Literature DB >> 29063147

Importance of Local and Regional Scales in Shaping Mycobacterial Abundance in Freshwater Lakes.

Adélaïde Roguet1,2, Claire Therial3, Arnaud Catherine4, Adèle Bressy3, Gilles Varrault3, Lila Bouhdamane3, Viet Tran3, Bruno J Lemaire3, Brigitte Vincon-Leite3, Mohamed Saad3, Laurent Moulin5, Françoise S Lucas3.   

Abstract

Biogeographical studies considering the entire bacterial community may underestimate mechanisms of bacterial assemblages at lower taxonomic levels. In this context, the study aimed to identify factors affecting the spatial and temporal dynamic of the Mycobacterium, a genus widespread in aquatic ecosystems. Nontuberculous mycobacteria (NTM) density variations were quantified in the water column of freshwater lakes at the regional scale (annual monitoring of 49 lakes in the Paris area) and at the local scale (2-year monthly monitoring in Créteil Lake) by real-time quantitative PCR targeting the atpE gene. At the regional scale, mycobacteria densities in water samples ranged from 6.7 × 103 to 1.9 × 108 genome units per liter. Density variations were primarily explained by water pH, labile iron, and dispersal processes through the connection of the lakes to a river. In Créteil Lake, no spatial variation of mycobacterial densities was noticed over the 2-year monthly survey, except after large rainfall events. Indeed, storm sewer effluents locally and temporarily increased NTM densities in the water column. The temporal dynamic of the NTM densities in Créteil Lake was associated with suspended solid concentrations. No clear seasonal variation was noticed despite a shift in NTM densities observed over the 2012-2013 winter. Temporal NTM densities fluctuations were well predicted by the neutral community model, suggesting a random balance between loss and gain of mycobacterial taxa within Créteil Lake. This study highlights the importance of considering multiple spatial scales for understanding the spatio-temporal dynamic of bacterial populations in natural environments.

Entities:  

Keywords:  Lake; Nontuberculous mycobacteria; Real-time quantitative PCR; Spatial and temporal distribution

Mesh:

Substances:

Year:  2017        PMID: 29063147     DOI: 10.1007/s00248-017-1088-6

Source DB:  PubMed          Journal:  Microb Ecol        ISSN: 0095-3628            Impact factor:   4.552


  54 in total

1.  How close is close: 16S rRNA sequence identity may not be sufficient to guarantee species identity.

Authors:  G E Fox; J D Wisotzkey; P Jurtshuk
Journal:  Int J Syst Bacteriol       Date:  1992-01

2.  A low prevalence of mycobacteria in freshwater fish from water reservoirs, ponds and farms.

Authors:  V Mrlik; M Slany; J Kubecka; J Seda; A Necas; V Babak; I Slana; P Kriz; I Pavlik
Journal:  J Fish Dis       Date:  2012-04-26       Impact factor: 2.767

3.  Combined niche and neutral effects in a microbial wastewater treatment community.

Authors:  Irina Dana Ofiteru; Mary Lunn; Thomas P Curtis; George F Wells; Craig S Criddle; Christopher A Francis; William T Sloan
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-12       Impact factor: 11.205

4.  High mycobacterial diversity in recreational lakes.

Authors:  A Roguet; C Therial; M Saad; L Boudahmane; L Moulin; F S Lucas
Journal:  Antonie Van Leeuwenhoek       Date:  2016-02-12       Impact factor: 2.271

Review 5.  Beyond biogeographic patterns: processes shaping the microbial landscape.

Authors:  China A Hanson; Jed A Fuhrman; M Claire Horner-Devine; Jennifer B H Martiny
Journal:  Nat Rev Microbiol       Date:  2012-05-14       Impact factor: 60.633

6.  Local and regional factors influencing bacterial community assembly.

Authors:  Eva S Lindström; Silke Langenheder
Journal:  Environ Microbiol Rep       Date:  2011-04-20       Impact factor: 3.541

7.  Quantitative PCR assay for Mycobacterium pseudoshottsii and Mycobacterium shottsii and application to environmental samples and fishes from the Chesapeake Bay.

Authors:  D T Gauthier; K S Reece; J Xiao; M W Rhodes; H I Kator; R J Latour; C F Bonzek; J M Hoenig; W K Vogelbein
Journal:  Appl Environ Microbiol       Date:  2010-07-23       Impact factor: 4.792

8.  Concentration of Mycobacterium avium by hospital hot water systems.

Authors:  G C du Moulin; K D Stottmeier; P A Pelletier; A Y Tsang; J Hedley-Whyte
Journal:  JAMA       Date:  1988-09-16       Impact factor: 56.272

9.  Biases during DNA extraction of activated sludge samples revealed by high throughput sequencing.

Authors:  Feng Guo; Tong Zhang
Journal:  Appl Microbiol Biotechnol       Date:  2012-07-04       Impact factor: 4.813

10.  Exochelin production in Mycobacterium neoaurum.

Authors:  Kok-Gan Chan
Journal:  Int J Mol Sci       Date:  2009-01-20       Impact factor: 6.208

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