Unlabelled: Blume is an endemic Sri Lankan species commonly known as Ceylon cinnamon or true cinnamon. It is considered the king of spices in addition to its medicinal benefits. Despite recent scientific evidence on its medicinal properties and the industrial demand, cinnamon breeding and crop improvement are not been improved to the expectation. It is mainly due to the limited availability of the genomic information of cinnamon, linked with technical challenges caused by abundant secondary metabolites in all plant parts. Therefore, obtaining high-quality RNA is the fundamental step of transcriptomic analysis and the gene discovery process of cinnamon. We have optimized a CTAB based protocol for high-quality RNA extraction from different cinnamon tissues at various maturity stages collected from the field. Regular pH around 8 and the presence of Polyvinylpyrrolidone (PVP) in CTAB buffer increased the viscosity of the cinnamon lysate. Adjusting the pH of the lysis buffer to 6-6.5 reduced the viscosity of lysate while chloroform precipitates protein efficiently at the adjusted pH with no phenol. Therefore, this protocol excludes PVP and phenol extraction steps. Nanodrop spectrophotometer, gel electrophoresis, and bioanalyzer readings confirmed the quality of extracted RNA. RNA-seq libraries prepared were sequenced with Illumina Sequencing by synthesis technology and obtained good quality data to be used for transcriptomic analysis.
Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-021-02756-1.
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http://dx.doi.org/10.1007/s13205-021-02756-1 | DOI Listing |
Alzheimers Dement
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Brigham and Women's Hospital, Boston, MA, USA.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by the deposition of amyloid-beta and hyperphosphorylated tau (P-tau) proteins in the brain. P-tau accumulates in neurons and is strongly associated with AD severity and affected brain regions. However, only a subset of neurons in AD exhibit tau pathology.
View Article and Find Full Text PDFGenome Biol Evol
January 2025
Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA.
The nocturnal aye-aye, Daubentonia madagascariensis, is one of the most elusive lemurs on the island of Madagascar. The timing of its activity and arboreal lifestyle has generally made it difficult to obtain accurate assessments of population size using traditional census methods. Therefore, alternative estimates provided by population genetic inference are essential for yielding much needed information for conservation measures and for enabling ecological and evolutionary studies of this species.
View Article and Find Full Text PDFCrop Prot
January 2025
International Institute of Tropical Agriculture (IITA), Dar es Salaam, Tanzania, Box 34441, Dar es Salaam, Tanzania.
Formal systems supporting the delivery of high-quality cassava seed are being established in several key cassava producing countries in Africa. Questions remain, however, about the value of certified cassava seed when compared to seed which is recycled multiple times, which is standard farmer practice. A study was therefore conducted to compare fresh cassava root yields of high-quality seed (HQS) versus farmer-saved (recycled) seed (FSS) for three widely grown improved cassava varieties in Tanzania namely: , and .
View Article and Find Full Text PDFRev Cardiovasc Med
December 2024
Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, 100069 Beijing, China.
Background: Because of the limitations in new-generation drug-eluting stents (DES), treatments advocating for non-stents with a drug-coated balloon (DCB) is now of great interest. Here, we conducted a meta-analysis to testify whether a DCB was more effective and safer than a DES in treating de novo coronary artery disease (CAD).
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Adv Sci (Weinh)
December 2024
Department of Information Communication, Army Academy of Armored Forces, Beijing, 100072, China.
Generating computer-generated holograms (CGHs) for 3D scenes by learning-based methods can reconstruct arbitrary 3D scenes with higher quality and faster speed. However, the homogenization and difficulty of obtaining 3D high-resolution datasets seriously limit the generalization ability of the model. A novel approach is proposed to train 3D encoding models based on convolutional neural networks (CNNs) using 2D image datasets.
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