Additional file 1 of Aerobic anoxygenic phototrophs play important roles in nutrient cycling within cyanobacterial Microcystis bloom microbiomes
Creators: name: Cai, Haiyuan
name: McLimans, Christopher J.
name: Jiang, Helong
name: Chen, Feng
name: Krumholz, Lee R.
name: Hambright, K. David
Publisher: name: figshare
Year: 2024
Subjects: subject: Microbiology
subject: FOS: Biological sciences

description: Additional file 1: Fig. S1. Map of Lake Taihu and the sampling sites at Meiliang Bay and Zushan Bay, and Taihu Laboratory for Lake Ecosystem Research (TLLER). Fig. S2. Linear relationship between concentrations of DOC and Chl a of water samples in Lake Taihu. Data are based on 8 samples from site 1 at Meiliang Bay in September 2018. Fig. S3. Diel variation of DO and pH during a Microcystis bloom. Samples were collected from 51 site 1 in Meiliang Bay, Taihu, over a 24-h period from 10 to 10 AM on 10–11 August and 10–11 October 2018. Data are mean ± standard deviation (SD) (n = 3). Fig. S4. Alpha- and beta-diversity of samples from Lake Taihu. Free-living communities are displayed in blue and aggregate communities in orange. PD faith is used as an index for alpha diversity (A). Significant differences between the groups are indicated with asterisks (***p &lt; 57 0.001). For beta-diversity (B), PCoA plot of the weighted UniFrac measures is shown. The x- and y-axes represent the first and second principal coordinates with the proportion of variance. Both diversity measures show significant differences between free-living and aggregate 60 communities. Fig. S5. Relative abundances of AAP bacterial genera in non-cyanobacterial communities in bloom samples from Lake Taihu (A) and ten global lakes (B). The sample IDs in Lake Taihu are shown in Table S1. Fig. S6. Relationships between gene abundance of anoxygenic photosystem pathways and important C, N, S, and P cycling pathways. Instead of using genes from MAGs, genes were derived from contigs co-assembled by metaSPAdes v3.15.4 using the metagenome data from each lake with Microcystis reads removed. Two biological replicates were obtained for each sample. Gene identification, annotation, and KO (KEGG Orthology) analysis were described in the text. Then reads of the ten lake metagenomes were mapped to genes derived from the contigs, and calculated GPMs. The GPMs were the input to calculate the relative abundance of pathways of each metagenome using formulae suggested by DiTing v0.9 [5]. Table S1. Collection date, location, sample type, and accession information for Lake Taihu 22 samples. Table S2. Source, location, date of collection and accession information for Lake Erie and Taihu transcriptome samples. Table S3. Taxonomic, completeness and contamination data for non-redundant microbiome MAGs. Table S4. Diel Bloom transcriptomes from Lake Erie. Table S5. Environmental variables of Meiliang Bay (M) and Zushan Bay (Z) in Lake Taihu. Chl a concentrations indicated that the 38 Microcystis bloom grew rapidly peaking between August and September, and the bloom began to decline in October. The pH in bloom 39 samples (from August to October) ranged from 8.0 to 10.0. The mass ratios of total nitrogen (TN) to total phosphorus (TP) ranged from 40 6.7 to &gt; 31.8, but were lowest in the months of summer and fall, suggesting the Microcystis bloom was potentially N-limited.