Evidence map›Paper›PMID 41896923›Full record

ArticleEnvironmental microbiome2026

Rare taxa enhance microbial network complexity and drive nitrification and denitrification processes in river ecosystems.

Xiaoliang Jiang, Xiang Xiong, Miaomiao Cai, Gang He, Quanfa Zhang, Wenzhi Liu

Abstract read
In one paragraph

Article in Environmental microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Xiaoliang Jiang *CAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China.
Xiang Xiong *CAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China.
Miaomiao CaiCAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China.
Gang HeCAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China.
Quanfa ZhangCAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China.
Wenzhi LiuDanjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, The Chinese Academy of Sciences, Wuhan, 430074, Hubei Province, China. liuwz@wbgcas.cn.

Funding

National Natural Science Foundation of China 32401363National Natural Science Foundation of China U24A20641Natural Science Foundation of Hubei Province 2025AFB983
6 · The paper itself

Abstract

backgroundMicrobial communities, which drive most ecological processes and functions, contain not only a few highly abundant species but also a large number of rare species. However, little is known about the relative importance of abundant and rare microorganisms to network complexity and biogeochemical cycling, especially at large spatial scales. Here, we investigated nitrifying and denitrifying communities using high-throughput sequencing of archaeal amoA and bacterial amoA, nirK, and nirS genes, and we determined nitrification and denitrification rates in channel sediments, riparian rhizosphere soils, and riparian bulk soils of 30 rivers across China.

resultsRare nitrifiers and denitrifiers exhibited broader environmental thresholds than abundant taxa. Co-occurrence network analysis revealed that all topological features (e.g., node degree and eigenvector centrality) had higher values for rare taxa than for abundant taxa. In addition, major modules (i.e., clusters of closely interconnected microbes) in the network were mainly composed of rare taxa, indicating that rare taxa play a vital role in maintaining the network complexity of nitrifying and denitrifying communities. Random forest analysis showed that nitrification rates were significantly associated only with the β-diversity of rare bacterial nitrifiers. Denitrification rates were largely influenced by the β-diversity of both rare and abundant nirK-type denitrifiers. These results suggested that rare microbial taxa play an important but previously underestimated role in biogeochemical processes.

conclusionsOverall, this study highlights that, compared with abundant taxa, rare taxa contribute more to microbial network complexity and nitrogen cycling processes in river ecosystems at the continental scale.

Indexed as

DenitrificationDiversityKeystone speciesNitrificationWetlands

Identifiers

PMID41896923
PMCPMC13151270

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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.