MétaCan
Menu
Back to cohort
Record W1586379544 · doi:10.1002/9781118297674.ch42

Surveying Diverse <i>Zea</i> Seed for Populations of Bacterial Endophytes

2013· other· en· W1586379544 on OpenAlexaffabout
David Johnston‐Monje, Manish N. Raizada

Bibliographic record

Venuenot available
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBiologyDomesticationEndophyteBotanyRhizospherePlant geneticsColonizationBacteriaEcologyGenomeGeneGenetics

Abstract

fetched live from OpenAlex

Endophytes are nonpathogenic microbes that inhabit plants. We asked whether bacterial endophytes were conserved in the agriculturally important plant genus Zea as it was domesticated from its wild ancestors (teosintes) to modern maize (corn) and shifted from Mexico to Canada. Kernels from populations of diverse teosintes and maize varieties were screened for bacterial endophytes by culturing, cloning, and DNA fingerprinting using terminal-restriction fragment length polymorphism (TRFLP) of 16S rDNA. Principle component analysis (PCA) of TRFLP data demonstrated that seed endophyte community composition covaries with plant host phylogeny. This result suggests that as humans bred maize plants, they gradually also altered their microbial communities. Interestingly, a core microbiota of endophytes was identified that was conserved in Zea seed across boundaries of evolution, ethnography, and ecology. Consistent with this observation, the majority of seed endophytes in the wild ancestor were found to persist in domesticated maize. Use of GFP-tagged endophytes showed that a subset of seed endophytes could spread systemically through the plant. The seed isolate, Enterobacter asburiae, was able to exit the root and colonize the rhizosphere. We discuss the conservation and diversity of these endophytes in relation to their Zea hosts.

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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.244
Teacher spread0.194 · 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

Citations7
Published2013
Admission routes2
Has abstractyes

Explore more

Same topicPlant-Microbe Interactions and ImmunityFrench-language works237,207