ArticleScientific reports2017
Microbial functional genes elucidate environmental drivers of biofilm metabolism in glacier-fed streams.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 58 citations in OpenAlex.
- Article
- Mapping the metagenomic diversity of the multi-kingdom glacier-fed stream microbiome.Nature microbiology · 2025Article
- Autotrophy to Heterotrophy: Shift in Bacterial Functions During the Melt Season in Antarctic Cryoconite Holes.Journal of microbiology (Seoul, Korea) · 2024Article
- Elucidating the Role of Biofilm-Forming Microbial Communities in Fermentative Biohydrogen Process: An Overview.Microorganisms · 2022Review
- Periphytic biofilms-mediated microbial interactions and their impact on the nitrogen cycle in rice paddies.Eco-Environment & Health · 2022Review
- Genomic and metabolic adaptations of biofilms to ecological windows of opportunity in glacier-fed streams.Nature communications · 2022Article
- Microdiversity characterizes prevalent phylogenetic clades in the glacier-fed stream microbiome.The ISME journal · 2022Article
- Spatial patterns of benthic biofilm diversity among streams draining proglacial floodplains.Frontiers in microbiology · 2022Article
- Applying PICRUSt and 16S rRNA functional characterisation to predicting co-digestion strategies of various animal manures for biogas production.Scientific reports · 2021Article
- Soil Metagenomics Reveals Effects of Continuous Sugarcane Cropping on the Structure and Functional Pathway of Rhizospheric Microbial Community.Frontiers in microbiology · 2021Article
- Microbial community structure and functional properties in permanently and seasonally flooded areas in Poyang Lake.Scientific reports · 2020Article
- Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams.PeerJ · 2020Article
- Taxonomic structure and potential nitrogen metabolism of microbial assemblage in a large hypereutrophic steppe lake.Environmental science and pollution research international · 2019Article
- Article
- Article
- Distinct Bacterial Communities in Wet and Dry Seasons During a Seasonal Water Level Fluctuation in the Largest Freshwater Lake (Poyang Lake) in China.Frontiers in microbiology · 2019Article
- CowPI: A Rumen Microbiome Focussed Version of the PICRUSt Functional Inference Software.Frontiers in microbiology · 2018Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Benthic biofilms in glacier-fed streams harbor diverse microorganisms driving biogeochemical cycles and, consequently, influencing ecosystem-level processes. Benthic biofilms are vulnerable to glacial retreat induced by climate change. To investigate microbial functions of benthic biofilms in glacier-fed streams, we predicted metagenomes from 16s rRNA gene sequence data using PICRUSt and identified functional genes associated with nitrogen and sulfur metabolisms based on KEGG database and explored the relationships between metabolic pathways and abiotic factors in glacier-fed streams in the Tianshan Mountains in Central Asia. Results showed that the distribution of functional genes was mainly associated with glacier area proportion, glacier source proportion, total nitrogen, dissolved organic carbon, and pH. For nitrogen metabolism, the relative abundance of functional genes associated with dissimilatory pathways was higher than those for assimilatory pathways. The relative abundance of functional genes associated with assimilatory sulfate reduction was higher than those involved with the sulfur oxidation system and dissimilatory sulfate reduction. Hydrological factors had more significant correlations with nitrogen metabolism than physicochemical factors and anammox was the most sensitive nitrogen cycling pathway responding to variation of the abiotic environment in these glacial-fed streams. In contrast, sulfur metabolism pathways were not sensitive to variations of abiotic factors in these systems.
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