Metabolism
Aloe vera medicinal pathway transcriptome
Open access · cc by · source: Europe PMC
De novo root and leaf transcriptomes highlight saponin and anthraquinone metabolism genes.
Study at a glance
- Design
- Computational / modelling — Illumina RNA-seq de novo Trinity assembly of Aloe vera root and leaf transcriptomes
- N
- Two tissues; ~43,443 root and ~43,178 leaf CDS — transcriptome resource, not a sample-N study
- Population
- Aloe vera root and leaf tissues
- Outcome
- Annotated transcriptome resources linked to secondary-metabolite pathways
Structured fields used in claim comparison tables when every cited study has a complete layer.
Key findings
~43k CDS per tissue with extensive annotation tied to secondary-metabolite pathways.
Methodology
Illumina RNA-seq of Aloe vera root and leaf with Trinity assembly and pathway annotation.
Limitations
Does not chemically quantify every metabolite or prove each enzyme activity.
How this study connects
Role on claims
Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.
Multiple empirical papers in this library examine metabolism with mechanistic biological findings.
Evidence for the claim as stated.
~43k CDS per tissue with extensive annotation tied to secondary-metabolite pathways.
Evidence for the claim as stated.
Systems and scales differ across metabolism studies (species, tissues, methods), so mechanisms should not be over-generalised.
Evidence for the claim as stated.
De novo assemblies turn RNA-seq into a catalogue for species without a finished genome. Illumina sequencing of Aloe vera root and leaf produced on the order of 43,000 CDS per tissue with annotations tied to secondary-metabolite pathways; bacteria-challenged sea bass head kidney and spleen yielded a large immune transcriptome including hepcidin, lysozyme and RAG annotations.
Evidence for the claim as stated.
Reference-guided counting and de novo assembly are not interchangeable products. CircRNA detection needed non-poly(A) libraries and back-splice calling; Aloe and sea bass papers assemble transcripts because a complete reference is missing or incomplete; LCL and tomato papers quantify against known genes. Treating every RNA-seq paper as a gene-count table hides those design choices.
Evidence for the claim as stated.
Open questions
Tensions this paper is part of
From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.
Systems and scales differ across metabolism studies (species, tissues, methods), so mechanisms should not be over-generalised.
Reference-guided counting and de novo assembly are not interchangeable products. CircRNA detection needed non-poly(A) libraries and back-splice calling; Aloe and sea bass papers assemble transcripts because a complete reference is missing or incomplete; LCL and tomato papers quantify against known genes. Treating every RNA-seq paper as a gene-count table hides those design choices.
- Supports · Cataloging mammalian circular RNAs
- Supports · Genetics shapes methylation and expression
Related papers in this topic
Same topic cluster — not a recommendation engine.