes similar effective population sizes and therefore similar selection pressures for all subsocial species and for all social species respectively. Unpublished diversity estimates are consistent with such a scenario currently (Virginia Settepani et al., unpublished). Finally (D) “Unconstrained”: dN/dS ratios were estimated with no constrains, giving separate estimates for each branch in the tree. These models are nested, and likelihood ratio tests were used to evaluate which model fit the data best. The tree topology estimated by Mr. Bayes was used in the PAML analyses. All data analyses were repeated with the inclusion of an undescribed Stegodyphus sp. which was assumed to be subsocial, based on the finding of it living in solitary nests in the field similarly to other subsocial Stegodyphus (Y. Lubin, personal communication).

Ethical note

The species used in this study are not subject to ethical laws in the country in which the sampling was performed.

Results

Sequences were obtained from all loci and all species except for one locus in each of the two outgroups (Table S1). We sequenced a total of 5338 bp of which 4749 bp coding and 589 bp non‐coding. All data were used to produce the phylogeny shown in Figure 1, but only coding data were used to estimate codon usage bias and dN/dS ratios. Posterior probabilities were 100 for all nodes providing the best possible support for the estimated topology (MrBayes convergence diagnostic: minimum ESS = 2901.8; mean ESS = 3028.2; average PSRF = 1).
Figure 1

Bayesian phylogeny of the Stegodyphus genus. Posterior probabilities and divergence time estimates (in Million Years) are shown for each node. Red branched lead to social species which are underlined.

Bayesian phylogeny of the Stegodyphus genus. Posterior probabilities and divergence time estimates (in Million Years) are shown for each node. Red branched lead to social species which are underlined. Based on the mutation rate of 8,4E‐08 we estimated the Stegodyphus genus to be approximately 13 million years old. This is in accordance with the estimate in Mattila et al. (2012) assuming the same mutation rate. The estimated dates of all nine nodes can be seen in Figure 1. We note that the mutation rate used here may not reflect the actual mutation rates, and that a strict molecular clock model may be too simplistic, therefore, the time estimates should be taken with caution. We estimated all social lineages to be relatively young, 0.8, 1.1, and 3.2 million years old for S. dumicola, S. sarasinorum, and S. mimosarum respectively. Codon usage biases were estimated for each species as Effective Number of Codons (ENC). ENC values vary from 20 to 61: ENC = 20 represents extreme codon bias (only one codon is used for each amino acid) bias and ENC = 61 represents absence of codon usage bias (all codons are equally likely to code the amino acids). ENC values were slightly higher for the social (average ENCsoc = 50.13, lower and upper bound 49.20–50.99) compared to the subsocial species (average ENCsub = 49.51, lower and upper bound 48.89–50.07), but this difference was not statistically significant (P = 0.09) (Fig. 2).
Figure 2

Codon usage biases estimates for subsocial and social species. ENC is the estimate of the effective number of codons.

Codon usage biases estimates for subsocial and social species. ENC is the estimate of the effective number of codons. The results of the PAML analyses are summarized in Table 1. It is clear that adding free parameters (dN/dS) gives better fit to the data as the models “Unconstrained”, “Internal versus external” and “Internal versus external social versus external subsocial” all fit the data significantly better than the model “Single” (i.e. single dN/dS ratio for all species).
Table 1

Results of estimations rate of nonsynonymous (dN) to synonymous (dS) substitutions from four models: (A) Single: dN/dS ratios were constrained to be identical for all branches in the tree, (B) Internal versus external branches: dN/dS ratios were constrained to be identical for internal branches and identical for external branches, (C) Internal versus external social versus external subsocial: dN/dS ratios were constrained to be identical for internal branches, and separate estimates for external social branches and external subsocial branches, and (D) Unconstrained external branches: dN/dS ratios were estimated to be identical for internal branches and separate for all external branches

Model−ln (likelihood)dN/dS ratio−2ΔlnL
A: Single−9730.6776160.1487
B: Internal branches vs. external branches−9728.514515 0.1675 (internal) 0.1214 (external) A vs. B: 4.33 P < 0.05
C: Internal branches vs. external social branches vs. external subsocial branches−9724.435196 0.1674 (internal) 0.2534 (external social) 0.1018 (external subsocial) A vs. C: 12.48 P < 0.01 B vs. C: 8.16 P < 0.01
D: Unconstrained external branches−9716.983258 0.0930 (S. lineatus) 0.0709 (S. tibialis) 0.1986 (S. mimosarum a) 0.1677 (S. africanus) 1.2489 (S. dumicola a) 0.2046 (S. tentoriicola) 0.0949 (S. sarasinorum a) 0.0958 (S. pacificus) 0.0359 (S. bicolor) 0.1445 (S. dufuori) A vs. D: 27.39 P < 0.01 B vs. D: 23.06 P < 0.05 C vs. D: 14.90 NS

Results of Likelihood Ratio tests of nested models are shown in the last column.

Social species.

Results of estimations rate of nonsynonymous (dN) to synonymous (dS) substitutions from four models: (A) Single: dN/dS ratios were constrained to be identical for all branches in the tree, (B) Internal versus external branches: dN/dS ratios were constrained to be identical for internal branches and identical for external branches, (C) Internal versus external social versus external subsocial: dN/dS ratios were constrained to be identical for internal branches, and separate estimates for external social branches and external subsocial branches, and (D) Unconstrained external branches: dN/dS ratios were estimated to be identical for internal branches and separate for all external branches Results of Likelihood Ratio tests of nested models are shown in the last column. Social species. Due to relative short external branches and the possibility of segregating polymorphisms inflating the dN/dS estimates (Paland and Lynch 2006; Mugal et al. 2014), we ran a model which separates estimates of dN/dS for internal and external branches. This model has a significantly better fit (P < 0.05) compared to the “Single” dN/dS model, with a lower external dN/dS ratio than internal dN/dS ratio (0.1214 vs. 0.1675). A third model with dN/dS ratio estimated separately for internal, external social, and external subsocial branches was used to test for the effect of social mating system. This model significantly improved the fit, and estimates a higher dN/dS ratio in the social branches compared to subsocial branches (0.2534 vs. 0.1018). The dN/dS estimate of the internal branches stayed unchanged. Finally, the “Unconstrained” model, where dN/dS ratios were estimated with no constrains, revealed that dN/dS ratio estimates vary among social and subsocial species, therefore the assumption of similar dN/dS ratios for social and for subsocial species is not met. The social S. dumicola has a higher dN/dS ratio compared to other social species (1.2489 vs. 0. 0949 in S. sarasinorum and 0.1986 in S. mimosarum). To ensure that the results were not determined by the high dN/dS ratio of S. dumicola, we repeated the analysis grouping S. dumicola with all pairs of subsocial external branches separately instead of the three social species. This resulted in significantly elevated dN/dS ratio when S. dumicola was grouped with either S. tentoriicola, S. africanus or both. Finally, according to this last model, the subsocial S. africanus and S. tentoriicola, both sister species of a social species, have a higher dN/dS ratio (0.1677 and 0.2046, respectively) compared to other subsocial species in the genus (Table S3). The inclusion of the undescribed Stegodyphus sp. did not change our results qualitatively for any parameter (Fig. S2).

Discussion

Due to contrasting life history traits and demographic processes, we expect social species to have a lower effective population size compared to the effective population size of subsocial species, which should result in lower effectiveness of selection in social species. We used a phylogenetic approach to investigate whether dN/dS ratios and codon usage bias were different in social versus subsocial species. Our phylogenetic analysis of the Stegodyphus genus confirmed that the three social species evolved independently (Kraus and Kraus 1988; Johannesen et al. 2007). While previous studies were controversial regarding the monophyly or paraphyly of the Stegodyphus group (Johannesen et al. 2007; Miller et al. 2012), we show that Stegodyphus is a monophyletic group. Given the higher number of loci and the wider span of sequences applied here, we believe this is a reliable result. In the inbred social species the dN/dS ratio was higher than the dN/dS ratio of outcrossed subsocial species. This finding corroborates our expectations of stronger drift and reduced effectiveness of selection on nonsynonymous mutations in the social species that are likely to experience relatively low Ne as a result of reproductive skew, strong female biased gender ratio, high nest‐ and population turnover dynamics and inbreeding mating system. It cannot be ruled out that evolution of sociality and regular inbreeding is associated with adaptive gene evolution, thereby increasing the dN/dS ratio in social species. However, adaptive mutations are extremely rare and an excess of deleterious mutations are expected (Eyre‐Walker and Keightley 2007), therefore this observed pattern is unlikely to be a result of positive selection. In addition, we find no sign of selection in the studied loci. It is possible that segregating polymorphisms could inflate the dN/dS ratio in terminal branches (Paland and Lynch 2006; Glemin and Muyle 2014; Mugal et al. 2014). By running a model comparing the dN/dS ratio of internal and extrenal branches our results show that this was not the case in Stegodyphus, as the external dN/dS ratio were lower than internal branches. Very low levels of polymorphisms are segregating in the social species (Settepani et al. 2014). Estimates from RAD sequencing data suggest that social species are characterized by very low genetic diversity and 5–8 fold than that of subsocial species (Virginia Settepani et al., unpublished), suggesting that polymorphisms are not likely to strongly impact the dN/dS ratio estimates of the social species. Another potential reason for this result could be that S. dumicola alone drives this difference, since its estimated dN/dS ratio is very high. Grouping S. dumicola with all pairs of subsocial external branches separately instead of the three social species resulted in significantly elevated dN/dS ratio when S. dumicola was grouped with either S. tentoriicola, S. africanus or both. This suggests that the subsocial S. tentoriicola and S. africanus, also show sign of relaxed selection. Also, the different dN/dS ratios in social species suggest that the population dynamics characteristic in social species might have different intensities in the different species, alternatively that the times since the evolution of social mating systems differ. Overall, the elevated dN/dS ratio of social species provides indication of reduced effectiveness of selection in the genome of social spider species. However, according to the results of the “Unconstrained” model, it is evident that the assumption of similar dN/dS ratios for social and for subsocial species is not met. The dN/dS ratio estimates for the subsocial S. tentoriicola and S. africanus branches were relatively high compared to the other subsocial species in the genus (0.20 and 0.17 respectively). Stegodyphus tentoriicola and S. africanus are sister species of the social S. dumicola and S. mimosarum, leaving the possibility that an elevated dN/dS ratio is specific to certain clades rather than a result of a social life style. However, another interesting possibility is that the genus Stegodyphus contains species with different degree of social complexity: the sister species of social species might be characterized by life history traits and population dynamics which are closer to the ones experienced by social species rather than by the other subsocial species in the genus. An interesting study by Romiguier et al. (2014) demonstrated that dN/dS ratio in social insects (which also have a relatively low effective population sizes) is correlated with degree of social complexity: ant species with stronger worker‐queen dimorphism are characterized by higher dN/dS ratio. Our results show a comparable pattern: permanently social spider species appear to have the highest dN/dS ratio, followed by their subsocial sister species, followed by the other subsocial species in the genus. In agreement with this, the subsocial S. tentoriicola has occasionally been observed in the wild forming multifemale colonies (Y. Lubin and T. Bilde, personal communication). Additionally, extensive analyses of genomic diversity in social and subsocial species in this genus suggest the same pattern: social species have the lowest genetic diversity in the genus, followed by their sister species, followed by other subsocial species in the genus (Virginia Settepani et al., unpublished). Our results suggest that, similarly to what has been found in social insects (Romiguier et al. 2014), the degree of social complexity might be correlated with dN/dS ratio in genera containing social spider species. These results suggest that evolution of sociality that is associated with traits that reduce Ne is prone to suffer from relaxed effectiveness of selection and a build‐up of the genomic load. Codon usage bias for each species, estimated as the effective number of codons (ENC), revealed higher average ENC, therefore lower codon usage bias, in the social inbred species compared with their subsocial outcrossed congeners, although the effect was not strong it indicates that selection on synonymous codons has been reduced in the social inbred species. Codon usage bias is a result of the combination of selection intensity and time, our result may therefore suggests that time since the transition to sociality was not sufficiently long for codon usage bias to build up. Theory predicts that species with low effective population size may be subject to a build‐up of the genetic load and increased risk of extinction (Lynch et al. 1995), therefore selfing and inbreeding mating systems may be “evolutionary dead‐ends” (Stebbins 1957). Empirical tests of the genetic effects of low Ne comes mainly from comparative studies of selfing plants and outcrossing plants (Igic et al. 2008; Glemin and Muyle 2014) and show contrasting results. A study of 19 selfing and outcrossed species of grasses from the family Triticeae (Escobar et al. 2010), in Arabidopsis (Wright et al. 2002) and in six species of the nematode genus Caenorhabditis (Cutter et al. 2008) did not find evidence for reduced effectiveness of selection in codon usage bias and/or differences in rates of substitutions. On the other hand, a study by Slotte et al. (2010) showed differences in the effectiveness of selection between the outcrossing Capsella grandiflora and the selfing Arabidopsis thaliana that correlated well with their different life history traits and effective population sizes. Permanently social inbreeding spiders may similarly be evolutionary dead‐ends (Agnarsson et al. 2006; Johannesen et al. 2007). Our results suggest a buildup of genetic load in the social Stegodyphus, which may be linked with the level of social complexity of species, and which might result in lower adaptive potential, indicating that social spider species might represent an “evolutionary dead‐end” (Agnarsson et al. 2006). Phylogenetic analyses show that the social lineages of Stegodyphus and Anelosimus (a genus from the family Theridiidae that includes several independently evolved social species) form relatively short terminal and separate branches (Agnarsson et al. 2006; Johannesen et al. 2007). Phylogenetic analyses of plants show a pattern similar to that of social spiders, with selfing species mostly forming short terminal branches (Takebayashi and Morrell 2001). The combination of multiple independent origins of inbreeding sociality, low genetic diversity (Lubin and Bilde 2007; Settepani et al. 2014), short terminal branches, and no speciation of the social lineages lend support for the transient state of permanent sociality in spiders.

Conclusions

We find that the genus Stegodyphus form a monophyletic group. Additionally, we detected a tendency toward difference in dN/dS ratio and codon usage bias between social and subsocial species which is modest but consistent with theoretical expectations of reduced effectiveness of selection in species with relatively low effective population size. Additionally the short terminal branches and lack of speciation of the social lineages, together with low genetic diversity lend support for the transient state of permanent sociality in spiders.

Data Archiving

Sequence datasets supporting the results of this article will be available in the GenBank repository: accession numbers KU232626 ‐ KU232637, KU232638 ‐ KU232648, KU232649 ‐ KU232660, KU232661 ‐ KU232672, KU232673 ‐ KU232684, KU232685 ‐ KU232696, KU232697 ‐ KU232708, KU232709 ‐ KU232719, KU232720 ‐ KU232731, KU232732 ‐ KU232743, KU232744 ‐ KU232755, KU232756 ‐ KU232767, KU232768 ‐ KU232779.

Conflict of Interest

The authors declare that they have no competing interests. Table S1. Primers designed for the phylogeny construction. Table S2. Substitution models estimated in Partition Finder (Lanfear et al. 2012) for each locus. Table S3. Inferred number of synonymous and non‐synonymous substitutions across each external branch. Figure S1. Base composition estimates in social and subsocial species of the genus Stegodyphus. Figure S2. Phylogeny including undescribed species Stegodyphus sp. Click here for additional data file.
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Journal:  J Evol Biol       Date:  2014-10-28       Impact factor: 2.411

8.  Molecular evolution and quantitative variation for chemosensory behaviour in the nematode genus Caenorhabditis.

Authors:  R Jovelin; B C Ajie; P C Phillips
Journal:  Mol Ecol       Date:  2003-05       Impact factor: 6.185

9.  MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space.

Authors:  Fredrik Ronquist; Maxim Teslenko; Paul van der Mark; Daniel L Ayres; Aaron Darling; Sebastian Höhna; Bret Larget; Liang Liu; Marc A Suchard; John P Huelsenbeck
Journal:  Syst Biol       Date:  2012-02-22       Impact factor: 15.683

10.  Revisiting an old riddle: what determines genetic diversity levels within species?

Authors:  Ellen M Leffler; Kevin Bullaughey; Daniel R Matute; Wynn K Meyer; Laure Ségurel; Aarti Venkat; Peter Andolfatto; Molly Przeworski
Journal:  PLoS Biol       Date:  2012-09-11       Impact factor: 8.029

View more
  9 in total

1.  Prey to predator body size ratio in the evolution of cooperative hunting-a social spider test case.

Authors:  Lena Grinsted; Mads F Schou; Virginia Settepani; Christina Holm; Tharina L Bird; Trine Bilde
Journal:  Dev Genes Evol       Date:  2019-11-25       Impact factor: 0.900

2.  Effects of social organization and elevation on spatial genetic structure in a montane ant.

Authors:  Amaranta Fontcuberta; Martin Kapun; Patrick Tran Van; Jessica Purcell; Michel Chapuisat
Journal:  Ecol Evol       Date:  2022-05-15       Impact factor: 3.167

3.  Male spiders control offspring sex ratio through greater production of female-determining sperm.

Authors:  Bram Vanthournout; Mette Marie Busck; Jesper Bechsgaard; Frederik Hendrickx; Andreas Schramm; Trine Bilde
Journal:  Proc Biol Sci       Date:  2018-03-28       Impact factor: 5.349

4.  Comparative transcriptomics highlights convergent evolution of energy metabolic pathways in group-living spiders.

Authors:  Han Yang; Bin Lyu; Hai-Qiang Yin; Shu-Qiang Li
Journal:  Zool Res       Date:  2021-03-18

5.  DNA Methylation Patterns in the Social Spider, Stegodyphus dumicola.

Authors:  Shenglin Liu; Anne Aageaard; Jesper Bechsgaard; Trine Bilde
Journal:  Genes (Basel)       Date:  2019-02-12       Impact factor: 4.096

6.  Comparative Genomics Identifies Putative Signatures of Sociality in Spiders.

Authors:  Chao Tong; Gabriella M Najm; Noa Pinter-Wollman; Jonathan N Pruitt; Timothy A Linksvayer
Journal:  Genome Biol Evol       Date:  2020-03-01       Impact factor: 3.416

7.  Predicted networks of protein-protein interactions in Stegodyphus mimosarum by cross-species comparisons.

Authors:  Xiu Wang; Yongfeng Jin
Journal:  BMC Genomics       Date:  2017-09-11       Impact factor: 3.969

8.  Cooperative foraging expands dietary niche but does not offset intra-group competition for resources in social spiders.

Authors:  Marija Majer; Christina Holm; Yael Lubin; Trine Bilde
Journal:  Sci Rep       Date:  2018-08-07       Impact factor: 4.379

9.  Polymorphism Data Assist Estimation of the Nonsynonymous over Synonymous Fixation Rate Ratio ω for Closely Related Species.

Authors:  Carina F Mugal; Verena E Kutschera; Fidel Botero-Castro; Jochen B W Wolf; Ingemar Kaj
Journal:  Mol Biol Evol       Date:  2020-01-01       Impact factor: 16.240

  9 in total

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