Project description:Since the molecular mechanism underlying feed efficiency (FE) in slow-growing chickens is poorly understood. Thus, this study aimed to investigate the proteome differences and possible pathways associated with FE in male slow-growing chicken by using a label-free quantitative proteomic approach. At 10 weeks of ages duodenum samples from six animals (three high-FE and three low-FE chickens) were collected for differential abundant proteins (DAPs), protein networks, functional enrichment and pathway analysis. In this study, we found 40 DAPs significantly associated with FE pathways included glycolysis/gluconeogenesis, peroxisome, oxidative phosphorylation, tight junction, and cysteine and methionine metabolism. Thus, the differences of protein driving those pathways affected the FE potential of slow-growing chicken might be interesting candidate biomarkers for genomic selection of animals with a higher efficient feed utilization.
Project description:The expression of genes were analysed in 7th day of embryonic stage between Aseel, an indigenous slow-growing chicken, and control broiler, a fast-growing broiler chicken line. The whole embryo was collected in TRIZOL and total RNA was isolated. The expression profile of gene was determined in 64k Agilent chicken microarray chip. The Cy3 dye was used for detection. The fold change of expression was analysed in Aseel as compared to broiler chicken line.
Project description:RNA-Seq technology was used to investigate differences in the gene expression of pectoralis muscle tissue between two chicken breeds (Ross as commercial (rapidly growing) and Isfahani as Iranian local breed (slow-growing)).
Project description:The expression of genes were analysed in muscle of 18th day of embryonic stage between Aseel, an indigenous slow-growing chicken, and control broiler, a fast-growing broiler chicken line. The whole embryo was collected in TRIZOL and total RNA was isolated. The expression profile of gene was determined in 64k Agilent chicken microarray chip. The Cy3 dye was used for detection. The fold change of expression was analysed in Aseel as compared to broiler chicken line.
Project description:In the modern chicken industry, fast-growing broilers have undergone strong artificial selection for muscle growth, which has led to remarkable phenotypic variations compared with slow-growing chickens. However, the molecular mechanism underlying these phenotypes differences remains unknown. In this study, a systematic identification of candidate genes and new pathways related to myofiber development and composition in chicken Soleus muscle has been made using gene expression profiles of two distinct breeds: Qingyuan partridge (QY), a slow-growing Chinese breed possessing high meat quality and Cobb 500 (CB), a commercial fast-growing broiler line. Agilent cDNA microarray analyses were conducted to determine gene expression profiles of soleus and extensor digitorum longus muscle sampled at sexual maturity age of QY (112 d) and CB (42 d).
Project description:Total DNA was extracted from stool specimens, amplified to collect amplicons of variable V3–V4 regions of the bacterial 16s rRNA gene and sequenced with MiSeq (2x300bp) Illumina platform.
Project description:Total DNA was extracted from saliva and stool of the patients, amplified to collect amplicons of variable V3–V4 regions of the bacterial 16s rRNA gene and sequenced with MiSeq (2x300bp) Illumina platform.
Project description:Total bacterial DNA was isolated from water and sediment samples from a local watershed and 16S rRNA sequences were analyzed using the Illumina MiSeq v3 platform in order to generate snapshots of bacterial community profiles.
Project description:Total DNA was extracted from the stool of the patients, amplified to collect amplicons of variable V3–V4 regions (primers 341F and 805R) of the bacterial 16s rRNA gene and sequenced with MiSeq (2x300bp) Illumina platform.
Project description:Total DNA was extracted from FFPE specimens of breast tumor and surrounding healthy tissue, amplified to collect amplicons of variable V3–V4 regions of the bacterial 16s rRNA gene and sequenced with MiSeq (2x300bp) Illumina platform.
