AFLP analyses of genetic variation of <i>Eupatorium adenophorum</i> (Asteraceae) populations in China
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Bibliographic record
Abstract
The Eupatorium adenophorum is one of the most widespread invasive alien species in China. In the present study, the genetic variation and population structure of this species were analyzed using amplified fragment length polymorphism (AFLP) markers. Nine primer pairs were selected for the analysis and 685 bands were produced, among which 474 bands were polymorphic (PPB = 69.2%). Diversity levels within populations were relatively high (mean expected heterozygosity = 0.188, mean Shannon index = 0.296). Regression analysis showed a significant positive relationship between Shannon genetic diversity and altitude (R 2 = 0.31). However, there was a negative correlation between Shannon genetic diversity and latitude (R 2 = 0.16), as well as between Shannon genetic diversity and longitude (R 2 = 0.45). Cluster analysis grouped the majority of the weed populations into three main clusters that corresponded with the geographic regions. At the regional level, the AMOVA indicated that about 70% of the variations in the data set were from genotypic variations within populations, 13.3% of the variations were due to regional differences, and the remaining 16.6% were due to differences among populations within the provincial regions. The results imply that most individuals tested in the present study should have been produced through seeds, and the process of colonization resulted in progressive loss of genetic diversity from the southwest to the northeast of China. Key words: Amplified fragment length polymorphism, invasive species, Eupatorium adenophorum, diversity, genetic variation, population structure
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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)
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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 it