Evidence map›Paper›PMID 42274959›Full record

ArticleNeotropical entomology2026

Bacterial Diversity in Leaf-Cutter Ant Species: Host-Microbe Interactions and Environmental Effects.

Alexandra Gianaris, Manuela O Ramalho, Amanda A de Oliveira, Maria Santina de Castro Morini, Cintia Martins, Odair C Bueno

Abstract read
In one paragraph

Article in Neotropical entomology, 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.

Alexandra GianarisDept of Biology, West Chester Univ, West Chester, PA, USA. gianaris.alexandra@gmail.com.ORCID http://orcid.org/0009-0008-5455-1015
Manuela O RamalhoDept of Biology, West Chester Univ, West Chester, PA, USA.
Amanda A de OliveiraDept of General and Applied Biology, São Paulo State Univ, Rio Claro, SP, Brazil.
Maria Santina de Castro MoriniLab de Mirmecologia Do Alto Tietê (LAMAT), Univ de Mogi das Cruzes, Mogi das Cruzes, São Paulo, Brazil.
Cintia MartinsDept of Biology, Univ Federal Do Delta Do Parnaíba, Parnaíba, Piauí, Brazil.
Odair C BuenoDept of General and Applied Biology, São Paulo State Univ, Rio Claro, SP, Brazil.

Funding

Natural Science Foundation NSF DEB 1900357
6 · The paper itself

Abstract

Historically, studies have sought to identify host-specific factors in host-microbe interactions as a means of understanding evolutionary success. The genus Atta, comprising leaf-cutter ants, is native to the southern Neotropics and obligately mutualistic with cultivated fungi. It hosts a remarkably diverse range of bacterial communities, yet this variability remains poorly understood. Using high-throughput amplicon sequencing of the 16S rRNA genes of the whole worker, we showed significant difference between the bacterial communities among 4 dominant Atta species: Atta sexdens (Linnaeus), Atta laevigata (Smith), Atta capiguara (Gonçalves), and Atta bisphaerica (Forel). We also discovered significant differences in bacterial communities from laboratory conditions, pesticide treatment, and the fungal garden symbiont of Atta sexdens. Surprisingly, bacterial communities of Atta sexdens kept in the laboratory were not significantly different from pesticide-treated Atta sexdens, laying the groundwork for potential refinement of standard research methods.

Indexed as

AntsBacteriaBiodiversityHost Microbial InteractionsAnimalsFungiRNA, Ribosomal, 16SSymbiosisRNA, Ribosomal, 16SBacterial communitiesBacterial diversityMicrobial ecologyMicrobiologyMutualistSymbiont

Identifiers

PMID42274959
PMCPMC13260043

What OpenQuestion holds

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LicenceCC BY
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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.