DNA barcode library for European Gelechiidae (Lepidoptera) suggests greatly underestimated species diversity

Detailed DNA barcoding of mayflies in a small European country proved how far we are from having comprehensive barcode reference libraries

Mayflies (Ephemeroptera) are among the crucial water and habitat quality bioindicators. However, despite their intensive long-term use in various studies, more reliable mayfly DNA barcode data have been produced in a negligible number of countries, and only ~40% of European species had been barcoded with less than 50% of families covered. Despite being carried out in a small area, our study presents the second-most species-rich DNA reference library of mayflies from Europe and the first comprehensive view from an important biodiversity hotspot such as the Western Carpathians. Within 1153 sequences, 76 morphologically determined species were recorded and added to the Barcode of Life Data System (BOLD) database. All obtained sequences were assigned to 97 BINs, 11 of which were unique and three represented species never barcoded before. Sequences of 16 species with high intraspecific variability were divided into 40 BINs, confirming the presence of cryptic lineages. Due to the low interspecific divergence and the non-existing barcoding gap, sequences of six species were assigned to three shared BINs. Delimitation analyses resulted in 79 and 107 putative species respectively. Bayesian and maximum-likelihood phylogenies confirmed the monophyly of almost all species and complexes of cryptic taxa and proved that DNA barcoding distinguishes almost all studied mayfly species. We have shown that it is still sufficient to thoroughly investigate the fauna of a small but geographically important area to enrich global databases greatly. In particular, the insights gained here transcend the local context and may have broader implications for advancing barcoding efforts.

The InBIO Barcoding Initiative Database: DNA barcodes of Portuguese moths

Background

The InBIO Barcoding Initiative (IBI) Dataset - DS-IBILP08 contains records of 2350 specimens of moths (Lepidoptera species that do not belong to the superfamily Papilionoidea). All specimens have been morphologically identified to species or subspecies level and represent 1158 species in total. The species of this dataset correspond to about 42% of mainland Portuguese Lepidoptera species. All specimens were collected in mainland Portugal between 2001 and 2022. All DNA extracts and over 96% of the specimens are deposited in the IBI collection at CIBIO, Research Center in Biodiversity and Genetic Resources.

New information

The authors enabled "The InBIO Barcoding Initiative Database: DNA barcodes of Portuguese moths" in order to release the majority of data of DNA barcodes of Portuguese moths within the InBIO Barcoding Initiative. This dataset increases the knowledge on the DNA barcodes of 1158 species from Portugal belonging to 51 families. There is an increase in DNA barcodes of 205% in Portuguese specimens publicly available. The dataset includes 61 new Barcode Index Numbers. All specimens have their DNA barcodes publicly accessible through BOLD online database and the distribution data can be accessed through the Global Biodiversity Information Facility (GBIF).

A DNA barcode library of Austrian geometridae (Lepidoptera) reveals high potential for DNA-based species identification

Situated in the Eastern section of the European Alps, Austria encompasses a great diversity of different habitat types, ranging from alpine to lowland Pannonian ecosystems, and a correspondingly high level of species diversity, some of which has been addressed in various DNA barcoding projects. Here, we report a DNA barcode library of all the 476 species of Geometridae (Lepidoptera) that have been recorded in Austria. As far as possible, species were sampled from different Austrian regions in order to capture intraspecific genetic variation. In total, 2500 DNA barcode sequences, representing 438 species, were generated in this study. For complete coverage of Austrian geometrid species in the subsequent analyses, the dataset was supplemented with DNA barcodes from specimens of non-Austrian origin. Species delimitations by ASAP, BIN and bPTP methods yielded 465, 510 and 948 molecular operational taxonomic units, respectively. Congruency of BIN and ASAP partitions with morphospecies assignments was reasonably high (85% of morphospecies in unique partitions), whereas bPTP appeared to overestimate the number of taxonomic units. The study furthermore identified taxonomically relevant cases of morphospecies splitting and sharing in the molecular partitions. We conclude that DNA barcoding and sequence analysis revealed a high potential for accurate DNA-based identification of the Austrian Geometridae species. Additionally, the study provides an updated checklist of the geometrid moths of Austria.

Klimeschiopsis terroris auctt. from Spaina further case of cryptic diversity in European Lepidoptera (Lepidoptera, Gelechiidae, Gelechiinae)

A new species of Gnorimoschemini (Gelechiidae), Klimeschiopsis arnoldfransorum sp. nov., is described from specimens collected in Spain. The species is most closely related to Klimeschiopsis terroris (Hartig, 1938), with which it was hitherto mixed, but differs particularly by its small size with reduced yellowish-white forewing markings, the characters of the male and female genitalia, and the highly divergent DNA barcode (cytochrome c-oxidase subunit 1). Adult and genitalia of both sexes are figured. Finally, a checklist of the genus is provided.

Thiotrichasumpichi sp. nov. - a new species of Thiotrichinae (Lepidoptera, Gelechiidae) from south-eastern Europe

Thiotrichasumpichisp. nov. is described from Greece and Croatia. The systematic position of the new species within Thiotricha is discussed based on external and genitalia characters and from DNA barcodes of the mitochondrial COI gene (cytochrome c oxidase 1). Adults, details of external morphology, and male and female genitalia of the new species are illustrated.

DNA Barcode Library of Megadiverse Lepidoptera in an Alpine Nature Park (Italy) Reveals Unexpected Species Diversity

Species inventories are a prerequisite for biodiversity monitoring and conservation, particularly in protected areas. However, the possibilities of a standardized survey of species diversity using DNA barcoding have so far hardly been implemented, especially in species-rich groups. A first-time molecular-based and nearly complete inventory of the megadiverse insect order Lepidoptera in a protected area in the Alps (Cottian Alps, Italy) was intended to test the possibilities and reliability of DNA-based identifications. From voucher material collected between 2019 and 2022, we successfully sequenced 1213 morphospecies that grouped into 1204 BINs (barcode index numbers), whereas DNA barcoding failed for another 18 species. A total of 35 species shared a BIN with one or more taxa, but a majority of 19 species could still be discriminated by divergent sequences. A total of 12 morphospecies split into two BINs. These species and a further 22 taxa with unique BINs and barcode divergences >2% to the nearest neighbor require taxonomic re-assessment. Two additional cryptic species from the study area were described recently. Finally, 16 species are newly recorded for Italy. Our study, therefore, demonstrates the importance of DNA barcoding for both faunistics and the discovery of cryptic diversity, even in apparently well-studied protected areas.

Chromosomal-level genome assembly of potato tuberworm, Phthorimaea operculella: a pest of solanaceous crops

The potato tuberworm, Phthorimaea operculella Zeller, is an oligophagous pest feeding on crops mainly belonging to the family Solanaceae. It is one of the most destructive pests of potato worldwide and attacks foliage and tubers in the field and in storage. However, the lack of a high-quality reference genome has hindered the association of phenotypic traits with their genetic basis. Here, we report on the genome assembly of P. operculella at the chromosomal level. Using Illumina, Nanopore and Hi-C sequencing, a 648.2 Mb genome was generated from 665 contigs, with an N50 length of 3.2 Mb, and 92.0% (596/648.2 Mb) of the assembly was anchored to 29 chromosomes. In total, 16619 genes were annotated, and 92.4% of BUSCO genes were fully represented. The chromosome-level genome of P. operculella will provide a significant resource for understanding the genetic basis for the biological study of this insect, and for promoting the integrative management of this pest in future.

A DNA barcode library for katydids, cave crickets, and leaf-rolling crickets (Tettigoniidae, Rhaphidophoridae and Gryllacrididae) from Zhejiang Province, China

Barcode libraries are generally assembled with two main objectives in mind: specimen identification and species discovery/delimitation. In this study, the standard COI barcode region was sequenced from 681 specimens belonging to katydids (Tettigoniidae), cave crickets (Rhaphidophoridae), and leaf-rolling crickets (Gryllacrididae) from Zhejiang Province, China. Of these, four COI-5P sequences were excluded from subsequent analyses because they were likely NUMTs (nuclear mitochondrial pseudogenes). The final dataset consisted of 677 barcode sequences representing 90 putative species-level taxa. Automated cluster delineation using the Barcode of Life Data System (BOLD) revealed 118 BINs (Barcodes Index Numbers). Among these 90 species-level taxa, 68 corresponded with morphospecies, while the remaining 22 were identified based on reverse taxonomy using BIN assignment. Thirteen of these morphospecies were represented by a single barcode (so-called singletons), and each of 19 morphospecies were split into more than one BIN. The consensus delimitation scheme yielded 55 Molecular Operational Taxonomic Units (MOTUs). Only four morphospecies (I _max > DNN) failed to be recovered as monophyletic clades (i.e., Elimaeaterminalis, Phyllomimusklapperichi, Sinochloraszechwanensis and Xizicushowardi), so it is speculated that these may be species complexes. Therefore, the diversity of katydids, cave crickets, and leaf-rolling crickets in Zhejiang Province is probably slightly higher than what current taxonomy would suggest.

Analysis of the Holarctic Dictyoptera aurora Complex (Coleoptera, Lycidae) Reveals Hidden Diversity and Geographic Structure in Müllerian Mimicry Ring

The elateroid family Lycidae is known for limited dispersal propensity and high species-level endemism. The red net-winged beetle, Dictyoptera aurora (Herbst, 1874), differs from all relatives by the range comprising almost the entire Holarctic region. Based on a five-marker phylogeny and 67 barcode entries (cox1-5' mtDNA) from the whole range, we recovered two genetically distinct species within traditionally defined D. aurora and resurrected the name D. coccinata (Say, 1835) as the oldest available synonym for Nearctic populations. Yet, no reliable morphological trait distinguishes these species except for minute differences in the male genitalia. D. coccinata is a monophylum resulting from a single Miocene dispersal event, ~15.8 million years ago, and genetic divergence implies long-term isolation by the Bering Strait. Far East Asian and west European populations are also genetically distinct, although to a lower extent. Two independent colonization events established the Fennoscandian populations after the last glacial maximum. Besides intrinsic factors, the high morphological similarity might result from stabilizing selection for shared aposematic signals. The rapidly accumulating barcode data provide valuable information on the evolutionary history and the origins of regional faunas.

Underestimated cryptic diversity in the Caryocolumtricolorella species complex (Lepidoptera, Gelechiidae)

The taxonomy of the Caryocolumtricolorella species complex, an informal subsection of the diverse Caryocoluminteralbicella species group, is revised and four species are separated from DNA barcodes of the mitochondrial COI (cytochrome c oxidase subunit 1) gene and adult morphology: C.tricolorella (Haworth, 1812), C.fibigerium Huemer, 1988, C.herwigvanstaai sp. nov., and C.olekarsholti sp. nov. These species show a vicariant distribution pattern, with C.tricolorella widely distributed in Central and Northern Europe, C.fibigerium restricted to the Iberian Peninsula and southern France, C.herwigvanstaai sp. nov. to the Italian Peninsula, and C.olekarsholti sp. nov. to the Balkans. All species are described in detail, and the adults and genitalia of both sexes are illustrated.

Integrative taxonomy reveals overlooked cryptic diversity in the conifer feeding Batrachedra pinicolella (Zeller, 1839) (Lepidoptera, Batrachedridae)

During efforts to generate DNA barcodes for all European Lepidoptera, Batrachedrapinicolella (Zeller, 1839) was found to comprise two genetically distinct clusters. Morphological investigation and results from two nuclear markers and ddRAD sequencing furthermore support the existence of two distinct taxa which we treat as two separate species, B.pinicolella and B.confusellasp. nov. A lectotype for B.pinicolella is designated. Available data indicate that the biology of both species also differs, with Piceaabies (L.) Karsten as a proved host-plant for B.pinicolella and Pinussylvestris L. for B.confusellasp. nov. Both species are mainly distributed on the European continent with B.pinicolella occurring in boreal parts of North and Central Europe and introduced to Canada, reflecting a boreo-montane distribution pattern. Batrachedraconfusellasp. nov. is more widely distributed in temperate Northern and Central Europe.

Current State of DNA Barcoding of Sciaroidea (Diptera)—Highlighting the Need to Build the Reference Library

Simple Summary

DNA barcoding is a method by which a specific region of the mitochondrial genome is used to quantify genetic distances within and between animal species. Most DNA barcodes of the world are assembled on the Barcode of Life online database BoldSystems (BOLD). There, machine-generated barcode index numbers (BINs) are automatically assigned to clusters of specimens thought to represent species. I review the current state of DNA barcoding of the superfamily Sciaroidea, a diverse insect group consisting of close to 16,000 described fly species in eight families. To date, over 1.2 million specimens of Sciaroidea have been barcoded and the 56,648 assigned BINs on BOLD already represent 3.5 times the number of described species. Still, 95% of the BINs have currently no associated scientific name and very little effort has been put into building a quality-checked reference library where named species are linked to the BINs on BOLD. In the Nordic region, however, substantial progress is made towards building a complete reference library. While DNA barcoding has tremendous potential for advancing the knowledge for many diverse groups of insects, its potential will never be fully reached absent more engagement of trained taxonomists to build voucher collections, curate the reference libraries, and describe new species.

Abstract

DNA barcoding has tremendous potential for advancing species knowledge for many diverse groups of insects, potentially paving way for machine identification and semi-automated monitoring of whole insect faunas. Here, I review the current state of DNA barcoding of the superfamily Sciaroidea (Diptera), a diverse group consisting of eight understudied fly families where the described species in the world makes up some 10% (≈16,000 species) of all Diptera. World data of Sciaroidea were extracted from the Barcode of Life online database BoldSystems (BOLD) and contrasted with results and experiences from a Nordic project to build the reference library. Well over 1.2 million (1,224,877) Sciaroidea specimens have been submitted for barcoding, giving barcode-compliant sequences resulting in 56,648 so-called barcode index numbers (BINs, machine-generated proxies for species). Although the BINs on BOLD already represent 3.5 times the number of described species, merely some 2850 named species (described or interim names, 5% of the BINs) currently have been assigned a BIN. The other 95% remain as dark taxa figuring in many frontier publications as statistics representing proxies for species diversity within a family. In the Nordic region, however, substantial progress has been made towards building a complete reference library, currently making up 55% of all named Sciaroidea BINs on BOLD. Another major source (31%) of named Sciaroidea BINs on BOLD comes from COI sequences mined from GenBank, generated through phylogenetic and integrative studies outside of BOLD. Building a quality reference library for understudied insects such as Sciaroidea requires heavy investment, both pre sequence and post sequence, by trained taxonomists to build and curate voucher collections, to continually improve the quality of the data and describe new species. Only when the BINs are properly calibrated by a rigorously quality-checked reference library can the great potential of both classical taxonomic barcoding, metabarcoding, and eDNA ecology be realized.

DNA barcoding of insects from India: Current status and future perspectives

Insect fauna occupy the largest proportion of animal biodiversity on earth, but the assessment or quantification in terms of species diversity is far from complete. Several recent studies have demonstrated the rapid pace at which insect population decline is occurring. There is an urgent need to document and quantify the diversity of insect fauna for a proper understanding of terrestrial ecosystems. This can be achieved by using modern technology to identify species much faster than relying on traditional methods alone. In line with this, the molecular approach through DNA barcoding coupled with morphological identification needs to be focused and accelerated. The present paper describes the current status of barcoding of insect species in India along with the gaps that need to be remedied. This analysis shows that barcoded specimens cover a very meagre proportion of less than 3.73% of the known taxa/described species and the most represented orders are Lepidoptera and Hemiptera followed by Diptera and Coleoptera. There is a need to expedite insect species discovery and documentation in a collaborative mode between traditional taxonomists and molecular biologists, to accomplish the DNA barcoding of all known insect taxa from India.

A molecular-based identification resource for the arthropods of Finland

To associate specimens identified by molecular characters to other biological knowledge, we need reference sequences annotated by Linnaean taxonomy. In this study, we (1) report the creation of a comprehensive reference library of DNA barcodes for the arthropods of an entire country (Finland), (2) publish this library, and (3) deliver a new identification tool for insects and spiders, as based on this resource. The reference library contains mtDNA COI barcodes for 11,275 (43%) of 26,437 arthropod species known from Finland, including 10,811 (45%) of 23,956 insect species. To quantify the improvement in identification accuracy enabled by the current reference library, we ran 1000 Finnish insect and spider species through the Barcode of Life Data system (BOLD) identification engine. Of these, 91% were correctly assigned to a unique species when compared to the new reference library alone, 85% were correctly identified when compared to BOLD with the new material included, and 75% with the new material excluded. To capitalize on this resource, we used the new reference material to train a probabilistic taxonomic assignment tool, FinPROTAX, scoring high success. For the full-length barcode region, the accuracy of taxonomic assignments at the level of classes, orders, families, subfamilies, tribes, genera, and species reached 99.9%, 99.9%, 99.8%, 99.7%, 99.4%, 96.8%, and 88.5%, respectively. The FinBOL arthropod reference library and FinPROTAX are available through the Finnish Biodiversity Information Facility (www.laji.fi) at https://laji.fi/en/theme/protax. Overall, the FinBOL investment represents a massive capacity-transfer from the taxonomic community of Finland to all sectors of society.

Congruence between morphology-based species and Barcode Index Numbers (BINs) in Neotropical Eumaeini (Lycaenidae)

BACKGROUND

With about 1,000 species in the Neotropics, the Eumaeini (Theclinae) are one of the most diverse butterfly tribes. Correct morphology-based identifications are challenging in many genera due to relatively little interspecific differences in wing patterns. Geographic infraspecific variation is sometimes more substantial than variation between species. In this paper we present a large DNA barcode dataset of South American Lycaenidae. We analyze how well DNA barcode BINs match morphologically delimited species.

METHODS

We compare morphology-based species identifications with the clustering of molecular operational taxonomic units (MOTUs) delimitated by the RESL algorithm in BOLD, which assigns Barcode Index Numbers (BINs). We examine intra- and interspecific divergences for genera represented by at least four morphospecies. We discuss the existence of local barcode gaps in a genus by genus analysis. We also note differences in the percentage of species with barcode gaps in groups of lowland and high mountain genera.

RESULTS

We identified 2,213 specimens and obtained 1,839 sequences of 512 species in 90 genera. Overall, the mean intraspecific divergence value of CO1 sequences was 1.20%, while the mean interspecific divergence between nearest congeneric neighbors was 4.89%, demonstrating the presence of a barcode gap. However, the gap seemed to disappear from the entire set when comparing the maximum intraspecific distance (8.40%) with the minimum interspecific distance (0.40%). Clear barcode gaps are present in many genera but absent in others. From the set of specimens that yielded COI fragment lengths of at least 650 bp, 75% of the a priori morphology-based identifications were unambiguously assigned to a single Barcode Index Number (BIN). However, after a taxonomic a posteriori review, the percentage of matched identifications rose to 85%. BIN splitting was observed for 17% of the species and BIN sharing for 9%. We found that genera that contain primarily lowland species show higher percentages of local barcode gaps and congruence between BINs and morphology than genera that contain exclusively high montane species. The divergence values to the nearest neighbors were significantly lower in high Andean species while the intra-specific divergence values were significantly lower in the lowland species. These results raise questions regarding the causes of observed low inter and high intraspecific genetic variation. We discuss incomplete lineage sorting and hybridization as most likely causes of this phenomenon, as the montane species concerned are relatively young and hybridization is probable. The release of our data set represents an essential baseline for a reference library for biological assessment studies of butterflies in mega diverse countries using modern high-throughput technologies an highlights the necessity of taxonomic revisions for various genera combining both molecular and morphological data.

Evaluating DNA Barcoding for Species Identification and Discovery in European Gracillariid Moths

Gracillariidae is the most species-rich leaf-mining moth family with over 2,000 described species worldwide. In Europe, there are 263 valid named species recognized, many of which are difficult to identify using morphology only. Here we explore the use of DNA barcodes as a tool for identification and species discovery in European gracillariids. We present a barcode library including 6,791 COI sequences representing 242 of the 263 (92%) resident species. Our results indicate high congruence between morphology and barcodes with 91.3% (221/242) of European species forming monophyletic clades that can be identified accurately using barcodes alone. The remaining 8.7% represent cases of non-monophyly making their identification uncertain using barcodes. Species discrimination based on the Barcode Index Number system (BIN) was successful for 93% of species with 7% of species sharing BINs. We discovered as many as 21 undescribed candidate species, of which six were confirmed from an integrative approach; the other 15 require additional material and study to confirm preliminary evidence. Most of these new candidate species are found in mountainous regions of Mediterranean countries, the South-Eastern Alps and the Balkans, with nine candidate species found only on islands. In addition, 13 species were classified as deep conspecific lineages, comprising a total of 27 BINs with no intraspecific morphological differences found, and no known ecological differentiation. Double-digest restriction-site associated DNA sequencing (ddRAD) analysis showed strong mitonuclear discrepancy in four out of five species studied. This discordance is not explained by Wolbachia-mediated genetic sweeps. Finally, 26 species were classified as “unassessed species splits” containing 71 BINs and some involving geographical isolation or ecological specialization that will require further study to test whether they represent new cryptic species.

DNA barcodes for Aotearoa New Zealand Pyraloidea (Lepidoptera)

Identification of pyraloid species is often hampered by highly similar external morphology requiring microscopic dissection of genitalia. This becomes especially obvious when mass samples from ecological studies or insect monitoring have to be analysed. DNA barcode sequences could accelerate identification, but are not available for most pyraloid species from New Zealand. Hence, we are presenting a first DNA-barcode library for this group, providing 440 COI barcodes (cytochrome C oxidase I sequences) for 73 morphologically-identified species, which is 29% of Pyraloidea known from New Zealand. Results are analysed using the Barcode Index Number system (BIN) of BOLD and the Automatic Barcode Gap Discovery method (ABGD). Using BIN, the 440 barcodes reveal 82 clusters. A perfect match between BIN assignment and morphological identification was found for 63 species (86.3%). Four species (5.5%) share BINs, each with two species in one BIN, of which Glaucocharis epiphaea and Glaucocharis harmonica even share the same barcode. In contrast, six species (8.2%) split into two or more BINs, with the highest number of five BINs for Orocrambus ramosellus. The interspecific variation of all collected specimens of New Zealand Pyraloidea averages 12.54%. There are deep intraspecific divergences (> 2%) in seven species, for instance Orocrambus vulgaris with up to 6.6% and Scoparia ustimacula with 5.5%. Using ABGD, the 440 barcodes reveal 71 or 88 operational taxonomic units (OTUs), depending on the preferred partition. A perfect match between OTU and morphological identification was found for 56 species (76.7%) or 62 species (84.9%). ABGD delivers four or seven species sharing OTUs and four or ten species split into more than one OTU. Morphological re-examination, as well as the analysis of a concatenated dataset of COI and the nuclear markers EF1α and GADPH for species split into more than one BIN or OTU, do not support a higher number of species. Likewise, there is no evidence for Wolbachia infection as a trigger for these sequence variations.

Monopis jussii, a new species (Lepidoptera, Tineidae) inhabiting nests of the Boreal owl (Aegolius funereus)

Monopis jussii Kaila, Mutanen, Huemer, Karsholt & Autto, sp. nov. (Lepidoptera, Tineidae) is described as a new species. It is closely related to the widespread and common M. laevigella ([Denis & Schiffermüller], 1775), but differs in its distinct COI DNA barcode sequences, four examined nuclear loci as well as details in forewing coloration and pattern. Most reared specimens of M. jussii have emerged from the nest remnants of the Boreal owl (Aegolius funereus (Linnaeus, 1758)), but also nests of the Ural owl (Strix uralensis Pallas, 1771) and the Great tit (Parus major Linnaeus, 1758) have been observed as suitable habitats. Based on the present knowledge, the new species has a boreo-montane distribution as it is recorded only from northern Europe and the Alps. Several extensive rearing experiments from Strix spp. nest remnants from southern Finland did not produce any M. jussii, but thousands of M. laevigella, suggesting that the species is lacking in the area or, more unlikely, that the nest of these owl species do not serve as good habitat for the new species. This unexpected species discovery highlights, once again, the usefulness of DNA barcoding in revealing the cryptic layers of biodiversity. To serve stability we select a neotype for Tinea laevigella [Denis & Schiffermüller], 1775, and discuss the complicated synonymy and nomenclature of this species.

Cryptic Diversity in the Monotypic Neotropical Micromoth Genus Angelabella (Lepidoptera: Gracillariidae) in the Peru-Chile Desert

Simple Summary

The Neotropical Region harbors a highly diverse and poorly known fauna of leaf miners of the micromoth family Gracillariidae (Lepidoptera). Angelabella is a genus of Gracillariidae whose geographic range is restricted to a few valleys of the arid environments of the Peru-Chile desert. Only one species is currently included in this genus. The aims of this study were to explore the geographic range, determine the spatial distribution of mitochondrial lineages, and test lineage conspecificity hypotheses in Angelabella. The spatial distribution of genetic diversity indicated four spatial clusters, three of which are north of the previously known geographic range. These groups were defined as different species by four species delimitation methods. These results suggest that Angelabella harbors at least four morphologically cryptic species with restricted, not overlapping geographic ranges. This study shows that adequate single locus sequence analysis can be useful to discover surprising biodiversity patterns in underexplored environments, providing the base to plan further studies involving little-known organisms.

Abstract

Angelabella (Lepidoptera: Gracillariidae: Oecophyllembiinae) is considered a monotypic Neotropical genus of leaf miner micromoths known only from a few valleys of the arid environments of the Peru-Chile desert, particularly the southernmost part of Peru and northernmost part of Chile (type locality), where natural populations of its primary host plant occur. The geographic distribution of potential host plants provides a scenario for a wider range for this micromoth genus. The aims of this study were to explore the geographic range of Angelabella, determine the spatial distribution of mitochondrial lineages, and test lineage conspecificity hypotheses. The spatial distribution of genetic diversity indicated the presence of four spatial clusters, three of which are north of the previously known geographic range. Genetic distances were 0.2–0.8% and 3.6–8.3% (K2P) between haplotypes of the same and different spatial clusters, respectively. Phylogenetic relationships indicated reciprocal monophyly among the four spatial clusters, suggesting that allopatric differentiation processes have governed the recent history of Angelabella in these arid environments. These groups were defined as different species by four species delimitation methods, suggesting that Angelabella is not a monotypic genus, but harbors at least four morphologically cryptic allopatric species with restricted geographic ranges, including the type species and three candidate species.

Commented checklist of European Gelechiidae (Lepidoptera)

The checklist of European Gelechiidae covers 865 species, belonging to 109 genera, with three species records which require confirmation. Further, it is the first checklist to include a complete coverage of proved synonyms of species and at generic level. The following taxonomic changes are introduced: Pseudosophronia constanti (Nel, 1998) syn. nov. of Pseudosophronia exustellus (Zeller, 1847), Metzneria expositoi Vives, 2001 syn. nov. of Metzneria aestivella (Zeller, 1839); Sophronia ascalis Gozmány, 1951 syn. nov. of Sophronia grandii Hering, 1933, Aproaerema incognitana (Gozmány, 1957) comb. nov., Aproaerema cinctelloides (Nel & Varenne, 2012) comb. nov., Aproaerema azosterella (Herrich-Schäffer, 1854) comb. nov., Aproaerema montanata (Gozmány, 1957) comb. nov., Aproaerema cincticulella (Bruand, 1851) comb. nov., Aproaerema buvati (Nel, 1995) comb. nov., Aproaerema linella (Chrétien, 1904) comb. nov., Aproaerema captivella (Herrich-Schäffer, 1854) comb. nov., Aproaerema semicostella (Staudinger, 1871) comb. nov., Aproaerema steppicola (Junnilainen, 2010) comb. nov., Aproaerema cottienella (Nel, 2012) comb. nov., Ptocheuusa cinerella (Chrétien, 1908) comb. nov., Pragmatodes melagonella (Constant, 1895) comb. nov., Pragmatodes albagonella (Varenne & Nel, 2010) comb. nov., Pragmatodes parvulata (Gozmány, 1953) comb. nov., Oxypteryx nigromaculella (Millière, 1872) comb. nov., Oxypteryx wilkella (Linnaeus, 1758) comb. nov., Oxypteryx ochricapilla (Rebel, 1903) comb. nov., Oxypteryx superbella (Zeller, 1839) comb. nov., Oxypteryx mirusella (Huemer & Karsholt, 2013) comb. nov., Oxypteryx baldizzonei (Karsholt & Huemer, 2013) comb. nov., Oxypteryx occidentella (Huemer & Karsholt, 2011) comb. nov., Oxypteryx libertinella (Zeller, 1872) comb. nov., Oxypteryx gemerensis (Elsner, 2013) comb. nov., Oxypteryx deserta (Piskunov, 1990) comb. nov., Oxypteryx unicolorella (Duponchel, 1843) comb. nov., Oxypteryx nigritella (Zeller, 1847) comb. nov., Oxypteryx plumbella (Heinemann, 1870) comb. nov., Oxypteryx isostacta (Meyrick, 1926) comb. nov., Oxypteryx helotella (Staudinger, 1859) comb. nov., Oxypteryx parahelotella (Nel, 1995) comb. nov., Oxypteryx graecatella (Šumpich & Skyva, 2012) comb. nov.; Aproaerema genistae (Walsingham, 1908) comb. rev., Aproaerema thaumalea (Walsingham, 1905) comb. rev.; Dichomeris neatodes Meyrick, 1923 sp. rev.; Caryocolum horoscopa (Meyrick, 1926) stat. rev.; Ivanauskiella occitanica (Nel & Varenne, 2013) sp. rev.; Apodia martinii Petry, 1911 sp. rev.; Caulastrocecis cryptoxena (Gozmány, 1952) sp. rev. Following Article 23.9.2 ICZN we propose Caryocolum blandella (Douglas, 1852) (Gelechia) nom. protectum and Caryocolum signatella (Eversmann, 1844) (Lita) nom. oblitum.