The genomes of four tapeworm species reveal adaptations to parasitism
Why this work is in the frame
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Bibliographic record
Abstract
Tapeworms (Cestoda) cause neglected diseases that can be fatal and are difficult to treat, owing to inefficient drugs. Here we present an analysis of tapeworm genome sequences using the human-infective species Echinococcus multilocularis, E. granulosus, Taenia solium and the laboratory model Hymenolepis microstoma as examples. The 115- to 141-megabase genomes offer insights into the evolution of parasitism. Synteny is maintained with distantly related blood flukes but we find extreme losses of genes and pathways that are ubiquitous in other animals, including 34 homeobox families and several determinants of stem cell fate. Tapeworms have specialized detoxification pathways, metabolism that is finely tuned to rely on nutrients scavenged from their hosts, and species-specific expansions of non-canonical heat shock proteins and families of known antigens. We identify new potential drug targets, including some on which existing pharmaceuticals may act. The genomes provide a rich resource to underpin the development of urgently needed treatments and control. Genome sequences of human-infective tapeworm species reveal extreme losses of genes and pathways that are ubiquitous in other animals, species-specific expansions of non-canonical heat shock proteins and families of known antigens, specialized detoxification pathways, and metabolism that relies on host nutrients; this information is used to identify new potential drug targets. Tapeworms cause echinococcosis and cysticercosis, two of the most severe parasitic diseases found in humans, and both on the World Health Organization's list of neglected tropical diseases. The publication of four tapeworm genome sequences — human-infective tapeworm species Echinococcus multilocularis, E. granulosus, Taenia solium and the laboratory model Hymenolepis microstoma — and identification of potential new drug targets for treating tapeworm infections is therefore a welcome development. Analysis of the sequences provides insights into the evolution of parasitism and reveals extreme losses of genes and pathways ubiquitous in other animals on one hand and species-specific expansions of genes on the other. More than a thousand E. multilocularis proteins emerge as potential targets, and of these, close to 200 with the highest scores may be targeted with existing pharmaceuticals.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 0.001 |
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 it