Evidence map›Paper›PMID 42106559›Full record

ArticleCommunications biology2026

Biogeography and community stability of leaf endophytic diazotrophs in mangrove Kandelia obovata.

Qinghua Hou, Rajapakshalage Thashikala Nethmini, Feng Qi, Lianghao Pan, Xiaofang Shi, Laizhen Huang, Qing He, Qingxiang Chen, Xiaolei Li, Gonglingxia Jiang and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

12 authors.

Qinghua HouKey Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Department of Oceanography, Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong, China.
Rajapakshalage Thashikala NethminiKey Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Department of Oceanography, Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong, China.
Feng QiSchool of Life & Environmental Sciences, Guilin University of Electronic Technology, Guilin, Guangxi, China.
Lianghao PanGuangxi Academy of Marine Sciences (Guangxi Mangrove Research Center), Guangxi Key Lab of Mangrove Conservation and Utilization, Guangxi Academy of Sciences, Beihai, Guangxi, China.
Xiaofang ShiGuangxi Academy of Marine Sciences (Guangxi Mangrove Research Center), Guangxi Key Lab of Mangrove Conservation and Utilization, Guangxi Academy of Sciences, Beihai, Guangxi, China.
Laizhen HuangKey Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Department of Oceanography, Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong, China.
Qing HeKey Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Department of Oceanography, Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong, China.
Qingxiang ChenKey Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Department of Oceanography, Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong, China.
Xiaolei LiKey Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Department of Oceanography, Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong, China.
Gonglingxia JiangKey Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Department of Oceanography, Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong, China.
Dong KeDepartment of Biological Sciences, Kyonggi University, 154-42, Gwanggyosan-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, 16227, Republic of Korea.
Nan LiKey Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong Province, Department of Oceanography, Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang, Guangdong, China. nli0417@163.com.ORCID http://orcid.org/0000-0003-1782-6610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The leaf endosphere hosts diazotrophs vital for plant health and ecosystem resilience in saline environments. However, the geographic pattern and stability of the diazotrophic community in coastal salt marshes ecosystems are poorly understood. In this study, we examine the biogeographic distribution, assembly processes and community stability of leaf endophytic diazotrophs in the mangrove species Kandelia obovata across multiple regions in China. Our findings reveal that Rhizobiales are the most abundant in the diazotrophic communities. Community assembly is largely governed by stochastic processes, with dispersal limitations playing a dominant role. Soil nutrients emerge as the dominant factor influencing diazotroph composition, surpassing climatic variables and host traits. Notably, soil total sulfur (TS) serves as a key environmental factor shaping the diazotrophic community structure, with low TS environments supporting more stable microbial networks. These findings reveal ecological drivers and adaption strategies of endophytic diazotrophic communities in mangrove ecosystems, emphasizing the influence of nutrients dynamics in leaf endophytic microbial assembly under environmental changes.

Indexed as

EndophytesNitrogen FixationPlant LeavesRhizophoraceaeChinaSoil MicrobiologyWetlands

Identifiers

PMID42106559
PMCPMC13376561

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.