Taxonomic Methods Research Articles

Taxonomic novelty emerges more frequently and independently of functional novelty in historical coral communities

Earth's ecological assemblages are rapidly being driven towards unprecedented, novel states. We know little about ecological novelty in our oceans, limiting our ability to detect, contextualise, and manage substantive anthropogenic change. This is especially true for novel states with altered functional compositions. Here, we provide a quantitative assessment of taxonomic and functional ecological novelty in historical coral communities across the east Australian coast, capturing changes in the composition of coral taxa and their traits over the past 1500 years. Taxonomically novel communities emerged more frequently and often unaccompanied by substantial trait compositional change while functional novelty was commonly observed alongside significant genus turnover. Novel coral communities themselves were rare, context‐dependent, and often associated with transitions in dominant genera. Our preliminary trait‐based community classifications complement classical taxonomic methods to uncover a history of ecological change in east Australian coral communities, helping provide important context for their present states and inform future responses under ongoing and intensifying human‐driven change.

Multi-Criteria Optimization of the Paper Production Process Using Numerical Taxonomy Methods: A Necessary Condition for Predicting Heat and Electricity Output in a Combined Heat and Power (CHP) System

The subject of this study is the optimization of the paper production process in one of Poland’s leading paper mills. In addition to its primary objective of paper production, the company generates heat and electricity for internal consumption and external clients, including the local municipality. Surplus energy may be sold on the power exchange; however, this requires forecasting the quantity of energy to be sold 24 h in advance, which introduces an element of uncertainty. Production stoppages, often caused by random events such as paper breakage, force a power decrease in the CHP system, further complicating energy forecasting. To minimize the occurrence of such events, numerical taxonomy methods were employed to determine the optimal screen speed (Vs) and winding speed (Vn) for two paper machines, based on the type and weight of the paper produced. This analysis utilized detailed daily data collected by the company over the period 2015–2020. The findings contribute to minimizing the occurrence of paper roll tearing, thereby reducing the risk of inaccurate forecasts of the energy and heat produced by the CHP system. Furthermore, the methodology employed in this study may be effectively applied to other optimization problems in industrial processes.

SUBDIALECTAL DISCOURSE AND PECULIARITIES OF ITS MENTAL CONTINUUM IN THE LENS OF THE MODERN LINGUISTIC PARADIGM

The article is devoted to the study of specific features of subdialectal discourse and its mental continuum, viewed through the prism of modern linguistic theories. The purpose of the research is to study and describe the functioning and structure features, as well as the specifics of the linguarium of subdialectal discourse. The object of the study is the subdialectal discourse, which covers speech practices recorded in the village of Pishchanyi Brid, Novoukrainskyi district, Kirovohrad region. The subject of the study is the mental continuum of the subdialect speakers, which includes knowledge, perceptions and assessments related to various aspects of their lives. The source of the study was the speech recordings of the native speakers, i.e. the textual corpus of the subdialect. The methods used in the study were modelling, hypothetical method, deductive and inductive methods, descriptive method, observation method, taxonomic method, and continuous sampling method. The peculiarity of the study of subdialectal speech in discourse studies lies in the analysis of the composition of usages, the specifics of the composition of the linguarium and its influence on the structure of discourse, expression of thoughts, interaction of speakers and the formation of the ethnographic identity of peasants who speak the subdialect. The discourse approach allows us to better understand the speech process in a specific socio-cultural and geographical setting, as well as the interaction of speakers within the dialect environment. It involves analysing the discourse of the language group in question, identifying specific lexical, grammatical and phonetic features that are characteristic of certain socio-cultural groups. The metalinguistic interpretation of discourse types in the linguistic paradigm presents dialectal discourse as a reflection of real language use, a set of idiolects and an indicator of changes in the language. The household, ceremonial, religious and existential knowledge contained in the dialect discourse is critical to the well-being and cultural integrity of rural communities. In particular, household knowledge encompasses practical skills in housekeeping, agriculture and crafts. Ceremonial and religious knowledge includes traditions, rituals and beliefs that support the spiritual life and cultural identity of the community, and existential knowledge is related to the understanding of life, death and moral values, helping community members navigate difficult life situations. Prospects for the study include a meta-analysis of dialectal discourse, which can be expressed in different ways in individual subdialects, the development of new methods for studying dialectal language in the digital environment, and the integration of interdisciplinary approaches for a deeper understanding of speech practices and cultural characteristics of speakers.

Green Economy from a Regional Perspective – a Polish Case Study

The article presents the elaboration and specification of the green economy concept, where resource scarcity, global climate change and environmental degradation are paving a new path towards sustainable development. The article addresses the issue of implementing the principles of green economy at the regional level. The implementation of a green economy at a regional level provides an excellent space for scientific deliberations. The aim of the research is to identify and assess the level of regional disparities in green economy development across Polish regions using a synthetic measure. The basis for the analysis was a set of substantively and statistically analyzed diagnostic variables from the years 2012-2022. The synthetic indicator of the green economy was calculated for every Polish region (NUTS 2) and the regions were ranked based on their score from highest to lowest. As a result of the analysis, the regional polarization and the ordering of regions in Poland in terms of the synthetic metric - green economy development - were discussed. Keywords: green economy, green growth, sustainable development, taxonomic methods.

On the genetic diversity and protoconch variability of snails of the genus Caspiohydrobia Starobogatov, 1970 (Caenogastropoda: Hydrobiidae)

The genus Caspiohydrobia belongs to the less-known taxa of the family Hydrobiidae. According to a conchologically-based system, developed in the 1970-1980s by Yaroslav I. Starobogatov and his co-authors, the genus includes around 30 living species. However, the most recent data based on molecular evidence indicate that most (if not all) of these morpho-species should be considered junior synonyms of a widely distributed species, Ecrobia grimmi. However, the vast majority of nominal species described in the genus Caspiohydrobia have never been reassessed by molecular taxonomic methods. In this work, the genetic diversity of Caspiohydrobia spp. was studied based on a large sample taken in Lake Elanach in the Kurgan region (Trans-Urals, Russia). Conchological analysis made it possible to identify 7 nominal species of the genus Caspiohydrobia in the sample, whereas genetically all the studied individuals were the same, sharing a single COI haplotype. A phylogenetic tree of Ecrobia spp. has shown that all studied genetically specimens of Caspiohydrobia (including newly sequenced ones) forms a separate cluster on a cladogram, which can be identified as Ecrobia grimmi s. lato. However, a higher genetic diversity was revealed in a population of Caspiohydrobia spp., from a lake adjacent to the Caspian Sea (West Kazakhstan). Distinct morphotypes in the structure of the protoconch were found in samples of Caspiohydrobia spp. from the Caspian and Aral Seas. Although the characteristics of the protoconch (size, sculpture) do not give grounds to distinguish ‘good’ species within the group, the genetic and morphological diversity described in this work makes it possible to assume the ongoing microevolutionary processes within the discussed group and, possibly, the existence of young (incipient) species in Central Asia. Based on the study of the morphology of the protoconch, it has been suggested that the development of molluscs of the genus Caspiohydrobia (= Ecrobia, partim) can include the free-swimming larval stage; this hypothesis is, however, not supported by other evidence and needs to be carefully verified.

The impact of trait number and correlation on functional diversity metrics in real-world ecosystems.

The use of trait-based approaches to understand ecological communities has increased in the past two decades because of their promise to preserve more information about community structure than taxonomic methods and their potential to connect community responses to subsequent effects of ecosystem functioning. Though trait-based approaches are a powerful tool for describing ecological communities, many important properties of commonly-used trait metrics remain unexamined. Previous work with simulated communities and trait distributions shows sensitivity of functional diversity measures to the number and correlation of traits used to calculate them, but these relationships have yet to be studied in actual plant communities with a realistic distribution of trait values, ecologically meaningful covariation of traits, and a realistic number of traits available for analysis. To address this gap, we used data from six grassland plant communities in Minnesota and New Mexico, USA to test how the number of traits and the correlation between traits used in the calculation of eight functional diversity indices impact the magnitude of functional diversity metrics in real plant communities. We found that most metrics were sensitive to the number of traits used to calculate them, but functional dispersion (FDis), kernel density estimation dispersion (KDE dispersion), and Rao's quadratic entropy (Rao's Q) maintained consistent rankings of communities across the range of trait numbers. Despite sensitivity of metrics to trait correlation, there was no consistent pattern between communities as to how metrics were affected by the correlation of traits used to calculate them. We recommend that future use of evenness metrics include sensitivity analyses to ensure results are robust to the number of traits used to calculate them. In addition, we recommend use of FDis, KDE dispersion, and Rao's Q when ecologically applicable due to their ability to produce consistent rankings among communities across a range of the numbers of traits used to calculate them.

Microanatomy sectioning and phytochemicals overview in selected Oleaceae species

This study provides in-depth observations into the microanatomical structure of leaves and stem of eight selected Oleaceae species revealing comprehensive tissue organization using microtome sectioning and peeling leaf epidermis techniques. The phytochemicals profile overview of selected olive species extracted from leaf and stem of Oleaceae species contributes to identifying bioactive compounds with potential therapeutic and medicinal applications. An overview of histochemistry of bioactive metabolites revealed in Oleacee species shows the presence of phenolic compounds (oleuropein and hydroxytyrosol), localized in the leaves and stems, contributing to their antioxidant properties. The present study represent foliar anatomical traits; epidermal cells (ECs) polygonal shape and straight anticlinal walls, paracytic stomata and simple unicellular trichomes. The maximum ECs length (30 μm) was noted in Olea europaea and minimum (20 μm) in Jasminum fluminense was measured. Oleaceae species microtome stem sectioning examined revealed cortex type (parenchyma and collenchyma), vascular bundles (VBs) arrangements (radial, scattered and bundled), xylem vessels (scalariform, annular, spiral and reticulate), phloem fiber arrangements (banded and scattered), and uniseriate, biseriat and multiseriate medullary rays. Stem transverse section with maximum length (1300 μm) was observed in Olea europaea and the lowest (1100 μm) in Jasminum grandiflorum L. subsp. floribundum. This taxonomic histological method links the relationship between anatomy and chemistry, lead to identification of bioactive chemical compounds diversity among Oleaceae species. This anatomical methods used to enhance and consider the plant micromorphological structure-function relationships adapted to diverse environmental conditions.

Whole genome–based comparative analysis of the genus Streptomyces reveals many misclassifications

Streptomyces species are experts in the production of bioactive secondary metabolites; however, their taxonomy has fallen victim of the tremendous interest shown by the scientific community, evident in the discovery of numerous synonymous in public repositories. Based on genomic data from NCBI Datasets and nomenclature from the LPSN database, we compiled a dataset of 600 Streptomyces species along with their annotations and metadata. To pinpoint the most suitable taxonomic classification method, we conducted a comprehensive assessment comparing multiple methodologies, including analysis of 16S rRNA, individual housekeeping genes, multilocus sequence analysis (MLSA), and Fast Average Nucleotide Identity (FastANI) on a subset of 409 species with complete data. Due to insufficient resolution of 16S rRNA and inconsistency observed in individual housekeeping genes, we performed a more in-depth analysis, comparing only FastANI and MLSA, which expanded our dataset to include 502 species. With FastANI validated as the preferred method, we conducted pairwise analysis on the entire dataset identifying 59 non-unique species among the 600, and subsequently refined the dataset to 541 unique species. Additionally, we collected data on 724 uncharacterized Streptomyces strains to investigate the uniqueness potential of the unannotated fraction of the Streptomyces genus. Utilizing FastANI, 289 strains could be successfully classified into one of the 541 Streptomyces species.Key points• Evaluation of taxonomic classification methods for Streptomyces species.• Whole genome analysis, specifically FastANI, has been chosen as preferred method.• Various reclassifications are proposed within the Streptomyces genus.Graphical abstract

Current Tasks in Identifying Invalid Events in Critical Information Infrastructure

The purpose of the study is to develop an approach for identifying and processing invalid events in critical information infrastructure (CII) based on the concepts of taxonomy and categorization. The approach aims to improve the efficiency of identifying, classifying, and managing information security (IS) incidents. The article addresses the current tasks of ensuring the required level of CII protection and minimizing the negative consequences of information security incidents resulting from invalid events. The identification of these events is associated with the complexity of detecting such events, the need to process large volumes of data, insufficient speed in detecting IS events, as well as technological limitations.The relevance of identifying and classifying invalid events in information security, especially for CII, is driven by the need for timely detection and response to incidents that could lead to negative consequences. Understanding the nature and characteristics of such events allows for effective system protection and prevention of significant damage. To enhance the effectiveness of ensuring security, it is necessary to identify the class of invalid events among the numerous information security events by considering the characteristics that define invalid events.The novelty of the proposed approach lies in solving the task of identifying the class of invalid information security events based on taxonomy methods, involving the use of event categorization tools with the attributes of invalid events.Materials and methods. The approach to identifying invalid events in CII, based on the principles of information security event taxonomy, was used to solve the task. It was shown that identifying invalid information security events is directly related to solving the problem of searching for and analyzing their attributes, which represent the characteristics or parameters used to describe and classify security incidents. Based on the key principles of taxonomy, a model of the structure of the set of invalid events was developed to determine the characteristics that can be the basis for classifying invalid events. The process of identifying invalid information security events includes a sequence of stages: taxonomy, categorization, and classification, with appropriate methods and tools implemented at each stage.Results. Approaches to identifying invalid events in CII have been analyzed. Problems related to large data volumes, the complexity of event processing, the considerable time required for their detection, and technological limitations were considered. It was shown that the concept of taxonomy and categorization allows for effective identification and classification of information security incidents, ensuring efficient processing and response. The feasibility of applying taxonomy for describing and identifying the attributes of invalid events was justified, contributing to the development of effective protection strategies and improving security levels. A generalized scheme for processing invalid events was proposed, including a set of interconnected stages of identification, categorization, impact assessment, response, documentation, and analysis. An algorithm for structured description and classification of incidents was developed, allowing for more accurate and timely responses to information security threats.Conclusion. The results obtained increase the effectiveness of solving the task of classifying information security incidents by identifying invalid events, which reduces the level of negative consequences of incidents and enhances the security of CII objects.

Memory-bound k-mer selection for large and evolutionarily diverse reference libraries.

Using k-mers to find sequence matches is increasingly used in many bioinformatic applications, including metagenomic sequence classification. The accuracy of these downstream applications relies on the density of the reference databases, which are rapidly growing. Although the increased density provides hope for improvements in accuracy, scalability is a concern. Reference k-mers are kept in the memory during the query time, and saving all k-mers of these ever-expanding databases is fast becoming impractical. Several strategies for subsampling have been proposed, including minimizers and finding taxon-specific k-mers. However, we contend that these strategies are inadequate, especially when reference sets are taxonomically imbalanced, as are most microbial libraries. In this paper, we explore approaches for selecting a fixed-size subset of k-mers present in an ultra-large data set to include in a library such that the classification of reads suffers the least. Our experiments demonstrate the limitations of existing approaches, especially for novel and poorly sampled groups. We propose a library construction algorithm called k-mer RANKer (KRANK) that combines several components, including a hierarchical selection strategy with adaptive size restrictions and an equitable coverage strategy. We implement KRANK in highly optimized code and combine it with the locality-sensitive hashing classifier CONSULT-II to build a taxonomic classification and profiling method. On several benchmarks, KRANK k-mer selection significantly reduces memory consumption with minimal loss in classification accuracy. We show in extensive analyses based on CAMI benchmarks that KRANK outperforms k-mer-based alternatives in terms of taxonomic profiling and comes close to the best marker-based methods in terms of accuracy.

A review on video person re-identification based on deep learning

Person Re-Identification (ReID) is an essential technology for matching a person across non-overlapping cameras. It has attracted increasing attention in recent years due to its wide range of applications in various real-world scenarios such as security surveillance and criminal investigation. Different from other person ReID tasks, video-based ReID uses a video clip as the retrieval input, which can provide more promising ReID performance because that the video has rich information on appearance, motion cues and pose variations on temporal pipeline. Over the last few years, many deep learning-based video person ReID have been proposed to address various challenges, such as illumination variation, complex background, occlusion, etc. To provide a more comprehensive and readable review on existing video-based person ReID methods, we propose a novel taxonomy method that observes existing methods from four perspectives: data, algorithms, computing power, and applications. Specifically, we first introduce some popular datasets and evaluation criterion used for video-based person ReID. Next, from limited data and little annotation view, we introduce data augmentation and unsupervised learning ReID. From algorithm view, we focus on reviewing supervised methods including spatial feature learning, temporal feature learning and spatio-temporal feature learning, and further discuss and conduct a systematic comparison among these approaches. From complex open-world application view, we mainly summarized domain adaption and multimodal ReID. From insufficient GPU computing power view, we mainly discuss modality-agnostic unified large-scale ReID and their lightweighting. Finally, we provide a discussion of open problems and potential research directions for the community.

Intergrative Taxonomic Study of the Frullania parvistipula Complex with a Modern Circumscription of the Section Trachycolea (Frullaniaceae, Marchantiphyta).

Frullania (subg. Trachycolea) sect. Trachycolea has been studied using integrative taxonomy methods and utilizing sampling from almost all areas of distribution of the species previously referred to this section. A phylogenetic analysis based on nuclear ribosomal ITS1-2 and chloroplast trnL-F sequence data and a morphological study reveal a wide range of morphological variability within specimens that has largely disguised the overall taxonomic diversity. Frullania parvistipula, previously regarded as a widespread species, has been found to represent a group of separate species within different sections of F. subg. Trachycolea: F. caucasica and F. conistipula in F. sect. Trachycolea, F. parvistipula in F. sect. Australes, and F. fukuzawana in F. sect. Integristipulae II. Illustrations of the type specimens of F. conistipula, F. fukuzawana, and F. parvistipula, as well as illustrations of the sequenced specimens belonging to two of the discussed species (F. conistipula and F. parvistipula), are provided. The morphological differences separating the highly similar F. caucasica, F. conistipula, F. fukuzawana, F. koponenii, and F. parvistipula are discussed. A dichotomous key is presented for accepted species. New combinations are provided for two taxa.

Phylogenetic systematics and integrative taxonomy contribute to weed biological control

Taxonomy and systematics are at the base of any biological research, providing the scientific names and evolutionary context to access the biological information needed. The biological control of weeds (BCW), like many other fields, often suffers from the “taxonomic impediment” generated by incomplete taxonomic knowledge or lack of available taxonomic experts on the particular taxa involved (i.e., weed plants and their potential biocontrol agents). Further, most groups with described species require revision by specialists using modern taxonomic methods. Systematists in the different taxonomic groups have the knowledge and experience to perform the accurate identification of the species involved in the study, to recognize if they are non-native species, or if they are new to science. Their expertise is crucial for identifying the organisms involved in BCW, including hybrids or cryptic species. The practice of phylogenetic systematics allows the discovery of evolutionary relationships and natural taxa that are valuable in making host range predictions. This contribution emphasizes the crucial role played by phylogenetic systematics and integrative taxonomy in weed biological control.

Complete pipeline for Oxford Nanopore Technology amplicon sequencing (ONT-AmpSeq): from pre-processing to creating an operational taxonomic unit table.

Amplicon sequencing has long served as a robust method for characterising microbial communities, and despite inherent resolution limitations, it remains a preferred technique, offering cost- and time-effective insights into bacterial compositions. Here, we introduce ONT-AmpSeq, a user-friendly pipeline designed for processing amplicon sequencing data generated from Oxford Nanopore Technology (ONT) devices. Our pipeline enables efficient creation of taxonomically annotated operational taxonomic unit (OTU) tables from ONT sequencing data, with the flexibility to multiplex amplicons on the same barcode. The pipeline encompasses six main steps-statistics, quality filtering, alignment, clustering, polishing, and taxonomic classification-integrating various state-of-the-art software tools. We provide a detailed description of each step, along with performance tests and robustness evaluations using both test data and a ZymoBIOMICS® Microbial Community Standard mock community dataset. Our results demonstrate the ability of ONT-AmpSeq to effectively process ONT amplicon data, offering valuable insights into microbial community composition. Additionally, we discuss the influence of polishing tools on taxonomic insight and the impact of taxonomic annotation methods on the derived microbial composition. Overall, ONT-AmpSeq represents a comprehensive solution for analysing ONT amplicon sequencing data, facilitating streamlined and reliable microbial community analysis. The pipeline, along with test data, is freely available for public use.

Integrating Genetic and Cytogenetic Data: A Diversity Study of Astyanax and Psalidodon (Characidae) Species from the Paraná River Basin.

Astyanax is one of the most specious fish groups in the Neotropical region, with many cryptic species, which represents a challenge for correct identification through traditional taxonomic methods. Psalidodon is a recently resurrected genus group of species previously belonging to Astyanax, specifically those with extensive chromosomal variation of the A. scabripinnis and fasciatus complexes. In the present study, the mitochondrial genes cytochrome c oxidase subunit 1 (COI), mitochondrial ATP synthase 6 and 8 (ATPase 6/8), and NADH dehydrogenase subunit 2 (ND2) were used in conjunction with chromosomal data to characterize molecularly and cytogenetically populations of Astyanax and Psalidodon from rivers and streams of the Ivaí River Basin (Paraná Basin). The results demonstrated the effectiveness of the integrative use of molecular and cytogenetic techniques, with the confirmation of at least three species for the sampled sites: A. lacustris, P. paranae, and P. fasciatus, which showed inter- and intrapopulation karyotype variations. In addition, extensive haplotypic variation can be observed for these species within the Ivaí River Basin and throughout the Paraná River Basin. The data demonstrate a hidden diversity among the species analyzed, enrich the ichthyofaunistic knowledge of small rivers and streams, and contribute to future conservation projects in these areas.

Identification and characterization of a new species of Taxus — Taxus qinlingensis by multiple taxonomic methods

BackgroundThe taxonomy of Taxus Linn. remains controversial due to its continuous phenotypic variation and unstable topology, thus adversely affecting the formulation of scientific conservation strategies for this genus. Recently, a new ecotype, known as Qinling type, is mainly distributed in the Qinling Mountains and belongs to a monophyletic group. Here, we employed multiple methods including leaf phenotype comparison (leaf shapes and microstructure), DNA barcoding identification (ITS + trnL-trnF + rbcL), and niche analysis to ascertain the taxonomic status of the Qinling type.ResultsMultiple comparisons revealed significant differences in the morphological characters (length, width, and length/width ratio) among the Qinling type and other Taxus species. Leaf anatomical analysis indicated that only the Qinling type and T. cuspidata had no papilla under the midvein or tannins in the epicuticle. Phylogenetic analysis of Taxus indicated that the Qinling type belonged to a monophyletic group. Moreover, the Qinling type had formed a relatively independent niche, it was mainly distributed around the Qinling Mountains, Ta-pa Mountains, and Taihang Mountains, situated at an elevation below 1500 m.ConclusionsFour characters, namely leaf curvature, margin taper, papillation on midvein, and edges were put forward as primary indexes for distinguishing Taxus species. The ecotype Qingling type represented an independent evolutionary lineage and formed a unique ecological niche. Therefore, we suggested that the Qingling type should be treated as a novel species and named it Taxus qinlingensis Y. F. Wen & X. T. Wu, sp. nov.

Memory-bound k -mer selection for large and evolutionary diverse reference libraries.

Using k -mers to find sequence matches is increasingly used in many bioinformatic applications, including metagenomic sequence classification. The accuracy of these down-stream applications relies on the density of the reference databases, which, luckily, are rapidly growing. While the increased density provides hope for dramatic improvements in accuracy, scalability is a concern. Reference k -mers are kept in the memory during the query time, and saving all k -mers of these ever-expanding databases is fast becoming impractical. Several strategies for subsampling have been proposed, including minimizers and finding taxon-specific k -mers. However, we contend that these strategies are inadequate, especially when reference sets are taxonomically imbalanced, as are most microbial libraries. In this paper, we explore approaches for selecting a fixed-size subset of k -mers present in an ultra-large dataset to include in a library such that the classification of reads suffers the least. Our experiments demonstrate the limitations of existing approaches, especially for novel and poorly sampled groups. We propose a library construction algorithm called KRANK (K-mer RANKer) that combines several components, including a hierarchical selection strategy with adaptive size restrictions and an equitable coverage strategy. We implement KRANK in highly optimized code and combine it with the locality-sensitive-hashing classifier CONSULT-II to build a taxonomic classification and profiling method. On several benchmarks, KRANK k -mer selection dramatically reduces memory consumption with minimal loss in classification accuracy. We show in extensive analyses based on CAMI benchmarks that KRANK outperforms k -mer-based alternatives in terms of taxonomic profiling and comes close to the best marker-based methods in terms of accuracy.

Combining traceological analysis and ZooMS on Early Neolithic bone artefacts from the cave of Coro Trasito, NE Iberian Peninsula: Cervidae used equally to Caprinae.

Few studies have combined the analysis of use-wear traces, traceology, and the proteomic taxonomic identification method Zooarchaeology by Mass Spectrometry (ZooMS). Traceology provides information on the usage, in this case, of bone artefacts, while ZooMS allows for taxonomic identifications where diagnostic features are otherwise gone. The approaches therefore offer complementary information on bone artefacts, allowing for insights into species selection strategies in bone tool manufacture and their subsequent use. Here we present a case study of 20 bone artefacts, mainly bone points, from the Early Neolithic cave site of Coro Trasito located on the southern slope of the Central Pyrenees. Hitherto, studies on Early Neolithic bone artefacts from the Iberian Peninsula have suggested based on morphological assessments that Ovis aries/Capra hircus constituted the majority of the bone material selected for bone tool production. However, the taxonomic identification in this study suggests that, at this site, Cervidae was selected equally to that of O. aries/C. hircus. Furthermore, bone artefacts made from Cervidae specimens seem to be utilised in a wider range of artefact types compared to O. aries/C. hircus. Coro Trasito's bone artefact species composition is probably site-specific to some degree, however, morphological assessments of bone artefacts might not be representative and could be biased towards certain species. Therefore, research on bone artefacts' usage could possibly gain new insights by implementing ZooMS in combination with traceology.

Evaluation and management of cardiovascular disease and metabolic syndrome in pediatric-adolescent patients with psoriasis

Psoriasis is strongly associated with cardiovascular disease (CVD) and metabolic syndrome, with pediatric and adolescent patients having an increased risk of each compared to the general population. This increased risk is based on shared underlying genetic and cytokine profiles, as well as similar environmental risks. Many screening guidelines do not address the development of CVD and metabolic syndrome in these predisposed patients, particularly in the adolescent population. These deficits are evidenced by the absence of validated 10-year CVD risk calculators for pediatric and adolescent patients with chronic inflammatory diseases, as well as insufficient screening guidelines for insulin resistance in patients with psoriasis. This manuscript aims to contribute literature regarding allopathic and lifestyle recommendations to the most recent 2017 consensus guideline for the pediatric/adolescent population with psoriasis. PubMed, COCHRANE Database of Systematic Reviews and Google Scholar were reviewed by a panel of clinicians with clinical and research expertise in psoriasis and pediatric subspecialties. The patient-centered Strength of Recommendation Taxonomy (SORT) method was utilized to grade the quality of the evidence available. Updates in management surrounding the role of lipoprotein(a) in lipid panels, recommendations for exercise and weight management to decrease insulin resistance, as well as guidance for heart rate and blood pressure management were discussed. Screening and managing pediatric and adolescent patients with psoriasis for the associated comorbidities of CVD and metabolic syndrome is imperative. Future high-quality studies are needed to strengthen the evidence provided throughout this review, which acts as a framework for clinical practice. Key words: Psoriasis, Comorbidity, Exercise, Treatment, Coronary heart disease

Exploring the biogeography, morphology, and phylogeny of the condylostomatid ciliates (Alveolata, Ciliophora, Heterotrichea), with establishment of four new Condylostoma species and a revision including redescriptions of five species found in China

Species of the ciliate class Heterotrichea Stein, 1859 are a cosmopolitan group of unicellular eukaryotic microorganisms, many of which have been widely used as models in various fields of research such as regenerative biology, functional ecology, environmental toxicology, and symbiotic behavior. However, species identification in the heterotrich family Condylostomatidae, especially the most species-rich and type genus Condylostoma Bory de Saint-Vincent, 1824, remains challenging due to incomplete original descriptions, few reliable distinguishing characters, and overlapping features between different species. This study presents an updated revision of Condylostoma and its related genus Condylostomides da Silva Neto, 1994 based on descriptions of five species, including nine populations collected from China, using both morphological and molecular methods. The main findings are as follows: (1) 43 nominal species and about 130 populations are reviewed, resulting in the recognition of 30 valid species of Condylostoma and eight valid species of Condylostomides; (2) keys, synonyms, biogeographic distributions and amended/improved diagnoses of all valid species are provided; (3) based on the available data, four new Condylostoma species (C. marinum sp. nov., C. petzi sp. nov., C. villeneuvei sp. nov., and C. microstomum sp. nov.), one new combination (Condylostomides minimus (Dragesco, 1954) comb. nov. & nom. corr.), and two corrected names (Condylostoma ancestrale Villeneuve-Brachon, 1940 nom. corr. and Condylostomides nigrus (Dragesco, 1960) nom. corr.) are suggested; (4) cryptic species are detected and proposed for the first time to form the Condylostoma curvum species complex; (5) three highly confusing Condylostoma species, C. kris, C. spatiosum, and C. minutum, are redefined for the first time based on modern taxonomic methods; (6) a ‘flagship’ species, Condylostomides coeruleus, is recorded for the first time from the continent of Asia, substantially expanding its biogeography; (7) ciliature adjacent to the distal end of the paroral membrane within the family Condylostomatidae is uniformly defined as frontal membranelles and is classified into three patterns according to the arrangement of kinetosomes, which serve as important key features.