Belay, B. | Search bioRxiv

bioRxiv2024

Impact of Blended NPSB Fertilizer Rates on Sugarcane (Saccharum officinarum L.) Varieties: Seed Cane Yield and Quality Insights from North Western Ethiopia

Sugarcane primarily cultivated for sugar production and other multiple uses. A field experiment was conducted at Tana Beles sugar project, North western Ethiopia during 2021 and 2022 cropping season to determine the optimum rate of NPSB fertilizer rate on three sugarcane varieties. The treatments were laid out in factorial randomized complete block design arranged with three replications. The experiment was arranged with five levels of NPSB blended fertilizer (0, 200, 260, 320 and 380 kg ha-1) combined with three sugarcane varieties (NCO-334, N-14 and C86/56). Among the parameters of seed cane crop; germination percent stalk weight, stalk diameter, node length, inter node number, plant height, stalk population, and sett yield for growth and yield parameters and sett moisture content, sett nitrogen content, reducing sugar content and total sugar content for seed cane quality parameters significantly affected by applied NPSB fertilizer, varieties and their interaction (p<0.05). Brix% and pol% were not significantly affected by different rates of NPSB fertilizer rates and varieties (p<0.05). The highest leaf area index, plant population, sett yield, average cane weight, seed cane moisture content and total nitrogen content was attained with 380 kg ha-1NPSB fertilizer applied on variety NCO-334 and N-14. Maximum population stand, average plant height, and sett yield of verity C86/56 were recorded at 320 kg ha-1 NPSB fertilizer level. Sett yield, were positively correlated with germination percent, population stand count, inter node number, seed cane weight, seed cane diameter reducing sugar content, total sugar yield and sett moisture content. Therefore, it is advisable to recommend 380 kg NPSB ha1 for variety NCO-334 and N-14, and 320 kg NPSB ha1 for variety C86/56 with application of 160 kg ha-1 urea at the age of two month and half for effective seed cane production. It was aimed to fill the seed cane fertilizer rate problems of different sugarcane varieties.

plant biology↗

bioRxiv2022

A Meta-analysis of 2D vs. 3D Ovarian Cancer Cellular Models

Three-dimensional (3D) cancer models are revolutionizing research, allowing for the recapitulation of in vivo like response through the use of an in vitro system, more complex and physiologically relevant than traditional mono-layer culture. Cancers such as ovarian (OvCa), are prone to developing resistance and are often lethal, and stand to benefit greatly from the enhanced modelling emulated by 3D culture. However current models often fall short of predicted response where reproducibility is limited owing to the lack of standardized methodology and established protocols. This meta-analysis aims to assess the current scope of 3D OvCa models and the differences in genetic profile presented by a vast array of 3D cultures. A meta-analysis of the literature (Pubmed.gov) spanning 2012 - 2022, was used to identify studies with comparable monolayer (2D) counterparts in addition to RNA sequencing and microarray data. From the data 19 cell lines were found to show differential regulation in their gene expression profiles depending on the bio-scaffold (i.e. agarose, collagen or Matrigel) compared to 2D cell cultures. Top genes differentially expressed 2D vs. 3D include C3, CXCL1, 2 and 8, IL1B, SLP1, FN1, IL6, DDIT4, PI3, LAMC2, CCL20, MMP1, IFI27, CFB, and ANGPTL4. Top Enriched Gene sets for 2D vs. 3D include IFN- and IFN-{gamma} Response, TNF- signalling, IL-6-JAK-STAT3 signalling, angiogenesis, hedgehog signalling, apoptosis, epithelial mesenchymal transition, hypoxia, and inflammatory response. Our transversal comparison of numerous scaffolds allowed us to highlight the variability that can be induced by these scaffolds in the transcriptional landscape as well as identifying key genes and biological processes that are hallmarks of cancer cells grown in 3D cultures. Future studies are needed to identify which is the most appropriate in vitro/preclinical model to study tumour microenvironment. SummaryOvarian cancer is one of the most lethal forms of female cancers. Cell culture is often the go to model to study the molecular processes of cancer. However, this is an oversimplification of the reality. 3D tissue culture has been developed to address the cell culture limitations and to provide a more realistic model of the system studied. Cells grown in 3D represent better the human tumour microenvironment. This meta-analysis is exploring the use of 3D tissue culture as a model of ovarian cancer. Our analysis shows that ovarian cancer cells grown in 3D exhibit enhanced regulation in processes pertinent to tumour development and progression. We identify a panel of genes associated with specific 3D growth conditions that could be used as conditional markers. Finally, we present an overview of the state-of-art of 3D culture with an extensive profile of the genes and pathways enhanced in ovarian cancer models.

bioinformatics↗