Additional file 2 of Single-cell genomics unveils a canonical origin of the diverse mitochondrial genomes of euglenozoans
Notice bibliographique
Résumé
Additional file 2: Fig. S1. BlobTools plots showing contamination of several sequenced SAGs. The bacterial contamination is shown as blue circles, while sequences with eukaryotic signal are in magenta. For comparison, BlobTools plots for SAGs EU17 and EU18 are also shown. Fig. S2. 18S rDNA phylogeny of eukaryotes. The Maximum Likelihood phylogenetic tree was estimated from an alignment containing 131 taxa and 1551 nucleotide positions under the GTR + Γ model with standard bootstrapping (BS) and ultrafast bootstrapping (UFB). Support values are shown if ≥ 50% and ≥ 75% for BS and UFB, respectively. Fully supported nodes are shown as black circles. Fig. S3. 18S rDNA phylogeny of euglenozoans. The Maximum Likelihood phylogenetic tree was estimated from an alignment containing 368 taxa and 1269 nucleotide positions under the GTR + Γ model with standard bootstrapping. Support values are shown if ≥ 50%. Fig. S4. Predicted domains in EU17/18 mtDNA-encoded ORFs. ORFs annotated by MFannot ( https://megasun.bch.umontreal.ca/cgi-bin/dev_mfa/mfannotInterface.pl ) were submitted to an InterProScan [76] search. Predicted domains are highlighted as explained in the graphical legend. Fig. S5. Concatenated mitochondrial phylogenetic analysis including atp6 from EU17/18. The alignment contained 37 taxa and 4348 amino acid positions, with EU17/18 missing 3.65% of data. The Maximum Likelihood tree was estimated under two models, LG + C20 + F + Γ (C20) and LG + F + I + G4 (LG; the best-fitting model as determined by IQ-TREE), with 1000 standard bootstraps (BS) and 1000 ultrafast bootstraps (UFB). The tree topology shown is from the C20 analysis. Support values for < 50% BS and < 75% UFB are denoted by a dash (-), whereas an asterisk (*) marks a topology that does not exist in a particular analysis. Fully supported nodes are shown as black circles. Fig. S6. Characterization of tRNAs encoded in mtDNA of EU17/18 and EU2. a-b) Sequences of trnK (a) and trnM (b) were aligned with mitochondrially encoded tRNAs of other species of Discoba. Residue shading indicates sequence conservation. c-d) Secondary structures of trnK (c) and trnM (d) as predicted by tRNAScan-SE. Double and triple bonds are depicted as dark- and light-blue circles, respectively. Anticodons are highlighted with a green background. Since all other known euglenozoans import all tRNAs into mitochondria from the nucleus [48], we built tRNA alignments with homologues from the mtDNAs of other discobans to take into account different evolutionary pressures and mutational rates in nuclei and mitochondria [52]. The identity across nine trnK and 20 trnM sequences was 38.7% and 15.8%, respectively (a-b). Predicted secondary structures resembled other tRNAs supporting their functionality (c-d). While most eukaryotes have at least some tRNA mitochondrial-encoded, the long-standing paradigm was that euglenozoans and unrelated apicomplexans (which share with euglenozoans a range of unique features [79]) import all tRNAs from the cytosol [80]. This has significant consequences, since the bacterial-type translation system has to cope solely with the eukaryotic-type tRNAs [81]. Fig. S7. Mitoribosomal RNAs of EU17/18. Sequences of rns (a) and rnl (b) genes, as predicted by MFannot, were aligned with sequences of Escherichia coli. E. coli sequences were obtained from http://rna.ucsc.edu/rnacenter/ribosome_images.html , and their predicted domains [82, 83] are shown as magenta and blue boxes below the sequences. Nucleotide identities are shown by black background with white nucleotides.
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 | 0,002 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| Bibliométrie | 0,003 | 0,005 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,812 | 0,216 |
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 ».