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Metagenomic investigation of potential abortigenic pathogens in foetal tissues from Australian horses.

Authors :
Akter, Rumana
El-Hage, Charles M.
Sansom, Fiona M.
Carrick, Joan
Devlin, Joanne M.
Legione, Alistair R.
Source :
BMC Genomics. 10/2/2021, Vol. 22 Issue 1, p1-14. 14p.
Publication Year :
2021

Abstract

Background: Abortion in horses leads to economic and welfare losses to the equine industry. Most cases of equine abortions are sporadic, and the cause is often unknown. This study aimed to detect potential abortigenic pathogens in equine abortion cases in Australia using metagenomic deep sequencing methods. Results: After sequencing and analysis, a total of 68 and 86 phyla were detected in the material originating from 49 equine abortion samples and 8 samples from normal deliveries, respectively. Most phyla were present in both groups, with the exception of Chlamydiae that were only present in abortion samples. Around 2886 genera were present in the abortion samples and samples from normal deliveries at a cut off value of 0.001% of relative abundance. Significant differences in species diversity between aborted and normal tissues was observed. Several potential abortigenic pathogens were identified at a high level of relative abundance in a number of the abortion cases, including Escherichia coli, Klebsiella pneumoniae, Klebsiella oxytoca, Streptococcus equi subspecies zooepidemicus, Pantoea agglomerans, Acinetobacter lwoffii, Acinetobacter calcoaceticus and Chlamydia psittaci. Conclusions: This work revealed the presence of several potentially abortigenic pathogens in aborted specimens. No novel potential abortigenic agents were detected. The ability to screen samples for multiple pathogens that may not have been specifically targeted broadens the frontiers of diagnostic potential. The future use of metagenomic approaches for diagnostic purposes is likely to be facilitated by further improvements in deep sequencing technologies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712164
Volume :
22
Issue :
1
Database :
Academic Search Index
Journal :
BMC Genomics
Publication Type :
Academic Journal
Accession number :
152765008
Full Text :
https://doi.org/10.1186/s12864-021-08010-5