Effect of antibiotic oxytetracycline, an emergent aquatic micropollutant on the freshwatter microalga "Chlamydomonas reinhardtii" Dangeard

[Resumen] Los contaminantes emergentes, entre los que se encuentran los compuestos farmacéuticos, constituyen un peligro latente en los ecosistemas acuáticos, ya que su presencia en estos medios puede provocar impactos negativos directos o indirectos sobre la biota, siendo particularmente preocupante un potencial efecto tóxico sobre las microalgas, organismos de gran relevancia para los ecosistemas, donde contribuyen al balance de oxígeno y gracias a las cuales se inicia el flujo de energía en los mismos. En la actualidad, el antibiótico oxitetraciclina es uno de los fármacos más utilizados en múltiples sectores como la medicina, veterinaria, ganadería o piscicultura. En este trabajo se estudió el posible efecto toxico del contaminante emergente oxitetraciclina (OTC) sobre la microalga dulceacuícola Chlamydomonas reinhardtii. Los cultivos de C. reinhardtii se expusieron a diferentes concentraciones de oxitetraciclina (1; 2,5; 5; y 10 mg l-1) durante 24 h y se analizaron los parámetros de crecimiento, viabilidad celular, contenido celular del pigmento fotosintético clorofila a y peso seco celular frente a cultivos control sin antibiótico. La exposición a oxitetraciclina provocó un descenso significativo (p < 0,05) del crecimiento y una pérdida de viabilidad celular en los cultivos de C. reinhardtii dependiente de la concentración de antibiótico, mientras que el contenido de clorofila a de las células microalgales sólo registró un descenso significativo (p < 0,05) en los cultivos expuestos a la concentración más alta ensayada. Por el contrario, el peso seco celular, presentó un incremento significativo (p < 0,05), excepto en los cultivos con la menor concentración del antibiótico. Paralelamente a estos ensayos, donde los cultivos se expusieron a una intensidad lumínica de 70 μmol fotón m-2 s-1, se llevaron a cabo cultivos con las mismas concentraciones de oxitetraciclina pero sometidos a un incremento en la intensidad lumínica, siendo expuestas a 200 μmol fotón m-2 s-1, con el fin de estudiar una potencial interacción entre la exposición al antibiótico y un incremento en la intensidad lumínica. Los resultados obtenidos sugieren la existencia de un efecto antagonista entre ambos factores, observándose IC50 con valores superiores en los cultivos expuestos a 200 μmol fotón m-2 s-1 que en los expuestos a 70 μmol fotón m-2 s-1 para los parámetros tasa de crecimiento y viabilidad celular.[Resumo] Os contaminantes emerxentes, entre os cales se atopan os compostos farmacéuticos, constitúen un perigo latente nos ecosistemas acuáticos, xa que a súa presenza nestes medios pode provocar impactos negativos directos ou indirectos sobre a biota, sendo particularmente preocupante un potencial efecto tóxico sobre as microalgas, organismos de grande relevancia para os ecosistemas, onde contribúen ó balance de osíxeno e grazas as cales se desencadea o fluxo de enerxía nos mesmo. Na actualidade, o antibiótico oxitetraciclina é un dos fármacos máis empregados en múltiples sectores como na medicina, veterinaria, gandeiría ou piscicultura. Neste traballo estudouse o posible efecto tóxico do contaminante emerxente oxitetraciclina (OTC) sobre a microalga doceacuícola Chlamydomonas reinhardtii. Os cultivos de C. reinhardtii expuxéronse a diferentes concentración de oxitetraciclina (1; 2,5; 5; y 10 mg l-1) durante 24 h e tamén se analizaron os parámetros de crecemento, viabilidade celular, contido celular do pigmento fotosintético clorofila a e o peso seco celular fronte ós cultivos control sen antibiótico. A exposición a oxitetraciclina provocou un descenso significativo (p < 0,05) do crecemento e unha perda da viabilidade celular nos cultivos de C. reinhardtii dependente da concentración do antibiótico, mentras que o contigo de clorofila a das células microalgales só rexistraron un descenso significativo (p < 0,05) nos cultivos expostos á concentración máis alta ensaiada. Pola contra, o peso seco celular, presentou un incremento significativo (p < 0,05), exceptuando o cultivo coa maior concentración de antibiótico. Paralelamente a estos ensaios, onde os cultivos se someteron a unha intensidade lumínica de 70 μmol fotón m-2 s-1, leváronse a cabo cultivos coas mesmas concentracións de oxitetraciclina pero sometidos a un incremento na intensidade lumínica, sendo expostos a 200 μmol fotón m-2 s-1, co fin de estudar unha potencial interacción entre a exposición ó antibiótico e un incremento da intensidade lumínica. Os resultados obtidos suxeren a existencia dun efecto antagonista entre ambos factores, observándose IC50 con valores superiores nos cultivos expostos a 200 μmol fotón m-2 s-1 que nos expostos a 70 μmol fotón m-2 s-1 para os parámetros taxa de crecemento e viabilidade celular.[Abstract] Emerging contaminants, such as pharmaceutical compounds constitute a latent danger in aquatic ecosystems, as their presence in these media may cause direct or indirect negative impacts on biota. This toxic potential effect is particularly worrying microalgae, organisms of great importance into aquatic ecosystems, since they are the begging of the energy flow and contribute to oxygen balance and through. Nowadays the antibiotic oxytetracycline is one of the most used in multiple sectors as in medicine, veterinary, livestock or pisciculture. In this study the possible toxic effect of emerging pollutant oxytetracycline (OTC) on freshwater microalgae Chlamydomonas reinhardtii was studied. C. reinhardtii cultures were exposed to different concentrations of oxytetracycline (1, 2.5, 5, and 10 mg l-1) for 24 h and parameters of growth, cell viability, cell contents of photosynthetic pigment chlorophyll a, weight dry cell were analyzed versus control cultures without antibiotic. Oxytetracycline exposure caused a significant decrease (p <0.05) of growth and the lost of cell viability in cultures of C. reinhardtii concentration dependent antibiotic, while the chlorophyll a content of microalgal cells only recorded a significant decrease (p <0.05) in cultures exposed to the highest concentration tested. In contrast, cell dry weight showed a significant increase (p <0.05), except in cultures with the lowest concentration of antibiotic. In parallel to these previus described assays, where the cultures were exposed at a light intensity of 70 μmol photon m-2 s-1, cultures with the same concentrations of oxytetracycline but exposed to an increasingly light intensity were carried out. These cultures were exposed to 200 μmol photon m-2 s-1, in order to study a potential interaction between antibiotic exposure and an increase in light intensity. The results suggest the existence of an antagonistic effect between the two factors, showing IC50 with higher values of growth rate and cell viability in cultures exposed to 200 μmol photon m-2 s-1 than in those exposed to 70 μmol photon m-2 s-1.Traballo fin de grao (UDC.CIE). Bioloxía. Curso 2015/201

Automation Proposal for the Intermediate Steps in the 16S FFPE Samples Analysis Pipeline

Cursos e Congresos, C-155[Abstract] In the day-to-day work of bioinformatics, the use of integrated software packages, which encompass a wide range of tools, enables the development of pipelines for omics data analysis. Within the various existing pipelines, we focus on the analysis of the 16S rRNA gene as it allows for the study of diversity and taxonomy of prokaryotic microorganisms such as Bacteria and Archaea. However, these pipelines often involve a sequence of multiple tools that require intermediate steps before further processing can proceed, as in the case between Cutadapt and DADA2. In fact, in a typical pipeline, the values for DADA2 input arguments ’trunc-len-f’ and ’trunc-len-r’ are extracted from the output of Cutadapt. The best approach for selecting optimal values (aka the trimming positions) is graphically visualizing Cutadapt output and manually selecting the most accurate trimming position length. Therefore, we propose the automation of this specific intermediate step between Cutadapt and DADA2 tools, by selecting values displayed in the graphs that meet the filtering criteria. This automation has been incorporated into a custom pipeline for the analysis of the microbiome in 16S paired-end samples from colorectal cancer patients, and could potentially serve as a standardization approach in these processesThe authors of this paper extend their sincere appreciation to the collaborative efforts and contributions of the meiGAbiome Group, aswell as the entire team of medical and anatomopathologists. Finally, we are deeply grateful to the patients whose selfless donations have made this and numerous other studies possibl

Involvement of HisF in the persistence of Acinetobacter baumannii during a pneumonia infection

[Abstract] Acinetobacter baumannii is currently considered one of themost problematic nosocomial microorganisms. In the present work the hisF gene from the ATCC 17978 strain and the AbH12O-A2 clinical isolate of A. baumannii was found over-expressed during the course of murine pneumonia infections. The study demonstrated that the A. baumannii ATCC 17978 mutant strain lacking the hisF gene induces a sub-lethal pneumonia infection in mice, while the complemented mutant strain increased its virulence. This histidine auxotroph mutant showed an increase on IL-6 secretion and leukocytes recruitment during infections. Furthermore, data revealed that the hisF gene, implicated in the innate immunity and inflammation, is involved in virulence during a pneumonia infection, which may partly explain the ability of this strain to persist in the lung. We suggest that HisF, essential for full virulence in this pathogen, should be considered a potential target for developing new antimicrobial therapies against A. baumannii.Instituto de Salud Carlos III; PI15/00860Instituto de Salud Carlos III; PI14/00059Instituto de Salud Carlos III; PI17/01482Axencia Galega de Innovación; IN607A 2016/22Spanish Network for Research in Infectious Diseases; REIPI RD12/0015/0014Spanish Network for Research in Infectious Diseases; REIPI RD16/0016/006Instituto de Salud Carlos III; FI18/00315Xunta de Galicia; IN606A-2019/029Xunta de Galicia; IN607A 2016/2

In-Depth Analysis of the Role of the Acinetobactin Cluster in the Virulence of Acinetobacter baumannii

[Abstract] Acinetobacter baumannii is a multidrug-resistant pathogen that represents a serious threat to global health. A. baumannii possesses a wide range of virulence factors that contribute to the bacterial pathogenicity. Among them, the siderophore acinetobactin is one of the most important, being essential for the development of the infection. In this study we performed an in-depth analysis of the acinetobactin cluster in the strain A. baumannii ATCC 17978. For this purpose, nineteen individual isogenic mutant strains were generated, and further phenotypical analysis were performed. Individual mutants lacking the biosynthetic genes entA, basG, basC, basD, and basB showed a significant loss in virulence, due to the disruption in the acinetobactin production. Similarly, the gene bauA, coding for the acinetobactin receptor, was also found to be crucial for the bacterial pathogenesis. In addition, the analysis of the ΔbasJ/ΔfbsB double mutant strain demonstrated the high level of genetic redundancy between siderophores where the role of specific genes of the acinetobactin cluster can be fulfilled by their fimsbactin redundant genes. Overall, this study highlights the essential role of entA, basG, basC, basD, basB and bauA in the pathogenicity of A. baumannii and provides potential therapeutic targets for the design of new antivirulence agents against this microorganism.This work was funded by Projects PI15/00860 awarded to GB and PI17/01482 to AB and MP, all within in the National Plan for Scientific Research, Development and Technological Innovation 2013–2016 and funded by the ISCIII – General Subdirection of Assessment and Promotion of the Research-European Regional Development Fund (FEDER) “A way of making Europe.” The study was also funded by project IN607A 2016/22 (GAIN- Agencia Gallega de Innovación – Consellería de Economía, Emprego e Industria) awarded to GB. This work was also supported by Planes Nacionales de I + D + i 2008–2011/2013–2016 and Instituto de Salud Carlos III, Subdirección General de Redes y Centros de Investigación Cooperativa, Ministerio de Economía y Competitividad, Spanish Network for Research in Infectious Diseases (REIPI RD16/0016/006) co-financed by European Development Regional Fund “A way to achieve Europe” and operative program Intelligent Growth 2014–2020. This work was also supported by Grant RTI2018-093634-B-C22 (AEI/FEDER, EU) from the State Agency for Research (AEI) of Spain, co-funded by the FEDER Programme from the European Union and Xunta de Galicia for the support of Grant ED431E 2018/03 for CICA-INIBIC strategic and the initiative “Seed Projects 2019–2020.” JV-U was financially supported by the ISCIII project FI18/00315, LÁ-F by the ISCIII project PI14/00059 and the IN606B-2018/011, MM-G was financially supported by the Grant Clara Roy (SEIMC, Spanish Society of Clinical Microbiology and Infectious Diseases), KC-P by IN607A 2016/22 and AECC (Asociación Española Contra el Cáncer) predoctoral fellowship and LA by Xunta de Galicia co-funded with the European Social Fund (FSE) of the European Union (ED481A-2019/081)Xunta de Galicia; IN607A 2016/22Xunta de Galicia; ED431E 2018/03Xunta de Galicia; IN606B-2018/011Xunta de Galicia; IN607A 2016/22Xunta de Galicia; ED481A-2019/08

Modeling the Number of People Infected With SARS-COV-2 From Wastewater Viral Load in Northwest Spain

Financiado para publicación en acceso aberto: Universidade da Coruña/CISUG[Abstract] The quantification of the SARS-CoV-2 RNA load in wastewater has emerged as a useful tool to monitor COVID–19 outbreaks in the community. This approach was implemented in the metropolitan area of A Coruña (NW Spain), where wastewater from a treatment plant was analyzed to track the epidemic dynamics in a population of 369,098 inhabitants. Viral load detected in the wastewater and the epidemiological data from A Coruña health system served as main sources for statistical models developing. Regression models described here allowed us to estimate the number of infected people (R2 = 0.9), including symptomatic and asymptomatic individuals. These models have helped to understand the real magnitude of the epidemic in a population at any given time and have been used as an effective early warning tool for predicting outbreaks in A Coruña municipality. The methodology of the present work could be used to develop a similar wastewater-based epidemiological model to track the evolution of the COVID–19 epidemic anywhere in the world where centralized water-based sanitation systems exist.This work was supported by EDAR Bens S.A., A Coruña, Spain [grant references INV04020, INV12120 and INV05921 to MP], the National Plan for Scientific Research, Development and Technological Innovation 2013-2016 funded by the ISCIII, Spain - General Subdirection of Assessment and Promotion of the Research-European Regional Development Fund (FEDER) “A way of making Europe” [grant numbers PI15/00860 to GB, PI17/01482 and PI20/00413 to MP], the GAIN, Xunta de Galicia, Spain [grant number IN607A 2016/22 to GB, ED431C-2016/015 and ED431C-2020/14 to RC, ED431C 2017/58 to SL, ED431G 2019/01 to RC and SL, and ED431C 2017/66 to MCV], MINECO, Spain [grant number MTM2017-82724-R to RC], Ministerio de Ciencia e Innovación, Spain [grant number PID2020-113578RB-100 to RC], and the Spanish Network for Research in Infectious Diseases [REIPI RD16/0016/006 to GB]. The work was also supported by the European Virus Archive Global (EVA-GLOBAL) project that has received funding from the European Union's Horizon 2020 - Research and Innovation Framework Programme under grant agreement no 871029. SR-F was financially supported by REIPI RD16/0016/006, KC-P by IN607A 2016/22 and the Spanish Association against Cancer (AECC) and JAV by IN607A 2016/22. Funding for open access charge: Universidade da Coruña/CISUGEDAR Bens S.A.; INV04020EDAR Bens S.A.; INV12120EDAR Bens S.A.; INV05921Xunta de Galicia; IN607A 2016/22Xunta de Galicia; ED431C-2016/015Xunta de Galicia; ED431C-2020/14Xunta de Galicia; ED431C 2017/58Xunta de Galicia; ED431G 2019/01Xunta de Galicia; ED431C 2017/6

Wastewater early warning system for SARS-CoV-2 outbreaks and variants in a Coruña, Spain

Financiado para publicación en acceso aberto: Universidade da Coruña/CISUG[Abstract]: Wastewater-based epidemiology has been widely used as a cost-effective method for tracking the COVID-19 pandemic at the community level. Here we describe COVIDBENS, a wastewater surveillance program running from June 2020 to March 2022 in the wastewater treatment plant of Bens in A Coruña (Spain). The main goal of this work was to provide an effective early warning tool based in wastewater epidemiology to help in decision-making at both the social and public health levels. RT-qPCR procedures and Illumina sequencing were used to weekly monitor the viral load and to detect SARS-CoV-2 mutations in wastewater, respectively. In addition, own statistical models were applied to estimate the real number of infected people and the frequency of each emerging variant circulating in the community, which considerable improved the surveillance strategy. Our analysis detected 6 viral load waves in A Coruña with concentrations between 103 and 106 SARS-CoV-2 RNA copies/L. Our system was able to anticipate community outbreaks during the pandemic with 8-36 days in advance with respect to clinical reports and, to detect the emergence of new SARS-CoV-2 variants in A Coruña such as Alpha (B.1.1.7), Delta (B.1.617.2), and Omicron (B.1.1.529 and BA.2) in wastewater with 42, 30, and 27 days, respectively, before the health system did. Data generated here helped local authorities and health managers to give a faster and more efficient response to the pandemic situation, and also allowed important industrial companies to adapt their production to each situation. The wastewater-based epidemiology program developed in our metropolitan area of A Coruña (Spain) during the SARS-CoV-2 pandemic served as a powerful early warning system combining statistical models with mutations and viral load monitoring in wastewater over time.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. Funding for open access charge: Universidade da Coruña/CISUG. This work was supported by EDAR Bens S.A., A Coruña, Spain [grant references INV04020, INV12120, INV05921, and INV148721 to MP], by the National Plan for Scientific Research, Development and Technological Innovation funded by the Institute of Health Carlos III (ISCIII), Spain—General Subdirection of Assessment and Promotion of the Research-European Regional Development Fund (FEDER) “A way of making Europe” [grant references PI15/00860 to GB, PI17/01482, and PI20/00413 to MP], by the Galician Innovation Agency (GAIN) (Xunta de Galicia, Spain) [grant references IN607A 2016/22 to GB, ED431C-2016/015 and ED431C-2020/14 to RC, ED431C 2021/53 to SL and ED431G 2019/01 and COV20/00604 to RC and SL, by Ministry of Economic Affairs and Digital Transformation (MINECO), Spain [grant references MTM2017-82724-R to RC], by the Spanish Network for Research in Infectious Diseases [REIPI RD16/0016/0006 to GB], by the “Innova Saúde” Program, (INNOVAMICROLAB project) co-founded by the Galician Healthcare Service (SERGAS) and the Spanish Ministry of Science and Innovation, and by the Spanish Network of Research in Infectious Diseases (CIBERINFEC, ISCIII), and by the European Virus Archive Global (EVA-GLOBAL) project that has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 871029. SR-F was financially supported by REIPI RD16/0016/006, KC-P by IN607A 2016/22 and the Spanish Association against Cancer (AECC) and JAV by IN607A 2016/22. DP was funded by grant EPICOVIGAL FONDO SUPERA-COVID19 from Banco Santander-CSIC-CRUE, Spain, and grant CT850A-2 from (Health Knowledge Agency) ACIS SERGAS from the Consellería de Sanidade of Xunta de Galicia, Spain.EDAR Bens S.A.; INV04020EDAR Bens S.A.; INV12120EDAR Bens S.A.; INV05921EDAR Bens S.A.; INV148721Xunta de Galicia; IN607A 2016/22Xunta de Galicia; ED431C-2016/015Xunta de Galicia; ED431C-2020/14Xunta de Galicia; ED431C 2021/53Xunta de Galicia; ED431G 2019/01Xunta de Galicia; COV20/0060

Making Waves:Collaboration in the time of SARS-CoV-2 - rapid development of an international co-operation and wastewater surveillance database to support public health decision-making

The presence of SARS-CoV-2 RNA in wastewater was first reported in March 2020. Over the subsequent months, the potential for wastewater surveillance to contribute to COVID-19 mitigation programmes has been the focus of intense national and international research activities, gaining the attention of policy makers and the public. As a new application of an established methodology, focused collaboration between public health practitioners and wastewater researchers is essential to developing a common understanding on how, when and where the outputs of this non-invasive community-level approach can deliver actionable outcomes for public health authorities. Within this context, the NORMAN SCORE “SARS-CoV-2 in sewage” database provides a platform for rapid, open access data sharing, validated by the uploading of 276 data sets from nine countries to-date. Through offering direct access to underpinning meta-data sets (and describing its use in data interpretation), the NORMAN SCORE database is a resource for the development of recommendations on minimum data requirements for wastewater pathogen surveillance. It is also a tool to engage public health practitioners in discussions on use of the approach, providing an opportunity to build mutual understanding of the demand and supply for data and facilitate the translation of this promising research application into public health practice.</p

Fungal Planet description sheets: 1042–1111

Novel species of fungi described in this study include those from various countries as follows: Antarctica, Cladosporium arenosum from marine sediment sand. Argentina, Kosmimatamyces alatophylus (incl. Kosmimatamyces gen. nov.) from soil. Australia, Aspergillus banksianus, Aspergillus kumbius, Aspergillus luteorubrus, Aspergillus malvicolor and Aspergillus nanangensis from soil, Erysiphe medicaginis from leaves of Medicago polymorpha, Hymenotorrendiella communis on leaf litter of Eucalyptus bicostata, Lactifluus albopicri and Lactifluus austropiperatus on soil, Macalpinomyces collinsiae on Eriachne benthamii, Marasmius vagus on soil, Microdochium dawsoniorum from leaves of Sporobolus natalensis, Neopestalotiopsis nebuloides from leaves of Sporobolus elongatus, Pestalotiopsis etonensis from leaves of Sporobolus jacquemontii, Phytophthora personensis from soil associated with dying Grevillea mccutcheonii. Brazil, Aspergillus oxumiae from soil, Calvatia baixaverdensis on soil, Geastrum calycicoriaceum on leaf litter, Greeneria kielmeyerae on leaf spots of Kielmeyera coriacea. Chile, Phytophthora aysenensis on collar rot and stem of Aristotelia chilensis. Croatia, Mollisia gibbospora on fallen branch of Fagus sylvatica. Czech Republic, Neosetophoma hnaniceana from Buxus sempervirens. Ecuador, Exophiala frigidotolerans from soil. Estonia, Elaphomyces bucholtzii in soil. France, Venturia paralias from leaves of Euphorbia paralias. India, Cortinarius balteatoindicus and Cortinarius ulkhagarhiensis on leaf litter. Indonesia, Hymenotorrendiella indonesiana on Eucalyptus urophylla leaf litter. Italy, Penicillium taurinense from indoor chestnut mill. Malaysia, Hemileucoglossum kelabitense on soil, Satchmopsis pini on dead needles of Pinus tecunumanii. Poland, Lecanicillium praecognitum on insects' frass. Portugal, Neodevriesia aestuarina from saline water. Republic of Korea, Gongronella namwonensis from freshwater. Russia, Candida pellucida from Exomias pellucidus, Heterocephalacria septentrionalis as endophyte from Cladonia rangiferina, Vishniacozyma phoenicis from dates fruit, Volvariella paludosa from swamp. Slovenia, Mallocybe crassivelata on soil. South Africa, Beltraniella podocarpi, Hamatocanthoscypha podocarpi, Coleophoma podocarpi and Nothoseiridium podocarpi (incl. Nothoseiridium gen. nov.)from leaves of Podocarpus latifolius, Gyrothrix encephalarti from leaves of Encephalartos sp., Paraphyton cutaneum from skin of human patient, Phacidiella alsophilae from leaves of Alsophila capensis, and Satchmopsis metrosideri on leaf litter of Metrosideros excelsa. Spain, Cladophialophora cabanerensis from soil, Cortinarius paezii on soil, Cylindrium magnoliae from leaves of Magnolia grandiflora, Trichophoma cylindrospora (incl. Trichophoma gen. nov.) from plant debris, Tuber alcaracense in calcareus soil, Tuber buendiae in calcareus soil. Thailand, Annulohypoxylon spougei on corticated wood, Poaceascoma filiforme from leaves of unknown Poaceae. UK, Dendrostoma luteum on branch lesions of Castanea sativa, Ypsilina buttingtonensis from heartwood of Quercus sp. Ukraine, Myrmecridium phragmiticola from leaves of Phragmites australis. USA, Absidia pararepens from air, Juncomyces californiensis (incl. Juncomyces gen. nov.) from leaves of Juncus effusus, Montagnula cylindrospora from a human skin sample, Muriphila oklahomaensis (incl. Muriphila gen. nov.)on outside wall of alcohol distillery, Neofabraea eucalyptorum from leaves of Eucalyptus macrandra, Diabolocovidia claustri (incl. Diabolocovidia gen. nov.)from leaves of Serenoa repens, Paecilomyces penicilliformis from air, Pseudopezicula betulae from leaves of leaf spots of Populus tremuloides. Vietnam, Diaporthe durionigena on branches of Durio zibethinus and Roridomyces pseudoirritans on rotten wood. Morphological and culture characteristics are supported by DNA barcodes