Streptomonospora mangrovi sp. nov., isolated from mangrove soil showing similar metabolic capabilities, but distinct secondary metabolites profiles

被引:0
作者
Cheng Zhen
Xin-Kai Chen
Xian-Feng Ge
Wen-Zheng Liu
机构
[1] Nanjing Normal University,School of Food and Pharmaceutical Engineering
来源
Archives of Microbiology | 2023年 / 205卷
关键词
Mangrove soil; Phylogeny; Pan-genome analysis; Metabolic profiling;
D O I
暂无
中图分类号
学科分类号
摘要
A novel actinomycete, designated strain S1-112 T, was isolated from a mangrove soil sample from Hainan, China, and characterized using a polyphasic approach. Strain S1-112 T showed the highest similarity of the 16S rRNA gene to Streptomonospora nanhaiensis 12A09T (99.24%). Their close relationship was further supported by phylogenetic analyses, which placed these two strains within a stable clade. The highest values of digital DNA–DNA hybridization (dDDH, 41.4%) and average nucleotide identity (ANI, 90.55%) were detected between strain S1-112 T and Streptomonospora halotolerans NEAU-Jh2-17 T. Genotypic and phenotypic characteristics demonstrated that strain S1-112 T could be distinguished from its closely related relatives. We also profiled the pan-genome and metabolic features of genomic assemblies of strains belonging to the genus Streptomonospora, indicating similar functional capacities and metabolic activities. However, all of these strains showed promising potential for producing diverse types of secondary metabolites. In conclusion, strain S1-112 T represents a novel species of the genus Streptomonospora, for which the name Streptomonospora mangrovi sp. nov. was proposed. The type strain is S1-112 T (= JCM 34292 T).
引用
收藏
相关论文
共 341 条
[1]  
Alikhan NF(2011)BLAST ring image generator (BRIG): simple prokaryote genome comparisons BMC Genomics 36 2251-2252
[2]  
Petty NK(2016)Thousands of microbial genomes shed light on interconnected biogeochemical processes in an aquifer system Nat Commun 35 86-98
[3]  
Ben Zakour NL(2020)KofamKOALA: KEGG ortholog assignment based on profile HMM and adaptive score threshold Bioinformatics 19 455-477
[4]  
Beatson SA(1985)Numerical classification of Int J Syst Bacteriol 49 29-35
[5]  
Anantharaman K(2012) and J Comput Biol 30 2114-2120
[6]  
Brown CT(2021)SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing Nucleic Acids Res 31 2443-2451
[7]  
Hug LA(2014)antiSMASH 6.0: improving cluster detection and comparison capabilities Bioinformatics 15 491-499
[8]  
Sharon I(2015)Trimmomatic: a flexible trimmer for illumina sequence data Bioinformatics 58 1556-1560
[9]  
Castelle CJ(2007)MEDUSA: a multi-draft based scaffolder Trends Microbiol 59 2471-2475
[10]  
Probst AJ(2008)Marine actinobacteria: new opportunities for natural product search and discovery Int J Syst Evol Microbiol 37 175-223