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20 July 2010 DNA barcode data confirm new species and reveal cryptic diversity in Chilean Smicridea (Smicridea) (Trichoptera:Hydropsychidae)
Steffen U. Pauls, Roger J. Blahnik, Xin Zhou, C. Taylor Wardwell, Ralph W. Holzenthal
Author Affiliations +
Abstract

Mitochondrial deoxyribonucleic acid (mtDNA) sequence data have been both heralded and scrutinized for their ability or lack thereof to discriminate among species for identification (DNA barcoding) or description (DNA taxonomy). Few studies have systematically examined the ability of mtDNA from the DNA barcode region (658 base pair fragment of the 5′ terminus of the mitochondrial cytochrome c oxidase I gene) to distinguish species based on range-wide sampling of specimens from closely related species. Here we examined the utility of DNA barcode data for delimiting species, associating life stages, and as a potential genetic marker for phylogeographic studies by analyzing a range-wide sample of closely related Chilean representatives of the caddisfly genus Smicridea subgenus Smicridea. Our data revealed the existence of 7 deeply diverged, previously unrecognized lineages and confirmed the existence of 2 new species: Smicridea (S.) patinae, new species and Smicridea (S.) lourditae, new species. Based on our current taxonomic evaluation, we considered the other 5 lineages to be cryptic species. The DNA barcode data proved useful in delimiting species within Chilean Smicridea (Smicridea) and were suitable for life-stage associations. The data also contained sufficient intraspecific variation to make the DNA barcode a candidate locus for widespread application in phylogeographic studies.

South America has high levels of biological diversity and associated high levels of endemism (Malcolm et al. 2006). The continent boasts several hyperdiverse regions (biodiversity hotspots) that contain >1500 endemic species of vascular plants and have lost at least 70% of their primary vegetation (Myers et al. 2000). The central Chilean Winter Rainfall-Valdivian Forests is one of these hotspots (Myers et al. 2000). The high levels of biodiversity and endemism in these forests are a result of their location at a crossroads between the Neotropical and ancient Gondwanan floristic and faunistic regions (Conservation International 2007). In addition, the central Chilean region (from latitude ∼32–48°S) is surrounded by the Pacific Ocean to the west, desert to the north, and very cold and arid regions of Patagonia to the south and east (Cabrera and Willink 1980). Thus, the temperate terrestrial and, particularly, the freshwater faunas of this area have been very isolated since the southern South American landmass began splitting from Australia in the Eocene, between 52 to 35 million years ago (Sanmartín and Ronquist 2004). The high levels of endemism in the aquatic fauna in this region could be the result of persistence of temperate Gondwanan relicts (de Moor and Ivanov 2008) and sustained isolation of this temperate region since the late Eocene.

In the Neotropics, Chile has one of the best known Trichoptera faunas (e.g., Schmid 1964, Flint 1967, 1969, 1974a, 1989, 2002, Holzenthal 2004), which has a high degree of endemism (Flint 1974a, Rojas 2006). At the species level, the Chilean caddisfly fauna is almost 100% endemic (Holzenthal 2004). Our current knowledge of Neotropical Trichoptera clearly indicates that central Chile is a center of diversification for caddisflies. High levels of diversity and endemism in central Chile also are known for other freshwater organisms, including freshwater crabs (Perez-Losada et al. 2009) and fishes (Dyer 2000, Unmack et al. 2009). One reason for the high level of endemism in Chilean caddisflies is that the biogeographic affinity of the Chilean caddisfly fauna lies primarily with Australia, New Zealand, and other biogeographically related regions (e.g., New Caledonia), and not the rest of South America (de Moor and Ivanov 2008). However, this pattern is somewhat different for the Chilean representatives of the genus Smicridea McLachlan 1871. The subgenus Smicridea (Smicridea) currently consists of 113 known species, all occurring in the New World, and most endemic to the Neotropics (Morse 2006). Its closest allies in the family Hydropsychidae are the Neotropical subgenus Smicridea (Rhyacophylax) Müller 1879 and the Australian genera Asmicridea Mosely 1953 (in Mosely and Kimmins 1953) and Smicrophylax Neboiss 1977.

In his pioneering work, Flint (1989) revised Smicridea from the Chilean subregion of South America. He described 11 new species at the time and increased the number of known species in the region from 3 to 14. Holzenthal (2004) described an additional species and brought the total to 15 (7.0% of the Chilean caddisfly fauna). This total makes Smicridea the 3rd most species-rich genus of caddisflies in Chile, following Sortosa Navás 1918a with 20 and Verger Navás 1918b with 19 species (Rojas 2006).

Molecular tools have been used widely for species separation and identification for several decades, and recent technological advances have led to a steep rise in the number of studies (Vogler and Monaghan 2006). The goal of deoxyribonucleic acid (DNA) taxonomy, sensu Vogler and Monaghan (2006), is to use ≥1 genes to “…identify groups that correspond to entities of reproductively coherent individuals (the species), i.e., to determine a hierarchical level roughly equivalent to the binomials of the traditional system.” Recent advances in DNA taxonomy include coalescent-based recognition of species (Monaghan et al. 2009). In contrast, DNA barcoding (Hebert et al. 2003) was proposed as a means for identifying unknown specimens by collecting sequence data from a specific gene region and comparing these data to an established reference database. For animal taxa, a 658 base pair (bp) fragment at the 5′ terminus of the mitochondrial cytochrome c oxidase I (COI) gene region has become the standard DNA barcode region.

Intra- and interspecific variation of mitochondrial DNA (mtDNA) sequences from the DNA barcode region can be discriminated in some taxa (e.g., Ball et al. 2005), but not others (e.g., Alexander et al. 2009). Only a few studies have used DNA sequence data to address issues in caddisfly taxonomy. These studies were focused on associating adult and immature life stages for larval descriptions (e.g., Shan et al. 2004, Graf et al. 2005, Waringer et al. 2007, 2008, Zhou et al. 2007, Zhou 2009) or species delimitation (Bálint et al. 2009, Zhou et al. 2009, 2010). In caddisflies, most studies to date show that intraspecific variation is less than, and generally clearly distinguishable from, interspecific variation (e.g., Graf et al. 2005, Waringer et al. 2008). However, in some taxa, levels of intraspecific and interspecific variation are the same because of incomplete lineage sorting or introgression (Waringer et al. 2007, Pauls et al. 2009). To our knowledge, no study has examined how well DNA sequence data from the DNA barcode region can distinguish species based on a range-wide sampling of closely related species.

We used a range-wide, population-level sample of several Smicridea (Smicridea) species to test the ability of the DNA barcode to: 1) delimit closely related species, 2) associate juvenile and adult life stages, and 3) examine the utility of DNA barcodes for discerning genetic population structure. We further describe previously unrecognized diversity within Chilean Smicridea (Smicridea) that was recognized morphologically and supported by our analysis of DNA barcode data or that was recognized initially through the DNA barcode data and subsequently re-examined for diagnostic morphological characters. Thus, our study presents the first use of DNA barcode data as a guide to help confirm and describe new species of caddisflies.

Materials and Methods

Sampling and data collection

We collected ∼5000 Smicridea specimens from central Chile during January and February 2000, 2005, and 2008. Specimens were attracted to AA battery-powered closet lights (General Electric Co., Fairfield, Connecticut) outfitted with 8-W fluorescent ultraviolet (UV) lights placed across a shallow white plastic pan (∼24 × 34 × 4.5 cm) filled with 96% ethanol. Additional specimens were attracted to a 15-W fluorescent UV light powered by a 12-V car battery and placed in front of a 200 × 140-cm white bed sheet suspended between 2 trees. Specimens attracted to the light were captured and killed in cyanide (KCN) killing jars and pinned or placed in 96% ethanol the following morning. Outgroup taxa included several species of Smicridea (Smicridea) from other regions in South America, several species of Smicridea (Rhyacophylax) from Chile and other regions of South America, and representatives of the only other genera within the subfamily Smicrideinae, Asmicridea and Smicrophylax, from Australia.

We prepared male and female genitalia for observation using lactic acid as outlined by Blahnik et al. (2007), and identified species using the work of Flint (1989). For each species or putative new species of Smicridea (Smicridea) in our collections, we selected up to 15 specimens from all sampling sites where the species was collected for final sampling (final sampling scheme is described in Table 1 and Appendix 1; available online from:  http://dx.doi.org/10.1899_09-108.s1 (10.1899_09-108.s1.pdf).

Table 1

Summary of sampling of Chilean Smicridea (S.) specimens showing the number of sites (N [sites]) and individuals (N [ind]) sampled for each species from each region. Detailed information on sites and individuals is given in Appendix 1.

i0887-3593-29-3-1058-t01.tif

We extracted whole genomic DNA from individual legs of identified specimens following the procedures of Ivanova et al. (2006) or from unprepared abdomens as follows. We removed abdomens and placed them in tissue lysis buffer (ATL) and Proteinase K for 12 to 24 h (DNeasy extraction protocol; Qiagen, Hilden, Germany). We extracted DNA with DNeasy Tissue Kits or QIAamp Micro Kit (Qiagen) following the manufacturer's protocol. We assigned prepared abdomens and the remaining specimens unique 9-digit accession numbers beginning with the prefix UMSP and entered taxonomic, collection, and locality data in the University of Minnesota Biota (Colwell 2003) database ( http://www.entomology.umn.edu/museum/databases/BIOTAdatabase.html) and the Barcode of Life Data System (BOLD;  http://www.boldsystems.org/). We followed methods described by Hebert et al. (2003) for polymerase chain reaction (PCR) amplification and sequencing protocols. We amplified full-length COI DNA barcodes (658 bp) with 2 primer sets: LepF1/LepR1 (Hebert et al. 2004) and LCO1490/HCO2198 (Folmer et al. 1994). Sequences of the COI barcode region (Hebert et al. 2003) were generated at the Canadian Centre for DNA Barcoding (CCDB), University of Guelph, the University of Minnesota Biomedical and Genomics Center (BMGC), or Functional Bioscience (Madison, Wisconsin). Sequences were edited and aligned in Sequencher 4.9 (Gene Codes, Ann Arbor, Michigan).

Data analysis

We included only sequences with <1% ambiguous data in the analyses. All acceptable sequences were collapsed into unique haplotypes using Collapse (version 1.2;  http://darwin.uvigo.es/software/collapse.html). To examine the utility of DNA barcode data for identifying and delimiting Smicridea species, we compared intra- and interspecific variation for each species of Chilean Smicridea (Smicridea). We calculated absolute pairwise distances between all haplotypes with PAUP* 4.0b10 (Swofford 2003) and generated a histogram of intraspecific and interspecific differences based on current morphological taxonomic assessment. Our goal in this simple analysis was to identify a potential barcode gap (Hebert et al. 2003).

We did a Bayesian Markov-Chain Monte-Carlo (B/MCMC) phylogenetic analysis with MrBayes v3.1.2 (Ronquist and Huelsenbeck 2003) and the most appropriate model selected by Modeltest v3.5 (Posada and Crandall 1998) to study the relatedness of haplotypes. We ran 2 parallel analyses with 6 chains run for 5 × 106 generations and sampled trees every 1000th generation. We discarded the first 2.5 × 106 generations as burnin. We plotted the log-likelihood scores of sample points against generation time with TRACER 1.0 software ( http://tree.bio.ed.ac.uk/software/tracer/) to ensure that likelihood equilibrium was reached after 2.5 × 106 generations. From the remaining trees, we calculated a majority-rule consensus tree with average branch lengths with the sumt option of MrBayes. We obtained posterior probabilities (pp) for each clade. Two independent runs were done on the Computational Biology Service Unit of Cornell University ( http://cbsu.tc.cornell.edu/).

We did a neighbor joining (NJ) analysis using the Kimura-2-Parameter (K2P) model (Kimura 1980) with the unique haplotypes and with all specimens. We evaluated node support with NJ bootstrapping (Felsenstein 1985) with 5000 replicates implemented by PAUP* 4.0b10 (Swofford 2003). We interpreted bootstrap proportions (bs) between 75 and 90 as indicative of fairly strong support and between 91 to 100 as indicative of strong support of the given relationship (Hillis and Bull 1993). Based on the specimen-level NJ analysis, we considered larvae conspecific with an adult male if they either shared a haplotype with an adult male or were nested within the species boundaries of adult males. If a larva was placed directly basal to the species boundaries based on adult males, we associated the specimen only if it was grouped in a strongly supported and monospecific clade (Zhou et al. 2007).

Species descriptions and specimen deposition

We used standard methods to examine, illustrate, and describe the species (Holzenthal and Anderson 2004). Morphological terminology followed that of Flint (1989). We deposited holotypes and paratypes in the University of Minnesota Insect Collection (UMSP). Additional paratypes were deposited in the National Museum of Natural History, Smithsonian Institution, Washington, DC (NMNH).

Results

The dataset consisted of 463 individuals from 42 taxa. Of these, 19 taxa (405 individuals) were Smicridea (Smicridea) from Chile (Table 1, Appendix 1). These taxa included Smicridea (S.) annulicornis Blanchard 1851, Smicridea (S.) cf. annulicornis, Smicridea (S.) anticura Flint 1989, Smicridea (S.) cf. anticura, Smicridea (S.) decora (Navás 1930), Smicridea (S.) cf. decora, Smicridea (S.) figueroai Holzenthal 2004, Smicridea (S.) frequens (Navás 1930), Smicridea (S.) lourditae new species, Smicridea (S.) manzanara Flint 1989, Smicridea (S.) cf. manzanara, Smicridea (S.) mucronata Flint 1989, Smicridea (S.) patinae new species, Smicridea (S.) penai Flint 1989, Smicridea (S.) cf. penai, Smicridea (S.) pucara Flint 1989, Smicridea (S.) redunca Flint 1989, Smicridea (S.) smilodon Flint 1989, and Smicridea (S.) turgida Flint 1989. The Latin abbreviation cf. (compare) was used to refer to 5 morphologically cryptic (i.e., reliable distinguishing characters not yet discovered) but genetically divergent monophyletic lineages to the morphologically most similar nominal species based on the descriptions and illustrations of Flint (1989), the most authoritative taxonomic reference available (see The barcode gap, Haplotype phylogeny, and Taxonomy below).

In addition, the data set included 18 other species of Smicridea (Smicridea) (40 individuals) from outside of Chile, 3 species of Smicridea (Rhyacophylax) (10 individuals), Smicrophylax parvula (Mosely 1953) (in Mosely and Kimmins 1953) (1 individual), and Asmicridea edwardsii (McLachlan 1866) (7 individuals). The 463 sequences were 658 bp long, and consisted of 203 unique haplotypes based on an analysis using the program Collapse. Haplotype code and GenBank Accession Number for Chilean Smicridea (Smicridea) individuals are given in Appendix 1. Voucher and sequence information of all material studied are also accessible in BOLD project “DNA barcoding Chilean Smicridea (CLSMD)” ( http://www.boldsystems.org).

The barcode gap

Samples of several Chilean species extended across a wide geographic range (Fig. 1, Appendices 1, 2; available online from:  http://dx.doi.org/09-108.s2 (10.1899_09-108.s2.pdf). In contrast, our sample of outgroup taxa generally consisted of only a few specimens from few localities. Therefore, we based the histogram of intra- vs interspecific differences between haplotypes on the ingroup only, i.e., the 19 taxa of Chilean Smicridea (Smicridea). The resulting histogram (Fig. 2) showed a clear gap from 39 to 53 bp differences, where the frequency of divergences in the histogram was always 0. Two isolated groups of data points appeared on the histogram, each comprising multiple peaks. The left group represented almost exclusively intraspecific differences and differences between 2 specimens of S. annulicornis that grouped with specimens of S. cf. annulicornis (see next paragraph). The right group represented interspecific differences or differences between nominal species and the genetically distinct and highly diverged cf. lineages. The number of intraspecific differences was almost exclusively <39 bp (5.9%), whereas interspecific differences and differences between cf. lineages and nominal species were generally >53 bp (8.05%; for exceptions see below). Several peaks occurred within both groups, a result indicating that differences within and among species varied by taxon and taxon comparisons.

Figure 1

Map of central Chile indicating relief and sampling localities of Smicridea (S.) samples used in our study. Collection sites are coded by geographic region: Coastal Range (white), Chiloé (grey), Valle Central (hatched), Andes (black). + marks the holotype locality of Smicridea (S.) lourditae, new species, and Smicridea (S.) patinae, new species.

i0887-3593-29-3-1058-f01.tif

Figure 2

Histogram of intraspecific and interspecific differences observed in Chilean Smicridea (S.) species. The black, white, and grey data series indicate interspecific divergence, intraspecific divergence, and divergence between cf. and nominal taxa, respectively.

i0887-3593-29-3-1058-f02.tif

The morphology of 2 specimens (UMSP000113424 and UMSP000133009) was intermediate between S. annulicornis and S. cf. annulicornis, but the specimens were morphologically closer to the nominal species and were identified as such. However, these individuals clustered within S. cf. annulicornis (Appendix 2). Thus, intraspecific differences between these specimens and other S. annulicornis haplotypes ranged from 63 to 75 bp, whereas interspecific differences between these specimens and S. cf. annulicornis were <14 bp.

In all other cases differences between the nominal and the cf. taxon exceeded the barcode gap: between S. anticura and S. cf. anticura the difference was 68 bp (10.3%); between S. penai and S. cf. penai, and S. decora and S. cf. decora the difference ranged from 73 to 79 bp (11.1–12.0%); and between S. manzanara and S. cf. manzanara the difference ranged from 86 to 94 bp (13.1–14.3%). The minimum distance observed among the species that were clearly distinguishable based on morphology was between S. cf. decora and S. annulicornis and between S. cf. decora and S. cf. annulicornis (both 53 bp, 8.05%). The maximum distance was between S. penai and S. patinae, new species (143 bp, 21.7%).

Haplotype phylogeny

The 2 independent B/MCMC analyses yielded the same topology and the same significantly supported clades (pp ≥ 0.95). The result of the 1st analysis for the haplotypes is shown in Fig. 3 and depicts both pp and NJ bs support values. The base of the tree consisted of 3 lineages of Asmicridea edwardsii, which were selected as outgroups to root the tree. Smicrophylax parvula was sister to a strongly supported clade (pp  =  1.0, bs  =  96) of Smicridea. The relationship among the 2 subgenera Smicridea (Smicridea) and Smicridea (Rhyacophylax) was unresolved. The 3 species of Smicridea (Rhyacophylax) formed a strongly supported clade (pp  =  1.0, bs  =  97), whereas Smicridea (Smicridea) species fell into several lineages. Only 2 of these lineages were resolved with fairly strong and strong support, respectively: a clade of Chilean Smicridea (Smicridea) species (pp  =  1.0, bs  =  83), and 1 clade with 2 subclades consisting of Smicridea (S.) palifera Flint 1981 + (Smicridea (S.) holzenthali Flint and Denning 1989 + Smicridea (S.) nigripennis Banks 1920 + Smicridea (S.) turrialbana Flint and Denning 1989 + Smicridea (S.) ulva Flint 1974b) (pp  =  0.96, bs  =  not applicable [n.a.]; pp  =  1.0, bs  =  100, respectively). The 2 subclades collectively conformed to the nigripennis group (Flint 1974b, Flint and Denning 1989). Within the Chilean clade, several multispecies clades had fairly strong support (pp ≥ 0.97, bs ≥ 84). These clades did not always group with the morphologically most similar taxa. For example, S. lourditae, new species is morphologically closest to S. pucara, but it grouped with S. cf. penai and S. penai as its closest relatives (Fig. 3). In other cases, the morphologically most similar species (e.g., S. turgida and S. patinae) or the nominal and the cf. forms (e.g., S. anticura and S. cf. anticura) were sister taxa.

Figure 3

Bayesian phylogeny of 203 haplotypes recovered in our study. The multihaplotype species-level tip clades were collapsed into triangles (see Appendix 1 for specimen-level details). Height of the triangles is relative to the number of haplotypes within the collapsed clade. Width of triangles indicates degree of divergence among haplotypes within the collapsed clade. Values on branches indicate posterior probabilities ≥0.95 (bold) and NJ bootstrap support values ≥75 (italics). Smicridea (Smicridea) are shaded in grey.

i0887-3593-29-3-1058-f03.tif

At the terminal branches of the tree, most species formed monophyletic groups with strong support (pp  =  1.0, bs  =  100). Species typically showed deep divergence from congeners. The only exceptions were Smicridea (S.) albosignata Ulmer 1907, which was monophyletic, but with a bootstrap value of 71 (pp  =  0.99), and S. cf. annulicornis, which contained 2 specimens identified as S. annulicornis (UMSP000113424 and UMSP000133009) (see above and Discussion).

We tallied fixed (i.e., observed in all individuals), nonsynonymous mutations among cf. taxa and the respective nominal forms and between the new species and the morphologically closest taxa (Table 2). In addition, unique fixed amino acid residues were identified for other species of Chilean Smicridea (S.) (Table 2). Fixed amino acid residues were not observed between S. anticura and S. cf. anticura or between S. lourditae, new species, S. pucara, S. cf. penai and S. penai.

Table 2

Fixed differences in amino acid sequences between selected taxon pairs and fixed amino acid residues for individual taxa of Smicridea (S.). Amino acid residues are given following International Union of Pure and Applied Chemistry (IUPAC) and the International Union of Biochemistry and Molecular Biology (IUBMB) recommendations (A = Alanine, F = Phenylalanine, I = Isoleucine, L = Leucine, M = Methionine, S = Serine, T = Threonine, V = Valine).

i0887-3593-29-3-1058-t02.tif

Larval association

The specimen-level NJ analysis is presented in Appendix 2. All 31 larvae were unambiguously associated to a species according to the association criteria outlined by Zhou et al. (2007). Many larvae shared identical haplotypes with adult males (criterion 1). All larvae that did not share identical haplotypes were nested within sequences from male specimens and within strongly supported monospecific clades (criterion 2). Based on these associations we identified 5 previously unknown larvae: S. decora, S. cf. annulicornis, S. cf. manzanara, S. pucara, and S. smilodon.

Taxonomy

Cryptic lineages

Several individuals and populations formed distinct lineages that were not initially sorted from congeners by morphological characters. After the divergence patterns at COI were revealed, subsequent observation and study did reveal corroborating morphological characters for 3 of these taxa (S. cf. annulicornis, S. cf. decora, and S. cf. manzanara). However, the differences in morphological characters between lineages were small and variable. Thus, we were unable to identify reliable diagnostic characters. A taxonomic resolution was made more difficult by our limited access to or poor condition of type material in some instances. The type of S. annulicornis, at the Paris Museum, was unavailable for study. The macerated genitalia stored in a microvial and fixed on the pin holding the body of the type of S. decora (at the Museum of Zoology, Barcelona) actually belongs to S. penai (Flint 1989, SUP and RWH, personal observation). Moreover, some apparent differences between S. decora and S. cf. decora in size of the internal sacs proved to be variable and difficult to sort when additional material from the NMNH was examined. The difference in morphology between S. manzanara and S. cf. manzanara lies in the width of a distinct bulge on the stem of the phallus when observed in ventral view. The bulge is most pronounced in the type of S. manzanara and other specimens from or in the vicinity of the type locality. The bulge is almost entirely lacking in several of our specimens of S. cf. manzanara. However, the entire paratype series examined from the NMNH consisted of intermediate forms from a wider distribution and draws into question the reliability of the bulge of the phallus as the only diagnostic character.

The situation was more difficult in the other 2 genetically distinct lineages (S. cf. anticura and S. cf. penai). The female of S. cf. anticura does have a more strongly mesally elongated and narrowed sternum VIII than the female of the nominal species. However, we were unable to identify diagnostic features of the male genitalia, although some minor color differences were present in the forewing. With respect to S. penai and S. cf. penai, we were unable to identify interspecific morphological differences that were outside of normal intraspecific variation, and the lineages did not exhibit any morphological characteristics that would allow them to be distinguished. The 2 lineages also were not distinctly associated with specific populations or regions (Appendices 1, 2), and specimens from both clades occurred together in sympatry in 3 populations. Thus, we assume that these might be true cryptic species, i.e., deeply divergent, reciprocally monophyletic lineages that evolved independently for a sufficient amount of time to become reproductively isolated, but did not evolve any observable morphological differences. However, we acknowledge that with more sampling of both COI lineages it might be possible to presort enough individuals to identify previously unobserved morphologically diagnostic characters.

Description of New Species

For 2 morphologically distinct lineages, the DNA barcode data indicated highly divergent lineages, and thus corroborated our initial morphological assessment of their distinctiveness. Here, we formally describe these new species.

Smicridea (S.) lourditae Pauls, Blahnik, Holzenthal, new species

(Fig. 4A–C)

Figure 4

Smicridea (S.) lourditae, new species, male genitalia, holotype (UMSP000113378). A.—Lateral. B.—Dorsal. C.—Phallus, ventral.

i0887-3593-29-3-1058-f04.tif

Diagnosis

Smicridea lourditae is most similar to S. pucara, with which it was collected in sympatry. The 2 species are genetically clearly distinct (not sister in the phylogeny and diverged by 12.3–14.4%). The differences in morphology between the 2 species are slight but consistent. Smicridea pucara has much more heavily mottled forewings and has strikingly darker hair on the 1st and 2nd tibiae than does S. lourditae. There also are consistent differences in the male genitalia, i.e., tergum X, the shape of the stem of the phallus, which is slightly more inflated in ventral view in S. lourditae, and the shape of the lateral plates and dorsolateral lobes at the apex of the phallus. In S. lourditae, the inner ventral margin of the lateral plates is more strongly retracted, so that the lateral plates seem to be more open in ventral view than in S. pucara. The dorsolateral lobes are shorter and more quadrate in S. lourditae. In dorsal view tergum X of S. lourditae is more rounded laterally than in S. pucara. Apically, tergum X is more abruptly narrowed, with the inner margin of the dorsal cleft angled in S. lourditae. In S. pucara, tergum X is gradually narrowed, with an almost straight inner margin of the dorsal cleft.

Description

Length of forewing 9.5–10 mm. Body color brown; appendages paler; antennae annulate; forewings brown with few markings. Eye of male in frontal aspect with diameter ½ of interocular distance. Sternum V with anterolateral processes slightly longer than sternum V. Abdominal segments VI and VII with 2 pairs of internal sacs; both pairs as long as their segments.

Male genitalia (Fig. 4)

Segment IX with anterior margin nearly vertical. Tergum X elongate; tip with wide dorsomesal cleft, ∼2× as deep as wide at widest part, and with inner margin angled; tergite with apex clearly produced, acutely rounded in dorsal aspect, produced and upturned in lateral aspect. Inferior appendage with basal segment slightly inflated apicad; apical segment narrow, subacute, curved mesad. Phallus tubular, base at right angle to stem; width of basal opening in lateral view 3½× diameter of stem at its narrowest point; stem slightly curved upward, apex distinctly enlarged; lateral plates 1½× longer than broad, with ventral margin more or less confluent with ventral margin of stem, in lateral and ventral aspects with mesobasal shoulder present, cupped, and with inner margins of ventral surface distinctly concave, dorsal margins subparallel; dorsolateral lobe short, subtruncate, reaching ∼⅓ length of lateral plate.

Holotype

Male. Chile: Region X – Los Lagos: Monumento Nacional Alerce Costero, unnamed tributary on trail to Alerce Milenario, 895 m, 40°11.874′S, 73°26.217′W, 5-Feb-2008, Holzenthal, Pauls, Mendez: UMSP000113378 (University of Minnesota Insect Collection specimen code and BOLD SampleID), GenBank Accession HM065274, haplotype Hap064.

Paratypes

Male. Chile: Region X – Los Lagos: Monumento Nacional Alerce Costero, unnamed tributary on trail to Alerce Milenario, 895 m, 40°11.874′S, 73°26.217′W, 5-Feb-2008, Holzenthal, Pauls, Mendez: UMSP000113377 (University of Minnesota Insect Collection specimen code and BOLD SampleID), GenBank Accession HM065273, haplotype Hap063. Male. Chile: Region “Osorno” [Region X – Los Lagos]: Bahia, San Pedro West of Purranque, 15 m, 40°56.398′S, 73°51.846′W, 5-Mar-1987, Peña: in NMNH, UMSP000127211.

Distribution and ecology

Two specimens of S. lourditae were collected at a blacklight placed alongside a very small spring brook in the Valdivian Mountain Ranges of coastal Chile (Fig. 1). The site was densely forested with Fitzroya cupressoides, Laureliopsis philippiana, Nothofagus spp., and other tree species. Other species of Smicridea collected at the site were S. mucronata, S. pucara, and S. patinae new species. Other caddisflies collected at the type locality included members of the families Calamoceratidae (Phylloicus aculeatus (Blanchard 1851)), Ecnomidae (Austrotinodes triangularis Schmid 1958), Helicophidae (Austrocentrus griseus Schmid 1964), Hydrobiosidae (Cailloma pumida Ross 1956, Clavichorema chiloeanum Schmid 1955, Clavichorema trancasicum Schmid 1955, Heterochorema paradoxicum Flint 1983, Isochorema flintorum Schmid 1989, Neochorema lobiferum Flint 1969, Neopsilochorema tricarinatum Schmid 1955), Kokiriidae (Pangullia faziana Navás 1934), Leptoceridae (Brachysetodes trifidus Schmid 1955, Triplectides nigripennis Mosely 1936), Limnephilidae (Austrocosmoecus hirsutus Schmid 1955), Philopotamidae (Sortosa elongatoides (Flint 1967), Sortosa chilensis (Navás 1918c)), Philorheithridae (Mystacopsyche ochracea Schmid 1955), Polycentropodidae (Polycentropus quadriappendiculatus Schmid 1964), and Sericostomatidae (Myotrichia murina Schmid 1955, Notidobiella chacayana Schmid 1957).

Etymology

This species is named Smicridea lourditae in honor of Dr. Maria Lourdes Chamorro for her help in the field and for her help in organizing our trips to Chile, without which this study would not have been possible.

Smicridea (S.) patinae Pauls, Blahnik, Holzenthal, new species

(Fig. 5A–D)

Figure 5

Smicridea (S.) patinae, new species, male genitalia, holotype (UMSP000113375). A.—Lateral. B—Dorsal. C.—Phallus, ventral. D.―Abdominal segments V–X, dorsal, showing internal sacs.

i0887-3593-29-3-1058-f05.tif

Diagnosis

This new species is most similar to S. turgida. It can be most easily distinguished from that species by the number of internal abdominal sacs; there is only 1 very small pair in S. patinae, whereas there are 2 pairs of much larger sacs in S. turgida. The 2 species also can be differentiated by the size and position of the lateral plates of the apex of the phallus. In S. patinae, the apicodorsal margin of the phallus stem is more projecting and almost completely covers the lateral plates in both lateral and dorsal view; in S. turgida, both the lateral plates and the dorsolateral lobes are clearly protruding from the phallus stem in lateral view. Flint (1989) mentioned that S. turgida was similar to S. mucronata and S. anticura. From these species, S. patinae differs by the number of internal abdominal sacs and also by the apex of the phallus, particularly the size and position of the lateral plates in ventral and lateral views. In addition, S. patinae is uniformly dark brown with light brown legs, and has uniformly dark brown wings. This pattern is in contrast to the other species, which have lighter bodies and lighter wings that are either flecked, spotted, or mottled.

Description

Length of forewing 6.5 mm. Body color dark brown; appendages paler; antennae annulate; forewings uniformly dark brown. Eye of male in frontal aspect with diameter ½ of interocular distance. Sternum V with anterolateral processes slightly longer than sternum V. Abdominal segment VII with 1 pair of small internal sacs, distinctly shorter than length of segment.

Male genitalia (Fig. 5)

Segment IX with anterior margin slightly rounded anteriorly. Tergum X elongate; tip with dorsomesal cleft, 3× as deep as wide; tergite with apex clearly produced, bluntly rounded in dorsal aspect, enlarged and upturned in lateral aspect. Inferior appendage with basal segment inflated apicomesally; apical segment elongate, slightly mesally curved, produced apicad, blunt. Phallus tubular, base at right angle to stem; width of basal opening in lateral view 4× diameter of stem at narrowest point; stem more or less straight, apex distinctly enlarged; lateral plates shorter than broad, deflected ventrad by slightly excavated dorsal projection of stem, with ventral margin slightly displaced from ventral margin of stem, retracted largely into phallus stem, much narrower than stem, cupped, and with inner margins of ventral surface deeply concave; dorsolateral lobe not visible in lateral view, short, but distinct in ventral view.

Holotype

Male. Chile: Region X – Los Lagos: Monumento Nacional Alerce Costero, unnamed tributary on trail to Alerce Milenario. 895 m, 40°11.874′S, 73°26.217′W, 5-Feb-2008, Holzenthal, Pauls, Mendez: UMSP000113375 (University of Minnesota Insect Collection specimen code and BOLD SampleID), GenBank Accession HM065396, haplotype Hap095.

Distribution and ecology

A single specimen was collected at a blacklight at the same locality as Smicridea lourditae, new species (see site description under that species) (Fig. 1).

Etymology

This species is named Smicridea patinae in honor of Dr. Patina K. Mendez, for her help in the field, without which this study would not have been possible.

Discussion

The DNA barcode gap

Our data suggests that a barcode gap exists in Chilean Smicridea (Smicridea) species. A barcode gap has been implicitly proposed for other caddisfly species (e.g., Graf et al. 2009), but Zhou et al. (2007) showed that no distinct gap existed in the species of Hydropsychidae they examined. In their study, a few species exhibited intraspecific divergences close to 12%, whereas minimal interspecific values were near 7%, with most interspecific values ranging between 12% and 18%. However, Zhou et al. (2007) suggested that multiple species might exist in several taxa showing large intraspecific divergence. Based on our results, a distinct barcode gap appears to exist between 5.9% (maximum intraspecific) and 8.05% (minimum interspecific) uncorrected percentage differences in Chilean Smicridea (Smicridea). These values are relatively high compared with the values observed in other taxa, particularly Lepidoptera, where a 2% lineage divergence between species is often proposed (Hebert et al. 2003, Silva-Brandão et al. 2008). In our study, the gap is obvious among 12 previously described species, 2 new species, and 5 taxa that are morphologically indistinguishable from previously described species, or not reliably diagnosable.

Inconsistencies in the proposed barcode gap are associated with specimens UMSP000113424 and UMSP000133009, which exhibit an intermediate morphology between S. annulicornis and S. cf. annulicornis but are closer to the nominal species. Morphologically extreme forms of both taxa can be clearly distinguished, and the 2 lineages are genetically deeply diverged (9.6%, Fig. 3), but several specimens in both species exhibited slightly intermediate morphologies. We identified these specimens as belonging to the species they resembled most closely based on morphology as described and illustrated by Flint (1989). With the exception of UMSP000113424 and UMSP000133009, all other species identifications were consistent with the corresponding COI clades. Morphologically intermediate forms exist between S. annulicornis and S. cf. annulicornis, even though the molecular data suggests 2 very distinct and quite diverged clades. Therefore, the inconsistent results concerning UMSP000113424 and UMSP000133009 could come from misidentification or possibly from hybridization. The morphological differences among S. annulicornis and S. cf. annulicornis specimens are slight and grade along a continuum between clearly distinct forms. Thus, distinguishing the 2 species is difficult because variation exists in both forms. Some specimens of intermediate morphology might be impossible to identify correctly. These morphologically very similar, but genetically distinct lineages, also might be subject to rare hybridization events. In our samples, both species occurred in sympatry at 3 sites, which shows that potential exists for interspecific mating. Hybridization in caddisflies might produce offspring that exhibit phenotypes intermediate between the parental phenotypes (Blahnik 1995, Wells 2006), but to our knowledge, this possibility has not been demonstrated experimentally. However, a more thorough analysis using multiple nuclear loci is necessary to examine potential hybridization of the 2 species discussed here.

Taxonomy and DNA barcodes

During our field work in Chile, we collected 10 of the 17 previously described species and subsequently corroborated their status as distinct species using COI sequence divergence data: S. annulicornis, S. anticura, S. decora, S. figueroai, S. manzanara, S. mucronata, S. pucara, S. redunca, S. smilodon, and S. turgida. This result confirms that the species were very well circumscribed by Flint (1989) using traditional morphological taxonomy. Subsequent analysis of DNA sequence data helped confirm the existence of 7 additional taxa.

We were readily able to identify and describe 2 new species, but the situation was more difficult for the remaining 5 lineages. For 3 lineages, we found some morphological variation that was distinct in its extreme forms/development. However, the variation of the characters seemed to integrade to some extent, so we currently are unable to distinguish interspecific from intraspecific variation. Additional study, also of more larval material, might reveal reliable diagnostic characters. Difficulty in obtaining types and the poor quality of existing types also prevented us from describing these lineages as new species at this time. We currently think that the 2 other species are true cryptic species that we cannot distinguish morphologically. Resolving this complex of morphologically cryptic lineages will require detailed morphological study of many more specimens from a broader geographic range, including, perhaps, morphometric analysis (e.g., Bálint et al. 2008).

We refrain from describing any of these 5 lineages as new species at this time. Taxonomic description should be based on multiple lines of corroborating evidence and should provide clear diagnostic characters that are useful in identifying and describing diversity. The DNA barcode might provide 1 clearly distinct character, but it is of little use to most biologists assessing diversity based on morphological specimen identification. We think a species description also should be useful in this respect.

With our new species, the total number of formally described Chilean Smicridea (Smicridea) species has increased to 17. Our barcode data and morphological assessment suggest the potential for 5 additional species in Chile. If verified, they would bring the number of known species to 22, an increase in known species diversity of nearly 47%. These results show that even in recently revised caddisfly taxa from fairly well known regions (i.e., temperate central Chile compared to most of tropical South America), many species are yet to be discovered and described. Our study shows that DNA taxonomy can facilitate and expedite the process of identifying and characterizing this diversity. However, our study also clearly shows the limitations of using only DNA barcode data to identify or circumscribe diversity. We can recognize distinct evolutionary units based on the DNA, but we cannot currently circumscribe or even describe the diversity in a meaningful way that allows biologists without access to DNA facilities to identify species, e.g., for water-quality monitoring or stream assessment.

Phylogenetic relationships within Smicrideinae

Our study was not designed to resolve phylogenetic relationships among species of Smicridea or genera of Smicrideinae, and the sole gene region we used was insufficient to resolve these relationships with phylogenetic rigor or confidence. However, our analyses support monophyly of the subgenus Smicridea (Rhyacophylax) and monophyly of the Chilean clade of Smicridea (Smicridea). The subgenus Smicridea (Smicridea) is paraphyletic in our analysis but this relationship was not supported by high posterior probabilities (Fig. 3). These results should be treated with caution because our sampling of taxa or genetic data was insufficient to resolve deeper relationships fully. Accordingly, only very few basal nodes were highly supported in the B/MCMC analysis. Our analysis did provide interpretable results at the species and population level. In addition to lending support for the monophyly of a Chilean clade of Smicridea (Smicridea), the B/MCMC analysis of haplotypes showed that most morphologically distinguished species also were genetically distinct and formed strongly supported monophyletic clades. Exceptions within Chilean Smicridea (Smicridea) were discussed in detail above. Our outgroup taxa, S. albosignata and A. edwardsii, exhibited striking intraspecific divergences or were not monophyletic, respectively (Fig. 3). However, these taxa are not the focus of our study, and we have insufficient data to draw conclusions.

Larval associations in Chilean Smicridea

We were able to associate unambiguously the larvae of S. annulicornis and 5 previously undescribed larvae to species (S. cf. annulicornis, S. decora, S. cf. manzanara, S. pucara, S. smilodon). Our associations fulfilled the rigorous nesting criteria outlined by Zhou et al. (2007). However, Zhou et al. (2007) recommended using more than a single gene for life-stage associations. We only used a single locus, but we are confident in our associations, which were based on deep divergences observed among closely related congeneric species, comprehensive taxon sampling of the focal region, and fulfillment of the association criteria outlined in the methods section. Authors of other studies have used a single marker to associate caddisfly life stages successfully (Graf et al. 2005, 2009, Waringer et al. 2007, 2008). However, when no clear barcode gap or lineage sorting is observed, e.g., for Chinese Hydropsychidae (Zhou et al. 2007), life-stage associations should be based on more than a single locus.

Our associations provided us with another opportunity to examine morphological differences among some of the cryptic species outlined above. Among S. annulicornis and S. cf. annulicornis larvae, we observed differences in the head coloration (distinctive light and dark markings on the head capsule in S. annulicornis and more or less uniformly brown in S. cf. annulicornis), and in the scale hairs on the body surface (broader and more truncated in S. annulicornis than in S. cf. annulicornis). Among S. manzanara and S. cf. manzanara, we noticed differences in coloration of the head capsule, pronotum, and mesonotum and differences in the scale hairs on the body surface. However, we found considerable variation in these characters between 2 populations of S. cf. manzanara. Although these larval differences support the hypothesis that both S. annulicornis/S. cf. annulicornis and S. manzanara/S. cf. manzanara represent pairs of distinct species, the number of specimens and geographic variation in our current larval data set was too limited to draw conclusions about diagnostic larval characters.

Conclusions

Our study shows that combining detailed morphological observation and molecular sequence data, in our case from the DNA barcode region, can be very constructive in discovering and describing new species. To our knowledge, our study represents the first use of COI sequence data from the DNA barcode region to identify and facilitate the description of new caddisfly species. The pace of environmental change, either through habitat destruction or from the detrimental effects of global warming, calls for increasing efforts to discover, describe, and protect the world's biota, especially in biodiversity hotspots. DNA taxonomy or DNA barcoding alone can reveal previously unknown evolutionary units, i.e., species. With formal taxonomic description of the newly recognized diversity, results of such studies will become more valuable to biodiversity surveys or conservation efforts that rely on noninvasive sampling. Thus, we advocate the use of integrative taxonomy (sensu Will et al. 2005, Meier 2008), the collaborative and mutually beneficial integrative application of molecular biology, comparative morphology, and descriptive taxonomy to circumscribe and describe species.

Our study shows that DNA barcode data were useful in delimiting species within Chilean Smicridea (Smicridea) and suitable for life-stage associations. These species are closely related and presumably evolved as a monophyletic radiation in the region. These data are promising for the utility of DNA barcoding for delimiting and associating other Smicridea species. However, many of the other species of Smicridea (Smicridea) have vastly larger ranges across the Neotropical lowlands, over which intraspecific divergences could potentially exceed the ones we observed within Chile. The DNA barcode region of COI also was sufficient for discovering and analyzing intraspecific variation. Thus, it is a candidate locus for widespread application in phylogeographic studies in insects. Furthermore, it is easy to amplify and align. This finding is not novel (Graf et al. 2008, Stradner 2008, Ståhls and Savolainen 2008, Craft et al. 2010), but we think it important to stress that DNA barcodes can be used in insect phylogeography in many cases, perhaps universally. We agree with the growing body of literature that promotes the use of multiple independent, preferably nuclear and mitochondrial, loci in phylogeographic studies (e.g., Hickerson et al. 2010). However, if used widely for intraspecific studies, the barcode region of the COI gene will provide researchers with great opportunities for comparative phylogeographic analysis across taxa and regions with homologous data because a huge amount of barcode data is being accumulated rapidly across animal groups (Hebert et al. 2010). Our results are inconclusive on the utility of the DNA barcoding region for resolving phylogenetic relationships among species within Smicridea or among higher taxa (e.g., genera). At this level, it probably will be necessary to use more genes that are less prone to homoplasy (Rubinoff 2006). In caddisflies, ribosomal 28S D2, elongation-factor 1 alpha (Kjer et al. 2001, 2002, Espeland et al. 2008), and wingless (Pauls et al. 2008) have been useful as additional genes for phylogenetic studies.

Acknowledgments

We thank M. Lourdes Chamorro, Fernando J. Muñoz-Quesada, and Patina K. Mendez for their invaluable help in the field in Chile. We also wish to thank José Luis Galaz Leigh and Ivan Benoit of Corporacíon Nacional Forestal (CONAF) for the permit to collect in the National Parks, and all the wardens for their support in the field. We thank Oliver S. Flint, Jr. (NMNH) for his comments on the new species and for helping us access his type and paratype series at the Smithsonian Institution, and Glòria Masó i Ros at the Museum of Zoology in Barcelona for access to the types of Smicridea (S.) chilensis and Smicridea (S.) penai. Our work was funded through a German Academy of Sciences Leopoldina Postdoctoral Fellowship awarded to SUP (BMBF-LPD 9901/8-169), and the Trichoptera Barcode of Life campaign under the International Barcode of Life project, with financial support from the Natural Sciences and Engineering Research Council (NSERC) and Genome Canada. We thank Paul D. N. Hebert for supporting our study at the Canadian Centre for DNA Barcoding, University of Guelph, and Susan J. Weller for supporting the molecular work in the Department of Entomology at the University of Minnesota. Additional support came from Minnesota Agricultural Experiment Station projects AES 0017015 and AES 0017017 and National Science Foundation grant DEB 0117772 to RWH.

Literature Cited

1.

L. C. Alexander, M. Delion, D. J. Hawthorne, W. O. Lamp, and D. H. Funk . 2009. Mitochondrial lineages and DNA barcoding of closely related species in the mayfly genus Ephemerella (Ephemeroptera:Ephemerellidae). Journal of the North American Benthological Society 28:584–595. Google Scholar

2.

M. Bálint, P. C. Barnard, T. Schmitt, L. Ujvárosi, and O. Popescu . 2008. Differentiation and speciation in mountain streams: a case study in the caddisfly Rhyacophila aquitanica (Trichoptera). Journal of Zoological Systematics and Evolutionary Research 46:340–345. Google Scholar

3.

M. Bálint, L. Botosaneanu, L. Ujvárosi, and O. Popescu . 2009. Taxonomic revision of Rhyacophila aquitanica (Trichoptera: Rhyacophilidae), based on molecular and morphological evidence and change of taxon status of Rhyacophila aquitanica ssp. carpathica to Rhyacophila carpathica stat. n. Zootaxa 2148:39–48. Google Scholar

4.

S. L. Ball, P. D. N. Hebert, S. K. Burian, and J. M. Webb . 2005. Biological identifications of mayflies (Ephemeroptera) using DNA barcodes. Journal of the North American Benthological Society 24:508–524. Google Scholar

5.

N. Banks 1920. New neuropteroid insects. Bulletin of the Museum of Comparative Zoology at Harvard College 64:297–362. Google Scholar

6.

R. J. Blahnik 1995. New species of Smicridea (subgenus Smicridea ) from Costa Rica, with a revision of the fasciatella complex (Trichoptera:Hydropyschidae). Journal of the North American Benthological Society 14:84–107. Google Scholar

7.

R. J. Blahnik, R. W. Holzenthal, and A. Prather . 2007. The lactic acid method for clearing Trichoptera. 9–14. in J. Bueno-Soria, R. Barba-Álvarez, and B. J. Armitage . (editors). Proceedings of the 12th International Symposium on Trichoptera. The Caddis Press. Columbus, Ohio. Google Scholar

8.

E. Blanchard 1851. In Gay's Historia Física y Política de Chile. Zoologia 6:135–142. Google Scholar

9.

A. L. Cabrera and A. Willink . 1980. Biogeografía de América Latina. Organization of American States. Washington, DC. Google Scholar

10.

R. K. Colwell 2003. Biota 2: the biodiversity database manager. Sinauer Associates. Sunderland, Massachusetts. Google Scholar

11.

Conservation International 2007. Chilean Winter Rainfall-Valdivian Forests. in T. Brooks, N. de Silva, M. Foster, M. Hoffmann, D. Knox, P. Langhammer, J. Pilgrim, N. Ratledge, and A. Sweeting . (editors). Biodiversity hotspots. Conservation International. Arlington, Virginia. (Available from:  www.biodiversityhotspots.org/xp/hotspots/chilean_forests/Pages/biodiversity.aspx). Google Scholar

12.

K. J. Craft, S. U. Pauls, K. Darrow, S. E. Miller, P. D. N. Hebert, V. Novotny, and G. Weiblen . 2010. Population genetics of ecological communities with DNA barcodes: an example from New Guinea Lepidoptera. Proceedings of the National Academy of Sciences of the United States of America 107:5041–5046. Google Scholar

13.

F. C. de Moor and V. D. Ivanov . 2008. Global diversity of caddisflies (Trichoptera: Insecta) in freshwater. Hydrobiologia 595:393–407. Google Scholar

14.

B. S. Dyer 2000. Systematic review and biogeography of the freshwater fishes of Chile. Estudios Oceanológicos 19:77–98. Google Scholar

15.

M. Espeland, K. A. Johanson, and R. Hovmöller . 2008. Early Xanthochorema (Trichoptera, Insecta) radiations in New Caledonia originated on ultrabasic rocks. Molecular Phylogenetics and Evolution 48:904–917. Google Scholar

16.

J. Felsenstein 1985. Confidence limits on phylogenies: an approach using the bootstrap. Evolution 39:783–791. Google Scholar

17.

O. S. Flint 1967. Trichoptera collected by Prof. J. Illies in the Chilean subregion. Beiträge zur Neotropischen Fauna 5:45–68. Google Scholar

18.

O. S. Flint 1969. Studies of Neotropical caddis flies, IX: new genera and species from the Chilean subregion. Proceedings of the Entomological Society of Washington 71:497–514. Google Scholar

19.

O. S. Flint 1974a. Checklist of the Trichoptera, or Caddisflies, of Chile. Revista Chilena de Entomología 8:83–93. Google Scholar

20.

O. S. Flint 1974b. Studies of Neotropical caddisflies, XVII: the genus Smicridea from North and Central America (Trichoptera: Hydropsychidae). Smithsonian Contributions to Zoology 167:1–65. Google Scholar

21.

O. S. Flint 1981. Studies of Neotropical caddisflies, XXVIII: the Trichoptera of the Río Limón Basin, Venezuela. Smithsonian Contributions to Zoology 330:1–61. Google Scholar

22.

O. S. Flint 1983. Studies of Neotropical caddisflies, XXXIII: new species from austral South America (Trichoptera). Smithsonian Contributions to Zoology 377:1–100. Google Scholar

23.

O. S. Flint 1989. Studies of Neotropical Caddisflies, XXXIX: the Genus Smicridea in the Chilean Subregion (Trichoptera: Hydropsychidae). Smithsonian Contributions to Zoology 472:1–45. Google Scholar

24.

O. S. Flint 2002. Studies on Neotropical caddisflies, LX: three new species of the Chilean genus Microthremma, with a review of the genus (Trichoptera: Helicophidae). Entomological News 113:225–232. Google Scholar

25.

O. S. Flint and D. G. Denning . 1989. Studies of Neotropical caddisflies, XL: new species of Smicridea (Smicridea) from Middle America and the West Indies (Trichoptera: Hydropsychidae). Proceedings of the Biological Society of Washington 102:418–433. Google Scholar

26.

O. Folmer, M. Black, W. Hoeh, R. Lutz, and R. Vrijenhoek . 1994. DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Molecular Marine Biology and Biotechnology 3:294–299. Google Scholar

27.

W. Graf, V. Lubini, and S. Pauls . 2005. Larval description of Drusus muelleri McLachlan, 1868 (Trichoptera: Limnephilidae) with some notes on its ecology and systematic position within the genus Drusus. Annales de Limnologie – International Journal of Limnology 41:93–98. Google Scholar

28.

W. Graf, S. U. Pauls, and J. Waringer . 2009. The larva of Rhyacophila ferox Graf, 2006 (Trichoptera: Rhyacophilidae) from the Eastern Alps (Carinthia, Austria). Aquatic Insects 31:111–117. Google Scholar

29.

W. Graf, D. Stradner, and S. Weiss . 2008. A new Siphonoperla species from the Eastern Alps (Plecoptera: Chloroperlidae), with comments on the genus. Zootaxa 1891:31–38. Google Scholar

30.

P. D. N. Hebert, A. Cywinska, S. L. Ball, and J. R. deWaard . 2003. Biological identifications through DNA barcodes. Proceedings of the Royal Society of London Series B: Biological Sciences 270:313–321. Google Scholar

31.

P. D. N. Hebert, J. R. DeWaard, and J-F. Landry . 2010. DNA barcodes for 1/1000 of the animal kingdom. Biology Letters 6:359–362. Google Scholar

32.

P. D. N. Hebert, E. H. Penton, J. M. Burns, D. H. Janzen, and W. Hallwachs . 2004. Ten species in one: DNA barcoding reveals cryptic species in the neotropical skipper butterfly Astraptes fulgerator. Proceedings of the National Academy of Sciences of the United States of America 101:14812–14817. Google Scholar

33.

M. J. Hickerson, B. C. Carstens, J. Cavender-Bares, K. A. Crandall, C. H. Graham, J. B. Johnson, L. Rissler, P. F. Victoriano, and A. D. Yoder . 2010. Phylogeography's past, present, and future: 10 years after Avise, 2000. Molecular Phylogenetics and Evolution 54:291–301. Google Scholar

34.

D. M. Hillis and J. J. Bull . 1993. An empirical test of bootstrapping as a method for assessing confidence in phylogenetic analysis. Systematic Biology 42:182–192. Google Scholar

35.

R. W. Holzenthal 2004. Three new species of Chilean caddisflies (Insecta: Trichoptera). Proceedings of the Entomological Society of Washington 106:110–117. Google Scholar

36.

R. W. Holzenthal and T. Andersen . 2004. The caddisfly genus Triaenodes in the Neotropics (Trichoptera: Leptoceridae). Zootaxa 511:1–80. Google Scholar

37.

N. V. Ivanova, J. R. DeWaard, and P. D. N. Hebert . 2006. An inexpensive, automation-friendly protocol for recovering high-quality DNA. Molecular Ecology Notes 6:998–1002. Google Scholar

38.

M. Kimura 1980. A simple method for estimating evolutionary rate of base substitutions through comparative studies of nucleotide sequences. Journal of Molecular Evolution 16:111–120. Google Scholar

39.

K. M. Kjer, R. J. Blahnik, and R. W. Holzenthal . 2001. Phylogeny of Trichoptera (caddisflies): characterization of signal and noise within multiple datasets. Systematic Biology 50:781–816. Google Scholar

40.

K. M. Kjer, R. J. Blahnik, and R. W. Holzenthal . 2002. Phylogeny of caddisflies (Insecta, Trichoptera). Zoologica Scripta 31:83–91. Google Scholar

41.

J. R. Malcolm, C. Liu, R. P. Neilson, L. Hansen, and L. Hannah . 2006. Global warming and extinctions of endemic species from biodiversity hotspots. Conservation Biology 20:538–548. Google Scholar

42.

R. McLachlan 1866. Descriptions of new or little-known genera and species of exotic Trichoptera; with observations on certain species described by Mr. F. Walker. Transactions of the Entomological Society of London, 3rd Series 5:232–240. , plate 239. Google Scholar

43.

R. McLachlan 1871. On new forms, etc., of extra-European trichopterous insects. Journal of the Linnean Society of London, Zoology 11:98–141. Google Scholar

44.

R. Meier 2008. DNA sequences in taxonomy: opportunities and challenges. 95–127. in Q. Wheeler (editor). The new taxonomy. CRC Press. Boca Raton, Florida. Google Scholar

45.

M. T. Monaghan, R. Wild, M. Elliot, T. Fujisawa, M. Balke, D. J. G. Inward, D. C. Lees, R. Ranaivosolo, P. Eggleton, T. G. Barraclough, and A. P. Vogler . 2009. Accelerated species inventory on Madagascar using coalescent-based models of species delineation. Systematic Biology 58:298–311. Google Scholar

46.

J. C. Morse 2006. Trichoptera world checklist. Clemson University. Clemson, South Carolina. (Available from  http://entweb.clemson.edu/database/trichopt). Google Scholar

47.

M. E. Mosely 1936. A revision of the Triplectidinae, a subfamily of the Leptoceridae (Trichoptera). Transactions of the Royal Entomological Society of London 85:91–130. Google Scholar

48.

M. E. Mosely and D. E. Kimmins . 1953. The Trichoptera of Australia and New Zealand. British Museum (Natural History). London, UK. Google Scholar

49.

F. Müller 1879. Notes on the cases of some South Brazilian Trichoptera. Transactions of the Royal Entomological Society of London 4:131–144. Google Scholar

50.

N. Myers, R. A. Mittermeier, C. G. Mittermeier, G. A. B. DaFonseca, and J. Kent . 2000. Biodiversity hotspots for conservation priorities. Nature 403:853–858. Google Scholar

51.

L. Navás 1918a. Insectos Chilenos. Boletín de la Sociedad Aragonesa de Ciencias Naturales 17:212–230. Google Scholar

52.

L. Navás 1918b. Insecta Nova, III, IV Series. Memorie della Pontificia Accademia Romana dei Nuovi Lincei, Serie II 4:1–23. Google Scholar

53.

L. Navás 1918c. Neurópteros nuevos o poco conocidos (Décima serie). Memorias de la Real Academia de Ciencias y Artes de Barcelona. Tercera Epoca 14:339–366. Google Scholar

54.

L. Navás 1930. Algunos insectos de Chile, serie 4a(10). Revista Chilena de Historia Natural 34:350–366. Google Scholar

55.

L. Navás 1934. Insectos Suramericanos. Novena serie. Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales de Madrid 31:155–184. Google Scholar

56.

A. Neboiss 1977. A taxonomic and zoogeographic study of Tasmanian caddis flies (Insecta: Trichoptera). Memoirs of the National Museum of Victoria 38:1–208. , plates 201–203. Google Scholar

57.

S. U. Pauls, W. Graf, P. Haase, H. T. Lumbsch, and J. Waringer . 2008. Grazers, shredders and filtering carnivores—the evolution of feeding ecology in Drusinae (Trichoptera: Limnephilidae): insights from a molecular phylogeny. Molecular Phylogenetics and Evolution 46:776–791. Google Scholar

58.

S. U. Pauls, K. Theissinger, L. Ujvárosi, M. Bálint, and P. Haase . 2009. Population structure in two closely related, partially sympatric caddisflies in Eastern Europe: historic introgression, limited dispersal, and cryptic diversity. Journal of the North American Benthological Society 28:517–536. Google Scholar

59.

M. Perez-Losada, G. Bond-Buckup, C. G. Jara, and K. A. Crandall . 2009. Conservation assessment of southern South American freshwater ecoregions on the basis of the distribution and genetic diversity of crabs from the genus Aegla. Conservation Biology 23:692–702. Google Scholar

60.

D. Posada and K. A. Crandall . 1998. Modeltest: testing the model of DNA substitution. Bioinformatics 14:817–818. Google Scholar

61.

A. F. Rojas 2006. Estado de conocimiento de los Trichoptera de Chile. Gayana 70:65–71. Google Scholar

62.

F. Ronquist and J. P. Huelsenbeck . 2003. MRBAYES 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 19:1572–1574. Google Scholar

63.

H. H. Ross 1956. Evolution and classification of the mountain caddisflies. University of Illinois Press. Urbana, Illinois. Google Scholar

64.

D. Rubinoff 2006. Utility of mitochondrial DNA barcodes in species conservation. Conservation Biology 20:1026–1033. Google Scholar

65.

I. Sanmartín and F. Ronquist . 2004. Southern hemisphere biogeography inferred by event-based models: plant vs. animal patterns. Systematic Biology 53:216–243. Google Scholar

66.

F. Schmid 1955. Contribution à la connaissance des Trichoptères néotropicaux. Mémoires de la Société Vaudoise des Sciences Naturelles 11:117–160. Google Scholar

67.

F. Schmid 1957. Contribution à l'étude des Trichoptères Néotropicaux II. Beiträge zur Entomologie 7:379–398. Google Scholar

68.

F. Schmid 1958. Contribution à l'étude des Trichoptères Néotropicaux III. Mitteilungen aus dem Zoologischen Museum in Berlin 34:183–217. Google Scholar

69.

F. Schmid 1964. Contribution à l'étude des trichoptères néotropicaux V. Tijdschrift voor Entomologie 107:307–339. Google Scholar

70.

F. Schmid 1989. Les hydrobiosides (Trichoptera, Annulipalpia). Bulletin de l'Institut Royal des Sciences Naturelles de Belgique, Entomologie 59, Supplement:1–154. Google Scholar

71.

L. Shan, L. Yang, and B. Wang . 2004. Association of larval and adult stages of ecologically important caddisfly (Insecta: Trichoptera) using mitochondrial DNA sequences. Zoological Research 25:351–355. Google Scholar

72.

K. Silva-Brandão, A. Azeredo-Espin, and A. Freitas . 2008. New evidence on the systematic and phylogenetic position of Parides burchellanus (Lepidoptera: Papilionidae). Molecular Ecology Resources 8:502–511. Google Scholar

73.

G. Ståhls and E. Savolainen . 2008. MtDNA COI barcodes reveal cryptic diversity in the Baetis vernus group (Ephemeroptera, Baetidae). Molecular Phylogenetics and Evolution 46:82–87. Google Scholar

74.

D. Stradner 2008. Molecular systematics, evolution and zoogeography of the stonefly genus Siphonoperla – Zwick, 1967 (Plecoptera, Chloroperlidae). Karl-Franzens-University. Graz, Austria. Google Scholar

75.

D. L. Swofford 2003. PAUP*. Phylogenetic analysis using parsimony (*and other methods). Sinauer Associates. Sunderland, Massachusetts. Google Scholar

76.

G. Ulmer 1907. Neue Trichopteren. Notes from the Leyden Museum 29:1–53. Google Scholar

77.

P. J. Unmack, A. P. Bennin, E. M. Habit, P. F. Victoriano, and J. B. Johnson . 2009. Impact of ocean barriers, topography, and glaciation on the phylogeography of the catfish Trichomycterus areolatus (Teleostei: Trichomycteridae) in Chile. Biological Journal of the Linnean Society 97:876–892. Google Scholar

78.

A. M. Vogler and M. T. Monaghan . 2006. Recent advances in DNA taxonomy. Journal of Zoological Systematics and Evolutionary Research 45:1–10. Google Scholar

79.

J. Waringer, W. Graf, S. Pauls, and V. Lubini . 2007. The larva of Drusus nigrescens Meyer-Dür, 1875 (Trichoptera: Limnephilidae: Drusinae) with notes on its ecology, genetic differentiation and systematic position. Annales de Limnologie – International Journal of Limnology 43:161–166. Google Scholar

80.

J. Waringer, W. Graf, S. U. Pauls, H. Vicentini, and V. Lubini . 2008. DNA based association and description of the larval stage of Drusus melanchaetes McLachlan, 1876 (Trichoptera: Limnephilidae: Drusinae) with notes on ecology and zoogeography. Limnologica 38:34–42. Google Scholar

81.

A. Wells 2006. A review of Australian long-horned caddisflies in the Oecetis pechana-group (Trichoptera: Leptoceridae), with descriptions of thirteen new species. Memoirs of Museum Victoria 63:107–128. Google Scholar

82.

K. W. Will, B. D. Mishler, and Q. Wheeler . 2005. The perils of DNA barcoding and the need for integrative taxonomy. Systematic Biology 54:844–851. Google Scholar

83.

X. Zhou 2009. The larvae of Chinese Hydropsychidae (Insecta: Trichoptera), Part I: Arctopsyche shimianensis, Parapsyche sp. A, and Diplectrona obscura. Zootaxa 2174:1–17. Google Scholar

84.

X. Zhou, S. J. Adamowicz, L. M. Jacobus, R. E. DeWalt, and P. D. N. Hebert . 2009. Towards a comprehensive barcode library for Arctic life—Ephemeroptera, Plecoptera, and Trichoptera of Churchill, Manitoba, Canada. Frontiers in Zoology 6:30. Google Scholar

85.

X. Zhou, L. M. Jacobus, R. E. DeWalt, S. J. Adamowicz, and P. D. N. Hebert . 2010. Ephemeroptera, Plecoptera, and Trichoptera fauna of Churchill (Manitoba, Canada): insights into biodiversity patterns from DNA barcoding. Journal of the North American Benthological Society 29:000–000. Google Scholar

86.

X. Zhou, K. M. Kjer, and J. C. Morse . 2007. Associating larvae and adults of Chinese Hydropsychidae caddisflies (Insecta:Trichoptera) using DNA sequences. Journal of the North American Benthological Society 26:719–742. Google Scholar
Steffen U. Pauls, Roger J. Blahnik, Xin Zhou, C. Taylor Wardwell, and Ralph W. Holzenthal "DNA barcode data confirm new species and reveal cryptic diversity in Chilean Smicridea (Smicridea) (Trichoptera:Hydropsychidae)," Journal of the North American Benthological Society 29(3), 1058-1074, (20 July 2010). https://doi.org/10.1899/09-108.1
Received: 11 August 2009; Accepted: 1 May 2010; Published: 20 July 2010
KEYWORDS
cryptic species
DNA taxonomy
Integrative taxonomy
larval association
mtDNA
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