Is ecological source important in phylogenomics analysis: a pilot study involving 17 Drosophila species using multilocus approach
Bibliographic record
Abstract
For over a century, the fruit fly Drosophila has accomplished itself as a resourceful experimental model organism in the field of biological research. It has a long history of being scrutinized by biologists for evolutionary studies either through cytogenetic, phylogenetic or comparative genomics analysis. Next Generation Sequencing (NGS) technologies are also bringing a revolutionary shift in phylogenetic exploration as now whole genome can be utilized for the analysis. The goal of the present study is to examine the robustness of the molecular markers which are frequently been employed in resolving the phylogeny of Drosophila genus. Ten protein coding nuclear loci were utilized to infer the phylogenetic relationships across 17 taxonomically known species including four Indian Drosophila and one Zaprionus species as outgroup in the present study, including Adh, Amy-p, Cypc, Gld, Gpdh, IARS, Marf, per and tim and Xdh. The DNA sequences of selected nuclear genes in four Indian Drosophila and Zaprionus species were retrieved from whole genome sequences (WGS) generated by us through Next Generation Sequencing Technology on Illumina platform. The selected genes were predicted using Augustus as gene prediction program. Neighbour joining, Maximum likelihood and Bayesian phylogenetic methods were employed in order to reconstruct and compare the evolutionary history. Our phylogenetic trees reconstructed using Adh, Amy, Gld, Gpdh, Xdh shows results which were in concordance with previous studies as Indian species were placed closer with their respective group/ subgroups members. However, phylogenies obtained using Marf, Cypc, IARS, per and tim genes showed that Indian species were forming a separate clade rather than occupying their own taxonomical position, thereby, confirming their close evolutionary relationship. This could be due to the ecological factors that are bringing remarkable variation in the sequence of these marker genes. So, the present study reveals that ecological origin of the study species should be contemplated while ascertaining its phylogenetic positions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".