A DNA Barcode Library for North American Pyraustinae (Lepidoptera: Pyraloidea: Crambidae)

A taxonomic revision of Boiga multomaculata (Boie, 1827) and B. ochracea (Theobald, 1868), with the description of a new subspecies (Squamata, Serpentes, Colubridae)

The analyses of molecular genetic data (mtDNA markers 16S, ND4, CYTB, and the nuclear marker c-mos) provided evidence that the Asian cat snake taxa Boiga multomaculata and B. ochracea actually represent a single species. They form mixed clades of low intraclade genetic differentiation. This evidence for conspecificy is supported by the lack of differentiation in all examined pholidotic and morphometric characters. Therefore, we formally place Dipsas ochracea Theobald, 1868 in the synonymy of Dipsas multomaculata Boie, 1827. We provide a summary of the tangled taxonomic history of the taxa involved in this study. Also, we resurrect Dipsadomorphus stoliczkae Wall, 1909 from synonymy of B. ochracea, for specimens exhibiting 21 midbody dorsal scale rows. Boiga stoliczkae is found in the Himalayas north and west of the Brahmaputra valley. Finally, based on the detection of historical genetic lineages within the newly defined species Boiga multomaculata we recognize three subspecies: Boiga multomaculata multomaculata (Boie, 1827), Boiga multomaculata ochracea (Theobald, 1868), and Boiga multomaculata septentrionalis n. ssp. which is distributed in northern Myanmar and Assam and Nagaland, India. We designate BMNH 1946.1.2.60 (1) as neotype of Dipsas ochracea Theobald, (2) as lectotype of D. ochraceus Günther, and (3) as lectotype of Boiga ochracea walli Smith, thereby making these names objective synonyms. Finally, we designate BMNH 94.12.31.55 as lectotype of Dipsadomorphus stoliczkae Wall.

DNA Barcodes for Accurate Identification of Selected Medicinal Plants (Caryophyllales): Toward Barcoding Flowering Plants of the United Arab Emirates

The need for herbal medicinal plants is steadily increasing. Hence, the accurate identification of plant material has become vital for safe usage, avoiding adulteration, and medicinal plant trading. DNA barcoding has shown to be a valuable molecular identification tool for medicinal plants, ensuring the safety and efficacy of plant materials of therapeutic significance. Using morphological characters in genera with closely related species, species delimitation is often difficult. Here, we evaluated the capability of the nuclear barcode ITS2 and plastid DNA barcodes rbcL and matK to identify 20 medicinally important plant species of Caryophyllales. In our analysis, we applied an integrative approach for species discrimination using pairwise distance-based unsupervised operational taxonomic unit “OTU picking” methods, viz., ABGD (Automated Barcode Gap Analysis) and ASAP (Assemble Species by Automatic Partitioning). Along with the unsupervised OTU picking methods, Supervised Machine Learning methods (SML) were also implemented to recognize divergent taxa. Our results indicated that ITS2 was more successful in distinguishing between examined species, implying that it could be used to detect the contamination and adulteration of these medicinally important plants. Moreover, this study suggests that the combination of more than one method could assist in the resolution of morphologically similar or closely related taxa.

Diversity investigation by application of DNA barcoding: A case study of lepidopteran insects in Xinjiang wild fruit forests, China

To investigate the species diversity of lepidopteran insects in Xinjiang wild fruit forests, establish insect community monitoring systems, and determine the local species pool, we test the applicability of DNA barcoding based on cytochrome c oxidase subunit I (COI) gene for accurate and rapid identification of insect species. From 2017 to 2019, a total of 212 samples with ambiguous morphological identification were selected for DNA barcoding analysis. Five sequence-based methods for species delimitation (ABGD, BINs, GMYC, jMOTU, and bPTP) were conducted for comparison to traditional morphology-based identification. In total, 2,422 samples were recorded, representing 143 species of 110 genera in 17 families in Lepidoptera. The diversity analysis showed that the richness indices for Noctuidae was the highest (54 species), and for Pterophoridae, Cossidae, Limacodidae, Lasiocampidae, Pieridae, and Lycaenidae were the lowest (all with 1 species). The Shannon-Wiener species diversity index (H') and Pielou's evenness (J') of lepidopteran insects first increased and then decreased across these 3 years, while the Simpson diversity index showed a trend of subtracted then added. For molecular-based identification, 67 lepidopteran species within 61 genera in 14 families were identified through DNA barcoding. Neighbor-joining (NJ) analysis showed that conspecific individuals were clustered together and formed monophyletic groups with a high support value, except for Lacanobia contigua (Denis & Schiffermüller, 1775) (Noctuidae: Hadeninae). Sixty-seven morphospecies were classified into various numbers of MOTUs based on ABGD, BINs, GMYC, jMOTU, and bPTP (70, 96, 2, 71, and 71, respectively). In Xinjiang wild fruit forests, the family with the largest number of species is Noctuidae, followed by Geometridae, Crambidae, and the remaining families. The highest Shannon diversity index is observed for the family Noctuidae. Our results indicate that the distance-based methods (ABGD and jMOTU) and character-based method (bPTP) outperform GMYC. BINs is inclined to overestimate species diversity compared to other methods.

Barcoding Analysis of Paraguayan Squamata

Paraguay is a key spot in the central region of South America where several ecoregions converge. Its fauna (and specifically its herpetofauna) is getting better studied than years before, but still there is a lack of information regarding molecular genetics, and barcoding analyses have proven to be an excellent tool in this matter. Here, we present results of a barcoding analysis based on 16S rRNA gene sequences, providing valuable data for the scientific community in the region. We based our fieldwork in several areas of Paraguay. We analyzed 249 samples (142 sequenced by us) with a final alignment of 615 bp length. We identified some taxonomic incongruences that can be addressed based on our results. Furthermore, we identify groups, where collecting efforts and research activities should be reinforced. Even though we have some blanks in the geographical coverage of our analysis—and there is still a lot to do towards a better understanding of the taxonomy of the Paraguayan herpetofauna—here, we present the largest genetic dataset for the mitochondrial DNA gene 16S of reptiles (particularly, Squamata) from Paraguay, which can be used to solve taxonomic problems in the region.

Revision of the species composition and distribution of Turkish sand flies using DNA barcodes

Background

Currently, knowledge regarding the phlebotomine sand fly (Diptera: Psychodidae) fauna of Turkey is restricted to regions with endemic leishmaniasis. However, rapidly changing environmental and social conditions highlight concerns on the possible future expansion of sand fly-borne diseases in Turkey, promoting risk assessment through biosurveillance activities in non-endemic regions. Traditional morphological approaches are complicated by extensive cryptic speciation in sand flies, thus integrated studies utilizing DNA markers are becoming increasingly important for correct sand fly identification. This study contributes to the knowledge of the sand fly fauna in understudied regions of Turkey, and provides an extensive DNA barcode reference library of expertly identified Turkish sand fly species for the first time.

Methods

Fly sampling was conducted at 101 locations from 29 provinces, covering all three biogeographical regions of Turkey. Specimens were morphologically identified using available keys. Cytochrome c oxidase I (cox1) barcode sequences were analyzed both for morphologically distinct species and those specimens with cryptic identity. A taxon identity tree was obtained using Neighbor Joining (NJ) analysis. Species boundaries among closely related taxa evaluated using ABGD, Maximum Likelihood (ML) and haplotype network analyses. Sand fly richness of all three biogeographical regions were compared using nonparametric species richness estimators.

Results

A total of 729 barcode sequences (including representatives of all previously reported subgenera) were obtained from a total of 9642 sand fly specimens collected in Turkey. Specimens belonging to the same species or species complex clustered together in the NJ tree, regardless of their geographical origin. The species delimitation methods revealed the existence of 33 MOTUs, increasing the previously reported 28 recorded sand fly species by 17.8%. The richest sand fly diversity was determined in Anatolia, followed by the Mediterranean, and then the Black Sea regions of the country.

Conclusions

A comprehensive cox1 reference library is provided for the sand fly species of Turkey, including the proposed novel taxa discovered herein. Our results have epidemiological significance exposing extensive distributions of proven and suspected sand fly vectors in Turkey, including those areas currently regarded as non-endemic for sand fly-borne disease.

Electronic supplementary material

The online version of this article (10.1186/s13071-019-3669-3) contains supplementary material, which is available to authorized users.

Towards a global DNA barcode reference library for quarantine identifications of lepidopteran stemborers, with an emphasis on sugarcane pests

Lepidopteran stemborers are among the most damaging agricultural pests worldwide, able to reduce crop yields by up to 40%. Sugarcane is the world’s most prolific crop, and several stemborer species from the families Noctuidae, Tortricidae, Crambidae and Pyralidae attack sugarcane. Australia is currently free of the most damaging stemborers, but biosecurity efforts are hampered by the difficulty in morphologically distinguishing stemborer species. Here we assess the utility of DNA barcoding in identifying stemborer pest species. We review the current state of the COI barcode sequence library for sugarcane stemborers, assembling a dataset of 1297 sequences from 64 species. Sequences were from specimens collected and identified in this study, downloaded from BOLD or requested from other authors. We performed species delimitation analyses to assess species diversity and the effectiveness of barcoding in this group. Seven species exhibited <0.03 K2P interspecific diversity, indicating that diagnostic barcoding will work well in most of the studied taxa. We identified 24 instances of identification errors in the online database, which has hampered unambiguous stemborer identification using barcodes. Instances of very high within-species diversity indicate that nuclear markers (e.g. 18S, 28S) and additional morphological data (genitalia dissection of all lineages) are needed to confirm species boundaries.

Systematics of the new genus Spinosuncus Chen, Zhang &amp; Li with descriptions of four new species (Lepidoptera, Crambidae, Pyraustinae)

The new genus Spinosuncusgen. n. is proposed for three known species, S.contractalis (Warren, 1896), comb. n., S.praepandalis (Snellen, 1890), comb. n., and S.aureolalis (Lederer, 1863), comb. n. and four new species, S.rectacutussp. n., S.brevacutussp. n., S.curvisetaceussp. n., and S.quadracutussp. n. from the Oriental Region. An identification key is provided for all species. The habiti and genitalia of all species are figured. The monophyly of the genus is well supported by a phylogenetic analysis based on sequence data of the COI, 16S rRNA, and EF-1α genes. The potential sister groups of the new genus, the interspecific relationships and some intraspecific variations within the genus are discussed.

DNA Barcoding for Identification of Sugarcane Borers in China

Sugarcane borers are economically damaging insects with species that vary in distribution patterns both geographically and temporally, and vary based on ecological niche. Currently, identification of sugarcane borers is mostly based on morphological characters. However, morphological identification requires taxonomic expertise. An alternative method to identify sugarcane borers is the use of molecular data. DNA barcoding based on partial cytochrome c oxidase subunit 1 (COI) sequences has proven to be a useful tool for rapid and accurate species determination in many insect taxa. This study was conducted to test the effectiveness of DNA barcodes to discriminate among sugarcane borer species in China. Partial sequences of the COI gene (709 bp) were obtained from six species collected from different geographic areas. Results showed that the pairwise intraspecies genetic distance was < 0.02, whereas the interspecies genetic distance ranged from 0.117 to 0.182. Results from a neighbor-joining tree showed that the six sugarcane borer species were certainly separated. These results suggested that the partial COI sequences had high barcoding resolution in discriminating among sugarcane borer species. Our study emphasized the use of DNA barcodes for identification of the analyzed sugarcane borer species and represents an important step for building a comprehensive barcode library for sugarcane borers in China.

Description of a new species of Homonota (Reptilia, Squamata, Phyllodactylidae) from the central region of northern Paraguay

Homonotais a gecko distributed in central and southern South America with 12 species allocated in three groups. In this work, we performed molecular and morphological analyses of samples ofHomonotafrom the central region of northern Paraguay, comparing the data with those of related species of the group:H.horridaandH.septentrionalis. We found strong molecular evidence (based on 16S, Cyt-b, and PRLR gene sequences) to distinguish this lineage as a new species. Morphological statistical analysis showed that females of the three species are different in metric characters (SVL and TL as the most contributing variables), whereas males are less differentiated. No robust differences were found in meristic characters. The most remarkable trait for the diagnosis of the new species is the presence of well-developed keeled tubercles on the sides of the neck, and lack of a white band (crescent-shaped) in the occipital area, which is present inH.horridaandH.septentrionalis. Nevertheless, in our sample, we found three specimens (one juvenile and two young adults) that exhibit the white occipital band. Thus, this character seems only reliable in adults of the new species. The new species is parapatric toH.septentrionalis, both inhabiting the Dry Chaco of Paraguay.

Delineating closely related species of Tylostega Meyrick (Lepidoptera: Crambidae: Spilomelinae) from mainland China using DNA barcodes

Integrative taxonomic study of three species of the genus Tylostega revealed that the genetic distances of the COI gene among the tested species was relatively large (3.27-7.60%). The Automatic Barcode Gap Discovery (ABGD) system performed better than the Barcode Index Number (BIN) in discriminating closely related species. This work provides a molecular baseline for future integrative taxonomic study of Crambidae.

Evaluation of multilocus marker efficacy for delineating mangrove species of West Coast India

The plant DNA barcoding is a complex and requires more than one marker(s) as compared to animal barcoding. Mangroves are diverse estuarine ecosystem prevalent in the tropical and subtropical zone, but anthropogenic activity turned them into the vulnerable ecosystem. There is a need to build a molecular reference library of mangrove plant species based on molecular barcode marker along with morphological characteristics. In this study, we tested the core plant barcode (rbcL and matK) and four promising complementary barcodes (ITS2, psbK-psbI, rpoC1 and atpF-atpH) in 14 mangroves species belonging to 5 families from West Coast India. Data analysis was performed based on barcode gap analysis, intra- and inter-specific genetic distance, Automated Barcode Gap Discovery (ABGD), TaxonDNA (BM, BCM), Poisson Tree Processes (PTP) and General Mixed Yule-coalescent (GMYC). matK+ITS2 marker based on GMYC method resolved 57.14% of mangroves species and TaxonDNA, ABGD, and PTP discriminated 42.85% of mangrove species. With a single locus analysis, ITS2 exhibited the higher discriminatory power (87.82%) and combinations of matK + ITS2 provided the highest discrimination success (89.74%) rate except for Avicennia genus. Further, we explored 3 additional markers (psbK-psbI, rpoC1, and atpF-atpH) for Avicennia genera (A. alba, A. officinalis and A. marina) and atpF-atpH locus was able to discriminate three species of Avicennia genera. Our analysis underscored the efficacy of matK + ITS2 markers along with atpF-atpH as the best combination for mangrove identification in West Coast India regions.

A new cryptic species of Nagiella Munroe from China revealed by DNA barcodes and morphological evidence (Lepidoptera, Crambidae, Spilomelinae)

Nagiella occultalis Misbah & Yang, sp. n. from China is described and illustrated. This new species is very similar to N. quadrimaculalis (Kollar, 1844) in general morphological characters of forewing and male genitalia. Molecular evidence shows that these two species diverge in COI barcode region by more than 3.2%. Sequence divergence among the two species is congruent with subtle morphological differences. Wing venation and male genitalia of the two species are compared and illustrated.