Cultivable microbiota of Lithobates catesbeianus and advances in the selection of lactic acid bacteria as biological control agents in raniculture

Mendoza, Gabriela Montel; Pasteris, Sergio E.; Ale, Cesar Emmanuel; Otero, María Claudia; Bühler, M.I.; Nader‐Macías, María Elena Fátima

doi:10.1016/j.rvsc.2012.05.007

Cited by 23 publications

(39 citation statements)

References 34 publications

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“…To choose probiotic bacteria for the validation of IIPs, we surveyed the literature and selected three genera, i.e., Lactococcus, Lactobacillus , and Pediococcus that have been commonly used in probiotic treatments in raniculture (Dias et al, 2010; Mendoza et al, 2012). In our dataset, there were 84, 64, and 60 IIPs correlated to Lactococcus, Pediococcus , and Lactobacillus , respectively.…”

Section: Resultsmentioning

confidence: 99%

“…To validate the interactions, we focused on a small group of microbes that interact with the probiotic strains, which have been well-studied and applied in raniculture (Dias et al, 2010; Mendoza et al, 2012). The well-known LAB, Bacillus, Enterococcus , and Lactococcus , have been described and applied in many organisms (Balcázar et al, 2007b; Pasteris et al, 2009a; Dias et al, 2010; Nayak, 2010; Mendoza et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

“…There are several genera of bacteria characterized as probiotic in amphibians (Pasteris et al, 2009a,b; Dias et al, 2010; Becker et al, 2011; Mendoza et al, 2012; Bletz et al, 2013). LAB have been considered as the major probiotics for the treatment of raniculture (Dias et al, 2010; Mendoza et al, 2012).…”

Section: Methodsmentioning

confidence: 99%

“…LAB have been considered as the major probiotics for the treatment of raniculture (Dias et al, 2010; Mendoza et al, 2012). In this study, L. garvieae was selected as a probiotic strain because Lactococcus was present in at least 85% of all the samples with a relative abundance of 0.14 ± 0.39%, and L. garvieae has been identified as a biological control agent in bullfrogs (Mendoza et al, 2012). According to the interacting relationships inferred by MetaMIS, Corynebacterium showed beneficial effects on Lactococcus , while Bacillus was found to have a beneficial interacting relationship with Corynebacterium .…”

Section: Methodsmentioning

confidence: 99%

“…LAB produce a range of important molecules such as organic acids, hydrogen peroxide, diacetyl, antimicrobial peptides (AMPs), and bacteriocins (Verschuere et al, 2000; Küng et al, 2014). The characterization of these compounds explains the beneficial effects of LAB; thus, some bacterial species with similar functions have been introduced as probiotics to restore beneficial microbial populations (Balcázar et al, 2007a; Pasteris et al, 2009b; Ringø et al, 2010; Mendoza et al, 2012). In this study, we induced a community shift from simple to complex via artificial hibernation (AH) in the treefrog and performed 16S rRNA amplicon analysis on the gut microbiome.…”

Section: Introductionmentioning

confidence: 99%

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Inferring Microbial Interactions in the Gut of the Hong Kong Whipping Frog (Polypedates megacephalus) and a Validation Using Probiotics

et al. 2017

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The concerted activity of intestinal microbes is crucial to the health and development of their host organisms. Investigation of microbial interactions in the gut should deepen our understanding of how these micro-ecosystems function. Due to advances in Next Generation Sequencing (NGS) technologies, various bioinformatic strategies have been proposed to investigate these microbial interactions. However, due to the complexity of the intestinal microbial community and difficulties in monitoring their interactions, at present there is a gap between the theory and biological application. In order to construct and validate microbial relationships, we first induce a community shift from simple to complex by manipulating artificial hibernation (AH) in the treefrog Polypedates megacephalus. To monitor community growth and microbial interactions, we further performed a time-course screen using a 16S rRNA amplicon approach and a Lotka-Volterra model. Lotka-Volterra models, also known as predator–prey equations, predict the dynamics of microbial communities and how communities are structured and sustained. An interaction network of gut microbiota at the genus level in the treefrog was constructed using Metagenomic Microbial Interaction Simulator (MetaMIS) package. The interaction network obtained had 1,568 commensal, 1,737 amensal, 3,777 mutual, and 3,232 competitive relationships, e.g., Lactococcus garvieae has a commensal relationship with Corynebacterium variabile. To validate the interacting relationships, the gut microbe composition was analyzed after probiotic trials using single strain (L. garvieae, C. variabile, and Bacillus coagulans, respectively) and a combination of L. garvieae, C. variabile, and B. coagulans, because of the cooperative relationship among their respective genera identified in the interaction network. After a 2 week trial, we found via 16S rRNA amplicon analysis that the combination of cooperative microbes yielded significantly higher probiotic concentrations than single strains, and the immune response (interleukin-10 expression) also significantly changed in a manner consistent with improved probiotic effects. By taking advantage of microbial community shift from simple to complex, we thus constructed a reliable microbial interaction network, and validated it using probiotic strains as a test system.

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Section: Resultsmentioning

confidence: 99%