SALIVARICIN MMAYE1 PRODUCTION IS ENHANCED IN A NEW MEDIUM AND ACTS SYNERGISTICALLY WITH PENTOCIN MQ1
DOI:
https://doi.org/10.33003/fjs-2022-0603-983Keywords:
Antibiotic resistance, Bacteriocin, Salivaricin mmaye1, Lactobacillus salivarius, Synergistic action, Pentocin MQ1Abstract
Resistance to conventional antimicrobials is burgeoning. Consequently, the world health has mandated researchers to develop novel antimicrobial agents as replacement for conventional antimicrobials. Of the potential alternatives, bacteriocins are widely considered lead compounds. Salivaricin mmaye1 and pentocin MQ1 are bacteriocins produced by Lactobacillus salivarius SPW1 and Lactobacillus pentosus CS2 respectively. These bacteriocins have been reported to possess high antimicrobial activity against human pathogens. The overall objective of this study is to optimize production of salivaricin mmaye1 and evaluate its potential synergistic action with pentocin MQ1. Results revealed that Lactobacillus salivarius SPW1 is non-hemolytic and sensitive to most antibiotics screened but resistant to gentamicin, streptomycin and vancomycin. Resistance to these antibiotics is not mediated by plasmids. Genes encoding salivaricin mmaye1 production are not plasmid-borne. A new medium for high biomass accumulation was developed. Salivaricin mmaye1 production is optimum at pH values of 6 and 7. Salivaricin mmaye1 and pentocin MQ1 exhibited synergism against Micrococcus luteus, Listeria monocytogenes and Pseudomonas aeruginosa. These findings provide a glimpse into future therapeutic applications of salivaricin mmaye1.
References
Kumar, et al. (2014) "Dense phenotyping from electronic health records enables machine-learning-based prediction of preterm birth."
Pereira, Joana Carvalho, Maria João Ferreira, Graça Rodrigues, and OlÃmpia Do Carmo. (2015). Value of Bishop score and ultrasound cervical length measurement in the prediction of cesarean delivery. Journal of Obstetrics and Gynaecology Research 39, 9, 1391–1396
Grobman, Yanfang, et al. (2007).Communication for Behavior Change: Volume lll: Using Entertainment–Education for Distance Education. Sage Publications India. ISBN 978-93-5150-758-1. Archived from the original on 11 September 2017. Retrieved 31 July 2016.
Lipschuetz, Michal, et al. "Prediction of vaginal birth after cesarean deliveries using machine learning." American journal of obstetrics and gynecology 222.6 (2020): 613-e1.
Lakshmi, Lijue, et al. "Machine learning algorithms to predict early pregnancy loss after in vitro fertilization-embryo transfer with fetal heart rate as a strong predictor." Computer Methods and Programs in Biomedicine 196 (2016): 105624.
Khazardoost Birara and Yirgu Gebrehiwot. (2016). Factors associated with success of vaginal birth after one caesarean section (VBAC) at three teaching hospitals in Addis Ababa, Ethiopia: a case control study. BMC pregnancy and childbirth 13, 1 (2016), 31.
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FUDMA Journal of Sciences
