說明
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.
資料紀錄
此資源sampling event的資料已發佈為達爾文核心集檔案（DwC-A），其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 15 筆紀錄。
亦存在 1 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。
此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本，以便利追蹤其隨時間的變更。
版本
以下的表格只顯示可公開存取資源的已發布版本。
權利
研究者應尊重以下權利聲明。:
此資料的發布者及權利單位為 Kean University。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF 註冊
此資源已向GBIF註冊，並指定以下之GBIF UUID: 94d0f0a0-183f-49ae-aa8c-1bc4e930ec48。 Kean University 發佈此資源，並經由GBIF-US同意向GBIF註冊成為資料發佈者。
關鍵字
samplingEvent
聯絡資訊
- 元數據提供者 ●
- 作者 ●
- 出處 ●
- 連絡人
- Associate Professor
http://orcid.org/0000-0001-7916-462X
- 出處
- Student
- 出處
- Student
地理涵蓋範圍
Central New Jersey, Northeastern USA
| 界定座標範圍 | 緯度南界 經度西界 [40.695, -74.271], 緯度北界 經度東界 [40.718, -74.234] |
|---|
分類群涵蓋範圍
無相關描述
| Kingdom | Fungi |
|---|
時間涵蓋範圍
| 起始日期 / 結束日期 | 2020-11-23 / 2021-05-02 |
|---|
計畫資料
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.
| 計畫名稱 | MycoPins: a metabarcoding-based method to monitor fungal colonization of fine woody debris |
|---|---|
| 研究區域描述 | The study was concluded in a suburban area of central New Jersey, USA, from December 2020 to May 2021. |
參與計畫的人員:
- 作者
- 作者
取樣方法
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.
| 研究範圍 | The sampling event was performed from December 2020 to May 2021 in a suburban area of central New Jersey, Northeast of USA. |
|---|---|
| 品質控管 | 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. |
方法步驟描述:
- 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.
收藏資料
| 蒐藏名稱 | Kean University, Laboratory of Applied Genomics |
|---|
| 標本保存方法 | Deep frozen, Dried |
|---|
引用文獻
- 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
- Martin M (2011) Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet Journal 17: 10-12. doi:10.14806/ej.17.1.200
- 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
- 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
- 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
- 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
額外的詮釋資料
| 替代的識別碼 | 94d0f0a0-183f-49ae-aa8c-1bc4e930ec48 |
|---|---|
| https://doi.org/10.15468/r7rxf6 | |
| https://ipt.gbif.us/resource?r=mycopins |