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      Fodinicola acaciae sp. nov., an Endophytic Actinomycete Isolated from the Roots of Acacia mangium Willd. and Its Genome Analysis

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          Abstract

          A novel endophytic actinomycete strain GKU 173 T isolated from the roots of Acacia mangium Willd. showed potential plant growth promoting (PGP) activity. Phylogenetic analysis, based on 16S rRNA gene, indicated that strain GKU 173 T was the most closely related to Fodinicola feengrottensis HKI 0501 T—the only species in the genus Fodinicola. Morphology and chemotaxonomy of strain GKU 173 T indicated that it belongs to the genus Fodinicola by having meso-diaminopimelic acid in the cell wall and xylose as the characteristic cell-wall sugars. The cellular fatty acid profile mainly comprised iso-C 16:0, anteiso-C 17:0, iso-C 18:0, and iso-C 17:0. The major menaquinones were MK-9(H 4), MK-9(H 6), and MK-9(H 8). The main polar phospholipids contained diphosphatidylglycerol (DPG), phosphatidylethanolamine (PE), and phosphatidylinositol (PI). Genome analysis signified DNA G+C content of 67.81 mol%. The level of digital DNA-DNA relatedness between strain GKU 173 T and the type strain was 21.30%. On the basis of polyphasic characteristics, strain GKU 173 T clearly represents a novel species of the genus Fodinicola, for which the name Fodinicola acaciae sp. nov. (= TBRC 10620 T = NBRC 114213 T) is proposed. Furthermore, genome analysis of both strains suggested that members of the genus Fodinicola are promising sources of beneficial PGP-actinomycetes and novel secondary metabolites.

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          Toward Defining the Course of Evolution: Minimum Change for a Specific Tree Topology

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            Digital DNA-DNA hybridization for microbial species delineation by means of genome-to-genome sequence comparison

            The pragmatic species concept for Bacteria and Archaea is ultimately based on DNA-DNA hybridization (DDH). While enabling the taxonomist, in principle, to obtain an estimate of the overall similarity between the genomes of two strains, this technique is tedious and error-prone and cannot be used to incrementally build up a comparative database. Recent technological progress in the area of genome sequencing calls for bioinformatics methods to replace the wet-lab DDH by in-silico genome-to-genome comparison. Here we investigate state-of-the-art methods for inferring whole-genome distances in their ability to mimic DDH. Algorithms to efficiently determine high-scoring segment pairs or maximally unique matches perform well as a basis of inferring intergenomic distances. The examined distance functions, which are able to cope with heavily reduced genomes and repetitive sequence regions, outperform previously described ones regarding the correlation with and error ratios in emulating DDH. Simulation of incompletely sequenced genomes indicates that some distance formulas are very robust against missing fractions of genomic information. Digitally derived genome-to-genome distances show a better correlation with 16S rRNA gene sequence distances than DDH values. The future perspectives of genome-informed taxonomy are discussed, and the investigated methods are made available as a web service for genome-based species delineation.
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              COLORIMETRIC ESTIMATION OF INDOLEACETIC ACID

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                Author and article information

                Journal
                Microorganisms
                Microorganisms
                microorganisms
                Microorganisms
                MDPI
                2076-2607
                25 March 2020
                April 2020
                : 8
                : 4
                : 467
                Affiliations
                [1 ]Department of Genetics, Faculty of Science, Kasetsart University, Chatuchak, Bangkok 10900, Thailand; phamthithanhhuyen.h@ 123456ku.th (H.T.T.P.); wipawadee.s@ 123456ku.th (W.S.); wilaiwan.ko@ 123456ku.th (W.K.)
                [2 ]Omics Center for Agriculture, Bioresources, Food and Health, Kasetsart University (OmiKU), Bangkok 10900, Thailand
                [3 ]Kitasato Institute for Life Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan; y-ina@ 123456lisci.kitasato-u.ac.jp (Y.I.); amatsu@ 123456lisci.kitasato-u.ac.jp (A.M.)
                [4 ]Department of Microbiology, Kitasato University School of Medicine, 1-5-1 Kitasato, Minami-ku, Sagamihara, Kanagawa 252-0374, Japan; a.take@ 123456med.kitasato-u.ac.jp
                Author notes
                [* ]Correspondence: arinthip.t@ 123456ku.ac.th ; Tel.: +66-2-562-5444 (ext. 646703); Fax: +66-2-579-5528
                Author information
                https://orcid.org/0000-0002-1992-0785
                https://orcid.org/0000-0002-8749-0414
                Article
                microorganisms-08-00467
                10.3390/microorganisms8040467
                7232338
                32218319
                86ff5c9c-a7c6-4467-aa27-d9798f73ea47
                © 2020 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
                : 03 March 2020
                : 22 March 2020
                Categories
                Article

                endophytic actinomycete,new species,fodinicola,genome analysis

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