Evidence map›Paper›PMID 42200660›Full record

ArticleApplied and environmental microbiology2026

Leaf- and root-associated bacterial communities differ in their resistance and resilience to N disturbance in a temperate steppe.

Chunyan Guo, An Yang, Xueqing Zhang, Wenming Bai, Wen-Hao Zhang

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Chunyan Guo *Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0001-8915-5903
An Yang *Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0003-4227-8580
Xueqing ZhangKey Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
Wenming BaiKey Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0003-2127-6770
Wen-Hao ZhangKey Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.ORCID 0000-0003-2708-2221

Funding

National Key Research and Development Program of China 2022YFF1302800
6 · The paper itself

Abstract

Enhanced deposition of nitrogen (N) has great impacts on grassland ecosystems. A decline in N deposition has occurred in many regions across the globe. Changes in N deposition alter the structure and functions of grassland ecosystems and bacterial community of soil and rhizosphere. However, the responses of plant microbiomes to N deposition and cessation of N input in terms of resistance and resilience have not been systematically evaluated. We examined the effects of N addition and cessation of N addition on leaf- and root-associated bacterial communities through a consecutive N addition and cessation of N addition experiment in a temperate grassland. We found that leaf-associated bacterial community exhibited lower resistance to N enrichment than root-associated bacterial community, which was mainly steered by leaf soluble sugars and leaf morphology

Indexed as

BacteriaGrasslandMicrobiotaNitrogenPlant LeavesPlant RootsSoil MicrobiologyNitrogenleaf- and root-associated bacterial communitiesN addition and cessation of N additionplant functional traitsresistance and resiliencetemperate grasslands

Identifiers

PMID42200660
PMCPMC13289719

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.