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Record W4389943698 · doi:10.21203/rs.3.rs-3672275/v1

Multitrophic effects: A tale of microbiome shifts in the oriental fruit fly, Bactrocera dorsalis and its parasitoids

2023· preprint· en· W4389943698 on OpenAlexfundno aff
Rehemah Gwokyalya, Jeremy K. Herren, Christopher W. Weldon, Shepard Ndlela, Joseph Gichuhi, Nehemiah Ongeso, Anne W. Wairimu, Sunday Ekesi, Samira A. Mohamed

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicInsect behavior and control techniques
Canadian institutionsnot available
FundersAustralian Centre for International Agricultural ResearchDeutscher Akademischer AustauschdienstInternational Development Research CentreGovernment of the Republic of KenyaDirektoratet for UtviklingssamarbeidStyrelsen för Internationellt Utvecklingssamarbete
KeywordsBactrocera dorsalisBiologyMicrobiomePantoeaZoologyStenotrophomonasSpecies richnessEcologyTephritidaeProteobacteriaBotanyPEST analysis16S ribosomal RNABacteria

Abstract

fetched live from OpenAlex

Abstract Background Koinobiont endoparasitoids regulate the physiological functioning of their hosts through altering metabolism and immune responses, processes which function in tandem to shape the structure and composition of the microbial communities of these hosts. Here we investigated the hypothesis that parasitisation by the virulent Diachasmimorpha longicaudata and the avirulent Pystallia cosyrae induce gut dysbiosis and differentially alter the gut microbial communities of an important horticultural pest, the oriental fruit fly, Bactrocera dorsalis. Consequently, we employed 16S rRNA and ITS amplicon sequencing to investigate the effect of parasitisation on the bacterial and fungal communities of B. dorsalis, respectively. We further investigated the bacterial communities of D. longicaudata and P. cosyrae using 16S rRNA sequencing. Results Exposure to both parasitoids induced perturbations in the microbial communities of B. dorsalis. The gut bacteriome of B. dorsalis larvae shifted from an Anoxybacillus, Acetobacter and Acinetobacter dominated community to one dominated by the generaMorganella, Stenotrophomonas, Weissella and Pantoea. These effects were especially more pronounced in the D. longicaudata-parasitised larvae compared to those parasitized by P. cosyrae. The diversity and abundance of the fungal community was negatively influenced by parasitisation with an overall reduction in fungi diversity, richness, and evenness. We found an increase in the abundance of Sacchromyces species in larvae parasitized by both wasps compared to the unparasitised controls. On the other hand, the bacterial communities of both parasitoids were less diverse. Arsenophonus nasoniaewas the dominant bacterium in P. cosyrae whereas Paucibacter and Pseudomonas species dominated the bacteriome of D. longicaudata. Conclusion This study presents the first report of the microbial communities of D. longicaudata and P. cosyrae as well as parasitism-induced gut perturbations in B. dorsalis, revealing host gut homeostasis as a possible driver of parasitoid virulence in this invasive pest.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.358
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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