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Supplemental Information

Figure S1. Multilocus sequence analysis (MLSA) phylogenetic reconstruction of the Cyanobacteria phylum

Tree was constructed though ML using the Dayhoff+G likelihood model by RaxML tool. Tree was inferred from a set of conserved marker genes of 100 genomes. The numbers at the nodes indicate bootstrap values as percentages greater than 50 %. Bootstrap tests were conducted with 1,000 replicates. The unit of measure for the scale bars is the number of nucleotide substitutions per site. The Gloeobacter violaceus PCC 7421 sequence was designated as outgroup.

DOI: 10.7287/peerj.preprints.2676v1/supp-1

Figure S2. Abundance and distribution of Eco clusters across freshwater metagenomes

Relative abundance of Eco-A, Eco-B and Eco-C in Caatinga biome (metagenomes, N = 8).

DOI: 10.7287/peerj.preprints.2676v1/supp-2

Figure S3. Non-metric multidimensional scaling (NMDS) analysis of the freshwater metagenomes and environmental parameters

Ordination plot of physicochemical parameters and the community structure of metagenomes from all stations. Distances of samples were used in generating the NMDS. The lengths of the lines represent the strength of the correlation. Dots indicate the metagenomes samples.

DOI: 10.7287/peerj.preprints.2676v1/supp-3

Figure S4. Non-metric multidimensional scaling (NMDS) analysis of the freshwater metagenomes and Eco clusters

Ordination plot of Eco clusters and the community structure of metagenomes from all stations. Distances of samples were used in generating the NMDS. The lengths of the lines represent the strength of the correlation. Dots indicate the metagenomes samples.

DOI: 10.7287/peerj.preprints.2676v1/supp-4

Table S1. Estimates of genome relatedness of cyanobacterium strains

Values at the matrix indicates the intergenomic distances (i.e., evolutionary divergence between sequences). The numbers of base substitutions per site between sequences are shown. Analyses were conducted accordingly Tamura et al. (2004) method. The analysis involved 110 nucleotide sequences. All positions containing gaps and missing data were eliminated. There were a total of 759 positions in the final dataset. Evolutionary analyses were conducted in MEGA6.

DOI: 10.7287/peerj.preprints.2676v1/supp-5

Table S2. Comparison of all genomic metrics

Values of GGD, AAI, and 16S rRNA % similarity of each pair (query – closest strain) were discriminated. Cutoffs values checked out, the proposed new names were depicted in the highlighted column. Classification and the corresponding genera according to Kózlov et al. (2016) paper were detailed for comparison. Type strain or Type species are indicated as T between parentheses at the end of each name. Strains presented only with 16S rRNA sequence are indicated as “(16s)” at the end of each name.

DOI: 10.7287/peerj.preprints.2676v1/supp-6

Additional Information

Competing Interests

Fabiano Thompson and Cristiane C Thompson are Academic Editors for PeerJ.

Author Contributions

Juline M Walter conceived and designed the experiments, performed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Felipe H Coutinho conceived and designed the experiments, performed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Bas E Dutilh conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, reviewed drafts of the paper.

Fabiano Thompson conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, reviewed drafts of the paper.

Cristiane C Thompson conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, reviewed drafts of the paper.

Data Deposition

The following information was supplied regarding data availability:

Peer J repository.

Funding

This work was supported by the National Counsel of Technological and Scientific Development (CNPq), Coordination for the Improvement of Higher Education Personnel (CAPES), and the Rio de Janeiro Research Foundation (FAPERJ). This paper is part of the D. Sc. requirements of JMW at the Biodiversity and Evolutionary Biology Graduate Program of the Federal University of Rio de Janeiro (UFRJ), and was developed within the Science Without Borders Program (CNPq, 207751/2014-5). We also state no conflict of interest or competing commercial interests in relation to the work. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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