Genetic innovations underlying the evolution of root nodule symbiosis in Leguminosae
Bibliographic record
Abstract
Root nodule symbiosis (RNS) is a mutualistic association formed between nitrogen-fixing rhizobia or Frankia and host plants limited to four orders within Rosid I-Fabales, Fagales, Cucurbitales, and Rosales-which comprise the so-called 'Nitrogen Fixing Nodulation Clade' (NFNC). The majority of nodulation studies have focused on Leguminosae, given their agricultural and environmental importance, as well as the widespread occurrence of nodulation among members of this family. Endowing cereal crops with nitrogen fixation, like Leguminosae, presents a strategy to reduce the detrimental effects of synthetic fertilizer overuse. Different hypotheses on the origin of RNS have been proposed; however, key genetic innovations underlying the evolution of RNS, even in Leguminosae, have been rarely reported. In this review, we begin by examining current knowledge of genetic innovations-including gene gain, gene loss, and the acquisition or loss of conserved noncoding sequences (CNS) in preexisting genes. We explore the available evidence supporting these genetic innovations underlying the evolution of RNS in Leguminosae and offer the phylogenomics approach that could be applied to uncover these genetic innovations. Finally, we conclude by proposing a model of genetic innovations underlying the evolution of RNS in Leguminosae and consider the potential implications for the development of nitrogen-fixing crops.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".