Dataset: Samples Sequenced for Metabarcoding
Data Citation:
Hamsher, S., Casamatta, D., Biddanda, B. (2023) Cyanobacterial and diatom samples collecteced between April and September 2022, and sequenced for metabarcodig of 16S and rbcL. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-10-19 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.911441.1 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.
DOI:10.26008/1912/bco-dmo.911441.1
Spatial Extent: N:45.1984 E:-81.2084 S:29.6317 W:-83.456
Temporal Extent: 2022-04-25 - 2022-09-16
Principal Investigator:
Bopaiah Biddanda (Grand Valley State University, GVSU)
Co-Principal Investigator:
Dale Casamatta (University of North Florida, UNF)
Sarah Hamsher (Grand Valley State University, GVSU)
Student:
Davis Fray (Grand Valley State University, GVSU)
Callahan McGovern (University of North Florida, UNF)
BCO-DMO Data Manager:
Karen Soenen (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Version:
1
Version Date:
2023-10-19
Restricted:
No
Validated:
Yes
Current State:
Final no updates expected
Cyanobacterial and diatom samples collecteced between April and September 2022, and sequenced for metabarcodig of 16S and rbcL.
Abstract:
These data are the sample information for each of the samples collected for metabarcoding of 16S and rbcL to describe Cyanobacterial and diatom diversity, respectively, in three sites in Alpena, Michigan, one site in Monroe, Michigan, and one site in Palm Coast, Florida. Sample data are for sequenced samples and include their associated water parameter information that was collected simultaneously.
Each of these sites are high-sulfur, low-oxygen environments formed by underwater sinkholes and springs that create extreme habitats populated by microbial mat communities. Our study investigated previously undescribed diatom diversity in these habitats, and further explored the bacterial communities as well. Our results provide novel information on microbial mat community composition, and present evidence that microbial biogeography influences these unique communities.