Metatranscriptomic Analysis of Sub-Acute Ruminal Acidosis in Beef Cattle.
Ibukun M OgunadeAndres A Pech-CervantesHank SchweickartPublished in: Animals : an open access journal from MDPI (2019)
Subacute ruminal acidosis (SARA) is a metabolic disease of ruminants characterized by low pH, with significant impacts on rumen microbial activity, and animal productivity and health. Microbial changes during subacute ruminal acidosis have previously been analyzed using quantitative PCR and 16S rRNA sequencing, which do not reveal the actual activity of the rumen microbial population. Here, we report the functional activity of the rumen microbiota during subacute ruminal acidosis. Eight rumen-cannulated Holstein steers were assigned randomly to acidosis-inducing or control diet. Rumen fluid samples were taken at 0, 3, 6, and 9 h relative to feeding from both treatments on the challenge day. A metatranscriptome library was prepared from RNA extracted from the samples and the sequencing of the metatranscriptome library was performed on Illumina HiSeq4000 following a 2 × 150 bp index run. Cellulolytic ruminal bacteria including Fibrobacter succinogenes, Ruminococcus albus, and R. bicirculans were reduced by an induced acidotic challenge. Up to 68 functional genes were differentially expressed between the two treatments. Genes mapped to carbohydrate, amino acid, energy, vitamin and co-factor metabolism pathways, and bacterial biofilm formation pathways were enriched in beef cattle challenged with sub-acute acidosis. This study reveals transcriptionally active taxa and metabolic pathways of rumen microbiota during induced acidotic challenge.
Keyphrases
- biofilm formation
- drug induced
- microbial community
- liver failure
- genome wide
- single cell
- staphylococcus aureus
- high glucose
- pseudomonas aeruginosa
- amino acid
- healthcare
- public health
- candida albicans
- respiratory failure
- escherichia coli
- physical activity
- gene expression
- aortic dissection
- risk assessment
- bioinformatics analysis
- hepatitis b virus
- genome wide identification
- cystic fibrosis
- intensive care unit
- transcription factor
- genome wide analysis
- human health