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Panahi, S.

Publications and source records attributed to Panahi, S..

2 recordsLinked to original sources

Transcriptomic analysis identifies injury-responsive fibroblast populations as potential mediators of Wnt-dependent spinal cord regeneration

BackgroundIn humans and other mammals, spinal cord injury (SCI) can lead to a permanent loss of sensory and motor function, due to the inability of damaged neurons and axons to regenerate. However, other vertebrate species including zebrafish exhibit complete spinal cord regeneration and functional recovery after SCI. Wnt signaling is required for neurogenesis and axon regrowth in a larval zebrafish SCI model, but the genes regulated by this pathway and the cell types that express them remain largely unknown. ResultsIn this study, we used bulk RNA-sequencing (RNAseq) to identify candidate genes regulated by Wnt signaling that are expressed after SCI. Using this unbiased screen, we identified multiple genes previously unassociated with SCI in larval zebrafish, and confirmed by in situ hybridization that their expression is injury-responsive, Wnt-dependent, and localized to fibroblast-like cells surrounding the spinal cord. ConclusionsTogether, our data reveal potential novel gene targets and cell populations that may play important roles in spinal cord regeneration.

developmental biology↗

Population genomics of a natural Cannabis sativa L. collection from Iran identifies novel genetic loci for flowering time, morphology, sex and chemotyping

Future breeding and selection of Cannabis sativa L. for drug production and industrial purposes require a source of germplasm with wide genetic variation, such as that found in wild relatives and progenitors of highly cultivated plants. Limited directional selection and breeding have occurred in this crop, especially informed by molecular markers. Here, we investigated the population genomics of a natural cannabis collection of male and female individuals from differing climatic zones in Iran. Using Genotyping-By-Sequencing (GBS), we sequenced 228 genotypes from 35 populations. The results obtained from GBS were used to perform association analysis identifying links between genotype and important phenotypes, including inflorescence characteristics, flowering time, plant morphology, tetrahydrocannabinol (THC) content, cannabidiol (CBD) content and sex. Approximately 23,266 significant SNPs of high quality were detected to establish associations between markers and traits, and population structure showed that Iranian cannabis plants fall into five groups. A comparison of Iranian samples from this study to global data suggests that the Iranian population is distinctive and, in general, is closer to marijuana than to hemp, although some populations in this collection are closer to hemp. The GWAS results showed that novel genetic loci, not previously identified, contribute to sex, yield and chemotype traits in cannabis and are worthy of further study.

genomics↗