Summary: Cultivated soybean has domesticated in China for a long history, and there are several significant phenotypic differences between wild and cultivated soybeans. Seed of cultivar is generally larger than wild soybean, therefore here we comprehensively analyzed transcriptomes of thirteen soybean accessions seeds including seven wild soybeans and six landraces through applying strand-specific RNA sequencing. Differential expressed genes related seed weight were identified, some of them were known to be associated with seed development in Arabidopsis. Noncoding RNAs are known to play important roles in plant development, and we profiled the expression pattern of long noncoding RNA (lncRNA) in cultivated and wild soybean seeds. We have identified 1,251 long intergenic noncoding RNA, 243 intronic RNA and 81 antisense lncRNA, transcriptional levels of a number of lncRNAs were significantly different between cultivated and wild soybeans, suggesting that lncRNA may be involved in soybean seed development.
Overall Design: High-depth paired-end RNA-seq from wild and cultivated soybeans
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Growth Protocol: | For growing soybean plants, seeds were grown on fields. |
Treatment Protocol: | Seeds were harvested thirteen days after fertilization for RNA sequencing |
Extract Protocol: | Total RNAs were extracted using Trizol (Sigma), and then were treated with TURBO DNA-free kit (ambion) for removing DNA contamination. |
Library Construction Protocol: | Libraries were constructed through applying TruSeq Stranded mRNA (Illumina, San Diego, CA, USA) in accordance with the manufacturer’s instruction. |
Molecule Type: | poly(A)+ RNA |
Library Source: | |
Library Layout: | PAIRED |
Library Strand: | Forward |
Platform: | ILLUMINA |
Instrument Model: | Illumina HiSeq 2500 |
Strand-Specific: | Specific |
Data Resource | GEN Sample ID | GEN Dataset ID | Project ID | BioProject ID | Sample ID | Sample Name | BioSample ID | Sample Accession | Experiment Accession | Release Date | Submission Date | Update Date | Species | Race | Ethnicity | Age | Age Unit | Gender | Source Name | Tissue | Cell Type | Cell Subtype | Cell Line | Disease | Disease State | Development Stage | Mutation | Phenotype | Case Detail | Control Detail | Growth Protocol | Treatment Protocol | Extract Protocol | Library Construction Protocol | Molecule Type | Library Layout | Strand-Specific | Library Strand | Spike-In | Strategy | Platform | Instrument Model | Cell Number | Reads Number | Gbases | AvgSpotLen1 | AvgSpotLen2 | Uniq Mapping Rate | Multiple Mapping Rate | Coverage Rate |
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