Species Identification Rates Research Articles

Assembly-free reads accurate identification (AFRAID) approach outperforms other methods of DNA barcoding in the walnut family (Juglandaceae)

DNA barcoding has been extensively used for species identification. However, species identification of mixed samples or degraded DNA is limited by current DNA barcoding methods. In this study, we use plant species in Juglandaceae to evaluate an assembly-free accurate reads identification (AFRAID) method of species identification, a novel approach for precise species identification in plants. Specifically, we determined (1) the accuracy of DNA barcoding approaches in delimiting species in Juglandaceae, (2) the minimum size of chloroplast dataset for species discrimination, and (3) minimum amount of next generation sequencing (NGS) data required for species identification. We found that species identification rates were highest when whole chloroplast genomes were used, followed by taxon-specific DNA barcodes, and then universal DNA barcodes. Species identification of 100% was achieved when chloroplast genome sequence coverage reached 20% and the original sequencing data reached 500,000 reads. AFRAID accurately identified species for all samples tested after 500,000 clean reads, with far less computing time than common approaches. These results provide a new approach to accurately identify species, overcoming limitations of traditional DNA barcodes. Our method, which uses next generation sequencing to generate partial chloroplast genomes, reveals that DNA barcode regions are not necessarily fixed, accelerating the process of species identification.

Use of a novel combination of multiplex PCR and DNA barcoding in assessing authenticity of ginseng products

Ginseng (Panax sp.) is a medicinal plant used for its purported health benefits, primarily in East Asian countries. The COVID-19 pandemic led to a significant increase in sales of dietary supplements, including ginseng supplements, to purportedly support immune health and provide other health benefits. However, this heightened demand has subsequently increased the risk of adulteration in these dietary supplements. This study aimed to determine the efficacy of a novel combination of DNA barcoding and multiplex PCR to identify species in ginseng supplements. A total of 50 commercial ginseng supplements containing Panax ginseng, Panax quinquefolius, or Panax notoginseng were obtained from an online vendor. Two composite samples per product were subjected to DNA extraction followed by multiplex PCR and DNA barcoding with three genetic targets (i.e., rbcL, matK, and ITS2). Of the three DNA barcoding markers, ITS2 had the highest amplification success at 74%, and matK had the highest sequencing success at 60%. DNA barcoding alone identified species in 68% of products, while multiplex PCR had an overall 60% identification rate. The combination of both methods resulted in a 72% species identification rate. In addition to improving the overall identification rate, the combination of both methods allowed for greater species resolution and the detection of undeclared plant species. Future research should explore combining DNA-based methods with chemical-based approaches to improve ginseng detection capabilities and enable the quantification of undeclared adulterants.

Skmer approach improves species discrimination in taxonomically problematic genus Schima (Theaceae)

Genome skimming has dramatically extended DNA barcoding from short DNA fragments to next generation barcodes in plants. However, conserved DNA barcoding markers, including complete plastid genome and nuclear ribosomal DNA (nrDNA) sequences, are inadequate for accurate species identification. Skmer, a recently proposed approach that estimates genetic distances among species based on unassembled genome skims, has been proposed to effectively improve species discrimination rate. In this study, we used Skmer to identify species based on genomic skims of 47 individuals representing 10 out of 13 species of Schima (Theaceae) from China. The unassembled reads identified six species, with a species identification rate of 60%, twice as high as previous efforts that used plastid genomes (27.27%). In addition, Skmer was able to identify Schima species with only 0.5× sequencing depth, as six species were well-supported with unassembled data sizes as small as 0.5 Gb. These findings demonstrate the potential for the Skmer approach in species identification, where nuclear genomic data plays a crucial role. For taxonomically difficult taxa such as Schima, which have diverged recently and have low levels of genetic variation, Skmer is a promising alternative to next generation barcodes.

Surveillance of mosquitoes harnessing their buzzing sound

Mosquito surveillance for vector-borne disease management relies on traditional morphological and molecular techniques, which are tedious, time-consuming, and costly. The present study describes a simple and efficient recording device that analyzes mosquito sound to estimate species composition, male-female ratio, fed-unfed status, and harmonic convergence interaction using fundamental frequency (F0) bandwidth, harmonics, amplitude, and combinations of these parameters. The study examined a total of 19 mosquito species, including 3 species of Aedes, 7 species of Anopheles, 1 species of Armigeres, 5 species of Culex, 1 species of Hulecoetomyia, and 2 species of Mansonia. Among them, the F0 ranges between 269.09 ± 2.96 Hz (Anopheles culiciformis) to 567.51 ± 3.82 Hz (Aedes vittatus) and the harmonic band (hb) number ranges from 5 (An. culiciformis) to 12 (Ae. albopictus). In terms of species identification, the success rate was 95.32 % with F0, 84.79 % with F0-bandwidth, 84.79 % with harmonic band (hb) diversity, and 49.7 % with amplitude (dB). The species identification rate has gone up to 96.50 % and 97.66 % with the ratio and multiplication of F0 and hb, respectively. This is because of the matrices that combine multiple sound attributes. Comparatively, combinations of the amplitude of the F0 and the higher harmonic frequency band were non-significant for species identification (60.82 %). The fed females have shown a considerable increase in F0 in comparison to the unfed. The males of all the species possessed significantly higher frequencies with respect to the females. Interestingly, the presence of male-female of Ae. vittatus together showed harmonic convergence between the 2nd and 3rd harmonic bands. In conclusion, the sound-based technology is simple, precise, and cost-effective and provides better resolution for species, sex, and fed-unfed status detection in comparison to conventional methods. Real-time surveillance of mosquitoes could potentially utilize this technology.

The usefulness of the MALDI-TOF MS technique in the determination of dairy samples' microbial composition: comparison of the new EXS 2600 system with MALDI Biotyper platform.

This study compared the EXS 2600 system with the MALDI Biotyper for identifying microorganisms in dairy samples. Of the 196 bacterial isolates from milk, whey, buttermilk, cream, and dairy wastewater, the species and genus consistent identification between two systems showed 74% and 99%, respectively. However, the level of species identification rate exhibited a difference, which was higher in Zybio than in Bruker-76.0% and 66.8%, respectively. Notably, the EXS 2600 system performed better with certain yeast species and H. alvei, while the Biotyper excelled with Pseudomonas bacteria. Unique microbial compositions were found in 85% of dairy samples, with whey and buttermilk having the highest diversity. This research highlights the EXS 2600's potential as a reliable dairy microbial identification tool and underscores the need for a more diverse and comprehensive spectral database, despite the database's focus on clinical applications (as announced).

Improved eDNA assay evidences further refugia for critically endangered smalltooth sawfish (Pristis pectinata) in Mexico

Sawfishes are considered one of the most threatened marine fish taxa globally, with major contractions in their geographic range documented over the last 50 years across all oceans. Two sawfish species used to be found in Mexico, but a historical lack of research and first-hand baseline information recently raised concerns about the fate of both species there. Recent Local Ecological Knowledge (LEK) and environmental DNA (eDNA) research has shown that: a) Pristis pectinata and P. pristis were formerly abundant and widely distributed in the Mexican Atlantic coast, and the latter also in the Mexican Pacific coast, and b) sawfishes (at least P. pectinata) are still found in some coastal refugia in central Veracruz state and Campeche state on the Atlantic coast. In the present research we developed improved primers that allow for better species ID resolution for Pristis pectinata and P. pristis through successful sequencing of eDNA samples by amplifying a 270 bp fragment of the CO1 gene. Our results based on the analysis of 305 eDNA samples showed an improved positive species identification rate through sequencing, demonstrate that P. pectinata occurs in other coastal refugia along the Yucatán Peninsula in the Mexican Caribbean, and suggest this species might be extirpated from southern Veracruz, while no P. pristis eDNA has been found along the Atlantic coast.

Enhancing amphibian biomonitoring through eDNA metabarcoding.

Surveying biodiversity has taken a quantum leap with environmental DNA (eDNA) metabarcoding, an immensely powerful approach lauded for its efficiency, sensitivity, and non-invasiveness. This approach emerges as a game-changer for the elusive realm of endangered and rare species-think nocturnal, environmentally elusive amphibians. Here, we have established a framework for constructing a reliable metabarcoding pipeline for amphibians, covering primer design, performance evaluation, laboratory validation, and field validation processes. The Am250 primer, located on the mitochondrial 16S gene, was optimal for the eDNA monitoring of amphibians, which demonstrated higher taxonomic resolution, smaller species amplification bias, and more extraordinary detection ability compared to the other primers tested. Am250 primer exhibit an 83.8% species amplification rate and 75.4% accurate species identification rate for Chinese amphibians in the in silico PCR and successfully amplified all tested species of the standard samples in the invitro assay. Furthermore, the field-based mesocosm experiment showed that DNA can still be detected by metabarcoding even days to weeks after organisms have been removed from the mesocosm. Moreover, field mesocosm findings indicate that eDNA metabarcoding primers exhibit different read abundances, which can affect the relative biomass of species. Thus, appropriate primers should be screened and evaluated by three experimental approaches: in silico PCR simulation, target DNA amplification, and mesocosm eDNA validation. The selection of a single primer set or multiple primers' combination should be based on the monitoring groups to improve the species detection rate and the credibility of results.

Identification and diversity assessment of Ziziphus species using DNA barcoding

The genus Ziziphus, belonging to the family Rhamnaceae, is of great economic and medicinal importance worldwide due to the value of its fruits in household income and food security. However, many species within this genus are phenotypically identical, leading to imprecise identification and hindering their conservation, variation in the gene pool, and exploitation. To address this issue, we collected 26 individuals from different regions of Khyber Pakhtunkhwa, Pakistan and Shanxi province, China, to assess the efficiency of DNA barcoding regions in identifying Ziziphus species. We tested the ability of five DNA barcodes regions, namely ITS, matK, rbcL, trnH-psbA, and trnL-UAA, to distinguish between Ziziphus species as an alternative approach for species identification and the phylogenetic reconstruction. The results of the study, as the success rate of PCR amplification of matK, trnL-UAA, and ITS, provided the highest species resolution with 100 % accuracy, except for trnH-psbA (90.78 %). ITS and matK were identified as the most effective single barcode, with a species identification success rate of 87.4 %±0.98 % and 84.89 %±0.66 %. These results suggest that matK, trnL-UAA, and ITS are universal barcode regions for identification of all Ziziphus species identification and their discrimination power to differentiate. In contrast, the combination of trnL-UAA+ITS region displayed the highest species identification rate (92.1 %), the five barcodes region combination, and superior to any barcodes regions combination that included rbcL+trnH-psbA. Additionally, the study found high haplotypes and nucleotide diversity in Pakistani Ziziphus species, mainly in the ITS barcode, with values of 0.84 and 0.0086, respectively. In conclusion, the study establishes that the DNA fragments ITS, trnL-UAA, and matK are effective in identifying and distinguishing Ziziphus species. The approach can be considered as an accurate tool for identifying these species and will be used as a universal barcode's region for Ziziphus species. DNA barcoding is a useful approach and provides a reliable and effective means for Ziziphus discrimination, and in combination with morphology-based taxonomy will be a robust approach for tackling taxonomically complex species. Additionally, this study provides valuable insights into the genomic architecture of Ziziphus species, which has implications for their classification, conservation, and germplasm resource improvement. This research provides a novel approach to the problem of incorrectly identifying economically and medicinally important species, particularly those in the genus Ziziphus.

Phylogenetic Relationships and Next-Generation Barcodes in the Genus Torreya Reveal a High Proportion of Misidentified Cultivated Plants.

Accurate species identification is key to conservation and phylogenetic inference. Living plant collections from botanical gardens/arboretum are important resources for the purpose of scientific research, but the proportion of cultivated plant misidentification are un-tested using DNA barcodes. Here, we assembled the next-generation barcode (complete plastid genome and complete nrDNA cistron) and mitochondrial genes from genome skimming data of Torreya species with multiple accessions for each species to test the species discrimination and the misidentification proportion of cultivated plants used in Torreya studies. A total of 38 accessions were included for analyses, representing all nine recognized species of genus Torreya. The plastid phylogeny showed that all 21 wild samples formed species-specific clades, except T. jiulongshanensis. Disregarding this putative hybrid, seven recognized species sampled here were successfully discriminated by the plastid genome. Only the T. nucifera accessions grouped into two grades. The species identification rate of the nrDNA cistron was 62.5%. The Skmer analysis based on nuclear reads from genome skims showed promise for species identification with seven species discriminated. The proportion of misidentified cultivated plants from arboreta/botanical gardens was relatively high with four accessions (23.5%) representing three species. Interspecific relationships within Torreya were fully resolved with maximum support by plastomes, where Torreya jackii was on the earliest diverging branch, though sister to T. grandis in the nrDNA cistron tree, suggesting that this is likely a hybrid species between T. grandis and an extinct Torreya ancestor lineage. The findings here provide quantitative insights into the usage of cultivated samples for phylogenetic study.

Geometric morphometric analysis of Pleuronectiformes vertebrae: A new tool to identify archaeological fish remains?

Flatfish (Pleuronectiformes) vertebrae are difficult to identify to species due to the lack of diagnostic features. This has resulted in a lack of understanding of the species abundances across archaeological sites, hindering interpretations of historical fisheries in the North Sea area. We use a new approach, utilising a combined 2D landmark-based geometric morphometric analysis as an objective and non-destructive method for species identification of flatfish vertebrae from the North Sea area. Modern specimens were used as a reference to describe the morphological variation between taxa using principal component analysis (PCA) and to trial an automated classification using linear discriminant analysis. Although there is limited distinction between taxa using PCAs, the classification shows high accuracies, indicating that flatfish species identifications using geometric morphometrics are possible. Bone samples (n = 105) from two archaeological sites in the United Kingdom and France were analysed using this approach and their identifications were verified using collagen peptide mass fingerprinting. The success rate of species identification was usually less than 50%, indicating that this technique has limited applicability due to preservation/fragmentation of archaeological fish bone. Nonetheless, this could prove a valuable tool for modern and non-fragmented samples. Furthermore, the technique applied in this study can be easily adapted to work on other landmark datasets.

COI barcoding provides reliable species identification and pinpoints cryptic diversity in Western Palearctic amphibians

Abstract Assembling DNA barcode reference libraries for various taxonomic groups allows researchers to use metabarcoding or environmental DNA approaches to gain a rapid understanding of diversity in given environments. However, our ability to use reference libraries depends on how accurately DNA barcodes are able to recover taxonomic boundaries and identify species, which is rarely considered. We constructed an extensive COI barcoding library for amphibians of the Western Palearctic and successfully recovered barcodes from 60 urodele and 73 anuran species (representing 94% and 98% of the nominal anuran and urodele species in the Western Palearctic, respectively), covering the intraspecific diversity of the majority of species in this region. We tested the effectiveness of our assembled DNA barcode dataset for species identification using barcoding gap, efficiency analyses, and two phylogenetic species delimitation methods. We obtained DNA barcodes for 1251 specimens (691 anurans and 560 urodeles) with a high success rate (92-96%) of species identification. The absence of a barcoding gap in a number of samples was linked to species misidentifications, which suggest incipient speciation or cryptic diversity, or previously described mitochondrial introgression events. The phylogenetic species delimitation methods resulted in substantial oversplitting of currently accepted taxonomy. This COI barcoding library provides an almost complete and reliable reference library for Western Palearctic amphibians. We highlight the importance of generating comprehensive and well curated reference libraries that include intra- and interspecific genetic variability and the need of detailed taxonomic revision when ambiguous or incorrect DNA barcodes exist.

Development of SNP markers for Cucurbita species discrimination

There are five domesticated species in the genus Cucurbita. These are Cucurbita. pepo, Cucurbita maxima, Cucurbita moschata, Cucurbita ficifolia, and Cucurbita argyrosperma. Cucurbita has a large genetic diversity, with various growth forms, sizes, shapes, colors, compositions, tastes, and resistance to biotic and abiotic factors. Maintaining the biological diversity of genetic resources and managing the right historical information are important first steps in the development of new varieties with desirable traits. This study presents the classification of Cucurbita species using DNA barcodes and the development of powerful single nucleotide polymorphism (SNP) markers that can distinguish the five Cucurbita species. A total of 54 accessions from five Cucurbita species (C. pepo, C. maxima, C. moschata, C. ficifolia, and C. argyrosperma) were used for SNP marker development. The chloroplast DNA was extracted, and the three universal barcoding regions (matK, trnH-psbA, and rbcL) were sequenced. Neighbor-joining (NJ) trees were constructed using the nucleotide sequence of the cpDNA barcodes. The rbcL and trnH-psbA barcodes failed to differentiate between C. moschata and C. argyrosperma, whereas the matK region efficiently differentiated with 87% bootstrap support. Moreover, the matK region showed a species identification rate of 100%, making it an efficient marker for identifying the five domesticated Cucurbita species. Multiplex SNaPShot (mini sequencing) analysis of four SNPs in the matK region revealed four species-specific SNPs that effectively classify Cucurbita species into five groups. When all four markers are used together, they are effective. These four species specific SNP markers were validated using known Cucurbita germplasm (111 accessions) and applied for the species identification of unknown Cucurbita germplasm (370 accessions) available at the RDA gene bank in the Republic of Korea. These markers were 100% effective for identifying the five Cucurbita species. Therefore, these SNP markers can be used for effective management of Cucurbita genetic resources in genebanks around the world.

Enterococcus Species Isolated from Urine Cultures and Antibiotic Resistance Rates

While enterococci are found as flora elements in many parts of the body, they have recently emerged as different infectious agents such as urinary tract infections, bacteremia, and meningitis. Increasing antibiotic resistance also poses additional challenges in treatment. In this study, it was aimed to determine the species identification and antibiotic resistance rates of enterococci isolated from the urinary tract. Enterococcus strains isolated from urine culture samples sent to the routine microbiology laboratory from various clinics of our hospital between 01.01.2020 and 31.12.2021 with the preliminary diagnosis of urinary tract infection were included in this study. Samples were cultivated on sheep blood agar and eosin methylene blue agar, and species determination and antibiogram evaluation were carried out in accordance with the recommendations of EUCAST (European Committee on Antimicrobial Susceptibility Testing-2020-2021) using conventional methods and automated identification device (VITEK 2 Compact-BioMerieux-France). All enterococci isolates (n=349) were susceptible to vancomycin, teicoplanin, tigecycline and linezolid. Of Enterococcus faecalis isolates (n=238), 32.8% were resistant to ciprofloxacin, 23.7% to high-level gentamicin, 33.2% to imipenem, 2.5% to nitrofurantoin, and 26.9% to streptomycin. Of the Enterococcus faecium isolates (n=111), 84.7% were resistant to ciprofloxacin, 58.6% to high-level gentamicin, 91% to imipenem, 31.5% to nitrofurantoin, and 83.8% to streptomycin. In conclusion, it is important to determine the resistance patterns of enterococcus strains, which are most frequently isolated as the causative agent of urinary tract infection, and also cause other clinical presentations such as wound infection or bacteremia, and to establish appropriate treatment protocols and to determine new antibiotic resistances.

MALDI-TOF MS-Based Approaches for Direct Identification of Gram-Negative Bacteria and BlaKPC-Carrying Plasmid Detection from Blood Cultures: A Three-Year Single-Centre Study and Proposal of a Diagnostic Algorithm.

The rapid identification of pathogens of bloodstream infections (BSIs) and the detection of antibiotic resistance markers are critically important for optimizing antibiotic therapy and infection control. The purpose of this study was to evaluate two approaches based on MALDI-TOF MS technology for direct identification of Gram-negative bacteria and automatic detection of Klebsiella pneumoniae carbapenemase (KPC) producers using the Bruker MBT Subtyping IVD Module in a large routine laboratory over a three-year period. MALDI-TOF MS analysis was performed directly from blood culture (BC) bottles following bacterial pellet recovery by Rapid MBT Sepsityper® Kit and on blood agar 4-h subcultures. Automated detection of blaKPC-carrying pKpQIL-plasmid by Bruker MBT Subtyping Module was evaluated in BCs tested positive to K. pneumoniae or E. coli. The results were compared with those obtained with conventional reference methods. Among the 2858 (93.4%) monomicrobial BCs, the overall species identification rates of the Rapid Sepsityper and the short-term subculture protocols were 84.5% (n = 2416) and 90.8% (n = 2595), respectively (p < 0.01). Excellent specificity for KPC-producers identification were observed for both MALDI-TOF MS protocols. The pKpQIL plasmid-related peak was detected in overall 91 of the 120 (75.8%) KPC-producing isolates. Notably, 14 out of the 17 (82.3%) K. pneumoniae isolates carrying blaKPC variants associated with ceftazidime/avibactam resistance and tested negative by the immunocromatography assay, were correctly identified as KPC-producers by MALDI-TOF MS. In conclusion, combination of both Rapid Sepsityper and short-term subculture protocols may represent an optimal solution to promptly identify more than 95% of Gram-negative bacteria causing BSIs. MALDI Biotyper® platform enabled a reliable and robust automated detection of KPC producers in parallel with species identification. However, integration of molecular or immunocromatographic assays are recommended according to local epidemiology.

Lack of correlation between growth rate and sequence type among Cronobacter sakazakii

Species identification and growth rates for a collection of Cronobacter strains from clinical and non-clinical sources have been previously reported. However, advancements in DNA sequencing-based identification methods now allow for more accurate identification. Here we report the sequence types (STs) for 24 strains of Cronobacter sakazakii and examine any possible correlation between sequence type and growth rate, which could influence risk through greater pathogen multiplication and reach of infectious doses during time between formula preparation and feeding.The most common clonal complexes (CCs) identified were C. sakazakii CC1 and CC4. CC1 strains belonged to ST1 (n = 8) and ST391 (n = 1), while CC4 included ST4 (n = 4), ST255 (n = 1) and ST295 (n = 1). Three strains were found to belong to CC100 and two were found to belong to ST64. The remaining STs identified were represented by single strains. CC4 strains have a slightly not significant tendency for faster growth rates at 25 °C; however, the small sample size suggests that more strains need to be analysed to determine if this is a true result. In conclusion, the growth rates of C. sakazakii strains do not appear to be strongly correlated to ST.

DNA barcoding of Cymbidium by genome skimming: Call for next-generation nuclear barcodes.

Cymbidium is an orchid genus that has undergone rapid radiation and has high ornamental, economic, ecological and cultural importance, but its classification based on morphology is controversial. The plastid genome (plastome), as an extension of plant standard DNA barcodes, has been widely used as a potential molecular marker for identifying recently diverged species or complicated plant groups. In this study, we newly generated 237 plastomes of 50 species (at least two individuals per species) by genome skimming, covering 71.4% of members of the genus Cymbidium. Sequence-based analyses (barcoding gaps and automatic barcode gap discovery) and tree-based analyses (maximum likelihood, Bayesian inference and multirate Poisson tree processes model) were conducted for species identification of Cymbidium. Our work provides a comprehensive DNA barcode reference library for Cymbidium species identification. The results show that compared with standard DNA barcodes (rbcL + matK) as well as the plastid trnH-psbA, the species identification rate of the plastome increased moderately from 58% to 68%. At the same time, we propose an optimized identification strategy for Cymbidium species. The plastome cannot completely resolve the species identification of Cymbidium, the main reasons being incomplete lineage sorting, artificial cultivation, natural hybridization and chloroplast capture. To further explore the potential use of nuclear data in identifying species, the Skmer method was adopted and the identification rate increased to 72%. It appears that nuclear genome data have a vital role in species identification and are expected to be used as next-generation nuclear barcodes.

DNA barcode reference library for the West Sahara-Sahel reptiles

DNA barcode reference libraries are now continuously produced for the tree of life, which are essential pillars for the study of biological diversity. Yet, our knowledge about global diversity is largely limited in undersampled regions such as the largest warm desert, the Sahara-Sahel. This dataset provides a DNA barcode reference library for the reptiles of the Western Sahara-Sahel (WSS) and neighbouring countries across this region. It includes 760 barcodes from 133 reptile taxa, distributed in 23 families, and covering the intraspecific diversity of some species. A total of 84 species were collected in the WSS (83% of the total reptile species richness) over 18 overland field expeditions conducted since 2003. DNA barcodes resulted in a high success rate (95%) of species identification and barcoding gap analysis highlighted the effectiveness of the COI fragment as a barcode marker for the WSS reptiles. This dataset represents a comprehensive and reliable DNA reference library for the WSS, filling an important biodiversity gap across a remote and hard-to-sample region.

New understanding of source profiles: Example of the coating industry

The source profiles of VOCs in the industry are closely related to the raw and auxiliary materials, process characteristics and waste gas treatment of the enterprise, as well as the number of VOCs that can be identified by analytical methods. In the process of industry transformation, it is necessary to update the source profiles. This study selects the coating industry as a case study as it is in a transitional stage and has high volatile organic compounds (VOCs) production and odor complaints. The VOCs emissions in seven coating enterprises in 2019 were studied using a broad-spectrum and high species identification rate analysis method to identify many new species of VOCs, which increased the total emissions by 6.4 times compared with previous studies. A total of 26 new types of VOCs pollutants were identified, especially the number of oxygenated VOCs species increased by 3.1 times, and proved that butyl acetate replaced the benzene series to become was the new dominant species in the coating industry. And the average ozone formation potential (OFP) of coating industry was 2.6 times the measurement result of the classic method of PAMs and TO15. The source reactivity increased on average by 366.7%.

Metabarcoding of insect-associated fungal communities: a comparison of internal transcribed spacer (ITS) and large-subunit (LSU) rRNA markers.

Full taxonomic characterisation of fungal communities is necessary for establishing ecological associations and early detection of pathogens and invasive species. Complex communities of fungi are regularly characterised by metabarcoding using the Internal Transcribed Spacer (ITS) and the Large-Subunit (LSU) gene of the rRNA locus, but reliance on a single short sequence fragment limits the confidence of identification. Here we link metabarcoding from the ITS2 and LSU D1-D2 regions to characterise fungal communities associated with bark beetles (Scolytinae), the likely vectors of several tree pathogens. Both markers revealed similar patterns of overall species richness and response to key variables (beetle species, forest type), but identification against the respective reference databases using various taxonomic classifiers revealed poor resolution towards lower taxonomic levels, especially the species level. Thus, Operational Taxonomic Units (OTUs) could not be linked via taxonomic classifiers across ITS and LSU fragments. However, using phylogenetic trees (focused on the epidemiologically important Sordariomycetes) we placed OTUs obtained with either marker relative to reference sequences of the entire rRNA cistron that includes both loci and demonstrated the largely similar phylogenetic distribution of ITS and LSU-derived OTUs. Sensitivity analysis of congruence in both markers suggested the biologically most defensible threshold values for OTU delimitation in Sordariomycetes to be 98% for ITS2 and 99% for LSU D1-D2. Studies of fungal communities using the canonical ITS barcode require corroboration across additional loci. Phylogenetic analysis of OTU sequences aligned to the full rRNA cistron shows higher success rate and greater accuracy of species identification compared to probabilistic taxonomic classifiers.

Performance of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification of Scedosporium, Acremonium-Like, Scopulariopsis, and Microascus Species.

Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has emerged as a powerful microorganism identification tool. Research on MALDI-TOF MS identification of rare filamentous fungi is still lacking. This study aimed to evaluate the performance of MALDI-TOF MS in the identification of Scedosporium, Acremonium-like, Scopulariopsis, and Microascus species. Sabouraud broth cultivation and formic acid/acetonitrile protein extraction were used for MALDI-TOF MS identification by a Bruker Biotyper system. An in-house database containing 29 isolates of Scedosporium, Acremonium-like, Scopulariopsis, and Microascus spp. was constructed. A total of 52 clinical isolates were identified using the Bruker Filamentous Fungi Library v1.0 (FFL v1.0) alone, and Filamentous Fungi Library v1.0 plus the in-house library, respectively. The mass spectrum profile (MSP) dendrograms of the 28 Scedosporium isolates, 26 Acremonium-like isolates, and 27 Scopulariopsis and Microascus isolates were constructed by MALDI Biotyper OC 4.0 software, respectively. The correct species identification rate significantly improved when using the combined databases compared with that when using FFL v1.0 alone (Scedosporium spp., 75% versus 0%; Acremonium-like spp., 100% versus 0%; Scopulariopsis and Microascus spp., 100% versus 62.5%). The MSP dendrograms differentiated Acremonium-like species, Scopulariopsis and Microascus species clearly, but cannot distinguish species in the Scedosporium apiospermum complex. In conclusion, with an expanded database, MALDI-TOF MS is an effective tool for the identification of Scedosporium, Acremonium-like, Scopulariopsis, and Microascus species.