Evidence map›Paper›PMID 42778666›Full record

ArticleCommunications biology2026

Evolutionary dynamics of plant cell wall-degrading enzymes reflects feeding ecology in weevils.

Na Ra Shin, Roy Kirsch, Heiko Vogel, Alexander Riedel, Martin Kaltenpoth, Yannick Pauchet

Abstract read
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. 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

6 authors.

Na Ra Shin *Department of Entomology, Max Planck Institute for Chemical Ecology, Jena, Germany.
Roy Kirsch *Department of Entomology, Max Planck Institute for Chemical Ecology, Jena, Germany. rkirsch@ice.mpg.de.ORCID 0000-0002-0071-9563
Heiko VogelDepartment of Entomology, Max Planck Institute for Chemical Ecology, Jena, Germany.ORCID 0000-0001-9821-7731
Alexander RiedelMuseum of Natural History Karlsruhe, Karlsruhe, Germany.ORCID 0000-0002-8291-4425
Martin KaltenpothDepartment of Insect Symbiosis, Max Planck Institute for Chemical Ecology, Jena, Germany. kaltenpoth@ice.mpg.de.ORCID 0000-0001-9450-0345
Yannick PauchetDepartment of Entomology, Max Planck Institute for Chemical Ecology, Jena, Germany.

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) PA2808/4-1
6 · The paper itself

Abstract

Many herbivorous beetles depend on plant cell wall-degrading enzymes (PCWDEs) to access the nutritious plant cell content. However, the evolution of PCWDEs in weevils, the most diverse lineage of herbivores, remains poorly understood. Using transcriptomic and genomic analyses of 45 weevil species spanning the majority of existing subfamilies, we identified a total of 13 different PCWDE families, revealing high variability between species. Interestingly, the PCWDE repertoires tracked dietary specialization, with convergent reductions in fungivorous taxa. Furthermore, PCWDE gene family dynamics were driven by both larval and adult specialized herbivory on different plant organs. Despite this complex evolutionary history, phylogenetic analyses place core PCWDE functionalities at the base of the Phytophaga (weevils, leaf beetles, and longhorn beetles) and reveal subsequent horizontal gene transfer (HGT) events from various donors during early Phytophaga diversification. These findings demonstrate that HGTs, gene duplications, and losses shaped PCWDE diversity and facilitated the ecological success of weevils.

Indexed as

Biological EvolutionCell WallEvolution, MolecularHerbivoryPlantsWeevilsAnimalsGene Transfer, HorizontalPhylogeny

Identifiers

PMID42778666
PMCPMC13601563

What OpenQuestion holds

Textmetadata
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.