Seasonal changes in microbial community composition in river water studied using 454-pyrosequencing
Status PubMed-not-MEDLINE Language English Country Switzerland Media electronic-ecollection
Document type Journal Article
PubMed
27069829
PubMed Central
PMC4821842
DOI
10.1186/s40064-016-2043-6
PII: 2043
Knihovny.cz E-resources
- Keywords
- Environmental factors, Microbial community, Pyrosequencing, River water,
- Publication type
- Journal Article MeSH
The aims of this study were to determine the microbial community in five rivers in the proximity of a city in the Czech Republic using 454-pyrosequencing, as well as to assess seasonal variability over the course of 1 year and to identify the factors influencing the structure of bacterial communities. Samples from five rivers around the city of Brno were obtained during four seasons and analysed using 454 pyrosequencing of the 16S rRNA gene. The core composition of bacterial communities consisted of Actinobacteria, Bacteroidetes, Proteobacteria, Firmicutes, Fusobacteria, TM7 and others. Our approach enabled us to more closely study the correlation between the abundance of different families and environmental factors. Overall, Actinobacteria negatively correlated with phosphorus, sulphate, dissolved particle and chloride levels. In contrast, Proteobacteria positively correlated with sulphate, dissolved particle, chloride, dissolved oxygen and nitrite levels. Future work should focus on the dynamics of bacterial communities present in river water and their relation to the overall stability of the water ecosystem.
See more in PubMed
Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Pena AG, Goodrich JK, Gordon JI, Huttley GA, Kelley ST, Knights D, Koenig JE, Ley RE, Lozupone CA, McDonald D, Muegge BD, Pirrung M, Reeder J, Sevinsky JR, Tumbaugh PJ, Walters WA, Widmann J, Yatsunenko T, Zaneveld J, Knight R. QIIME allows analysis of high-throughput community sequencing data. Nat Methods. 2010;7(5):335–336. doi: 10.1038/nmeth.f.303. PubMed DOI PMC
Cole JR, Wang Q, Fish JA, Chai B, McGarrell DM, Sun Y, Brown CT, Porras-Alfaro A, Kuske CR, Tiedje JM. Ribosomal Database Project: data and tools for high throughput rRNA analyses. Nucleic Acids Res. 2014;42(Database issue):D633–D642. doi: 10.1093/nar/gkt1244. PubMed DOI PMC
Douterelo I, Sharpe R, Boxall J. Bacterial community dynamics during the early stages of biofilm formation in a chlorinated experimental drinking water distribution system: implications for drinking water discolouration. J Appl Microbiol. 2014;117(1):286–301. doi: 10.1111/jam.12516. PubMed DOI PMC
Fortunato CS, Herfort L, Zuber P, Baptista AM, Crump BC. Spatial variability overwhelms seasonal patterns in bacterioplankton communities across a river to ocean gradient. ISME J. 2012;6(3):554–563. doi: 10.1038/ismej.2011.135. PubMed DOI PMC
Gilbert JA, Steele JA, Caporaso JG, Steinbrueck L, Reeder J, Temperton B, Huse S, McHardy AC, Knight R, Joint I, Somerfield P, Fuhrman JA, Field D. Defining seasonal marine microbial community dynamics. ISME J. 2012;6(2):298–308. doi: 10.1038/ismej.2011.107. PubMed DOI PMC
Hu M, Wang XH, Wen XH, Xia Y. Microbial community structures in different wastewater treatment plants as revealed by 454-pyrosequencing analysis. Bioresour Technol. 2012;117:72–79. doi: 10.1016/j.biortech.2012.04.061. PubMed DOI
Hwang C, Ling FQ, Andersen GL, LeChevallier MW, Liu WT. Microbial community dynamics of an urban drinking water distribution system subjected to phases of chloramination and chlorination treatments. Appl Environ Microbiol. 2012;78(22):7856–7865. doi: 10.1128/AEM.01892-12. PubMed DOI PMC
Kaevska M, Slana I. Comparison of filtering methods, filter processing and DNA extractin kits for detection of mycobacteria in water. Ann Agric Environ Med. 2015;22(3):429–432. doi: 10.5604/12321966.1167707. PubMed DOI
Liu LM, Yang J, Yu XQ, Chen GJ, Yu Z. Patterns in the composition of microbial communities from a subtropical river: effects of environmental, spatial and temporal factors. PLoS One. 2013 PubMed PMC
Murray KS, Fisher LE, Therrien J, George B, Gillespie J. Assessment and use of indicator bacteria to determine sources of pollution to an urban river. J Great Lakes Res. 2001;27(2):220–229. doi: 10.1016/S0380-1330(01)70635-1. DOI
Nossa CW, Oberdorf WE, Yang LY, Aas JA, Paster BJ, DeSantis TZ, Brodie EL, Malamud D, Poles MA, Pei ZH. Design of 16S rRNA gene primers for 454 pyrosequencing of the human foregut microbiome. World J Gastroenterol. 2010;16(33):4135–4144. doi: 10.3748/wjg.v16.i33.4135. PubMed DOI PMC
Vaz-Moreira I, Egas C, Nunes OC, Manaia CM. Culture-dependent and culture-independent diversity surveys target different bacteria: a case study in a freshwater sample. Anton Leeuw Int J G. 2011;100(2):245–257. doi: 10.1007/s10482-011-9583-0. PubMed DOI
Winter C, Hein T, Kavka G, Mach RL, Farnleitner AH. Longitudinal changes in the bacterial community composition of the Danube River: a whole-river approach. Appl Environ Microbiol. 2007;73(2):421–431. doi: 10.1128/AEM.01849-06. PubMed DOI PMC
Ye L, Zhang T. Bacterial communities in different sections of a municipal wastewater treatment plant revealed by 16S rDNA 454 pyrosequencing. Appl Microbiol Biotechnol. 2013;97(6):2681–2690. doi: 10.1007/s00253-012-4082-4. PubMed DOI PMC
Zhang ML, Yu N, Chen LQ, Jiang CH, Tao YJ, Zhang T, Chen J, Xue D. Structure and seasonal dynamics of bacterial communities in three urban rivers in China. Aquat Sci. 2012;74(1):113–120. doi: 10.1007/s00027-011-0201-z. DOI
Zhang WP, Bougouffa S, Wang Y, Lee OO, Yang JK, Chan C, Song XY, Qian PY. Toward understanding the dynamics of microbial communities in an estuarine system. PLoS One. 2014 PubMed PMC