Genetic and phenotypic diversity of geographically different isolates of<i>Glomus mosseae</i>
Bibliographic record
Abstract
In this work, we combined morphological taxonomy and molecular methods to investigate the intraspecific diversity of Glomus mosseae, whose global distribution has been reviewed by a survey of scientific literature and Web-available records from international germplasm collections (International Culture Collection of Vesicular Arbuscular Mycorrhizal Fungi and International Bank of Glomeromycota). We surveyed 186 publications reporting the occurrence of G. mosseae from at least 474 different sites from 55 countries throughout all continents, producing a geographical map of their distribution. The relationships among G. mosseae isolates originating from Europe (United Kingdom), the United States (Arizona, Florida, and Indiana), Africa (Namibia), and West Asia (Syria) were analyzed. The level of resolution of internal transcribed spacer (ITS) sequences strongly supports the morphological species definition of G. mosseae. An ITS - restriction fragment length polymorphism assay with the enzyme HinfI yielded a unique profile for all G. mosseae isolates, allowing a straightforward identification of this morphospecies. Genetic variability among G. mosseae isolates was revealed by the inter-simple-sequence repeat (ISSR) - polymerase chain reaction: the magnitude of genetic divergence shown by the investigated geographical isolates was higher than 50%, consistent with previous data on vegetative compatibility and functional diversity. The variability of ISSR patterns suggests that intraspecific diversity is much higher than that foreseen by morphology and rDNA regions, and should be further investigated by using other genes, such as those related to functional diversity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".