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Transcriptomic analysis of Boswellia sacra wounding stress responses during resin extraction

ABSTRACT: Transcriptomic analysis of Boswellia sacra wounding stress responses during resin extraction

PROVIDER: PRJNA542926 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR9054712.fastq.gz	Fastqsanger.gz
	SRR9054713.fastq.gz	Fastqsanger.gz
	SRR9054714.fastq.gz	Fastqsanger.gz
	SRR9054715.fastq.gz	Fastqsanger.gz

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Transcriptomic analysis of Boswellia sacra wounding stress responses during resin extraction

Project description:Here we report the RNAseq data, related to wounding stress caused for resin production. We extracted RNA from the stem of B. sacra plant collected after 0 day and 30 min of wounding stress (two biological replicates) using the Pure Link Plant RNA reagent kit (Life Technologies, USA) with some modifications and in-house developed HMW RNA extraction method. The de novo assembled transcripts of B. sacra were annotated by performing a BLAST search with the software Blast2GO v.2.6.0 (Conesa et al., 2005). The BLASTx search was done with cut-off E-values of 1.0e−1 and 1.0e−3 against the non-redundant protein sequence database. The same software was used to obtain the gene ontology (GO) information for the assembled transcripts describing different biological processes, molecular function and cellular components.

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Endogenous phytohormones of frankincense producing Boswellia sacra tree populations.

Project description:Boswellia sacra, an endemic tree to Oman, is exposed to man-made incisions for commercial level frankincense production, whereas unsustainable harvesting may lead to population decline. In this case, assessment of endogenous phytohormones (gibberellic acid (GA), indole-acetic acid (IAA), salicylic acid (SA) and kinetin) can help to understand population health and growth dynamics. Hence, it was aimed to devise a robust method using Near-Infrared spectroscopy (NIRS) coupled with multivariate methods for phytohormone analysis of thirteen different populations of B. sacra. NIRS data was recorded in absorption mode (10000-4000 cm-1) to build partial least squares regression model (calibration set 70%). Model was externally cross validated (30%) as a test set to check their prediction ability before the application to quantify the unknown amount of phytohormones in thirteen different populations of B. sacra. The results showed that phytohormonal contents varied significantly, showing a trend of SA>GA/IAA>kinetin across different populations. SA and GA contents were significantly higher in Pop13 (Hasik), followed by Pop2 (Dowkah)-an extreme end of B. sacra tree cover in Dhofar region. A similar trend in the concentration of phytohormones was found when the samples from 13 populations were subjected to advance liquid chromatography mass spectrophotometer and gas chromatograph with selected ion monitor analysis. The current analysis provides alternative tool to assess plant health, which could be important to in situ propagation of tree population as well as monitoring tree population growth dynamics.

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