2019
DOI: 10.3389/fmicb.2019.01955
|View full text |Cite
|
Sign up to set email alerts
|

Microbial Communities Associated With Passive Acidic Abandoned Coal Mine Remediation

Abstract: Acid mine drainage (AMD) is an environmental issue that can be characterized by either acidic or circumneutral pH and high dissolved metal content in contaminated waters. It is estimated to affect roughly 3000 miles of waterways within the state of Pennsylvania, with half being acidic and half being circumneutral. To negate the harmful effects of AMD, ∼300 passive remediation systems have been constructed within the state of Pennsylvania. In this study, we evaluated the microbial community structure and functi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
2

Year Published

2020
2020
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 13 publications
(9 citation statements)
references
References 77 publications
0
7
2
Order By: Relevance
“…The richness and alpha diversity of the microbial communities in this study were generally not useful metrics for distinguishing the habitat type or the effects of AMD treatment. This contrasts with Ly et al [16], who found less diverse microbial communities at sites with raw AMD. However, our beta diversity trends corresponded to the findings of Ly et al [16] in that the similarity of communities among different habitats increased with AMD impact.…”
Section: Microbial Community Compositioncontrasting
confidence: 77%
See 2 more Smart Citations
“…The richness and alpha diversity of the microbial communities in this study were generally not useful metrics for distinguishing the habitat type or the effects of AMD treatment. This contrasts with Ly et al [16], who found less diverse microbial communities at sites with raw AMD. However, our beta diversity trends corresponded to the findings of Ly et al [16] in that the similarity of communities among different habitats increased with AMD impact.…”
Section: Microbial Community Compositioncontrasting
confidence: 77%
“…Streams remediated using passive treatment for AMD have shown varying degrees of biological recovery in benthic algal and macroinvertebrate communities relative to reference streams [12][13][14]. The role of microbes in contributing to AMD has been examined [2,15]; however, the effects of AMD and remediation methods on stream bacterial communities have received less attention, especially compared to eukaryotes [16]. Nutrient cycling and organic matter processing by benthic and aqueous microbial communities are critical to stream ecosystems [17], and AMD runoff has been shown to significantly impair these processes [18][19][20].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, the coincided acquisitions of the photosystem II-type photosynthetic reaction center (RC), Calvin cycle enzymes, and carbon monoxide dehydrogenases might have conferred adaptive benefits to Acidiphilium by taking advantage of the high CO levels (∼50 ppm) in mining areas as an energy source ( 47 , 71 ) and the increasing solar luminosity for enhanced CO 2 assimilation and/or energy production ( 72 ). The methane (CH 4 ), metal sulfides, hydrogen (H 2 ), and hydrogen sulfide (H 2 S) that are present in mining areas ( 47 , 73 ) are also potential energy sources for Acidiphilium . Hydrogen (H 2 ) might be formed in AMD areas through the acid dissolution of metals and minerals, and Ni/Fe hydrogenases might exploit this as an electron donor to support chemolithotrophic growth ( 74 ).…”
Section: Discussionmentioning
confidence: 99%
“…Other additional phyla identified (,1%) were Bacteroidetes (0.51%), Chlamydiae (0.36%), Verrucomicrobia (0.22%), Spirochaetes (0.19%), Nitrospirae (0.18%) and Chlorobi (0.13%). Many authors have also revealed the presence of similar bacterial groups in AMD-impacted streams and sediments (Fan et al 2016;Ly et al 2019). The most abundant classes detected were Clostridia (20%), Bacili (16%), Alphaproteobacteria (9.3%), Planctomycetia (7.0%), Actinobacteria (6.4%) and Deltaproteobacteria (5%), while some less detected classes (,5%) were Methanobacteria (3.4%), Miscellaneous Crenarchaeota Group (2.9%), Anaerolineae (2.2%), TG3 (1.5%) and Acidimicrobiia (1.4%).…”
Section: Identification Of Taxa and Abundance Of Microbial Communitiesmentioning
confidence: 99%