2016
DOI: 10.1101/073213
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Gene expression analysis provides insight into the physiology of the important staple food crop cassava

Abstract: SummaryCassava (Manihot esculenta) feeds approximately 800 million people worldwide. Although this crop displays high productivity under drought and poor soil conditions, it is susceptible to disease, postharvest deterioration and the roots contain low nutritional content.Here, we provide molecular identities for eleven cassava tissue types through RNA-sequencing and develop an open access, web-based interface for further interrogation of the data.Through this dataset, we report novel insight into the physiolo… Show more

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Cited by 2 publications
(3 citation statements)
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“…Wilson et al . used the Plant Total RNA 88 Kit (Sigma) for RNA extraction from non‐meristematic cassava tissues and the Arcturus PicoPure 89 RNA Isolation Kit for total RNA extraction from the shoot and root apical meristematic (SAM and RAM, respectively) cassava tissues. However, these kits are expensive and suitable only for analyzing a small amount of RNA from SAM and RAM, which reduces their applicability for RNA‐Seq library construction and qRT‐PCR, which require a large amount of RNA.…”
Section: Resultsmentioning
confidence: 99%
“…Wilson et al . used the Plant Total RNA 88 Kit (Sigma) for RNA extraction from non‐meristematic cassava tissues and the Arcturus PicoPure 89 RNA Isolation Kit for total RNA extraction from the shoot and root apical meristematic (SAM and RAM, respectively) cassava tissues. However, these kits are expensive and suitable only for analyzing a small amount of RNA from SAM and RAM, which reduces their applicability for RNA‐Seq library construction and qRT‐PCR, which require a large amount of RNA.…”
Section: Resultsmentioning
confidence: 99%
“…In such cases, analyzing RNA-seq data using one haploid set of genes/transcripts as the reference could potentially miss haplotype-specific, novel expression patterns. Therefore we re-analyzed the previously published [31] RNA-seq data (Supplementary table 10) generated from two different tissues (TME204 leaf vs. stem) using our reference transcriptome of 119,805 unique transcripts, including both haplotype-specific isoforms and allelic pairs of common isoforms. In TME204 leaf and stem, 64,992 (54%) of transcripts were expressed, 6,696 (6%) transcripts showed significant difference in expression (Fold change above 4, adjusted p-value < 0.001).…”
Section: Tissue Specific Differentially Expressed Transcriptsmentioning
confidence: 99%
“…Unique transcripts were quality-controlled, filtered and classified using SQANTI3 (v4.1) [81] to identify novel transcripts and gene models. In detail, previously published Illumina RNA-seq data (Supplementary table 10) from TME204 [82] were used to check PacBio transcript coverage. Transcripts in which junction sites had low Illumina RNA-seq read support (<4) were filtered out.…”
Section: Repeat Modeling Genome Masking and Annotationmentioning
confidence: 99%