Evidence map›Paper›PMID 42737884›Full record

ArticleBiology2026

The Evolutionary Significance of Leaf Nodulation: Evidence from

Dan Wei, Tong-Jian Liu, Xiao-Kai Yan, Xin-Feng Wang, Ge-Han Huang, Yuan Xu, Xing Wu, Xue-Jun Ge, Gang Hao, Hai-Fei Yan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology, 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

10 authors.

Dan WeiCollege of Life Sciences, South China Agricultural University, Guangzhou 510642, China.ORCID 0009-0004-4702-7857
Tong-Jian LiuState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.ORCID 0000-0002-4577-7820
Xiao-Kai YanGuangdong Nanyue Ecological Technology Co., Ltd., Guangzhou 510500, China.
Xin-Feng WangState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.ORCID 0000-0003-1323-5741
Ge-Han HuangSuzhou Customs, Suzhou 215028, China.
Yuan XuState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.
Xing WuSouth China National Botanical Garden, Guangzhou 510650, China.
Xue-Jun GeState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.
Gang HaoCollege of Life Sciences, South China Agricultural University, Guangzhou 510642, China.
Hai-Fei YanState Key Laboratory of Plant Diversity and Specialty Crops, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.ORCID 0000-0002-5692-9391

Funding

Guangdong Flagship Project of Basic and Applied Basic Research 2023B0303050001National Natural Science Foundation of China 32470223
6 · The paper itself

Abstract

Interactions between plants and microorganisms have long been a central topic in biological research. Bacterial symbiosis on leaf surfaces represents a distinctive and mutually beneficial system within the phyllosphere microbiome. Leaf nodules are the visible manifestation of the symbiosis and confer ecological advantages to host plants by enhancing host resistance against pathogens and herbivores. It has been hypothesized that these advantages promote higher diversification rates in host lineages, but this remains uncertain.

Indexed as

diversification rateleaf nodulephyllosphere microbiomesymbiosis

Identifiers

PMID42737884
PMCPMC13564548

What OpenQuestion holds

Textmetadata
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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.