Whole-Genome Sequencing and Concordance Between Antimicrobial Susceptibility Genotypes and Phenotypes of Bacterial Isolates Associated with Bovine Respiratory Disease
Extended laboratory culture and antimicrobial susceptibility testing timelines hinder rapid species identification and susceptibility profiling of bacterial pathogens associated with bovine respiratory disease, the most prevalent cause of cattle mortality in the United States. Whole-genome sequencin...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Oxford University Press
2017-09-01
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| Series: | G3: Genes, Genomes, Genetics |
| Subjects: | |
| Online Access: | http://g3journal.org/lookup/doi/10.1534/g3.117.1137 |
| _version_ | 1819149245118152704 |
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| author | Joseph R. Owen Noelle Noyes Amy E. Young Daniel J. Prince Patricia C. Blanchard Terry W. Lehenbauer Sharif S. Aly Jessica H. Davis Sean M. O’Rourke Zaid Abdo Keith Belk Michael R. Miller Paul Morley Alison L. Van Eenennaam |
| author_facet | Joseph R. Owen Noelle Noyes Amy E. Young Daniel J. Prince Patricia C. Blanchard Terry W. Lehenbauer Sharif S. Aly Jessica H. Davis Sean M. O’Rourke Zaid Abdo Keith Belk Michael R. Miller Paul Morley Alison L. Van Eenennaam |
| author_sort | Joseph R. Owen |
| collection | DOAJ |
| description | Extended laboratory culture and antimicrobial susceptibility testing timelines hinder rapid species identification and susceptibility profiling of bacterial pathogens associated with bovine respiratory disease, the most prevalent cause of cattle mortality in the United States. Whole-genome sequencing offers a culture-independent alternative to current bacterial identification methods, but requires a library of bacterial reference genomes for comparison. To contribute new bacterial genome assemblies and evaluate genetic diversity and variation in antimicrobial resistance genotypes, whole-genome sequencing was performed on bovine respiratory disease–associated bacterial isolates (Histophilus somni, Mycoplasma bovis, Mannheimia haemolytica, and Pasteurella multocida) from dairy and beef cattle. One hundred genomically distinct assemblies were added to the NCBI database, doubling the available genomic sequences for these four species. Computer-based methods identified 11 predicted antimicrobial resistance genes in three species, with none being detected in M. bovis. While computer-based analysis can identify antibiotic resistance genes within whole-genome sequences (genotype), it may not predict the actual antimicrobial resistance observed in a living organism (phenotype). Antimicrobial susceptibility testing on 64 H. somni, M. haemolytica, and P. multocida isolates had an overall concordance rate between genotype and phenotypic resistance to the associated class of antimicrobials of 72.7% (P < 0.001), showing substantial discordance. Concordance rates varied greatly among different antimicrobial, antibiotic resistance gene, and bacterial species combinations. This suggests that antimicrobial susceptibility phenotypes are needed to complement genomically predicted antibiotic resistance gene genotypes to better understand how the presence of antibiotic resistance genes within a given bacterial species could potentially impact optimal bovine respiratory disease treatment and morbidity/mortality outcomes. |
| first_indexed | 2024-12-22T13:58:32Z |
| format | Article |
| id | doaj.art-2bebb5c1ad83414db021a0e1afe9155a |
| institution | Directory Open Access Journal |
| issn | 2160-1836 |
| language | English |
| last_indexed | 2024-12-22T13:58:32Z |
| publishDate | 2017-09-01 |
| publisher | Oxford University Press |
| record_format | Article |
| series | G3: Genes, Genomes, Genetics |
| spelling | doaj.art-2bebb5c1ad83414db021a0e1afe9155a2022-12-21T18:23:29ZengOxford University PressG3: Genes, Genomes, Genetics2160-18362017-09-01793059307110.1534/g3.117.113716Whole-Genome Sequencing and Concordance Between Antimicrobial Susceptibility Genotypes and Phenotypes of Bacterial Isolates Associated with Bovine Respiratory DiseaseJoseph R. OwenNoelle NoyesAmy E. YoungDaniel J. PrincePatricia C. BlanchardTerry W. LehenbauerSharif S. AlyJessica H. DavisSean M. O’RourkeZaid AbdoKeith BelkMichael R. MillerPaul MorleyAlison L. Van EenennaamExtended laboratory culture and antimicrobial susceptibility testing timelines hinder rapid species identification and susceptibility profiling of bacterial pathogens associated with bovine respiratory disease, the most prevalent cause of cattle mortality in the United States. Whole-genome sequencing offers a culture-independent alternative to current bacterial identification methods, but requires a library of bacterial reference genomes for comparison. To contribute new bacterial genome assemblies and evaluate genetic diversity and variation in antimicrobial resistance genotypes, whole-genome sequencing was performed on bovine respiratory disease–associated bacterial isolates (Histophilus somni, Mycoplasma bovis, Mannheimia haemolytica, and Pasteurella multocida) from dairy and beef cattle. One hundred genomically distinct assemblies were added to the NCBI database, doubling the available genomic sequences for these four species. Computer-based methods identified 11 predicted antimicrobial resistance genes in three species, with none being detected in M. bovis. While computer-based analysis can identify antibiotic resistance genes within whole-genome sequences (genotype), it may not predict the actual antimicrobial resistance observed in a living organism (phenotype). Antimicrobial susceptibility testing on 64 H. somni, M. haemolytica, and P. multocida isolates had an overall concordance rate between genotype and phenotypic resistance to the associated class of antimicrobials of 72.7% (P < 0.001), showing substantial discordance. Concordance rates varied greatly among different antimicrobial, antibiotic resistance gene, and bacterial species combinations. This suggests that antimicrobial susceptibility phenotypes are needed to complement genomically predicted antibiotic resistance gene genotypes to better understand how the presence of antibiotic resistance genes within a given bacterial species could potentially impact optimal bovine respiratory disease treatment and morbidity/mortality outcomes.http://g3journal.org/lookup/doi/10.1534/g3.117.1137Histophilus somniMycoplasma bovisMannheimia haemolyticaPasteurella multocida |
| spellingShingle | Joseph R. Owen Noelle Noyes Amy E. Young Daniel J. Prince Patricia C. Blanchard Terry W. Lehenbauer Sharif S. Aly Jessica H. Davis Sean M. O’Rourke Zaid Abdo Keith Belk Michael R. Miller Paul Morley Alison L. Van Eenennaam Whole-Genome Sequencing and Concordance Between Antimicrobial Susceptibility Genotypes and Phenotypes of Bacterial Isolates Associated with Bovine Respiratory Disease G3: Genes, Genomes, Genetics Histophilus somni Mycoplasma bovis Mannheimia haemolytica Pasteurella multocida |
| title | Whole-Genome Sequencing and Concordance Between Antimicrobial Susceptibility Genotypes and Phenotypes of Bacterial Isolates Associated with Bovine Respiratory Disease |
| title_full | Whole-Genome Sequencing and Concordance Between Antimicrobial Susceptibility Genotypes and Phenotypes of Bacterial Isolates Associated with Bovine Respiratory Disease |
| title_fullStr | Whole-Genome Sequencing and Concordance Between Antimicrobial Susceptibility Genotypes and Phenotypes of Bacterial Isolates Associated with Bovine Respiratory Disease |
| title_full_unstemmed | Whole-Genome Sequencing and Concordance Between Antimicrobial Susceptibility Genotypes and Phenotypes of Bacterial Isolates Associated with Bovine Respiratory Disease |
| title_short | Whole-Genome Sequencing and Concordance Between Antimicrobial Susceptibility Genotypes and Phenotypes of Bacterial Isolates Associated with Bovine Respiratory Disease |
| title_sort | whole genome sequencing and concordance between antimicrobial susceptibility genotypes and phenotypes of bacterial isolates associated with bovine respiratory disease |
| topic | Histophilus somni Mycoplasma bovis Mannheimia haemolytica Pasteurella multocida |
| url | http://g3journal.org/lookup/doi/10.1534/g3.117.1137 |
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