Bovine metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA563872 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10098300_1.fastq.gz | Fastqsanger.gz | |||
| SRR10098300_2.fastq.gz | Fastqsanger.gz | |||
| SRR10098301_1.fastq.gz | Fastqsanger.gz | |||
| SRR10098301_2.fastq.gz | Fastqsanger.gz | |||
| SRR10098302_1.fastq.gz | Fastqsanger.gz |
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Project description:The severity of negative energy balance (NEB) in high-producing dairy cows has a high incidence among health diseases. The periparturient period is crucial for the health status and reproductive performance of dairy cows. During this period, dairy cows experience a transition from a pregnant, non-lactating state to a non-pregnant, lactating state. At the beginning of lactation, the energy needs for milk production are higher than the available energy consumed from feed intake, resulting in a negative energy balance (NEB)]. While in a NEB, cows mobilise their reserves from adipose tissue, resulting in elevated plasma concentrations of non-esterified fatty acids (NEFAs), which are used as a fuel source by peripheral tissues and the mammary gland for milk fat synthesis. Thus, white adipose tissue is one of the main tissue involved in the energy production during this transition period. So the objectives of our study were to dentify mRNA differentially expressed in white adipose before and after calving in dairy cow fed with low (LE) and high (HE) energy diet.
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Project description:We hypothesized that accumulation of milk would influence gene expression in the mammary gland of lactating dairy cows. To test this hypothesis, we enrolled 4 multiparous Holstein cows (150 M-BM-1 10 DIM) in a half-udder milk stasis experiment. On day 1 of the experiment, cows were milked at 0430 h and at 1430 h, only right udder halves were milked. Mammary biopsies were obtained from both udder halves on day 2 of the experiment at 0500 h, immediately after right udder halves were milked and 12 h since left udder halves had last been milked. Using Affymetrix GeneChipM-BM-. Bovine Genome Arrays, we identified 32 genes that were differentially expressed between left (full) and right (empty) udder halves (fold change > 1.5; P < 0.05). Four of the genes were downregulated in response to milk stasis, whereas 28 were upregulated. Differentially expressed genes were associated with extracellular matrix remodeling, tight junction formation, regulation of blood flow, and apoptosis. In addition, four of the differentially expressed genes had been previously identified as candidates for local regulation of milk production in dairy cows. Expression of two of these candidates, early growth response-1 (EGR-1) and thrombospondin-1 (THBS-1), was validated using real-time quantitative RT-PCR. Consistent with microarray results, both genes were upregulated in response to 24-h of milk stasis (P < 0.03). Immunofluorescence was used to localize expression of EGR-1 protein, which was restricted to epithelia and was uniformly distributed. We conclude that accumulation of milk alters gene expression in the bovine mammary gland. In particular, EGR-1 and THBS-1 have emerged as strong candidates for local regulation of milk production in dairy cows. 8 samples from 4 cows
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Project description:We hypothesized that accumulation of milk would influence gene expression in the mammary gland of lactating dairy cows. To test this hypothesis, we enrolled 4 multiparous Holstein cows (150 ± 10 DIM) in a half-udder milk stasis experiment. On day 1 of the experiment, cows were milked at 0430 h and at 1430 h, only right udder halves were milked. Mammary biopsies were obtained from both udder halves on day 2 of the experiment at 0500 h, immediately after right udder halves were milked and 12 h since left udder halves had last been milked. Using Affymetrix GeneChip® Bovine Genome Arrays, we identified 32 genes that were differentially expressed between left (full) and right (empty) udder halves (fold change > 1.5; P < 0.05). Four of the genes were downregulated in response to milk stasis, whereas 28 were upregulated. Differentially expressed genes were associated with extracellular matrix remodeling, tight junction formation, regulation of blood flow, and apoptosis. In addition, four of the differentially expressed genes had been previously identified as candidates for local regulation of milk production in dairy cows. Expression of two of these candidates, early growth response-1 (EGR-1) and thrombospondin-1 (THBS-1), was validated using real-time quantitative RT-PCR. Consistent with microarray results, both genes were upregulated in response to 24-h of milk stasis (P < 0.03). Immunofluorescence was used to localize expression of EGR-1 protein, which was restricted to epithelia and was uniformly distributed. We conclude that accumulation of milk alters gene expression in the bovine mammary gland. In particular, EGR-1 and THBS-1 have emerged as strong candidates for local regulation of milk production in dairy cows.
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High-performing dairy cows require a particular composition of nutritional ingredients, adapted to their individual requirements and depending on their production status. The optimal dimensioning of minerals in the diet, one being potassium, is indispensable for the prevention of imbalances. Potassium balance in cows is the result of potassium intake, distribution in the organism, and excretion, and it is closely related to glucose and electrolyte metabolism. In this paper, we present a dynamical model for potassium balance in lactating and nonlactating dairy cows based on ordinary differential equations. Parameter values were obtained from clinical trial data and from the literature. To verify the consistency of the model, we present simulation outcomes for 3 different scenarios: potassium balance in (1) nonlactating cows with varying feed intake, (2) nonlactating cows with varying potassium fraction in the diet, and (3) lactating cows with varying milk production levels. The results give insights into the short- and long-term potassium metabolism, providing an important step toward the understanding of the potassium network, the design of prophylactic feed additives, and possible treatment strategies.
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