Akanbi Olufemi Emmanuel, Njom Henry Akum, Fri Justine, Otigbu Anthony C, Clarke Anna M
Microbial Pathogenicity and Molecular Epidemiology Research Group (MPMERG), Department of Biochemistry and Microbiology, University of Fort Hare, Private Bag X1314, Alice 5700, South Africa.
Int J Environ Res Public Health. 2017 Sep 1;14(9):1001. doi: 10.3390/ijerph14091001.
: Resistance of to commonly used antibiotics is linked to their ability to acquire and disseminate antimicrobial-resistant determinants in nature, and the marine environment may serve as a reservoir for antibiotic-resistant bacteria. This study determined the antibiotic sensitivity profile of isolated from selected beach water and intertidal beach sand in the Eastern Cape Province of South Africa. : Two hundred and forty-nine beach sand and water samples were obtained from 10 beaches from April 2015 to April 2016. was isolated from the samples using standard microbiological methods and subjected to susceptibility testing to 15 antibiotics. Methicillin-resistant (MRSA) was detected by susceptibility to oxacillin and growth on Brilliance MRSA II agar. Antibiotic resistance genes including A, A B, Z, B, A, C, A, B, K and M were screened. : Thirty isolates (12.3%) were positive for by PCR with over 50% showing phenotypic resistance to methicillin. Resistance of to antibiotics varied considerably with the highest resistance recorded to ampicillin and penicillin (96.7%), rifampicin and clindamycin (80%), oxacillin (73.3%) and erythromycin (70%). revealed varying susceptibility to imipenem (96.7%), levofloxacin (86.7%), chloramphenicol (83.3%), cefoxitin (76.7%), ciprofloxacin (66.7%), gentamycin (63.3%), tetracycline and sulfamethoxazole-trimethoprim (56.7%), and vancomycin and doxycycline (50%). All 30 (100%) isolates showed multiple antibiotic-resistant patterns (resistant to three or more antibiotics). The A, A, B, Z, B and M genes were detected in 5 (22.7%), 16 (53.3%), 11 (45.8%), 16 (55.2%), 15 (71.4%), and 8 (72.7%) isolates respectively; : Results from this study indicate that beach water and sand from the Eastern Cape Province of South Africa may be potential reservoirs of antibiotic-resistant which could be transmitted to exposed humans and animals.
对常用抗生素的耐药性与它们在自然环境中获取和传播抗微生物耐药决定因素的能力有关,海洋环境可能是耐药菌的一个储存库。本研究确定了从南非东开普省选定海滩水和潮间带沙滩分离出的[细菌名称未给出]的抗生素敏感性概况。:2015年4月至2016年4月期间,从10个海滩采集了249份沙滩和水样。使用标准微生物学方法从样本中分离出[细菌名称未给出],并对15种抗生素进行药敏试验。通过对苯唑西林的敏感性和在 Brilliance MRSA II琼脂上的生长情况检测耐甲氧西林[细菌名称未给出](MRSA)。筛选了包括A、A B、Z、B、A、C、A、B、K和M在内的抗生素耐药基因。:通过PCR检测,30株分离株(12.3%)对[细菌名称未给出]呈阳性,超过50%表现出对甲氧西林的表型耐药性。[细菌名称未给出]对不同抗生素的耐药性差异很大,对氨苄西林和青霉素的耐药率最高(96.7%),对利福平、克林霉素(80%)、苯唑西林(73.3%)和红霉素(70%)。[细菌名称未给出]对亚胺培南(96.7%)、左氧氟沙星(86.7%)[此处原文可能有误,多了个顿号]氯霉素(83.3%)、头孢西丁(76.7%)、环丙沙星(66.7%)、庆大霉素(63.3%)、四环素和磺胺甲恶唑 - 甲氧苄啶(56.7%)以及万古霉素和强力霉素(50%)显示出不同的敏感性。所有30株(100%)[细菌名称未给出]分离株均表现出多重耐药模式(对三种或更多种抗生素耐药)。分别在5株(22.7%)、16株(53.3%)、11株(45.8%)、16株(55.2%)、15株(71.4%)和8株(72.7%)分离株中检测到A、A、B、Z、B和M基因;:本研究结果表明,南非东开普省的海滩水和沙滩可能是耐药[细菌名称未给出]的潜在储存库,这些耐药菌可能会传播给接触到的人类和动物。