| Literature DB >> 23072432 |
Adelaide A Tawiah1, Stephen Y Gbedema, Francis Adu, Vivian E Boamah, Kofi Annan.
Abstract
BACKGROUND: Microorganisms have provided a wealth of metabolites with interesting activities such as antimicrobial, antiviral and anticancer. In this study, a total of 119 aquatic microbial isolates from 30 samples (taken from water bodies in Ghana) were screened by the agar-well diffusion method for ability to produce antibacterial-metabolites.Entities:
Mesh:
Substances:
Year: 2012 PMID: 23072432 PMCID: PMC3493300 DOI: 10.1186/1471-2180-12-234
Source DB: PubMed Journal: BMC Microbiol ISSN: 1471-2180 Impact factor: 3.605
Antimicrobial activity of isolatesagainst the test microorganismsemployed
| SAI 19 | Ac | 14 ± 1.12 | 16 ± 0.11 | 15 ± 0.41 | 11 ± 0.21 | 14 ± 2.0 | 15 ± 0.21 |
| SAI 22 | Ac | - | - | 11 ± 3.05 | 14 ± 2.22 | 11 ± 0.07 | 12 ± 1.20 |
| SAI 20 | Br | - | 11 ± 0.66 | - | 11 ± 0.02 | - | 13 ± 0.10 |
| SAI 28 | Br | - | 12 ± 2.12 | - | 13 ± 0.01 | - | 11 ± 2.07 |
| SAI 29 | Ac | - | 14 ± 0.31 | 13 ± 0.77 | 14 ± 0.73 | - | - |
| SAI 18 | Br | - | 12 ± 1.11 | - | 12 ± 1.27 | - | 12 ± 1.16 |
| SAI 9 | Br | - | 10 ± 1.54 | - | - | - | - |
| SAI 12 | Br | - | 12 ± 0.97 | - | - | - | 12 ± 0.16 |
| SAI 36 | Ac | - | 13 ± 0.76 | 13 ± 0.76 | 14 ± 0.46 | 14 ± 1.17 | 12 ± 0.55 |
| SAI 31 | Ac | - | 12 ± 3.27 | - | 11 ± 3.09 | - | - |
| SAI 32 | Fg | - | 12 ± 0.09 | 11 ± 0.83 | 12 ± 2.39 | 13 ± 0.09 | 12 ± 1.43 |
| SAI 35 | Br | - | 14 ± 0.04 | 14 ± 0.98 | 14 ± 4.01 | 12 ± 2.17 | 12 ± 2.44 |
| SAI 23 | Br | - | - | - | - | - | 12 ± 0.26 |
| SAI 5 | Fg | - | - | 11 ± 0.45 | - | - | 11 ± 0.15 |
| WEI 3 | Ac | - | 14 ± 1.22 | 14 ± 0.11 | 15 ± 1.44 | 15 ± 0.11 | 13 ± 0.03 |
| WEI 7 | Br | - | 11 ± 4.11 | - | 12 ± 0.33 | 12 ± 0.43 | - |
| WEI 13 | Fg | - | 11 ± 0.23 | - | 13 ± 0.76 | - | 11 ± 3.27 |
| WEI 14 | Ac | - | 14 ± 2.91 | 13 ± 3.23 | 16 ± 1.28 | 13 ± 4.30 | 13 ± 1.30 |
| WEI 16 | Br | - | - | - | 11 ± 2.99 | - | - |
| WEI 19 | Br | - | - | - | 10 ± 1.19 | - | - |
| BS 1 | Ac | 13 ± 4.09 | 14 ± 5.10 | 15 ± 1.22 | 12 ± 0.61 | 13 ± 2.99 | 14 ± 0.91 |
| BS 8 | Br | - | - | - | - | - | 17 ± 2.07 |
| BS 26 | Fg | - | - | 13 ± 0.22 | 15 ± 0.09 | - | - |
| MAI 1 | Br | - | 20 ± 0.11 | 17 ± 0.26 | 22 ± 1.40 | 20 ± 0.18 | 17 ± 0.99 |
| MAI 2 | Br | - | 24 ± 1.16 | 26 ± 2.33 | 22 ± 2.14 | - | 25 ± 3.17 |
| MAI 3 | Br | - | - | 20 ± 2.19 | 22 ± 0.49 | - | - |
| MAI 4 | Ac | - | - | - | 15 ± 0.87 | - | - |
Key: Ac = Actinomycetes, Br = Bacteria, Fg = fungi, PA = P. aeruginosa, EF = E. faecalis, BT = B. thuringensis, SA = Staph aureus, BS = B. Subtilis, PV = Pr. vulgaris. SAI = Sand isolates from River Wiwi, WEI = weed isolates from River Wiwi, MAI = marine isolates, BS = isolates from Lake Bosomtwe.
Figure 1Bioautography of MAI2 extract against
Figure 2Samples of the agar plates showing zones of growth inhibition.
Figure 3Incubation period and antibacterial activity of MAI2 against
Figure 4Effect of pH on antibacterial activity of Isolate MAI2.
Figure 5Effect of carbon sources on antimicrobial activity of MAI2 against
Figure 6Effect of nitrogen sources on antibacterial activity of MAI2 against
MIC of the crudeextract of MAI2
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