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Guo-Qing Zhang

Publications and source records attributed to Guo-Qing Zhang.

2 recordsLinked to original sources

Genomic evidence that Shouchella miscanthi (Shin et al. 2020) Joshi et al. 2022 is a later heterotypic synonym of Shouchella hunanensis (Patel and Gupta 2020) Joshi et al. 2022.

Shouchella hunanensis DSM 23008T and Shouchella miscanthi AK13T were originally described from forest soil and the rhizosphere of Miscanthus sacchariflorus, respectively. The two strains share closely similar phenotypic properties, and their 16S rRNA gene sequences show 99.5% similarity. Phylogenetic analysis of all 16S rRNA gene copies revealed copy-dependent placements, whereas the phylogenomic analysis placed the two type strains and three additional genomes in a strongly supported, short-branched cluster. Eight 16S rRNA gene copies were identified in each genome, with detectable intragenomic heterogeneity, particularly in AK13ᵀ. Pairwise average nt identity among the two type-strain genomes and three additional publicly available genomes ranged from 99.0% to 99.3%, clearly above the accepted species boundary. The digital DNA-DNA hybridization value between strains S. hunanensis DSM 23008T and S. miscanthi AK13T was 92.5%. On the basis of the combined phylogenetic, genomic and phenotypic evidence, S. miscanthi (Shin et al. 2020) Joshi et al. 2022 is proposed as a later heterotypic synonym of S. hunanensis (Patel and Gupta 2020) Joshi et al. 2022.

Phylogeny

Nanopore-based full-length transcriptome sequencing for understanding the underlying molecular mechanisms of rapid and slow progression of diabetes nephropathy.

BACKGROUND: Diabetic nephropathy (DN) has been a major factor in the outbreak of end-stage renal disease for decades. As the underlying mechanisms of DN development remains unclear, there is no ideal methods for the diagnosis and therapy. OBJECTIVE: We aimed to explore the key genes and pathways that affect the rate progression of DN. METHODS: Nanopore-based full-length transcriptome sequencing was performed with serum samples from DN patients with slow progression (DNSP, n = 5) and rapid progression (DNRP, n = 6). RESULTS: Here, transcriptome proclaimed 22,682 novel transcripts and obtained 45,808 simple sequence repeats, 1,815 transcription factors, 5,993 complete open reading frames, and 1,050 novel lncRNA from the novel transcripts. Moreover, a total of 341 differentially expressed transcripts (DETs) and 456 differentially expressed genes (DEGs) between the DNSP and DNRP groups were identified. Functional analyses showed that DETs mainly involved in ferroptosis-related pathways such as oxidative phosphorylation, iron ion binding, and mitophagy. Moreover, Functional analyses revealed that DEGs mainly involved in oxidative phosphorylation, lipid metabolism, ferroptosis, autophagy/mitophagy, apoptosis/necroptosis pathway. CONCLUSION: Collectively, our study provided a full-length transcriptome data source for the future DN research, and facilitate a deeper understanding of the molecular mechanisms underlying the differences in fast and slow progression of DN.

Humans