16S and ITS Amplicon Sequencing Fastq files and metadata from PARCHED Panama Tropical Forest soils, 2019-2020,

Chacon, Stephany; Cusack, Daniela; Bouskill, Nicholas; Khurram, Aizah; Bill, Markus; Dietterich, Lee

doi:10.15485/1874586

Title: 16S and ITS Amplicon Sequencing Fastq files and metadata from PARCHED Panama Tropical Forest soils, 2019-2020,

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Abstract

Model projections predict tropical forests will experience longer periods of drought and more intense precipitation cycles under a changing climate. Such transitions have implications for structure-function relationships within microbial communities. We examine how chronic drying might reshape prokaryotic and fungal communities across four lowland forests in Panama with a wide variation in mean annual precipitation and soil fertility. Four sites were established across a 1000 mm span in mean annual precipitation (2335 to 3300 mm). We expected microbial communities at sites with lower MAP to be less sensitive to chronic drying than sites with higher MAP; while fungal communities to be more resistant to disturbance than prokaryotes. At each location, partial throughfall exclusion structures were established over 10 x 10 m plots to reduce direct precipitation input. Raw demultiplexed sequences (bacteria, archaea, fungal) from soil samples taken from PARCHED Panama Tropical Forest throughfall exclusion experiments. Files that contain 16S are sequences from prokaryotes, ITS indicates sequences from fungi. Compressed fastq files are contained in Field_PARCHED_ITS_fastq_2020.zip, Field_PARCHED_ITS_fastq_2019.zip, Field_PARCHED_16S_fastq_2020.zip, Field_PARCHED_16S_fastq_2019.zip.There are four sites across the isthmus of Panama, each with 4 control and 4 exclusion plots. Throughfall exclusion shelters were built to intercept 50% of throughfall precipitation that hits the soil. Samplesmore »« less

Authors:

;

Lawrence Berkeley National Laboratory
Colorado State University

Publication Date:: Fri Dec 30 00:00:00 EST 2022

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Microbial environmental feedbacks and the evolution of soil organic matter

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES

Keywords:: Tropical Forest Soils; Panama; Partial Precipitation through fall exclusion ; Soil microbial communities; EARTH SCIENCE > LAND SURFACE > SOILS; Microbiome; Total microbial biomass; EARTH SCIENCE > LAND SURFACE > SOILS > MICROFLORA; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL PH; EARTH SCIENCE > LAND SURFACE > SOILS > CARBON; EARTH SCIENCE > LAND SURFACE > SOILS > NITROGEN

Geolocation:: 9.17936,-79.8296|9.17936,-79.8296|9.17936,-79.8296|9.17936,-79.8296|9.17936,-79.82969.09919,-79.854|9.09919,-79.854|9.09919,-79.854|9.09919,-79.854|9.09919,-79.8549.18788,-79.821|9.18788,-79.821|9.18788,-79.821|9.18788,-79.821|9.18788,-79.8219.28087,-79.9747|9.28087,-79.9747|9.28087,-79.9747|9.28087,-79.9747|9.28087,-79.9747

OSTI Identifier:: 1874586

DOI:: https://doi.org/10.15485/1874586

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                    Chacon, Stephany, Cusack, Daniela, Bouskill, Nicholas, Khurram, Aizah, Bill, Markus, and Dietterich, Lee. 16S and ITS Amplicon Sequencing Fastq files and metadata from PARCHED Panama Tropical Forest soils, 2019-2020,.  United States: N. p., 2022. 
        Web.  doi:10.15485/1874586.

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                    Chacon, Stephany, Cusack, Daniela, Bouskill, Nicholas, Khurram, Aizah, Bill, Markus, & Dietterich, Lee. 16S and ITS Amplicon Sequencing Fastq files and metadata from PARCHED Panama Tropical Forest soils, 2019-2020,.  United States.  doi:https://doi.org/10.15485/1874586

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                    Chacon, Stephany, Cusack, Daniela, Bouskill, Nicholas, Khurram, Aizah, Bill, Markus, and Dietterich, Lee. 2022.  
"16S and ITS Amplicon Sequencing Fastq files and metadata from PARCHED Panama Tropical Forest soils, 2019-2020,".  United States.  doi:https://doi.org/10.15485/1874586.  https://www.osti.gov/servlets/purl/1874586. Pub date:Fri Dec 30 00:00:00 EST 2022

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@article{osti_1874586,

  title        = {16S and ITS Amplicon Sequencing Fastq files and metadata from PARCHED Panama Tropical Forest soils, 2019-2020,},

  author       = {Chacon, Stephany and Cusack, Daniela and Bouskill, Nicholas and Khurram, Aizah and Bill, Markus and Dietterich, Lee},

  abstractNote = {Model projections predict tropical forests will experience longer periods of drought and more intense precipitation cycles under a changing climate. Such transitions have implications for structure-function relationships within microbial communities. We examine how chronic drying might reshape prokaryotic and fungal communities across four lowland forests in Panama with a wide variation in mean annual precipitation and soil fertility. Four sites were established across a 1000 mm span in mean annual precipitation (2335 to 3300 mm). We expected microbial communities at sites with lower MAP to be less sensitive to chronic drying than sites with higher MAP; while fungal communities to be more resistant to disturbance than prokaryotes. At each location, partial throughfall exclusion structures were established over 10 x 10 m plots to reduce direct precipitation input. Raw demultiplexed sequences (bacteria, archaea, fungal) from soil samples taken from PARCHED Panama Tropical Forest throughfall exclusion experiments. Files that contain 16S are sequences from prokaryotes, ITS indicates sequences from fungi. Compressed fastq files are contained in Field_PARCHED_ITS_fastq_2020.zip, Field_PARCHED_ITS_fastq_2019.zip, Field_PARCHED_16S_fastq_2020.zip, Field_PARCHED_16S_fastq_2019.zip.There are four sites across the isthmus of Panama, each with 4 control and 4 exclusion plots. Throughfall exclusion shelters were built to intercept 50% of throughfall precipitation that hits the soil. Samples were taken on May 2019 and Jan 2020 from 0-10 cm and 10-20 cm depth approximately 9 and 18 months after shelter installation. Metadata and sample IDs for fastq files for 2019 sampling are within Field_PARCHED_Metadata_2019_ITS.csv and Field_PARCHED_Metadata_2019_16S.csv. The metadata for both 16S and ITS fastq files for January 2020 is included in Field_PARCHED_Metadata_2020.csv. No data processing or QA/QC was done on the raw data. Data processing example provided in R notebook file.},

  doi          = {10.15485/1874586},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Dec 30 00:00:00 EST 2022},

  month        = {Fri Dec 30 00:00:00 EST 2022}

}

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DOI: https://doi.org/10.15485/1874586

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