Optimizing culture-free approaches to recover high quality <i>M. tuberculosis</i> genomic variation
Notice bibliographique
Résumé
Abstract Background: Mycobacterium tuberculosis ( Mtb ) genomic epidemiology often relies on culturing patient sputum, a time and labor-intensive process. Hybrid capture approaches have been successfully used to enrich Mtb DNA from complex clinical samples, yet the accuracy of variant identification from captured samples has not been systematically evaluated. Methods: We created artificial strain mixtures of two well-characterized Mtb isolates such that the minor strain comprised 0-50% of Mtb DNA and serially diluted the Mtb DNA into human DNA to simulate diagnostic samples with different sputum smear burdens (32 samples). We also prospectively collected paired Mtb diagnostic cultures and sputum submitted to a national diagnostic laboratory (7 sample pairs). We performed hybrid capture and Illumina whole genome sequencing for all samples. For the artificial strain mixtures, we measured hybrid capture efficiency, the percentage of total reads mapping to Mtb , and performance of fixed and minority variant identification. For the diagnostic samples, we compared the number, identity of, and minor allele frequencies of minority variants identified in the cultured and hybrid captured samples. Results: In the artificial strain mixture experiment, hybrid capture efficiency was 97% when Mtb comprised 0.01% of the input DNA. Single nucleotide polymorphism (SNP) identification via hybrid capture had a sensitivity ≥ 91% and precision ≥ 97% for Mtb lineages 4.1.2.1 and 4.9, excluding PE/PPE genes, when Mtb comprised 0.01% of input DNA. Observed minor allele frequencies were closely correlated (r=0.60 to r=0.79, p < 0.001) with input minor allele frequences across all dilutions. Among paired diagnostic samples, hybrid capture efficiency was high, 95%. However, four of the seven captured sputa samples were overwhelmed with Pseudomonas contamination, which comprised >25% of sequence reads. We did not detect a significant difference in the number of minority variants identified in cultured (median: 14, range: 9-23) and hybrid captured samples (median: 22 variants, range 4-328, p=0.2) and minor allele frequences were correlated (r = 0.95, p < 0.001) Conclusions: Hybrid capture of diagnostic sputa samples efficiently generates accurate Mtb whole genome sequences and minority variant calls. Hybrid capture may offer an alternative to culture-based sequencing that could extend the coverage of genomic epidemiology studies. Impact Statement: Mycobacterium tuberculosis ( Mtb ) genomic epidemiology often relies on culturing patient sputa, which is time and labor-intensive. Hybrid capture approaches enrich Mtb DNA from complex clinical samples, yet the efficiency and accuracy of identification of both consensus and minority variants from captured samples has not been systematically evaluated. To address these questions, we assessed the accuracy of hybrid capture both in experimental strain mixtures of well-characterized Mtb isolates and in clinical diagnostic samples. We found that hybrid capture of sputa samples can be used to efficiently sequence Mtb DNA from complex mixtures and that variant identification is highly accurate. Our results suggest that hybrid capture may offer an alternative to culture-based sequencing that could extend the coverage of genomic epidemiology studies.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».