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      Genome-Wide Comparison Reveals a Probiotic Strain Lactococcus lactis WFLU12 Isolated from the Gastrointestinal Tract of Olive Flounder ( Paralichthys olivaceus) Harboring Genes Supporting Probiotic Action

      research-article
      1 , 2 , 1 , *
      Marine Drugs
      MDPI
      probiotics, genes, pan-genome analysis, comparative genomics, carbohydrate utilization

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          Abstract

          Our previous study has shown that dietary supplementation with Lactococcus lactis WFLU12 can enhance the growth of olive flounder and its resistance against streptococcal infection. The objective of the present study was to use comparative genomics tools to investigate genomic characteristics of strain WFLU12 and the presence of genes supporting its probiotic action using sequenced genomes of L. lactis strains. Dispensable and singleton genes of strain WFLU12 were found to be more enriched in genes associated with metabolism (e.g., energy production and conversion, and carbohydrate transport and metabolism) than pooled dispensable and singleton genes in other L. lactis strains, reflecting WFLU12 strain-specific ecosystem origin and its ability to metabolize different energy sources. Strain WFLU12 produced antimicrobial compounds that could inhibit several bacterial fish pathogens. It possessed the nisin gene cluster (nisZBTCIPRKFEG) and genes encoding lysozyme and colicin V. However, only three other strains (CV56, IO-1, and SO) harbor a complete nisin gene cluster. We also found that L. lactis WFLU12 possessed many other important functional genes involved in stress responses to the gastrointestinal tract environment, dietary energy extraction, and metabolism to support the probiotic action of this strain found in our previous study. This strongly indicates that not all L. lactis strains can be used as probiotics. This study highlights comparative genomics approaches as very useful and powerful tools to select probiotic candidates and predict their probiotic effects.

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          Toward almost closed genomes with GapFiller

          De novo assembly is a commonly used application of next-generation sequencing experiments. The ultimate goal is to puzzle millions of reads into one complete genome, although draft assemblies usually result in a number of gapped scaffold sequences. In this paper we propose an automated strategy, called GapFiller, to reliably close gaps within scaffolds using paired reads. The method shows good results on both bacterial and eukaryotic datasets, allowing only few errors. As a consequence, the amount of additional wetlab work needed to close a genome is drastically reduced. The software is available at http://www.baseclear.com/bioinformatics-tools/.
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            WebMGA: a customizable web server for fast metagenomic sequence analysis

            Background The new field of metagenomics studies microorganism communities by culture-independent sequencing. With the advances in next-generation sequencing techniques, researchers are facing tremendous challenges in metagenomic data analysis due to huge quantity and high complexity of sequence data. Analyzing large datasets is extremely time-consuming; also metagenomic annotation involves a wide range of computational tools, which are difficult to be installed and maintained by common users. The tools provided by the few available web servers are also limited and have various constraints such as login requirement, long waiting time, inability to configure pipelines etc. Results We developed WebMGA, a customizable web server for fast metagenomic analysis. WebMGA includes over 20 commonly used tools such as ORF calling, sequence clustering, quality control of raw reads, removal of sequencing artifacts and contaminations, taxonomic analysis, functional annotation etc. WebMGA provides users with rapid metagenomic data analysis using fast and effective tools, which have been implemented to run in parallel on our local computer cluster. Users can access WebMGA through web browsers or programming scripts to perform individual analysis or to configure and run customized pipelines. WebMGA is freely available at http://weizhongli-lab.org/metagenomic-analysis. Conclusions WebMGA offers to researchers many fast and unique tools and great flexibility for complex metagenomic data analysis.
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              Genes and molecules of lactobacilli supporting probiotic action.

              Lactobacilli have been crucial for the production of fermented products for centuries. They are also members of the mutualistic microbiota present in the human gastrointestinal and urogenital tract. Recently, increasing attention has been given to their probiotic, health-promoting capacities. Many human intervention studies demonstrating health effects have been published. However, as not all studies resulted in positive outcomes, scientific interest arose regarding the precise mechanisms of action of probiotics. Many reported mechanistic studies have addressed mainly the host responses, with less attention being focused on the specificities of the bacterial partners, notwithstanding the completion of Lactobacillus genome sequencing projects, and increasing possibilities of genomics-based and dedicated mutant analyses. In this emerging and highly interdisciplinary field, microbiologists are facing the challenge of molecular characterization of probiotic traits. This review addresses the advances in the understanding of the probiotic-host interaction with a focus on the molecular microbiology of lactobacilli. Insight into the molecules and genes involved should contribute to a more judicious application of probiotic lactobacilli and to improved screening of novel potential probiotics.
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                Author and article information

                Journal
                Mar Drugs
                Mar Drugs
                marinedrugs
                Marine Drugs
                MDPI
                1660-3397
                24 April 2018
                May 2018
                : 16
                : 5
                : 140
                Affiliations
                [1 ]Department of Aquatic Life Medicine, College of Fisheries Science, Pukyong National University, Busan 48513, Korea; nt.luan@ 123456hutech.edu.vn
                [2 ]Institute of Applied Science, Ho Chi Minh City University of Technology, Ho Chi Minh City 700000, Vietnam
                Author notes
                [* ]Correspondence: dhkim@ 123456pknu.ac.kr ; Fax: +82-51-629-5877
                Article
                marinedrugs-16-00140
                10.3390/md16050140
                5983272
                29695124
                9b9b792c-ec03-45f6-8441-f5912ba66431
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 January 2018
                : 19 April 2018
                Categories
                Article

                Pharmacology & Pharmaceutical medicine
                probiotics,genes,pan-genome analysis,comparative genomics,carbohydrate utilization

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