Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Mycoplasmopsis agalactiae

ABSTRACT: Genomic and epigenomic of Mycoplasma agalactiae

PROVIDER: PRJNA717738 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR14182644_subreads.fastq.gz	Fastqsanger.gz
	SRR14182645_subreads.fastq.gz	Fastqsanger.gz
	SRR14329202_1.fastq.gz	Fastqsanger.gz
	SRR14329202_2.fastq.gz	Fastqsanger.gz
	SRR14329203_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 26

Similar Datasets

Mycoplasma pneuminiae and Mycoplasma agalactiae Proteomics

Project description:During evolution, each bacterial strain shapes its metabolism in order to colonise a diversity of niches. Unraveling the biochemical reactions underlying bacteria metabolism is important for biotechnological purposes and for understanding relationships within a complex microbiome as well as the microbiome’s connection with its host. Here we propose a new approach to identifying active metabolic pathways, by integrating essentiality analysis and protein abundance. As an example, we used two bacterial species (Mycoplasma pneumoniae and Mycoplasma agalactiae) that share a high gene similarity yet show significant metabolic differences. After integrating all available metabolic knowledge about their enzymes, metabolites and reactions, we built detailed metabolic maps of their carbon metabolism. We determined the carbon sources that allow growth in M. agalactiae (as known for M. pneumoniae) and introduced glucose-dependent growth in M. agalactiae. By analyzing gene essentiality and performing quantitative proteomics, we could predict the active metabolic pathways and directionalities for the sugar, phospholipids, DNA/RNA precursors, glycoproteins, and glycolipids metabolism of these two bacteria. Comparison between predicted and experimentally determined active pathways shows an excellent agreement. Thus, protein essentiality profiling using transposon sequencing analysis combined with quantitative proteomics and metabolic maps could be used to determine and engineer metabolic fluxes.

2020-06-08 | PXD015800 | Pride

Transcriptional profiling of mammary gland and spleen from Mycoplasma agalactiae infected sheep

Project description:We used RNA-seq to investigate gene expression changes in sheep mammary gland and spleen tissue after experimental infection with Mycoplasma agalactiae (strain PG2). Sheep (3 per each group) were given an intra-mammary infection with 10^9 cfu infectious organisms or PBS as control. The animals were euthanized 15 days post infection to obtain the samples. Two replicates of mammary gland and spleen tissue per animal were used for Illumina RNA-sequencing.

2016-11-14 | E-MTAB-5216 | biostudies-arrayexpress

Mycoplasmopsis agalactiae 14628

Project description:Mycoplasmopsis agalactiae 14628 Genome sequencing and assembly

| PRJNA76359 | ENA

Mycoplasmopsis agassizii

Project description:Mycoplasma agassizii genomic diversity

| PRJNA655797 | ENA

Mycoplasmopsis agalactiae strain:GrTh01

Project description:Mycoplasmopsis agalactiae strain:GrTh01 Genome sequencing

| PRJNA530162 | ENA

Mycoplasmopsis agalactiae strain:HOWD44

Project description:Mycoplasmopsis agalactiae strain:HOWD44 Genome sequencing