Predictive comparative antibiotic resistance (AMR) profiles of rhizobacteria genes using CARD: a bioinformatics approach
Members of the Plant Growth Promoting Rhizobacteria (PGPR) have been severally implicated as excellent growth enhancers, yield promoters as well as bio-fertilizers. A study on antibiotics surveillance of PGPR is urgently needed as caution towards its continued usage in Bio-science and Agro-allied. A...
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| Format: | Article |
| Language: | English |
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International Library of Sciences
2020-09-01
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| Series: | Highlights in BioScience |
| Subjects: | |
| Online Access: | http://highlightsin.org/index.php/bioscience/article/view/58 |
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| author | Adeoti Olatunde Micheal Oni Abosede Catherine Adeoye Kafilat Adenike Adeoti Oluwole Adeola Adeoye Basirat Adedamola Adesina David Ademola |
| author_facet | Adeoti Olatunde Micheal Oni Abosede Catherine Adeoye Kafilat Adenike Adeoti Oluwole Adeola Adeoye Basirat Adedamola Adesina David Ademola |
| author_sort | Adeoti Olatunde Micheal |
| collection | DOAJ |
| description | Members of the Plant Growth Promoting Rhizobacteria (PGPR) have been severally implicated as excellent growth enhancers, yield promoters as well as bio-fertilizers. A study on antibiotics surveillance of PGPR is urgently needed as caution towards its continued usage in Bio-science and Agro-allied. Antimicrobial resistance has become a great concern in agriculture and public health. The detection and characterization of antimicrobial resistance move from targeted culture and enzyme-based reaction to high-throughput metagenomics; acceptable resources for the analysis of large-scale information area unit as an expected rescue. The excellent bioinformatics tool newly curated for Antibiotic Resistance information (CARD; https://card.mcmaster.ca) could be a curated hub and resource-providing-referenced server for deoxyribonucleic acid and protein sequences as well as detection models on the molecular radar for antimicrobial resistance. This study employed CARD as pathogenomics repertoires for high-quality reference information on retrieving antibiotics resistance information on twenty-two carefully-selected members of Rhizobacter from NCBI. NCBI and CARD on-line platform were employed in polishing of antiobitics resistance info of selected PGPR genera such as Leguminosarum, Azotobacter, Azospirillum, Erwinia, Mesorhizobium, Flavobacterium Paenibacillus Polymyxa, Bacilli mycoides, B. subtilis, and Burkholderia pseudomallei among others. The data generated showed evidence that these rhizobacteria could be resistant to certain drug classes under a different Antimicrobial Resistance (AMR) Gene families using different phyto-pathogenic genes (ARO terms) using different resistance mechanisms. This distinctive platform provides bioinformatics tool that bridges antibiotic resistance considerations, which could be a fallback for policies in healthcare, agriculture and the environment. |
| first_indexed | 2024-04-12T18:17:07Z |
| format | Article |
| id | doaj.art-be2c164a4540407f8ff27c9e56a07a64 |
| institution | Directory Open Access Journal |
| issn | 2682-4043 |
| language | English |
| last_indexed | 2024-04-12T18:17:07Z |
| publishDate | 2020-09-01 |
| publisher | International Library of Sciences |
| record_format | Article |
| series | Highlights in BioScience |
| spelling | doaj.art-be2c164a4540407f8ff27c9e56a07a642022-12-22T03:21:34ZengInternational Library of SciencesHighlights in BioScience2682-40432020-09-013010.36462/H.BioSci.2022336Predictive comparative antibiotic resistance (AMR) profiles of rhizobacteria genes using CARD: a bioinformatics approachAdeoti Olatunde Micheal0Oni Abosede Catherine1Adeoye Kafilat Adenike2Adeoti Oluwole Adeola3Adeoye Basirat Adedamola4Adesina David Ademola51. The Oke- Ogun Polytechnic, Saki Oyo State Nigeria, Department of Science Laboratory Technology, Microbiology option. 2. Ladoke Akintola University of Technology, Ogbomosho, P.M.B 4000, Department of Pure & Applied Biology 3. Cellular Parasitology Unit, Department of Zoology, University of Ibadan, NigeriaThe Oke- Ogun Polytechnic, Saki Oyo State Nigeria, Department of Science Laboratory Technology, Microbiology option1. The Oke- Ogun Polytechnic, Saki Oyo State Nigeria, Department of Science Laboratory Technology, Microbiology option 2. Department of Zoology, Parasitology Unit, University of Ibadan, Nigeria.Department Food Science Technology, the Oke-Ogun Polytechnic, SakiLead City University, Ibadan, Faculty of Medical Science, Chemical Science (Biochemistry Unit)1. The Oke- Ogun Polytechnic, Saki Oyo State Nigeria, Department of Science Laboratory Technology, Microbiology option. 3. Department of Microbiology and Botany, University of Ibadan, IbadanMembers of the Plant Growth Promoting Rhizobacteria (PGPR) have been severally implicated as excellent growth enhancers, yield promoters as well as bio-fertilizers. A study on antibiotics surveillance of PGPR is urgently needed as caution towards its continued usage in Bio-science and Agro-allied. Antimicrobial resistance has become a great concern in agriculture and public health. The detection and characterization of antimicrobial resistance move from targeted culture and enzyme-based reaction to high-throughput metagenomics; acceptable resources for the analysis of large-scale information area unit as an expected rescue. The excellent bioinformatics tool newly curated for Antibiotic Resistance information (CARD; https://card.mcmaster.ca) could be a curated hub and resource-providing-referenced server for deoxyribonucleic acid and protein sequences as well as detection models on the molecular radar for antimicrobial resistance. This study employed CARD as pathogenomics repertoires for high-quality reference information on retrieving antibiotics resistance information on twenty-two carefully-selected members of Rhizobacter from NCBI. NCBI and CARD on-line platform were employed in polishing of antiobitics resistance info of selected PGPR genera such as Leguminosarum, Azotobacter, Azospirillum, Erwinia, Mesorhizobium, Flavobacterium Paenibacillus Polymyxa, Bacilli mycoides, B. subtilis, and Burkholderia pseudomallei among others. The data generated showed evidence that these rhizobacteria could be resistant to certain drug classes under a different Antimicrobial Resistance (AMR) Gene families using different phyto-pathogenic genes (ARO terms) using different resistance mechanisms. This distinctive platform provides bioinformatics tool that bridges antibiotic resistance considerations, which could be a fallback for policies in healthcare, agriculture and the environment.http://highlightsin.org/index.php/bioscience/article/view/58plant growth promoting rhizobacteria (pgpr)comprehensive antibiotic resistance database (card)antimicrobial resistance (amr)phyto-pathogenicmetagenomicsbio-fertilizers |
| spellingShingle | Adeoti Olatunde Micheal Oni Abosede Catherine Adeoye Kafilat Adenike Adeoti Oluwole Adeola Adeoye Basirat Adedamola Adesina David Ademola Predictive comparative antibiotic resistance (AMR) profiles of rhizobacteria genes using CARD: a bioinformatics approach Highlights in BioScience plant growth promoting rhizobacteria (pgpr) comprehensive antibiotic resistance database (card) antimicrobial resistance (amr) phyto-pathogenic metagenomics bio-fertilizers |
| title | Predictive comparative antibiotic resistance (AMR) profiles of rhizobacteria genes using CARD: a bioinformatics approach |
| title_full | Predictive comparative antibiotic resistance (AMR) profiles of rhizobacteria genes using CARD: a bioinformatics approach |
| title_fullStr | Predictive comparative antibiotic resistance (AMR) profiles of rhizobacteria genes using CARD: a bioinformatics approach |
| title_full_unstemmed | Predictive comparative antibiotic resistance (AMR) profiles of rhizobacteria genes using CARD: a bioinformatics approach |
| title_short | Predictive comparative antibiotic resistance (AMR) profiles of rhizobacteria genes using CARD: a bioinformatics approach |
| title_sort | predictive comparative antibiotic resistance amr profiles of rhizobacteria genes using card a bioinformatics approach |
| topic | plant growth promoting rhizobacteria (pgpr) comprehensive antibiotic resistance database (card) antimicrobial resistance (amr) phyto-pathogenic metagenomics bio-fertilizers |
| url | http://highlightsin.org/index.php/bioscience/article/view/58 |
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