Victoriomyces antarcticus strain:FBL 165 Genome sequencing and assembly
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https://www.ncbi.nlm.nih.gov/sra/SRP236020
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Victoriomyces antarcticus gen. et sp. nov., was collected from soil samples of Victoria Land, Antarctica. In order to determine its taxonomic status and evolutionary relationships, a phylogenetic analysis was performed on DNA sequences from nuclear loci, assessing both ribosomal RNA and protein coding genes. Bayesian inference and Maximum likelihood analyses were used to estimate phylogenetic relationships. The analysis of the sequence data of the ribosomal RNA gene regions and of the benA and RPB2 indicated the presence of a genetically distinct taxon, Victoriomyces antarcticus (Mycobank MB 823713-4; Davolos et al., in press). Phylogeny obtained from the nuclear genes dataset showed that V. antarcticus constitutes one well-supported distinct lineage within the Cephalothecaceae (family incertae sedis in Sordariomycetes).However, the genome sequence of V. antarcticus, which can give insights not only for its potential biotechnological application but also for understanding its safety use, is still lacking. In this study, we report the draft genome sequence of V. antarcticus for safety biotechnological application. We sequenced the genome of V. antarcticus with massively parallel sequencing Illumina technology. The 300 bp library was sequenced using an Illumina MiSeq using a 2 Ã 300 bp paired-end reads strategy.This study was supported by the INAIL, Research Project on microorganisms with biotechnological potential (PAR 2016-2018).
南极维多利亚霉(Victoriomyces antarcticus gen. et sp. nov.)采自南极洲维多利亚地的土壤样本。为明确其分类地位与演化关系,研究人员针对核基因位点的DNA序列开展了系统发育分析,涵盖核糖体RNA(ribosomal RNA)与蛋白编码基因两类序列。研究采用贝叶斯推断(Bayesian inference)与最大似然法(Maximum likelihood)两种方法评估其系统发育关系。对核糖体RNA基因区域以及benA、RPB2基因的序列数据分析结果显示,存在一个遗传分化显著的类群——南极维多利亚霉(MycoBank MB 823713-4;Davolos等,待刊)。基于核基因数据集构建的系统发育树显示,南极维多利亚霉隶属于头囊霉科(Cephalothecaceae)下一个支持度极高的独立演化支,而该科在粪壳菌纲(Sordariomycetes)中的分类地位仍属未定。然而,南极维多利亚霉的基因组序列目前仍未获得,而该序列不仅可为其潜在生物技术应用提供参考,亦有助于理解其安全使用规范。本研究报道了南极维多利亚霉的草图基因组序列,旨在为其安全生物技术应用提供支撑。研究采用大规模并行测序的Illumina(Illumina)技术对该菌株的基因组进行测序,构建了300 bp插入片段的测序文库,并采用Illumina MiSeq平台以2×300 bp双端读长策略完成测序。本研究得到了意大利国家工伤保险局(INAIL)资助,项目为"具有生物技术潜力的微生物研究计划(PAR 2016-2018)"。
创建时间:
2022-02-22



