MétaCan
Menu
Back to cohort
Record W4388140600 · doi:10.1128/msystems.00826-23

Gut bacteria mediated adaptation of diamondback moth, <i>Plutella xylostella,</i> to secondary metabolites of host plants

2023· article· en· W4388140600 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuemSystems · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect symbiosis and bacterial influences
Canadian institutionsBrock University
FundersNational Natural Science Foundation of China
KeywordsDiamondback mothPlutellaBiologyKaempferolBrassica oleraceaBacteriaGut floraSecondary metaboliteBotanyGlucosinolateProteobacteriaSecondary metabolismBrassicaFlavonoidMicrobiologyBiochemistryLarvaAntioxidantGeneGenetics

Abstract

fetched live from OpenAlex

ABSTRACT The diamondback moth (DBM), Plutella xylostella, has successfully adapted to the potent chemical defenses of Brassicaceae plants that deter most other herbivores. Gut bacteria are increasingly recognized as key to the biology of many species but their role in DBM adaptation to plant defense compounds is not well known. In this study, the secondary metabolites of radish seedlings, rich in flavonoids, were identified by liquid chromatography-mass spectrometry. These secondary metabolites reduced the larval growth of DBM lacking gut bacteria. The effect was rapidly eclipsed by the re-introduction of gut microbiota, which was dominated by Enterobacter (Proteobacteria). Similarly, while treatment with the flavonoid kaempferol adversely affected growth and extended the development time, these were alleviated by the re-introduction of Enterobacter sp. EbPXG5 (EbPXG5) to the DBM gut. EbPXG5 not only degrades kaempferol both in vitro and DBM gut, but is also shown to colonize the gut epithelium, forming a protective biofilm. Genomic sequencing of EbPXG5 showed that metabolic genes were the most abundant, especially those involved in xenobiotic degradation, and the metabolism of terpenoids and polyketides, which could participate in the degradation of plant secondary metabolites such as kaempferol. Overall, our results showed that EbPXG5 is a bacterium common in the gut of DBM larvae and has the in vitro and in vivo capacity to detoxify a major secondary metabolite that is produced in brassica plants as a defense against herbivores. This insect-bacterial association may be an important contributor to the status of DBM as a major pest of brassica crops worldwide. IMPORTANCE In this study, we identify an important role of gut bacteria in mediating the adaptation of diamondback moth (DBM) to plant secondary metabolites. We demonstrate that kaempferol’s presence in radish seedlings greatly reduces the fitness of DBM with depleted gut biota. Reinstatement of gut biota, particularly Enterobacter sp. EbPXG5, improved insect performance by degrading kaempferol. This bacterium was common in the larval gut of DBM, lining the epithelium as a protective film. Our work highlights the role of symbiotic bacteria in insect herbivore adaptation to plant defenses and provides a practical and mechanistic framework for developing a more comprehensive understanding of insect-gut microbe-host plant co-evolution.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.353

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.216
Teacher spread0.191 · 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