Raw reads of each sample were filtered using TrimGalore to remove known Illumina adapter sequences. Low-quality reads were excluded using a quality score threshold of 30 and a minimal length of 75 or 150 bases. The quality of reads was assessed using FastQC. Then, sequenced reads for each sample were aligned using Bowtie 2 in the QuasR package in R (Quantify and Annotate Short Reads in R). Each gene within the alignment was counted using the Rsubread package in R with the function feature Counts, based on T. lutea reference genome (Carrier et al., 2014 (link)). Gene counts were obtained for each sample and normalized with DESeq2.
Transcriptomic Analysis of Algal Culture
Raw reads of each sample were filtered using TrimGalore to remove known Illumina adapter sequences. Low-quality reads were excluded using a quality score threshold of 30 and a minimal length of 75 or 150 bases. The quality of reads was assessed using FastQC. Then, sequenced reads for each sample were aligned using Bowtie 2 in the QuasR package in R (Quantify and Annotate Short Reads in R). Each gene within the alignment was counted using the Rsubread package in R with the function feature Counts, based on T. lutea reference genome (Carrier et al., 2014 (link)). Gene counts were obtained for each sample and normalized with DESeq2.
Corresponding Organization :
Other organizations : Ifremer, Laboratoire des Sciences de l'Environnement Marin, Institut Universitaire Européen de la Mer, Laboratoire d’Océanographie de Villefranche, Laboratoire de Génie des Procédés – Environnement – Agro-alimentaire
Variable analysis
- Type of experiment (CL vs DL)
- Gene expression (gene counts)
- Total RNA extraction and sequencing protocol (as described by Carrier et al., 2014)
- Poly(A) mRNA isolation using oligo (dT) magnetic beads [MicroPoly(A)Purist™ Kit; Ambion]
- CDNA library preparation according to manufacturer's instructions
- Sequencing using Illumina HiSeq 3000 and GenoTool platform
- Read filtering and quality control using TrimGalore, FastQC, Bowtie 2, and Rsubread packages
- Gene count normalization using DESeq2
- No positive or negative controls were explicitly mentioned in the provided information.
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