Genome Report | Genome Report
Microbiol. Biotechnol. Lett. 2024; 52(2): 211-214
https://doi.org/10.48022/mbl.2403.03005
Du-Gyeong Han, Ji-A Jeong, Sung-Kyoung Lee, Seong-Han Kim, and Se-Mi Jeon*
Department of Bacterial Disease Research, Center for Infectious Disease Research, National Institute of Infectious Disease, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju 28159, Republic of Korea
Correspondence to :
Se-Mi Jeon, sem21c@korea.kr
This study aimed to confirm the induction of resistance to other drug classes by treating Mycobacterium abscessus with moxifloxacin, a fluoroquinolone used for treating nontuberculous mycobacteria infection, and to obtain genetic data for improving treatment. The reads were assembled and analyzed using reference strain sequence data, and the whole-genome and transcriptome sequences of four strains (MD2, MD4, MD6, and MD8) were reported. Antibiotic resistance was not induced by moxifloxacin treatment; however, transcriptomic analysis revealed that the expression of genes responding to stress was upregulated.
Keywords: Mycobacterium abscessus, genome, transcriptome, moxifloxacin, Fluoroquinolone, resistance
Nontuberculous mycobacteria (NTM) comprise more than 180 species of mycobacteria, excluding
Genomic DNA was isolated using Quick-DNA Fungal/ Bacterial Kits (Zymo, USA), and the size and quantity of DNA were determined using Genomic DNA ScreenTape Analysis (Agilent, USA). A DNA library was constructed using the TruSeq Nano DNA Kit (Illumina, USA), and the library quality was assessed using DNA ScreenTape Analysis. To generate sequence data from the validated library, the Hiseq X ten Reagent Kit version 2.5 (Illumina) and the Hiseq X ten instrument (Illumina) were used to obtain paired-end reads of 2 × 150 bp. The reads were trimmed to remove low-quality reads and indices, and reference assembly and variant calling analysis were performed using assembly data of the reference strain (GCF_000069185.1). All analyses related to the produced whole-genome data were performed using default parameters in CLC Genomics Workbench version 22.0 (Qiagen, USA).
Total RNA was isolated using the RNeasy® Plus Mini Kit (Qiagen) with Lysing Matrix B (MP biomedicals, USA), and residual DNA was removed by DNase treatment. The quantity and purity of the sample were determined using RNA ScreenTape Analysis (Agilent), and the ribosomal RNA amount in the sample was minimized using NEBNext® rRNA Depletion Kit (New England Biolabs, USA). Complementary DNA library was synthesized using the TruSeq Stranded Total RNA Library Prep Gold Kit (Illumina), and the quality of the produced library was assessed using DNA ScreenTape Analysis. Paired-end reads of 2 × 100 bp were generated using the NovaSeq 6000 S4 Reagent Kit version 1.5 (Illumina) and the NovaSeq 6000 instrument (Illumina). Low-quality reads and indices were removed from the data via the trimming process. RNAseq data were obtained using the track data extracted from the reference strain assembly data (GCF_000069185.1), and normalization and differentially expressed gene (DEG) analysis were performed according to the conditions set during metadata creation. All analyses related to the produced transcriptome data were performed using default parameters in CLC Genomics Workbench version 22.0 (Qiagen). Additionally, gene ontology analysis was conducted using the DAVID functional annotation analysis tool (https://david.ncifcrf.gov, National Institutes of Health, USA) and Prism version 10 (GraphPad, USA).
Whole-genome sequencing analysis revealed that 7,721,354 reads (total 1,154,129,994 bp, strain MD2), 7,017,030 reads (total 1,045,990,824 bp, strain MD4), 8,373,691 reads (total 1,247,466,370 bp, strain MD6), and 8,229,967 reads (total 1,224,067,405 bp, strain MD8) were acquired, and genome coverage was confirmed to be 225.72, 205.28, 244.79, and 238.12, respectively. The genetic stats (Table 1) of the four strains were mostly similar; however, the GC content of strain MD8, harvested at the latest time point, was relatively low compared with that of the other strain. Based on the variant calling analysis results, no significant mutations were detected in resistance genes such as
Table 1 . Genetic characteristics of
Strain | MD2 | MD4 | MD6 | MD8 |
---|---|---|---|---|
SRA [T*] | SRR26821764 | SRR26821762 | SRR26821760 | SRR26821758 |
accession No. [G*] | SRR26821765 | SRR26821763 | SRR26821761 | SRR26821759 |
GenBank [C*] | CP142119 | CP142117 | CP142115 | CP142113 |
accession No. [P*] | CP142120 | CP142118 | CP142116 | CP142114 |
Genome size (bp) | 5,079,890 | 5,079,889 | 5,079,889 | 5,079,890 |
GC contents (%) | 64.13 | 64.22 | 64.18 | 62.37 |
Contig | 2 | 2 | 2 | 2 |
Plasmid (bp) | 1 (23,319) | 1 (23,319) | 1 (23,319) | 1 (23,319) |
Total genes | 5025 | 5025 | 5025 | 5025 |
CDSs | 4972 | 4972 | 4972 | 4972 |
rRNA | 3 | 3 | 3 | 3 |
tRNA | 47 | 47 | 47 | 47 |
ncRNA | 2 | 2 | 2 | 2 |
*T, transcriptome; G, genome; C, chromosome; P, plasmid
As a result of analyzing gene expression patterns during the cultivation period after MXF treatment using transcriptomic data (Fig. 1), the number of genes whose trends changed over time gradually increased. The largest change was confirmed on day 8; however, there was no significant difference from other time points. In the common DEG analysis conducted to confirm gene expression trends according to antibiotic treatment (Fig. 2), there were more genes whose expression was upregulated than those whose expression was downregulated. Based on the common DEG analysis results, the functional distribution of the genes was analyzed (Fig. 2), and it was confirmed that genes related to DNA integration, transcription factor activity, sequence-specific DNA binding, oxidoreductase activity, and DNA binding were distributed in the gene group with upregulated expression, and genes related to fatty acid biosynthetic process, transferase activity, transferring acyl groups, FAD binding, biotin carboxylase activity, and metal ion binding were distributed in the gene group with downregulated expression.
In conclusion, we found that
This research was supported by the “Korea National Institute of Health” research project No. 2021-NI-014-01 and 2022-NI-013-01.
The authors have no financial conflicts of interest to declare.
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Microbiol. Biotechnol. Lett. 2024; 52(2): 208-210 https://doi.org/10.48022/mbl.2403.03009Do-Won Jeong
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