2018
DOI: 10.1007/s13258-018-0687-z
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Transcriptome analysis for identifying possible gene regulations during maize root emergence and formation at the initial growth stage

Abstract: The root plays an important role during plant development and growth, i.e., the plant body maintenance, nutrient storage, absorption of water, oxygen and nutrient from the soil, and storage of water and carbohydrates, etc. The objective of this study was attempted to determine root-specific genes at the initial developmental stages of maize by using network-based transcriptome analysis. The raw data obtained using RNA-seq were filtered for quality control of the reads with the FASTQC tool, and the filtered rea… Show more

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Cited by 16 publications
(13 citation statements)
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“…The clean reads were obtained by trimming raw reads from the sequencing with a Cutadapt tool [ 83 ] and a Trimmomatic tool [ 84 ]. The quality of clean reads was also assessed via FastQC tool [ 85 ]. Then, the high-quality trimmed reads were mapped to the reference genome by Bowtie2 [ 86 ].…”
Section: Methodsmentioning
confidence: 99%
“…The clean reads were obtained by trimming raw reads from the sequencing with a Cutadapt tool [ 83 ] and a Trimmomatic tool [ 84 ]. The quality of clean reads was also assessed via FastQC tool [ 85 ]. Then, the high-quality trimmed reads were mapped to the reference genome by Bowtie2 [ 86 ].…”
Section: Methodsmentioning
confidence: 99%
“…Regulatory networks were constructed by ARACNe (Algorithm for the Reconstruction of Accurate Cellular Networks) [13][14][15] using both signi cant APs and signi cant DEGs and HGs were screened. Cytoscape software (version: 3.8.0) was used for visualizing the regulatory networks.…”
Section: Transcription Regulatory Network Constructionmentioning
confidence: 99%
“…The RNA-Seq FastQ raw data were pruned using Trimmomatic to remove adaptors and lower mass readings [14]. The quality of clean data was assessed using FastQC software [15]. The quality-approved data were mapped to the reference genome of the rat (National Center for Biotechnology Information [NCBI] genome assembly version Rnor 6.0) using HISAT2 (v2.0.13) and annotated with the annotation file (.gtf) NCBI Rnor 6.0 [16,17].…”
Section: Next-generation Sequencing and Data Analysismentioning
confidence: 99%