ArticleThe ISME journal2022
Microbial carbon, sulfur, iron, and nitrogen cycling linked to the potential remediation of a meromictic acidic pit lake.
Article in The ISME journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 51 citations in OpenAlex.
- Quantifying the contribution of the rare biosphere and functional potential to the compacted clay baseliner of sanitary landfill.World journal of microbiology & biotechnology · 2026Article
- High-density biomass as a substrate for stimulating biosulfidogenesis in the deep layer of stratified acidic pit lakes.Applied and environmental microbiology · 2026Article
- Sulfate-reducing bacteria in acid mine drainage: ecological constraints, microbial networks, and functional persistence.Frontiers in microbiology · 2026Review
- Thermophilic and mesophilic sulfate reduction by rare biosphere bacteria in acidic metal-bearing mine wastes from the temperate climate zone.Scientific reports · 2025Article
- Metagenomic report of element-microbe synergy and xenobiotic detoxification in the sacred waters of Khecheopalri lake, Eastern Himalaya.BMC microbiology · 2025Article
- A case for absolute gene expression estimates in microbiome studies using metatranscriptomics.The ISME journal · 2025Article
- Metagenomic insights into surface sediment microbial community and functional composition along a water-depth gradient in a subtropic deep lake.Frontiers in microbiology · 2025Article
- Article
- Taxonomic and functional partitioning of Chloroflexota populations under ferruginous conditions at and below the sediment-water interface.FEMS microbiology ecology · 2024Article
- Acidophilic sulphate-reducing bacteria: Diversity, ecophysiology, and applications.Environmental microbiology reports · 2024Review
- Bacterial and Archaeal Communities in Erhai Lake Sediments: Abundance and Metabolic Insight into a Plateau Lake at the Edge of Eutrophication.Microorganisms · 2024Article
- Sulfate-reducing bacteria unearthed: ecological functions of the diverse prokaryotic group in terrestrial environments.Applied and environmental microbiology · 2024Review
- Reversed oxidative TCA (roTCA) for carbon fixation by an Acidimicrobiia strain from a saline lake.The ISME journal · 2024Article
- Nutrient structure dynamics and microbial communities at the water-sediment interface in an extremely acidic lake in northern Patagonia.Frontiers in microbiology · 2024Article
- Enrichment of acid-tolerant sulfide-producing microbes from an acidic pit lake.Frontiers in microbiology · 2024Article
- Eukaryotic Community Structure and Interspecific Interactions in a Stratified Acidic Pit Lake Water in Anhui Province.Microorganisms · 2023Article
- Non-charismatic waterbodies and ecosystem disservices: Mine pit lakes are underrepresented in the literature.Frontiers in microbiology · 2022Review
- An overview of experimental simulations of microbial activity in early Earth.Frontiers in microbiology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cueva de la Mora is a permanently stratified acidic pit lake and a model system for extreme acid mine drainage (AMD) studies. Using a combination of amplicon sequencing, metagenomics and metatranscriptomics we performed a taxonomically resolved analysis of microbial contributions to carbon, sulfur, iron, and nitrogen cycling. We found that active green alga Coccomyxa onubensis dominated the upper layer and chemocline. The chemocline had activity for iron(II) oxidation carried out by populations of Ca. Acidulodesulfobacterium, Ferrovum, Leptospirillium, and Armatimonadetes. Predicted activity for iron(III) reduction was only detected in the deep layer affiliated with Proteobacteria. Activity for dissimilatory nitrogen cycling including nitrogen fixation and nitrate reduction was primarily predicted in the chemocline. Heterotrophic archaeal populations with predicted activity for sulfide oxidation related to uncultured Thermoplasmatales dominated in the deep layer. Abundant sulfate-reducing Desulfomonile and Ca. Acidulodesulfobacterium populations were active in the chemocline. In the deep layer, uncultured populations from the bacterial phyla Actinobacteria, Chloroflexi, and Nitrospirae contributed to both sulfate reduction and sulfide oxidation. Based on this information we evaluated the potential for sulfide mineral precipitation in the deep layer as a tool for remediation. We argue that sulfide precipitation is not limited by microbial genetic potential but rather by the quantity and quality of organic carbon reaching the deep layer as well as by oxygen additions to the groundwater enabling sulfur oxidation. Addition of organic carbon and elemental sulfur should stimulate sulfate reduction and limit reoxidation of sulfide minerals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.