2021
DOI: 10.3389/fmicb.2021.647861
|View full text |Cite
|
Sign up to set email alerts
|

Nutrient Exposure Alters Microbial Composition, Structure, and Mercury Methylating Activity in Periphyton in a Contaminated Watershed

Abstract: The conversion of mercury (Hg) to monomethylmercury (MMHg) is a critical area of concern in global Hg cycling. Periphyton biofilms may harbor significant amounts of MMHg but little is known about the Hg-methylating potential of the periphyton microbiome. Therefore, we used high-throughput amplicon sequencing of the 16S rRNA gene, ITS2 region, and Hg methylation gene pair (hgcAB) to characterize the archaea/bacteria, fungi, and Hg-methylating microorganisms in periphyton communities grown in a contaminated wate… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 9 publications
(2 citation statements)
references
References 81 publications
0
2
0
Order By: Relevance
“…Additionally, we used co-occurrence analyses to detect hub (i.e., highly connected) ASVs that may be important for shaping temporal variation in the Populus microbiome through putative species interactions ( 25 , 114 ). First, we separately filtered six non-subsampled ASV tables (bacteria/archaea and fungi in leaf endosphere, root endosphere, and rhizosphere) by removing ASVs present in ˂20% of samples to reduce the detection of spurious associations.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Additionally, we used co-occurrence analyses to detect hub (i.e., highly connected) ASVs that may be important for shaping temporal variation in the Populus microbiome through putative species interactions ( 25 , 114 ). First, we separately filtered six non-subsampled ASV tables (bacteria/archaea and fungi in leaf endosphere, root endosphere, and rhizosphere) by removing ASVs present in ˂20% of samples to reduce the detection of spurious associations.…”
Section: Methodsmentioning
confidence: 99%
“…This produced one cross-domain network for each plant-associated habitat. We classified hub ASVs as those ≥90th percentile for both degree and betweenness centrality ( 25 , 114 ), and filtered them to include hub ASVs that also belonged to core communities and accounted for ≥0.1% of sequences in their respective plant-associated habitat.…”
Section: Methodsmentioning
confidence: 99%