Aims: To estimate the effect of pH on the structures of bacterial community during fermentation of vegetable wastes and to investigate the relationship between bacterial community dynamics and product distribution. Methods and Results: The bacterial communities in five batch tests controlled at different pH values [uncontrolled (about pH 4), 5, 6, 7 and 8] were monitored by denaturing gradient gel electrophoresis (DGGE) and single-strand conformation polymorphism (SSCP). The two fingerprinting methods provided consistent results and principal component analysis indicated a close similarity of bacterial community at pH 7 and 8 in addition to those at pH 4-6. This clustering also corresponded to dominant metabolic pathway. Thus, pH 7-8 shifted from alcohol-forming to acid-forming, especially butyric acid, whereas both alcohol-forming and acid-forming dominated at pH 5-6, and at pH 4, fermentation was inhibited. Shannon-weaver index was calculated to analyse the DGGE profiles, which revealed that the bacterial diversities at pH 7 and 8 were the highest while those at pH 5 and 4 (uncontrolled) were the lowest. According to sequencing results of the bands excised from DGGE gels, lactic acid bacteria and Clostridium sp. were predominant at all pH values, but varieties in species were observed as pH changed and time prolonged. Conclusions: The bacterial community during fermentation was materially influenced by pH and the diverse product distribution was related to the shift of different bacterial population. Significance and Impact of the Study: The study reveals that the impact of pH on fermentation product distribution is implemented primarily by changes of bacterial community. It also provides information about the comparison of two fingerprinting methods, DGGE and SSCP. © 2007 The Authors.
CITATION STYLE
Ye, N. F., Lü, F., Shao, L. M., Godon, J. J., & He, P. J. (2007). Bacterial community dynamics and product distribution during pH-adjusted fermentation of vegetable wastes. Journal of Applied Microbiology, 103(4), 1055–1065. https://doi.org/10.1111/j.1365-2672.2007.03321.x
Mendeley helps you to discover research relevant for your work.