Dataset Available

Quantifying denitrifier functional marker gene abundance from sediments associated with co-occurring Avicennia sp. and Spartina sp. in Chandeleur Islands salt marsh seven and eight years post Deepwater Horizon from 2017-05-30 to 2018-06-13

Authors: Patrice Crawford, Nikaela Flournoy
Published On: Oct 31 2019 16:40 UTC
DOI: https://doi.org/10.7266/T9N52Q58
UDI: R4.x262.000:0054
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Project Information

Funded By:
Gulf of Mexico Research Initiative

Funding Cycle:
RFP-IV

Research Group:
Alabama Center for Ecological Resilience (ACER)

Point of Contact

Patricia Sobecky
The University of Alabama / Department of Biological Sciences
psobecky@ua.edu

Data Collection Period
2017-05-30
to
2018-06-13
Theme keywords

functional marker genes, Spartina sp., Avicennia sp., salt marsh, long-term oil exposure, denitrification

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Abstract:

This dataset was generated from a study in which sediments were collected from Chandeleur Islands salt marshes to examine the effect of oil exposure on denitrifier functional abundance within sediments associated with Avicennia sp. and Spartina sp. Genomic DNA was extracted from the top 0-7cm of sediment cores at five time points over the course of 2 years (2017-2018) from two salt marsh sampling sites at the Chandeleur Islands. Additional data from this study can be found under GRIIDC Unique Dataset Identifier (UDI): R4.x262.000:0052 (DOI: 10.7266/4BSSB0AZ).

Suggested Citation:

Patrice Crawford, Nikaela Flournoy. 2019. Quantifying denitrifier functional marker gene abundance from sediments associated with co-occurring Avicennia sp. and Spartina sp. in Chandeleur Islands salt marsh seven and eight years post Deepwater Horizon from 2017-05-30 to 2018-06-13. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/T9N52Q58

Purpose:

The purpose of this study was to enumerate genes involved in denitrification from sediment samples associated with Avicennia sp. and Spartina sp. from the Chandeleur Islands.

Data Parameters and Units:

Vegetation: vegetation collected, Latitude: latitude measured in decimal degree, Longitude: longitude measured in decimal degree, Site: Site where sample was collected (Please refer to GRIIDC dataset R4.x262.000:0052), Plot: Plot where sample was collected (Please refer to GRIIDC dataset R4.x262.000:0052), Collection_date: collection date in the format of mm/dd/yyyy, X16S (copies/g sediment): Copies of 16S rRNA per gram wet sediment nosZ (copies/g sediment): Gene copies of nosZ (nitrous oxide reductase) per gram wet sediment nirS (copies/g sediment): Gene copies of nirS (nitrite reductase) per gram wet sediment

Methods:

Quantitative PCR (qPCR) was performed to assess the abundance of two genes in the denitrification pathway: nirS (nitrite reductase) and nosZ (nitrous oxide reductase). For the description of methods, please refer to GRIIDC UDI R4.x262.000:0021, “Assessing the abundance of genes involved in the denitrification pathways collected in marsh and subtidal unvegetated sediments at the Chandeleur Islands, July 2015 to February 2016” (doi: 10.7266/N7154F44) by Nikaela Flournoy.

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