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Enregistrement W6902026652 · doi:10.6084/m9.figshare.19959613

Additional file 1 of Genome and transcriptome analysis of rock-dissolving Pseudomonas sp. NLX-4 strain

2022· article· en· W6902026652 sur OpenAlexaff

Notice bibliographique

RevueOpen MIND · 2022
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueGenomics and Phylogenetic Studies
Établissements canadiensLakehead University
Organismes subventionnairesnon disponible
Mots-clésGenomeIllumina dye sequencingReference genomeWhole genome sequencingTranscriptomeStrain (injury)DNA sequencingGenomicsPhylogenetic tree

Résumé

Additional file 1: Figure S1. Step-wise pipeline of experiments implemented in our study 1) rock sampling, 2) screening of bacteria, 3) isolating efficient strain, 4) identification of strain, 5) silicate rock-dissolution experiments, 6) NLX-4 strain’s effective secretory compounds, 7) NLX-4 whole-genome sequencing, 8) NLX-4 genome-wide transcriptome and 9) qRT-PCR experiment. Table S1. Indoleacetic acid and siderophore productions of the tested strains. Table S2. The contents of the NLX-4 metabolites associated with rock dissolution. Table S3. The contents of the bacterial metabolites produced by strain NLX-4 cultured with K-bearing rock samples and K+, respectively. Figure S2. a) Cell morphologies of strain NLX-4 (×1000); b) Neighbor-joining phylogenetic tree reconstructed based on 16S rDNA sequences, which showed the phylogenetic relationships between strain NLX-4 and related type bacteria. Bootstrap values (expressed as percentages of 1000 replications) greater than 50% are shown at branch points. The scale bars represent 0.05 substitutions per nucleotide position. Table S4. Data obtained from Illumina HiSeq4000 and PacBio RSII SMRT sequencing systems. Figure S3. The sequencing workflow applied for the Illumina HiSeq 4000 and PacBio RSII sequencing systems. Figure S4. The analysis workflow applied in this study for the assembly of the NLX-4 genome using hybrid analysis approach implementing the genome sequences obtained from Illumina and PacBio systems. Figure S5. The data analysis pipeline used for biological contextualization of the Pseudomonas sp NLX4 strain. Table S5. Lists the final results obtained from the genome assembly and genome biological contextualization. a) results obtained after the RS_HGAP (SMRT analysis suite) and Celera software pipeline, b) gene prediction using Glimmer, c) ncRNA prediction, d) tandem repeat prediction, e) CRISPR finder and f) biological contextualization (GO, COG, InterPro, KEGG, Swiss-Prot and BLAST-NR. Table S6A. List of primers used for qRT-PCR of NLX-4 genes which were differentially expressed in transcriptome analysis. Table S6B. Summary of sequences analysis of Pseudomonas NLX-4 genome. Table S7. a) Summary of mapping to genes; S7b) Summary of mapping to genomes. Figure S6 The GC skewness of the Pseudomonas sp NLX-4 strain and the genome-wide distribution of different cellular process. Figure S7. Shows the distribution and statics of length and mass of the polymerase reads and subreads, respectively. a) The results are represented for both raw reads and clean reads, respectively; b) base composition of data. On the X axis, 1-90 bp represents the base position of read1, and 91-180 bp represents the base position of read; c) shows the reads base mass distribution. Figure S8. a) Correlation analysis of GC content and Depth: The abscissa is the GC content, and the ordinate is the average sequencing depth; b) shows the Kmer Analysis Graph where the abscissa is Depth, and the ordinate is the ratio of the frequency at each depth to the total frequency. Without considering the sequencing error rate, the heterozygosity and repetition of the genome. Figure S9. Gene Prediction glimmers. Figure S10. Birds eye view of the distribution of reads mapped to the reference genome, each figure shows the distribution of genes and also the distribution of reads in the longest 1 chromosome/scaffold. Figure S11. The results of randomness assessment showing the distribution of reads mapped to the reference genome. Figure S12. Distribution of gene’s coverage for individual sequenced samples. Figure S13. Correlation analyses of three biological replicates in treatment and CK groups, respectively. The Pearson correction coefficients are shown in the upper right corner of the plot. Figure S14. Detailed workflow implemented for the illumina RNA-Sequencing and the sequencing analysis pipeline for obtaining for the gene annotations. Figure S15. The enriched and significant KEGG pathways based on their differentially expressed genes and the total number of genes belonging to each pathway. Figure S17. The qRT-PCR analysis of the specifically selected six differentially expressed genes involved in the rock-dissolution process, selected based on the RNA-Seq results. Figure S18. The differentially expressed genes (DEGs) obtained from transcriptome analysis. a) fold change results b) DEGs both up and down-regulated c) volcano plot. Figure S19. a) Total number of novel transcripts discovered based on the transcriptome data analysis, which includes both novel transcripts in coding and non-coding regions; b) Total number of differentially expressed sRNA in control and treatment samples; c) distribution of the total number of sRNA’s and their length; d) Top differentially expressed sRNA’s represented by its candidate-ID along with its start and ending regions.

Conservé avec la notice de tri, où il sert de preuve aux étiquettes ci-dessus.

Comment cette classification a été obtenuedéplier

Le tri à trois modèles

les 5 600 travaux triés →

Les trois modèles l'ont jugé hors champ.

strate : aff_core · poids de sondage : 5595.24 (l'échantillon est stratifié ; tout taux calculé sans le poids est faux)
Claude Opus 4.8OUT
genre : other
porte sur le Canada: non
confiance: high

Supplementary file of a bacterial genome and transcriptome paper; a domain data artifact.

GPT-5.6 (high)OUT
genre : other
porte sur le Canada: non
confiance: high

This supplementary file documents genomic and transcriptomic experiments on bacteria rather than studying research practice.

Grok 4.5OUT
genre : other
porte sur le Canada: non
confiance: high

Supplementary figures and tables for a Pseudomonas genomics paper; domain biology supporting material.

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,652
Score d'incertitude au seuil0,000

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,008
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0030,005
Études des sciences et des technologies0,0020,000
Communication savante0,0020,002
Science ouverte0,0030,001
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,6520,116

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.

Tête enseignante Opus0,017
Tête enseignante GPT0,245
Écart entre enseignants0,228 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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