ABSTRACT
A Gram-staining-negative, strictly aerobic, non-motile, ovoid- to rod-shaped bacterium, designated as HZ20T, was isolated from the surface of a brown seaweed (Laminaria japonica) sample collected from the East China Sea. Colonies are 1.0-2.0 mm in diameter, smooth, circular, convex and yellow after grown on MA at 28 °C for 72 h. The strain was found to grow at 4-50 °C (optimum, 37 °C), pH 5.0-9.5 (optimum, pH 7.0-7.5) and with 0-10% (w/v) NaCl (optimum, 1.0-1.5%). Chemotaxonomic analysis showed ubiquinone-8 as the only quinone, C17:0 cyclo, C16:0, summed feature 8 (C18:1ω7c and/or C18:1ω6c) and summed feature 2 (C12:0 aldehyde/unknown 10.9525/C16:1 iso I/C14:0 3OH) as the major fatty acids (> 5%), and diphosphatidylglycerol, phosphatidylethanolamine, phosphatidylglycerol, one unidentified amino phospholipid, two unidentified phospholipids, five unidentified glycolipid and two unidentified lipids as the polar lipids. The DNA G + C content was 55.5 mol %. 16S rRNA gene sequences of the isolate showed highest similarities to Bordetella flabilis AU10664T (97.1%), Parapusillimonas granuli Ch07T (97.1%), Paracandidimonas soli IMT-305T (97.1%), Kerstersia gyiorum LMG5906T (97.0%) and Bordetella sputigena LMG 28641T (97.0%). The phylogenetic trees using 16S rRNA gene and genome sequences both showed that the strain HZ20T formed a deep branch separated from other related genera, indicating that it represents a novel species of a novel genus. The calculated average nucleotide identity (ANI) and percent of conserved proteins (POCP) values using genome sequences of strain HZ20T and related strains also support this conclusion. Based on the phenotypic properties and phylogenetic distinctiveness, we propose strain HZ20T (= MCCC 1K03465T = KCTC 62330T) to represent a novel species of a novel genus with the name Algicoccus marinus gen. nov. sp. nov.
Subject(s)
Alcaligenaceae/classification , Laminaria/microbiology , Phylogeny , Alcaligenaceae/chemistry , Alcaligenaceae/genetics , Bacterial Typing Techniques , Base Composition , China , DNA, Bacterial/genetics , Fatty Acids/analysis , Glycolipids/analysis , Phospholipids/analysis , RNA, Ribosomal, 16S/genetics , Seawater/microbiology , Sequence Analysis, DNA , Species Specificity , Ubiquinone/analysisABSTRACT
This work presents a new method for segmenting coronary arteries automatically in computed tomography angiography (CTA) data sets. The method automatically isolates heart and coronary arteries from surrounding structures and search for the probable location of coronary arteries by 3D region growing. Based on the dilation of the probable location, discrete wavelet transformation (DWT) and λ - mean operation complete accurate detection of coronary arties. Finally, the proposed method is tested on clinical CTA data-sets. The results on clinical datasets show that the proposed method is able to extract each branch of arteries when comparing to commercial software GE Healthcare and delineated ground truth.
