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Quercus mongolica

ABSTRACT: Full-length transcriptome sequencing of Quercus mongolica

PROVIDER: PRJNA607679 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR11119237_subreads.fastq.gz	Fastqsanger.gz

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Transcriptomic analysis of Quercus mongolica leaves: de novo assembly, functional annotation and molecular markers mining

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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.

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