Data and reproducible code for Honor et al: Direct and indirect fitness effects of competition limit evolution of allelopathy in an invading plant
Bibliographic record
Abstract
Upon introduction to new continents, invading species encounter novel communities of consumers, pathogens, and competitors. Both phenotypic plasticity and rapid evolution can facilitate adaptation across these heterogenous communities, facilitating further invasion. However, the rate and extent of adaptive evolution on contemporary timescales can be constrained by phenotypic plasticity and limits imposed by genetic co-variation for traits under selection. We measured phenotypic plasticity and quantified genetic co-variation for growth, competition, and fitness among 23 naturally inbred seed families of Alliaria petiolata (garlic mustard) collected across its invasive range in eastern North America. After growing a self-pollinated generation in a uniform common garden to reduce maternal effects, we reared second-generation plants in a two-year greenhouse and field experiment with naïve soil from an uninvaded habitat. We measured selection gradients and lifetime fitness when reared alone, with an intraspecific competitor, and under interspecific competition with naïve Acer saccharum (sugar maple) saplings. Total glucosinolate production was strongly correlated with the production of chlorophyll a (Chl a) (R2 = 0.45) such that first principal component (PC1) accounted for 84% of variation in these two traits. Furthermore, PC1 exhibited high plasticity across growing environments (p < 0.001) with limited broad-sense heritability (H2 = 2.91; p = 0.08). In contrast, investment in glucosinolate production relative to Chl a (PC2) was significantly heritable (H2 =16.91, p < 0.001) with minimal plasticity across treatments. Causal analysis revealed that plastic variation for higher Chl a + glucosinolate production (PC1) had an indirect positive effect on A. petiolata fitness via a direct, negative effect on A. saccharum performance. In contrast, heritable variation for higher glucosinolate investment (PC2) had a direct, positive effect on A. saccharum performance and an indirect negative effect on A. petiolata fitness. Applying causal inference, we find that evolution of allelopathy in A. petiolata has been constrained by (i) a lack of genetic variation, (ii) selection against glucosinolate investment under interspecific competition, and (iii) phenotypic plasticity. These factors limit adaptive evolution but maintain fitness during population growth as plants switch from interspecific to intraspecific competition during invasion.
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 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 | 0.005 | 0.028 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.567 | 0.371 |
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".