Project description:itis vinifera cv. Tannat is largely cultivated in Uruguay for the production of high quality red wines. Its most notable characteristic is an elevated content of polyphenolic compounds, which provide an intense purple color and remarkable antioxidant properties to the wine. To characterize the genetic components encoding this important phenotypic characteristic, the genome of the Uruguayan Tannat clone UY11 was sequenced to 134X coverage using the Illumina technology and assembled with a mixed approach of de novo assembly and iterative mapping on the PN40024 reference genome. An approach based on both reference-guided annotation and de novo transcript assembly of RNA-Seq data allowed the definition of 3,673 genes not previously annotated in PN40024 that we consider novel, and the discovery of 2,228 genes not shared with the grapevine reference genome that we consider private to Tannat. Expression analysis showed that private genes contributed substantially (more than 50%) to the overall expression of enzymes involved in phenol and polyphenol biosynthesis indicating that the dispensable portion of the grapevine genome contains many private genes which are likely to contribute to the peculiar phenotypic characteristics of this grapevine variety.
Project description:This study utilized the HIT-ISOseq method for high-throughput sequencing of RNA isoforms across multiple lettuce samples, generating millions of long reads per PacBio Sequel II SMRT Cell. Analysis of six tissue types revealed tissue-specific gene expression and RNA isoforms, facilitating updates to the lettuce reference genome annotation with expanded functional annotations.
Project description:Purpose: The goal of this study is to provided a comprehensive genomic information for functional genomic studies in Q. mongolica. Methods:The Quercus mongolica leaves were generated by deep sequencing, using Illumina Hiseq 4000. The high-quality reads were obtained by removing the reads that contained adaptor contamination, low quality bases and undetermined bases.The transcriptome were de novo assembly. Results:A total of 52934562 raw reads were obtained from Illumina sequencing platform. After filtering out the low quality reads, we obtained 52076914 clean reads, which assembled into 39130 transcripts with a mean length of 742 bp and GC content of 42.12%, and 24196 unigenes with a mean length of 732 bp and GC content of 42.34%, based on Trinity assembly platform. Conclusions:RNA-Seq was applied to polyadenylate-enriched mRNAs from leaves of Q. mongolica to obtain the transcriptome. De novo assembly was then applied followed by gene annotation and functional classification. The SSRs and SNPs were also obtained using assembled transcripts as reference sequences. The results of this study lay the foundation for further research on genetic diversity of Quercus.
Project description:Purpose: The goal of this study is to screen the candidate genes involved in drought avoidance of Q. liaotungensis Methods:The Q. liaotungensis leaves were generated by deep sequencing, using Illumina Hiseq 4000. The high-quality reads were obtained by removing the reads that contained adaptor contamination, low quality bases and undetermined bases.The transcriptome were de novo assembly. Results:A total of 54153182 raw reads were obtained from Illumina sequencing platform, and 53021436 clean reads were generated after filtering out the low quality reads. The clean reads were assembled into 41207 transcripts with median length 704 and GC content 42.17%, and 25593 unigenes with median length 687 and GC content 42.31%, based on Trinity assembly platform Conclusions:RNA-Seq was applied to polyadenylate-enriched mRNAs from leaves of Q. liaotungensis to obtain the transcriptome. De novo assembly was then applied followed by gene annotation and functional classification. The SSRs and SNPs were also obtained using assembled transcripts as reference sequences. The results of this study lay the foundation for further research on genetic diversity of Quercus.
