Project description:Purpose: We obtained RNA-seq-based differential expression profile of Valencia sweet orange plants challenged against healthy and CLas-infected psyllid infection at 1 dpi and 5 dpi. The goals of this study are to reveal the interaction between citrus and psyllid/CaLas during the early phase of infection and understand the molecular mechanisms underlying the host-pathogen interactions and the susceptibility of most citrus varieties. Methods: leaf mRNA profiles of in vitro cultured Valencia sweet orange (VAL) budwood (WT) and of VAL fed by healthy and CLas-infected psyllid were generated by RNA-seq, in triplicate (one sample is duplicate), using Illumina HiSeq platform. The sequence reads that passed quality filters were used for gene expression and DEG detection analysis by EBseq algorithms. qRT–PCR validation was performed using SYBR Green assays Results: Using the RNA-seq data analysis workflow, we mapped about 136.80M sequence reads per sample to the reference Citrus clementina v1.0 genome and a total of 32,677 genes were detected. The average total mapping of each library was 71.98%. RNA-seq data were validated with qRT–PCR. Conclusions: Our study obtained the transcriptional profiles of citrus host by feeding of psyllid transmitting Candidatus Liberibacter asiaticus at early stages of infection, with biologic replicates, generated by RNA-seq technology. The RNA-seq data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
Project description:<div>Olive (<i>Olea europaea</i>) has a long history of medicinal and nutritional values own to it rich in polyphenol and fatty acids (FAs) in fruits. In order to better understand the biosynthesis important of these metabolites, we generated comprehensive Iso-Seq full-length and illumina RNA-seq transcriptome, and targeted metabolomics dataset of different olive fruits maturity. The targeted metabolomics by using both GC/MS and LC/MS were totally quantified 35 FAs and 13 polyphenols. Iso-Seq library was constructed and sequenced by PacBio Sequel System, and a total of 5,891,652 (10.55 G) with an average length of 1,791 subreads were obtained. 492,350 circular consensus sequences (CCSs) were formed after merging and error correction through subread comparison. Of the 492,350 CCSs, 399,263 were found to be full-length non chimera (FLNC) reads, and 187,517 consensus reads were finally obtained by using clustering algorithm of Iterative clustering for error (IEC). These multiomics data provide a foundation to elucidate the mechanisms regulating biosynthesis of polyphenol and FAs during the maturation of olive fruits.</div><div><b><br></b></div><div><b>Polyphenols UPLC-MS</b> protocols and data are reported in the current study <b>MTBLS814</b>.</div><div><br></div><div><b>GC-MS</b> protocols and data associated to this study are reported in <b><a href="https://www.ebi.ac.uk/metabolights/MTBLS855">MTBLS855</a></b>.</div><div><br></div><div><span _ngcontent-iov-c3="" class="ng-star-inserted"><b>Tyrosol only UPLC-MS</b> <span _ngcontent-iov-c3="" class="ng-star-inserted">protocols and data associated to this study are reported in <b><a href="https://www.ebi.ac.uk/metabolights/MTBLS1127">MTBLS1127</a>.</b></span></span></div><div><br></div><div><br></div>