bioRxiv Science⌕ Search

bioRxiv · 10.1101/531434

Distribution Pattern and Diversity Maintenance Mechanism of the Denitrifier Community in Alkaline Copper Mine Drainage

Abstract

Denitrifiers have been shown to vary in abundance and diversity across the environmental gradients; however, the factors that determine the type and magnitude of the response of the denitrifier communities remain unclear. In order to reveal the effects of alkaline mine drainage (AlkMD) on the denitrifier community composition and diversity maintenance mechanism in a tailings reservoir, we examined the diversity patterns and adaptation mechanisms of different denitrifier communities in Shibahe copper tailings water in Zhongtiaoshan, China. The results showed that the -diversity of Proteobacteria and the nosZI-bearing denitrifier community in downstream seeping water (SDSW) were the highest, while those in the upstream tailings water (STW1) were the lowest. The highest nirS and nirK-bearing denitrifier community -diversity were measured in STW1, and the lowest in STW3. The community dissimilarity of the denitrifier communities was strongly correlated with environment parameters, but the factors varied in different groups. The Proteobacteria community was correlated strongly with nitrate (NO3-); the nirS and nirK-bearing denitrifier communities were correlated strongly with pH, total carbon (TC), NO3- and ammonia nitrogen (NH4+), and the nosZI-bearing denitrifier community was correlated strongly with total organic carbon (TOC), dissolved oxygen (DO), NO3-, electroconductibility (EC) and spatial distance (PCNM1). Our results indicated that environmental changes were valuable index reflecting variations in denitrifier community composition in AlkMD. Additionally, the findings in this study are helpful in understanding the relationship between the microbial community composition changes and functional adaptation in different ecosystems. IMPORTANCEMetal mine tailings pond is an important site polluted by heavy metals and nitrogen, and excess nitrogen is mainly removed by microorganisms through denitrification. Although many studies have reported that Proteobacteria is the main denitrifying bacteria, and nirS, nirK and nosZ-bearing denitrifiers are three key functional groups in denitrification process. However, less is known of their response to discharge of alkaline copper tailings wastewater (AlkMD). AlkMD exerts an adverse impact on composition and structure of denitrifying bacteria community. The change of nitrogen and carbon concentration along the flow direction of wastewater resulted in the change of denitrifying bacteria community diversity pattern, that is to say, environmental filtering force drove the denitrifier community structure in this highly polluted ecosystem.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Liu, J., Li, C., Luo, Z., Wang, X., Bao, J., Chai, B.. 2019-01-26. Distribution Pattern and Diversity Maintenance Mechanism of the Denitrifier Community in Alkaline Copper Mine Drainage. https://doi.org/10.1101/531434

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Polyphyletic origins and lineage-specific expansion of chemosensory systems in phylum Actinomycetota

Phylum Actinomycetota (syn. Actinobacteriota or Actinobacteria), one of the largest well-studied bacterial phyla, is renowned for complex morphology, non-motility, ecological versatility, and secondary metabolite production. Chemosensory systems (CSS) are among the most sophisticated prokaryotic signal transduction architectures, yet their evolutionary distribution in this phylum remains poorly understood. Here, a comparative genomic analysis of 693 high-quality genomes spanning the phylum resolves the diversity, distribution, and evolutionary trajectories of CSS. Despite extensive genomic complexity and ecological versatility, only 6.9% of genomes encode complete CSS clusters, confined to a subset of lineages within a few classes, indicating lineage-specific retention or loss. In contrast, two-component systems (TCS) are ubiquitously abundant, with hybrid kinases enriched in CSS-deficient classes, suggesting functional compensation for the absence of dedicated chemosensory pathways. Basal lineages retain simplified CSS (F1 or F5), whereas Actinomycetes show lineage-specific expansion into multiple classes (F5, F8, F9, and ACF), often co-occurring, indicative of enhanced sensory complexity. The phylogeny of CheA homologs shows a polyphyletic distribution, supporting a mosaic evolutionary history shaped by multiple independent acquisitions, diversification, and gene loss. Collectively, our findings show that, unlike motile bacteria, members of Actinomycetota rely predominantly on TCS-driven regulatory networks, with CSS retained only in select lineages where ecological demands require enhanced environmental sensing. This work provides a phylum-wide evolutionary framework for the emergence, diversification, and functional specialization of CSS in non-motile bacteria.

microbiology↗

Integrating Microbial Ecology and Sustainability: Linking Agricultural Waste Gas Streams to Microbial Community Shifts in a Photobioreactor

Photobioreactors (PBRs) coupled to animal housing offer potential for mitigating gaseous emissions such as CO2 and NH3 while simultaneously producing biomass. Here, we present a time-resolved characterization of microbial community dynamics, with a focus on the genetic potential for carbon and nitrogen metabolism. Using a cone-shaped, helical PBR cultivating Arthrospira platensis (Spirulina) and supplied with exhaust air from a chicken house, we characterized microbial communities over continuous exhaust-air exposure and periodic biomass harvesting. Microbiome and gene-centric profiling revealed temporal variation in community composition and in the representation of genes associated with carbon and nitrogen metabolism. Cycle-based dissolved inorganic nitrogen balances showed that the decrease in dissolved inorganic nitrogen was only partially recovered in harvested biomass, while ammonia-oxidizing microorganisms were associated with structured, low-light niches. These observations indicate ammonia-oxidizing potential but do not establish a quantitatively relevant nitrification flux. Structured carrier matrices provided attached-growth niches harboring microbial populations underrepresented in the circulating suspension, while pre-colonized carriers facilitated biomass development during re-inoculation. Overall, our results show that coupling PBRs to agricultural exhaust streams can support biomass production while sustaining spatially structured microbial communities with taxonomic and functional potential. These findings may inform their further development for emission mitigation and circular biomass production.

microbiology↗

Engineered DNA materials shape microbial physiology and ecological selection

Extracellular DNA (eDNA) is both a structural component of microbial biofilms and a potential reservoir of genetic information, yet its role as an ecological material remains largely unexplored. Here we establish engineered extracellular materials as determinants of microbial physiology and community assembly across increasing biological complexity. A three-dimensional DNA hydrogel altered bacterial stress-associated responses, elicited species-dependent phenotypes and transcriptional changes in a defined consortium, and shaped community succession in wastewater-derived microbiomes. Distinct responses to surface-bound oligonucleotides reveal that DNA presentation matters beyond its mere presence. Strikingly, metagenomic sequencing identified rare, hydrogel-specific candidate junctions linking material-derived DNA to microbial genomic sequences, suggesting a previously unexplored interface between extracellular DNA materials and microbial genetic information. These findings reveal a dual role for engineered DNA: its material organization shapes microbial physiology and ecological selection, while its encoded sequences may engage with microbial genomic processes.

microbiology↗