Evidence map›Paper›PMID 40665232›Full record

ArticleBMC microbiology2025

Environmental stressors drive fungal community homogenization and diversity loss in plateau freshwater lakes.

Kai Fang, Zheng-Quan Zhang, Hong-Wei Shen, Yong-Zhong Lu, Lin Yang, Zong-Long Luo

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kai FangCollege of Agriculture and Biological Science, Dali University, Dali, Yunnan, 671003, China.
Zheng-Quan ZhangCollege of Agriculture and Biological Science, Dali University, Dali, Yunnan, 671003, China.
Hong-Wei ShenCollege of Agriculture and Biological Science, Dali University, Dali, Yunnan, 671003, China.
Yong-Zhong LuSchool of Food and Pharmaceutical Engineering, Guizhou Institute of Technology, Guiyang, Guizhou, 550003, China.
Lin YangCollege of Agriculture and Biological Science, Dali University, Dali, Yunnan, 671003, China.
Zong-Long LuoCollege of Agriculture and Biological Science, Dali University, Dali, Yunnan, 671003, China. luozonglongfungi@163.com.

Funding

Foundation of Yunnan Province Science and Technology Department 202305AM070003High-Level Talents Program of Yunnan Province YNQR-QNRC-2020-113National Natural Science Foundation of China 32060005Yunnan Fundamental Research Project 202201AW070001
6 · The paper itself

Abstract

backgroundFungi play a crucial role in aquatic ecosystems by driving nutrient cycling, organic matter decomposition, and water purification. However, the diversity and community structure of aquatic fungi, particularly in plateau freshwater lakes, remain underexplored. This study used high-throughput sequencing to investigate fungal communities in three plateau lakes (Chenghai, Erhai, and Lugu) with varying water quality, focusing on how environmental factors shape community composition.

resultsSignificant differences in fungal α-diversity and community structure were observed across the lakes. Chenghai Lake, with the poorest water quality, exhibited the lowest fungal diversity and a more homogenized community structure. Reduced diversity was associated with elevated salinity, pH, total dissolved solids (TDS), potassium (K), and nitrate (NO₃⁻), while the fungal community structure was influenced by both geographic and physicochemical factors. Saprotrophic fungi were the most predominant functional guild across all lakes. Geographical factors, particularly altitude, positively influenced the richness and abundance of all fungal functional guilds, while most physicochemical factors showed negative associations, with exceptions like NH₃-N and DO. The fungal network in Erhai Lake, characterized by higher complexity and connectivity, showed features consistent with an enhanced capacity for buffering against environmental fluctuations. In contrast, the simpler network structures in Chenghai and Lugu Lakes suggested greater resistance, maintaining stability through reduced sensitivity to environmental change. All three lakes exhibited predominantly positive correlations among fungal species, with Lugu Lake showing the highest proportion, potentially reflecting enhanced cooperative interactions under nutrient-limited conditions.

conclusionsThese findings highlight the strong dependence of aquatic fungal communities on environmental conditions, suggesting their potential as bioindicators for water quality. Variations in fungal co-occurrence patterns imply different adaptive strategies across lakes. Further research is needed to validate these findings and explore the broader applicability of fungal networks in environmental health monitoring.

Indexed as

BiodiversityFresh WaterFungiLakesMycobiomeChinaHigh-Throughput Nucleotide SequencingCommunity compositionCo-occurrence networksEnvironmental factorsFunctional guildsFungal diversity

Identifiers

PMID40665232
PMCPMC12261782

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.