Transcriptome data of rice roots after applying NH1 strain under cadmium stress

Published: 11 September 2025| Version 1 | DOI: 10.17632/g5h9x2yrdh.1
Contributor:
Dandan Li

Description

Transcriptome data of rice roots after applying NH1 strain under cadmium stress

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The present study selected rice root samples from four treatment groups (CK, NH1, Cd, and Cd+NH1) for transcriptome analysis, with six biological replicates per treatment, totaling 24 samples. Sequencing services were performed by Magigene Biotechnology Co., Ltd. (Guangdong, China; https://www.magigene.com/). Detailed experimental procedures and data analysis workflows are outlined below:Total RNA was isolated from each sample. After quality verification, mRNA was enriched using magnetic beads with Oligo(dT). The mRNA was fragmented using fragmentation buffer and reverse-transcribed into first-strand cDNA using random hexamer primers. Second-strand cDNA synthesis was subsequently performed using buffer, dNTPs, DNA polymerase I, and RNase H. Double-stranded cDNA was purified with AMPure XP beads, followed by end repair, poly-A tailing, and adapter ligation. Target fragments were size-selected using AMPure XP beads, amplified via PCR, and purified to generate sequencing libraries.Qualified libraries were sequenced on the Illumina NovaSeq platform with paired-end 150 bp (PE150) reads. Raw reads generated through base calling were subjected to quality control using fastp software to remove low-quality sequences. Ribosomal RNA sequences were filtered by aligning processed data to reference sequences from the NCBI RefSeq and Rfam databases using Bowtie 2 software, yielding high-confidence clean reads for downstream analyses. Clean reads were assembled into transcripts using StringTie. Transcript-level quantification was performed with Salmon software to obtain read counts. These counts were subsequently converted to gene-level read counts via the tximport package in R, thereby establishing the foundation for differential gene expression analysis.

Institutions

  • Shandong Agricultural University

Categories

Transcriptomics

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