Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.
Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.
Project description:The mammary gland redeveloped to the pre-pregnancy state during involution, which shows that the mammary cells have the characteristics of remodeling. The rapidity and degree of mammary gland involution are different between mice and dairy livestock (dairy cows and dairy goats). However, the molecular genetic mechanism of miRNA in involution and remodeling of goat mammary gland has not yet been clarified. Therefore, this study carried out the RNA-sequencing of nonlactating mammary gland tissue of dairy goats in order to reveal the transcriptome characteristics of miRNA in nonlactating mammary tissues and clarify the molecular genetic mechanism of miRNA in mammary cell involution and remodeling.
Project description:We applied metagenomic shotgun sequencing to investigate the effects of ZEA exposure on the change of mouse gut microbiota composition and function.
Project description:The mammary gland redeveloped to the pre-pregnancy state during involution, which shows that the mammary cells have the characteristics of remodeling. The rapidity and degree of mammary gland involution are different between mice and dairy livestock (dairy cows and dairy goats). However, the molecular genetic mechanism of involution and remodeling of goat mammary gland has not yet been clarified. Therefore, this study carried out the RNA-sequencing of nonlactating mammary gland tissue of dairy goats in order to reveal the transcriptome characteristics of nonlactating mammary tissues and clarify the molecular genetic mechanism of mammary cell involution and remodeling.
2021-10-22 | GSE185981 | GEO
Project description:Metagenomic of Dairy Goats: Ileum contents
| PRJNA1204907 | ENA
Project description:Metagenomic of Dairy Goats: Jejunum contents
Project description:Five healthy Laoshan dairy goats (four years old, third lactation) from Qingdao Laoshan dairy goat primary farm (Shandong Province, China) were used. The mammary gland samples were collected surgically after general anaesthesia using Xylazine Hydrochloride injection solution (Huamu Animal Health Products Co., Ltd. China) at corresponding lactation stage, including early, peak and late lactations.
Project description:<p>Background</p><p>In large scale dairy farming systems, maintaining stable milk yield post-lactation peak is crucial for dairy farms’ economic benefits. While sufficient evidence shows the microbiota profoundly impacts host production efficiency, the specific mechanisms by which hindgut microbiota support mid lactation milk performance via host-microbe interactions remain unclear. This study focused on the hindgut microbial ecosystem. By analyzing hindgut microbial composition and metabolic differences between high and low yield cows during mid-lactation, and conducting metabolite intervention, we clarified the biological mechanism by which hindgut microbiota regulates milk production through host interactions.</p><p>Results</p><p>Shotgun metagenomics, untargeted metabolomics, and targeted metabolomics of high versus normal-yield cows revealed that high-yield animals harbored distinct hindgut microbial communities enriched in bile salt hydrolase–positive taxa, and elevated levels of deoxycholic acid (DCA). Fecal microbiota transplantation from high-yield donors into antibiotic-treated recipient mice increased their milk production, accompanied by a shift in circulating bile acid profiles towards higher DCA. Oral administration of DCA to antibiotic-treated mice partially recapitulated these mammary and lactation phenotypes, supporting a causal contribution of bile acids downstream of the microbiota. In lactating cows, supplementation with a rumen-protected DCA formulation enhanced cumulative energy-corrected milk yield and tended to increase daily milk yield. DCA can directly upregulate the expression of genes related to the cell cycle progression in dairy cow mammary glands, thereby promoting and maintaining the activity of mammary epithelial cells in mid-lactation cows to support milk production.</p><p>Conclusions</p><p>Our multi-layered evidence demonstrates that hindgut microbiota-derived secondary bile acids, particularly DCA, act along a gut–mammary axis to enhance mammary epithelial function and lactation performance in dairy cows. These findings broaden the conceptual framework of microbiota–epithelial crosstalk and suggest microbial bile acid metabolism as a tractable target to improve lactation efficiency in ruminants.</p>
Project description:Staphylococcus aureus is recognized worldwide as a major pathogen causing clinical or subclinical intramammary infections in all the dairy species (sheep, goats and cows). The present study was designed to comparatively investigate 65 S. aureus isolates recovered from dairy sheep and S. aureus suclinical mastitis from cows (n=21) and goats (n=22), for the presence of 190 putative virulence determinants with a single-dye DNA microarray and PCR. The probes (65 mer) were mainly designed from the S. aureus Mu50. The extracted DNA of each strain was labelled with Cy5. The microarray results were validated with PCR.The genomic comparative study with the DNA microarrays showed lineage and species specificity genes leading to the host-specific pathogenic traits of S. aureus in dairy species.