Toolkit/Illumina NovaSeq X Plus sequencing

Illumina NovaSeq X Plus sequencing

Assay Method·Research·Since 2025

Also known as: Illumina NovaSeq X Plus platform

Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.

Summary

Sequencing of the samples was performed using Illumina NovaSeq X Plus platform.

Usefulness & Problems

Why this is useful

This platform was used to sequence oil palm leaf samples for RNA-seq analysis under cold treatment.; RNA-seq sample sequencing in cold-stress transcriptomics

Source:

This platform was used to sequence oil palm leaf samples for RNA-seq analysis under cold treatment.

Source:

RNA-seq sample sequencing in cold-stress transcriptomics

Problem solved

It provides the raw sequencing data needed to quantify transcriptomic responses to cold stress.; Generates sequencing reads for gene-expression analysis

Source:

It provides the raw sequencing data needed to quantify transcriptomic responses to cold stress.

Source:

Generates sequencing reads for gene-expression analysis

Problem links

Generates sequencing reads for gene-expression analysis

Literature

It provides the raw sequencing data needed to quantify transcriptomic responses to cold stress.

Source:

It provides the raw sequencing data needed to quantify transcriptomic responses to cold stress.

Published Workflows

Objective: To investigate physiological and genetic adaptations of oil palm seedlings to cold stress using fresh leaf samples collected across exposure durations.

Why it works: The study combines time-resolved physiological measurements with transcriptome profiling so that observable stress phenotypes and pathway-level gene-expression changes can be interpreted together under the same cold-treatment regime.

ROS-associated stress responsehormone signalingMAPK signalingphysiological measurementRNA-seqread quality filteringreference-guided transcriptomic analysispathway enrichment analysis

Stages

  1. 1.
    Cold treatment and time-course sampling(functional_characterization)

    This stage establishes the perturbation and sampling framework needed to measure how cold stress responses change over time.

    Selection: Expose oil palm seedlings to cold and collect fresh leaf samples across exposure durations for downstream physiological and genetic analysis.

  2. 2.
    Physiological parameter measurement(secondary_characterization)

    This stage captures phenotypic consequences of cold stress that can be compared with gene-expression changes.

    Selection: Measure antioxidant enzyme activity, ROS levels, photosynthetic pigment ratios, and photosynthetic efficiency under cold exposure.

  3. 3.
    RNA sequencing(functional_characterization)

    This stage generates transcriptomic data for differential expression and pathway analysis.

    Selection: Sequence leaf-sample transcriptomes using the Illumina NovaSeq X Plus platform.

  4. 4.
    Read quality filtering(decision_gate)

    This stage filters raw reads before downstream analysis to improve data quality.

    Selection: Remove adapter-containing reads, reads with >10% unidentified nucleotides, and reads where >50% of bases had Phred scores ≤20.

  5. 5.
    Reference-guided transcriptomic interpretation(secondary_characterization)

    This stage converts filtered sequencing data into interpretable gene and pathway changes associated with cold stress.

    Selection: Analyze expression against reference genome GCF_000442705.2 and identify DEGs and enriched pathways.

Steps

  1. 1.
    Subject oil palm seedlings to cold treatment

    Induce cold stress for downstream physiological and transcriptomic analysis.

    The perturbation must occur before any response measurements can be collected.

  2. 2.
    Collect fresh leaf samples across exposure durations

    Capture time-resolved material for physiological and gene-expression analysis.

    Sampling follows treatment so that duration-dependent responses can be measured.

  3. 3.
    Measure physiological stress-response parameters

    Quantify antioxidant, ROS-related, and photosynthetic responses to cold stress.

    These measurements characterize phenotypic stress responses from the collected samples before integrating them with transcriptomic results.

  4. 4.
    Sequence samples on Illumina NovaSeq X Plussequencing platform

    Generate RNA-seq reads for transcriptomic analysis.

    Sequencing is required before computational read filtering and expression analysis.

  5. 5.
    Filter raw reads with fastpread preprocessing software

    Remove adapter-containing and low-quality reads before downstream transcriptomic analysis.

    Quality filtering follows sequencing because raw reads must be cleaned before reliable DEG and pathway analysis.

  6. 6.
    Analyze filtered reads against reference genome and identify DEGs and enriched pathways

    Convert filtered sequencing data into differential-expression and pathway-level interpretations of cold response.

    This analysis depends on having filtered reads and a specified reference genome.

Taxonomy & Function

Primary hierarchy

Technique Branch

Method: A concrete measurement method used to characterize an engineered system.

Mechanisms

No mechanism tags yet.

Target processes

recombination

Implementation Constraints

cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor

It requires prepared biological samples and downstream read-processing and reference-mapping workflows.; Requires fresh leaf samples prepared for sequencing

Independent follow-up evidence is still limited. Validation breadth across biological contexts is still narrow. Independent reuse still looks limited, so the evidence base may be fragile. No canonical validation observations are stored yet, so context-specific performance remains under-specified.

Validation

Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication

Supporting Sources

Ranked Claims

Claim 1transcriptomic resultsupports2025Source 1needs review

RNA-seq identified increasing numbers of differentially expressed genes in oil palm under cold exposure at 1, 4, and 8 hours.

RNA-seq analysis identified 144, 392, and 6,585 differentially expressed genes (DEGs) after 1, 4, and 8 h of cold exposure, respectively.
differentially expressed genes 144differentially expressed genes 392differentially expressed genes 6585

Approval Evidence

1 source1 linked approval claimfirst-pass slug illumina-novaseq-x-plus-sequencing
Sequencing of the samples was performed using Illumina NovaSeq X Plus platform.

Source:

transcriptomic resultsupports

RNA-seq identified increasing numbers of differentially expressed genes in oil palm under cold exposure at 1, 4, and 8 hours.

RNA-seq analysis identified 144, 392, and 6,585 differentially expressed genes (DEGs) after 1, 4, and 8 h of cold exposure, respectively.

Source:

Comparisons

Source-backed strengths

Sequencing of the samples was performed using Illumina NovaSeq X Plus platform.

Illumina NovaSeq X Plus sequencing and barcoded Cre recombinase mRNA barcode platform address a similar problem space because they share recombination.

Shared frame: same top-level item type; shared target processes: recombination

Compared with calcium imaging

Illumina NovaSeq X Plus sequencing and calcium imaging address a similar problem space because they share recombination.

Shared frame: same top-level item type; shared target processes: recombination

Relative tradeoffs: appears more independently replicated.

Illumina NovaSeq X Plus sequencing and two-photon excitation microscopy address a similar problem space because they share recombination.

Shared frame: same top-level item type; shared target processes: recombination

Strengths here: looks easier to implement in practice.

Ranked Citations

  1. 1.
    StructuralSource 1MED2025Claim 1

    Extracted from this source document.