ArticleFrontiers in plant science2025
Changes of soil bacterial community composition and functional groups in different altitude gradients of
Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Land use types and elevation gradients jointly influence soil bacterial community diversity and functions in the Gaoligong Mountains.BMC microbiology · 2026Article
- Soil Bacterial and Fungal Community Structure and Its Driving Factors Under Small-Scale Altitude Gradient on the Southern Slope of the Qilian Mountains.Microorganisms · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Soil properties and extracellular enzyme activities are the key factors affecting microbial communities at different altitudes. It is very important to understand their distribution patterns along the elevation gradient for predicting the function of alpine ecosystems in response to climate change, especially in alpine shrub ecosystems, which are rarely studied. Methods: In eastern Qinghai-Tibet Plateau Set up four sample plots with different altitudes (3400,3700,4000,4300 and 4300 m), Illumina I6S gene sequencing was used to analyze the changing law of soil bacterial community, and its diversity and influencing factors were discussed by combining correlation and redundancy analysis. Results: The results showed that the contents of soil total carbon, total nitrogen, water content, microbial biomass carbon, nitrogen, phosphorus and alkaline phosphatase were the highest, but the bacterial diversity was the lowest (Shannon and Pielou index); Dominant bacteria are different at different altitude gradients. Acidobacteriota is the most abundant at 3700, 4000 and 4300 m above sea level, while Verrucomicrobiota is the most abundant at 3700m above sea level; In addition, PCoA analysis showed that the community structure of soil bacteria changed significantly, with similar structures at 3700 , 4000 and 4300 m above sea level; Redundancy analysis (RDA) showed that soil properties (TC and BD) and enzyme activities (AG, BG and CBH) were the main factors affecting the bacterial community, while soil properties (TN), microbial biomass (MBC and MBN) and enzyme activities (AG and BG) all had significant effects on the functional groups of soil bacteria. Conclusion: To sum up, these results show that soil physical and chemical properties, microbial biomass, enzyme activities and bacterial communities have different responses to different altitude gradients.These studies provide a new perspective for us to deeply understand the driving factors of soil bacterial community variation along the elevation gradient. It is helpful to strengthen our awareness of the protection of Potentilla fruticosa shrub, and also provide basic information for the study of alpine ecosystem in this area.
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.