Leaf litter, soil, and periphyton gene expression along freshwater to marine gradients in Everglades National Park (FCE LTER), Florida, USA, January 2021 and April 2021
At a Glance
Authors: Kenneth Anderson, John Kominoski, Chang Jae Choi, Ulrich Stingl
Time period: 2021-01-01 to 2021-12-31
Package id: knb-lter-fce.1270.1
Anderson, K., J. Kominoski, C. Choi, U. Stingl. 2024. Leaf litter, soil, and periphyton gene expression along freshwater to marine gradients in Everglades National Park (FCE LTER), Florida, USA, January 2021 and April 2021. Environmental Data Initiative. https://doi.org/10.6073/pasta/6957cf577776d39845ffef077a590cfc. Dataset accessed 2024-11-21.
Geographic Coverage
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Dataset Creator(s)
- Name: Kenneth Anderson
- Position: Post-doctoral Scholar
- Organization: Kent State University
- Email: kanderson624@gmail.com
- Name: John Kominoski
- Position: Professor
- Organization: Florida International University
- Email: jkominos@fiu.edu
- Name: Chang Jae Choi
- Position: Post-doctoral Scholar
- Organization: University of Florida
- Email: changjae.choi@ufl.edu
- Name: Ulrich Stingl
- Position: Assistant Professor
- Organization: University of Florida
- Email: ustingl@ufl.edu
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Dataset AbstractWe collected leaf litter, periphyton, and soil along freshwater to marine gradients at SRS-2, SRS-4, SRS-6, TS/PH-2, TS/Ph-3, TS/Ph-7a, and TS/Ph-10. Samples were collected in January and April of 2021 to understand how microbial communities respond to and influence the breakdown of organic matter along freshwater to marine transects. Data collection for this project is complete.
For each site and litter pair we collected a subset of 2-3 g wet mass of litter, a grab sample of soil, and a grab sample of periphyton for each site. All subsamples were preserved at -20°C until extraction, which took place up to a year after initial collection. Samples were sent to Novogene (Novogene Co. Ltd., Beijing, China) for the total RNA extraction followed by metatranscriptome sequencing.
We selected n = 12 genes/gene families encoding for focal enzymes to investigate which are important to the breakdown of organic matter: Dioxygenases (associated with aerobic respiration), Sulfatases (associated with the release of sulfates from complex molecules), sulfite reductases (associated with sulfite reduction), methyl coenzyme M reductase and formylmethanofuran (associated with methanogenesis), nitrite reductases (associated with nitrite reduction), cellobiosidase, glucosidase, and xylosidase (associated with cellulose breakdown), phenol oxidase (associated with lignin breakdown), acid phosphatase (associated with phosphate acquisition in acidic environments), and alkaline phosphatase (associated with phosphate acquisition in basic environments). For each gene/family of interest, we searched all annotated transcripts for all entries corresponding to that gene/family and combined all values for a total expression.
We selected n = 6 monophyletic microbial functional groups, representing sulfate reducers, sulfate oxidizers, methane oxidizers, methanogens, nitrite oxidizers, and ammonia oxidizers associated with sulfate and methane cycling. We filtered all annotated transcripts for all species with the following in the name: in the name: ‘desulfo’ for sulfate reducers, ‘sulfito’ for sulfite oxidizers, ‘methylo’ for methyl/methane oxidizers, ‘methano’ for methanogens, ‘nitro’ for nitrite oxidizers, and ‘nitroso’ for aerobic ammonia oxidizers.
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Geographic CoverageBounding Coordinates
SRS2
N: 25.54972811, S: 25.54972811, E: -80.78520692, W: -80.78520692
SRS4
N: 25.40976421, S: 25.40976421, E: -80.96431016, W: -80.96431016
SRS6
N: 25.36462994, S: 25.36462994, E: -81.07794623, W: -81.07794623
TS/Ph2
N: 25.40357188, S: 25.40357188, E: -80.60690341, W: -80.60690341
TS/Ph3
N: 25.25240534, S: 25.25240534, E: -80.66271768, W: -80.66271768
TS/Ph7a
N: 25.19080491, S: 25.19080491, E: -80.63910514, W: -80.63910514
TS/Ph10
N: 25.02476744, S: 25.02476744, E: -80.68097374, W: -80.68097374
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Temporal CoverageStart Date: 2021
End Date: 2021
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Attributes
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Data Table: Transcriptomic gene expression from deployed litter samples, soil samples, and periphyton samples.Attribute Name:SITENAMEAttribute Label:SITENAMEAttribute Definition:Name of LTER siteStorage Type:stringMeasurement Scale:SRS2= Site SRS-2
SRS4= Site SRS-4
SRS6= Site SRS-6
TS/Ph10= Site TS/Ph-10
TS/Ph2= Site TS/Ph-2
TS/Ph3= Site TS/Ph-3
TS/Ph7a= Site TS/Ph-7a
Missing Value Code:Attribute Name:SpeciesAttribute Label:SpeciesAttribute Definition:Species of Vegetation microbes were isolated fromStorage Type:stringMeasurement Scale:Eleocharis= Eleocharis cellulosa
Mangrove= Rhizophora mangle
Periphyton= Mixed periphyton was collected for these samples.
Sawgrass= Cladium jamaicense
Soil= Soil from the top 10cm of the soil was collected for these samples
Thalassia= Thalassia testudinum
Missing Value Code:Attribute Name:MonthAttribute Label:MonthAttribute Definition:Month during which samples were collectedStorage Type:stringMeasurement Scale:1= January
4= April
Missing Value Code:Attribute Name:TypeAttribute Label:TypeAttribute Definition:This column groups by whether samples are from deployed leaf litter packs, periphyton, or soil.Storage Type:stringMeasurement Scale:Litter= Samples from deployed leaf litter packs
Peri= Samples where periphyton was collected if present.
Soil= Samples where soil was collected from the top 10cm of the soil surface
Missing Value Code:Attribute Name:DioxygenasesAttribute Label:DioxygenasesAttribute Definition:Summed total relative expression of genes associated with dioxygenasesStorage Type:floatMeasurement Scale:Units: dimensionlessNumber Type: realMissing Value Code:Attribute Name:SulfatasesAttribute Label:SulfatasesAttribute Definition:Summed total relative expression of genes associated with sulfatasesStorage Type:floatMeasurement Scale:Units: dimensionlessNumber Type: realMissing Value Code:Attribute Name:Sulfite_ReductasesAttribute Label:Sulfite ReductasesAttribute Definition:Summed total relative expression of genes associated with sulfite reductasesStorage Type:floatMeasurement Scale:Units: dimensionlessNumber Type: realMissing Value Code:Attribute Name:FormylmethanofuranAttribute Label:FormylmethanofuranAttribute Definition:Summed total relative expression of genes associated with formylmethanofuranStorage Type:floatMeasurement Scale:Units: dimensionlessNumber Type: realMissing Value Code:Attribute Name:Nitrite_reductasesAttribute Label:Nitrite reductasesAttribute Definition:Summed total relative expression of genes associated with nitrite reductasesStorage Type:floatMeasurement Scale:Units: dimensionlessNumber Type: realMissing Value Code:Attribute Name:CellobiosidaseAttribute Label:CellobiosidaseAttribute Definition:Summed total relative expression of genes associated with cellobiosidasesStorage Type:floatMeasurement Scale:Units: dimensionlessNumber Type: realMissing Value Code:Attribute Name:GlucosidaseAttribute Label:GlucosidaseAttribute Definition:Summed total relative expression of genes associated with glucosidasesStorage Type:floatMeasurement Scale:Units: dimensionlessNumber Type: realMissing Value Code:Attribute Name:XylosidaseAttribute Label:XylosidaseAttribute Definition:Summed total relative expression of genes associated with xylosidasesStorage Type:floatMeasurement Scale:Units: dimensionlessNumber Type: realMissing Value Code:Attribute Name:Phenol_OxidaseAttribute Label:Phenol OxidaseAttribute Definition:Summed total relative expression of genes associated with phenol oxidasesStorage Type:floatMeasurement Scale:Units: dimensionlessNumber Type: realMissing Value Code:Attribute Name:Alkaline_phosphataseAttribute Label:Alkaline phosphataseAttribute Definition:Summed total relative expression of genes associated with alkaline phosphatasesStorage Type:floatMeasurement Scale:Units: dimensionlessNumber Type: realMissing Value Code:Attribute Name:Acid_PhosphataseAttribute Label:Acid PhosphataseAttribute Definition:Summed total relative expression of genes associated with acid phosphatasesStorage Type:floatMeasurement Scale:Units: dimensionlessNumber Type: realMissing Value Code:Attribute Name:k.ddAttribute Label:k.ddAttribute Definition:leaf litter breakdown rate per degree dayStorage Type:floatMeasurement Scale:Units: k.ddNumber Type: realMissing Value Code:NA (Soil and periphyton samples have no breakdown rate as they were environmental samples and not deployed leaf litter.)Attribute Name:SalinityAttribute Label:SalinityAttribute Definition:water salinityStorage Type:floatMeasurement Scale:Units: PSUPrecision: 0.1
Number Type: realMissing Value Code:Attribute Name:TPAttribute Label:TPAttribute Definition:Total phosphorus in the water columnStorage Type:floatMeasurement Scale:Units: micromolePerLiterPrecision: 0.01
Number Type: realMissing Value Code:
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Data Table: Transcriptomic gene expression from deployed litter samples, soil samples, and periphyton samples.
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MethodsMethod Step
Description
For each site and litter pair we collected a subset of 2-3 g wet mass of litter, a grab sample of soil, and a grab sample of periphyton for each site. All subsamples were preserved at -20°C until extraction, which took place up to a year after initial collection. Samples were sent to Novogene (Novogene Co. Ltd., Beijing, China) for the total RNA extraction followed by metatranscriptome sequencing. Briefly, the total RNA was extracted using TRIzol reagent (Rio et al. 2010) and the quality and quantity of the RNA were assessed using the Agilent 2100 bioanalyzer (Agilent Technologies, Santa Clara, CA, USA) and Nanodrop ND-1000 (ThermoScientific, Waltham, MA, USA), respectively. After the total RNA samples passed the quality check, cDNA libraries were prepared from total RNA using poly(A) enrichment of the mRNA to remove rRNA resulting in the construction of 250-300 bp insert cDNA libraries and sequenced by paired-end (PE) sequencing (PE 2 × 150 bp) using an Illumina NovaSeq 6000 platform (NovaSeq Reagent Kits, Illumina, Inc., San Diego, CA, USA).
Raw reads were processed using the Simple Annotation of Metatranscriptomes by Sequence Analysis 2.0 (SAMSA2) pipeline (Westreich et al. 2018) with slight modification. Briefly, low quality bases were trimmed using Trimmomatic v0.39 (Bolger et al. 2014) and overlapping paired-end reads were merged into single sequences using PEAR v0.9.11 (Zhang et al. 2014). Ribosomal RNA reads were removed with SortMeRNA v2.1 (Kopylova et al. 2012) and the cleaned transcripts were annotated by DIAMOND v0.9.36 (Buchfink et al. 2021) against the National Center for Biotechnology Information (NCBI) Reference Sequence (RefSeq) database (O'leary et al. 2016) for taxonomic and functional characterization. The resulting annotation files were aggregated and merged with custom Python and R scripts included in the SAMSA2 pipeline (Westreich et al. 2018).
We selected n = 12 genes/gene families encoding for focal enzymes to investigate which are important to the breakdown of organic matter: Dioxygenases (associated with aerobic respiration), Sulfatases (associated with the release of sulfates from complex molecules), sulfite reductases (associated with sulfite reduction), methyl coenzyme M reductase and formylmethanofuran (associated with methanogenesis), nitrite reductases (associated with nitrite reduction), cellobiosidase, glucosidase, and xylosidase (associated with cellulose breakdown), phenol oxidase (associated with lignin breakdown), acid phosphatase (associated with phosphate acquisition in acidic environments), and alkaline phosphatase (associated with phosphate acquisition in basic environments; Table 1). For each gene/family of interest, we searched all annotated transcripts for all entries corresponding to that gene/family and combined all values for a total expression.
We selected n = 6 monophyletic microbial functional groups, representing sulfate reducers, sulfate oxidizers, methane oxidizers, methanogens, nitrite oxidizers, and ammonia oxidizers associated with sulfate and methane cycling. We filtered all annotated transcripts for all species with the following in the name: in the name: ‘desulfo’ for sulfate reducers, ‘sulfito’ for sulfite oxidizers, ‘methylo’ for methyl/methane oxidizers, ‘methano’ for methanogens, ‘nitro’ for nitrite oxidizers, and ‘nitroso’ for aerobic ammonia oxidizers.
References:
Bolger, A. M., M. Lohse, and B. Usadel. 2014. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 30: 2114-2120.
Buchfink, B., K. Reuter, and H.-G. Drost. 2021. Sensitive protein alignments at tree-of-life scale using DIAMOND. Nature Methods 18: 366-368.
Kopylova, E., L. Noé, and H. Touzet. 2012. SortMeRNA: Fast and accurate filtering of ribosomal RNAs in metatranscriptomic data. Bioinformatics 28: 3211-3217.
O'leary, N. A. and others 2016. Reference sequence (RefSeq) database at NCBI: Current status, taxonomic expansion, and functional annotation. Nucleic Acids Research 44: D733-D745.
Rio, D. C., M. Ares, G. J. Hannon, and T. W. Nilsen. 2010. Purification of RNA using TRIzol (TRI reagent). Cold Spring Harbor Protocols 2010: pdb. prot5439.
Westreich, S. T., M. L. Treiber, D. A. Mills, I. Korf, and D. G. Lemay. 2018. SAMSA2: A standalone metatranscriptome analysis pipeline. BMC bioinformatics 19: 1-11.
Zhang, J., K. Kobert, T. Flouri, and A. Stamatakis. 2014. PEAR: A fast and accurate Illumina Paired-End reAd mergeR. Bioinformatics 30: 614-620.
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Distribution and Intellectual RightsOnline distribution
https://pasta.lternet.edu/package/data/eml/knb-lter-fce/1270/1/1cc3807f30fe631a87fecf117bb49b44
Intellectual Rights
This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
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KeywordsFCE LTER, LTER, Florida Coastal Everglades LTER, microbes, decomposition, litter decomposition, disturbance
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Dataset Contact
- Position: Information Manager
- Organization: Florida Coastal Everglades LTER
- Address: Florida International University
11200 SW 8th Street, OE 148
Miami, FL 33199 USA - Email: fcelter@fiu.edu
- URL: https://fcelter.fiu.edu
- Name: Kenneth Anderson
- Position: Post-doctoral Scholar
- Organization: Kent State University
- Email: kanderson624@gmail.com
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Data Table and FormatData Table: Transcriptomic gene expression from deployed litter samples, soil samples, and periphyton samples.Entity Name:FCE1270_FocalGenedataEntity Description:Transcriptomic gene expression from deployed litter samples, soil samples, and periphyton samples.Object Name:FCE1270_FocalGenedata.csvNumber of Header Lines:1Attribute Orientation:columnField Delimiter:,Number of Records:66
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Metadata Provider
- Organization: Florida Coastal Everglades LTER
- Address: Florida International University
11200 SW 8th Street, OE 148
Miami, FL 33199 USA - Phone: 305-348-6054
- Email: fcelter@fiu.edu
- URL: https://fcelter.fiu.edu
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Project permitsEVER-2019-SCI-0055