Project description:Using molecular marker-assisted selection, genetic molecular markers related to growth performance of goose buns. First, simplified genomic sequencing (RAD-sequencing) technology was used to screen SNPs with significant differences in allele frequencies between high and low growth performance groups, and the correlation between these SNPs and goose body weight was further analyzed through population verification. Based on this, the genes of SNPs were cloned. And study gene function. SNPs significantly related to growth performance were used as molecular markers in actual breeding of geese. The SNP from this project was originally reported in the 3-prime direction (C/T) (VCF G/A 5-prime).
2020-03-13 | PRJEB37244 | EVA
Project description:Identification of molecular markers associated with disease and insect resistance for marker assisted selection (MAS) in tomato (Solanum lycopersicum) breeding programs
Project description:We report the application of RNA- sequencing technology for high-throughput profiling of histone modifications in mammalian cellsor identification of expressed genes upon infection by Spongospora subterranea. Using RNA-sequencing (RNA-seq), 2058 differentially expressed genes (DEGs) were identified from two potato cultivars (tolerant and susceptible) in response to Sss infection. Analysis of the expression patterns of ten selected defense-response genes was carried out at two different stages of tuber growth using RT-qPCR to validate the RNA-seq data. Several defense related genes showed contrasting expression patterns between the tolerant and susceptible cultivars, including marker genes involved in the salicylic acid hormonal response pathway (StMRNA, StUDP and StWRKY6). Induction of six defense related genes (StWRKY6, StTOSB, StSN2, StLOX, StUDP and StSN1) persisted until harvest of the tubers, while three other genes (StNBS, StMRNA and StPRF) were highly up-regulated during the initial stages of disease development. The results of this study suggested that the tolerant potato cultivar employs quantitative resistance and salicylic acid pathway hormonal responses against tuber infection by Sss. The identified genes have the potential to be used in the development of molecular markers for selection of powdery scab resistant potato lines in marker assisted breeding programs.
Project description:Association Genetics can quickly and efficiently delineate regions of the genome that control traits and provide markers to accelerate breeding by marker-assisted selection. The requirements for many markers and a genome sequence to order those markers have limited its exploitation in crops. To harness this approach for use in a broad range of crops, even those with complex genomes, we developed an approach based on transcriptome sequencing to exploit markers representing variation in both gene sequences and gene expression. We term this approach Associative Transcriptomics. Applying it successfully in Brassica napus, as an example, we identified that genomic deletions including orthologues of the transcription factor controlling aliphatic glucosinolate biosynthesis in Arabidopsis thaliana, HAG1 (At5g61420), underlie two QTL for glucosinolate content of seeds.
Project description:Ascochyta blight, caused by Peyronellaea pinodes, is one of major diseases of pea worldwide. Only low levels of resistance are available in pea cultivars. Quantitative Trait Loci associated with resistance to this disease have been identified, but the resistant genes underlying these QTLs are unknown making difficult marker assisted selection. In complex traits involving protein modifications and changes in protein abundance, quantitative protein estimation can be useful as alternative markers for breeding. In this study, we have developed a targeted proteomic strategy to identify protein markers associated with resistance and explore the feasibility of using them in breeding selection. For such purpose, in a first step a list of target peptides was generated based on proteins highly related to P. pinodes resistance by using two genotypes showing extreme behavior. Subsequently, a second experiment was carried out in a population segregating for resistance. Those peptides constitutively more abundant in the resistant lines were selected as potential markers of resistance to P. pinodes. Based on the results obtained, attending to the functions and correlation among the significantly increased proteins in response to Ascochyta blight, we propose a mechanism of defense in pea. As far as we know, this is the first time that such targeted proteomic strategy (shotgun combined data-independent analysis) is used to identify markers of resistance to this disease.
Project description:Establishment of an in vitro system to explore molecular mechanisms of mastitis susceptibility in cattle by comparative expression profiling of Escherichia coli and Staphylococcus aureus inoculated primary cells sampled from cows with different genetic predisposition for somatic cell score Primary bovine mammary gland epithelial cells (pbMEC) were sampled from the udder parenchyma of cows that were selected for high and low mastitis susceptibility by applying a marker assisted selection strategy considering QTL and molecular marker information of a repetitively confirmed QTL for SCS in the telomeric region on BTA18 The cells were cultivated and subsequently inoculated with heat inactivated mastitis pathogens Escherichia coli and Staphylococcus aureus, respectively. After 1, 6 and 24 hours the cells were harvested and comparatively analyzed using microarray expression chip technology to identify differences in mRNA expression profiles attributed to cultivation, inoculation or to genetic predisposition. Six heifers inheriting the favorable paternal QTL allele and five heifers inheriting the unfavorable QTL allele were selected by applying a marker assisted selection strategy. All heifers were kept under the same environmental conditions, had no clinical mastitis and did not show any indication of bacterial infection at slaughter. Primary bovine mammary gland epithelial cell cultures were established from cells sampled from the udder parenchyma of each cow. The cells were challenged with heat inactivated Escherichia coli and Staphylococcus aureus or with PBS for control. After 1, 6 and 24 hours the cells were harvested and mRNA expression was comparatively analyzed between time points for each treatment and each paternally inherited SCS-BTA18-QTL allele, respectively. In addition, the differences in gene expression at time points 1, 6 and 24h between inoculated and respective uninoculated control cells were investigated using the short time series expression miner STEM for co-expression profiling and GO cattegory enrichment analyses.
Project description:Establishment of an in vitro system to explore molecular mechanisms of mastitis susceptibility in cattle by comparative expression profiling of Escherichia coli and Staphylococcus aureus inoculated primary cells sampled from cows with different genetic predisposition for somatic cell score Primary bovine mammary gland epithelial cells (pbMEC) were sampled from the udder parenchyma of cows that were selected for high and low mastitis susceptibility by applying a marker assisted selection strategy considering QTL and molecular marker information of a repetitively confirmed QTL for SCS in the telomeric region on BTA18 The cells were cultivated and subsequently inoculated with heat inactivated mastitis pathogens Escherichia coli and Staphylococcus aureus, respectively. After 1, 6 and 24 hours the cells were harvested and comparatively analyzed using microarray expression chip technology to identify differences in mRNA expression profiles attributed to cultivation, inoculation or to genetic predisposition.
Project description:The current study makes use of NanoString targeted technology to profile urinary exosomal miRNAs from IgA nephropathy affected patients and corresponding healthy controls. Circulatory biomarkers were detected for IgA nephropathy from Indian cohort which can be made used for the diagnostic therapy. 14 miRNAs were detected to be related to the disregulation in miRNome of IgA nephropathy patients using lasso feature selection method, out of which multiple miRNAs like hsa.mir.146b.3p, hsa.mir.599 and many more was resulted with high AUROC values >=0.9 efficient in differentiating between healthy controls and IgA nephropathy condition. These markers can be use further in the diagnosis and treatment of IgAN.