1 Supplementary materials and methods 2 Character and taxon sampling 3 Initial taxon sampling aimed to maximize representation of orbicularian families at the generic 4 level. Outgroups were added trying to maximise representation of families of non orbicularian 5 entelegyne lineages, particularly the RTA clade and Eresoidea. Sequences downloaded from 6 GenBank were assembled in matrices together with newly generated data with the help of BioEdit 7 v 7.0.5.3 and Mesquite v 2.74 [1] programs. Taxa that were represented in GenBank only with 8 sequences from fast evolving genes (16S rRNA, cytochrome c oxidase subunit I) or just a single 9 gene overlapping with our gene sample were not considered. Information about taxa included in 10 the analysis and GenBank accession numbers is given in Table S1. Several additional sequences 11 became available after our analyses were at an advanced stage [e.g., 2] and these data were 12 therefore not included. 13 All sequences were submitted to BLAST (http://blast.ncbi.nlm.nih.gov/) against the GenBank nr 14 database and examined for potential problems such as contamination. Several problems were 15 encountered and the corresponding sequences were excluded from further analysis. Sequences of 16 the 28S rRNA of Nephila clavipes B (FJ525379), Pimoa sp. (FJ607545) and SYMP_03_MAD 17 (GU456867) resulted in BLAST hits that were inconsistent with respect to other spiders’ 28S rRNA 18 sequences. These three sequences were also extremely difficult to align and when submitted to 19 direct optimization analysis most of their length was not recognised as homologous to the 20 sequences of the other taxa in our matrix. We could not re-sample these specimens to sort out the 21 problem and their 28S rRNA data were not included in any of the analyses. The 18S rRNA 22 sequence of the linyphiid Pityohyphantes costatus (AY078675) was found to be a contamination 23 from a theridiid and was also excluded from the analysis. Holarchaeidae and Pararchaeidae 24 sequences [3] were included only in preliminary rounds of ML analyses to corroborate their 25 placement within araneoids. In addition, protein-coding sequences were translated to amino acids 26 and examined for unexpected stop codons. 27 Data matrices 28 All data were combined in a single data matrix that included a total of 291 taxa (‘Full_data_pre’). 29 This matrix was first analysed under ML criterion in order to test the araneoid placement of the 30 families Holarchaeidae and Pararchaeidae [3; 4]. These two families were then excluded from 31 subsequent analyses because they were represented by just a single species each and had a very 32 small data overlap with most of the taxa in the dataset. The resulting matrix (‘Full_data’) was used 33 as a reference for any further data manipulation: calculation of missing data, fragment overlap, 34 and leaf stability indices. The ‘Full_data’ matrix was evaluated under two different criteria and as a 35 result two sets of matrices were produced (Table S2). One was aimed to optimize fragment 36 overlap and minimize missing data, and the other was based on the leaf stability index. Data 37 fragments were defined for each gene based on the amplicons used to obtain its sequence. In the 38 case of wingless and histone 3 there is only one amplicon. When in all taxa several contiguous 39 amplicons were consistently present these ware treated as a single fragment. A graphical 40 representation of the genes and the corresponding fragments is given in Figure S1. Amplicon 41 fragments were used to access data overlap and completeness and do not necessarily coincide 42 with the partitioning of the data for the maximum likelihood analyses. Data partition schemes 43 used in the maximum likelihood analyses are defined in the corresponding sections below. 44 When using the two different criteria for matrix optimization described here, different taxa were 45 selected for exclusion (see Table S1). As a consequence, resulting matrices did not have the same 46 number of terminals and taxa composition. Direct comparison among trees resulting from these 47 matrices using topological indices is problematic. To compare results and quantify changes in 48 resolution we have used the ability of each data matrix to recover major orbicularian lineages and 49 the support values associated to them (Table S4). 50 51 Alignments 52 Multiple sequence alignments were carried out using the online implementation of MAFFT v. 6 [5] 53 available at http://align.bmr.kyushu-u.ac.jp/mafft/online/server/ (note that at the time of writing 54 the present manuscript the MAFFT server has moved to a new address 55 (http://mafft.cbrc.jp/alignment/server/). Both L-INS-i and E-INS-i strategies were used. E-INS-i 56 option was used for ribosomal genes where several conservative regions (stems) spaced by 57 variable regions (loops) are expected to occur. Fewer amplicons in some of the 28S rRNA 58 sequences resulted in alignment artefacts due to the very high variability in some regions of this 59 gene. To overcome this problem, 28S rRNA sequences were split into two separate matrices in 60 accordance to the primers used to generate them. Each matrix was independently submitted to 61 MAFFT. In addition, because the two 28S rRNA fragments showed distinct variability they were 62 kept as separate partitions. After alignment, protein-coding genes were translated to amino acids 63 and checked for unexpected stop codons. 64 Maximum Likelihood analyses 65 Maximum likelihood analyses were carried out in RaxML-HPC v 7.2.7 [6] at the CIPRES portal 66 (http://www.phylo.org/sub_sections/portal/) [7]. Data were partitioned by gene with two 67 partitions for the 28S rRNA. In addition, protein-coding genes were partitioned by codon position 68 with the first two positions into the same partition. To optimize computational efficiency we have 69 used GTRCAT for the bootstrapping phase and GTRGAMMA for the final evaluation of the 70 likelihood. Model parameters were optimised independently for each partition. To estimate group 71 support 1000 bootstrap replicates were evaluated. 72 Parsimony analysis of the statically aligned data 73 TNT analyses were carried out in the computer program TNT v 1.1 [8]. A driven search combining 74 new technology algorithms using equal weights (i.e., tree drifting, mixed sectorial searches, and 75 tree fusing) was performed (50 initial addition sequences, initial level: 10, cycles of drifting: 10), 76 and stabilizing strict consensus five times (with default factor of 75). This is one of the most 77 efficient search strategies when dealing with large and more difficult datasets [9]. Most other 78 search settings were left as default values. Commands used were included in, and run from, a 79 script file, which was generated by modifying an automatically generated TNT batch file. The script 80 file contained the following commands (a basic explanation of sets of commands are provided, for 81 a detailed explanation of each setting, please refer to the program’s help): 82 Basic commands: 83 hold 80000; piwe-; const-; rseed1; 84 Search commands (ratchet not active, default commands are automatically created by default in 85 the TNT batch file, and were left here for the sake of reproducibility): 86 xm: noverb nokeep; rat : it 0 up 4 down 4 au 0 num 36 give 99 equa ; 87 88 89 90 Tree drifting settings: dri: it 10 fit 1.00 rfi 0.20 aut 0 num 36 give 99 xfa 3.00 equa; Mixed sectorial search settings: sec: mins 45 maxs 45 self 43 incr 75 minf 10 god 75 drift 6 glob 5 dglob 10 rou 3 xss 10- 91 14+2 noxev noeq; 92 Tree fusing settings: 93 94 95 96 97 tf: rou 5 minf 3 best ke nochoo swap; General search settings: xm : level 10 nochk rep 50 fuse 3 dri 10 rss css noxss mult nodump conse 5 conf 75 nogive notarg upda autoc 3 xmix; xm ; xmult:; 98 Jackknife frequencies were calculated in TNT under equal weights by computing 4000 99 pseudoreplicates performing heuristic searches consisting of 10 random addition sequences, 100 followed by 10 iterations of TBR (tree bisection and reconnection), holding one tree (commands: 101 hold 80000; piwe-; const-; rseed1; mult: noratchet repl 10 tbr hold 1 ; resample jak repl 4000 freq 102 from 0 [mult];). Due to the large size of the data matrix and in order to speed up the analysis of the 103 jackknife calculations, we used a traditional search strategy in the re-sampling. Gaps were treated 104 conservatively as missing data. 105 Direct optimization 106 Dynamic optimization analyses were carried out in POY v 4.1.2.1 [10] on the computer clusters at 107 the University of Copenhagen and the PYRAMID cluster at The George Washington University’s 108 High Performance Computing Laboratory. All protein-coding genes were treated as prealigned and 109 alignments from MAFFT were used. We have used the combination of the following commands to 110 perform the tree searches: 111 set(exhaustive_do) 112 report (data, cross_references) 113 transform(tcm:(1, 1)) 114 build(250) 115 swap(threshold:5.0) 116 select() 117 perturb(transform(static_approx),iterations:15,ratchet:(0.2,3)) 118 select() 119 fuse(iterations:200,swap()) 120 121 Use of other than equal costs for gaps (gap opening and gap extension) and substitutions resulted 122 in memory errors in both clusters to which we had access. Only when equal costs were used the 123 analysis did finish successfully. Both computing infrastructures differ significantly in hardware and 124 software setups, therefore the only possible reason for these receptive failures may be related to 125 the program (POY) and/or to the size of the dataset being analysed. 126 To estimate Jackknife supports under direct optimization we read the data files and the 127 corresponding most parsimonious trees in POY. Supports were calculated using the following 128 commands: 129 transform(static_approx) 130 calculate_support (jackknife:(remove:50, resample:1000)) 131 report (supports:jackknife) 132 133 Molecular dating 134 The hypothesis of homogeneous rates of evolution among lineages was rejected by the likelihood- 135 ratio test [11]. Therefore for this dataset the use of a strict molecular clock is not appropriate and 136 we have used instead a relaxed uncorrelated lognormal clock model as implemented in the 137 program BEAST [12]. We used fossil species to calibrate the relaxed clock and to estimate 138 divergence times. All fossils used as constraints were selected in such a manner that they are well 139 spread throughout the phylogeny. Only the oldest fossils that can be assigned to monophyletic 140 groups with high support in our results were used. As a result some known fossils that belong to 141 lineages represented by a single taxon or fall within unstable clades with low support were not 142 included. We have chosen this very conservative approach to avoid introducing potential 143 additional errors in our analysis. Certain fossils that met most of the former requirements were 144 intentionally not used as calibration points but as an independent test of the dating results. These 145 were Oecobius (described from New Jersey amber [13]), Agelenidae (described form Baltic amber 146 [e.g., 14; 15]) and Hersiliidae (described from Myanmar amber [16]). The following fossils were 147 used to calibrate the clock: Oecobiidae (min age 135 Ma) based on the Lower Cretaceous spider 148 Lebanoecobius schleei [17]; Araneidae (min age 115-121 Ma) based on the species Mesozygiella 149 dunlopi described from Lover Cretaceous amber from Spain [18]; Tetragnathidae (min age 125-135 150 Ma) based on the fossils Macryphantes cowdeni [19] and Huegina diazromerali [20] both from the 151 Lower Cretaceous deposits in Spain; Linyphiidae not including Stemonyphantes (min age 125-135 152 Ma) based on a linyphiine species described form Lebanese amber [21]; Pimoa (min age 35-40 Ma) 153 based on several fossil species described from Baltic amber [17; 22]; Nephila (min age 165 Ma) 154 based on the recently described Nephila jurassica [23]. Macryphantes cowdeni is described from 155 somewhat older deposits than H. diazromerali and the assignment of both species to 156 Tetragnathidae remains problematic. The preservation of both specimens is poor and there are 157 just a few characters that have been used to argue for a tetragnathid placement. In that case we 158 have used the interval between the youngest possible ages of these taxa to define a more 159 conservative minimum age constraint. The oldest linyphiid fossil shares some synapomorphies 160 with the linyphiine species but not with Stemonyphantes; the latter has been hypothesized as the 161 sister lineage of the remaining taxa in the family Linyphiidae (note that in our results we failed to 162 recover this relationship; see also discussion below). Therefore we have used the age of this 163 linyphiid fossil as a minimum age constraint for the well-supported clade containing all linyphiids 164 except Stemonyphantes. In the case of Oecobiidae we used the upper bound of the fossil dating as 165 a minimum age constraint instead of the lower bound because this resulted in a more congruent 166 estimate for the minimum age of the crown Oecobius species, as suggested by the fossil record. 167 None of the constraints has been implemented as a point calibration and possible errors were 168 accounted for in all cases, hence fossil cross-validation is not strictly necessary. Nonetheless, we 169 run two additional analyses removing one calibration point at a time. We run analyses without 170 Nephila and without the Tetragnathidae species constraints, respectively. Estimated divergence 171 times of these lineages were then checked for congruence with their fossil record. 172 All fossils were treated as stem lineages with respect to the crown groups with which they share 173 putative synapomorphies. The fossil age was then used to set a minimum age constraint for the 174 split between the fossil and the rest of the taxa in the crown group [24; 25]. Since the exact 175 placement of the fossil over the stem is uncertain, hence the exact age of divergence with the 176 crown group, we have used probability distribution functions (either exponential or logarithmic) 177 that allow older divergence ages in order to account for that uncertainty. This approach also takes 178 into account the possibility that the oldest known fossil is most likely not the mrca of its lineage. 179 For the BEAST analysis, the best ML tree from the RaxML analysis of the ‘datasetv1_1’ dataset (see 180 Table S2) was used as a starting tree. The dataset was partitioned by genes reflecting the partition 181 scheme used in the ML analysis and a GTR + G model (the same as in the ML analyses) was used 182 for each partition. A birth-death speciation model was assumed for the tree prior. Two analyses of 183 BEAST were run, one with exponential distribution for the probability density of the tmrca prior 184 and one using a lognormal distribution with the calibration points as given in Table S3. Parameters 185 were chosen in such a way that 95% of the prior distribution lies between the minimum (the offset) 186 and the maximum values of the corresponding fossil dating. 187 Web characters and character optimization 188 Web architecture was scored following the coding of BEA. The only difference is the replacement 189 of the state ‘webless’ with the state ‘no foraging web.’ This state refers to the cases where webs 190 are absent or they are not used for prey capture but serve other functions (e.g., the nursery webs 191 of some pisaurids). It is important to stress that neither the ‘webless’ nor the ‘no foraging web’ 192 states represent necessarily homologous conditions in all species to which this scoring is applied, 193 as absence of a feature does not necessarily imply homology. In fact, the same state (absence of a 194 web for prey capture) may be the result of very different and independent processes and may 195 therefore violate the homology requisites. On the other hand, it is also clear that such an absence 196 could be potentially synapomorphic. For example, it seems logical to hypothesize that the absence 197 of webs in pirate spiders (Mimetidae) is a putative synapomorphy of this family (or synapomorphic 198 for Mimetidae plus Malkaridae). Our goal is to map variation in web architecture on the optimal 199 phylogenetic trees to gain insights on the evolution of these traits. 200 201 Supplementary results and discussion 202 All best trees from all analyses are available in the Best_trees.nex file in Mesquite format. This file 203 also contains the web character dataset used in our analyses. In addition, majority rule trees from 204 bootstrap and jackknife calculations under the different analytical criteria are also available as a 205 pdf file Supports.pdf. 206 207 Discussion 208 Divergence time estimates 209 Analyses in BEAST under both exponential and lognormal error distribution for the tmrca prior 210 gave very similar results with overlapping confidence intervals. We have used the results from the 211 analyses with exponential priors (Fig. 2) to guide the discussion. The estimated divergence times of 212 the three lineages available as independent contrast of the results (Oecobius, Agelenidae and 213 Hersiliidae) were highly congruent with their ages suggested by the fossil record. Furthermore, the 214 two cross-calibration runs resulted in overlapping age estimates for the nodes involved. There is 215 only one case of major discordance between the fossil record and our dating results - the araneoid 216 family Theridiidae. Although no theridiid fossils are known from the Mesozoic, our results suggest 217 a Jurassic origin for this lineage. There are numerous theridiid fossils described from Baltic and 218 Dominican ambers where they are one of the dominating spider groups, but no theridiids have 219 ever been found as Cretaceous amber inclusions. Because there is a high diversity of theridiid 220 genera in Baltic amber and because the family also occurs in the slightly older Lowermost Eocene 221 amber from Paris (specimens not described, see [26]), it seems logical to infer that the family first 222 appeared before this time, despite their intriguing absence from Cretaceous ambers. The spider 223 fossil record is rather fragmentary, particularly for non-amber deposits. Small-sized species, like 224 many theridiids, preserved in sedimentary deposits with the level of morphological detail needed 225 for identification are uncommon. Furthermore, most amber deposits are found in the northern 226 hemisphere, and Cretaceous amber deposits had been found primarily in Eurasia and North 227 America (more recently 93 to 95 million-year-old amber deposits have been discovered in Ethiopia, 228 the first major discovery of its kind from the African continent; [27]). The paucity of Cretaceous 229 amber deposits from areas that formed part of Gondwana may help explain the perplexing 230 absence of Mesozoic theridiid fossils and the discrepancy between our dating results and the 231 known fossil record. 232 233 Taxonomic Discussion 234 In this section we expand the discussion of the taxonomic and systematic implications for 235 Orbiculariae resulting from the phylogenetic analyses presented in the main body of the 236 manuscript. Unless otherwise stated, membership and composition of higher level groups are 237 discussed for extant taxa only [see 28for reviews of fossil spiders; 29]. We have chosen the results 238 of the ML analyses of an almost complete data matrix (dataset1_v1 with 272 taxa) to guide this 239 discussion (Fig. 1). 240 Family composition of Orbiculariae 241 Orbicularians are composed by the superfamilies Deinopoidea (Deinopidae and Uloboridae) and 242 Araneoidea (19 families) and the family Nicodamidae. Araneoidea includes the following families: 243 Anapidae, Araneidae, Cyatholipidae, Holarchaeidae, Linyphiidae, Malkaridae, Mimetidae, 244 Mysmenidae, Nephilidae, Nesticidae, Nicodamidae, Pararchaeidae, Pimoidae, Symphytognathidae, 245 Synaphridae, Synotaxidae, Tetragnathidae, Theridiidae, and Theridiosomatidae. 246 Orbicularian monophyly and composition has been debated extensively in recent years [e.g., 3; 30; 247 31-33]. Rix et al. [3] found in their sequence data strong support for the monophyly of Araneoidea 248 (including representatives of Malkaridae, Mimetidae, Holarchaeidae and Pararchaeidae) but the 249 interrelationships of the araneoid families were largely unresolved in his analyses. They sequenced 250 fragments of the 18S and 28S ribosomal RNA genes for 48 species in 14 spider families (including 251 representatives of 10 araneoid families), but the main goal of their study was to infer the limits 252 and phylogeny of the anapid subfamily Micropholcommatinae (and consequently about half of 253 their species were anapids). Our analyses include representative species of 21 orbicularian families 254 and of 49 araneomorph families. Our data provide the first empirical support for the monophyly of 255 Orbiculariae based exclusively on nucleotide sequence data for a broad higher-level taxon sample. 256 The results of our analyses refute the placement of the RTA clade within orbicularians, as 257 proposed by the recent molecular analysis of BEA. 258 Deinopoidea 259 The representatives of both Uloboridae and Deinopidae each form a monophyletic group. 260 Although Deinopoidea is monophyletic in the full dataset the support is low. Variations of the full 261 dataset do not recover the monophyly of Deinopoidea: in the preferred topology (Fig. 1) 262 Uloboridae is sister to Araneoidea plus Nicodamidae, rendering Deinopoidea paraphyletic. 263 Nicodamidae 264 The family Nicodamidae is peculiar in that it contains both cribellate and ecribellate species [34]. 265 Although nicodamid monophyly has never been robustly established with morphological data, 266 their phylogenetic placement has been considered critical to understand the evolution of orb 267 weavers [30; 31]. BEA total evidence dataset suggested that nicodamids are monophyletic and 268 sister to Araneoidea, although their molecular partition alone did not support the monophyly of 269 nicodamids because their cribellate representative (Megadictyna) was placed as sister to 270 Theridiidae. Ecribellate and cribellate nicodamids form a clade in 13 of the 24 analytical variations 271 that we explored. Our full dataset supports nicodamid monophyly under ML and parsimony except 272 under DO. Under ML and DO analyses of dataset_v1 (see Table S4) nicodamids are monophyletic 273 and the sister group of Araneoidea (trees included in the supplementary nexus file). In none of our 274 analyses Megadictyna (or any other nicodamid) clusters with Theridiidae [33; 35]. Although the 275 preponderance of molecular analyses support nicodamid monophyly and its placement as the 276 sister lineage of Araneoidea this issue has not been robustly resolved yet. 277 Araneoidea 278 The monophyly of araneoids is supported by all variations of the data matrix with support values 279 ranging from moderate (69) to high (98). In addition to the traditional families [see 30], 280 Araneoidea also includes the families Malkaridae, Mimetidae, Holarchaeidae and Pararchaeidae. 281 While the monophyly of some of the araneoid families is supported by resampling techniques (see 282 comments below), none of the deeper nodes within Araneoidea receive support, leaving most 283 interfamilial relationships poorly resolved. Collapsing all interfamilial nodes within Araneoidea 284 with values below the rather modest bootstrap of 75% would leave a completely unresolved 285 hypothesis of interfamilial relationships (with the exception of the clade Mimetidae plus 286 Tetragnathidae). 287 Araneidae and Nephilidae 288 Araneidae monophyly (including the oarcines and excluding Arkys) is very well supported by all 289 analytical treatments. Araneids are sister to the lineage of Nephila and its relatives, as suggested 290 by recent cladistic analyses [e.g., 36; 37]. Oarcines, traditionally considered members of 291 Mimetidae (e.g., Platnick & Shadab 1993), are monophyletic and are always placed within 292 Araneidae, never close to Mimetidae (Oarcinae, NEW FAMILY PLACEMENT). Oarcinae includes 293 two genera from Chile and Argentina, both represented in our analyses, which “have long been 294 controversial and difficult to place” [38]. These results suggest that the distinctive leg spination 295 pattern and cheliceral peg teeth of mimetids and oarcines has evolved independently. Arkys, our 296 sole representative of a lineage of webless, sit and wait predators, the Arkyinae (currently placed 297 in Araneidae), is the sister group of Tetragnathidae (see comments under ‘Tetragnathidae’). None 298 of our analyses supports an araneid placement for Arkys. The placement of the clade composed by 299 Nephila and its close relatives (Nephilidae or Nephilinae) as tetragnathids [30; 39-41], a hypothesis 300 that had been proposed on the basis of morphological and behavioural data, is not supported by 301 our molecular analyses or by recent combined molecular and morphological analyses [e.g., 37]. 302 For most of the twentieth century “Nephilinae was considered a subfamily of Araneidae” [42]. 303 Recently, Nephilinae was raised to family rank (“Nephilidae”) by Kuntner [43]. This change in rank 304 in the Linnaean hierarchy was justified on the finding that Nephilinae “does not group with 305 Tetragnathidae and thus cannot continue to be catalogued there” [43: 24]. Recent analyses [33; 36; 306 37; 44] suggest that nephilines are closely related to araneids (regardless of what Linnaean rank 307 they are assigned). The inclusion of Nephilinae within Araneidae is by no means a new idea, as it 308 has been proposed on the basis of morphological features [e.g., 45; 46-48], behavioural data [e.g., 309 49], nucleotide sequences [e.g., 50] and combined morphological and molecular analyses [e.g., 36; 310 37]. The results of our analyses would support returning the nephilines to its original subfamily 311 rank within Araneidae to better represent its phylogenetic position. Under such a revised 312 circumscription, the family Araneidae (including Nephilinae) could be diagnosed by the following 313 combination of characters: PMS with an aciniform brush; female chelicerae with denticles; female 314 chilum; hirsute female carapace; labium of pentagonal shape; sustentaculum; and vertical orb 315 webs. These characters and their taxonomic distribution, including exceptions and instances of 316 homoplasy, are described elsewhere [e.g., 30; 36; 37; 42; 51; 52]. Nomenclatural issues aside, 317 revealing the sister group of Nephila is important for studies of comparative biology because of 318 the status of several species of this genus as model organisms in arachnology. Our results also 319 corroborate prior morphological [41] and combined morphological and molecular data analyses 320 [36; 41; 53] in suggesting that the clade composed by Herennia plus Nephilengys is the sister group 321 of Nephila, and not Nephilengys [e.g., 54]. 322 Malkaridae 323 Malkarids are very poorly known and include eleven described species distributed in Chile and 324 Australia [55] and New Zealand, although the bulk of the diversity of the family remains 325 undescribed. Malkaridae has been suggested as the sister group of Mimetidae [47] based on the 326 leg spination pattern and on the absence of web-building. However, as Platnick and Forster [56] 327 have stated, “much descriptive and revisionary work on both groups is needed before the 328 monophyly of the Mimetidae can be regarded as clearly established; the possibility remains that 329 the Malkaridae may represent only a highly autapomorphic subgroup of mimetids.” Several 330 morphological synapomorphies support the monophyly of Malkaridae, including a conductor 331 flange in the male palp, deep alveolations on the carapace and the presence of a small 332 unsclerotised area behind the epigastric furrow [56; 57]. Our analyses recover a Perissopmeros 333 plus Carathea malkarid clade [as in 3] with high support, but this lineage is never sister to Malkara. 334 None of our analyses support a sister group relationship between malkarids and mimetids. 335 Mimetidae 336 Our analyses included seven mimetid species. As discussed above, the four oarcine 337 representatives form a clade nested within Araneidae and thus are not closely related to the other 338 two mimetids in our sample. The “true” mimetids (two species) form a clade sister to 339 Tetragnathidae plus Arkys (as in BEA’s analysis). The results also suggest that mimetids and 340 malkarids have abandoned web-based foraging strategies independently. 341 Tetragnathidae 342 Tetragnathid monophyly is robustly supported and the internal relationships are congruent with 343 those proposed by recent analyses of combined morphological and molecular data [36; 37]. The 344 sister group of Tetragnathidae is Arkys (currently in Araneidae), a hypothesis also suggested by the 345 analysis of BEA. The composition and systematic placement of Arkynae has a long a controversial 346 history [reviewed in 51; 58]. For example Arkys has been placed in Thomisidae [59], Araneidae [60; 347 61], Mimetidae [62] and Tetragnathidae [45], having undergone many familial transfers numerous 348 times. The cladistic analyses of Scharff and Coddington [51] and Framenau et al. [58](the latter 349 being a revised version of the former) place the Arkynae within Araneidae. The morphological data 350 of BEA also placed Arkys as araneid but given the high degree of incompleteness of that matrix 351 (54% of all the cells and 84% of the cells of Arkys are ‘missing entries’) such hypothesis is very 352 poorly supported. The morphological, molecular and combined analyses of Dimitrov and Hormiga 353 [37] also refuted an araneid placement for Arkys, which their data placed as either sister to 354 Tetragnathidae or to Mimetidae. 355 356 Symphytognathoids 357 The informal label ‘symphytognathoids’ was proposed by Griswold et al. [30] for a clade that 358 included the families Theridiosomatidae, Mysmenidae, Anapidae and Symphytognathidae. The 359 monophyly of symphytognathoids (represented by a total of 37 species in four families) is never 360 recovered in our analyses. Lopardo et al.’s [63] analysis, with a much denser symphytognathoid 361 taxon sampling, also failed to recover this clade when only DNA characters were analysed. 362 Although they found symphytognathoids monophyletic under four parameter sets (and to include 363 the family Synaphridae as well), its monophyly was not obtained in any molecular partition 364 analysed as non-symphytognathoid species were consistently placed within this group in no 365 consistent pattern and with variable support values. Our analyses, using a much denser outgroup 366 sampling, suggest that Lopardo et al.’s [63] results might not be an artefact of their outgroup 367 sampling. The puzzling placement of Gertschanapis within the Araneidae clade in BEA’s analysis, 368 their only symphytognathoid representative, is not supported by our data (or any other analyses) 369 and it seems that this grouping may be a taxon-sampling artefact. 370 Symphytognathidae, represented by four species, is monophyletic in our analyses, but none of the 371 other symphytognathoid families are recovered as clades. Although Mysmenidae, represented by 372 15 species, is not monophyletic, this is due to a single species (Trogloneta sp.) jumping out of an 373 otherwise relatively well supported lineage with all other mysmenids. Theridiosomatidae and 374 Anapidae are polyphyletic, although the support values of most of the nodes involved in their 375 polyphyly are very low. 376 Holarchaeidae and Pararchaeidae 377 Holarchaeidae and Pararchaeidae had been placed in Forster and Platnick’s [64] Palpimanoidea. 378 Our results corroborate the araneoid placement of Holarchaeidae and Pararchaeidae [3; 4]. None 379 of the analytical treatments that we explored found a close relationship between these two 380 families suggesting that its members may have abandoned web-based foraging strategies 381 independently. In our analysis Holarchaea is sister to a clade composed by two Australian anapids, 382 and this lineage receives high bootstrap support (90). This analysis was not designed to thoroughly 383 test the composition of Palpimanoidea sensu Forster and Platnick [64]. We included only one 384 Palpimanidae representative (Ikuma sp.) and no arachaeids, mecysmaucheniids, stenochilids or 385 huttoniids, but this question stands inextricably linked to the limits of Araneoidea. Despite these 386 limitations, the molecular data provide evidence that Pararchaeidae (represented by 387 Westrarchaea spinosa) and Holarchaeidae (represented by Holarchaea sp.) are nested within 388 Araneoidea although does not resolve their exact placement within the superfamily. Rix and 389 Harvey [65] pointed out that if pararchaeids were araneoids, they would be the only known 390 lineage that possessed two ALS major ampullate silk gland spigots (either by plesiomorphic 391 retention or by secondary reversal). They also point out that the absence of a deep furrow on the 392 ALS of pararchaeids, between the ampullate and piriform spinning fields is “extremely unusual for 393 the Araneoidea, although Lopardo et al. (2007) noted a similar morphology in Synaphridae.” 394 Unfortunately no sequences of synaphrids exist to test the propinquity of this family to 395 pararchaeids. We fully agree with Rix and Harvey’s [65] conclusion that additional research is 396 needed to satisfactorily explain character conflict and the cladistic position of these two unusual 397 and enigmatic families. 398 399 Nesticidae 400 Nesticid monophyly is very well supported, with a high bootstrap value (100). In our analyses the 401 family was represented by Nesticus cellulanus and two Eidmannella species. The specimen labelled 402 ‘Nesticus sp.’ is clearly not a nesticid, but has been included in the analyses because its sequence 403 data have been used in other published analyses. Although the sister group relationship between 404 Nesticidae and Theridiidae is well supported on morphological and behavioural grounds [e.g., 30; 405 35; 66; 67] such clade in not recovered by any of our analyses. BEA did not include any nesticid 406 representatives in their analyses. 407 408 Theridiidae 409 The results of our analysis largely mirror those of Arnedo et al. [68]. Much of the theridiid 410 sequence data that we analysed have been taken from their work. The monophyly of Theridiidae 411 receives a modest resampling support value (71) but many of the internal nodes are weakly 412 supported. Latrodectines are monophyletic and sister to a clade with all the remaining theridiid 413 representatives. The Lost Colular Setae clade is sister to an Anelosimus clade. Hadrotarsines are 414 monophyletic, nested deep inside Theridiidae, and sister to the Spintharinae clade. The four 415 Argyrodinae representatives are also monophyletic but the sistergroup relationship of this 416 subfamily to Phoroncidia is only weakly supported and unstable. Phoroncidia has a fairly long 417 branch, both for the nucleotide data analysed here and for morphological characters [35]. The 418 monophyly of Pholcommatinae sensu Agnarsson [35] (represented here by five species plus 419 Styposis) is not supported by our analyses [or those of 68] but this is not surprising as this was the 420 clade in Agnarsson’s analyses that was most sensitive to data perturbations. 421 422 Synotaxidae 423 Our analyses only included sequences of a single synotaxid representative (Synotaxus waiwai) and 424 thus testing the monophyly of the family was not possible. The monophyly of this small araneoid 425 family [14 genera and 76 species described; 55] is supported by morphological features of the 426 male genitalia [30; 67; 69]. The exact placement of synotaxids among araneoids is far from clear, 427 as different analyses and datasets have provided different answers [e.g., 30; 35; 68-70]. Although 428 Synotaxus has been included in some molecular analyses [68; 70], no representatives of the other 429 two synotaxid subfamilies [namely, Physogleninae and Pahorinae; see 67] have ever been included 430 in a molecular study. The ML tree of the complete data placed Synotaxus in a clade that included 431 the nesticid lineage and two species of anapids, but with very low support values. In the results of 432 the analysis chosen to guide the systematics discussion (dataset1_v1) Synotaxus jumps to an 433 unsupported clade that includes micropholcommatines, malkarids and Epeirotypus. Testing the 434 morphological hypotheses proposed for both the monophyly and the placement of this family will 435 have to wait for a much more thorough taxon sampling as well as additional genetic data. 436 437 Cyatholipidae 438 Cyatholipidae are another enigmatic group whose monophyly is well corroborated on 439 morphological grounds [e.g., 71] but whose exact placement among araneoids remains a mystery. 440 As in the case of Synotaxidae, different analyses and datasets have provided different solutions to 441 this problem (see refs. for Synotaxidae). Our two cyatholipid representatives form a clade with 442 high support value nested within a large lineage that includes all the Linyphiidae and Pimoidae 443 species, with Cyatholipidae being the sister group of a clade with all linyphiids except 444 Stemonyphantes. All the basal internal nodes involved in this hypothesis have low support values. 445 Like linyphiids and pimoids (and some synotaxids), cyatholipids build foraging sheet webs. 446 447 Linyphiidae and Pimoidae 448 Our results are consistent with the recent work of Arnedo et al. [70], the source of most of the 449 data. As discussed in the previous section, the placement of Stemonyphantes and of the 450 Cyatholipidae clade are in conflict with hypotheses based on morphological data [reviewed in 70], 451 but none of the involved nodes have high support. The molecular data corroborate the placement 452 of the enigmatic North American species Nanoa enana as the sister group of the Holarctic genus 453 Pimoa, as proposed by Hormiga et al. [72] based on morphological evidence. 454 455 Supplementary Figures legends 456 Figure 1S. Graphical representation of gene fragments overlap. Green rectangle – sequence 457 available; Gray rectangle – no data. 458 Supplementary tables legends 459 All tables are included the file Tables_S1_S4.xlsx 460 Table S1. Species, family and GenBank accession numbers for the sequences used in the present 461 analyses. Accession numbers: NA = no sequence available (missing); * = new sequences from this 462 study. The last eight columns represent taxa that were excluded in each data perturbation. When 463 data overlap and completeness was used as a criterion an X denominates excluded taxa. When 464 leaf stability was used as criterion the leaf stability of the excluded taxa multiplied by 100 is given. 465 Table S2. Different matrices used in the analyses and criteria for taxa exclusion. 466 Table S3. Implementation of the fossil constrains for the molecular clock analyses. 467 Table S4. Support for the monophyly of the major clades in the different analytical treatments and 468 taxon sets. Orbiculariae includes Nicodamidae; Araneidae includes Oarcinae; Tetragnathidae 469 contains Arkys. * - some taxa were placed within the orb weavers. Numbers indicate bootstrap 470 support for the clades. For Orbiculariae bootstraps are shown even if they are less than 50. 471 Other supplementary files 472 Best_trees.nex – contains all optimal trees form all analytical variations. The file also includes the 473 web character scores used in ancestral state reconstructions. 474 Supports.pdf – Contains the following bookmarks: ML_bootsraps – includes the ML trees from 475 RaxML for all data matrices with all bootstrap > 50 shown; DO_jackknife – includes the MP 476 consensus trees from jackknife analyses under DO with all values > 0.50 (50) shown; MP_jackknife 477 – includes the results from the jackknife resampling in TNT under MP. 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