"OTU_Table_Metadata.csv" contains both the metadata for each sample (with each sample being a separate row) and the OTUs present in each sample. 


Author Information:
	A. Principal Investigator Contact Information
		Name: Jon N. Seal
		Institution: Department of Biology, The University of Texas at Tyler
		Address: Tyler, Texas, USA
		Email: trachymyrmex@gmail.com

	B. Associate or Co-investigator Contact Information
		Name: Blake Bringhurst
		Institution: Department of Biology, The University of Texas at Tyler
		Address: Tyler, Texas, USA
		Email: blake.bringhurst@gmail.com

        C. Associate or Co-investigator Contact Information
		Name: Mattea Allert
		Institution: University of Minnesota - Twin Cities
		Address: MCB 6-126, 420 Washington Avenue SE Minneapolis, MN 55455
		Email: alle0499@umn.edu
		
	D. Associate or Co-investigator Contact Information
		Name: Katrin Kellner
		Institution: Department of Biology, The University of Texas at Tyler
		Address: Tyler, Texas, USA
		Email: antkatrina@gmail.com
		
	E. Associate or Co-investigator Contact Information
		Name: Matthew Greenwold
		Institution: Department of Biology, The University of Texas at Tyler
		Address: Tyler, Texas, USA
		Email: mgreenwold@uttyler.edu


Processing:
Initial sequence cleanup was performed by removing short sequences with <150 bp, sequences with ambiguous base calls, chimeras, sequences with runs exceeding 6 bp, and singleton sequences (Dowd et al., 2008). 
The resulting sequences were then inputted into Qiime2-2020.6, after having their barcodes and linker and reverse primers removed (Bolyen et al., 2019). 
Sequences were then demultiplexed using the demux plugin (https://github.com/qiime2/q2-demux) and went through quality control using the dada2 plugin (Callahan et al., 2016). 
When using the dada2 plugin, sequences were truncated down to 260 base pairs as the average quality score dipped below 20 beyond this point. 
Taxonomy classification with 99% OTU similarity was performed utilizing the SILVA 132_QIIME database (Quast et al., 2013; Yilmaz et al., 2014). 
To do this, we created our own taxonomic classifier using the “feature-classifier fit-classifier-naive-bayes” command and the SILVA database. 
This classifier was used to assign sequences a taxonomic classification using the “feature-classifier” plugin (Bokulich et al., 2018) with the “classify-sklearn” command. 
An OTU table was created by inputting a tabulated taxonomic bar plot, created using the “taxa barplot” command, of our sequences into Qiime2 View (https://view.qiime2.org).  
OTUs that matched with chloroplast or mitochondrial sequences were manually removed from the OTU table prior to any further analyses.  


Breakdown of OTU Table:
Columns A-F contain the metadata for each sample.
"Description" contains the unique identifier given to each sample. 
"Type" determines whether the sample is from an ant, fungal garden material (Fungus), or soil sample. 
"Species" describes whether the sample is associated with T. septentrionalis and M. turrifex. 
"Location" describes the exact site the sample was taken. 
"Region" describes whether the sample was collected in East Texas (East) or Central Texas (Central). East Texas consisted of sites from Cherokee, Rusk, Smith, and Upshur county. Central Texas consisted of sites from Bastrop county.
"Clade" describes the fungal clade (B3, B4, or B5) associated with the fungal garden of each sample's colony. For the samples associated with the one colony whose fungal garden was not genotyped, the fungal clade is denoted with "*".


The columns G-AKR contain the number of sequences for the OTU, denoted in the top row, for each sample. 
The OTU label denoted in the top row contains the full taxonomic information availabe for that OTU. 
D_0__ denotes the OTU's kingdom, D_1__ denotes the OTU's phylum, D_2__ denotes the OTU's class, etc.
Columns AKS and beyond contain no data. Rows 57 and beyond contain no data.



Raw Data Location:
The raw metagenome sequences for each sample have been uploaded to NCBI under the BioProject #PRJNA789907.