Nonomuraea monospora sp. nov., an actinomycete isolated from cave soil in Thailand, and emended description of the genus Nonomuraea

A novel actinomycete, designated strain PT708T, was isolated from cave soil collected in Pha Tup Cave Forest Park, Nan province, Thailand. It produced compounds with antimicrobial and anticancer activities. Its chemotaxonomic properties were consistent with those of members of the genus Nonomuraea . The major menaquinone was MK-9(H4), with minor amounts of MK-9(H6), MK-9(H2), MK-10(H2) and MK-8(H4). The polar lipid profile contained phosphatidylmonomethylethanolamine, diphosphatidylglycerol, hydroxy-phosphatidylmonomethylethanolamine, hydroxy-phosphatidylethanolamine, phosphatidylethanolamine, phosphatidylglycerol, phosphatidylinositol mannoside and phosphatidylinositol. The major fatty acids were iso-C16 : 0, 10-methyl C17 : 0, C16 : 0 and C17 : 1ω6c. Phylogenetic analysis based on 16S rRNA gene sequences indicated that strain PT708T belonged to the genus Nonomuraea and was most closely related to Nonomuraea rhizophila YIM 67092T (98.50 % sequence similarity) and Nonomuraea rosea GW 12687T (98.30 %). The genomic DNA G+C content of strain PT708T was 73.3 mol%. Unlike the recognized members of the genus Nonomuraea , the novel strain formed single spores at the tips of aerial hyphae. Based on the phenotypic, phylogenetic and genotypic evidence, strain PT708T represents a novel species of the genus Nonomuraea , for which the name Nonomuraea monospora sp. nov. is proposed. The type strain is PT708T ( = TISTR 1910T = JCM 16114T)

Utilization of rhizospheric Streptomyces for biological control of Rigidoporus sp. causing white root disease in rubber tree

13 páginas.-- 6 figuras.-- 2 tablas.-- 40 referenciasWhite root disease causing by Rigidoporus sp. is a severe problem that decreases latex productivity and can even cause mortality of rubber trees. With the aim to control biologically this disease, antifungal actinobacteria were isolated from rhizospheric soils of some medicinal plants cultivated in Thailand. Among all isolated actinobacteria, an isolate TM32 exhibited distinctive antagonistic activity against the fungus. Cell-free culture broth of the isolate showed median effective dose (ED50) of 2.61 ml l−1 (equal to 1.19 g l−1 of metalaxyl). The isolate was also able to solubilize phosphate and to produce chitinase (enzyme activity = 0.093 ± 0.004 U ml−1), siderophore (average clear zone, 11.75 ± 0.96 mm) and indole-3-acetic acid (54.00 ± 1.00 μg ml−1). Application of biocontrol starters produced by this isolate in nursery stage of rubber trees farming showed greater suppression of the disease than direct use of its biocontrol agents. The biocontrol starters also enhanced growth of the rubber trees by increasing their heights. This might be due to the persistent growth of the isolate by using the organic substrate remaining in soil, which could later antagonize fungal pathogens through colonization at the rhizosphere and immunization of the rubber trees. The isolate revealed phylogenetically related to Streptomyces sioyaensis supported by 99 % similarity of 16S rRNA gene sequences. We concluded that application of the biocontrol starters produced by this Streptomyces isolate would be an alternative approach for sustainable control of soil-borne fungal invasion in long-term rubber tree farming. © 2015, Koninklijke Nederlandse Planteziektenkundige Vereniging.This research was fully funded by the Thailand Research Fund (TRF) under the Small Projects on Rubber (SPR) with a grant no. RDG5250036 and RDG5350024. We thank Prof. Dr. Gavin Reynolds, Biomedical Science Research centre, Sheffield Hallam University, UK for his kind assistance on improvement of English usage.Peer reviewe

Antimicrobial activity and anticancer potential of a new Nonomuraea sp. strain PT708 originated from Thai cave soil

No abstract available

Link mining in signed social networks

Signed social networks that have both negative and positive links are becoming a popular form of social networks. This thesis seeks to gain insight into how a user creates a positive or negative connection towards other users. The sign of connections between the users can be predicted efficiently and reliably using a newly proposed measure. In this thesis, a new representation named Inverse Square Measure (ISM) is proposed. ISM is inspired from inverse square law, and uses node properties and distance-based metrics to represent a connection in social networks. ISM measures the importance and intensity of a pair of nodes using node properties and defines the distance between two nodes as a penalty. In addition, 16 edge-centric multi view networks are derived from the original network to compute the distance between two nodes in the network. In fact, having 16 multi view networks makes it possible to analyze a link between a pair of nodes from 16 different perspectives. In this thesis, the new representation is used for four problems: sign prediction, direction prediction, link prediction, and unified link and sign prediction. The experimental results on a group of six large networks including Amazon, Facebook, arXiv ASTRO-PH, Epinions, Slashdot, and Wikipedia prove the effectiveness of the proposed method. In addition, ISM is used as a feature vector on lineup performance prediction. In order to analyze and predict lineups' performance, the authors create a directed, weighted, and signed network of all lineups that teams use against each other from 2007-2016 seasons in National Basketball Association (NBA) games. The proposed model uses machine learning and network analysis techniques to predict the performance of a lineup under a given situation by utilizing graph theory and Inverse Square Measure. In order to evaluate the performance of the proposed method, several baseline models are established and results are compared. The final results over the span of ten years show that the proposed method improves the baseline results by 10% accuracy

Antimicrobial activity and anticancer potential of a new Nonomuraea sp. strain PT708 originated from Thai cave soil

No abstract available

Antimicrobial resistance: A multifaceted problem with multipronged solutions

Infectious diseases still stand as a major cause of morbidity and mortality, and this problem can be worsened with the current antimicrobial resistance crisis. To tackle this crisis more studies analyzing the causes, routes, and reservoirs where antimicrobial resistance can emerge and expand, together with new antimicrobials and strategies for fighting antimicrobial resistance are needed. In the current special issue of MicrobiologyOpen, a set of articles dealing with the multiple faces of antimicrobial resistance are presented. These articles provide new information for understanding and addressing this problem.Comunidad de Madrid, Grant/Award Number: S2017/BMD‐3691 ; Secretaría de Estado de Investigación, Desarrollo e Innovación, Grant/Award Number: BIO2017‐83128‐R; Instituto de Salud Carlos III, Grant/Award Number: RD16/0016/001