Complete mitochodrial genome of Bangana decora (Cypriniformes, Cyprinidae)

The complete mitochondrial genome of Bangana decora was determined in this study. The gene composition, arrangement and transcriptional orientation in B. decora mitogenome were identical to most vertebrates. The complete mitogenome of B. decora was 16,607 bp in size with 13 protein-coding genes, 22 tRNA genes and a control region. Two start codon patterns and three stop codon patterns were found in protein-coding genes. Only the tRNA-Ser2 could not fold into a typical clover-leaf secondary structure due to the absence of the dihydrouridine arm. Sequence alignment results suggest that the complete mitogenome of B. decora is an efficient tool to study molecular phylogenetics, biogeography and adaptive evolution of this lineage.

The complete mitochondria genome of Ravinia pernix (Diptera: Sarcophagidae)

Ravinia pernix is considered to be a forensically important fly species of the family Sarcophagidae. In this study, we present the complete mitochondrial genome of Ravinia pernix for the first time. There is one encoding region including 37 genes and one non-coding AT-rich region observed in the 15,778 bp circular genome, containing 13 protein-encoding genes, 22 transfer RNA genes and 2 ribosomal RNA genes. The arrangement of the genes is the same as that found in the ancestral arthropod. The base compositions of A, T, G and C are 39.57%, 37.60%, 9.36% and 13.47%, respectively. The mitochondrial genome of Ravinia pernix presented will be valuable and useful for enriching the dipteran mitochondrial genomes, resolving phylogenetic relationships within the family Sarcophagidae and the order Diptera, and providing a molecular tool for species identifications for forensic purposes.

The complete mitochondria genome of Sarcophaga africa (Diptera: Sarcophagidae)

Sarcophaga africa (S. africa) is a significant medical and forensic insect which belongs to the Sarcophagidae. The species identification of the forensically important genus Sarcophaga is difficult and requires strong morphology and taxonomic expertise. With the sequencing technique improved, we report the complete mitochondrial genome of the S. africa for the first time to assist species identification. The 37 genes presented in the 15,144 bp circular genome has been found which include 13 protein-coding genes, 22 transfer RNA genes, and 2 ribosomal RNA genes. The array of the genes has much resemblance with other discovered insects. The overall base compositions of A, G, C and T are 39.43%, 9.64%, 14.61% and 36.31% respectively. The complete mitochondrial genome of S. africa could be valuable to enriching the Dipteran mitochondrial genomes and be helpful for entomologists to screen reliable molecular markers in the species identifications with forensic entomology purposes or phylogenetic analysis.

Ascidian mitogenomics: comparison of evolutionary rates in closely related taxa provides evidence of ongoing speciation events

Ascidians are a fascinating group of filter-feeding marine chordates characterized by rapid evolution of both sequences and structure of their nuclear and mitochondrial genomes. Moreover, they include several model organisms used to investigate complex biological processes in chordates. To study the evolutionary dynamics of ascidians at short phylogenetic distances, we sequenced 13 new mitogenomes and analyzed them, together with 15 other available mitogenomes, using a novel approach involving detailed whole-mitogenome comparisons of conspecific and congeneric pairs. The evolutionary rate was quite homogeneous at both intraspecific and congeneric level, and the lowest congeneric rates were found in cryptic (morphologically undistinguishable) and in morphologically very similar species pairs. Moreover, congeneric nonsynonymous rates (dN) were up to two orders of magnitude higher than in intraspecies pairs. Overall, a clear-cut gap sets apart conspecific from congeneric pairs. These evolutionary peculiarities allowed easily identifying an extraordinary intraspecific variability in the model ascidian Botryllus schlosseri, where most pairs show a dN value between that observed at intraspecies and congeneric level, yet consistently lower than that of the Ciona intestinalis cryptic species pair. These data suggest ongoing speciation events producing genetically distinct B. schlosseri entities. Remarkably, these ongoing speciation events were undetectable by the cox1 barcode fragment, demonstrating that, at low phylogenetic distances, the whole mitogenome has a higher resolving power than cox1. Our study shows that whole-mitogenome comparative analyses, performed on a suitable sample of congeneric and intraspecies pairs, may allow detecting not only cryptic species but also ongoing speciation events.

The complete mitochondrial genome sequence of Hemibagrus sp. (Siluriformes: Bagridae), molecular data for species identification

In this study, we determined and described the complete mitogenome sequence of Hemibagrus sp. for the first time, which is 16,513 bp in length, and contains 37 genes, including 13 protein-coding genes, 2 rRNAs, 22 tRNAs, 1 origin of replication on the light-strand (OL) and a putative control region. The overall base composition was 31.1% A, 26.9% T, 26.9% C, 15.1% G, with a slight AT bias (58.0%). All protein-coding genes shared the start codon ATG, except for COI, which began with GTG. The tRNA-Ser(UGC) couldn't be folded into the typical cloverleaf secondary structure because its dihydrouridine arm is replaced by a simple loop. These results are expected to provide useful molecular data for species identification and further phylogenetic studies of Bagridae and Siluriformes.

ITS1: a DNA barcode better than ITS2 in eukaryotes?

A DNA barcode is a short piece of DNA sequence used for species determination and discovery. The internal transcribed spacer (ITS/ITS2) region has been proposed as the standard DNA barcode for fungi and seed plants and has been widely used in DNA barcoding analyses for other biological groups, for example algae, protists and animals. The ITS region consists of both ITS1 and ITS2 regions. Here, a large-scale meta-analysis was carried out to compare ITS1 and ITS2 from three aspects: PCR amplification, DNA sequencing and species discrimination, in terms of the presence of DNA barcoding gaps, species discrimination efficiency, sequence length distribution, GC content distribution and primer universality. In total, 85 345 sequence pairs in 10 major groups of eukaryotes, including ascomycetes, basidiomycetes, liverworts, mosses, ferns, gymnosperms, monocotyledons, eudicotyledons, insects and fishes, covering 611 families, 3694 genera, and 19 060 species, were analysed. Using similarity-based methods, we calculated species discrimination efficiencies for ITS1 and ITS2 in all major groups, families and genera. Using Fisher's exact test, we found that ITS1 has significantly higher efficiencies than ITS2 in 17 of the 47 families and 20 of the 49 genera, which are sample-rich. By in silico PCR amplification evaluation, primer universality of the extensively applied ITS1 primers was found superior to that of ITS2 primers. Additionally, shorter length of amplification product and lower GC content was discovered to be two other advantages of ITS1 for sequencing. In summary, ITS1 represents a better DNA barcode than ITS2 for eukaryotic species.

The Use of MALDI-TOF Mass Spectrometry, Ribotyping and Phenotypic Tests to Identify Lactic Acid Bacteria from Fermented Cereal Foods in Abidjan (Côte d'Ivoire)

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) protein analysis, automated ribotyping, and phenotypic tests (e.g., cell morphology, gas production from glucose, growth and acid production on homofermemtative-heterofermentative differential (HHD) agar medium, sugar fermentation patterns) were used to identify 23 lactic acid bacteria (LAB) isolated from fermented cereal foods available in Abidjan, Côte d'Ivoire. Pediococcus acidilactici (56.5%), Lactobacillus fermentum (30.4%), L. salivarius (4.3%), P. pentosaceus (4.3%) and L. plantarum subsp. plantarum (4.3%) were the species and subspecies identified. Protein based identification was confirmed by automated ribotyping for selected isolates and was similar to that provided by the phenotypic characterization. MALDI-TOF MS protein analysis provided a high level of discrimination among the isolates and could be used for the rapid screening of LAB starter cultures.

Identification of Belgian mosquito species (Diptera: Culicidae) by DNA barcoding

Since its introduction in 2003, DNA barcoding has proven to be a promising method for the identification of many taxa, including mosquitoes (Diptera: Culicidae). Many mosquito species are potential vectors of pathogens, and correct identification in all life stages is essential for effective mosquito monitoring and control. To use DNA barcoding for species identification, a reliable and comprehensive reference database of verified DNA sequences is required. Hence, DNA sequence diversity of mosquitoes in Belgium was assessed using a 658 bp fragment of the mitochondrial cytochrome oxidase I (COI) gene, and a reference data set was established. Most species appeared as well-supported clusters. Intraspecific Kimura 2-parameter (K2P) distances averaged 0.7%, and the maximum observed K2P distance was 6.2% for Aedes koreicus. A small overlap between intra- and interspecific K2P distances for congeneric sequences was observed. Overall, the identification success using best match and the best close match criteria were high, that is above 98%. No clear genetic division was found between the closely related species Aedes annulipes and Aedes cantans, which can be confused using morphological identification only. The members of the Anopheles maculipennis complex, that is Anopheles maculipennis s.s. and An. messeae, were weakly supported as monophyletic taxa. This study showed that DNA barcoding offers a reliable framework for mosquito species identification in Belgium except for some closely related species.

The complete mitochondria genome of Parasarcophaga similis (Diptera: Sarcophagidae)

The complete mitochondrial genome of Parasarcophaga similis collected from China was determined using PCR reactions. The mitogenome was 15,158 bp in length with a total A + T content of 76.4%, consisting of 22 transfer RNA genes, 13 protein-coding genes, 2 ribosomal RNA genes and a control region. The gene contents of the mitogenome were identical to those observed in other insects. The overall base compositions of A, G, C and T were 39.54%, 9.43%, 14.20% and 36.83%, respectively. This paper aimed to improve and perfect dipteran mitochondrial genomes and provided the first complete mitochondrial genome of Parasarcophaga similis for entomologists as a potential tool for application of phylogenetic analysis and forensic entomology.

The effect of call libraries and acoustic filters on the identification of bat echolocation

Quantitative methods for species identification are commonly used in acoustic surveys for animals. While various identification models have been studied extensively, there has been little study of methods for selecting calls prior to modeling or methods for validating results after modeling. We obtained two call libraries with a combined 1556 pulse sequences from 11 North American bat species. We used four acoustic filters to automatically select and quantify bat calls from the combined library. For each filter, we trained a species identification model (a quadratic discriminant function analysis) and compared the classification ability of the models. In a separate analysis, we trained a classification model using just one call library. We then compared a conventional model assessment that used the training library against an alternative approach that used the second library. We found that filters differed in the share of known pulse sequences that were selected (68 to 96%), the share of non-bat noises that were excluded (37 to 100%), their measurement of various pulse parameters, and their overall correct classification rate (41% to 85%). Although the top two filters did not differ significantly in overall correct classification rate (85% and 83%), rates differed significantly for some bat species. In our assessment of call libraries, overall correct classification rates were significantly lower (15% to 23% lower) when tested on the second call library instead of the training library. Well-designed filters obviated the need for subjective and time-consuming manual selection of pulses. Accordingly, researchers should carefully design and test filters and include adequate descriptions in publications. Our results also indicate that it may not be possible to extend inferences about model accuracy beyond the training library. If so, the accuracy of acoustic-only surveys may be lower than commonly reported, which could affect ecological understanding or management decisions based on acoustic surveys.

All-Food-Seq (AFS): a quantifiable screen for species in biological samples by deep DNA sequencing

BACKGROUND

DNA-based methods like PCR efficiently identify and quantify the taxon composition of complex biological materials, but are limited to detecting species targeted by the choice of the primer assay. We show here how untargeted deep sequencing of foodstuff total genomic DNA, followed by bioinformatic analysis of sequence reads, facilitates highly accurate identification of species from all kingdoms of life, at the same time enabling quantitative measurement of the main ingredients and detection of unanticipated food components.

RESULTS

Sequence data simulation and real-case Illumina sequencing of DNA from reference sausages composed of mammalian (pig, cow, horse, sheep) and avian (chicken, turkey) species are able to quantify material correctly at the 1% discrimination level via a read counting approach. An additional metagenomic step facilitates identification of traces from animal, plant and microbial DNA including unexpected species, which is prospectively important for the detection of allergens and pathogens.

CONCLUSIONS

Our data suggest that deep sequencing of total genomic DNA from samples of heterogeneous taxon composition promises to be a valuable screening tool for reference species identification and quantification in biosurveillance applications like food testing, potentially alleviating some of the problems in taxon representation and quantification associated with targeted PCR-based approaches.

Nucleotide sequence analysis of beta tubulin gene in a wide range of dermatophytes

We investigated the resolving power of the beta tubulin protein-coding gene (BT2) for systematic study of dermatophyte fungi. Initially, 144 standard and clinical strains belonging to 26 species in the genera Trichophyton, Microsporum, and Epidermophyton were identified by internal transcribe spacer (ITS) sequencing. Subsequently, BT2 was partially amplified in all strains, and sequence analysis performed after construction of a BT2 database that showed length ranged from approximately 723 (T. ajelloi) to 808 nucleotides (M. persicolor) in different species. Intraspecific sequence variation was found in some species, but T. tonsurans, T. equinum, T. concentricum, T. verrucosum, T. rubrum, T. violaceum, T. eriotrephon, E. floccosum, M. canis, M. ferrugineum, and M. audouinii were invariant. The sequences were found to be relatively conserved among different strains of the same species. The species with the closest resemblance were Arthroderma benhamiae and T. concentricum and T. tonsurans and T. equinum with 100% and 99.8% identity, respectively; the most distant species were M. persicolor and M. amazonicum. The dendrogram obtained from BT2 topology was almost compatible with the species concept based on ITS sequencing, and similar clades and species were distinguished in the BT2 tree. Here, beta tubulin was characterized in a wide range of dermatophytes in order to assess intra- and interspecies variation and resolution and was found to be a taxonomically valuable gene.

Complete mitochondrial genome of Anguilla japonica (Anguilliformes, Anguillidae)

The complete mitochondrial genome of Anguilla japonica have been determined in this study. The gene composition, arrangement and transcriptional orientation in A. japonica mitogenome were identical to those of most vertebrates. The complete mitogenome of A. japonica was 16,615 bp in size wih 13 protein-coding genes, 22 tRNA genes, 2 rRNA genes and a control region. Two start codon patterns and three stop codon patterns were found in protein-coding genes. Only the tRNA-Ser2 could not fold into a typical clover-leaf secondary structure for lacking the dihydrouridine arm. Sequences alignment results suggest that the complete mitogenome of A. japonica is an efficient tool to study molecular phylogenetics, biogeography and adaptive evolution of this lineage.

Complete mitochondrial genome of Sinilabeo decorus tungting (Cypriniformes, Cyprinidae)

The complete mitochondrial genome of Sinilabeo decorus tungting was determined in this study. The gene composition, arrangement and transcriptional orientation in S. decorus tungting mitogenome were identical to most vertebrates. Two start codon patterns (ATG and GTG) and three stop codon patterns (TAG, TAA and T) were found in protein-coding genes. Only the tRNA-Ser2 could not fold into a typical clover-leaf secondary structure for lacking the dihydrouridine arm. Sequences alignment results suggest that the complete mitogenome of S. decorus tungting is an efficient tool to check species identification by comparing different gene sequences.

DNA barcoding of Murinae (Rodentia: Muridae) and Arvicolinae (Rodentia: Cricetidae) distributed in China

Identification of rodents is very difficult mainly due to high similarities in morphology and controversial taxonomy. In this study, mitochondrial cytochrome oxidase subunit I (COI) was used as DNA barcode to identify the Murinae and Arvicolinae species distributed in China and to facilitate the systematics studies of Rodentia. In total, 242 sequences (31 species, 11 genera) from Murinae and 130 sequences (23 species, 6 genera) from Arvicolinae were investigated, of which 90 individuals were novel. Genetic distance, threshold method, tree-based method, online BLAST and BLOG were employed to analyse the data sets. There was no obvious barcode gap. The average K2P distance within species and genera was 2.10% and 12.61% in Murinae, and 2.86% and 11.80% in Arvicolinae, respectively. The optimal threshold was 5.62% for Murinae and 3.34% for Arvicolinae. All phylogenetic trees exhibited similar topology and could distinguish 90.32% of surveyed species in Murinae and 82.60% in Arvicolinae with high support values. BLAST analyses yielded similar results with identification success rates of 92.15% and 93.85% for Murinae and Arvicolinae, respectively. BLOG successfully authenticated 100% of detected species except Leopoldamys edwardsi based on the latest taxonomic revision. Our results support the species status of recently recognized Micromys erythrotis, Eothenomys tarquinius and E. hintoni and confirm the important roles of comprehensive taxonomy and accurate morphological identification in DNA barcoding studies. We believe that, when proper analytic methods are applied or combined, DNA barcoding could serve as an accurate and effective species identification approach for Murinae and Arvicolinae based on a proper taxonomic framework.

DNA barcoding in amoebozoa and challenges: the example of Cochliopodium

The diversity of microbial eukaryotes in general and amoeboid lineages in particular is poorly documented. Even though amoeboid lineages are among the most abundant microbes, taxonomic progress in the group has been hindered by the limitations of traditional taxonomy and technical difficultly in studying them. Studies using molecular approaches such as DNA barcoding with cytochrome oxidase I (COI) gene are slowly trickling in for Amoebozoa, and they hopefully will aid in unveiling the true diversity of the group. In this study a retrospective approach is used to test the utility of COI gene in a scale-bearing amoeba, Cochliopodium, which is morphologically well defined. A total of 126 COI sequences and 62 unique haplotypes were generated from 9 Cochliopodium species. Extensive analyses exploring effects of sequence evolution models and length of sequence on genetic diversity computations were conducted. The findings show that COI is a promising marker for Cochliopodium, except in one case where it failed to delineate two morphologically well-defined cochliopodiums. Two species delimitation approaches also recognize 8 genetic lineages out of 9 species examined. The taxonomic implications of these findings and factors that may confound COI as a barcode marker in Cochliopodium and other amoebae are discussed.

The complete mitochondrial genome sequence of Takifugu flavidus (Tetraodontiformes: Tetrodontidae)

The complete mitochondrial genome of Takifugu flavidus (Tetraodontiformes: Tetrodontidae) was obtained in this study. The mitogenome is 16,449 bp in size and contains 13 protein-coding genes, 2 rRNA genes, 22 tRNA genes, and 2 non-coding regions: origin of light-strand replication (OL) and control region (D-loop). The overall nucleotide composition of the heavy strand was 29.88% A, 25.81% T, 15.28% G and 29.03% C, with a slight AT bias of 55.69%. Except for ND6 gene and eight tRNA genes, other genes are encoded on the heavy strand. The mitochondrial genome data of T. flavidus should contribute to phylogenetic analysis and studies on genetic structure, as well as molecular phylogeny and species identification of Tetrodontidae.

Supervised DNA Barcodes species classification: analysis, comparisons and results

BACKGROUND

Specific fragments, coming from short portions of DNA (e.g., mitochondrial, nuclear, and plastid sequences), have been defined as DNA Barcode and can be used as markers for organisms of the main life kingdoms. Species classification with DNA Barcode sequences has been proven effective on different organisms. Indeed, specific gene regions have been identified as Barcode: COI in animals, rbcL and matK in plants, and ITS in fungi. The classification problem assigns an unknown specimen to a known species by analyzing its Barcode. This task has to be supported with reliable methods and algorithms.

METHODS

In this work the efficacy of supervised machine learning methods to classify species with DNA Barcode sequences is shown. The Weka software suite, which includes a collection of supervised classification methods, is adopted to address the task of DNA Barcode analysis. Classifier families are tested on synthetic and empirical datasets belonging to the animal, fungus, and plant kingdoms. In particular, the function-based method Support Vector Machines (SVM), the rule-based RIPPER, the decision tree C4.5, and the Naïve Bayes method are considered. Additionally, the classification results are compared with respect to ad-hoc and well-established DNA Barcode classification methods.

RESULTS

A software that converts the DNA Barcode FASTA sequences to the Weka format is released, to adapt different input formats and to allow the execution of the classification procedure. The analysis of results on synthetic and real datasets shows that SVM and Naïve Bayes outperform on average the other considered classifiers, although they do not provide a human interpretable classification model. Rule-based methods have slightly inferior classification performances, but deliver the species specific positions and nucleotide assignments. On synthetic data the supervised machine learning methods obtain superior classification performances with respect to the traditional DNA Barcode classification methods. On empirical data their classification performances are at a comparable level to the other methods.

CONCLUSIONS

The classification analysis shows that supervised machine learning methods are promising candidates for handling with success the DNA Barcoding species classification problem, obtaining excellent performances. To conclude, a powerful tool to perform species identification is now available to the DNA Barcoding community.

Highly effective sequencing whole chloroplast genomes of angiosperms by nine novel universal primer pairs

Chloroplast genomes supply indispensable information that helps improve the phylogenetic resolution and even as organelle-scale barcodes. Next-generation sequencing technologies have helped promote sequencing of complete chloroplast genomes, but compared with the number of angiosperms, relatively few chloroplast genomes have been sequenced. There are two major reasons for the paucity of completely sequenced chloroplast genomes: (i) massive amounts of fresh leaves are needed for chloroplast sequencing and (ii) there are considerable gaps in the sequenced chloroplast genomes of many plants because of the difficulty of isolating high-quality chloroplast DNA, preventing complete chloroplast genomes from being assembled. To overcome these obstacles, all known angiosperm chloroplast genomes available to date were analysed, and then we designed nine universal primer pairs corresponding to the highly conserved regions. Using these primers, angiosperm whole chloroplast genomes can be amplified using long-range PCR and sequenced using next-generation sequencing methods. The primers showed high universality, which was tested using 24 species representing major clades of angiosperms. To validate the functionality of the primers, eight species representing major groups of angiosperms, that is, early-diverging angiosperms, magnoliids, monocots, Saxifragales, fabids, malvids and asterids, were sequenced and assembled their complete chloroplast genomes. In our trials, only 100 mg of fresh leaves was used. The results show that the universal primer set provided an easy, effective and feasible approach for sequencing whole chloroplast genomes in angiosperms. The designed universal primer pairs provide a possibility to accelerate genome-scale data acquisition and will therefore magnify the phylogenetic resolution and species identification in angiosperms.

A reliable DNA barcode reference library for the identification of the North European shelf fish fauna

Valid fish species identification is an essential step both for fundamental science and fisheries management. The traditional identification is mainly based on external morphological diagnostic characters, leading to inconsistent results in many cases. Here, we provide a sequence reference library based on mitochondrial cytochrome c oxidase subunit I (COI) for a valid identification of 93 North Atlantic fish species originating from the North Sea and adjacent waters, including many commercially exploited species. Neighbour-joining analysis based on K2P genetic distances formed nonoverlapping clusters for all species with a ≥99% bootstrap support each. Identification was successful for 100% of the species as the minimum genetic distance to the nearest neighbour always exceeded the maximum intraspecific distance. A barcoding gap was apparent for the whole data set. Within-species distances ranged from 0 to 2.35%, while interspecific distances varied between 3.15 and 28.09%. Distances between congeners were on average 51-fold higher than those within species. The validation of the sequence library by applying BOLDs barcode index number (BIN) analysis tool and a ranking system demonstrated high taxonomic reliability of the DNA barcodes for 85% of the investigated fish species. Thus, the sequence library presented here can be confidently used as a benchmark for identification of at least two-thirds of the typical fish species recorded for the North Sea.

The complete mitochondrial genome of the scuttle fly, Megaselia scalaris (Diptera: Phoridae)

More than 1400 scuttle flies species in worldwide comprise the Megaselia genus, the largest genus in the family Phoridae. The complete mitochondrial genome of Megaselia scalaris, a medically important entomology was sequenced for the first time. The 15,599 bp circular genome contains the 37 genes found in a typical Metazoan genome: 13 protein-coding genes, 22 transfer RNA genes and 2 ribosomal RNA genes. The mitochondrial genome also contains one non-coding A + T-rich region. The arrangement of the genes was identical with other insect. Each of the base composition on heavy strand was as follows A: 38.87%, G: 13.74%, C: 9.46%, T: 37.93% and the A + T content 76.80%. The mitochondrial genome of M. scalaris presented may be valuable for determining phylogenetic relationships within the order Diptera and especially for the family Phoridae. These sequences could also be used to select reliable molecular markers for species identification in forensic entomology.

Identification of mammalian species using the short and highly variable regions of mitochondrial DNA

The mitochondrial DNA (mtDNA) typing is useful for the species determination of degraded samples and the nucleotide diversity of target fragments across species is crucial for the discrimination. In this study, the short and highly polymorphic regions flanked by two conserved termini were sought by the sequence alignment of mtDNA across species and two target regions located at 12S rRNA gene were characterized. Two universal primer sets were developed that appear to be effective for a wide variety of mammalian species, even for domestic birds. The two target regions could be efficiently amplified using their universal primer sets on degraded samples and provide sufficient information for species determination. Therefore, the two short and highly variable target regions might provide a high discriminative capacity and should be suitable for the species determination of degraded samples.

Efficacy of the core DNA barcodes in identifying processed and poorly conserved plant materials commonly used in South African traditional medicine

Medicinal plants cover a broad range of taxa, which may be phylogenetically less related but morphologically very similar. Such morphological similarity between species may lead to misidentification and inappropriate use. Also the substitution of a medicinal plant by a cheaper alternative (e.g. other non-medicinal plant species), either due to misidentification, or deliberately to cheat consumers, is an issue of growing concern. In this study, we used DNA barcoding to identify commonly used medicinal plants in South Africa. Using the core plant barcodes, matK and rbcLa, obtained from processed and poorly conserved materials sold at the muthi traditional medicine market, we tested efficacy of the barcodes in species discrimination. Based on genetic divergence, PCR amplification efficiency and BLAST algorithm, we revealed varied discriminatory potentials for the DNA barcodes. In general, the barcodes exhibited high discriminatory power, indicating their effectiveness in verifying the identity of the most common plant species traded in South African medicinal markets. BLAST algorithm successfully matched 61% of the queries against a reference database, suggesting that most of the information supplied by sellers at traditional medicinal markets in South Africa is correct. Our findings reinforce the utility of DNA barcoding technique in limiting false identification that can harm public health.

Metabarcoding avian diets at airports: implications for birdstrike hazard management planning

BACKGROUND

Wildlife collisions with aircraft cost the airline industry billions of dollars per annum and represent a public safety risk. Clearly, adapting aerodrome habitats to become less attractive to hazardous wildlife will reduce the incidence of collisions. Formulating effective habitat management strategies relies on accurate species identification of high-risk species. This can be successfully achieved for all strikes either through morphology and/or DNA-based identifications. Beyond species identification, dietary analysis of birdstrike gut contents can provide valuable intelligence for airport hazard management practices in regards to what food is attracting which species to aerodromes. Here, we present birdstrike identification and dietary data from Perth Airport, Western Australia, an aerodrome that saw approximately 140,000 aircraft movements in 2012. Next-generation high throughput DNA sequencing was employed to investigate 77 carcasses from 16 bird species collected over a 12-month period. Five DNA markers, which broadly characterize vertebrates, invertebrates and plants, were used to target three animal mitochondrial genes (12S rRNA, 16S rRNA, and COI) and a plastid gene (trnL) from DNA extracted from birdstrike carcass gastrointestinal tracts.

RESULTS

Over 151,000 DNA sequences were generated, filtered and analyzed by a fusion-tag amplicon sequencing approach. Across the 77 carcasses, the most commonly identified vertebrate was Mus musculus (house mouse). Acrididae (grasshoppers) was the most common invertebrate family identified, and Poaceae (grasses) the most commonly identified plant family. The DNA-based dietary data has the potential to provide some key insights into feeding ecologies within and around the aerodrome.

CONCLUSIONS

The data generated here, together with the methodological approach, will greatly assist in the development of hazard management plans and, in combination with existing observational studies, provide an improved way to monitor the effectiveness of mitigation strategies (for example, netting of water, grass type, insecticides and so on) at aerodromes. It is hoped that with the insights provided by dietary data, airports will be able to allocate financial resources to the areas that will achieve the best outcomes for birdstrike reduction.

A simple SDS-PAGE protein pattern from pitcher secretions as a new tool to distinguish Nepenthes species (Nepenthaceae)

PREMISE OF THE STUDY

Carnivorous plants have always fascinated scientists because these plants are able to attract, capture, and digest animal prey using their remarkable traps that contain digestive secretions. Nepenthes is one of the largest genera of carnivorous plants, with 120 species described thus far. Despite an outstanding diversity of trap designs, many species are often confused with each other and remain difficult to classify because they resemble pitchers or of the occurrence of interspecific hybrids.

METHODS

Here, we propose a new method to easily distinguish Nepenthes species based on a SDS PAGE protein pattern analysis of their pitcher secretions. Intraspecific comparisons were performed among specimens growing in different environmental conditions to ascertain the robustness of this method.

KEY RESULTS

Our results show that, at the juvenile stage and in the absence of prey in the pitcher, an examined species is characterized by a specific and stable profile, whatever the environmental conditions.

CONCLUSIONS

The method we describe here can be used as a reliable tool to easily distinguish between Nepenthes species and to help with potential identification based on the species-specific protein pattern of their pitcher secretions, which is complementary to the monograph information.