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. 2022 Jan 3;12:533121. doi: 10.3389/fmicb.2021.533121

Table 3.

Mean abundance by lake type and relationships between chemistry variables for ASVs identified as significantly (p < 0.05) contributing to at least 70% of the early summer community dissimilarity between alpine and subalpine lakes.

Lowest taxonomic resolution Mean no. reads
Visit 1
DOC pH chl-a TDN
Alpine Subalpine Visit 1 Visit 2 Visit 1 Visit 2 Visit 1 Visit 2 Visit 1 Visit 2
Alpine-associated ASVs
Acinetobacter bereziniae
ASV_288
17.87 0 0.003*
r = −0.70
- - - - - - -
Oxalobacteraceae
ASV_250
24.63 3.38 0.023*
r = −0.56
- - - - - 0.042*r = −0.48 -
Flavobacterium sp.
ASV_122
49.88 4.38 0.058 - - - - - 0.073 -
Piscinibacter sp.
ASV_74
67.35 21.75 0.027*
r = −0.55
- - - - 0.004*
r = 0.67
- -
Caulobacter sp.
ASV_47
102.63 35.88 0.017*
r = −0.59
- 0.033*
r = −0.54
0.010*
r = −0.63
- - 0.014*r = −0.60 -
Pedobacter sp.
ASV_82
88.0 8.5 0.002*
r = −0.71
- - - - 0.058 - -
NS11-12 marine group
ASV_20
151.0 31.38 0.024*
r = −0.56
0.021*
r = −0.57
- - - - - -
Subalpine-associated ASVs
**Microtrichales
ASV_131
4.13 25.63 - 0.073 - 0.020*
r = −0.58
- - - -
NS9 marine group
ASV_100
0 32.38 0.010*
r = 0.62
- - - - - - -
Polynucleobacter asymbioticus
ASV_4
149.25 308.38 - - - - - - - -
Pseudarcicella sp.
ASV_1
295.88 752.25 - - - - < 0.001*
r = −0.75
- - -
**

ASV_131, the member of Microtrichales, was the only ASV to not also be correlated to lake type (p > 0.05, Kruskal-Wallis rank sum test).

Also included are the mean number of reads per lake type on the early summer visit (Visit 1) and the p values and correlation coefficients for select chemistry variables. The chemistry variables shown include those that were found to significantly contribute to community dissimilarity (through envfit analysis) and include dissolved organic carbon (DOC), pH, chlorophyll-a (chl-a), and total dissolved nitrogen (TDN). Values of p < 0.1 are noted and those with *significant values at the p < 0.05 level are starred and printed in red.