Evidence map›Paper›PMID 34141209›Full record

ArticleEcology and evolution2021

Tree diversity and functional leaf traits drive herbivore-associated microbiomes in subtropical China.

Yi Li, Douglas Chesters, Ming-Qiang Wang, Tesfaye Wubet, Andreas Schuldt, Perttu Anttonen, Peng-Fei Guo, Jing-Ting Chen, Qing-Song Zhou, Nai-Li Zhang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2021. 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
0.6field-weighted citation impact, top 30% of its field
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, 4 citations in OpenAlex.

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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

14 authors at 6 institutions in 2 countries.

Yi LiKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China.
Douglas ChestersKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China.ORCID https://orcid.org/0000-0001-7352-5770
Ming-Qiang WangKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China.ORCID https://orcid.org/0000-0002-3175-2200
Tesfaye WubetDepartment of Community Ecology Helmholtz Centre for Environmental Research Halle/Saale Germany.
Andreas SchuldtForest Nature Conservation Georg-August-University Göttingen Göttingen Germany.
Perttu AnttonenInstitute of Biology/Geobotany and Botanical Garden Martin Luther University Halle-Wittenberg Halle Germany.
Peng-Fei GuoKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China.
Jing-Ting ChenKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China.
Qing-Song ZhouKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China.
Nai-Li ZhangResearch Center of Forest Management Engineering of State Forestry and Grassland Administration Beijing Forestry University Beijing China.
Ke-Ping MaCollege of Biological Sciences University of Chinese Academy of Sciences Beijing China.
Helge BruelheideInstitute of Biology/Geobotany and Botanical Garden Martin Luther University Halle-Wittenberg Halle Germany.ORCID https://orcid.org/0000-0003-3135-0356
Chun-Sheng WuKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China.
Chao-Dong ZhuKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China.ORCID https://orcid.org/0000-0002-9347-3178
Chinese Academy of Sciences · CNGerman Centre for Integrative Biodiversity Research · DEBeijing Forestry University · CNHelmholtz Centre for Environmental Research · DEUniversity of Göttingen · DEYunnan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herbivorous insects acquire microorganisms from host plants or soil, but it remains unclear how the diversity and functional composition of host plants contribute to structuring herbivore microbiomes. Within a controlled tree diversity setting, we used DNA metabarcoding of 16S rRNA to assess the contribution of Lepidoptera species and their local environment (particularly, tree diversity, host tree species, and leaf traits) to the composition of associated bacterial communities. In total, we obtained 7,909 bacterial OTUs from 634 caterpillar individuals comprising 146 species. Tree diversity was found to drive the diversity of caterpillar-associated bacteria both directly and indirectly via effects on caterpillar communities, and tree diversity was a stronger predictor of bacterial diversity than diversity of caterpillars. Leaf toughness and dry matter content were important traits of the host plant determining bacterial species composition, while leaf calcium and potassium concentration influenced bacterial richness. Our study reveals previously unknown linkages between trees and their characteristics, herbivore insects, and their associated microbes, which contributes to developing a more nuanced understanding of functional dependencies between herbivores and their environment, and has implications for the consequences of plant diversity loss for trophic interactions.

Indexed as

16S rRNABacteriaBEF‐Chinaherbivore‐associated microbiomeleaf characteristicsLepidopteraMicrobial ecology

Identifiers

PMID34141209
PMCPMC8207151
OpenAlexW3150315126

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.