2021
DOI: 10.3390/microorganisms9020355
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Landscape Setting Drives the Microbial Eukaryotic Community Structure in Four Swedish Mountain Lakes over the Holocene

Abstract: On the annual and interannual scales, lake microbial communities are known to be heavily influenced by environmental conditions both in the lake and in its terrestrial surroundings. However, the influence of landscape setting and environmental change on shaping these communities over a longer (millennial) timescale is rarely studied. Here, we applied an 18S metabarcoding approach to DNA preserved in Holocene sediment records from two pairs of co-located Swedish mountain lakes. Our data revealed that the microb… Show more

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Cited by 10 publications
(4 citation statements)
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“…High-throughput sequencing technology is widely adopted for profiling the structure and diversity of microbial communities [1][2][3][4][5][6]. However, the results in different studies are not consistent and comparable as all processing steps from sampling to data analysis may introduce bias [7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…High-throughput sequencing technology is widely adopted for profiling the structure and diversity of microbial communities [1][2][3][4][5][6]. However, the results in different studies are not consistent and comparable as all processing steps from sampling to data analysis may introduce bias [7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…However, there are many studies on microeukaryote communities in surface freshwater habitats, in lakes and rivers. Mostly phytoplankton, ciliates, dinoflagellates, and algae are found in surface water surveys [ 26 , 27 , 28 ], while fungi, Metazoa, Ciliophora, Cercozoa, and Amoebozoa are detected in groundwater studies [ 12 , 29 , 30 ]. The higher species richness in surface habitats is likely linked to the presence of sunlight and photosynthetic microorganisms which are absent in the dark subsurface ecosystems driven by chemosynthesis, as well as higher organic matter availability in surface systems given the direct link to terrestrial matter [ 31 , 32 ].…”
Section: Discussionmentioning
confidence: 99%
“…Finally, we controlled community composition for all PCR replicates using ordination plots based on nonmetric multidimensional scaling (NMDS) with the metaDMS function of the R-package "vegan" (Oksanen et al, 2022) with seed number 25 (Bray-Curtis dissimilarity). We removed one replicate from the Cya_400 dataset because of a lack of similarity with other PCR replicates of the same sample (Capo et al, 2021;Foulquier et al, 2023;Lopes et al, 2020). Additionally, the last two samples were discarded for community analyses because of a low read number and a high dissimilarity between sample replicates.…”
Section: Cleaningmentioning
confidence: 99%