Fungal communities in decaying poplar pins in Northeastern USA discovered by MycoPins method

Evento de muestreo
Última versión publicado por Kean University el mar. 22, 2023 Kean University
Fecha de publicación:
22 de marzo de 2023
Publicado por:
Kean University
Licencia:
CC-BY 4.0

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Descripción

The MycoPins method is a protocol to monitor early colonization events in communities of wood-inhabiting fungi in fine woody debris. The sampling dataset presented here is based on fieldwork from a time series experiment on standard sterilized poplar pins (furniture wooden dowels 1 cm diameter, 3 cm length) that were placed in soil to decay, then collected and subjected to DNA metabarcoding analysis and automated molecular identification of species. The list of species for each sampling point during the duration of the experiment was produced by a taxonomic classifier PROTAX (Abarenkov, 2018). PROTAX analyses the DNA sequences and provides with a table of reliably identified (probability >0.9) species, which is about 10% of the overall sequences from our experiment. The list of published species is limited to only 10% because while identifying the species, PROTAX takes into the account the uncertainty and mislabelings in the UNITE database that was used as a reference.

Registros

Los datos en este recurso de evento de muestreo han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 15 registros.

también existen 1 tablas de datos de extensiones. Un registro en una extensión provee información adicional sobre un registro en el core. El número de registros en cada tabla de datos de la extensión se ilustra a continuación.

Event (core)
15
Occurrence 
1380

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Versiones

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Derechos

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El publicador y propietario de los derechos de este trabajo es Kean University. Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento (CC-BY 4.0).

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: 94d0f0a0-183f-49ae-aa8c-1bc4e930ec48.  Kean University publica este recurso y está registrado en GBIF como un publicador de datos avalado por GBIF-US.

Palabras clave

samplingEvent

Contactos

Maria Shumskaya
  • Proveedor De Los Metadatos
  • Autor
  • Originador
  • Punto De Contacto
Associate Professor
Kean University
07083 Union
New Jersey
US
Nicholas Lorusso
  • Originador
Assistant Professor
University of North Texas at Dallas
US
Urvi Patel
  • Originador
Student
Kean University
US
Madison Leigh
  • Originador
Student
Kean University
US
Panu Somervuo
  • Originador
Researcher
University of Helsinki
FI
Dmitry Schigel

Cobertura geográfica

Central New Jersey, Northeastern USA

Coordenadas límite Latitud Mínima Longitud Mínima [40,695, -74,271], Latitud Máxima Longitud Máxima [40,718, -74,234]

Cobertura taxonómica

No hay descripción disponible

Reino Fungi

Cobertura temporal

Fecha Inicial / Fecha Final 2020-11-23 / 2021-05-02

Datos del proyecto

MycoPins is a straightforward method for studying and monitoring dead wood colonization by fungi. The method combines standardized fieldwork sampling that includes experimental exposure of wooden pins to lignicolous fungi in the environment, followed by subsequent metabarcoding analysis of fungal DNA from the colonized pins.

Título MycoPins: a metabarcoding-based method to monitor fungal colonization of fine woody debris
Descripción del área de estudio The study was concluded in a suburban area of central New Jersey, USA, from December 2020 to May 2021.

Personas asociadas al proyecto:

Maria Shumskaya
Urvi Patel
  • Autor
Madison Leigh
  • Autor

Métodos de muestreo

Sterilized poplar pins (wooden dowels) 1 cm in diameter and 3 cm long were placed in triplicates on November 23rd, 2020 in soil 2 cm from the surface, covered with debris and allowed to decay. Pins were extracted after 14, 28, 42, 77 and 160 days. Each pin was saved as an event, with parent events assigned to each date of extraction. Upon extraction, two pins for each triplicate were wrapped in brown paper and dried for 5 hours at 45°C in a conventional food dehydrator, and one pin was frozen at -80°C. Two sterile negative control pins were exposed to air in the field for 30 min and then one was dried and one frozen using the same methods used to store sample pins.The interior of each pin was drilled by a 2 mm fire-sterilized drill bit, DNA was isolated and PCR for the ITS2 gene region from the extracted DNA was carried out with the primers fITS7 forward (F), 5’-GTGARTCATCGAATCTTTG, and ITS4 reverse (R), 5’-TCCTCCGCTTATTGATATGC (Clemmensen, 2016). PCR amplicons were sequenced using an Illumina 2x 250 paired-end (PE) configuration.

Área de Estudio The sampling event was performed from December 2020 to May 2021 in a suburban area of central New Jersey, Northeast of USA.
Control de Calidad During pre-processing of the sequencing data, raw pair-end sequences were merged using PEAR (Zhang et al, 2014), cutadapt (Martin 2011) was used for trimming and removing adapter/tag sequencing, and sequences were clustered using VSEARCH (Rognes et al, 2016) with 99% sequence similarity threshold. The resulting centroid sequences were processed with PROTAX (Abarenkov et al, 2018). Identification of species was performed using UNITE v 7.1 database. When calculating abundances of different taxa, the cluster sizes were taken into account. A sample-taxon table was produced as an output where the abundances were counted as the number of sequences whose taxon membership probability exceeded a 0.9 threshold (reliable identification). The resultant lists of species for each event (species in each pin) are shared in this dataset publication.

Descripción de la metodología paso a paso:

  1. For the detailed step-by-step description, please see our recent paper: Shumskaya M., Lorusso N., Patel U., Leigh M., Somervuo P., Schigel D. (2023) "MycoPins: a metabarcoding-based method to monitor fungal colonization of fine woody debris". MycoKeys 96:77-95.

Datos de la colección

Nombre de la Colección Kean University, Laboratory of Applied Genomics
Métodos de preservación de los ejemplares Congelado,  Secado

Referencias bibliográficas

  1. Clemmensen KE, Ihrmark K, Durling MB, Lindahl BD (2016) Sample Preparation for Fungal Community Analysis by High-Throughput Sequencing of Barcode Amplicons. Methods in molecular biology (Clifton, NJ) 1399: 61-88. doi:10.1007/978-1-4939-3369-3_4
  2. Martin M (2011) Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet Journal 17: 10-12. doi:10.14806/ej.17.1.200
  3. Rognes T, Flouri T, Nichols B, Quince C, Mahe F (2016) VSEARCH: a versatile open source tool for metagenomics. Peerj 4. doi:10.7717/peerj.2584
  4. Zhang JJ, Kobert K, Flouri T, Stamatakis A (2014) PEAR: a fast and accurate Illumina Paired-End reAd mergeR. Bioinformatics 30: 614-620. doi:10.1093/bioinformatics/btt593
  5. Abarenkov K, Somervuo P, Nilsson RH, Kirk PM, Huotari T, Abrego N, Ovaskainen O (2018) PROTAX-fungi: a web-based tool for probabilistic taxonomic placement of fungal internal transcribed spacer sequences. New Phytologist 220: 517-525 doi:10.1111/nph.15301
  6. Shumskaya M, Lorusso N, Patel U, Leigh M, Somervuo P, Schigel D. (2023) MycoPins: a metabarcoding-based method to monitor fungal colonization of fine woody debris. doi: 10.3897/mycokeys.96.101033

Metadatos adicionales

Identificadores alternativos 94d0f0a0-183f-49ae-aa8c-1bc4e930ec48
https://doi.org/10.15468/r7rxf6
https://ipt.gbif.us/resource?r=mycopins