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Record W6911040993 · doi:10.5061/dryad.g67n2n1

Data from: Plant host identity and soil macronutrients explain little variation in sapling endophyte community composition: is disturbance an alternative explanation?

2019· dataset· en· W6911040993 on OpenAlexaff

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2019
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsEndophyteHost (biology)MicrobiomeNutrientTaxonHerbivoreHabitatDisturbance (geology)

Abstract

fetched live from OpenAlex

1. Bacterial endophytes may be fairly host specific; nonetheless, an important subset of taxa may be shared among numerous host species forming a community-wide core microbiome. Moreover, other key factors, particularly the supply of limiting macronutrients and disturbances, may supersede the importance of host identity. 2. We tested the following four non-mutually exclusive hypotheses: 1. The Host Identity Hypothesis: endophytes vary substantially among different host plant species. 2. The Core Microbiome Hypothesis: a subset of microbial taxa will be shared among all host plant species. 3. The Soil Resource Supply Hypothesis: endophytes vary substantially among habitats with experimentally elevated levels of macronutrients. 4. The Disturbance-Disruption Hypothesis: disturbances created by the periodic application of antibiotics structure bacterial endophyte communities. 3. We tested these hypotheses by characterizing endophytes using high-throughput sequencing among seedlings of five phylogenetically diverse tree species nested within a long-term, full factorial nitrogen, phosphorus, and potassium soil fertilization experiment. We artificially disturbed one of our focal species by applying antibiotics every 10-14 days for 29 months within the soil (N,P,K) fertilization experiment. 4. While we detected a significant effect of host identity and soil nutrient additions, together they explained little variation in endophyte community composition (< 10%). We found unequivocal evidence for a core microbiome shared by all species. Specifically, we found nine OTUs were present among 95% or more of all control saplings, representing a third of the total reads. These bacterial taxa belonged to the Actinobacteria. 5. In contrast, disturbance (antibiotics) explained more endophyte variation than all nutrient addition combinations combined and twice the variation explained by host identity for all five tree species. Synthesis: Our results challenge the idea that host identity is a primary filter shaping bacterial endophyte communities; this suggests that many of the same bacterial taxa occur inside plant hosts even if those host plants are phylogenetically diverse. Moreover, we documented a distinct core microbiome shared among our five focal tree species. Finally, we found that disturbance was an important driver of microbial community composition, which parallels the importance of disturbance in other areas of community ecology.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.104
Threshold uncertainty score0.348

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1040.039

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 head0.069
GPT teacher head0.318
Teacher spread0.250 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations1
Published2019
Admission routes1
Has abstractyes

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