DNA methylation during seed development in large-seeded chickpea
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ABSTRACT:
PROVIDER: PRJNA544329 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:In this study, we performed bisulphite of five stages of seed development in a large-seeded chickpea cultivar (JGK 3) using Illumina platform. Paired-end reads were generated from 11 libraries. Data obtained in FASTQ files were pre-processed to remove adapters and low-quality reads. We identified methylation level at each cytosine residue covered in sequencing and differentially methylated regions (DMRs) between stages of seed development.
2020-07-13 | GSE131665 | GEO
Project description:In this study, we sequenced small RNAs at seven successive stages of seed development and leaf tissue in a large-seeded chickpea cultivar (JGK 3) using Illumina platform. More than 500 million reads were generated in all the samples combined together with an average of 34 million reads in each sample. Data obtained in FASTQ files were pre-processed and unique reads representing small RNAs were identified at different stages of seed development.
2020-07-13 | GSE131424 | GEO
Project description:Small RNAs during seed development in large-seeded chickpea
| PRJNA543518 | ENA
Project description:In this study, we performed bisulphite of two stages of seed development in a small-seeded chickpea cultivar (Himchana 1) using Illumina platform. Paired-end reads were generated from 5 libraries. Data obtained in FASTQ files were pre-processed to remove adapters and low-quality reads. We identified methylation level at each cytosine residue covered in sequencing and differentially methylated regions (DMRs) between stages of seed development.
2020-07-13 | GSE131669 | GEO
Project description:In this study, we sequenced small RNAs at seven successive stages of seed development and leaf tissue in a small-seeded chickpea cultivar (Himchana 1) using Illumina platform. More than 500 million reads were generated in all the samples combined together with an average of 34 million reads in each sample. Data obtained in FASTQ files were pre-processed and unique reads representing small RNAs were identified at different stages of seed development.
2020-12-31 | GSE131431 | GEO
Project description:DNA methylation during seed development in small-seeded chickpea
| PRJNA544333 | ENA
Project description:In this study, we aim to present a global view of transcriptome dynamics during seed development in a large-seeded chickpea (genotype JGK3). We generated about 1.5 billion high-quality reads from 24 libraries (leaf and seven seed developmental stages in three biological replicates) using Illumina high-throughput sequencing platform. We mapped the reads to the kabuli chickpea genome for estimation of their transcript abundance in different tissue samples. The transcriptome dynamics was studied by differential gene expression analyses between different samples/stages.
2017-12-31 | GSE79719 | GEO
Project description:In this study, we aim to present a global view of transcriptome dynamics during seed development in a small-seeded chickpea (genotype Himchana 1). We generated about 1.5 billion high-quality reads from 24 libraries (leaf and seven seed developmental stages in three biological replicates) using Illumina high-throughput sequencing platform. We mapped the reads to the kabuli chickpea genome for estimation of their transcript abundance in different tissue samples. The transcriptome dynamics was studied by differential gene expression analyses between different samples/stages.
2017-12-31 | GSE79720 | GEO
Project description:Small RNAs during seed development in a small-seeded chickpea
| PRJNA543802 | ENA
Project description:In this study, we sequenced small RNA content from seven major tissues/organs employing Illumina technology. More than 154 million reads were generated using Illumina high-throughput sequencing GAII platform, which represented more than 20 million distinct small RNA sequences. After pre-processing, several conserved and novel miRNAs were identified in chickpea. Further, the putative targets of chickpea miRNAs were identified and their functional categorization was analyzed. In addition, we identified miRNAs exhibitng differential and specific expression in various tissues/organs. We collected different tissue samples used in this study and total RNA isolated was subjected to Illumina sequencing. The sequenced data was further filtered using NGS QC Toolkit to obtain high-quality reads. The filtered reads were pre-processed using modified perl script provided in the miRTools software. After quality control, the identical reads were collapsed into a unique read and read count for each sequence was recorded. All the filtered unique reads from each sample were screened stepwise against annotated non-coding RNA sequences, including plant snoRNA, tRNA and rRNA. The remaining reads were screened against repeat sequences from RepBase and chickpea chloroplast sequence. Conserved miRNAs were identified based on similarity with miRBase database and novel miRNAs were identified using miRDeep-P pipeline. For differential expression analysis, the read count for each miRNA was normalized using DESeq software. The genes preferentially and specifically expressed in various tissues/organs were identified.
2014-09-08 | E-GEOD-51300 | biostudies-arrayexpress