Joshua Sackett's Ph.D. Dissertation Appendices S3.1, S4.1, and S5.1.

Published: 05-12-2018| Version 1 | DOI: 10.17632/j6kc9n4hwn.1
Contributor:
Joshua Sackett

Description

This dataset contains all unpublished appendices described in Joshua Sackett's Ph.D. dissertation (Appendices S3.1, S4.1, and S5.1). For a full description and analysis of these data, please consult Joshua Sackett's Ph.D. dissertation entitled 'Prokaryotic Diversity and Aqueous Geochemistry of Subsurface Environments of the Death Valley Regional Flow System,' publicly available via ProQuest and/or Digital Scholarship @UNLV. File contents are as follows: Appendix S3.1. Sheet 1: Unrarefied OTU table including OTU numbers, taxonomy, and OTU counts. BLAST-assigned taxonomy was derived from the SILVA 128 reference database at 99% sequence identity (k = kingdom, p = phylum, c = class, o = order, f = family, g = genus, s = species). Sheet 2: Abundances of phyla detected in each sample. The Proteobacteria have been subdivided into classes. Appendix S4.1. Sheet 1. Average amino acid identity (%) matrix for shared proteins between all Kiritimatiellae genomes in GTDB and the four Kiritimatiellae single amplified genomes (SAGs) sequenced from BLM1. Sheet 2. Peptidase genes identified in SAG AH-151-K23. Sheet 3. Peptidase genes identified in SAG AH-147-K21. Sheet 4. Peptidase genes identified in SAG AH-151-C14. Sheet 5. Peptidase genes identified in SAG AH-151-A22. Sheet 6. RAST/IMG protein-encoding gene identification cross-reference for protein-encoding genes identified in AH-151-K23. Sheet 7. RAST/IMG protein-encoding gene identification cross-reference for protein-encoding genes identified in AH-147-K21. Sheet 8. RAST/IMG protein-encoding gene identification cross-reference for protein-encoding genes identified in AH-151-C14. Sheet 9. RAST/IMG protein-encoding gene identification cross-reference for protein-encoding genes identified in AH-151-A22. Appendix S5.1. Sheet 1: Unrarefied OTU table including OTU numbers, OTU sequences, taxonomy, and OTU counts. Sheet 2: OTU table, rarefied to a depth of 10,000 sequences per sample, including OTU numbers, OTU sequences, taxonomy, and OTU counts. Uclust-assigned taxonomy was derived from the SILVA_128 curated reference database at 97% sequence identity (k = kingdom, p = phylum, c = class, o = order, f = family, g = genus, s = species). Sheet 3: Abundances of prokaryotic phyla detected in each sample. The Proteobacteria have been subdivided into classes.

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