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Genome Sequence of Mannheimia haemolytica MHA.Sh.MOR19 Serotype 1, a Moroccan Sheep Isolate
Dounia Bkiri1,2, Siham Fellahi2, Slimane Khayi3
1Research and Development Department, Multi-Chemical Industry, Mohammedia, Morocco.
Abstract:
Mannheimia haemolytica is the principle bacterial pathogen in ruminants associated with respiratory disease. Here, we report the draft genome sequence of the Mannheimia haemolytica MHA.Sh.MOR19 strain that was recently isolated in the northwest of Morocco from the lung of a lamb that died from pneumonia. The genome size is 2,434,458 bp.
Insights
Researchers sequenced the genome of Mannheimia haemolytica, a key bacterial pathogen causing respiratory illness in ruminants. This study provides genomic data for M. haemolytica MHA.Sh.MOR19, isolated from a lamb with pneumonia in Morocco.
Area of Science:
- Veterinary Microbiology
- Genomics
- Ruminant Health
Background:
- Mannheimia haemolytica is a primary bacterial pathogen responsible for respiratory disease in ruminants.
- Bovine respiratory disease complex (BRDC) significantly impacts livestock health and economic productivity.
- Understanding M. haemolytica's genetic makeup is crucial for developing effective control strategies.
Purpose of the Study:
- To report the draft genome sequence of Mannheimia haemolytica MHA.Sh.MOR19.
- To provide a genomic resource for a strain isolated from a case of ovine pneumonia in Morocco.
Main Methods:
- Whole-genome sequencing of Mannheimia haemolytica MHA.Sh.MOR19.
- Bioinformatic analysis of the resulting draft genome sequence.
Main Results:
- The draft genome sequence of M. haemolytica MHA.Sh.MOR19 was successfully generated.
- The genome size was determined to be 2,434,458 base pairs.
- The strain was isolated from the lung of a lamb exhibiting pneumonia symptoms in Morocco.
Conclusions:
- The availability of this draft genome sequence contributes to the genomic database of Mannheimia haemolytica.
- This resource can aid future research into M. haemolytica pathogenesis and virulence factors.
- Genomic insights may support the development of novel diagnostics and therapeutics for ruminant respiratory diseases.
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