The coffee-machine bacteriome: Biodiversity and colonisation of the wasted coffee tray leach

Scientific Reports

Volumn 5, Issue , 2015, Pages

  Vilanova, Cristina ^a   Iglesias, Alba ^a   Porcar, Manuel ^a,b  

^a UNIVERSITY OF VALENCIA   (Spain)

^b UNIVERSITY OF VALENCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIINFECTIVE AGENT; CAFFEINE; COFFEE; RNA 16S;

ADAPTATION; AGROBACTERIUM; BIODIVERSITY; BIOREMEDIATION; CLASSIFICATION; COFFEE; DEVICES; DNA SEQUENCE; DRUG EFFECTS; ENTEROBACTERIACEAE; ENTEROCOCCUS; FOOD HANDLING; GENETICS; MICROBIAL CONSORTIUM; MICROBIOLOGY; PAENIBACILLUS; PSEUDOMONAS; SCANNING ELECTRON MICROSCOPY; ULTRASTRUCTURE;

ADAPTATION, PHYSIOLOGICAL; AGROBACTERIUM; ANTI-BACTERIAL AGENTS; BIODEGRADATION, ENVIRONMENTAL; BIODIVERSITY; CAFFEINE; COFFEE; ENTEROBACTERIACEAE; ENTEROCOCCUS; FOOD HANDLING; MICROBIAL CONSORTIA; MICROSCOPY, ELECTRON, SCANNING; PAENIBACILLUS; PSEUDOMONAS; RNA, RIBOSOMAL, 16S; SEQUENCE ANALYSIS, DNA;

EID: 84947997993     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep17163     Document Type: Article

References (30)

1. Gonzalez de Mejia, E. & Ramirez-Mares, M. V. Impact of caffeine and coffee on our health. Trends Endocrinol. Metab. 25, 489-492 (2014).
2. Spriet, L. L. Exercise and sport performance with low doses of caffeine. Sports Med. 44, 175-184 (2014).
3. Al-Ansari, M. M. & Aboussekhra, A. Caffeine mediates sustained inactivation of breast cancer-associated myofibroblasts via up-regulation of tumor suppressor genes. PLoS One 9, e90907 (2014).
4. Jiang, X., Zhang, D. & Jiang, W. Coffee and caffeine intake and incidence of type 2 diabetes mellitus: a meta-analysis of prospective studies. Eur. J. Nutr. 53, 25-38 (2014).
5. Je, Y. & Giovannucci, E. Coffee consumption and total mortality: a meta-analysis of twenty prospective cohort studies. Br. J. Nutr. 111, 1162-1173 (2014).
6. Mustard, J. A. The buzz on caffeine in invertebrates: effects on behavior and molecular mechanisms. Cell. Mol. Life Sci. 71, 1375-1382 (2014).
7. Buerge, I. J., Poiger, T., Müller, M. D. & Buser, H.-R. Combined sewer overflows to surface waters detected by the anthropogenic marker caffeine. Environ. Sci. Technol. 40, 4096-4102 (2006).
8. Gutiérrez-Sánchez, G., Roussos, S. & Augur, C. Effect of caffeine concentration on biomass production, caffeine degradation, and morphology of Aspergillus tamarii. Folia Microbiol. (Praha). 58, 195-200 (2013).
9. Lakshmi, V. & Das, N. Removal of caffeine from industrial wastewater using Trichosporon asahii. J. Environ. Biol. 34, 701-708 (2013).
10. Gokulakrishnan, S., Chandraraj, K. & Gummadi, S. N. A preliminary study of caffeine degradation by Pseudomonas sp. GSC 1182. Int. J. Food Microbiol. 113, 346-350 (2007).
11. Yu, C. L. et al. Rapid Identification and Quantitative Validation of a Caffeine-Degrading Pathway in Pseudomonas sp. CES. J. Proteome Res. 14, 95-106 (2015).
12. Summers, R. M., Louie, T. M., Yu, C. L. & Subramanian, M. Characterization of a broad-specificity non-haem iron N-demethylase from Pseudomonas putida CBB5 capable of utilizing several purine alkaloids as sole carbon and nitrogen source. Microbiology 157, 583-592 (2011).
13. Woolfolk, C. A. Metabolism of N-methylpurines by a Pseudomonas putida strain isolated by enrichment on caffeine as the sole source of carbon and nitrogen. J Bacteriol. 123, 1088-1106 (1975).
14. Dash, S. S., Sailaja, N. S. & Gummadi, S. N. Chemotaxis of Pseudomonas sp. to caffeine and related methylxanthines. J. Basic Microbiol. 48, 130-134 (2008).
15. Babu, V. R. S., Patra, S., Karanth, N. G., Kumar, M. A. & Thakur, M. S. Development of a biosensor for caffeine. Anal. Chim. Acta 582, 329-334 (2007).
16. Quandt, E. M. et al. Decaffeination and measurement of caffeine content by addicted Escherichia coli with a refactored N-demethylation operon from Pseudomonas putida CBB5. ACS Synth. Biol. 2, 301-307 (2013).
17. Ogunseitan, O. A. Removal of caffeine in sewage by Pseudomonas putida: Implications for water pollution index. World J. Microbiol. Biotechnol. 12, 251-256 (1996).
18. Wang, X. et al. Enterococcus faecalis induces aneuploidy and tetraploidy in colonic epithelial cells through a bystander effect. Cancer Res. 68, 9909-9917 (2008).
19. Silva, C. F., Batista, L. R., Abreu, L. M., Dias, E. S. & Schwan, R. F. Succession of bacterial and fungal communities during natural coffee (Coffea arabica) fermentation. Food Microbiol. 25, 951-957 (2008).
20. Vega, F. E., Pava-Ripoll, M., Posada, F. & Buyer, J. S. Endophytic bacteria in Coffea arabica L. J. Basic Microbiol. 45, 371-380 (2005).
21. Kaplan, C. W. & Kitts, C. L. Bacterial Succession in a Petroleum Land Treatment Unit. Appl. Environ. Microbiol. 70, 1777-1786 (2004).
22. Sulaiman, J., Gan, H. M., Yin, W.-F. & Chan, K.-G. Microbial succession and the functional potential during the fermentation of Chinese soy sauce brine. Front. Microbiol. 5, 556 (2014).
23. Yu, P. & Chen, Y. Purification and characterization of a novel neutral and heat-tolerant phytase from a newly isolated strain Bacillus nealsonii ZJ0702. BMC Biotechnol. 13, 78 (2013).
24. Silva, C. F., Schwan, R. F., Sousa Dias, Ë. & Wheals, A. E. Microbial diversity during maturation and natural processing of coffee cherries of Coffea arabica in Brazil. Int. J. Food Microbiol. 60, 251-260 (2000).
25. de Gannes, V., Eudoxie, G. & Hickey, W. J. Prokaryotic successions and diversity in composts as revealed by 454-pyrosequencing. Bioresour. Technol. 133, 573-580 (2013).
26. Ogata, Y., Goda, S., Toyama, T., Sei, K. & Ike, M. The 4-tert-butylphenol-utilizing bacterium Sphingobium fuliginis OMI can degrade bisphenols via phenolic ring hydroxylation and meta-cleavage pathway. Environ. Sci. Technol. 47, 1017-1023 (2013).
27. Machonkin, T. E. & Doerner, A. E. Substrate specificity of Sphingobium chlorophenolicum 2,6-dichlorohydroquinone 1,2-dioxygenase. Biochemistry 50, 8899-8913 (2011).
28. Schloss, P. D. et al. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl. Environ. Microbiol. 75, 7537-7541 (2009).
29. Dorado-Morales, P., Vilanova, C., Garay, C. P., Martí J. M. & Porcar, M. Unveiling bacterial interactions through multidimensional scaling and dynamics modeling. Sci. Rep. (submitted)
30. Fisher, C. K. & Mehta, P. Identifying keystone species in the human gut microbiome from metagenomic timeseries using sparse linear regression. PLoS One 9, e102451 (2014).